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Enriquez JP, Ader D. Associations between health issues and food consumption with overweight and obesity in three university students minorities. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2023:1-9. [PMID: 37819376 DOI: 10.1080/07448481.2023.2266045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 09/24/2023] [Indexed: 10/13/2023]
Abstract
Objective: To determine the presence of overweight and obesity among minorities, and the factors contributing to this weight disparity. Participants: The study comprises 3405 students including nonwhite, international, and first-generation college students. Methods: An online cross-sectional survey collected data on demographics, height, weight, self-health perception, overall sleep quality, progress in school, and food consumption. Three logistic regressions tested abnormal weight associations with health issues and food consumption. Results: Being 31 years-old or older, perception of health and consumption of ultra-processed food was significant with abnormal weight (BMI > 25). Only nonwhite and international students were correlated with ultra-processed and fast-food consumption respectively. Conclusion: Each minority presented vulnerabilities to high percentages of weights exceeding the appropriate rates of BMI. The high consumption of fast and ultra-processed foods makes it important to consider factors related to health perception in each minority group.
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Affiliation(s)
- Jean Pierre Enriquez
- Smith Center for International Sustainable Agriculture, Institute of Agriculture, The University of Tennessee, Knoxville, Tennessee, USA
| | - David Ader
- Smith Center for International Sustainable Agriculture, Institute of Agriculture, The University of Tennessee, Knoxville, Tennessee, USA
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2
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Nyati LH, Pettifor JM, Ong KK, Norris SA. The association between the timing, intensity and magnitude of adolescent growth and body composition in early adulthood. Eur J Clin Nutr 2023:10.1038/s41430-023-01293-9. [PMID: 37311870 DOI: 10.1038/s41430-023-01293-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 05/05/2023] [Accepted: 05/19/2023] [Indexed: 06/15/2023]
Abstract
OBJECTIVES There's paucity of longitudinal studies assessing the role of adolescent growth on adult body composition in developing countries. The aims of this study were to assess the association between adolescent change in height, weight and BMI and early adult height, weight, body fat and lean mass. METHODS Magnitude, timing and intensity of height, weight and BMI growth were modelled for participants from the Birth to Thirty (Bt30) cohort (7-23 years). Early adult height, weight, BMI and DXA-derived body composition were obtained 1881 black participants (21-24 years). Linear regression analyses were used to assess associations. RESULTS Adolescents with an earlier onset of puberty were heavier in childhood and had an earlier timing and faster weight gain velocity in late adolescence. The intensity of adolescent weight gain was positively associated with adult BMI and fat mass index (FMI) in females. Early timing of adolescent BMI gain was associated with increased weight and BMI in adult females and FMI in adult males. Achieving peak weight velocity around age at peak height velocity was associated with lower BMI and fat mass in both sexes. CONCLUSION This study confirms the adverse consequences of excessive weight gain prior to puberty, which is associated with an earlier and faster resurgence in weight gain velocity in early adulthood. Factors that contribute to an asynchronous timing of ages of peak weight and peak height velocities may accentuate the risk of adult obesity.
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Affiliation(s)
- Lukhanyo H Nyati
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
- Interprofessional Education Unit, Faculty of Community and Health Sciences, University of the Western Cape, Cape Town, South Africa.
| | - John M Pettifor
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ken K Ong
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- MRC Epidemiology Unit and Department of Paediatrics, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Shane A Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- School of Human Development and Health, University of Southampton, Southampton, UK
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3
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Poveda NE, Adair LS, Martorell R, Patel SA, Ramirez-Zea M, Bhargava SK, Bechayda SA, Carba DB, Kroker-Lobos MF, Horta BL, Lima NP, Mazariegos M, Menezes AMB, Norris SA, Nyati LH, Richter LM, Sachdev H, Wehrmeister FC, Stein AD. Growth patterns in childhood and adolescence and adult body composition: a pooled analysis of birth cohort studies from five low and middle-income countries (COHORTS collaboration). BMJ Open 2023; 13:e068427. [PMID: 36921951 PMCID: PMC10030655 DOI: 10.1136/bmjopen-2022-068427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023] Open
Abstract
OBJECTIVE We examined associations among serial measures of linear growth and relative weight with adult body composition. DESIGN Secondary data analysis of prospective birth cohort studies. SETTINGS Six birth cohorts from Brazil, Guatemala, India, the Philippines and South Africa. PARTICIPANTS 4173 individuals followed from birth to ages 22-46 years with complete and valid weight and height at birth, infancy, childhood and adolescence, and body composition in adult life. EXPOSURES Birth weight and conditional size (standardised residuals of height representing linear growth and of relative weight representing weight increments independent of linear size) in infancy, childhood and adolescence. PRIMARY OUTCOME MEASURES Body mass index, fat mass index (FMI), fat-free mass index (FFMI), fat mass/fat-free mass ratio (FM/FFM), and waist circumference in young and mid-adulthood. RESULTS In pooled analyses, a higher birth weight and relative weight gains in infancy, childhood and adolescence were positively associated with all adult outcomes. Relative weight gains in childhood and adolescence were the strongest predictors of adult body composition (β (95% CI) among men: FMI (childhood: 0.41 (0.26 to 0.55); adolescence: 0.39 (0.27 to 0.50)), FFMI (childhood: 0.50 (0.34 to 0.66); adolescence: 0.43 (0.32 to 0.55)), FM/FFM (childhood: 0.31 (0.16 to 0.47); adolescence: 0.31 (0.19 to 0.43))). Among women, similar patterns were observed, but, effect sizes in adolescence were slightly stronger than in childhood. Conditional height in infancy was positively associated with FMI (men: 0.08 (0.03 to 0.14); women: 0.11 (0.07 to 0.16)). Conditional height in childhood was positively but weakly associated with women's adiposity. Site-specific and sex-stratified analyses showed consistency in the direction of estimates, although there were differences in their magnitude. CONCLUSIONS Prenatal and postnatal relative weight gains were positive predictors of larger body size and increased adiposity in adulthood. A faster linear growth in infancy was a significant but weak predictor of higher adult adiposity.
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Affiliation(s)
- Natalia E Poveda
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Linda S Adair
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Reynaldo Martorell
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Shivani A Patel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Manuel Ramirez-Zea
- INCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala
| | - Santosh K Bhargava
- Department of Pediatrics, Safdarjang Hospital and Vardhman Mahavir Medical College, New Delhi, India
| | - Sonny A Bechayda
- Office of Population Studies Foundation, University of San Carlos - Talamban Campus, Cebu City, The Philippines
| | - Delia B Carba
- Office of Population Studies Foundation, University of San Carlos - Talamban Campus, Cebu City, The Philippines
| | - Maria F Kroker-Lobos
- INCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala
| | - Bernardo Lessa Horta
- Post-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Natália Peixoto Lima
- Post-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Mónica Mazariegos
- INCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala
| | | | - Shane A Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Lukhanyo H Nyati
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Linda M Richter
- DSI-NRF Centre of Excellence in Human Development, University of the Witwatersrand, Johannesburg, South Africa
| | - Harshpal Sachdev
- Senior Consultant Pediatrics and Clinical Epidemiology, Sitaram Bhartia Institute of Science and Research, New Delhi, India
| | - Fernando C Wehrmeister
- Post-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Aryeh D Stein
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Ying M, Hu X, Li Q, Dong H, Zhou Y, Chen Z. Long-term trajectories of BMI and cumulative incident metabolic syndrome: A cohort study. Front Endocrinol (Lausanne) 2022; 13:915394. [PMID: 36568079 PMCID: PMC9773063 DOI: 10.3389/fendo.2022.915394] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Body mass index (BMI) has been widely recognized as a risk factor for metabolic syndrome (MetS). However, the relationship between the trajectory of BMI and cumulative incident MetS is still unclear. We investigate the associations of long-term measurements of BMI with MetS among young adults in the China Health and Nutrition Survey. METHODS We enrolled individuals aged 10 to 20 at baseline with recorded BMI at each follow-up interview, and 554 participants were finally included in our study. The assessment and incidence of MetS were evaluated by blood tests and physical examinations in their adulthood. A latent class growth mixed model was used to identify three BMI trajectory patterns: a low baseline BMI with slow development (low-slow, n=438), a low baseline BMI with fast development (low-fast, n=66), and a high baseline BMI with fast development (high-fast, n=50). Logistic regression was used to explore the relationship between different BMI trajectories and the incidence of MetS. RESULT During a follow-up of 16 years, 61 (11.01%) participants developed MetS. The combination of elevated triglycerides and reduced high-density lipoprotein cholesterol was most frequent in diagnosed MetS. In multivariate adjusted models, the low-fast and high-fast BMI trajectories showed a significantly higher risk of MetS than those with the low-slow BMI trajectory (low-high: OR = 3.40, 95% CI: 1.14-10.13, P < 0.05; high-fast: OR = 5.81, 95% CI: 1.63-20.69, P < 0.05). CONCLUSION Our study identified three BMI trajectories in young adults and found that long-term measurements of BMI were also associated with cumulative incident MetS.
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Affiliation(s)
- Ming Ying
- Department of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Xiangming Hu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qiang Li
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Haojian Dong
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- *Correspondence: Zhujun Chen, ; Yingling Zhou,
| | - Zhujun Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- *Correspondence: Zhujun Chen, ; Yingling Zhou,
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Haga C, Yokomichi H, Tsuji K, Yamagata Z. Adiposity rebound may be a predictive index of body size for adolescents-Based on retrospective cohort data in a Japanese rural area. Obes Res Clin Pract 2021; 16:50-55. [PMID: 34972636 DOI: 10.1016/j.orcp.2021.12.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 12/13/2021] [Accepted: 12/16/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND We aimed to examine whether the timing of adiposity rebound (AR) could be a predictive index of body size in Japanese adolescents. METHODS The longitudinal individual data of 1438 Japanese children, including 714 boys and 724 girls born between 2001 and 2007, were obtained from child health check-ups conducted at ages 1.5, 2, 3, and 5 years, and then yearly after the age of 6 years. We examined whether the timing of AR could be used to estimate the body size at 14 years of age. RESULTS The AR had a normal distribution with a mean occurrence at age 6-7 years. The odds ratio of having obesity at age 14 were 8.32 for boys and 4.81 for girls, whereas boys and girls with later AR at the same age had a relative risk of thinness of 6.27 and 8.14, respectively. The probability that children with an early AR (i.e., <6 years old) would be obese was nearly 40%. Similar to obesity, the probability of thinness at 14 years remained approximately 8% for both sexes. CONCLUSIONS The findings suggest that early AR could raise the risk of obesity, and AR could later raise the risk of thinness. However, both probabilities of AR timing as predictors of adolescent weight status may only be about 10%-20%. This study cannot clearly determine whether the results were influenced by other factors after controlling for the timing of AR. Future studies that also consider lifestyle and genetic factors are warranted.
