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Mayhew AJ, Phillips SM, Sohel N, Thabane L, McNicholas PD, de Souza RJ, Parise G, Raina P. The impact of different diagnostic criteria on the association of sarcopenia with injurious falls in the CLSA. J Cachexia Sarcopenia Muscle 2020; 11:1603-1613. [PMID: 32940016 PMCID: PMC7749560 DOI: 10.1002/jcsm.12622] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 07/26/2020] [Accepted: 08/23/2020] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Sarcopenia definitions recommend different combinations of variables (lean mass, strength, and physical function) and different methods of adjusting lean mass. The purpose of this paper was to address the gaps in the literature regarding how differences in the operationalization of sarcopenia impact the association between sarcopenia and injurious falls. METHODS Participants included 9936 individuals from the Canadian Longitudinal Study on Aging aged ≥65 years at baseline (2012-2015), with complete data for sarcopenia-related variables, injurious falls, and covariates. Sarcopenia was defined using all combinations of muscle variables (lean mass, grip strength, chair rise test, and gait speed) and methods of adjusting lean mass (height2 , weight, body mass index (BMI), and regressing on height and fat mass) recommended by the expert group sarcopenia definitions. Multiple cut off values for the measures were explored. The association between sarcopenia and injurious falls (0, 1, or 2+ falls) measured 18 months after baseline data collection were assessed using proportional odds regression models. RESULTS In men (n = 5162, 72.9 ± 5.6 years), the odds of having a higher level of injurious falls was between 1.43 and 2.14 greater when sarcopenia was defined as (i) lean mass adjusted for weight only; (ii) grip strength (<30 or <26 kg) only; (iii) lean mass adjusted for weight and grip strength (<30 or <26 kg); (iv) lean mass adjusted for BMI and grip strength (<26 kg); and (v) lean mass adjusted using the regression technique and grip strength (<30 or <26 kg). In women (n = 4774, 72.8 ± 5.6 years), only the combination of lean mass adjusted using regression with gait speed (<0.8 m/s) was associated with a significantly higher odds (1.46, 95% confidence interval: 1.01-2.10, P = 0.04) of having a higher level of injurious falls. CONCLUSIONS Sarcopenia definitions based on different combinations of muscle variables and methods of adjusting lean mass are not equally associated with injurious falls. In men, definitions including grip strength but not gait speed or the chair rise test, and adjusting lean mass for weight, BMI, or using the residual technique but not height2 , tended to be associated with injurious falls. In women, sarcopenia was generally not associated with injurious falls regardless of the definition used.
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Affiliation(s)
- Alexandra J Mayhew
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada.,McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada
| | - Stuart M Phillips
- Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - Nazmul Sohel
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada.,McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Biostatistics Unit, Research Institute at St Joes, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, L8N 4A6, Canada
| | - Paul D McNicholas
- Department of Mathematics & Statistics, McMaster University, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Population Genomics Program, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
| | - Gianni Parise
- Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - Parminder Raina
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada.,McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada
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Drall KM, Field CJ, Haqq AM, de Souza RJ, Tun HM, Morales-Lizcano NP, Konya TB, Guttman DS, Azad MB, Becker AB, Lefebvre DL, Mandhane PJ, Moraes TJ, Sears MR, Turvey SE, Subbarao P, Scott JA, Kozyrskyj AL. Vitamin D supplementation in pregnancy and early infancy in relation to gut microbiota composition and C. difficile colonization: implications for viral respiratory infections. Gut Microbes 2020; 12:1799734. [PMID: 32779963 PMCID: PMC7524344 DOI: 10.1080/19490976.2020.1799734] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
In Canada and the US, the infant diet is supplemented with vitamin D via supplement drops or formula. Pregnant and nursing mothers often take vitamin D supplements. Since little is known about the impact of this supplementation on infant gut microbiota, we undertook a study to determine the association between maternal and infant vitamin D supplementation, infant gut microbiota composition and Clostridioides difficile colonization in 1,157 mother-infant pairs of the CHILD (Canadian Healthy Infant Longitudinal Development) Cohort Study over 2009-2012. Logistic and MaAsLin regression were employed to assess associations between vitamin D supplementation, and C. difficile colonization, or other gut microbiota, respectively. Sixty-five percent of infants received a vitamin D supplement. Among all infants, infant vitamin D supplementation was associated with a lower abundance of genus Megamonas (q = 0.01) in gut microbiota. Among those exclusively breastfed, maternal prenatal supplementation was associated with lower abundance of Bilophila (q = 0.01) and of Lachnospiraceae (q = 0.02) but higher abundance of Haemophilus (q = 0.02). There were no differences in microbiota composition with vitamin D supplementation among partially and not breastfed infants. Neither infant nor maternal vitamin D supplementation were associated with C. difficile colonization, after adjusting for breastfeeding status and other factors. However, maternal consumption of vitamin-D fortified milk reduced the likelihood of C. difficile colonization in infants (adjustedOR: 0.40, 95% CI: 0.19-0.82). The impact of this compositional difference on later childhood health, especially defense against viral respiratory infection, may go beyond the expected effects of vitamin D supplements and remains to be ascertained.
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Affiliation(s)
- Kelsea M. Drall
- Departments of Pediatrics, Obstetrics & Gynecology, University of Alberta, Edmonton, AB, Canada
| | - Catherine J. Field
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Andrea M. Haqq
- Departments of Pediatrics, Obstetrics & Gynecology, University of Alberta, Edmonton, AB, Canada,Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Russell J. de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada,Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Hein M. Tun
- Departments of Pediatrics, Obstetrics & Gynecology, University of Alberta, Edmonton, AB, Canada,HKU-Pasteur Research Pole, School of Public Health, Hong Kong University, Hong Kong SAR, China
| | | | - Theodore B. Konya
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - David S. Guttman
- Department of Cell & Systems Biology, University of Toronto, Toronto, ON, Canada,Centre for the Analysis of Genome Evolution & Function, University of Toronto, Toronto, ON, Canada
| | - Meghan B. Azad
- Department of Pediatrics & Child Health, Children’s Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB, Canada
| | - Allan B. Becker
- Department of Pediatrics & Child Health, Children’s Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB, Canada
| | | | - Piush J. Mandhane
- Departments of Pediatrics, Obstetrics & Gynecology, University of Alberta, Edmonton, AB, Canada
| | - Theo J. Moraes
- Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ONCanada
| | - Malcolm R. Sears
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Stuart E. Turvey
- Department of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Padmaja Subbarao
- Department of Medicine, McMaster University, Hamilton, ON, Canada,Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ONCanada
| | - James A. Scott
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Anita L Kozyrskyj
- Departments of Pediatrics, Obstetrics & Gynecology, University of Alberta, Edmonton, AB, Canada,School of Public Health, University of Alberta, Edmonton, Canada,CONTACT : Anita L Kozyrskyj 3-527 Edmonton Clinic Health Academy, Edmonton, ABT6G 1C9, Canada
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53
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Moayyedi P, MacQueen G, Bernstein CN, Vanner S, Bercik P, Madsen KL, Surette M, Rioux JD, Dieleman LA, Verdú E, de Souza RJ, Otley A, Targownik L, Lavis J, Cunningham J, Marshall DA, Zelinsky S, Fernandes A. IMAGINE Network's Mind And Gut Interactions Cohort (MAGIC) Study: a protocol for a prospective observational multicentre cohort study in inflammatory bowel disease and irritable bowel syndrome. BMJ Open 2020; 10:e041733. [PMID: 33087380 PMCID: PMC7580069 DOI: 10.1136/bmjopen-2020-041733] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Gut microbiome and diet may be important in irritable bowel syndrome (IBS), inflammatory bowel disease (IBD) and comorbid psychiatric conditions, but the mechanisms are unclear. We will create a large cohort of patients with IBS, IBD and healthy controls, and follow them over time, collecting dietary and mental health information and biological samples, to assess their gastrointestinal (GI) and psychological symptoms in association with their diet, gut microbiome and metabolome. METHODS AND ANALYSIS This 5-year observational prospective cohort study is recruiting 8000 participants from 15 Canadian centres. Persons with IBS who are 13 years of age and older or IBD ≥5 years will be recruited. Healthy controls will be recruited from the general public and from friends or relatives of those with IBD or IBS who do not have GI symptoms. Participants answer surveys and provide blood, urine and stool samples annually. Surveys assess disease activity, quality of life, physical pain, lifestyle factors, psychological status and diet. The main outcomes evaluated will be the association between the diet, inflammatory, genetic, microbiome and metabolomic profiles in those with IBD and IBS compared with healthy controls using multivariate logistic regression. We will also compare these profiles in those with active versus quiescent disease and those with and without psychological comorbidity. ETHICS AND DISSEMINATION Approval has been obtained from the institutional review boards of all centres taking part in the study. We will develop evidence-based knowledge translation initiatives for patients, clinicians and policymakers to disseminate results to relevant stakeholders.Trial registration number: NCT03131414.
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Affiliation(s)
- Paul Moayyedi
- Medicine, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | | | | | | | - Premysl Bercik
- Medicine, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Karen L Madsen
- Medicine, University of Alberta, Edmonton, Ontario, Canada
| | - Michael Surette
- McMaster University Faculty of Health Sciences, Hamilton, Alberta, Canada
| | - John D Rioux
- Universite de Montreal, Montreal, Ontario, Canada
| | - Levinus A Dieleman
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Elena Verdú
- Division of Gastroenterology, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Department of Clinical Epidemiology and Biostatistics, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | | | | | - John Lavis
- McMaster University Faculty of Health Sciences, Hamilton, Alberta, Canada
| | - Jennifer Cunningham
- Population Health Research Institute, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Deborah A Marshall
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Sandra Zelinsky
- PaCER Innovates, University of Calgary, Calgary, Alberta, Canada
| | - Aida Fernandes
- Medicine, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
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Silva-Bermudez LS, Toloza FJK, Perez-Matos MC, de Souza RJ, Banfield L, Vargas-Villanueva A, Mendivil CO. Effects of oral contraceptives on metabolic parameters in adult premenopausal women: a meta-analysis. Endocr Connect 2020; 9:978-998. [PMID: 33048062 PMCID: PMC7576645 DOI: 10.1530/ec-20-0423] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 09/10/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To estimate the effect of oral contraceptives (OC) containing different progestins on parameters of lipid and carbohydrate metabolism through a systematic review and meta-analysis. PATIENTS AND METHODS Premenopausal women aged 18 or older, who received oral contraceptives containing chlormadinone, cyproterone, drospirenone, levonorgestrel, desogestrel, dienogest, gestodene or norgestimate, for at least 3 months. Outcome variables were changes in plasma lipids, BMI, insulin resistance and plasma glucose. We searched MEDLINE and EMBASE for randomized trials and estimated the pooled within-group change in each outcome variable using a random-effects model. We performed subgroup analyses by study duration (<12 months vs ≥12 months) and polycystic ovary syndrome (PCOS) status. RESULTS Eighty-two clinical trials fulfilled the inclusion criteria. All progestins (except dienogest) increased plasma TG, ranging from 12.1 mg/dL for levonorgestrel (P < 0.001) to 35.1 mg/dL for chlormadinone (P < 0.001). Most progestins also increased HDLc, with the largest effect observed for chlormadinone (+9.6 mg/dL, P < 0.001) and drospirenone (+7.4 mg/dL, P < 0.001). Meanwhile, levonorgestrel decreased HDLc by 4.4 mg/dL (P < 0.001). Levonorgestrel (+6.8 mg/dL, P < 0.001) and norgestimate (+11.5 mg/dL, P = 0.003) increased LDLc, while dienogest decreased it (-7.7 mg/dL, P = 0.04). Cyproterone slightly reduced plasma glucose. None of the progestins affected BMI or HOMA-IR. Similar results were observed in subgroups defined by PCOS or study duration. CONCLUSION Most progestins increase both TG and HDLc, their effect on LDLc varies widely. OC have minor or no effects on BMI, HOMA-IR and glycemia. The antiandrogen progestins dienogest and cyproterone displayed the most favorable metabolic profile, while levonorgestrel displayed the least favorable.
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Affiliation(s)
| | | | | | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Ontario, Canada
| | - Laura Banfield
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Ontario, Canada
| | | | - Carlos O Mendivil
- School of Medicine, Universidad de los Andes, and Fundación Santa Fe de Bogotá, Section of Endocrinology, Bogotá, Colombia
- Correspondence should be addressed to C O Mendivil:
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55
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Mayhew AJ, Phillips SM, Sohel N, Thabane L, McNicholas PD, de Souza RJ, Parise G, Raina P. Do Different Ascertainment Techniques Identify the Same Individuals as Sarcopenic in the Canadian Longitudinal Study on Aging? J Am Geriatr Soc 2020; 69:164-172. [PMID: 32936468 DOI: 10.1111/jgs.16823] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 08/09/2020] [Accepted: 08/14/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND/OBJECTIVES Sarcopenia is associated with poor health outcomes such as disability, institutionalization, and mortality. Efforts to manage sarcopenia clinically have been hindered by challenges in determining how to ascertain sarcopenia status correctly. The objective of this project was to assess the agreement between the different methods of ascertaining sarcopenia recommended by expert groups. DESIGN Cross-sectional study of baseline data (2011-2015) from the Canadian Longitudinal Study on Aging. SETTING Population-based multicenter study of community-dwelling participants. PARTICIPANTS Eligible participants (n = 12,646) aged 65 to 85 living within 25 to 50 km of 11 data collection sites in Canada. The analyses included 10,820 participants with the data required to diagnose sarcopenia. MEASUREMENTS Sarcopenia was operationalized as appendicular lean mass (ALM), ALM and grip strength, ALM and gait speed, and grip strength and gait speed. Within each combination, ALM was adjusted for height squared, weight, body mass index, and the residual of regressing lean mass on height and fat mass. The lowest 20th sex-specific percentile values were used as the cutoffs for low ALM. Low grip strength cutoffs of 35.5 kg for men and 20 kg for women and a gait speed cutoff of .8 m/s were used. RESULTS The mean age was 73.0 ± 5.6 years, and 51.9% of the sample was male. The agreement (Cohen's κ) between the different combinations of variables used to ascertain sarcopenia status was below .50. Agreement for the different lean mass adjustment techniques ranged from .04 to .76. CONCLUSION The combination of variables used to ascertain sarcopenia and many of the ALM adjustment techniques have insufficient agreement to be considered equivalent. This has important clinical implications for the management of sarcopenia because treatments may differ based on how sarcopenia is identified. To improve the clinical utility of sarcopenia, a unified definition of sarcopenia is required.
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Affiliation(s)
- Alexandra J Mayhew
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Labarge Centre for Mobility in Aging, Hamilton, Ontario, Canada.,McMaster Institute for Research on Aging, Hamilton, Ontario, Canada
| | - Stuart M Phillips
- Department of Kinesiology, Ivor Wynne Centre, McMaster University, Hamilton, Ontario, Canada
| | - Nazmul Sohel
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Labarge Centre for Mobility in Aging, Hamilton, Ontario, Canada.,McMaster Institute for Research on Aging, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Biostatistics Unit, Research Institute at St Joes, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Paul D McNicholas
- Department of Mathematics & Statistics, McMaster University, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Population Genomics Program, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
| | - Gianni Parise
- Department of Kinesiology, Ivor Wynne Centre, McMaster University, Hamilton, Ontario, Canada
| | - Parminder Raina
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Labarge Centre for Mobility in Aging, Hamilton, Ontario, Canada.,McMaster Institute for Research on Aging, Hamilton, Ontario, Canada
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Sanger N, Bhatt M, Singhal N, Panesar B, D’Elia A, Trottier M, Shahid H, Hillmer A, Baptist-Mohseni N, Roczyki V, Soni D, Brush M, Lovell E, Sanger S, Samaan MC, de Souza RJ, Thabane L, Samaan Z. Treatment Outcomes in Patients With Opioid Use Disorder Who Were First Introduced to Opioids by Prescription: A Systematic Review and Meta-Analysis. Front Psychiatry 2020; 11:812. [PMID: 33005151 PMCID: PMC7485127 DOI: 10.3389/fpsyt.2020.00812] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 07/28/2020] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Prescription opioid misuse has led to a new cohort of opioid use disorder (OUD) patients who were introduced to opioids through a legitimate prescription. This change has caused a shift in the demographic profile of OUD patients from predominantly young men to middle age and older people. The management of OUD includes medication-assisted treatment (MAT), which produces varying rates of treatment response. In this study, we will examine whether the source of first opioid use has an effect on treatment outcomes in OUD. Using a systematic review of the literature, we will investigate the association between source of first opioid introduction and treatment outcomes defined as continuing illicit opioid use and poly-substance use while in MAT. METHODS Medline, EMBASE, CINHAL, and PsycInfo were searched from inception to December 31st, 2019 inclusive using a comprehensive search strategy. Five pairs of reviewers conducted screening and data extraction independently in duplicate. The review is conducted and reported according to the PRISMA guidelines. A random-effects model was used for meta analyses assuming heterogeneity among the included studies. RESULTS The initial search results in 27,345 articles that were screened, and five observational studies were included in the qualitative and quantitative analyses. Our results found that those who were introduced to opioids through a legitimate prescription were significantly less likely to have illicit opioid use (0.70, 95% CI 0.50, 0.99) while on MAT. They were also less likely to use cannabis (0.54, 95% CI 0.32, 0.89), alcohol (0.75, 95% CI 0.59, 0.95), cocaine (0.50, 95% CI 0.29, 0.85), and injection drug use (0.25, 95% CI 0.14, 0.43) than those introduced to opioids through recreational means. CONCLUSION This study shows that the first exposure to opioids, whether through a prescription or recreationally, influences prognosis and treatment outcomes of opioid use disorder. Although the increased pattern of prescribing opioids may have led to increased OUD in a new cohort of patients, these patients are less likely to continue to use illicit drugs and have a different prognostic and clinical profile that requires a tailored approach to treatment. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42017058143.