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Affiliation(s)
- Chiyori Haga
- Graduate School of Medicine, Department of Community Nursing, Kagawa University, Kagawa, Japan.
| | - Hiroshi Yokomichi
- Graduate School Department of Interdisciplinary Research, Yamanashi University, Yamanashi, Japan
| | - Kyoko Tsuji
- Graduate School of Medicine, Department of Community Nursing, Kagawa University, Kagawa, Japan
| | - Zentaro Yamagata
- Graduate School Department of Interdisciplinary Research, Yamanashi University, Yamanashi, Japan
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Body Fat Mass, Percent Body Fat, Fat-Free Mass, and Skeletal Muscle Mass Reference Curves for Czech Children Aged 6-11 Years. CHILDREN-BASEL 2021; 8:children8050366. [PMID: 34064402 PMCID: PMC8147804 DOI: 10.3390/children8050366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/20/2021] [Accepted: 05/02/2021] [Indexed: 11/20/2022]
Abstract
Background: Negative lifestyle trends are reflected in overweight and obese children, in which their lack of physical activity results in decreased muscle mass. This study aimed to define age- and sex-specific reference curves for body fat mass (BFM), skeletal muscle mass (SMM), fat-free mass (FFM), and percent body fat (%BF) in Czech children. Methods: Body composition was measured by segmental bioelectrical impedance (BIA, InBody 720). The research sample included 2093 children aged 6–11 years (1008 boys and 1085 girls). Only children whose parents provided informed consent were included. Statistical analysis was performed using SPSS v. 22. The statistical analysis was performed separately by age and sex. Anthropometric data were summarized as means and standard deviation. The percentile curves (P3, P10, P25, P50, P75, P90, and P97) of BFM, FFM, %BF, and SMM were calculated using the gamlss package in R 3.4.2 (R Foundation for Statistical Computing, Vienna, Austria). Results: This study developed age- and gender-specific percentile curves of SMM, FFM, BFM, and %BF for Czech children aged 6–11 years. During childhood, BFM and %BF increased in boys, peaking at approximately 11 years of age. Girls displayed a different pattern of age-related changes in BFM and %BF compared to that in boys. These parameters gradually increased during childhood. This pattern was also observed for SMM and FFM in both sexes. Conclusions: The purpose of this study was to serve as a reference to improve methods to evaluate body composition in Czech children and for comparison with studies worldwide.
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Clark S. A life course perspective on BMI in rural America. Health Place 2021; 69:102562. [PMID: 33765494 DOI: 10.1016/j.healthplace.2021.102562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 01/22/2021] [Accepted: 03/08/2021] [Indexed: 11/25/2022]
Abstract
Rural Americans are substantially more likely to be obese than their urban counterparts. A life course perspective offers insights into how growing up in rural areas may affect weight in young adulthood. Using data from the Panel Survey of Income Dynamics, this study follows the residential trajectories of 3157 respondents since birth. Living in a rural area during the critical period of early childhood (before age two) is predictive of higher BMI, while residence in later childhood and adolescence is not. Improving the health and wellbeing of rural mothers and infants could potentially help address the roots of rural obesity.
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Affiliation(s)
- Shelley Clark
- McGill University, Peterson Hall, 3460 McTavish, Montreal, Quebec, H3A 0E6, Canada.
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Butler ÉM, Fangupo LJ, Cutfield WS, Taylor RW. Systematic review of randomised controlled trials to improve dietary intake for the prevention of obesity in infants aged 0-24 months. Obes Rev 2021; 22:e13110. [PMID: 32776705 DOI: 10.1111/obr.13110] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 07/14/2020] [Accepted: 07/14/2020] [Indexed: 02/06/2023]
Abstract
Improving dietary intake early in life is a common behavioural target in obesity prevention trials. We undertook a systematic review of randomised controlled trials aiming to improve dietary intake of complementary foods during infancy (0-24 months). PubMed, Cochrane Library, EMBASE, Medline, and PsycInfo were searched for trials focussed on obesity prevention conducted between January 2000 and August 2019 where dietary intake was an outcome. Two reviewers screened studies and extracted data from selected articles. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias 2 tools. The protocol was registered on Open Science Framework (https://osf.io/6srg7/). Seventeen articles from 12 trials were selected for data extraction. Statistically significant group differences in outcomes were observed in 36 of 165 (21.8%) of dietary variables examined. Measurement and analysis of outcomes varied between studies. Overall risk of bias was rated as high, primarily due to missing outcome data. Improving dietary intake at this age appears challenging based on a relatively limited number of studies. Future research could consider dietary pattern analyses, which may provide more meaningful outcomes for this age group. Opportunities exist for further exploration of maternal-focussed interventions, responsive feeding interventions, and interventions delivered outside of homes.
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Affiliation(s)
- Éadaoin M Butler
- A Better Start - National Science Challenge, New Zealand.,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Louise J Fangupo
- A Better Start - National Science Challenge, New Zealand.,Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Wayne S Cutfield
- A Better Start - National Science Challenge, New Zealand.,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Rachael W Taylor
- A Better Start - National Science Challenge, New Zealand.,Department of Medicine, University of Otago, Dunedin, New Zealand
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Ward S, Bélanger M, Leis A. Comparison between the Healthy Start-Départ Santé online and in-person training of childcare educators to improve healthy eating and physical activity practices and knowledge of physical activity and fundamental movement skills: A controlled trial. Prev Med Rep 2020; 20:101264. [PMID: 33354492 PMCID: PMC7744750 DOI: 10.1016/j.pmedr.2020.101264] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 09/30/2020] [Accepted: 11/21/2020] [Indexed: 01/04/2023] Open
Abstract
Healthy Start Départ Santé online training improved educators’ practices. Healthy eating and physical activity practices improved with online training. Knowledge gains of FMS and physical activity did not differ across groups. Online training is a sustainable way of reaching a greater number of educators.
Online training may be a more effective and sustainable way to reach educators in early childcare centres (ECCs). This study compared the effectiveness of an online version of the Healthy Start-Départ Santé (HSDS) training to the traditional in-person version of the training as well as to the usual practice condition on ECC educators’ healthy eating (HE) and physical activity (PA) practices and knowledge of PA and fundamental movement skills (FMS). Seventy-eight ECCs were randomly chosen across the provinces of New Brunswick and Saskatchewan, Canada and were allocated to either the online training, the in-person training or the usual practice groups between 2013 and 2018. Educators in each group completed a self-administered questionnaire before and nine months after the intervention, which included questions regarding their HE and PA practices in the ECC, as well as their knowledge of children’s FMS and PA. Group differences were assessed with mixed-effect models. Compared to educators in the usual practice group, educators in the online training group reported a greater improvement in scores for HE and PA practices (p = 0.03 and 0.03, respectively), but change for educators in the in-person training group were not different (p = 0.8 and 0.56, respectively). The rate of improvement in FMS and PA knowledge did not differ across all three groups (p = 0.9). The HSDS online training is an effective method of improving educators’ HE and PA practices in ECCs. Trial registration: ClinicalTrials.gov (NCT02375490)
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Affiliation(s)
- Stephanie Ward
- Université de Moncton, École des Sciences des Aliments, de Nutrition et d’études Familiales, Pavillon Jacqueline-Bouchard, 51, Avenue Antonine-Maillet, Moncton, NB E1A 3E9, Canada
- Corresponding author.
| | - Mathieu Bélanger
- Université de Sherbrooke, Centre de Formation Médicale du Nouveau-Brunswick, Pavillon J.-Raymond Frenette, 18, rue des Aboiteaux, Moncton, NB E1A 3E9, Canada
| | - Anne Leis
- University of Saskatchewan, Department of Community Health and Epidemiology, College of Medicine, Health Science Building, 107 Wiggins Road, Saskatoon, SK S7N 5E5, Canada
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Tanriverdi A, Kahraman BO, Ozsoy I, Ozpelit E, Savci S. Acute effects of inspiratory muscle training at different intensities in healthy young people. Ir J Med Sci 2020; 190:577-585. [PMID: 32851483 DOI: 10.1007/s11845-020-02353-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 08/22/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Understanding the acute effects of inspiratory muscle training (IMT) at different intensities on the autonomic nervous system, arterial stiffness, and blood pressure in healthy young people will be important in the constitution of appropriate IMT prescriptions. AIMS To investigate the acute effects of IMT at different intensities on autonomic function, arterial stiffness, and blood pressure in healthy young people METHODS: Thirty-six healthy participants were enrolled in this crossover study. All participants randomly performed IMT sessions, which consisted of diaphragmatic breathing exercise (DBE), 10%, 30%, and 60% of maximal inspiratory pressure (MIP) on consecutive days. Autonomic function and arterial stiffness were assessed by measuring heart rate variability (HRV) and aortic pulse wave velocity (AoPWV), respectively. HRV, AoPWV, and blood pressure were recorded before and immediately after each IMT session. RESULTS There was no significant difference in the baseline measurements between IMT sessions (p > 0.05). Heart rate (HR) significantly decreased after DBE and IMT at 10% of MIP (p < 0.05). All time domain parameters of HRV significantly improved after DBE compared with the baseline (p < 0.05). There was no difference in the frequency domain of HRV after the IMT sessions (p > 0.05). AoPWV significantly increased after IMT at 60% of MIP (p < 0.05). Mean arterial pressure significantly changed after DBE and IMT at 60% of MIP (p < 0.05). CONCLUSIONS A single session of DBE positively affects autonomic function and blood pressure, while IMT at 60% of MIP increases arterial stiffness. The different intensities of IMT have various impacts on autonomic function, arterial stiffness, and blood pressure. TRIAL REGISTRATION NCT03788356.
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Affiliation(s)
- Aylin Tanriverdi
- Graduate School of Health Sciences, Dokuz Eylül University, Izmir, Turkey. .,School of Physical Therapy and Rehabilitation, Dokuz Eylül University, Izmir, Turkey.
| | - Buse Ozcan Kahraman
- School of Physical Therapy and Rehabilitation, Dokuz Eylül University, Izmir, Turkey
| | - Ismail Ozsoy
- School of Physical Therapy and Rehabilitation, Selcuk University, Konya, Turkey
| | - Ebru Ozpelit
- Department of Cardiology, Faculty of Medicine, Dokuz Eylül University, Izmir, Turkey
| | - Sema Savci
- School of Physical Therapy and Rehabilitation, Dokuz Eylül University, Izmir, Turkey
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Visweswaraiah N, Nathan K. Adolescent Obesity and Eating Disorders: Can Calorie Restriction have a Positive Impact. CURRENT NUTRITION & FOOD SCIENCE 2020. [DOI: 10.2174/1573401315666190114153400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
The current obesogenic environment with relatively increased affordability
and availability of high calorie food and beverages, has led to an alarming increase in the prevalence
of obesity and related lifestyle disorders in children and adolescents, predisposing them to accelerated
aging. The increased prevalence may be due to the eating behavior of adolescents, their genetic
and molecular etiology and/or due to the impact of psychological stress and their wrong lifestyle
choices. Calorie restriction has been extensively researched for reducing the obesity in adolescents
and adults but is yet to be successfully implemented.
Objective:
The present review paper focuses on the types of calorie restriction diets, the role of its
mimics and the nutrigenomic mechanisms that may be helpful in reducing obesity and related disorders
in the adolescents. The role of behavioral therapeutic techniques and physical activity has also
been highlighted in addition to the calorie restricted diet for bringing about an overall lifestyle modification
in the management of obesity.
Conclusion:
Food preferences are acquired in childhood and sound nutritional practices should be
established in childhood to prevent lifestyle disorders and premature aging. Though CR is a known
and preferred non-pharmacological intervention in the management of obesity, its implemention has
not been explored and evaluated extensively. This is a vital area that needs scientific research as the
goals of obesity managements are no longer just weight loss through dietary restrictions. An interdisciplinary
method to lifestyle modification in the management of adolescent obesity addressing all
physiological and psychosocial aspects is recommended.
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Affiliation(s)
- Naveen Visweswaraiah
- Foundation for Assessment and Integration of Traditional Health Systems, Bengaluru, Karnataka, 560027, India
| | - Kousalya Nathan
- Department of Lifestyle Management, Apollo Spectra Hospitals, MRC Nagar RA Puram, Chennai, 600028, India
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Asigbee FM, Davis JN, Markowitz AK, Landry MJ, Vandyousefi S, Ghaddar R, Ranjit N, Warren J, van den Berg A. The Association Between Child Cooking Involvement in Food Preparation and Fruit and Vegetable Intake in a Hispanic Youth Population. Curr Dev Nutr 2020; 4:nzaa028. [PMID: 32258989 PMCID: PMC7108796 DOI: 10.1093/cdn/nzaa028] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 02/22/2020] [Accepted: 02/27/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Cooking interventions have been linked to reductions in obesity and improvements in dietary intake in children. OBJECTIVE To assess whether child cooking involvement (CCI) was associated with fruit intake (FI), vegetable intake (VI), vegetable preference (VP), and vegetable exposure (VE) in children participating in the Texas, Grow! Eat! Go! (TGEG) randomized controlled trial. METHODS Baseline data from TGEG included 1231 3rd grade students and their parents. Conducted in 28 low-income, primarily Hispanic schools across Texas, TGEG schools were assigned to: 1) Coordinated School Health (CSH) only (control group), 2) CSH plus gardening and nutrition intervention (Learn, Grow, Eat & Go! or LGEG group), 3) CSH plus physical activity intervention (Walk Across Texas or WAT group), and 4) CSH plus LGEG plus WAT (combined group). Height, weight, dietary intake, VE, VP, and CCI were collected at baseline and postintervention. Linear regressions were used to assess the relation between baseline CCI and fruit and vegetable (FV) intake, VE, and VP. A priori covariates included age, sex, race/ethnicity, and TGEG treatment group. RESULTS Children who were always involved in family cooking had higher VP and VE when compared with children who were never involved in family cooking (β = 3.26; 95% CI: 1.67, 4.86; P < 0.01 and β = 2.26; 95% CI: 0.67, 3.85; P < 0.01, respectively). Both VI and FI were higher for children who were always involved in family cooking compared with children who never cooked with their family (β = 2.45; 95% CI: 1.47, 3.44; P < 0.01 and β = 0.93; 95% CI: 0.48, 1.39; P < 0.01, respectively). VI and fruit consumption were higher for children who reported being sometimes involved in family cooking compared with children who were never involved in family cooking, (β = 1.47; 95% CI: 0.51, 2.42; P < 0.01, and β = 0.64; 95% CI: 0.20, 1.08; P < 0.01, respectively). CONCLUSIONS Results show a positive relation between family cooking and FV intake and preference in high-risk, minority children.
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Affiliation(s)
- Fiona M Asigbee
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA
| | - Jaimie N Davis
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA
| | - Annie K Markowitz
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA
| | - Matthew J Landry
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA
| | - Sarvenaz Vandyousefi
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA
| | - Reem Ghaddar
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA
| | - Nalini Ranjit
- Michael & Susan Dell Center for Healthy Living—Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston (UTHEALTH), Austin Campus, Austin, TX, USA
| | - Judith Warren
- Texas AgriLife Extension Service, Texas A&M University, College Station, TX, USA
| | - Alexandra van den Berg
- Michael & Susan Dell Center for Healthy Living—Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston (UTHEALTH), Austin Campus, Austin, TX, USA
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13
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Akter S, Dawson JA, Kahathuduwa CN, Chin S, Binks M. Psychological and weight history variables as predictors of short-term weight and body fat mass loss. Obes Sci Pract 2020; 6:152-161. [PMID: 32313673 PMCID: PMC7156839 DOI: 10.1002/osp4.394] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 11/15/2019] [Accepted: 11/16/2019] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE Identifying predictors of early weight loss may have value in predicting longer-term success in weight loss programmes. This study examined if weight history variables (ie, weight cycling history [WCH], age of onset of obesity [AOO]), and preintervention Three-Factor Eating Questionnaire (TFEQ) and Power of Food Scale (PFS) scores predicted weight loss (WL) and fat mass loss (FML) following a 3-week calorie restriction intervention. METHODS Thirty-two participants (19-60 y; body mass index [BMI] 30-39.9 kg/m2) participated in a 3-week calorie restriction intervention (1120 kcal/d) as part of a larger clinical trial with 28 completers included in the current analyses. Preintervention WCH, AOO, TFEQ, and PFS subscale scores were collected, and WL and FML were measured. Multiple linear regression analyses were performed to predict WL and FML for relevant covariates in this study. RESULTS WCH, AOO, preintervention TFEQ subscale scores, and PFS subscale scores did not predict WL (all Ps > .08) or FML (Ps > .06) except, PFS-food tasted scores significantly predicted WL (r = -0.40, P = .03). CONCLUSION Although these variables were not robust predictors, results for at least the PFS suggest there may be value in further exploring this measure using larger sample sizes.
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Affiliation(s)
- Sharmin Akter
- Department of Nutritional SciencesTexas Tech UniversityLubbockTexas
| | - John A. Dawson
- Department of Nutritional SciencesTexas Tech UniversityLubbockTexas
| | - Chanaka N. Kahathuduwa
- Physician Assistant Program MidlandTexas Tech University Health Sciences CenterLubbockTexas
| | - Shao‐Hua Chin
- Department of Nutritional SciencesTexas Tech UniversityLubbockTexas
| | - Martin Binks
- Department of Nutritional SciencesTexas Tech UniversityLubbockTexas
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14
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Couto Alves A, De Silva NMG, Karhunen V, Sovio U, Das S, Taal HR, Warrington NM, Lewin AM, Kaakinen M, Cousminer DL, Thiering E, Timpson NJ, Bond TA, Lowry E, Brown CD, Estivill X, Lindi V, Bradfield JP, Geller F, Speed D, Coin LJM, Loh M, Barton SJ, Beilin LJ, Bisgaard H, Bønnelykke K, Alili R, Hatoum IJ, Schramm K, Cartwright R, Charles MA, Salerno V, Clément K, Claringbould AAJ, van Duijn CM, Moltchanova E, Eriksson JG, Elks C, Feenstra B, Flexeder C, Franks S, Frayling TM, Freathy RM, Elliott P, Widén E, Hakonarson H, Hattersley AT, Rodriguez A, Banterle M, Heinrich J, Heude B, Holloway JW, Hofman A, Hyppönen E, Inskip H, Kaplan LM, Hedman AK, Läärä E, Prokisch H, Grallert H, Lakka TA, Lawlor DA, Melbye M, Ahluwalia TS, Marinelli M, Millwood IY, Palmer LJ, Pennell CE, Perry JR, Ring SM, Savolainen MJ, Rivadeneira F, Standl M, Sunyer J, Tiesler CMT, Uitterlinden AG, Schierding W, O’Sullivan JM, Prokopenko I, Herzig KH, Smith GD, O'Reilly P, Felix JF, Buxton JL, Blakemore AIF, Ong KK, Jaddoe VWV, Grant SFA, Sebert S, McCarthy MI, Järvelin MR. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI. SCIENCE ADVANCES 2019; 5:eaaw3095. [PMID: 31840077 PMCID: PMC6904961 DOI: 10.1126/sciadv.aaw3095] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 08/06/2019] [Indexed: 05/29/2023]
Abstract
Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies.