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Affiliation(s)
- Nitika Sanger
- Medical Sciences Graduate Program, McMaster University, Hamilton, ON, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Meha Bhatt
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Nikhita Singhal
- Undergraduate MD Program, McMaster University, Hamilton, ON, Canada
| | - Balpreet Panesar
- Life Sciences Undergraduate Program, McMaster University, Hamilton, ON, Canada
- Department of Biology, McMaster University, Hamilton, ON, Canada
| | - Alessia D’Elia
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
- McMaster Integrative Neuroscience Discovery & Study Program, McMaster University, Hamilton, ON, Canada
| | - Maegan Trottier
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Hamnah Shahid
- Arts & Sciences, McMaster University, Hamilton, ON, Canada
| | - Alannah Hillmer
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Natasha Baptist-Mohseni
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Victoria Roczyki
- Department of Biology, McMaster University, Hamilton, ON, Canada
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Divya Soni
- Health Sciences Undergraduate Program, McMaster University, Hamilton, ON, Canada
| | - Maurana Brush
- Undergraduate MD Program, McMaster University, Hamilton, ON, Canada
| | - Elizabeth Lovell
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
- Postgraduate Psychiatry Program, McMaster University, Hamilton, ON, Canada
| | - Stephanie Sanger
- Health Science Library, McMaster University, Hamilton, ON, Canada
| | - M. Constantine Samaan
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, ON, Canada
| | - Russell J. de Souza
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
- Biostatistics Unit, St Joseph’s Healthcare—Hamilton, Hamilton, ON, Canada
| | - Zainab Samaan
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Kandasamy S, Nguyen L, Desai D, Anand SS, Sherifali D, de Souza RJ. Barriers to, and Facilitators of, Lifestyle Changes to Prevent Gestational Diabetes: An Interpretive Description of South Asian Women and Health-Care Providers Living and Working in Southern Ontario, Canada. Can J Diabetes 2020; 45:144-154. [PMID: 33039328 DOI: 10.1016/j.jcjd.2020.07.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 04/25/2020] [Accepted: 07/02/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVES People of South Asian ancestry are the fastest growing non-Caucasian ethnic group in Canada and are at high risk for developing type 2 diabetes and coronary heart disease. Pregnant South Asian women have a 2-fold increased risk of developing gestational diabetes, which increases their risk of type 2 diabetes and coronary heart disease. The specific objectives of this study were to explore the perceptions of health behaviours (diet and physical activity) during pregnancy in the South Asian community. METHODS We used interpretive description to further understand the cultural and contextual factors that influence the knowledge, attitudes and practices of diet and physical activity of South Asian women of childbearing age and those who provide health care to this group. RESULTS Two major themes that emerged from the perspectives of 10 South Asian pregnant women included: (1) importance of considering an individual's locus of control; and (2) support (emotional and information exchange) from family, friends and health-care providers. Two major themes identified by the 11 health-care providers were: (1) cultural awareness in caring for South Asian women during pregnancy; and (2) clinic management, logistics and resources. A common theme for both South Asian pregnant women and health-care providers was the importance of considering the cultural landscape in relation to how knowledge is obtained, shared and valued. CONCLUSION A better understanding of these cultural underpinnings may support the development of interventions tailored for pregnant South Asian women and their health-care providers.
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Affiliation(s)
- Sujane Kandasamy
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
| | - Linda Nguyen
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - Dipika Desai
- Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada
| | - Sonia S Anand
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Diana Sherifali
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; School of Nursing, McMaster University, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada.
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de Souza RJ, Dehghan M, Mente A, Bangdiwala SI, Ahmed SH, Alhabib KF, Altuntas Y, Basiak-Rasała A, Dagenais GR, Diaz R, Amma LI, Kelishadi R, Khatib R, Lear SA, Lopez-Jaramillo P, Mohan V, Poirier P, Rangarajan S, Rosengren A, Ismail R, Swaminathan S, Wentzel-Viljoen E, Yeates K, Yusuf R, Teo KK, Anand SS, Yusuf S. Association of nut intake with risk factors, cardiovascular disease, and mortality in 16 countries from 5 continents: analysis from the Prospective Urban and Rural Epidemiology (PURE) study. Am J Clin Nutr 2020; 112:208-219. [PMID: 32433740 DOI: 10.1093/ajcn/nqaa108] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 04/21/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The association of nuts with cardiovascular disease and deaths has been investigated mostly in Europe, the USA, and East Asia, with few data available from other regions of the world or from low- and middle-income countries. OBJECTIVE To assess the association of nuts with mortality and cardiovascular disease (CVD). METHODS The Prospective Urban Rural Epidemiology study is a large multinational prospective cohort study of adults aged 35-70 y from 16 low-, middle-, and high-income countries on 5 continents. Nut intake (tree nuts and ground nuts) was measured at the baseline visit, using country-specific validated FFQs. The primary outcome was a composite of mortality or major cardiovascular event [nonfatal myocardial infarction (MI), stroke, or heart failure]. RESULTS We followed 124,329 participants (age = 50.7 y, SD = 10.2; 41.5% male) for a median of 9.5 y. We recorded 10,928 composite events [deaths (n = 8,662) or major cardiovascular events (n = 5,979)]. Higher nut intake (>120 g per wk compared with <30 g per mo) was associated with a lower risk of the primary composite outcome of mortality or major cardiovascular event [multivariate HR (mvHR): 0.88; 95% CI: 0.80, 0.96; P-trend = 0.0048]. Significant reductions in total (mvHR: 0.77; 95% CI: 0.69, 0.87; P-trend <0.0001), cardiovascular (mvHR: 0.72; 95% CI: 0.56, 0.92; P-trend = 0.048), and noncardiovascular mortality (mvHR: 0.82; 95% CI: 0.70, 0.96; P-trend = 0.0046) with a trend to reduced cancer mortality (mvHR: 0.81; 95% CI: 0.65, 1.00; P-trend = 0.081) were observed. No significant associations of nuts were seen with major CVD (mvHR: 0.91; 95% CI: 0.81, 1.02; P-trend = 0.14), stroke (mvHR: 0.98; 95% CI: 0.84, 1.14; P-trend = 0.76), or MI (mvHR: 0.86; 95% CI: 0.72, 1.04; P-trend = 0.29). CONCLUSIONS Higher nut intake was associated with lower mortality risk from both cardiovascular and noncardiovascular causes in low-, middle-, and high-income countries.
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Affiliation(s)
- Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada
| | | | - Andrew Mente
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada
| | - Shrikant I Bangdiwala
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada
| | | | - Khalid F Alhabib
- Department of Cardiac Sciences, King Fahad Cardiac Center, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Yuksel Altuntas
- Department of Endocrinology and Metabolism, University of Health Sciences, Sisli Hamidiye Etfal Teaching and Research Hospital , Istanbul, Turkey
| | | | | | - Rafael Diaz
- Estudios Clinicos Latinoamerica (ECLA), Rosario, Santa Fe, Argentina
| | - Leela Itty Amma
- Health Action by People/Amrita Institute of Medical Sciences, Kerala, India
| | - Roya Kelishadi
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Rasha Khatib
- Institute for Community and Public Health, Birzeit University, Birzeit, Palestine.,Advocate Research Institute, Advocate Health Care, Chicago, IL, USA
| | - Scott A Lear
- Population Health Research Institute, Hamilton, ON, Canada.,Faculty of Health Sciences, Simon Fraser University, Vancouver, Canada
| | - Patricio Lopez-Jaramillo
- Instituto Masira, Medical School, Facultad de Ciencias de la Salud, Universidad de Santander (UDES) and Fundacion Oftalmologica de Santander (FOSCAL), Bucaramanga, Colombia
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai, India.,Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Paul Poirier
- Institut universitaire de cardiologie et de pneumologie de Québec, Quebec, Canada
| | | | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Rosnah Ismail
- Community Health Department, Faculty of Medicine, National University of Malaysia, Kuala Lumpur, Malaysia
| | | | - Edelweiss Wentzel-Viljoen
- Centre of Excellence for Nutrition, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Karen Yeates
- Department of Medicine, Division of Nephrology, Queens University, Ontario, Canada
| | - Rita Yusuf
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | - Koon K Teo
- Population Health Research Institute, Hamilton, ON, Canada.,Department of Medicine, Faculty of Health Sciences, McMaster University, Ontario, Canada
| | - Sonia S Anand
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada.,Department of Medicine, Faculty of Health Sciences, McMaster University, Ontario, Canada
| | - Salim Yusuf
- Population Health Research Institute, Hamilton, ON, Canada.,Department of Medicine, Faculty of Health Sciences, McMaster University, Ontario, Canada
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59
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Semnani-Azad Z, Khan TA, Blanco Mejia S, de Souza RJ, Leiter LA, Kendall CWC, Hanley AJ, Sievenpiper JL. Association of Major Food Sources of Fructose-Containing Sugars With Incident Metabolic Syndrome: A Systematic Review and Meta-analysis. JAMA Netw Open 2020; 3:e209993. [PMID: 32644139 PMCID: PMC7348689 DOI: 10.1001/jamanetworkopen.2020.9993] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
IMPORTANCE Sugar-sweetened beverages (SSBs) are associated with increased risk of metabolic syndrome (MetS). However, the role of other important food sources of fructose-containing sugars in the development of MetS remains unclear. OBJECTIVE To examine the association of major food sources of fructose-containing sugars with incident MetS. DATA SOURCES MEDLINE, Embase, and Cochrane Library were searched from database inception to March 24, 2020, in addition to manual searches of reference lists from included studies using the following search terms: sugar-sweetened beverages, fruit drink, yogurt, metabolic syndrome, and prospective study. STUDY SELECTION Inclusion criteria included prospective cohort studies of 1 year or longer that investigated the association of important food sources of fructose-containing sugars with incident MetS in participants free of MetS at the start of the study. DATA EXTRACTION AND SYNTHESIS Study quality was assessed using the Newcastle-Ottawa Scale. Extreme quantile risk estimates for each food source with MetS incidence were pooled using a random-effects meta-analysis. Interstudy heterogeneity was assessed (Cochran Q statistic) and quantified (I2 statistic). Dose-response analyses were performed using a 1-stage linear mixed-effects model. The certainty of the evidence was assessed using GRADE (Grading of Recommendations, Assessment, Development, and Evaluation). Results were reported according to the Meta-analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. MAIN OUTCOMES AND MEASURES Pooled risk ratio (RR) of incident MetS (pairwise and dose response). RESULTS Thirteen prospective cohort studies (49 591 participants [median age, 51 years; range, 6-90 years]; 14 205 with MetS) that assessed 8 fructose-containing foods and MetS were included. An adverse linear dose-response association for SSBs (RR for 355 mL/d, 1.14; 95% CI, 1.05-1.23) and an L-shaped protective dose-response association for yogurt (RR for 85 g/d, 0.66; 95% CI, 0.58-0.76) and fruit (RR for 80 g/d, 0.82; 95% CI, 0.78-0.86) was found. Fruit juices (mixed and 100%) had a U-shaped dose-response association with protection at moderate doses (mixed fruit juice: RR for 125 mL/d, 0.58; 95% CI, 0.42-0.79; 100% fruit juice: RR for 125 mL/d, 0.77; 95% CI, 0.61-0.97). Honey, ice cream, and confectionary had no association with MetS incidence. The certainty of the evidence was moderate for SSBs, yogurt, fruit, mixed fruit juice, and 100% fruit juice and very low for all other food sources. CONCLUSIONS AND RELEVANCE The findings of this meta-analysis suggest that the adverse association of SSBs with MetS does not extend to other food sources of fructose-containing sugars, with a protective association for yogurt and fruit throughout the dose range and for 100% fruit juice and mixed fruit juices at moderate doses. Therefore, current policies and guidelines on the need to limit sources of free sugars may need to be reexamined.
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Affiliation(s)
- Zhila Semnani-Azad
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Tauseef A. Khan
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Centre, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Centre, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Russell J. de Souza
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Centre, St Michael’s Hospital, Toronto, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Lawrence A. Leiter
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Centre, St Michael’s Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Cyril W. C. Kendall
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Centre, St Michael’s Hospital, Toronto, Ontario, Canada
- Division of Nutrition and Dietetics, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Anthony J. Hanley
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Ontario, Canada
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - John L. Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Centre, St Michael’s Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
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Azab SM, de Souza RJ, Teo KK, Anand SS, Williams NC, Holzschuher J, McGlory C, Philips SM, Britz-McKibbin P. Serum nonesterified fatty acids have utility as dietary biomarkers of fat intake from fish, fish oil, and dairy in women. J Lipid Res 2020; 61:933-944. [PMID: 32234835 PMCID: PMC7269757 DOI: 10.1194/jlr.d120000630] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/26/2020] [Indexed: 12/16/2022] Open
Abstract
Nutritional studies rely on various biological specimens for FA determination, yet it is unclear how levels of serum NEFAs correlate with other circulating lipid pools. Here, we used a high-throughput method (<4 min/sample) based on multisegment injection-nonaqueous capillary electrophoresis-mass spectrometry (MSI-NACE-MS) to investigate whether specific serum NEFAs have utility as biomarkers of dietary fat intake in women. We first identified circulating NEFAs correlated with long-term/habitual food intake among pregnant women with contrasting dietary patterns (n = 50). Acute changes in serum NEFA trajectories were also studied in nonpregnant women (n = 18) following high-dose (5 g/day) fish oil (FO) supplementation or isoenergetic sunflower oil placebo over 56 days. In the cross-sectional study, serum ω-3 FAs correlated with self-reported total ω-3 daily intake, notably EPA as its NEFA (r = 0.46; P = 0.001), whereas pentadecanoic acid was associated with full-fat dairy intake (r = 0.43; P = 0.002), outcomes consistent with results from total FA serum hydrolysates. In the intervention cohort, serum ω-3 NEFAs increased 2.5-fold from baseline within 28 days following FO supplementation, and this increase was most pronounced for EPA (P = 0.0004). Unlike for DHA, circulating EPA as its NEFA also strongly correlated to EPA concentrations measured from erythrocyte phospholipid hydrolysates (r = 0.66; P = 4.6 × 10-10) and was better suited to detect dietary nonadherence. We conclude that MSI-NACE-MS offers a rapid method to quantify serum NEFAs and objectively monitor dietary fat intake in women that is complementary to food-frequency questionnaires.
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Affiliation(s)
- Sandi M Azab
- Departments of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada; Department of Pharmacognosy, Alexandria University, Alexandria, Egypt
| | - Russell J de Souza
- Medicine, McMaster University, Hamilton, ON, Canada; Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Koon K Teo
- Medicine, McMaster University, Hamilton, ON, Canada
| | - Sonia S Anand
- Medicine, McMaster University, Hamilton, ON, Canada; Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | | | - Jordan Holzschuher
- Departments of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | - Chris McGlory
- Kinesiology, McMaster University, Hamilton, ON, Canada
| | | | - Philip Britz-McKibbin
- Departments of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada. mailto:
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61
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Zulyniak MA, de Souza RJ, Shaikh M, Ramasundarahettige C, Tam K, Williams N, Desai D, Lefebvre DL, Gupta M, Subbarao P, Becker AB, Mandhane PJ, Turvey SE, Moraes T, Azad MB, Teo KK, Sears MR, Anand SS. Ethnic differences in maternal diet in pregnancy and infant eczema. PLoS One 2020; 15:e0232170. [PMID: 32407330 PMCID: PMC7224524 DOI: 10.1371/journal.pone.0232170] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 04/08/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The global prevalence of childhood eczema has increased over the last few decades, with a marked increase in high-income countries. Differences in prevalence of childhood eczema between countries and ethnicities suggest that genetic and early modifiable environmental factors, such as dietary intake, may underlie this observation. To investigate the association between pregnancy diet and infant eczema in a consortium of prospective Canadian birth cohorts predominantly comprised of white Europeans and South Asians. METHODS We evaluated the association of maternal dietary patterns reported during pregnancy (assessed at 24-28 weeks gestation using a semi-quantitiative food-frequency questionnaire) with parent-reported physician-diagnosed infant eczema at 1-year from 2,160 mother-infant pairs. Using three dietary patterns ("Western", "plant-based", and "Balanced") previously derived in this cohort using principal component analysis, we used multivariable logistic regression to determine the association of these dietary patterns with infant eczema, adjusted for potential confounders. RESULTS We observed a lower odds of eczema in the full sample combining white Europeans and South Asians with greater adherence to a plant-based (OR = 0.65; 95% CI: 0.55, 0.76; <0.001) and Western dietary pattern (OR = 0.73; 95% CI: 0.60, 0.89; P<0.01), after adjusting for other known predictors of eczema, including ethnicity, which was not significant. No associations were observed for the balanced diet. An interaction between the Western diet and ethnicity was observed (P<0.001). Following stratification by ethnicity, a protective association between the plant-based diet and infant eczema was confirmed in both white Europeans (OR = 0.59; 95% CI: 0.47, 0.74; P<0.001) and South Asians (OR = 0.77; 95% CI: 0.61, 0.97; P = 0.025). In white Europeans only, a Western diet was associated with a lower odds of infant eczema (OR = 0.69; 95% CI: 0.56, 0.87; P = 0.001) while a balanced diet increased the odds of infant eczema (OR = 1.23; 95% CI: 1.02, 1.49; P = 0.03). Beyond a plant-based diet, no significant associations with other dietary patterns were observed in South Asians. CONCLUSION A plant-based diet during pregnancy is associated with a lowered odds of infant eczema at 1 year in all participants. Future studies of the components of plant-based diet which underlie the lower risk of eczema are needed.