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Affiliation(s)
- Alexessander Couto Alves
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
| | - N. Maneka G. De Silva
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Ulla Sovio
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - Shikta Das
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - H. Rob Taal
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, Sophia Children’s Hospital, Rotterdam, Netherlands
| | - Nicole M. Warrington
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Queensland, Australia
| | - Alexandra M. Lewin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Marika Kaakinen
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- Centre for Pharmacology and Therapeutics, Division of Experimental Medicine, Department of Medicine, Imperial College London, Hammersmith Hospital, London, UK
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Surrey, UK
| | - Diana L. Cousminer
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Elisabeth Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children’s Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tom A. Bond
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Estelle Lowry
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Christopher D. Brown
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Xavier Estivill
- Genomics and Disease Group, Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Catalonia, Spain
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Virpi Lindi
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
| | - Jonathan P. Bradfield
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Doug Speed
- Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark
- UCL Genetics Institute, University College London, London, UK
| | - Lachlan J. M. Coin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Marie Loh
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR) Singapore, Singapore
| | - Sheila J. Barton
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lawrence J. Beilin
- Medical School, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
| | - Hans Bisgaard
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Bønnelykke
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rohia Alili
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
| | - Ida J. Hatoum
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Katharina Schramm
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
| | - Rufus Cartwright
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Institute for Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Marie-Aline Charles
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
| | - Vincenzo Salerno
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Karine Clément
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
| | - Annique A. J. Claringbould
- University Medical Centre Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV Groningen, Netherlands
| | - BIOS Consortium
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, Sophia Children’s Hospital, Rotterdam, Netherlands
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Queensland, Australia
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- Centre for Pharmacology and Therapeutics, Division of Experimental Medicine, Department of Medicine, Imperial College London, Hammersmith Hospital, London, UK
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Surrey, UK
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children’s Hospital, Ludwig-Maximilians University Munich, Munich, Germany
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Genomics and Disease Group, Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Catalonia, Spain
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Sidra Medical and Research Center, Doha, Qatar
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark
- UCL Genetics Institute, University College London, London, UK
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR) Singapore, Singapore
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Medical School, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
- Institute for Reproductive and Developmental Biology, Imperial College London, London, UK
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
- University Medical Centre Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV Groningen, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
- Department of General Practice and Primary Health Care, University of Helsinki, and Helsinki University Hospital, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
- National Institute for Health Research, Imperial College Biomedical Research Centre, London, UK
- Health Data Research UK London, Imperial College London, London, UK
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- School of Psychology, College of Social Science, University of Lincoln Brayford Pool Lincoln, Lincolnshire, UK
- Human Genetics and Medical Genomics, Faculty of Medicine, University of Southampton, Southampton, UK
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Great Ormond Street Hospital Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, North Terrace, Adelaide, South Australia, Australia
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institute, Stockholm, Sweden
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Stanford University Medical School, Stanford, CA, USA
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Old Road Campus, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Oxford, UK
- School of Public Health and Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Avon Longitudinal Study of Parents and Children, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Division of Internal Medicine, and Biocenter of Oulu, Faculty of Medicine, Oulu University, Oulu, Finland
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Liggins Institute, University of Auckland, Auckland, New Zealand
- A Better Start—National Science, Challenge, University of Auckland, Auckland, New Zealand
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Research Unit of Biomedicine, University Oulu, Oulu, Finland
- Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, De Crespigny Park, London, UK
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Elena Moltchanova
- Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
| | - Johan G. Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, and Helsinki University Hospital, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
| | - Cathy Elks
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Claudia Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
| | - Stephen Franks
- Institute for Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Timothy M. Frayling
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Rachel M. Freathy
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- National Institute for Health Research, Imperial College Biomedical Research Centre, London, UK
- Health Data Research UK London, Imperial College London, London, UK
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Hakon Hakonarson
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew T. Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Alina Rodriguez
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Psychology, College of Social Science, University of Lincoln Brayford Pool Lincoln, Lincolnshire, UK
| | - Marco Banterle
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
| | - Barbara Heude
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
| | - John W. Holloway
- Human Genetics and Medical Genomics, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Albert Hofman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Elina Hyppönen
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Great Ormond Street Hospital Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, North Terrace, Adelaide, South Australia, Australia
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lee M. Kaplan
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Asa K. Hedman
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Esa Läärä
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
| | - Holger Prokisch
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Timo A. Lakka
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Debbie A. Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Stanford University Medical School, Stanford, CA, USA
| | - Tarunveer S. Ahluwalia
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marcella Marinelli
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Iona Y. Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Old Road Campus, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Oxford, UK
| | - Lyle J. Palmer
- School of Public Health and Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Craig E. Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - John R. Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Susan M. Ring
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Avon Longitudinal Study of Parents and Children, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Markku J. Savolainen
- Division of Internal Medicine, and Biocenter of Oulu, Faculty of Medicine, Oulu University, Oulu, Finland
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
| | - Jordi Sunyer
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Carla M. T. Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children’s Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Justin M. O’Sullivan
- Liggins Institute, University of Auckland, Auckland, New Zealand
- A Better Start—National Science, Challenge, University of Auckland, Auckland, New Zealand
| | - Inga Prokopenko
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Surrey, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
| | - Karl-Heinz Herzig
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Research Unit of Biomedicine, University Oulu, Oulu, Finland
- Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Paul O'Reilly
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, De Crespigny Park, London, UK
| | - Janine F. Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, Sophia Children’s Hospital, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jessica L. Buxton
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Alexandra I. F. Blakemore
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
| | - Ken K. Ong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Struan F. A. Grant
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sylvain Sebert
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Mark I. McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Early Growth Genetics (EGG) Consortium
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, Sophia Children’s Hospital, Rotterdam, Netherlands
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Queensland, Australia
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- Centre for Pharmacology and Therapeutics, Division of Experimental Medicine, Department of Medicine, Imperial College London, Hammersmith Hospital, London, UK
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Surrey, UK
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children’s Hospital, Ludwig-Maximilians University Munich, Munich, Germany
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Genomics and Disease Group, Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Catalonia, Spain
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Sidra Medical and Research Center, Doha, Qatar
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark
- UCL Genetics Institute, University College London, London, UK
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR) Singapore, Singapore
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Medical School, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
- Institute for Reproductive and Developmental Biology, Imperial College London, London, UK
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
- University Medical Centre Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV Groningen, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
- Department of General Practice and Primary Health Care, University of Helsinki, and Helsinki University Hospital, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
- National Institute for Health Research, Imperial College Biomedical Research Centre, London, UK
- Health Data Research UK London, Imperial College London, London, UK
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- School of Psychology, College of Social Science, University of Lincoln Brayford Pool Lincoln, Lincolnshire, UK
- Human Genetics and Medical Genomics, Faculty of Medicine, University of Southampton, Southampton, UK
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Great Ormond Street Hospital Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, North Terrace, Adelaide, South Australia, Australia
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institute, Stockholm, Sweden
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Stanford University Medical School, Stanford, CA, USA
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Old Road Campus, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Oxford, UK
- School of Public Health and Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Avon Longitudinal Study of Parents and Children, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Division of Internal Medicine, and Biocenter of Oulu, Faculty of Medicine, Oulu University, Oulu, Finland
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Liggins Institute, University of Auckland, Auckland, New Zealand
- A Better Start—National Science, Challenge, University of Auckland, Auckland, New Zealand
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Research Unit of Biomedicine, University Oulu, Oulu, Finland
- Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, De Crespigny Park, London, UK
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
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15
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Woglom C, Gray V, Hill M, Wang L. Significant Relationships Exist between Perceived and Objective Diet Quality in Young Adults. J Acad Nutr Diet 2019; 120:103-110. [PMID: 31473155 DOI: 10.1016/j.jand.2019.06.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 05/17/2019] [Accepted: 06/04/2019] [Indexed: 11/15/2022]
Abstract
BACKGROUND There is a disproportionate burden of low diet quality among young adults compared with other adult subpopulations that is not understood. Perceived and objective diet qualities are studied to understand possible barriers to change. OBJECTIVE To explore the association between perceived diet quality and objective diet quality in young adults in the United States. DESIGN This cross-sectional study used data from the 2013-2014 National Health and Nutrition Examination Survey to calculate total Healthy Eating Index-2010 (HEI-2010) score and component scores and study their relationships with perceived diet quality scores. PARTICIPANTS/SETTING The sample consisted of 1,261 young adults, aged 18 to 30, with 24-hour recall data. MAIN OUTCOME MEASURES Perceived and objective diet quality were evaluated. STATISTICAL ANALYSES PERFORMED Multiple regression analysis was used to test the ability to predict total HEI-2010 scores from perceived diet quality scores. Ordered logit was used to test whether HEI-2010 component scores predicted the odds of having higher perceived diet quality. RESULTS Excellent (b=8.442, P<0.001), very good (b=9.733, P<0.001), and good (b=5.527, P<0.001) perceived diet quality were significant predictors of total HEI-2010 score, compared with the referent category of poor perceived diet quality. The full regression model predicted 17.0% of the variance in total HEI-2010 score. Whole fruit (odds ratio [OR]=1.098, P=.017), whole grains (OR=1.046, P=.023), and empty calories (OR=1.054, P<0.001) were each significantly associated with the odds of having a higher rating of perceived diet quality (fair, good, very good, excellent) instead of a poor rating of diet quality; the difference in odds was low across categories. CONCLUSIONS There are significant relationships between perceived and objective diet quality, but other variables play a substantial role in explaining these two types of diet quality.
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16
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Zhang T, Whelton PK, Xi B, Krousel-Wood M, Bazzano L, He J, Chen W, Li S. Rate of change in body mass index at different ages during childhood and adult obesity risk. Pediatr Obes 2019; 14:e12513. [PMID: 30702812 PMCID: PMC6684349 DOI: 10.1111/ijpo.12513] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 01/05/2019] [Indexed: 01/22/2023]
Abstract
BACKGROUND Childhood body mass index (BMI) predicts adult obesity. How growth trajectories during childhood relate to adult obesity risk is not well defined. OBJECTIVE We aimed to characterize BMI growth trajectories from childhood to midlife and to examine the associations between BMI growth rates at childhood age points and adult obesity risk. METHODS The longitudinal study included 2732 participants with repeated BMI measurements from childhood (4-19 y) to adulthood (20-51 y). A random-effects model was used to construct BMI growth curves by race and sex. Model-estimated levels and linear growth rates of BMI were linked to adult obesity in separate multivariable logistic regression models at individual childhood age points. RESULTS BMI followed cubic growth curves. Childhood BMI linear slope estimates were higher in adults with obesity than in adults without obesity (P < 0.001). The association between childhood BMI growth rate and adult obesity was significantly higher in puberty and postpuberty (12-19 y) than in early childhood (4-11 y) with a peak at age 14 (odds ratio = 3.1 and 95% confidence interval, 2.7-3.5). CONCLUSIONS Rates of change in BMI at different childhood ages are differentially associated with adult obesity. Puberty and postpuberty are crucial periods for the development of obesity in later life.
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Affiliation(s)
- Tao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, Shandong Province, China
| | - Paul K. Whelton
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Bo Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, Shandong Province, China
| | - Marie Krousel-Wood
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA,Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA,Ochsner Health System, New Orleans, LA, USA
| | - Lydia Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Shengxu Li
- Children’s Minnesota Research Institute, Children’s Hospitals and Clinics of Minnesota, Minneapolis, MN
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17
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Isa T, Ueda Y, Nakamura R, Misu S, Ono R. Relationship between the intention-behavior gap and self-efficacy for physical activity during childhood. J Child Health Care 2019; 23:79-86. [PMID: 29783846 DOI: 10.1177/1367493518777297] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This study investigated the relationship of a gap between the intent to be physically active and actual participation in physical activity ('intention-behavior gap') and self-efficacy for physical activity during childhood. A self-report questionnaire was used to collect information from 946 children from the fourth and sixth grades in Japan on self-efficacy, intention, and physical activity. Children with an intention-behavior gap (high intent-low activity or low intent-high activity) had higher self-efficacy scores than those with low intent and low activity (27.66 or 27.65 vs. 21.69; p < .001). They had lower self-efficacy scores than those with high intent and high activity (27.66 or 27.65 vs. 30.56; p < .001). Children with an intention-behavior gap had lower self-efficacy for physical activity than those who intended to be and were physically active. Such children may benefit from education interventions that focus on improving self-efficacy.
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Affiliation(s)
- Tsunenori Isa
- 1 Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Japan
| | - Yuya Ueda
- 1 Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Japan.,2 Division of Rehabilitation Medicine, Kobe University Hospital, Kobe, Japan
| | - Ryo Nakamura
- 3 Sakura Home Visit Nursing Care Station, Nishinomiya, Japan
| | - Shogo Misu
- 1 Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Japan.,4 Kobe City Hospital Organization, Kobe City Medical Center, West Hospital, Kobe, Japan
| | - Rei Ono
- 1 Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Japan
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18
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Milyani AA, Al-Agha AE. The effect of body mass index and gender on lipid profile in children and adolescents in Saudi Arabia. Ann Afr Med 2019; 18:42-46. [PMID: 30729932 PMCID: PMC6380115 DOI: 10.4103/aam.aam_17_18] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Objectives The objectives of this study were to study the relationship between lipid profile components among different body mass index (BMI) groups and investigate the association between gender and BMI. Methodology This cross-sectional study included 218 children and adolescents; 104 males and 114 females. Accepted age range was from 2 to 18 years. Data were collected from February to May during the year of 2017 and were analyzed using the Statistical Package for the Social Sciences. Standard deviation (SD) for BMI was calculated based on the World Health Organization guidelines. Lipid profile results were reviewed from laboratory reports. Results Nearly 10.6% of the study population were found to be overweight; another 22.1% were suffering from obesity, of which 7.1% were morbidly obese. Children who had high levels of low-density lipoprotein (LDL) and low levels of high-density lipoprotein (HDL) were found among higher BMI groups, with elevated cholesterol levels noted in patients of increased weight. An increase in HDL levels was noted in 71% of the children who avoided fast-food consumption. Significant gender predisposition to changes in BMI was not found (P = 0.467). Conclusion High BMI was found to be associated with increased levels of LDL cholesterol and decreased levels of HDL cholesterol. No significant association between gender and changes in lipid profile was established (P = 0.898). Recommendation All pediatricians must keep an open eye on overweight and obese children, routinely taking their weight measurements and screening for dyslipidemia by obtaining a full lipid profile for every child whose weight is 2 SDs above the mean.
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19
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Kang MJ. The adiposity rebound in the 21st century children: meaning for what? KOREAN JOURNAL OF PEDIATRICS 2018; 61:375-380. [PMID: 30585060 PMCID: PMC6313085 DOI: 10.3345/kjp.2018.07227] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 12/06/2018] [Indexed: 01/18/2023]
Abstract
With the increase in the prevalence of overweight and obesity worldwide, early adiposity rebound, which is known to have a strong association with obesity, has recently been a focus of research. Early adiposity rebound is conventionally known to have a close relationship with non-communicable diseases. However, novel insights into early adiposity rebound have implied an acceleration of growth and puberty, which is directly reflected in the trends in the timing of adiposity rebound, in the 21st century compared with in the past. Furthermore, the observation that lean mass changes rather than fat mass changes show a more similar pattern to body mass index trajectories is interesting. In this article, the later outcomes and risk factors of early adiposity rebound are briefly summarized, and the current trends in the timing of adiposity rebound and novel insights into its relationship with body composition are reviewed.
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Affiliation(s)
- Min Jae Kang
- Department of Pediatrics, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
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20
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Perng W, Baek J, Zhou CW, Cantoral A, Tellez-Rojo MM, Song PXK, Peterson KE. Associations of the infancy body mass index peak with anthropometry and cardiometabolic risk in Mexican adolescents. Ann Hum Biol 2018; 45:386-394. [PMID: 30328713 DOI: 10.1080/03014460.2018.1506048] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Early-life growth dynamics are associated with future health. Little is known regarding timing and magnitude of the infancy body mass index (BMI) peak with adiposity and metabolic biomarkers during adolescence. AIM To examine associations of the infancy BMI peak with anthropometry and cardiometabolic risk during peripuberty. METHODS Among 163 ELEMENT participants, this study estimated age and magnitude of the infancy BMI peak from eight anthropometric measurements from birth-36 months using Newton's Growth Models, an acceleration-based process model. Associations were examined of the infancy milestones with anthropometry and cardiometabolic risk at 8-14 years using linear regression models that accounted for maternal calcium supplementation and age; child's birthweight, sex, and age; and the other infancy milestone. RESULTS Median age at the infancy BMI peak was 9.6 months, and median peak BMI was 16.5 kg/m2. Later age and larger magnitude of the peak predicted higher BMI z-score, waist circumference, and skinfold thicknesses; i.e. each 1 month of age at peak and each 1 kg/m2 of peak BMI corresponded with 0.04 (0.01-0.07) and 0.33 (0.17-0.48) units of higher BMI z-score, respectively. Later age at peak was also a determinant of worse glycaemia and higher blood pressure. CONCLUSION Later age and larger magnitude of the infancy BMI peak are associated with higher adiposity at 8-14 years of age. Later age but not magnitude of the BMI peak are related to a worse cardiometabolic profile during peripuberty.
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Affiliation(s)
- Wei Perng
- a Department of Nutritional Sciences , University of Michigan School of Public Health , Ann Arbor , MI , USA.,b Department of Epidemiology , University of Michigan School of Public Health , Ann Arbor , MI , USA
| | - Jonggyu Baek
- c Department of Biostatistics , University of Michigan School of Public Health , Ann Arbor , MI , USA
| | - Christina W Zhou
- c Department of Biostatistics , University of Michigan School of Public Health , Ann Arbor , MI , USA
| | - Alejandra Cantoral
- d Center for Nutrition and Health Research , National Institute of Public Health , Mexico City , Mexico.,e CONACYT, National Institute of Public Health , Center for Research on Nutrition and Health , Mexico City , Mexico
| | - Maria Martha Tellez-Rojo
- d Center for Nutrition and Health Research , National Institute of Public Health , Mexico City , Mexico
| | - Peter X K Song
- c Department of Biostatistics , University of Michigan School of Public Health , Ann Arbor , MI , USA
| | - Karen E Peterson
- a Department of Nutritional Sciences , University of Michigan School of Public Health , Ann Arbor , MI , USA
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21
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Sprake EF, Russell JM, Cecil JE, Cooper RJ, Grabowski P, Pourshahidi LK, Barker ME. Dietary patterns of university students in the UK: a cross-sectional study. Nutr J 2018; 17:90. [PMID: 30290816 PMCID: PMC6172790 DOI: 10.1186/s12937-018-0398-y] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 09/24/2018] [Indexed: 11/10/2022] Open
Abstract
Background University represents a key transition into adulthood for many adolescents but there are associated concerns about health and behaviours. One important aspect relates to diet and there is emerging evidence that university students may consume poor quality diets, with potential implications for body weight and long-term health. This research aimed to characterise dietary patterns of university students in the UK and their sociodemographic and lifestyle antecedents. Methods An online, cross-sectional survey was undertaken with a convenience sample of 1448 university students from five UK universities (King’s College London, Universities of St Andrews, Southampton and Sheffield, and Ulster University). The survey comprised a validated food frequency questionnaire alongside lifestyle and sociodemographic questions. Dietary patterns were generated from food frequency intake data using principal components analysis. Nutrient intakes were estimated to characterise the nutrient profile of each dietary pattern. Associations with sociodemographic variables were assessed through general linear modelling. Results Dietary analyses revealed four major dietary patterns: ‘vegetarian’; ‘snacking’; ‘health-conscious’; and ‘convenience, red meat & alcohol’. The ‘health-conscious’ pattern had the most favourable micronutrient profile. Students’ gender, age, year of study, geographical location and cooking ability were associated with differences in pattern behaviour. Female students favoured the ‘vegetarian’ pattern, whilst male students preferred the ‘convenience, red meat & alcohol’ pattern. Less healthful dietary patterns were positively associated with lifestyle risk factors such as smoking, low physical activity and take-away consumption. The health-conscious pattern had greatest nutrient density. The ‘convenience, red meat & alcohol’ pattern was associated with higher weekly food spending; this pattern was also identified most consistently across universities. Students reporting greater cooking ability tended towards the ‘vegetarian’ and ‘health-conscious’ patterns. Conclusions Food intake varied amongst university students. A substantial proportion of students followed health-promoting diets, which had good nutrient profiles obviating a need for dietary intervention. However, some students consumed poor diets, incurred greater food costs and practised unfavourable lifestyle behaviours, which may have long-term health effects. University policy to improve students’ diets should incorporate efforts to promote student engagement in cooking and food preparation, and increased availability of low cost healthier food items. Electronic supplementary material The online version of this article (10.1186/s12937-018-0398-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- E F Sprake
- Human Nutrition Unit, Department of Oncology & Metabolism, The Medical School, University of Sheffield, Sheffield, S10 2RX, UK
| | - J M Russell
- Corporate Information & Computing Service, University of Sheffield, Sheffield, S10 2GU, UK
| | - J E Cecil
- Medical & Biological Sciences Building, University of St Andrews, St Andrews, KY16 9TF, UK
| | - R J Cooper
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - P Grabowski
- Human Nutrition Unit, Department of Oncology & Metabolism, The Medical School, University of Sheffield, Sheffield, S10 2RX, UK
| | - L K Pourshahidi
- Nutrition Innovation Centre for Food & Health (NICHE), Ulster University, Coleraine, BT52 1SA, UK
| | - M E Barker
- Food & Nutrition Group, Business School, Sheffield Hallam University, Sheffield, S1 1WB, UK.