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Affiliation(s)
- Michael A. Zulyniak
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom
| | - Russell J. de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Mateen Shaikh
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | | | - Keith Tam
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Natalie Williams
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Dipika Desai
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Diana L. Lefebvre
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Milan Gupta
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Canadian Collaborative Research Network, Brampton, Ontario, Canada
| | - Padmaja Subbarao
- Hospital for Sick Children & Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Allan B. Becker
- Department of Immunology, Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Piushkumar J. Mandhane
- Department of Paediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Stuart E. Turvey
- Department of Paediatrics, Faculty of Medicine, BC Children’s Hospital and Child and Family Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Theo Moraes
- Hospital for Sick Children & Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Meghan B. Azad
- Department of Pediatrics and Child Health, Health Sciences Centre, Children’s Hospital, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Koon K. Teo
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Malcolm R. Sears
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Sonia S. Anand
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
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62
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Liu Q, Ayoub‐Charette S, Khan TA, Au‐Yeung F, Blanco Mejia S, de Souza RJ, Wolever TM, Leiter LA, Kendall CW, Sievenpiper JL. Important Food Sources of Fructose-Containing Sugars and Incident Hypertension: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies. J Am Heart Assoc 2019; 8:e010977. [PMID: 31826724 PMCID: PMC6951071 DOI: 10.1161/jaha.118.010977] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 10/08/2019] [Indexed: 02/07/2023]
Abstract
Background Sugar-sweetened beverages are associated with hypertension. We assessed the relation of important food sources of fructose-containing sugars with incident hypertension using a systematic review and meta-analysis of prospective cohort studies. Methods and Results We searched MEDLINE, EMBASE, and Cochrane (through December week 2, 2018) for eligible studies. For each food source, natural log-transformed risk ratios (RRs) for incident hypertension were pooled using pair-wise meta-analysis and linear and nonlinear dose-response meta-analyses. Certainty in our evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation. We identified 26 reports, including 15 prospective cohorts (930 677 participants; 363 459 cases). Sugar-sweetened beverages showed harmful (RRper-355-mL, 1.10 [95% CI, 1.08, 1.12]) whereas fruit (RRper-240-g, 0.94 [95% CI, 0.96, 0.99]) and yogurt showed protective associations (RRper-125-g, 0.95 [95% CI, 0.94, 0.97]) with incident hypertension throughout the dose range. One hundred percent fruit juice showed a protective association only at moderate doses (RRat-100-mL, 0.97 [95% CI, 0.94, 0.99]). The pair-wise protective association of dairy desserts was not supported by linear dose-response analysis. Fruit drinks or sweet snacks were not associated with hypertension. Certainty of the evidence was "low" for sugar-sweetened beverages, 100% fruit juice, fruit, and yogurt and "very low" for fruit drinks, sweet snacks, and dairy desserts. Conclusions The harmful association between sugar-sweetened beverages and hypertension does not extend to other important food sources of fructose-containing sugars. Further research is needed to improve our estimates and better understand the dose-response relationship between food sources of fructose-containing sugars and hypertension. Registration URL: https://www.clinicaltrials.gov/. Unique identifier: NCT02702375.
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Affiliation(s)
- Qi Liu
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Sabrina Ayoub‐Charette
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Tauseef Ahmad Khan
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Fei Au‐Yeung
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Sonia Blanco Mejia
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Russell J. de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of Health Research Methods, Evidence, and ImpactFaculty of Health SciencesMcMaster UniversityHamiltonOntarioCanada
| | - Thomas M.S. Wolever
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Division of Endocrinology and MetabolismSt. Michael's HospitalTorontoOntarioCanada
- Li Ka Shing Knowledge InstituteSt. Michael's HospitalTorontoOntarioCanada
| | - Lawrence A. Leiter
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Division of Endocrinology and MetabolismSt. Michael's HospitalTorontoOntarioCanada
- Li Ka Shing Knowledge InstituteSt. Michael's HospitalTorontoOntarioCanada
| | - Cyril W.C. Kendall
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
- College of Pharmacy and NutritionUniversity of SaskatchewanSaskatoonSaskatchewanCanada
| | - John L. Sievenpiper
- Toronto 3D Knowledge Synthesis and Clinical Trials UnitClinical Nutrition and Risk Factor Modification CentreSt. Michael's HospitalTorontoOntarioCanada
- Department of Nutritional SciencesFaculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Division of Endocrinology and MetabolismSt. Michael's HospitalTorontoOntarioCanada
- Li Ka Shing Knowledge InstituteSt. Michael's HospitalTorontoOntarioCanada
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Anand SS, Abonyi S, Arbour L, Balasubramanian K, Brook J, Castleden H, Chrisjohn V, Cornelius I, Davis AD, Desai D, de Souza RJ, Friedrich MG, Harris S, Irvine J, L'Hommecourt J, Littlechild R, Mayotte L, McIntosh S, Morrison J, Oster RT, Picard M, Poirier P, Schulze KM, Toth EL. Explaining the variability in cardiovascular risk factors among First Nations communities in Canada: a population-based study. Lancet Planet Health 2019; 3:e511-e520. [PMID: 31868600 DOI: 10.1016/s2542-5196(19)30237-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 11/15/2019] [Accepted: 11/19/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Historical, colonial, and racist policies continue to influence the health of Indigenous people, and they continue to have higher rates of chronic diseases and reduced life expectancy compared with non-Indigenous people. We determined factors accounting for variations in cardiovascular risk factors among First Nations communities in Canada. METHODS Men and women (n=1302) aged 18 years or older from eight First Nations communities participated in a population-based study. Questionnaires, physical measures, blood samples, MRI of preclinical vascular disease, and community audits were collected. In this cross-sectional analysis, the main outcome was the INTERHEART risk score, a measure of cardiovascular risk factor burden. A multivariable model was developed to explain the variations in INTERHEART risk score among communities. The secondary outcome was MRI-detected carotid wall volume, a measure of subclinical atherosclerosis. FINDINGS The mean INTERHEART risk score of all communities was 17·2 (SE 0·2), and more than 85% of individuals had a risk score in the moderate to high risk range. Subclinical atherosclerosis increased significantly across risk score categories (p<0·0001). Socioeconomic advantage (-1·4 score, 95% CI -2·5 to -0·3; p=0·01), trust between neighbours (-0·7, -1·2 to -0·3; p=0·003), higher education level (-1·9, -2·9 to -0·8, p<0·001), and higher social support (-1·1, -2·0 to -0·2; p=0·02) were independently associated with a lower INTERHEART risk score; difficulty accessing routine health care (2·2, 0·3 to 4·1, p=0·02), taking prescription medication (3·5, 2·8 to 4·3; p<0·001), and inability to afford prescription medications (1·5, 0·5 to 2·6; p=0·003) were associated with a higher INTERHEART risk score. Collectively, these factors explained 28% variation in the cardiac risk score among communities. Communities with higher socioeconomic advantage and greater trust, and individuals with higher education and social support, had a lower INTERHEART risk score. Communities with difficulty accessing health care, and individuals taking or unable to afford prescription medications, had a higher INTERHEART risk score. INTERPRETATION Cardiac risk factors are lower in communities with high socioeconomic advantage, greater trust, social support and educational opportunities, and higher where it is difficult to access health care or afford prescription medications. Strategies to optimise the protective factors and reduce barriers to health care in First Nations communities might contribute to improved health and wellbeing. FUNDING Heart and Stroke Foundation of Canada, Canadian Partnership Against Cancer, Canadian Institutes for Health Research.
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Affiliation(s)
- Sonia S Anand
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada; Department of Health Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada; Population Health Research Institute, Hamiliton Health Sciences, Hamilton, ON, Canada.
| | - Sylvia Abonyi
- Faculty of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, SK, Canada
| | - Laura Arbour
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; Division of Biomedical Sciences, University of Victoria, Victoria, BC, Canada
| | - Kumar Balasubramanian
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada; Population Health Research Institute, Hamiliton Health Sciences, Hamilton, ON, Canada
| | - Jeffrey Brook
- Dalla Lana School of Public Health and Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada
| | - Heather Castleden
- Department of Geogrophy and Planning, Queens University, Kingston, ON, Canada
| | - Vicky Chrisjohn
- Oneida Health Centre, Oneida Nation of the Thames, Southwold, ON, Canada
| | - Ida Cornelius
- Oneida Health Centre, Oneida Nation of the Thames, Southwold, ON, Canada
| | | | - Dipika Desai
- Population Health Research Institute, Hamiliton Health Sciences, Hamilton, ON, Canada
| | - Russell J de Souza
- Department of Health Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada; Population Health Research Institute, Hamiliton Health Sciences, Hamilton, ON, Canada
| | - Matthias G Friedrich
- Department of Medicine and Diagnostic Radiology, McGill University, Montréal, QC, Canada
| | - Stewart Harris
- Department of Family Medicine, Western University, London, ON, Canada
| | - James Irvine
- Department of Family Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | | | - Randy Littlechild
- Maskwacis Health Services, Maskwacis First Nation, Maskwacis, AB, Canada
| | - Lisa Mayotte
- Health Services, Lac La Ronge Indian Band, La Ronge, SK, Canada
| | - Sarah McIntosh
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | | | - Richard T Oster
- Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Manon Picard
- Health Services, Wendake Reserve, Wendake, QC, Canada
| | - Paul Poirier
- Institut universitaire de cardiologie et de pneumologie de Quebec, Université Laval, QC, Canada
| | - Karleen M Schulze
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada; Population Health Research Institute, Hamiliton Health Sciences, Hamilton, ON, Canada
| | - Ellen L Toth
- Department of Medicine, University of Alberta, Edmonton, AB, Canada
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Khan TA, Tayyiba M, Agarwal A, Mejia SB, de Souza RJ, Wolever TMS, Leiter LA, Kendall CWC, Jenkins DJA, Sievenpiper JL. Relation of Total Sugars, Sucrose, Fructose, and Added Sugars With the Risk of Cardiovascular Disease: A Systematic Review and Dose-Response Meta-analysis of Prospective Cohort Studies. Mayo Clin Proc 2019; 94:2399-2414. [PMID: 31806098 DOI: 10.1016/j.mayocp.2019.05.034] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 03/27/2019] [Accepted: 05/14/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To determine the association of total and added fructose-containing sugars on cardiovascular (CVD) incidence and mortality. METHODS MEDLINE, EMBASE and Cochrane Library were searched from January 1, 1980, to July 31, 2018. Prospective cohort studies assessing the association of reported intakes of total, sucrose, fructose and added sugars with CVD incidence and mortality in individuals free from disease at baseline were included. Risk estimates were pooled using the inverse variance method, and dose-response analysis was modeled. RESULTS Eligibility criteria were met by 24 prospective cohort comparisons (624,128 unique individuals; 11,856 CVD incidence cases and 12,224 CVD mortality cases). Total sugars, sucrose, and fructose were not associated with CVD incidence. Total sugars (risk ratio, 1.09 [95% confidence interval, 1.02 to 1.17]) and fructose (1.08 [1.01 to 1.15]) showed a harmful association for CVD mortality, there was no association for added sugars and a beneficial association for sucrose (0.94 [0.89 to 0.99]). Dose-response analyses showed a beneficial linear dose-response gradient for sucrose and nonlinear dose-response thresholds for harm for total sugars (133 grams, 26% energy), fructose (58 grams, 11% energy) and added sugars (65 grams, 13% energy) in relation to CVD mortality (P<.05). The certainty of the evidence using GRADE was very low for CVD incidence and low for CVD mortality for all sugar types. CONCLUSION Current evidence supports a threshold of harm for intakes of total sugars, added sugars, and fructose at higher exposures and lack of harm for sucrose independent of food form for CVD mortality. Further research of different food sources of sugars is needed to define better the relationship between sugars and CVD. REGISTRATION: clinicaltrials.gov, NCT01608620.
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Affiliation(s)
- Tauseef A Khan
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Mobushra Tayyiba
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Arnav Agarwal
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Thomas M S Wolever
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada; College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada.
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Wellington N, Shanmuganathan M, de Souza RJ, Zulyniak MA, Azab S, Bloomfield J, Mell A, Ly R, Desai D, Anand SS, Britz-McKibbin P. Metabolic Trajectories Following Contrasting Prudent and Western Diets from Food Provisions: Identifying Robust Biomarkers of Short-Term Changes in Habitual Diet. Nutrients 2019; 11:nu11102407. [PMID: 31600930 PMCID: PMC6835357 DOI: 10.3390/nu11102407] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 09/20/2019] [Accepted: 09/27/2019] [Indexed: 12/17/2022] Open
Abstract
A large body of evidence has linked unhealthy eating patterns with an alarming increase in obesity and chronic disease worldwide. However, existing methods of assessing dietary intake in nutritional epidemiology rely on food frequency questionnaires or dietary records that are prone to bias and selective reporting. Herein, metabolic phenotyping was performed on 42 healthy participants from the Diet and Gene Intervention (DIGEST) pilot study, a parallel two-arm randomized clinical trial that provided complete diets to all participants. Matching single-spot urine and fasting plasma specimens were collected at baseline, and then following two weeks of either a Prudent or Western diet with a weight-maintaining menu plan designed by a dietician. Targeted and nontargeted metabolite profiling was conducted using three complementary analytical platforms, where 80 plasma metabolites and 84 creatinine-normalized urinary metabolites were reliably measured (CV < 30%) in the majority of participants (>75%) after implementing a rigorous data workflow for metabolite authentication with stringent quality control. We classified a panel of metabolites with distinctive trajectories following two weeks of food provisions when using complementary univariate and multivariate statistical models. Unknown metabolites associated with contrasting dietary patterns were identified with high-resolution MS/MS, as well as co-elution after spiking with authentic standards if available. Overall, 3-methylhistidine and proline betaine concentrations increased in both plasma and urine samples after participants were assigned a Prudent diet (q < 0.05) with a corresponding decrease in the Western diet group. Similarly, creatinine-normalized urinary imidazole propionate, hydroxypipecolic acid, dihydroxybenzoic acid, and enterolactone glucuronide, as well as plasma ketoleucine and ketovaline increased with a Prudent diet (p < 0.05) after adjustments for age, sex, and BMI. In contrast, plasma myristic acid, linoelaidic acid, linoleic acid, α-linoleic acid, pentadecanoic acid, alanine, proline, carnitine, and deoxycarnitine, as well as urinary acesulfame K increased among participants following a Western diet. Most metabolites were also correlated (r > ± 0.30, p < 0.05) to changes in the average intake of specific nutrients from self-reported diet records reflecting good adherence to assigned food provisions. Our study revealed robust biomarkers sensitive to short-term changes in habitual diet, which is needed for accurate monitoring of healthy eating patterns in free-living populations, and evidence-based public health policies for chronic disease prevention.
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Affiliation(s)
- Nadine Wellington
- Department of Chemical and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.
| | - Meera Shanmuganathan
- Department of Chemical and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.
| | - Russell J de Souza
- Department of Medicine, McMaster University, Hamilton, ON L8S 4K1, Canada.
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON L8S 4K1, Canada.
- Population Health Research Institute, Hamilton, ON L8L 2X2, Canada.
| | - Michael A Zulyniak
- Department of Medicine, McMaster University, Hamilton, ON L8S 4K1, Canada.
- School of Food Science and Nutrition, University of Leeds, LS2 9JT Leeds, UK.
| | - Sandi Azab
- Department of Chemical and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.
| | - Jonathon Bloomfield
- Department of Chemical and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.
| | - Alicia Mell
- Department of Chemical and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.
| | - Ritchie Ly
- Department of Chemical and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.
| | - Dipika Desai
- Department of Medicine, McMaster University, Hamilton, ON L8S 4K1, Canada.
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, ON L8S 4K1, Canada.
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON L8S 4K1, Canada.
- Population Health Research Institute, Hamilton, ON L8L 2X2, Canada.
| | - Philip Britz-McKibbin
- Department of Chemical and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada.
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Zeraatkar D, Cheung K, Milio K, Zworth M, Gupta A, Bhasin A, Bartoszko JJ, Kiflen M, Morassut RE, Noor ST, Lawson DO, Johnston BC, Bangdiwala SI, de Souza RJ. Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review. Curr Dev Nutr 2019; 3:nzz104. [PMID: 31598577 PMCID: PMC6778415 DOI: 10.1093/cdn/nzz104] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 09/05/2019] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Observational studies provide important information about the effects of exposures that cannot be easily studied in clinical trials, such as nutritional exposures, but are subject to confounding. Investigators adjust for confounders by entering them as covariates in analytic models. OBJECTIVE The aim of this study was to evaluate the reporting and credibility of methods for selection of covariates in nutritional epidemiology studies. METHODS We sampled 150 nutritional epidemiology studies published in 2007/2008 and 2017/2018 from the top 5 high-impact nutrition and medical journals and extracted information on methods for selection of covariates. RESULTS Most studies did not report selecting covariates a priori (94.0%) or criteria for selection of covariates (63.3%). There was general inconsistency in choice of covariates, even among studies investigating similar questions. One-third of studies did not acknowledge potential for residual confounding in their discussion. CONCLUSION Studies often do not report methods for selection of covariates, follow available guidance for selection of covariates, nor discuss potential for residual confounding.
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Affiliation(s)
- Dena Zeraatkar
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Kevin Cheung
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Kirolos Milio
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Max Zworth
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Arnav Gupta
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Arrti Bhasin
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Jessica J Bartoszko
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Michel Kiflen
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Rita E Morassut
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Salmi T Noor
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Daeria O Lawson
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Bradley C Johnston
- Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Shrikant I Bangdiwala
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
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67
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Moossavi S, Sepehri S, Robertson B, Bode L, Goruk S, Field CJ, Lix LM, de Souza RJ, Becker AB, Mandhane PJ, Turvey SE, Subbarao P, Moraes TJ, Lefebvre DL, Sears MR, Khafipour E, Azad MB. Composition and Variation of the Human Milk Microbiota Are Influenced by Maternal and Early-Life Factors. Cell Host Microbe 2019; 25:324-335.e4. [PMID: 30763539 DOI: 10.1016/j.chom.2019.01.011] [Citation(s) in RCA: 278] [Impact Index Per Article: 55.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Revised: 11/02/2018] [Accepted: 01/03/2019] [Indexed: 12/12/2022]
Abstract
Breastmilk contains a complex community of bacteria that may help seed the infant gut microbiota. The composition and determinants of milk microbiota are poorly understood. Among 393 mother-infant dyads from the CHILD cohort, we found that milk microbiota at 3-4 months postpartum was dominated by inversely correlated Proteobacteria and Firmicutes, and exhibited discrete compositional patterns. Milk microbiota composition and diversity were associated with maternal factors (BMI, parity, and mode of delivery), breastfeeding practices, and other milk components in a sex-specific manner. Causal modeling identified mode of breastfeeding as a key determinant of milk microbiota composition. Specifically, providing pumped breastmilk was consistently associated with multiple microbiota parameters including enrichment of potential pathogens and depletion of bifidobacteria. Further, these data support the retrograde inoculation hypothesis, whereby the infant oral cavity impacts the milk microbiota. Collectively, these results identify features and determinants of human milk microbiota composition, with potential implications for infant health and development.
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Affiliation(s)
- Shirin Moossavi
- Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada; Children's Hospital Research Institute of Manitoba, Pediatrics and Child Health, Winnipeg, MB, Canada; Developmental Origins of Chronic Diseases in Children Network (DEVOTION), Winnipeg, MB, Canada; Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shadi Sepehri
- Children's Hospital Research Institute of Manitoba, Pediatrics and Child Health, Winnipeg, MB, Canada
| | - Bianca Robertson
- Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Lars Bode
- Pediatrics, University of California, San Diego, La Jolla, CA, USA; Larsson-Rosenquist Foundation Mother-Milk-Infant Center of Research Excellence, University of California, San Diego, La Jolla, CA, USA
| | - Sue Goruk
- Agricultural Food, and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Catherine J Field
- Agricultural Food, and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Lisa M Lix
- Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Russell J de Souza
- Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada; Nutritional Sciences, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Allan B Becker
- Children's Hospital Research Institute of Manitoba, Pediatrics and Child Health, Winnipeg, MB, Canada; Developmental Origins of Chronic Diseases in Children Network (DEVOTION), Winnipeg, MB, Canada
| | | | - Stuart E Turvey
- Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Padmaja Subbarao
- Division of Respiratory Medicine, Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Physiology, University of Toronto, Toronto, ON, Canada
| | - Theo J Moraes
- Division of Respiratory Medicine, Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | | | | | - Ehsan Khafipour
- Children's Hospital Research Institute of Manitoba, Pediatrics and Child Health, Winnipeg, MB, Canada; Animal Science, University of Manitoba, Winnipeg, MB, Canada
| | - Meghan B Azad
- Children's Hospital Research Institute of Manitoba, Pediatrics and Child Health, Winnipeg, MB, Canada; Developmental Origins of Chronic Diseases in Children Network (DEVOTION), Winnipeg, MB, Canada.
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68
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Affiliation(s)
- Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, ON, Canada
| | - Mahshid Dehghan
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, ON, Canada
| | - Sonia S Anand
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, ON, Canada
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
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69
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Ayoub-Charette S, Liu Q, Khan TA, Au-Yeung F, Blanco Mejia S, de Souza RJ, Wolever TM, Leiter LA, Kendall C, Sievenpiper JL. Important food sources of fructose-containing sugars and incident gout: a systematic review and meta-analysis of prospective cohort studies. BMJ Open 2019; 9:e024171. [PMID: 31061018 PMCID: PMC6502023 DOI: 10.1136/bmjopen-2018-024171] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Sugar-sweetened beverages (SSBs) are associated with hyperuricaemia and gout. Whether other important food sources of fructose-containing sugars share this association is unclear. DESIGN To assess the relation of important food sources of fructose-containing sugars with incident gout and hyperuricaemia, we conducted a systematic review and meta-analysis of prospective cohort studies. METHODS We searched MEDLINE, Embase and the Cochrane Library (through 13 September 2017). We included prospective cohort studies that investigated the relationship between food sources of sugar and incident gout or hyperuricaemia. Two independent reviewers extracted relevant data and assessed the risk of bias. We pooled natural-log transformed risk ratios (RRs) using the generic inverse variance method with random effects model and expressed as RR with 95% confidence intervals (CIs). The overall certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation system. RESULTS We identified three studies (1 54 289 participants, 1761 cases of gout), comparing the highest with the lowest level of exposure for SSBs, fruit juices and fruits. No reports were found reporting incident hyperuricaemia. Fruit juice and SSB intake showed an adverse association (fruit juice: RR=1.77, 95% CI 1.20 to 2.61; SSB: RR=2.08, 95% CI 1.40 to 3.08), when comparing the highest to lowest intake of the most adjusted models. There was no significant association between fruit intake and gout (RR 0.85, 95% CI 0.63 to 1.14). The strongest evidence was for the adverse association with SSB intake (moderate certainty), and the weakest evidence was for the adverse association with fruit juice intake (very low certainty) and lack of association with fruit intake (very low certainty). CONCLUSION There is an adverse association of SSB and fruit juice intake with incident gout, which does not appear to extend to fruit intake. Further research is needed to improve our estimates. TRIAL REGISTRATION NUMBER NCT02702375; Results.
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Affiliation(s)
- Sabrina Ayoub-Charette
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Qi Liu
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Tauseef A Khan
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Fei Au-Yeung
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Toronto, Ontario, Canada
| | - Thomas Ms Wolever
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril Kendall
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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Jenkins DJA, Kendall CWC, Lamarche B, Banach MS, Srichaikul K, Vidgen E, Mitchell S, Parker T, Nishi S, Bashyam B, de Souza RJ, Ireland C, Pichika SC, Beyene J, Sievenpiper JL, Josse RG. Correction to: Nuts as a replacement for carbohydrates in the diabetic diet: a reanalysis of a randomised controlled trial. Diabetologia 2019; 62:549-552. [PMID: 30617725 PMCID: PMC6828365 DOI: 10.1007/s00125-018-4795-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
In contrast to statements made in the above paper, measurements of waist and hip circumference were in fact available.
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Affiliation(s)
- David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada.
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.
- Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada.
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada
| | - Benoît Lamarche
- School of Nutrition, Institute of Nutrition and Functional Foods, Laval University, Quebec City, QC, Canada
| | - Monica S Banach
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Korbua Srichaikul
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Division of Family and Community Medicine, St Michael's Hospital, Toronto, ON, Canada
| | - Edward Vidgen
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Sandy Mitchell
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Tina Parker
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Stephanie Nishi
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Balachandran Bashyam
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Russell J de Souza
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Christopher Ireland
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Sathish C Pichika
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Department of Mathematics and Statistics, University of Windsor, Windsor, ON, Canada
| | - Joseph Beyene
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
| | - Robert G Josse
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
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Shahvazi S, Soltani S, Ahmadi SM, de Souza RJ, Salehi-Abargouei A. The Effect of Vitamin D Supplementation on Prostate Cancer: A Systematic Review and Meta-Analysis of Clinical Trials. Horm Metab Res 2019; 51:11-21. [PMID: 30522147 DOI: 10.1055/a-0774-8809] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Vitamin D has received attention for its potential to disrupt cancer processes. However, its effect in the treatment of prostate cancer is controversial. This study aimed to assess the effect of vitamin D supplementation on patients with prostate cancer. In the present study, PubMed, Scopus, ISI Web of Science, and Google Scholar were searched up to September 2017 for trials that evaluated the effect of vitamin D supplementation on prostate specific antigen (PSA) response, mortality, and its possible side effects in participants with prostate cancer. The DerSimonian and Laird inverse-weighted random-effects model was used to pool the effect estimates. Twenty-two studies (16 before-after and 6 randomized controlled trials) were found and included in the meta-analysis. The analysis of controlled clinical trials revealed that PSA change from baseline [weighted mean difference (WMD)=-1.66 ng/ml, 95% CI: -0.69, 0.36, p=0.543)], PSA response proportion (RP=1.18, 95% CI: 0.97, 1.45, p=0.104) and mortality rate (risk ratio (RR)=1.05, 95% CI: 0.81-1.36; p=0.713) were not significantly different between vitamin D supplementation and placebo groups. Single arm trials revealed that vitamin D supplementation had a modest effect on PSA response proportion: 19% of those enrolled had at least a 50% reduction in PSA by the end of treatment (95% CI: 7% to 31%; p=0.002). Although before-after studies showed that vitamin D increases the PSA response proportion, it does not seem that patients with prostate cancer benefit from high dose vitamin D supplementation and it should not be recommended for the treatment.
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Affiliation(s)
- Simin Shahvazi
- Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
- Department of Nutrition, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sepideh Soltani
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Seyed Mehdi Ahmadi
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, Faculty of Health Sciences, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada
| | - Amin Salehi-Abargouei
- Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
- Department of Nutrition, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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Sanger N, Shahid H, Dennis BB, Hudson J, Marsh D, Sanger S, Worster A, Teed R, Rieb L, Tugwell P, Hutton B, Shea B, Beaton D, Corace K, Rice D, Maxwell L, Samaan MC, de Souza RJ, Thabane L, Samaan Z. Identifying patient-important outcomes in medication-assisted treatment for opioid use disorder patients: a systematic review protocol. BMJ Open 2018; 8:e025059. [PMID: 30518592 PMCID: PMC6286642 DOI: 10.1136/bmjopen-2018-025059] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 10/22/2018] [Accepted: 11/05/2018] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Illicit opioid use has become a national crisis in Canada, with over 65 000 people seeking treatment for opioid use disorder (OUD) in Ontario and British Columbia alone. Medication-assisted treatment (MAT) is a common treatment for OUD. There is substantial variability in treatment outcomes used to evaluate effectiveness of MAT, making it difficult to establish clinically and scientifically relevant treatment effect. Furthermore, patients are often excluded from the process of determining these outcomes. The primary objective of this review is to examine outcomes currently used to measure MAT effectiveness and to identify patient-relevant outcomes to enhance effectiveness of treatment options. This review refers to patient-important outcomes as those outcomes patients consider important to or markers of treatment success. METHODS AND ANALYSIS MEDLINE, EMBASE, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, Web of Science, Cochrane Library, Cochrane Clinical Trials Registry, National Institutes for Health Clinical Trials Registry and WHO International Clinical Trials Registry Platform databases will be searched. We will search databases from inception to the date the search is ran. Studies of interest include those evaluating the effectiveness of MAT for patients with OUD, with or without consultation with patients regarding what they consider to be important as an indicator of treatment success. Results will be analysed using thematic analysis and qualitative analysis where possible. This will result in comprehensive synthesis of all outcomes and measures found related to OUD treatment effectiveness. ETHICS AND DISSEMINATION We are collaborating with Canadian Addiction Treatment Centres which provide MAT to patients with OUD who will participate in disseminating study results. Dissemination strategies will involve sharing study results through workshops, presentations, peer-reviewed publications, study reports, community presentations and resources in primary care settings. PROSPERO REGISTRATION NUMBER CRD42018095553.
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Affiliation(s)
- Nitika Sanger
- Medical Science Gradaute Program, McMaster University, Hamilton, Ontario, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Hamnah Shahid
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
- Arts and Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Brittany B Dennis
- St. George’s Hospital Medical School, University of London, London, UK
- Department of Health Research Methods, Evaluation, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Jackie Hudson
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - David Marsh
- Northern Ontario School of Medicine, Laurentian University, Sudbury, Ontario, Canada
- Canadian Addiction Treatment Centres, McMaster University, Markham, Ontario, Canada
| | - Stephanie Sanger
- Department of Health Sciences: Health Science Library, McMaster University, Hamilton, Ontario, Canada
| | - Andrew Worster
- Department of Health Research Methods, Evaluation, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, Hamilton General Hospital, Hamilton, Ontario, Canada
| | - Rand Teed
- Rand Teed Consulting Services, Craven, Saskatchewan, Canada
| | - Launette Rieb
- Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Peter Tugwell
- Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Ontario, Canada
- Bruyère Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Brian Hutton
- Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Ontario, Canada
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ontario, Canada
| | - Beverley Shea
- Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Ontario, Canada
- Bruyère Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Dorcas Beaton
- Institute for Work and Health, St. Michael’s Hospital, Ottawa, Ontario, Canada
- Departments of Occupational Therapy and Medicine and the Clinical Epidemiology and Health Care Research Program, University of Toronto, Toronto, Ontario, Canada
| | - Kimberly Corace
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada
| | - Danielle Rice
- Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Ontario, Canada
| | - Lara Maxwell
- Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Ontario, Canada
| | - M Constantine Samaan
- Division of Pediatric Endocrinology, McMaster University, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ontario, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ontario, Canada
- Centre for Evaluation of Medicines, Programs for Assessment of Technology in Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Zainab Samaan
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ontario, Canada
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Choo VL, Viguiliouk E, Blanco Mejia S, Cozma AI, Khan TA, Ha V, Wolever TMS, Leiter LA, Vuksan V, Kendall CWC, de Souza RJ, Jenkins DJA, Sievenpiper JL. Food sources of fructose-containing sugars and glycaemic control: systematic review and meta-analysis of controlled intervention studies. BMJ 2018; 363:k4644. [PMID: 30463844 PMCID: PMC6247175 DOI: 10.1136/bmj.k4644] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To assess the effect of different food sources of fructose-containing sugars on glycaemic control at different levels of energy control. DESIGN Systematic review and meta-analysis of controlled intervention studies. DATA SOURCES Medine, Embase, and the Cochrane Library up to 25 April 2018. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Controlled intervention studies of at least seven days' duration and assessing the effect of different food sources of fructose-containing sugars on glycaemic control in people with and without diabetes were included. Four study designs were prespecified on the basis of energy control: substitution studies (sugars in energy matched comparisons with other macronutrients), addition studies (excess energy from sugars added to diets), subtraction studies (energy from sugars subtracted from diets), and ad libitum studies (sugars freely replaced by other macronutrients without control for energy). Outcomes were glycated haemoglobin (HbA1c), fasting blood glucose, and fasting blood glucose insulin. DATA EXTRACTION AND SYNTHESIS Four independent reviewers extracted relevant data and assessed risk of bias. Data were pooled by random effects models and overall certainty of the evidence assessed by the GRADE approach (grading of recommendations assessment, development, and evaluation). RESULTS 155 study comparisons (n=5086) were included. Total fructose-containing sugars had no harmful effect on any outcome in substitution or subtraction studies, with a decrease seen in HbA1c in substitution studies (mean difference -0.22% (95% confidence interval to -0.35% to -0.08%), -25.9 mmol/mol (-27.3 to -24.4)), but a harmful effect was seen on fasting insulin in addition studies (4.68 pmol/L (1.40 to 7.96)) and ad libitum studies (7.24 pmol/L (0.47 to 14.00)). There was interaction by food source, with specific food sources showing beneficial effects (fruit and fruit juice) or harmful effects (sweetened milk and mixed sources) in substitution studies and harmful effects (sugars-sweetened beverages and fruit juice) in addition studies on at least one outcome. Most of the evidence was low quality. CONCLUSIONS Energy control and food source appear to mediate the effect of fructose-containing sugars on glycaemic control. Although most food sources of these sugars (especially fruit) do not have a harmful effect in energy matched substitutions with other macronutrients, several food sources of fructose-containing sugars (especially sugars-sweetened beverages) adding excess energy to diets have harmful effects. However, certainty in these estimates is low, and more high quality randomised controlled trials are needed. STUDY REGISTRATION Clinicaltrials.gov (NCT02716870).