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22
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Landry MJ, Khazaee E, Markowitz AK, Vandyousefi S, Ghaddar R, Pilles K, Asigbee FM, Gatto NM, Davis JN. Impact of food security on glycemic control among low-income primarily Hispanic/Latino children in Los Angeles, California: A cross-sectional study. JOURNAL OF HUNGER & ENVIRONMENTAL NUTRITION 2018; 14:709-724. [PMID: 31749895 DOI: 10.1080/19320248.2018.1491367] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Studies examining the impact of food insecurity on metabolic markers are limited, specifically in Hispanic youth. This study was a cross-sectional analysis of 218 3rd-5th grade students (83% Hispanic and 49% male). Anthropometrics, blood glucose, insulin, and lipids via fasting blood draw, dietary intake via Block screener, and a 5-item food security scale were collected. HOMA-Insulin Resistance was calculated. Multivariate analyses of covariance were used to examine differences in glucose and insulin indices, adiposity, metabolic and dietary intake variables between categories of food security. Food secure children had greater glycemic control and decreased insulin resistance compared to food insecure children.
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Affiliation(s)
- M J Landry
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX
| | - E Khazaee
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX
| | - A K Markowitz
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX
| | - S Vandyousefi
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX
| | - R Ghaddar
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX
| | - K Pilles
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX
| | - F M Asigbee
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX
| | - N M Gatto
- School of Community and Global Health, Claremont Graduate University, Claremont, CA
| | - J N Davis
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX
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23
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Early Infant Feeding of Formula or Solid Foods and Risk of Childhood Overweight or Obesity in a Socioeconomically Disadvantaged Region of Australia: A Longitudinal Cohort Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15081685. [PMID: 30087304 PMCID: PMC6121544 DOI: 10.3390/ijerph15081685] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 07/15/2018] [Accepted: 07/21/2018] [Indexed: 12/12/2022]
Abstract
In southwestern Sydney the timing of introduction of formula and solids may be associated with risk of childhood overweight or obesity, and this may vary by age at breastfeeding cessation during first year. We included 346 infants from southwestern Sydney using the longitudinal study for Australian children (LSAC), who at baseline were singleton, full term, and normal weight births. The outcome risk of overweight or obesity was measured at every two-year interval of children aged 0 or 1 year at baseline until they reached age 10 or 11, defined by body mass index (BMI) ≥ 85th percentile, using the Centre for Disease Control and Prevention growth charts. Age at introduction to formula or solids was dichotomized at four months. We used mixed effects logistic regression for performing all analyses with and without adjusting for mother’s BMI, age during pregnancy, and social disadvantage index. Missing data were estimated using multivariate normal imputation having 25 imputations. The odds of overweight or obesity were significantly higher among infants introduced to formula or solids at ≤4 months compared to those introduced at >4 months in both unadjusted (odds ratio = 2.3262, p = 0.023) and adjusted (odds ratio = 1.9543, p = 0.0475) analyses. The odds of overweight or obesity when age at formula or solids introduction was held fixed at ≤4 months, increased significantly (odds ratio = 2.0856, p = 0.0215) for children stopping breastfeeding at age ≤4 months compared to >4 months. Thus, increasing the prevalence of breast-feeding without any formula or solids to 4–6 months in southwest Sydney should be a worthwhile public health measure.
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24
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Halasi S, Lepeš J, Đorđić V, Stevanović D, Ihász F, Jakšić D, Živković-Vuković A, Cvetković M, Milić Z, Stajer A, Zrnzević N, Marinković D. Relationship between obesity and health-related quality of life in children aged 7-8 years. Health Qual Life Outcomes 2018; 16:149. [PMID: 30055623 PMCID: PMC6064135 DOI: 10.1186/s12955-018-0974-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Accepted: 07/11/2018] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND The dramatic increase in the prevalence of obesity in developed and developing countries has become a major health care concern. Accordingly, there is growing recognition of the relationship between health-related quality of life (HRQOL) and obesity in the pediatric population. This study aimed to explore the relationship between HRQOL and different indicators of obesity in children aged 7-8 years. METHOD In total, 182 children participated in this study (mean age 7.71 (0.29) years, 48.91% girls). To assess obesity, an InBody 230 analyzer was used to calculate body mass index (BMI) and body fat percentage (BFP). The proxy version of the KIDSCREEN-27 questionnaire was used to assess HRQOL. RESULTS Among boys, 17.2% were overweight and 4.3% were obese according to BMI, while in terms of body fat percentage (BFP), the corresponding percentages were 12.9 and 9.7%, respectively. Among girls, the prevalence of overweight and obesity was 11.2 and 9.0% by BMI and 10.1 and 7.9% in terms of BFP, respectively. The analysis of BFP showed a significantly higher score in normal weight boys than in obese boys in the Social Support & Peers domains (KW H-test = 10.472, p = 0.03), while in girls, there were no significant differences between weight categories and any HRQOL dimensions. CONCLUSION Obesity at 7-8 years of age could negatively affect some HRQOL domains; in particular, obese boys may have low social support and peer functioning.
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Affiliation(s)
- Szabolcs Halasi
- Hungarian Language Teacher Training Faculty, University of Novi Sad, Strossmayer str. 11, Subotica, 24000, Serbia.
| | - Josip Lepeš
- Hungarian Language Teacher Training Faculty, University of Novi Sad, Strossmayer str. 11, Subotica, 24000, Serbia
| | - Višnja Đorđić
- Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia
| | - Dejan Stevanović
- Clinic for Neurology and Psychiatry for Children and Youth, Belgrade, Serbia
| | - Ferenc Ihász
- Faculty of Education and Psychology, Eötvös Lóránd University, Budapest, Hungary
| | - Damjan Jakšić
- Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia
| | | | - Milan Cvetković
- Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia
| | - Zoran Milić
- Vocational School for Training Preschool Teachers and Sports Trainers, Subotica, Serbia
| | - Anita Stajer
- Hungarian Language Teacher Training Faculty, University of Novi Sad, Strossmayer str. 11, Subotica, 24000, Serbia
| | - Nevenka Zrnzević
- Teacher Training Faculty, University of Priština-Kosovska Mitrovica, Leposavić, Serbia
| | - Dragan Marinković
- Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia
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25
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Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review. Public Health Nutr 2018; 21:3135-3147. [PMID: 29996950 DOI: 10.1017/s1368980018001684] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To determine the global availability of a multicomponent tool predicting overweight/obesity in infancy, childhood, adolescence or adulthood; and to compare their predictive validity and clinical relevance.Design/SettingThe PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. The databases PubMed, EMBASE, CINAHL, Web of Science and PsycINFO were searched. Additional articles were identified via reference lists of included articles. Risk of bias was assessed using the Academy of Nutrition and Dietetics' Quality Criteria Checklist. The National Health and Medical Research Council's Levels of Evidence hierarchy was used to assess quality of evidence. Predictive performance was evaluated using the ABCD framework. SUBJECTS Eligible studies: tool could be administered at any life stage; quantified the risk of overweight/obesity onset; used more than one predictor variable; and reported appropriate prediction statistical outcomes. RESULTS Of the initial 4490 articles identified, twelve articles (describing twelve tools) were included. Most tools aimed to predict overweight and/or obesity within childhood (age 2-12 years). Predictive accuracy of tools was consistently adequate; however, the predictive validity of most tools was questioned secondary to poor methodology and statistical reporting. Globally, five tools were developed for dissemination into clinical practice, but no tools were tested within a clinical setting. CONCLUSIONS To our knowledge, a clinically relevant and highly predictive overweight/obesity prediction tool is yet to be developed. Clinicians can, however, act now to identify the strongest predictors of future overweight/obesity. Further research is necessary to optimise the predictive strength and clinical applicability of such a tool.
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26
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27
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Sigmund E, Sigmundová D, Badura P, Madarasová Gecková A. Health-related parental indicators and their association with healthy weight and overweight/obese children's physical activity. BMC Public Health 2018; 18:676. [PMID: 29855285 PMCID: PMC5984306 DOI: 10.1186/s12889-018-5582-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 05/22/2018] [Indexed: 11/10/2022] Open
Abstract
Background Although it is accepted that parents play a key role in forming children’s health behaviours, differences in parent-child physical activity (PA) have not previously been analysed simultaneously in random samples of families with non-overweight and overweight to obese preschool and school-aged children. This study answers the question which of the health-related parental indicators (daily step count (SC), screen time (ST), and weight status and participation in organized leisure-time PA) help their children achieve the step count recommendations. Methods A nationally representative sample comprising 834 families including 1564 parent-child dyads who wore the Yamax Digiwalker SW-200 pedometer for at least 8 h a day on at least four weekdays and both weekend days and completed a family log book (anthropometric parameters, SC, and ST). Logistic regression analyses were used to investigate whether parental achievement of the daily SC recommendation (10,000 SC/day), non-excessive ST (< 2 h/day), weight status, and active participation in organized PA were associated with children’s achievement of their daily SC (11,500 SC/day for pre-schoolers and 13,000/11,000 SC/day for school-aged boys/girls). Results While living in a family with non-overweight parents helps children achieve the daily SC recommendation (mothers in the model: OR = 3.50, 95% CI = 2.29–5.34, p < 0.001; fathers in the model: OR = 2.41, 95% CI = 1.37–4.26, p < 0.01) regardless of their age category, gender, or ST, for families with overweight/obese children, only the mother’s achievement of the SC recommendations and non-excessive ST significantly (p < 0.05) increase the odds of their children reaching the daily SC recommendation. The active participation of children in organized leisure-time PA increases the odds of all children achieving the daily SC recommendations (OR = 1.80–2.85); however, for overweight/obese children this remains non-significant. The participation of parents in organized leisure-time PA does not have a significant relationship to the odds of their overweight/obese or non-overweight children achieving the daily SC recommendations. Conclusions The mother’s health-related behaviours (PA and ST) significantly affect the level of PA of overweight/obese preschool and school-aged children. PA enhancement programmes for overweight/obese children cannot rely solely on the active participation of children in organized leisure-time PA; they also need to take other family-based PA, especially at weekends, into account.