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Affiliation(s)
- Vivian L Choo
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Undergraduate Medical Education, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Effie Viguiliouk
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Sonia Blanco Mejia
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Adrian I Cozma
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Radiation Oncology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Tauseef A Khan
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Vanessa Ha
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Undergraduate Medical Education, School of Medicine, Queen's University, Kingston, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Thomas M S Wolever
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael's Hospital, Toronto, ON, Canada
| | - Lawrence A Leiter
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael's Hospital, Toronto, ON, Canada
| | - Vladimir Vuksan
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael's Hospital, Toronto, ON, Canada
| | - Cyril W C Kendall
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada
| | - Russell J de Souza
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - David J A Jenkins
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael's Hospital, Toronto, ON, Canada
| | - John L Sievenpiper
- Toronto 3D (Diet, Digestive Tract, and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, 61 Queen Street East, Toronto, ON, M5C 2T2, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael's Hospital, Toronto, ON, Canada
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Jenkins DJA, Kendall CWC, Lamarche B, Banach MS, Srichaikul K, Vidgen E, Mitchell S, Parker T, Nishi S, Bashyam B, de Souza RJ, Ireland C, Pichika SC, Beyene J, Sievenpiper JL, Josse RG. Nuts as a replacement for carbohydrates in the diabetic diet: a reanalysis of a randomised controlled trial. Diabetologia 2018; 61:1734-1747. [PMID: 29789878 PMCID: PMC6061153 DOI: 10.1007/s00125-018-4628-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 02/07/2018] [Indexed: 12/17/2022]
Abstract
AIMS/HYPOTHESIS In line with current advice, we assessed the effect of replacing carbohydrate consumption with mixed nut consumption, as a source of unsaturated fat, on cardiovascular risk factors and HbA1c in type 2 diabetes. The data presented here are from a paper that was retracted at the authors' request ( https://doi.org/10.2337/dc16-rt02 ) owing to lack of adjustment for repeated measures in the same individual. Our aim, therefore, was to fix the error and add new complementary data of interest, including information on clotting factors and LDL particle size. METHODS A total of 117 men and postmenopausal women with type 2 diabetes who were taking oral glucose-lowering agents and with HbA1c between 47.5 and 63.9 mmol/mol (6.5-8.0%) were randomised after stratification by sex and baseline HbA1c in a parallel design to one of three diets for 3 months: (1) 'full-dose nut diet' (n = 40): a diet with 2.0 MJ (477 kcal) per 8.4 MJ (2000 kcal) energy provided as mixed nuts (75 g/day); (2) 'full-dose muffin diet' (n = 39): a diet with 1.97 MJ (471 kcal) per 8.4 MJ (2000 kcal) energy provided as three whole-wheat muffins (188 g/day), with a similar protein content to the nuts, and the same carbohydrate-derived energy content as the monounsaturated fatty acid-derived energy content in the nuts; or (3) 'half-dose nut diet' (n = 38): a diet with 1.98 MJ (474 kcal) per 8.4 MJ (2000 kcal) energy provided as half portions of both the nuts and muffins. The primary outcome was change in HbA1c. The study was carried out in a hospital clinical research centre and concluded in 2008. Only the statistician, study physicians and analytical technicians could be blinded to the group assessment. RESULTS A total of 108 participants had post-intervention data available for analysis (full-dose nut group, n = 40; full-dose muffin group, n = 35; half-dose nut group, n = 33). Compared with the full-dose muffin diet, the full-dose nut diet provided 9.2% (95% CI 7.1, 11.3) greater total energy intake from monounsaturated fat. The full-dose nut diet (median intake, 75 g/day) also reduced HbA1c compared with the full-dose muffin diet by -2.0 mmol/mol (95% CI -3.8, -0.3 mmol/mol) (-0.19% [95% CI -0.35%, -0.02%]), (p = 0.026). Estimated cholesterol levels in LDL particles with a diameter <255 ångström [LDL-c<255Å]) and apolipoprotein B were also significantly decreased after the full-dose nut diet compared with the full-dose muffin diet. According to the dose response, the full-dose nut diet is predicted to reduce HbA1c (-2.0 mmol/mol [-0.18%]; p = 0.044), cholesterol (-0.25 mmol/l; p = 0.022), LDL-cholesterol (-0.23 mmol/l; p = 0.019), non-HDL-cholesterol (-0.26 mmol/l; p = 0.020), apolipoprotein B (-0.06 g/l, p = 0.013) and LDL-c<255Å (-0.42 mmol/l; p < 0.001). No serious study-related adverse events occurred, but one participant on the half-dose nut diet was hospitalised for atrial fibrillation after shovelling snow. CONCLUSIONS/INTERPRETATION Nut intake as a replacement for carbohydrate consumption improves glycaemic control and lipid risk factors in individuals with type 2 diabetes. TRIAL REGISTRATION ClinicalTrials.gov NCT00410722 FUNDING: The study was funded by the International Tree Nut Council Nutrition Research and Education Foundation, the Peanut Institute, Loblaw Companies and the Canada Research Chairs Program of the Government of Canada.
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Affiliation(s)
- David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada.
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.
- Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada.
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada
| | - Benoît Lamarche
- School of Nutrition, Institute of Nutrition and Functional Foods, Laval University, Quebec City, QC, Canada
| | - Monica S Banach
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Korbua Srichaikul
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Division of Family and Community Medicine, St Michael's Hospital, Toronto, ON, Canada
| | - Edward Vidgen
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Sandy Mitchell
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Tina Parker
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Stephanie Nishi
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Balachandran Bashyam
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Russell J de Souza
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Christopher Ireland
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Sathish C Pichika
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Department of Mathematics and Statistics, University of Windsor, Windsor, ON, Canada
| | - Joseph Beyene
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
| | - Robert G Josse
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, 5th Floor, Medical Science Building (MSB), 1 Kings College Circle, Toronto, ON, M5S 1A8, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
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Ladhani S, Empringham B, Wang KW, Portwine C, Banfield L, de Souza RJ, Thabane L, Samaan MC. Overweight and obesity management strategies in survivors of paediatric acute lymphoblastic leukaemia: a systematic review protocol. BMJ Open 2018; 8:e022530. [PMID: 29934396 PMCID: PMC6020978 DOI: 10.1136/bmjopen-2018-022530] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
INTRODUCTION Acute lymphoblastic leukaemia is the most common paediatric cancer. Survivors of childhood acute lymphoblastic leukaemia (SALL) are at risk of obesity and related cardiometabolic diseases including type 2 diabetes, hypertension, stroke and cardiovascular events. Therefore, it is important to address obesity in this population as this may help mitigate future cardiometabolic comorbidities. In this systematic review, we aim to assess current treatment strategies including lifestyle interventions, pharmacotherapy and bariatric surgery to manage overweight and obesity in SALL. METHODS AND ANALYSIS We will search the following databases for primary studies: CINAHL, SPORTDiscus, EMBASE, MEDLINE, PsycINFO, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews. In addition, unpublished primary studies will be searched in ClinicalTrials.gov as well as conference proceedings, presentations, abstracts, editorials and ProQuest Dissertations and Theses A&I. Reviewers will perform title, abstract, and full-text screening as well as data abstraction and risk of bias assessment independently with a third reviewer to be consulted to resolve disagreements. Searches will be run and updated through May 1st, 2018. The overall quality of the evidence will be determined using the Grading of Recommendations, Assessment, Development, and Evaluation criteria for each outcome. A meta-analysis will be performed if two studies deploying similar interventions, populations, and design and outcomes are identified. ETHICS AND DISSEMINATION As individual patient data will not be included, we do not require ethics approval. This review will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER CRD42016051031.
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Affiliation(s)
- Salma Ladhani
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Brianna Empringham
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Kuan-Wen Wang
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
- Medical Sciences Graduate Program, McMaster University, Hamilton, Ontario, Canada
| | - Carol Portwine
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Hematology/Oncology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Laura Banfield
- Health Sciences Library, McMaster University, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Medical Sciences Graduate Program, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Medical Sciences Graduate Program, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada
- Centre for Evaluation of Medicines, St. Joseph's Health Care, Hamilton, Ontario, Canada
- Biostatistics Unit, St Joseph's Healthcare, Hamilton, Ontario, Canada
| | - M Constantine Samaan
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
- Medical Sciences Graduate Program, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
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Anand SS, Abonyi S, Arbour L, Brook J, Bruce S, Castleden H, Desai D, de Souza RJ, Harris S, Irvine J, Lai C, Lewis D, Oster RT, Poirier P, Toth EL, Bannon K, Chrisjohn V, Davis AD, L'Hommecourt J, Littlechild R, McMullin K, McIntosh S, Morrison J, Picard M, Landing First Nation P, M. Thomas M, Tusevljak N, Friedrich MG, Tu JV. Canadian Alliance for Healthy Hearts and Minds: First Nations Cohort Study Rationale and Design. ACTA ACUST UNITED AC 2018; 12:55-64. [DOI: 10.1353/cpr.2018.0006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Li SS, Blanco Mejia S, Lytvyn L, Stewart SE, Viguiliouk E, Ha V, de Souza RJ, Leiter LA, Kendall CWC, Jenkins DJA, Sievenpiper JL. Effect of Plant Protein on Blood Lipids: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Am Heart Assoc 2017; 6:JAHA.117.006659. [PMID: 29263032 PMCID: PMC5779002 DOI: 10.1161/jaha.117.006659] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background There is a heightened interest in plant‐based diets for cardiovascular disease prevention. Although plant protein is thought to mediate such prevention through modifying blood lipids, the effect of plant protein in specific substitution for animal protein on blood lipids remains unclear. To assess the effect of this substitution on established lipid targets for cardiovascular risk reduction, we conducted a systematic review and meta‐analysis of randomized controlled trials using the Grading of Recommendations Assessment, Development, and Evaluation system. Methods and Results MEDLINE, EMBASE, and the Cochrane Registry were searched through September 9, 2017. We included randomized controlled trials of ≥3 weeks comparing the effect of plant protein in substitution for animal protein on low‐density lipoprotein cholesterol, non–high‐density lipoprotein cholesterol, and apolipoprotein B. Two independent reviewers extracted relevant data and assessed risk of bias. Data were pooled by the generic inverse variance method and expressed as mean differences with 95% confidence intervals. Heterogeneity was assessed (Cochran Q statistic) and quantified (I2 statistic). The overall quality (certainty) of the evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation system. One‐hundred twelve randomized controlled trials met the eligibility criteria. Plant protein in substitution for animal protein decreased low‐density lipoprotein cholesterol by 0.16 mmol/L (95% confidence interval, −0.20 to −0.12 mmol/L; P<0.00001; I2=55%; moderate‐quality evidence), non–high‐density lipoprotein cholesterol by 0.18 mmol/L (95% confidence interval, −0.22 to −0.14 mmol/L; P<0.00001; I2=52%; moderate‐quality evidence), and apolipoprotein B by 0.05 g/L (95% confidence interval, −0.06 to −0.03 g/L; P<0.00001; I2=30%; moderate‐quality evidence). Conclusions Substitution of plant protein for animal protein decreases the established lipid targets low‐density lipoprotein cholesterol, non–high‐density lipoprotein cholesterol, and apolipoprotein B. More high‐quality randomized trials are needed to improve our estimates. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT02037321.
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Affiliation(s)
- Siying S Li
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- School of Medicine, Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Sonia Blanco Mejia
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Lyubov Lytvyn
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Departments of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Sarah E Stewart
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Effie Viguiliouk
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Vanessa Ha
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Departments of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Departments of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Lawrence A Leiter
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Cyril W C Kendall
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Ontario, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David J A Jenkins
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Ontario, Canada
| | - John L Sievenpiper
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Ontario, Canada
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Zulyniak MA, de Souza RJ, Shaikh M, Desai D, Lefebvre DL, Gupta M, Wilson J, Wahi G, Subbarao P, Becker AB, Mandhane P, Turvey SE, Beyene J, Atkinson S, Morrison KM, McDonald S, Teo KK, Sears MR, Anand SS. Does the impact of a plant-based diet during pregnancy on birth weight differ by ethnicity? A dietary pattern analysis from a prospective Canadian birth cohort alliance. BMJ Open 2017; 7:e017753. [PMID: 29138203 PMCID: PMC5695448 DOI: 10.1136/bmjopen-2017-017753] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE Birth weight is an indicator of newborn health and a strong predictor of health outcomes in later life. Significant variation in diet during pregnancy between ethnic groups in high-income countries provides an ideal opportunity to investigate the influence of maternal diet on birth weight. SETTING Four multiethnic birth cohorts based in Canada (the NutriGen Alliance). PARTICIPANTS 3997 full-term mother-infant pairs of diverse ethnic groups who had principal component analysis-derived diet pattern scores-plant-based, Western and health-conscious-and birth weight data. RESULTS No associations were identified between the Western and health-conscious diet patterns and birth weight; however, the plant-based dietary pattern was inversely associated with birth weight (β=-67.6 g per 1-unit increase; P<0.001), and an interaction with non-white ethnicity and birth weight was observed. Ethnically stratified analyses demonstrated that among white Europeans, maternal consumption of a plant-based diet associated with lower birth weight (β=-65.9 g per 1-unit increase; P<0.001), increased risk of small-for-gestational age (SGA; OR=1.46; 95% CI 1.08 to 1.54;P=0.005) and reduced risk of large-for-gestational age (LGA; OR=0.71; 95% CI 0.53 to 0.95;P=0.02). Among South Asians, maternal consumption of a plant-based diet associated with a higher birth weight (β=+40.5 g per 1-unit increase; P=0.01), partially explained by cooked vegetable consumption. CONCLUSIONS Maternal consumption of a plant-based diet during pregnancy is associated with birth weight. Among white Europeans, a plant-based diet is associated with lower birth weight, reduced odds of an infant born LGA and increased odds of SGA, whereas among South Asians living in Canada, a plant-based diet is associated with increased birth weight.
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Affiliation(s)
- Michael A Zulyniak
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Mateen Shaikh
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Dipika Desai
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Diana L Lefebvre
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Milan Gupta
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Canadian Cardiovascular Research Network, Brampton, Ontario, Canada
| | - Julie Wilson
- Six Nations Health Services, Ohsweken, Ontario, Canada
| | - Gita Wahi
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Paediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Padmaja Subbarao
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Allan B Becker
- Department of Immunology, Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Piush Mandhane
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Stuart E Turvey
- Department of Paediatrics, Faculty of Medicine, University of British Columbia, BC Children's Hospital, Vancouver, British Columbia, Canada
| | - Joseph Beyene
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Stephanie Atkinson
- Department of Paediatrics, McMaster University, Hamilton, Ontario, Canada
| | | | - Sarah McDonald
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Koon K Teo
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Malcolm R Sears
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
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Ha V, Bonner AJ, Jadoo JK, Beyene J, Anand SS, de Souza RJ. The effects of various diets on glycemic outcomes during pregnancy: A systematic review and network meta-analysis. PLoS One 2017; 12:e0182095. [PMID: 28771519 PMCID: PMC5542432 DOI: 10.1371/journal.pone.0182095] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 07/12/2017] [Indexed: 12/16/2022] Open
Abstract
Aims Evidence to support dietary modifications to improve glycemia during pregnancy is limited, and the benefits of diet beyond limiting gestational weight gain is unclear. Therefore, a systematic review and network meta-analysis of randomized trials was conducted to compare the effects of various common diets, stratified by the addition of gestational weight gain advice, on fasting glucose and insulin, hemoglobin A1c (HbA1c), and homeostatic model assessment for insulin resistance (HOMA-IR) in pregnant women. Methods MEDLINE, EMBASE, Cochrane database, and reference lists of published studies were searched through April 2017. Randomized trials directly comparing two or more diets for ≥2-weeks were eligible. Bayesian network meta-analysis was performed for fasting glucose. Owing to a lack of similar dietary comparisons, a standard pairwise meta-analysis for the other glycemic outcomes was performed. The certainty of the pooled effect estimates was assessed using the GRADE tool. Results Twenty-one trials (1,865 participants) were included. In general, when given alongside gestational weight gain advice, fasting glucose improved in most diets compared to diets that gave gestational weight gain advice only. However, fasting glucose increased in high unsaturated or monounsaturated fatty acids diets. In the absence of gestational weight gain advice, fasting glucose improved in DASH-style diets compared to standard of care. Although most were non-significant, similar trends were observed for these same diets for the other glycemic outcomes. Dietary comparisons ranged from moderate to very low in quality of evidence. Conclusion/Interpretation Alongside with gestational weight gain advice, most diets, with the exception of a high unsaturated or a high monounsaturated fatty acid diet, demonstrated a fasting glucose improvement compared with gestational weight gain advice only. When gestational weight gain advice was not given, the DASH-style diet appeared optimal on fasting glucose. However, a small number of trials were identified and most dietary comparisons were underpowered to detect differences in glycemic outcomes. Further studies that are high in quality and adequately powered are needed to confirm these findings. Registration PROSPERO CRD42015026008
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Affiliation(s)
- Vanessa Ha
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Genomics Program, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
| | - Ashley J. Bonner
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Genomics Program, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
| | - Jaynendr K. Jadoo
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Joseph Beyene
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Genomics Program, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
- The Dalla Lana School of Public Health, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Sonia S. Anand
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Genomics Program, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
- General Hospital Campus, Hamilton, Ontario, Canada
| | - Russell J. de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Genomics Program, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada
- * E-mail:
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Jenkins DJA, Boucher BA, Ashbury FD, Sloan M, Brown P, El-Sohemy A, Hanley AJ, Willett W, Paquette M, de Souza RJ, Ireland C, Kwan N, Jenkins A, Pichika SC, Kreiger N. Effect of Current Dietary Recommendations on Weight Loss and Cardiovascular Risk Factors. J Am Coll Cardiol 2017; 69:1103-1112. [PMID: 28254171 DOI: 10.1016/j.jacc.2016.10.089] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Revised: 09/17/2016] [Accepted: 10/18/2016] [Indexed: 01/15/2023]
Abstract
BACKGROUND Dietary recommendations emphasize increased consumption of fruit, vegetables, and whole grain cereals for prevention of chronic disease. OBJECTIVES This study assessed the effect of dietary advice and/or food provision on body weight and cardiovascular disease risk factors. METHODS Healthy overweight men (n = 209) and women (n = 710), mean age 44.7 years, body mass index [BMI] 32.4 kg/m2, were randomized between November 2005 and August 2009 to receive Health Canada's food guide (control, n = 486) or 1 of 3 interventions: dietary advice consistent with both Dietary Approaches to Stop Hypertension (DASH) and dietary portfolio principles (n = 145); weekly food provision reflecting this advice (n = 148); or food delivery plus advice (n = 140). Interventions lasted 6 months with 12-month follow-up. Semiquantitative food frequency questionnaires and fasting blood, anthropometric and blood pressure measurements were obtained at baseline, 6 months, and 18 months. RESULTS Participant retention at 6 and 18 months was 91% and 81%, respectively, after food provision compared to 67% and 57% when no food was provided (p < 0.0001). Test and control treatments showed small reductions in body weight (-0.8 to -1.2 kg), waist circumference (-1.1 to -1.9 cm), and mean arterial pressure (0.0 to -1.1 mm Hg) at 6 months and Framingham coronary heart disease risk score at 18 months (-0.19 to -0.42%), which were significant overall. Outcomes did not differ among test and control groups. CONCLUSIONS Provision of foods increased retention but only modestly increased intake of recommended foods. Current dietary recommendations showed small overall benefits in coronary heart disease risk factors. Additional dietary strategies to maximize these benefits are required. (Fruits, Vegetables, and Whole Grains: A Community-based Intervention; NCT00516620).
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Affiliation(s)
- David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada; Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada.
| | - Beatrice A Boucher
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Fredrick D Ashbury
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Division of Preventive Oncology, University of Calgary, Calgary, Alberta, Canada; Department of Psychology, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Margaret Sloan
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Patrick Brown
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Ahmed El-Sohemy
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anthony J Hanley
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Walter Willett
- Nutrition Department, Harvard School of Public Health, Harvard University, Boston, Massachusetts
| | - Melanie Paquette
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Ontario, Canada
| | - Christopher Ireland
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Natalie Kwan
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Amy Jenkins
- Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Food Science, University of Guelph, Guelph, Ontario, Canada
| | - Sathish C Pichika
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Nancy Kreiger
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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Tsilas CS, de Souza RJ, Mejia SB, Mirrahimi A, Cozma AI, Jayalath VH, Ha V, Tawfik R, Di Buono M, Jenkins AL, Leiter LA, Wolever TMS, Beyene J, Khan T, Kendall CWC, Jenkins DJA, Sievenpiper JL. Relation of total sugars, fructose and sucrose with incident type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies. CMAJ 2017; 189:E711-E720. [PMID: 28536126 DOI: 10.1503/cmaj.160706] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2017] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Sugar-sweetened beverages are associated with type 2 diabetes. To assess whether this association holds for the fructose-containing sugars they contain, we conducted a systematic review and meta-analysis of prospective cohort studies. METHODS We searched MEDLINE, Embase, CINAHL and the Cochrane Library (through June 2016). We included prospective cohort studies that assessed the relation of fructose-containing sugars with incident type 2 diabetes. Two independent reviewers extracted relevant data and assessed risk of bias. We pooled risk ratios (RRs) using random effects meta-analyses. The overall quality of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. RESULTS Fiffeen prospective cohort studies (251 261 unique participants, 16 416 cases) met the eligibility criteria, comparing the highest intake (median 137, 35.2 and 78 g/d) with the lowest intake (median 65, 9.7 and 25.8 g/d) of total sugars, fructose and sucrose, respectively. Although there was no association of total sugars (RR 0.91, 95% confidence interval [CI] 0.76-1.09) or fructose (RR 1.04, 95% CI 0.84-1.29) with type 2 diabetes, sucrose was associated with a decreased risk of type 2 diabetes (RR 0.89, 95% CI 0.80-0.98). Our confidence in the estimates was limited by evidence of serious inconsistency between studies for total sugars and fructose, and serious imprecision in the pooled estimates for all 3 sugar categories. INTERPRETATION Current evidence does not allow us to conclude that fructose-containing sugars independent of food form are associated with increased risk of type 2 diabetes. Further research is likely to affect our estimates. TRIAL REGISTRATION ClinicalTrials.gov, no. NCT01608620.
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Affiliation(s)
- Christine S Tsilas
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Sonia Blanco Mejia
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Arash Mirrahimi
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Adrian I Cozma
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Viranda H Jayalath
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Vanessa Ha
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Reem Tawfik
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Marco Di Buono
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Alexandra L Jenkins
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Lawrence A Leiter
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Thomas M S Wolever
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Joseph Beyene
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Tauseef Khan
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - Cyril W C Kendall
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - David J A Jenkins
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask
| | - John L Sievenpiper
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queen's University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Sievenpiper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Psychology (Tawfik), Faculty of Arts, University of Waterloo, Waterloo, Ont.; American Heart Association (Di Buono), Dallas, Tex.; Division of Endocrinology and Metabolism (Leiter, Wolever, D. Jenkins, Sievenpiper); Li Ka Shing Knowledge Institute (Leiter, Wolever, D. Jenkins, Sievenpiper), St. Michael's Hospital, Toronto, Ont.; Dalla Lana School of Public Health (Beyene), Faculty of Medicine, University of Toronto, Toronto, Ont.; College of Pharmacy and Nutrition (Kendall), University of Saskatchewan, Saskatoon, Sask.
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Jovanovski E, Li D, Thanh Ho HV, Djedovic V, Ruiz Marques ADC, Shishtar E, Mejia SB, Sievenpiper JL, de Souza RJ, Duvnjak L, Vuksan V. The effect of alpha-linolenic acid on glycemic control in individuals with type 2 diabetes: A systematic review and meta-analysis of randomized controlled clinical trials. Medicine (Baltimore) 2017; 96:e6531. [PMID: 28538363 PMCID: PMC5457843 DOI: 10.1097/md.0000000000006531] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Polyunsaturated fats (PUFAs) have been shown to reduce type 2 diabetes (T2DM) risk and improve insulin responsiveness in T2DM subjects, but whether the plant sources of omega-3 PUFA (alpha-linolenic acid [ALA]) have an effect on glycemic control requires further investigation. METHODS The parameters of interest were glycated hemoglobin (HbA1c), fasting blood glucose (FBG), fasting blood insulin (FBI), homeostatic model assessment for insulin resistance (HOMA-IR), fructosamine, and glycated albumin. A comprehensive search was conducted with MEDLINE, Embase, CINAHL, and Cochrane. Eligible studies included randomized controlled trials (RCTs) ≥1 month in duration that compared diets enriched in ALA with usual diets on glycemic parameters. For each study, the risk of bias as well as the study quality was assessed. Using the statistical software RevMan (v5.3), data were pooled using the generic inverse method with random effects model, and final results were expressed as mean differences (MD) with 95% confidence intervals (CI). Heterogeneity was assessed by the Cochran Q statistic and quantified by the I statistic. RESULTS A total of 8 trials (N = 212) were included in the meta-analysis. Compared to a control diet, a median dose of 4.4 g/day of ALA intake for a median duration of 3 months did not affect HbA1c (%) (MD = -.01; [95%: -.32, .31], P = .96). A median ALA dose of 5.4 g/day did not lower FBG (MD = .07; [95% CI: -.61, .76], P = .84) or FBI (MD = 7.03, [95% CI: -5.84, 19.89], P = .28). Summary effect estimates were generally compromised by considerable and unexplained heterogeneity (I ≥75%). In the subgroup analysis of continuous predictors, a reduction in HbA1c (%) and FBG (mmol/L) was significantly associated with an increased intake of ALA. Further adjustment for Publication Bias using Duval and Tweedie's trim-and-fill analysis provided an adjusted, significant MD of -.25 (95% CI: -.38, -.12; P <.001) for HbA1c (%). CONCLUSIONS ALA-enriched diets did not affect HbA1c, FBG, or FBI. The scarce number of existing RCTs and the presence of heterogeneity in our meta-analysis limit the ability to make firm conclusions about ALA in T2DM management. The potential for ALA to have dose-dependent effects warrants further research in this area.
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Affiliation(s)
- Elena Jovanovski
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Dandan Li
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Hoang Vi Thanh Ho
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Vladimir Djedovic
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Any de Castro Ruiz Marques
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Brazil Department of Pharmacology and Therapeutic, State University of Maringa, Maringa, Brazil
| | - Esra Shishtar
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Sonia Blanco Mejia
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit
| | - John L. Sievenpiper
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit
- Li Ka Shing Knowledge Institute
- Division of Endocrinology & Medicine, St. Michael's Hospital, Toronto
| | - Russell J. de Souza
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Lea Duvnjak
- Clinic for Diabetes, Endocrinology and Metabolic Diseases Vuk Vrhovac, University Hospital Merkur, University of Zagreb, School of Medicine, Zagreb, Croatia
| | - Vladimir Vuksan
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute
- Division of Endocrinology & Medicine, St. Michael's Hospital, Toronto
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83
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Stearns JC, Zulyniak MA, de Souza RJ, Campbell NC, Fontes M, Shaikh M, Sears MR, Becker AB, Mandhane PJ, Subbarao P, Turvey SE, Gupta M, Beyene J, Surette MG, Anand SS. Ethnic and diet-related differences in the healthy infant microbiome. Genome Med 2017; 9:32. [PMID: 28356137 PMCID: PMC5372248 DOI: 10.1186/s13073-017-0421-5] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Accepted: 03/04/2017] [Indexed: 12/12/2022] Open
Abstract
Background The infant gut is rapidly colonized by microorganisms soon after birth, and the composition of the microbiota is dynamic in the first year of life. Although a stable microbiome may not be established until 1 to 3 years after birth, the infant gut microbiota appears to be an important predictor of health outcomes in later life. Methods We obtained stool at one year of age from 173 white Caucasian and 182 South Asian infants from two Canadian birth cohorts to gain insight into how maternal and early infancy exposures influence the development of the gut microbiota. We investigated whether the infant gut microbiota differed by ethnicity (referring to groups of people who have certain racial, cultural, religious, or other traits in common) and by breastfeeding status, while accounting for variations in maternal and infant exposures (such as maternal antibiotic use, gestational diabetes, vegetarianism, infant milk diet, time of introduction of solid food, infant birth weight, and weight gain in the first year). Results We demonstrate that ethnicity and infant feeding practices independently influence the infant gut microbiome at 1 year, and that ethnic differences can be mapped to alpha diversity as well as a higher abundance of lactic acid bacteria in South Asians and a higher abundance of genera within the order Clostridiales in white Caucasians. Conclusions The infant gut microbiome is influenced by ethnicity and breastfeeding in the first year of life. Ethnic differences in the gut microbiome may reflect maternal/infant dietary differences and whether these differences are associated with future cardiometabolic outcomes can only be determined after prospective follow-up. Electronic supplementary material The online version of this article (doi:10.1186/s13073-017-0421-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jennifer C Stearns
- Department of Medicine, McMaster University, Hamilton, ON, Canada. .,Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON, Canada.
| | | | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | | | - Michelle Fontes
- Department of Medicine, McMaster University, Hamilton, ON, Canada.,Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Mateen Shaikh
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Malcolm R Sears
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Allan B Becker
- Department of Immunology, Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Piushkumar J Mandhane
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Padmaja Subbarao
- Hospital for Sick Children & Department of Paediatrics, University of Toronto, Toronto, ON, Canada
| | - Stuart E Turvey
- BC Children's Hospital and Child and Family Research Institute, Department of Paediatrics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Milan Gupta
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Joseph Beyene
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Michael G Surette
- Department of Medicine, McMaster University, Hamilton, ON, Canada.,Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, ON, Canada.,Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
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84
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Wang KW, Souza RJD, Fleming A, Singh SK, Johnston DL, Zelcer SM, Rassekh SR, Burrow S, Scheinemann K, Thabane L, Samaan MC. Adiposity in childhood brain tumors: A report from the Canadian Study of Determinants of Endometabolic Health in Children (CanDECIDE Study). Sci Rep 2017; 7:45078. [PMID: 28327649 PMCID: PMC5361156 DOI: 10.1038/srep45078] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Accepted: 02/20/2017] [Indexed: 01/07/2023] Open
Abstract
Children with brain tumors (CBT) are at high risk of cardiovascular diseases and type 2 diabetes compared to the general population. Recently, adiposity has been reported to be more informative for cardiometabolic risk stratification than body mass index (BMI) in the general population. The goal of this study is to describe the adiposity phenotype in CBT, and to establish adiposity determinants. We recruited CBT (n = 56) and non-cancer controls (n = 106). Percent body fat (%FM), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were measured to determine total and central adiposity, respectively. Regression analyses were used to evaluate adiposity determinants. CBT had higher total and central adiposity compared to non-cancer controls despite having similar BMI measurements. Those with tumors at the supratentorial region had increased total and central adiposity, while those who received radiotherapy had increased total adiposity. In conclusion, CBT have increased total and central adiposity in the presence of similar BMI levels when compared to non-cancer controls. Adiposity, especially central adiposity, is a potential cardiometabolic risk factor present relatively early in life in CBT. Defining interventions to target adiposity may improve long-term outcomes by preventing cardiometabolic disorders in CBT.
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Affiliation(s)
- Kuan-Wen Wang
- Medical Sciences Program, McMaster University, Hamilton, Ontario, Canada.,Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.,Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Medical Sciences Program, McMaster University, Hamilton, Ontario, Canada.,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Adam Fleming
- Medical Sciences Program, McMaster University, Hamilton, Ontario, Canada.,Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.,Division of Pediatric Hematology/Oncology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Sheila K Singh
- Division of Neurosurgery, Department of Surgery, McMaster Children's Hospital, Hamilton, Ontario, Canada.,McMaster Stem Cell and Cancer Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Donna L Johnston
- Division of Pediatric Hematology/Oncology, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Shayna M Zelcer
- Pediatric Hematology Oncology, London Health Sciences Center, London, Ontario, Canada
| | - Shahrad Rod Rassekh
- Division of Pediatric Hematology/Oncology/BMT, Department of Pediatrics, British Columbia Children's Hospital, Vancouver, BC, Canada
| | - Sarah Burrow
- Division of Orthopedic Surgery, Department of Surgery, McMaster University Medical Centre, Hamilton, Ontario, Canada
| | - Katrin Scheinemann
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.,Division of Hematology/Oncology, University Children's Hospital, Basel, Switzerland
| | - Lehana Thabane
- Medical Sciences Program, McMaster University, Hamilton, Ontario, Canada.,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.,Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada.,Centre for Evaluation of Medicines, St. Joseph's Health Care, Hamilton, ON, Canada.,Biostatistics Unit, St. Joseph's Healthcare-Hamilton, Ontario, Canada
| | - M Constantine Samaan
- Medical Sciences Program, McMaster University, Hamilton, Ontario, Canada.,Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.,Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada.,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
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85
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Chiavaroli L, Mirrahimi A, Ireland C, Mitchell S, Sahye-Pudaruth S, Coveney J, Olowoyeye O, Patel D, de Souza RJ, Augustin LSA, Bashyam B, Pichika SC, Blanco Mejia S, Nishi SK, Leiter LA, Josse RG, McKeown-Eyssen GE, Moody AR, Kendall CWC, Sievenpiper JL, Jenkins DJA. Cross-sectional associations between dietary intake and carotid intima media thickness in type 2 diabetes: baseline data from a randomised trial. BMJ Open 2017; 7:e015026. [PMID: 28336747 PMCID: PMC5372138 DOI: 10.1136/bmjopen-2016-015026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To assess associations between dietary intake and carotid intima media thickness (CIMT) by carotid ultrasound (CUS), a surrogate marker of cardiovascular disease (CVD) risk, in those with type 2 diabetes. DESIGN Cross-sectional analysis of baseline data from 325 participants from three randomised controlled trials collected in the same way. SETTING Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada. PARTICIPANTS 325 participants with type 2 diabetes, taking oral antidiabetic agents, with an HbA1c between 6.5% and 8.0% at screening, without a recent cardiovascular event. MAIN OUTCOME MEASURES CIMT by CUS and associations with dietary intake from 7-day food records, as well as anthropometric measures and fasting serum samples. RESULTS CIMT was significantly inversely associated with dietary pulse intake (β=-0.019, p=0.009), available carbohydrate (β=-0.004, p=0.008), glycaemic load (β=-0.001, p=0.007) and starch (β=-0.126, p=0.010), and directly associated with total (β=0.004, p=0.028) and saturated (β=0.012, p=0.006) fat intake in multivariate regression models adjusted for age, smoking, previous CVD event, blood pressure medication, antidiabetic medication and ultrasonographer. CONCLUSIONS Lower CIMT was significantly associated with greater consumption of dietary pulses and carbohydrates and lower total and saturated fat intake, suggesting a potential role for diet in CVD risk management in type 2 diabetes. Randomised controlled trials are anticipated to explore these associations further. TRIAL REGISTRATION NUMBER NCT01063374.