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Affiliation(s)
- E Sigmund
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 117, 77111, Olomouc, Czech Republic.
| | - D Sigmundová
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 117, 77111, Olomouc, Czech Republic
| | - P Badura
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 117, 77111, Olomouc, Czech Republic
| | - A Madarasová Gecková
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 117, 77111, Olomouc, Czech Republic.,Department of Health Psychology, Faculty of Physical Culture, Safarik University, Košice, Slovakia.,Graduate School, Košice Institute for Society and Health, Safarik University, Košice, Slovakia
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28
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Hoffmann DA, Marx JM, Burmeister JM, Musher-Eizenman DR. Friday Night Is Pizza Night: A Comparison of Children's Dietary Intake and Maternal Perceptions and Feeding Goals on Weekdays and Weekends. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E720. [PMID: 29641480 PMCID: PMC5923762 DOI: 10.3390/ijerph15040720] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 03/27/2018] [Accepted: 04/09/2018] [Indexed: 02/07/2023]
Abstract
Childhood obesity is a serious issue in the U.S. While obesity is the result of a multitude of factors, a great deal of research has focused on children's dietary intake. While children's eating patterns vary throughout the week, not much else is known about weekday-weekend differences. Therefore, the current study examined differences in the frequency and portion size of school-age children's consumption of common foods and beverages, as well as mothers' perceptions of those items and their child feeding goals, on weekdays and weekends. A total of 192 mothers of children aged 7 to 11 were recruited through Amazon's Mechanical Turk. Results showed a consistent pattern of more frequent consumption and larger portions of unhealthy foods and beverages on weekends. This aligned with mothers' perceptions of those foods and beverages as weekend items, as well as their feeding goals of health and price being less important on weekends. It is quite possible that weekends are viewed as having less structure and facilitate schedules that allow children to consume more meals away from home. These findings shed light on additional risk factors in children's eating patterns and highlight the serious implications that day of the week can have on childhood obesity.
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Affiliation(s)
- Debra A Hoffmann
- Department of Psychology, Bowling Green State University, Bowling Green, OH 43403, USA.
| | - Jenna M Marx
- Department of Psychology, Bowling Green State University, Bowling Green, OH 43403, USA.
| | - Jacob M Burmeister
- Department of Psychology, University of Findlay, Findlay, OH 45840, USA.
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29
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Leischner K, McCormack LA, Britt BC, Heiberger G, Kattelmann K. The Healthfulness of Entrées and Students' Purchases in a University Campus Dining Environment. Healthcare (Basel) 2018; 6:healthcare6020028. [PMID: 29565273 PMCID: PMC6023427 DOI: 10.3390/healthcare6020028] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 03/19/2018] [Accepted: 03/21/2018] [Indexed: 11/17/2022] Open
Abstract
The purpose of this study is to determine the availability of “more healthful” (MH) versus “less healthful” (LH) entrée items in the campus dining and if students’ purchases are reflective of what is offered. This is an observational study in which purchases of the available entrée items in the campus dining at South Dakota State University in one academic year were collected and categorized as either MH or LH according to the American Heart Association guidelines. Chi-square tests were used to determine the differences between the proportion of purchased MH and LH versus those available. Odds ratio estimates with 95% confidence limits were used to determine the associations between the demographics and MH and LH purchases. Of the total entrée items available, 15.0% were MH and 85.0% were LH. In the fall, 8.0% of purchases were MH and 92.0% purchases were LH as compared to 8.9% MH and 91.1% LH in the spring. Whites were less likely than non-whites to purchase a MH entrée. Females were two times more likely to choose MH entrées than males. The campus dining offerings and students’ purchases of entrees were primarily LH. Work with campus dining providers to create profitable, yet healthful, dining entrees is needed to improve the healthfulness of offerings.
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Affiliation(s)
- Krista Leischner
- Health & Nutritional Sciences Department, South Dakota State University, Brookings, SD 57007, USA.
| | - Lacey Arneson McCormack
- Health & Nutritional Sciences Department, South Dakota State University, Brookings, SD 57007, USA.
| | - Brian C Britt
- Journalism & Mass Communications Department, South Dakota State University, Brookings, SD 57007, USA.
| | - Greg Heiberger
- Biology & Microbiology, South Dakota State University, Brookings, SD 57007, USA.
| | - Kendra Kattelmann
- Health & Nutritional Sciences Department, South Dakota State University, Brookings, SD 57007, USA.
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30
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Buscot MJ, Thomson RJ, Juonala M, Sabin MA, Burgner DP, Lehtimäki T, Hutri-Kähönen N, Viikari JSA, Jokinen E, Tossavainen P, Laitinen T, Raitakari OT, Magnussen CG. BMI Trajectories Associated With Resolution of Elevated Youth BMI and Incident Adult Obesity. Pediatrics 2018; 141:peds.2017-2003. [PMID: 29259077 DOI: 10.1542/peds.2017-2003] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/06/2017] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Youth with high BMI who become nonobese adults have the same cardiovascular risk factor burden as those who were never obese. However, the early-life BMI trajectories for overweight or obese youth who avoid becoming obese adults have not been described. We aimed to determine and compare the young-childhood BMI trajectories of participants according to their BMI status in youth and adulthood. METHODS Bayesian hierarchical piecewise regression modeling was used to analyze the BMI trajectories of 2717 young adults who had up to 8 measures of BMI from childhood (ages 3-18 years) to adulthood (ages 34-49 years). RESULTS Compared with those with persistently high BMI, those who resolved their high youth BMI by adulthood had lower average BMI at age 6 years and slower rates of BMI change from young childhood. In addition, their BMI levels started to plateau at 16 years old for females and 21 years old for males, whereas the BMI of those whose high BMI persisted did not stabilize until 25 years old for male subjects and 27 years for female subjects. Compared with those youth who were not overweight or obese and who remained nonobese in adulthood, those who developed obesity had a higher BMI rate of change from 6 years old, and their BMI continued to increase linearly until age 30 years. CONCLUSIONS Efforts to alter BMI trajectories for adult obesity should ideally commence before age 6 years. The natural resolution of high BMI starts in adolescence for males and early adulthood for females, suggesting a critical window for secondary prevention.
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Affiliation(s)
- Marie-Jeanne Buscot
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia;
| | - Russell J Thomson
- Centre for Research in Mathematics, School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, New South Wales, Australia
| | - Markus Juonala
- Research Centre of Applied and Preventive Cardiovascular Medicine and.,Departments of Medicine and.,Division of Medicine, Turku University Hospital, Turku, Finland
| | - Matthew A Sabin
- Murdoch Childrens Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - David P Burgner
- Murdoch Childrens Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia.,Department of Paediatrics, Monash Medical Centre, Clayton, Victoria, Australia
| | - Terho Lehtimäki
- Fimlab Laboratories Ltd, Tampere, Finland.,Departments of Clinical Chemistry and
| | - Nina Hutri-Kähönen
- Pediatrics, Faculty of Medicine and Life Sciences, University of Tampere and Tampere University Hospital, Tampere, Finland
| | | | - Eero Jokinen
- Department of Pediatric Cardiology, Hospital for Children and Adolescents and University of Helsinki, Helsinki, Finland
| | - Paivi Tossavainen
- Department of Pediatrics, PEDEGO Research Unit and Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland; and
| | - Tomi Laitinen
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine and.,Division of Medicine, Turku University Hospital, Turku, Finland.,Clinical Physiology and Nuclear Medicine, University of Turku, Turku, Finland
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Research Centre of Applied and Preventive Cardiovascular Medicine and
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31
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Goldschmidt AB, Wall MM, Choo THJ, Evans EW, Jelalian E, Larson N, Neumark-Sztainer D. Fifteen-year Weight and Disordered Eating Patterns Among Community-based Adolescents. Am J Prev Med 2018; 54:e21-e29. [PMID: 29132950 PMCID: PMC5736404 DOI: 10.1016/j.amepre.2017.09.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 08/24/2017] [Accepted: 09/07/2017] [Indexed: 11/25/2022]
Abstract
INTRODUCTION The current study aims to characterize weight-change trajectories and their concomitant associations with prospectively measured dieting and other disordered eating behaviors among initially nonoverweight adolescents during the transition to adulthood. METHODS A population-based sample (n=1,091) self-reported their height/weight, dieting, unhealthy weight-control behaviors, and binge eating at 5-year intervals between 1998/1999 and 2013/2014, spanning early/middle adolescence through middle/late young adulthood. Data were analyzed in 2016/2017. RESULTS Groups were categorized as those who were never overweight (n=562), were overweight during at least one measurement point and gained weight more rapidly (n=246) or gradually (n=238) than their peers, or were overweight during at least one measurement point but returned to nonoverweight status by middle/late young adulthood (n=45). Thus, nearly half of adolescents became overweight during the transition to adulthood. Those who were never overweight had the lowest rates of dieting (males: F[9, 1,314]=2.54, p=0.0069, females: F[9, 1,927]=3.02, p=0.0014) and unhealthy weight-control behaviors (males: F[9, 1,313]=3.30, p=0.0005, females: F[9, 1,927]=3.02, p=0.0014), whereas some of these behaviors tended to track with weight gain in rapid and gradual weight gainers. CONCLUSIONS Although adolescents who are already overweight are most frequently targeted for weight-gain prevention and early intervention programs, results suggest that healthy lifestyle interventions could also benefit individuals who may be perceived as low risk for overweight in adulthood by nature of being nonoverweight in adolescence. Dieting and unhealthy weight-control behaviors tended to be associated with weight gain, suggesting that they are ineffective in addition to being potentially harmful.