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Affiliation(s)
- Laura Chiavaroli
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Arash Mirrahimi
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Faculty of Health Sciences, School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Christopher Ireland
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sandra Mitchell
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sandhya Sahye-Pudaruth
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Judy Coveney
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Omodele Olowoyeye
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Darshna Patel
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Health Research Methods, Evidence & Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Livia S A Augustin
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- National Cancer Institute ‘Fondazione G. Pascale’, Naples, Italy
| | - Balachandran Bashyam
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sathish Chandra Pichika
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Stephanie K Nishi
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Robert G Josse
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Gail E McKeown-Eyssen
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Alan R Moody
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
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86
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Wang KW, Fleming A, Singh SK, Banfield L, de Souza RJ, Thabane L, Samaan MC. Evaluating overweight and obesity prevalence in survivors of childhood brain tumors: a systematic review protocol. Syst Rev 2017; 6:43. [PMID: 28253910 PMCID: PMC5335753 DOI: 10.1186/s13643-017-0439-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 02/20/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Overweight and obesity are well-known risk factors for cardiometabolic diseases including hypertension, myocardial infarction, stroke, and type 2 diabetes in the general population. Survivors of childhood brain tumors (SCBT) are at risk of premature mortality, and recent evidence suggests that these cardiometabolic diseases are potential emerging determinants of survival and quality of life. Therefore, the rates of overweight and obesity in this population need to be examined to assess their impact on outcomes. The objective of this systematic review is to examine the prevalence of overweight and obesity in SCBT. The secondary aim of this review is to evaluate whether SCBT have higher adiposity compared to the general population. METHODS Searches will be conducted in MEDLINE, CINAHL, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, PubMed, and Database of Abstracts of Reviews of Effect. For gray literature, we will search ProQuest Dissertations and Theses A&I and Web of Science. Two reviewers will independently screen all articles against predetermined eligibility criteria and complete data abstraction, risk of bias, and quality assessments. The primary outcome includes the prevalence of overweight or obesity. The secondary outcomes involve waist-to-hip ratio, waist-to-height ratio, body fat percentage, and skinfold thickness. Meta-analysis will be performed when two or more studies with similar design, populations, and outcomes are available. DISCUSSION This review will summarize current data on the prevalence of overweight and obesity in SCBT. This will help the development of an understanding of the scale of overweight and obesity in this population and guide the design of interventions that will improve outcomes. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42016051035.
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Affiliation(s)
- Kuan-Wen Wang
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada.,Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada.,Medical Sciences Graduate Program, McMaster University, Hamilton, Ontario, Canada
| | - Adam Fleming
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada.,Division of Pediatric Hematology/Oncology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Sheila K Singh
- Division of Neurosurgery, Department of Surgery, McMaster Children's Hospital, Hamilton, Ontario, Canada.,McMaster Stem Cell and Cancer Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Laura Banfield
- Health Sciences Library, McMaster University, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.,Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada.,Centre for Evaluation of Medicines, St. Joseph's Health Care, Hamilton, Ontario, Canada.,Biostatistics Unit, St Joseph's Healthcare, Hamilton, Ontario, Canada
| | - M Constantine Samaan
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada. .,Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, Ontario, Canada. .,Medical Sciences Graduate Program, McMaster University, Hamilton, Ontario, Canada. .,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
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87
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Zulyniak MA, de Souza RJ, Mente A, Kandasamy S, Nundy M, Desai D, Raman K, Hasso R, Pare G, Beyene J, Anand SS. A randomized controlled trial of the effects of a prudent diet on cardiovascular risk factors, gene expression, and DNA methylation - the Diet and Genetic Intervention (DIGEST) Pilot study. BMC Nutr 2016. [DOI: 10.1186/s40795-016-0074-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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88
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Affiliation(s)
- Russell J de Souza
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ONL8S 4K1, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
| | - Sonia S Anand
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ONL8S 4K1, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
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89
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de Souza RJ, Zulyniak MA, Desai D, Shaikh MR, Campbell NC, Lefebvre DL, Gupta M, Wilson J, Wahi G, Atkinson SA, Teo KK, Subbarao P, Becker AB, Mandhane PJ, Turvey SE, Sears MR, Anand SS. Harmonization of Food-Frequency Questionnaires and Dietary Pattern Analysis in 4 Ethnically Diverse Birth Cohorts. J Nutr 2016; 146:2343-2350. [PMID: 27708121 DOI: 10.3945/jn.116.236729] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 09/09/2016] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Canada is an ethnically diverse nation, which introduces challenges for health care providers tasked with providing evidence-based dietary advice. OBJECTIVES We aimed to harmonize food-frequency questionnaires (FFQs) across 4 birth cohorts of ethnically diverse pregnant women to derive robust dietary patterns to investigate maternal and newborn outcomes. METHODS The NutriGen Alliance comprises 4 prospective birth cohorts and includes 4880 Canadian mother-infant pairs of predominantly white European [CHILD (Canadian Healthy Infant Longitudinal Development) and FAMILY (Family Atherosclerosis Monitoring In earLY life)], South Asian [START (SouTh Asian birth cohoRT)-Canada], or Aboriginal [ABC (Aboriginal Birth Cohort)] origins. CHILD used a multiethnic FFQ based on a previously validated instrument designed by the Fred Hutchinson Cancer Research Center, whereas FAMILY, START, and ABC used questionnaires specifically designed for use in white European, South Asian, and Aboriginal people, respectively. The serving sizes and consumption frequencies of individual food items within the 4 FFQs were harmonized and aggregated into 36 common food groups. Principal components analysis was used to identify dietary patterns that were internally validated against self-reported vegetarian status and externally validated against a modified Alternative Healthy Eating Index (mAHEI). RESULTS Three maternal dietary patterns were identified-"plant-based," "Western," and "health-conscious"-which collectively explained 29% of the total variability in eating habits observed in the NutriGen Alliance. These patterns were strongly associated with self-reported vegetarian status (OR: 3.85; 95% CI: 3.47, 4.29; r2 = 0.30, P < 0.001; for a plant-based diet), and average adherence to the plant-based diet was higher in participants in the fourth quartile of the mAHEI than in the first quartile (mean difference: 46.1%; r2 = 0.81, P < 0.001). CONCLUSION Dietary data collected by using FFQs from ethnically diverse pregnant women can be harmonized to identify common dietary patterns to investigate associations between maternal dietary intake and health outcomes.
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Affiliation(s)
- Russell J de Souza
- Departments of Clinical Epidemiology and Biostatistics, .,Department of Nutritional Sciences and.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | | | - Dipika Desai
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | | | | | | | - Milan Gupta
- Medicine, and.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Julie Wilson
- Six Nations Health Services, Ohsweken, Ontario, Canada
| | - Gita Wahi
- Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | | | | | - Padmaja Subbarao
- Hospital for Sick Children and Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Allan B Becker
- Department of Pediatrics and Child Health, Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Piushkumar J Mandhane
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada; and
| | - Stuart E Turvey
- British Columbia Children's Hospital and Child and Family Research Institute, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Sonia S Anand
- Departments of Clinical Epidemiology and Biostatistics.,Medicine, and.,Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
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90
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Affiliation(s)
- Meghan B Azad
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada2Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Russell J de Souza
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada4Department of Nutritional Sciences, University of Toronto and Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Atul K Sharma
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada2Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada5George and Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, Manitoba, Canada
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91
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Jamnik J, Rehman S, Blanco Mejia S, de Souza RJ, Khan TA, Leiter LA, Wolever TMS, Kendall CWC, Jenkins DJA, Sievenpiper JL. Fructose intake and risk of gout and hyperuricemia: a systematic review and meta-analysis of prospective cohort studies. BMJ Open 2016; 6:e013191. [PMID: 27697882 PMCID: PMC5073537 DOI: 10.1136/bmjopen-2016-013191] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The prevalence of hyperuricemia and gout has increased in recent decades. The role of dietary fructose in the development of these conditions remains unclear. OBJECTIVE To conduct a systematic review and meta-analysis of prospective cohort studies investigating the association fructose consumption with incident gout and hyperuricemia. DESIGN MEDLINE, EMBASE and the Cochrane Library were searched (through September 2015). We included prospective cohort studies that assessed fructose consumption and incident gout or hyperuricemia. 2 independent reviewers extracted relevant data and assessed study quality using the Newcastle-Ottawa Scale. We pooled natural-log transformed risk ratios (RRs) using the generic inverse variance method. Interstudy heterogeneity was assessed (Cochran Q statistic) and quantified (I2 statistic). The overall quality of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS 2 studies involving 125 299 participants and 1533 cases of incident gout assessed the association between fructose consumption and incident gout over an average of 17 years of follow-up. No eligible studies assessed incident hyperuricemia as an outcome. Fructose consumption was associated with an increase in the risk of gout (RR=1.62, 95% CI 1.28 to 2.03, p<0.0001) with no evidence of interstudy heterogeneity (I2=0%, p=0.33) when comparing the highest (>11.8% to >11.9% total energy) and lowest (<6.9% to <7.5% total energy) quantiles of consumption. LIMITATIONS Despite a dose-response gradient, the overall quality of evidence as assessed by GRADE was low, due to indirectness. There were only two prospective cohort studies involving predominantly white health professionals that assessed incident gout, and none assessed hyperuricemia. CONCLUSIONS Fructose consumption was associated with an increased risk of developing gout in predominantly white health professionals. More prospective studies are necessary to understand better the role of fructose and its food sources in the development of gout and hyperuricemia. PROTOCOL REGISTRATION NUMBER NCT01608620.
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Affiliation(s)
- Joseph Jamnik
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sara Rehman
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Tauseef A Khan
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Thomas M S Wolever
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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92
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Chiavaroli L, Mirrahimi A, Ireland C, Mitchell S, Sahye-Pudaruth S, Coveney J, Olowoyeye O, Maraj T, Patel D, de Souza RJ, Augustin LSA, Bashyam B, Blanco Mejia S, Nishi SK, Leiter LA, Josse RG, McKeown-Eyssen G, Moody AR, Berger AR, Kendall CWC, Sievenpiper JL, Jenkins DJA. Low-glycaemic index diet to improve glycaemic control and cardiovascular disease in type 2 diabetes: design and methods for a randomised, controlled, clinical trial. BMJ Open 2016; 6:e012220. [PMID: 27388364 PMCID: PMC4947767 DOI: 10.1136/bmjopen-2016-012220] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Type 2 diabetes (T2DM) produces macrovascular and microvascular damage, significantly increasing the risk of cardiovascular disease (CVD), renal failure and blindness. As rates of T2DM rise, the need for effective dietary and other lifestyle changes to improve diabetes management become more urgent. Low-glycaemic index (GI) diets may improve glycaemic control in diabetes in the short term; however, there is a lack of evidence on the long-term adherence to low-GI diets, as well as on the association with surrogate markers of CVD beyond traditional risk factors. Recently, advances have been made in measures of subclinical arterial disease through the use of MRI, which, along with standard measures from carotid ultrasound (CUS) scanning, have been associated with CVD events. We therefore designed a randomised, controlled, clinical trial to assess whether low-GI dietary advice can significantly improve surrogate markers of CVD and long-term glycaemic control in T2DM. METHODS AND ANALYSIS 169 otherwise healthy individuals with T2DM were recruited to receive intensive counselling on a low-GI or high-cereal fibre diet for 3 years. To assess macrovascular disease, MRI and CUS are used, and to assess microvascular disease, retinal photography and 24-hour urinary collections are taken at baseline and years 1 and 3. Risk factors for CVD are assessed every 3 months. ETHICS AND DISSEMINATION The study protocol and consent form have been approved by the research ethics board of St. Michael's Hospital. If the study shows a benefit, these data will support the use of low-GI and/or high-fibre foods in the management of T2DM and its complications. TRIAL REGISTRATION NUMBER NCT01063374; Pre-results.
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Affiliation(s)
- Laura Chiavaroli
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Arash Mirrahimi
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada Faculty of Health Sciences, School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Christopher Ireland
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sandra Mitchell
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sandhya Sahye-Pudaruth
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Judy Coveney
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Omodele Olowoyeye
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Tishan Maraj
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Darshna Patel
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Livia S A Augustin
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada National Cancer Institute "Fondazione G. Pascale", Naples, Italy
| | - Balachandran Bashyam
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Stephanie K Nishi
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Robert G Josse
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Gail McKeown-Eyssen
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Alan R Moody
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Alan R Berger
- Department of Ophthalmology, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril W C Kendall
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
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93
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Azad MB, Sharma AK, de Souza RJ, Dolinsky VW, Becker AB, Mandhane PJ, Turvey SE, Subbarao P, Lefebvre DL, Sears MR. Association Between Artificially Sweetened Beverage Consumption During Pregnancy and Infant Body Mass Index. JAMA Pediatr 2016; 170:662-70. [PMID: 27159792 DOI: 10.1001/jamapediatrics.2016.0301] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE The consumption of artificial sweeteners has increased substantially in recent decades, including among pregnant women. Animal studies suggest that exposure to artificial sweeteners in utero may predispose offspring to develop obesity; however, to our knowledge, this has never been studied in humans. OBJECTIVE To determine whether maternal consumption of artificially sweetened beverages during pregnancy is associated with infant body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]). DESIGN, SETTING, AND PARTICIPANTS This cohort study included 3033 mother-infant dyads from the Canadian Healthy Infant Longitudinal Development (CHILD) Study, a population-based birth cohort that recruited healthy pregnant women from 2009 to 2012. Women completed dietary assessments during pregnancy, and their infants' BMI was measured at 1 year of age (n = 2686; 89% follow-up). Statistical analysis for this study used data collected after the first year of follow-up, which was completed in October 2013. The data analysis was conducted in August 2015. EXPOSURES Maternal consumption of artificially sweetened beverages and sugar-sweetened beverages during pregnancy, determined by a food frequency questionnaire. MAIN OUTCOMES AND MEASURES Infant BMI z score and risk of overweight at 1 year of age, determined from objective anthropometric measurements and defined according to World Health Organization reference standards. RESULTS The mean (SD) age of the 3033 pregnant women was 32.4 (4.7) years, and their mean (SD) BMI was 24.8 (5.4). The mean (SD) infant BMI z score at 1 year of age was 0.19 (1.05), and 5.1% of infants were overweight. More than a quarter of women (29.5%) consumed artificially sweetened beverages during pregnancy, including 5.1% who reported daily consumption. Compared with no consumption, daily consumption of artificially sweetened beverages was associated with a 0.20-unit increase in infant BMI z score (adjusted 95% CI, 0.02-0.38) and a 2-fold higher risk of infant overweight at 1 year of age (adjusted odds ratio, 2.19; 95% CI, 1.23-3.88). These effects were not explained by maternal BMI, diet quality, total energy intake, or other obesity risk factors. There were no comparable associations for sugar-sweetened beverages. CONCLUSIONS AND RELEVANCE To our knowledge, we provide the first human evidence that maternal consumption of artificial sweeteners during pregnancy may influence infant BMI. Given the current epidemic of childhood obesity and widespread use of artificial sweeteners, further research is warranted to confirm our findings and investigate the underlying biological mechanisms, with the ultimate goal of informing evidence-based dietary recommendations for pregnant women.
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Affiliation(s)
- Meghan B Azad
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada2Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Atul K Sharma
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada2Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada3George and Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winni
| | - Russell J de Souza
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada5Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada6Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Onta
| | - Vernon W Dolinsky
- Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada7Department of Pharmacology and Therapeutics, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Allan B Becker
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada2Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Stuart E Turvey
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada10Child and Family Research Institute, BC Children's Hospital, Vancouver, British Columbia, Canada
| | - Padmaja Subbarao
- Department of Pediatrics & Physiology, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Diana L Lefebvre
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Malcolm R Sears
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
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94
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Pirbaglou M, Katz J, de Souza RJ, Stearns JC, Motamed M, Ritvo P. Probiotic supplementation can positively affect anxiety and depressive symptoms: a systematic review of randomized controlled trials. Nutr Res 2016; 36:889-898. [PMID: 27632908 DOI: 10.1016/j.nutres.2016.06.009] [Citation(s) in RCA: 164] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Revised: 06/14/2016] [Accepted: 06/17/2016] [Indexed: 12/15/2022]
Abstract
Gastrointestinal microbiota, consisting of microbial communities in the gastrointestinal tract, play an important role in digestive, metabolic, and immune functioning. Preclinical studies on rodents have linked behavioral and neurochemical changes in the central nervous system with deficits or alterations in these bacterial communities. Moreover, probiotic supplementation in rodents has been shown to markedly change behavior, with correlated changes in central neurochemistry. While such studies have documented behavioral and mood-related supplementation effects, the significance of these effects in humans, especially in relation to anxiety and depression symptoms, are relatively unknown. Thus, the purpose of this paper was to systematically evaluate current literature on the impact of probiotic supplementation on anxiety and depression symptoms in humans. To this end, multiple databases, including Medline, PsycINFO, PubMed, Scopus, and Web of Science were searched for randomized controlled trials published between January 1990 and January 2016. Search results led to a total of 10 randomized controlled trials (4 in clinically diagnosed and 6 in non-clinical samples) that provided limited support for the use of some probiotics in reducing human anxiety and depression. Despite methodological limitations of the included trials and the complex nature of gut-brain interactions, results suggest the detection of apparent psychological benefits from probiotic supplementation. Nevertheless a better understanding of developmental, modulatory, and metagenomic influences on the GI microbiota, specifically as they relate to mood and mental health, represent strong priorities for future research in this area.
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Affiliation(s)
- Meysam Pirbaglou
- School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada
| | - Joel Katz
- School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada; Department of Psychology, York University, Toronto, Ontario, Canada
| | - Russell J de Souza
- Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada
| | | | - Mehras Motamed
- School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada
| | - Paul Ritvo
- School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada; Department of Psychology, York University, Toronto, Ontario, Canada; University Health Network, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
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95
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Wang KW, Valencia M, Banfield L, Chau R, Fleming A, Singh SK, Burrow S, de Souza RJ, Thabane L, Samaan MC. The effectiveness of interventions to treat obesity in survivors of childhood brain tumors: a systematic review protocol. Syst Rev 2016; 5:101. [PMID: 27301869 PMCID: PMC4908756 DOI: 10.1186/s13643-016-0274-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 05/27/2016] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Pediatric brain tumors are the most common solid tumors in children. Advances in understanding the hallmarks of cancer biology and novel therapies have led to an increasing number of survivors of childhood brain tumors (SCBT). However, these survivors are at an increased risk of obesity and cardiometabolic disorders that affect their quality of life and lifespan. It is important to define effective strategies to treat and prevent obesity in this population. This systematic review aims to investigate the effectiveness of lifestyle interventions, pharmacotherapy, and bariatric surgery on treating obesity in SCBT. METHODS Searches will be conducted in PubMed, MEDLINE, EMBASE, PsycINFO, SPORTDiscus, CINAHL, Cochrane Database of Systematic Review, Cochrane Central Register of Controlled Trials (CENTRAL), and Database of Abstracts of Reviews of Effect (DARE). In addition, ClinicalTrials.gov and ProQuest Dissertations and Theses A&I will be searched to identify relevant gray literature. The reference lists of eligible articles will be searched for additional studies. All screening, quality assessment, and data abstraction will be done independently by two reviewers. We will perform meta-analysis if there are sufficient studies. DISCUSSION This review will summarize evidence for the effectiveness of interventions used to reduce obesity risk in SCBT. This has significant implications for SCBT, as it can identify gaps in knowledge and provide insights into the development of new interventions to manage obesity in survivors, which may improve their outcomes. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42015025909.
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Affiliation(s)
- Kuan-Wen Wang
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada.,Division of Pediatric Endocrinology, McMaster Children's Hospital, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada
| | - Marlie Valencia
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada.,Division of Pediatric Endocrinology, McMaster Children's Hospital, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada
| | - Laura Banfield
- Health Sciences Library, McMaster University, Hamilton, Ontario, Canada
| | - Ruth Chau
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada.,Division of Pediatric Endocrinology, McMaster Children's Hospital, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada
| | - Adam Fleming
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada.,Division of Pediatric Hematology/Oncology, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - Sheila K Singh
- Division of Neurosurgery, Department of Surgery, McMaster Children's Hospital, Hamilton, Ontario, Canada.,McMaster Stem Cell and Cancer Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Sarah Burrow
- Division of Orthopedic Surgery, Department of Surgery, McMaster University Medical Centre, Hamilton, Ontario, Canada
| | - Russell J de Souza
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada.,Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.,Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada.,Centre for Evaluation of Medicines, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.,Biostatistics Unit, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - M Constantine Samaan
- Department of Pediatrics, McMaster University, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada. .,Division of Pediatric Endocrinology, McMaster Children's Hospital, 1280 Main Street West, HSC-3A57, Hamilton, Ontario, L8S 4K1, Canada. .,Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
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96
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Kim SJ, de Souza RJ, Choo VL, Ha V, Cozma AI, Chiavaroli L, Mirrahimi A, Blanco Mejia S, Di Buono M, Bernstein AM, Leiter LA, Kris-Etherton PM, Vuksan V, Beyene J, Kendall CW, Jenkins DJ, Sievenpiper JL. Effects of dietary pulse consumption on body weight: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr 2016; 103:1213-23. [PMID: 27030531 DOI: 10.3945/ajcn.115.124677] [Citation(s) in RCA: 121] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 02/16/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Obesity is a risk factor for developing several diseases, and although dietary pulses (nonoil seeds of legumes such as beans, lentils, chickpeas, and dry peas) are well positioned to aid in weight control, the effects of dietary pulses on weight loss are unclear. OBJECTIVE We summarized and quantified the effects of dietary pulse consumption on body weight, waist circumference, and body fat by conducting a systematic review and meta-analysis of randomized controlled trials. DESIGN We searched the databases MEDLINE, Embase, CINAHL, and the Cochrane Library through 11 May 2015 for randomized controlled trials of ≥3 wk of duration that compared the effects of diets containing whole dietary pulses with those of comparator diets without a dietary pulse intervention. Study quality was assessed by means of the Heyland Methodologic Quality Score, and risk of bias was assessed with the Cochrane Risk of Bias tool. Data were pooled with the use of generic inverse-variance random-effects models. RESULTS Findings from 21 trials (n = 940 participants) were included in the meta-analysis. The pooled analysis showed an overall significant weight reduction of -0.34 kg (95% CI: -0.63, -0.04 kg; P = 0.03) in diets containing dietary pulses (median intake of 132 g/d or ∼1 serving/d) compared with diets without a dietary pulse intervention over a median duration of 6 wk. Significant weight loss was observed in matched negative-energy-balance (weight loss) diets (P = 0.02) and in neutral-energy-balance (weight-maintaining) diets (P = 0.03), and there was low evidence of between-study heterogeneity. Findings from 6 included trials also suggested that dietary pulse consumption may reduce body fat percentage. CONCLUSIONS The inclusion of dietary pulses in a diet may be a beneficial weight-loss strategy because it leads to a modest weight-loss effect even when diets are not intended to be calorically restricted. Future studies are needed to determine the effects of dietary pulses on long-term weight-loss sustainability. This protocol was registered at clinicaltrials.gov as NCT01594567.
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Affiliation(s)
- Shana J Kim
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit
| | - Russell J de Souza
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Canada;
| | - Vivian L Choo
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit
| | - Vanessa Ha
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Canada
| | - Adrian I Cozma
- Department of Nutritional Sciences, Department of Medicine, and Toronto 3D Knowledge Synthesis and Clinical Trials Unit
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit
| | - Arash Mirrahimi
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit, School of Medicine, Faculty of Health Sciences, Queen's University, Kingston, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit
| | - Marco Di Buono
- Department of Nutritional Sciences, American Heart Association, Dallas, TX
| | - Adam M Bernstein
- Department of Nutrition, Harvard School of Public Health, Boston, MA; Wellness Institute of the Cleveland Clinic, Cleveland, OH
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Department of Medicine, and Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Li Ka Shing Knowledge Institute, and Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Canada
| | - Penny M Kris-Etherton
- Department of Nutritional Sciences, Pennsylvania State University, University Park, PA; and
| | - Vladimir Vuksan
- Department of Nutritional Sciences, Department of Medicine, and Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Li Ka Shing Knowledge Institute, and Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Canada
| | - Joseph Beyene
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Canada
| | - Cyril Wc Kendall
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Canada
| | - David Ja Jenkins
- Department of Nutritional Sciences, Department of Medicine, and Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Li Ka Shing Knowledge Institute, and Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Li Ka Shing Knowledge Institute, and Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Canada
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de Souza RJ, Eisen RB, Perera S, Bantoto B, Bawor M, Dennis BB, Samaan Z, Thabane L. Best (but oft-forgotten) practices: sensitivity analyses in randomized controlled trials. Am J Clin Nutr 2016; 103:5-17. [PMID: 26675766 DOI: 10.3945/ajcn.115.121848] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Accepted: 11/04/2015] [Indexed: 01/15/2023] Open
Abstract
A randomized controlled clinical trial is the best way to minimize bias in ascertaining treatment effects, but the credibility of the results of a trial depends on the validity of the methods used to analyze the data, and the conditions under which such methods produce valid answers. A sensitivity analysis is a method to determine the robustness of trial findings by examining the extent to which results are affected by changes in methods, models, values of unmeasured variables, or assumptions. The goal of a sensitivity analysis is to identify results that are most dependent on questionable or unsupported assumptions. In this article, we briefly review the current use of sensitivity analyses in a random sample of published nutrition literature and provide a guide on the use of sensitivity analyses in randomized trials as to when to consider them, what to consider when planning them, and different methods of implementing them. We propose an 8-step strategy for improving the approach to conducting and reporting sensitivity analyses in nutrition-based trials.
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Affiliation(s)
- Russell J de Souza
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences, Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Rebecca B Eisen
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences
| | - Stefan Perera
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences
| | - Bianca Bantoto
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences
| | - Monica Bawor
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences
| | - Brittany B Dennis
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences
| | - Zainab Samaan
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences, Department of Psychiatry and Behavioral Neurosciences, St. Joseph's Healthcare Hamilton and Hamilton Health Sciences Mood Disorders Program, Hamilton, Canada
| | - Lehana Thabane
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences, Center for Evaluation of Medicine, Population Health Research Institute, Hamilton Health Sciences, and System-Linked Research Unit, McMaster University, Hamilton, Canada; and
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98
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Viguiliouk E, Stewart SE, Jayalath VH, Ng AP, Mirrahimi A, de Souza RJ, Hanley AJ, Bazinet RP, Blanco Mejia S, Leiter LA, Josse RG, Kendall CWC, Jenkins DJA, Sievenpiper JL. Effect of Replacing Animal Protein with Plant Protein on Glycemic Control in Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Nutrients 2015; 7:9804-24. [PMID: 26633472 PMCID: PMC4690061 DOI: 10.3390/nu7125509] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2015] [Revised: 10/29/2015] [Accepted: 11/17/2015] [Indexed: 01/28/2023] Open
Abstract
UNLABELLED Previous research on the effect of replacing sources of animal protein with plant protein on glycemic control has been inconsistent. We therefore conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) to assess the effect of this replacement on glycemic control in individuals with diabetes. We searched MEDLINE, EMBASE, and Cochrane databases through 26 August 2015. We included RCTs ≥ 3-weeks comparing the effect of replacing animal with plant protein on HbA1c, fasting glucose (FG), and fasting insulin (FI). Two independent reviewers extracted relevant data, assessed study quality and risk of bias. Data were pooled by the generic inverse variance method and expressed as mean differences (MD) with 95% confidence intervals (CIs). Heterogeneity was assessed (Cochran Q-statistic) and quantified (I²-statistic). Thirteen RCTs (n = 280) met the eligibility criteria. Diets emphasizing a replacement of animal with plant protein at a median level of ~35% of total protein per day significantly lowered HbA1c (MD = -0.15%; 95%-CI: -0.26, -0.05%), FG (MD = -0.53 mmol/L; 95%-CI: -0.92, -0.13 mmol/L) and FI (MD = -10.09 pmol/L; 95%-CI: -17.31, -2.86 pmol/L) compared with control arms. Overall, the results indicate that replacing sources of animal with plant protein leads to modest improvements in glycemic control in individuals with diabetes. Owing to uncertainties in our analyses there is a need for larger, longer, higher quality trials. TRIAL REGISTRATION ClinicalTrials.gov registration number: NCT02037321.
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Affiliation(s)
- Effie Viguiliouk
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
| | - Sarah E Stewart
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
| | - Viranda H Jayalath
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Surgical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C4, Canada.
- Undergraduate Medical Education, University of Toronto, Toronto, ON M5S 2E8, Canada.
| | - Alena Praneet Ng
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
| | - Arash Mirrahimi
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- School of Medicine, Faculty of Health Sciences, Queen's University, Kingston, ON K7L 3N6, Canada.
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada.
| | - Anthony J Hanley
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada.
- Department of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5S 2E8, Canada.
| | - Richard P Bazinet
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
| | - Sonia Blanco Mejia
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
| | - Lawrence A Leiter
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Department of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
| | - Robert G Josse
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Department of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
| | - Cyril W C Kendall
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5A2, Canada.
| | - David J A Jenkins
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Department of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
| | - John L Sievenpiper
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S 2E8, Canada.
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON M5C 2T2, Canada.
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Affiliation(s)
- Vanessa Ha
- Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada (V.H., R.J.S.)
| | - Russell J de Souza
- Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada (V.H., R.J.S.) Department of Nutritional Sciences, University of Toronto, Ontario, Canada (R.J.S.) Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada (R.J.S.)
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100
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Anand SS, Hawkes C, de Souza RJ, Mente A, Dehghan M, Nugent R, Zulyniak MA, Weis T, Bernstein AM, Krauss RM, Kromhout D, Jenkins DJA, Malik V, Martinez-Gonzalez MA, Mozaffarian D, Yusuf S, Willett WC, Popkin BM. Food Consumption and its Impact on Cardiovascular Disease: Importance of Solutions Focused on the Globalized Food System: A Report From the Workshop Convened by the World Heart Federation. J Am Coll Cardiol 2015; 66:1590-1614. [PMID: 26429085 PMCID: PMC4597475 DOI: 10.1016/j.jacc.2015.07.050] [Citation(s) in RCA: 277] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 07/16/2015] [Accepted: 07/20/2015] [Indexed: 02/07/2023]
Abstract
Major scholars in the field, on the basis of a 3-day consensus, created an in-depth review of current knowledge on the role of diet in cardiovascular disease (CVD), the changing global food system and global dietary patterns, and potential policy solutions. Evidence from different countries and age/race/ethnicity/socioeconomic groups suggesting the health effects studies of foods, macronutrients, and dietary patterns on CVD appear to be far more consistent though regional knowledge gaps is highlighted. Large gaps in knowledge about the association of macronutrients to CVD in low- and middle-income countries particularly linked with dietary patterns are reviewed. Our understanding of foods and macronutrients in relationship to CVD is broadly clear; however, major gaps exist both in dietary pattern research and ways to change diets and food systems. On the basis of the current evidence, the traditional Mediterranean-type diet, including plant foods and emphasis on plant protein sources provides a well-tested healthy dietary pattern to reduce CVD.
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Affiliation(s)
- Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Corinna Hawkes
- Centre for Food Policy, City University, London, United Kingdom
| | - Russell J de Souza
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
| | - Andrew Mente
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Mahshid Dehghan
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Rachel Nugent
- Department of Global Health, University of Washington, Seattle, Washington
| | | | - Tony Weis
- Department of Geography, University of Western Ontario, London, Ontario, Canada
| | - Adam M Bernstein
- Center for Lifestyle Medicine, Cleveland Clinic, Lyndhurst, Ohio
| | - Ronald M Krauss
- Children's Hospital Oakland Research Institute, Oakland, California
| | - Daan Kromhout
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Clinical Nutrition & Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Vasanti Malik
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | | | - Dariush Mozaffarian
- Friedman School of Nutrition Science & Policy, Tufts University, Boston, Massachusetts
| | - Salim Yusuf
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Walter C Willett
- Departamento de Medicina Preventiva y Salud Publica, Universidad de Navarra-CIBEROBN, Pamplona, Spain
| | - Barry M Popkin
- Department of Nutrition, School of Public Health, University of North Carolina, Chapel Hill, North Carolina.
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