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Affiliation(s)
- Andrea B Goldschmidt
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, Rhode Island.
| | - Melanie M Wall
- Department of Biostatistics, Columbia University, New York, New York
| | - Tse-Hwei J Choo
- Department of Biostatistics, Columbia University, New York, New York
| | - E Whitney Evans
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, Rhode Island
| | - Elissa Jelalian
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, Rhode Island
| | - Nicole Larson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Dianne Neumark-Sztainer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
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32
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Hidayat K, Yang CM, Shi BM. Body fatness at an early age and risk of colorectal cancer. Int J Cancer 2017; 142:729-740. [PMID: 29023686 DOI: 10.1002/ijc.31100] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 09/28/2017] [Accepted: 09/29/2017] [Indexed: 12/28/2022]
Abstract
While there is convincing evidence that excess body fatness in adulthood is positively associated with colorectal cancer risk, the association between body fatness at an early age (≤30 years) and the risk of colorectal cancer has been equivocal. The present meta-analysis was performed to clarify this association. PubMed and Web of Science databases were searched for relevant studies that investigated this association. The risk estimates from each study were transformed into a continuous variable for each 5 kg/m2 increase in body mass index (BMI). A random effects model was used to calculate the summary relative risks (RRs) with 95% confidence intervals (CIs). A total of 15 observational studies (13 cohort studies and two case-control studies) were included in this meta-analysis. Each 5 kg/m2 increase in BMI was significantly associated with a 13% (RR 1.13, 95% CI 1.08, 1.19), 17% (RR 1.17, 95% CI 1.09, 1.25) and 8% (RR 1.08, 95% CI 1.04, 1.11) higher risk of colorectal cancer overall, in men, and in women, respectively. Substantial heterogeneity was observed across studies. Based on the anatomic subsite, each 5 kg/m2 increase in BMI was significantly associated with a 14% (RR 1.14, 95% CI 1.07, 1.22) higher risk of colon cancer, whereas no association (RR 1.03, 95% CI 0.95, 1.13) was observed with rectal cancer. In summary, body fatness at an early age may affect colon cancer risk later in life. Prevention of overweight and obesity in young individuals should be emphasized to prevent early-onset colon cancer attributed to excess body fatness.
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Affiliation(s)
- Khemayanto Hidayat
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Chun-Mei Yang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Bi-Min Shi
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
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Dinkel D, Tibbits M, Hanigan E, Nielsen K, Jorgensen L, Grant K. Healthy Families: A Family-Based Community Intervention To Address Childhood Obesity. J Community Health Nurs 2017; 34:190-202. [PMID: 29023158 DOI: 10.1080/07370016.2017.1369808] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The objective of this study was to determine the effectiveness of Healthy Families, a family-based community intervention, in improving the knowledge, self-efficacy, and health behaviors of overweight/obese children and their families as well as to explore the lessons learned. Results showed families who completed the program had significant improvements for children and parents in areas such as nutrition knowledge and self-efficacy in making healthy eating choices as well as participating in physical activity. Additionally, families reported decreasing their intake of sugar-sweetened beverages. Participating families and community partners provided valuable lessons for other communities seeking to implement a similar program.
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Affiliation(s)
- Danae Dinkel
- a School of Health and Kinesiology , University of Nebraska at Omaha , Omaha , Nebraska
| | - Melissa Tibbits
- b Department of Health Promotion, Social & Behavioral Health , University of Nebraska Medical Center College of Public Health , Omaha , Nebraska
| | - Emily Hanigan
- c UNMC School of Allied Health, Physician Assistant Studies , University of Nebraska Medical Center , Omaha , Nebraska
| | - Kelly Nielsen
- d Healthier Communities and Community Benefit , CHI Health (Catholic Health Initiatives) , Omaha , Nebraska
| | - Leah Jorgensen
- e OneWorld Community Health Center , Omaha , Nebraska.,f Office of Health Professions Education , Nebraska Medicine , Omaha , Nebraska
| | - Kay Grant
- e OneWorld Community Health Center , Omaha , Nebraska.,f Office of Health Professions Education , Nebraska Medicine , Omaha , Nebraska
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Barbour-Tuck E, Erlandson M, Muhajarine N, Foulds H, Baxter-Jones A. Longitudinal patterns in BMI and percent total body fat from peak height velocity through emerging adulthood into young adulthood. Am J Hum Biol 2017; 30. [PMID: 28901657 DOI: 10.1002/ajhb.23056] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 08/17/2017] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES Emerging adulthood, a potential critical period, is an understudied period of fat mass accrual. The aim of this study was to describe patterns of fat mass accrual, and weight status, from adolescence, through emerging adulthood, into young adulthood. METHODS One-hundred-eighteen participants (59 male) were measured repeatedly for 20 years. Annual measures of height, weight, and body composition (DXA) were taken. Calculated measures included: peak height velocity (PHV), biological age (BA; years from PHV), body mass index (BMI), and percent total body fat (%TBF). Weight status groupings (normal NW, and overweight/obese OWO) were created using age and sex specific BMI and %TBF cut-offs. Analysis included t-tests and logistic regression. RESULTS BMI and %TBF increased significantly until 8 years post PHV (P < .05), plateaued for 7 years (P > .05), and then began increasing again (P < .05). At PHV, 9% of males and 14% of females were OWO rising to 65% and 32% respectively 15 years post PHV. OWO status at PHV did not predict OWO status in early adulthood (P > .05). CONCLUSIONS During emerging adulthood, the prevalence of OWO increased. Being NW at PHV was not protective against being overweight in young adulthood. Emerging adulthood appears to be a potential critical period for fat accrual and warrants further attention.
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Affiliation(s)
- Erin Barbour-Tuck
- College of Kinesiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Marta Erlandson
- College of Kinesiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Nazeem Muhajarine
- Department of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Heather Foulds
- College of Kinesiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Adam Baxter-Jones
- College of Kinesiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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35
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Brown DM, Barbara A, Cohen AK, Rehkopf DH. Motherhood, Fatherhood and Midlife Weight Gain in a US Cohort: Associations differ by race/ethnicity and socioeconomic position. SSM Popul Health 2017; 3:558-565. [PMID: 29204513 PMCID: PMC5711467 DOI: 10.1016/j.ssmph.2017.06.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
While there is an association of greater short-term weight gain with childbearing among women, less is known about longer-term weight gain, whether men have similar gains, and how this varies by race/ethnicity and socioeconomic position. Our cohort consisted of a nationally representative sample of 7356 Americans with oversampling of Black and Hispanic populations. We estimated the associations between number of biological children and parental weight, measured as both change in self-reported body mass index (BMI) from age 18 and overweight/obese status (BMI ≥ 25) at age 40. We performed multivariate linear and logistic regression analysis and tested for effect modification by gender. For change in BMI, men gained on average 0.28 BMI (95% CI: (0.01, 0.55)) units per child, while women gained 0.13 units per child (95% CI: (-0.22, 0.48)). The adjusted odds ratios for overweight/obesity associated with each child were 1.32 (95% CI: (1.11, 1.58)) for men and 1.15 (95% CI: (1.01, 1.31)) for women. Stratified analyses by race/ethnicity and socioeconomic position suggested that the observed full-cohort differences were driven primarily by gendered differences in low-income Hispanics and Whites – with the greatest associations among Hispanic men. For example, among low-income Hispanic men we observed a positive relationship between the number of children and weight change by age 40, with average weight change of 0.47 units per child (95%CI: (-0.65, 1.59 For low-income Hispanic women, however, the average weight change was -0.59 units per child (95%CI: (-1.70, 0.47), and the P-value for the test of interaction between gender and number of children was P < 0.001. Our findings suggest that the shared social and economic aspects of raising children play an important role in determining parental weight at mid-life. Researchers have seen associations between having a child and short term weight gain. We examined the relationship of having children with long term weight gain by gender. We did not observe any evidence that women tended to gain more weight than men. In some subcohorts, we observed stronger associations among men than women. Hispanics of lower socioeconomic position had the strongest gendered difference.
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Affiliation(s)
- Daniel M Brown
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, United States of America
| | - Abrams Barbara
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, United States of America
| | - Alison K Cohen
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, United States of America
| | - David H Rehkopf
- Division of General Medical Disciplines, Stanford University School of Medicine, Stanford, CA, United States of America
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Buscot MJ, Wotherspoon SS, Magnussen CG, Juonala M, Sabin MA, Burgner DP, Lehtimäki T, Viikari JSA, Hutri-Kähönen N, Raitakari OT, Thomson RJ. Bayesian hierarchical piecewise regression models: a tool to detect trajectory divergence between groups in long-term observational studies. BMC Med Res Methodol 2017; 17:86. [PMID: 28587592 PMCID: PMC5461770 DOI: 10.1186/s12874-017-0358-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 05/10/2017] [Indexed: 01/17/2023] Open
Abstract
Background Bayesian hierarchical piecewise regression (BHPR) modeling has not been previously formulated to detect and characterise the mechanism of trajectory divergence between groups of participants that have longitudinal responses with distinct developmental phases. These models are useful when participants in a prospective cohort study are grouped according to a distal dichotomous health outcome. Indeed, a refined understanding of how deleterious risk factor profiles develop across the life-course may help inform early-life interventions. Previous techniques to determine between-group differences in risk factors at each age may result in biased estimate of the age at divergence. Methods We demonstrate the use of Bayesian hierarchical piecewise regression (BHPR) to generate a point estimate and credible interval for the age at which trajectories diverge between groups for continuous outcome measures that exhibit non-linear within-person response profiles over time. We illustrate our approach by modeling the divergence in childhood-to-adulthood body mass index (BMI) trajectories between two groups of adults with/without type 2 diabetes mellitus (T2DM) in the Cardiovascular Risk in Young Finns Study (YFS). Results Using the proposed BHPR approach, we estimated the BMI profiles of participants with T2DM diverged from healthy participants at age 16 years for males (95% credible interval (CI):13.5–18 years) and 21 years for females (95% CI: 19.5–23 years). These data suggest that a critical window for weight management intervention in preventing T2DM might exist before the age when BMI growth rate is naturally expected to decrease. Simulation showed that when using pairwise comparison of least-square means from categorical mixed models, smaller sample sizes tended to conclude a later age of divergence. In contrast, the point estimate of the divergence time is not biased by sample size when using the proposed BHPR method. Conclusions BHPR is a powerful analytic tool to model long-term non-linear longitudinal outcomes, enabling the identification of the age at which risk factor trajectories diverge between groups of participants. The method is suitable for the analysis of unbalanced longitudinal data, with only a limited number of repeated measures per participants and where the time-related outcome is typically marked by transitional changes or by distinct phases of change over time. Electronic supplementary material The online version of this article (doi:10.1186/s12874-017-0358-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Marie-Jeanne Buscot
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Simon S Wotherspoon
- Institute of Marine and Antarctic Studies, University of Tasmania, Hobart, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Markus Juonala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland
| | - Matthew A Sabin
- Murdoch Childrens Research Institute, The Royal Children's Hospital, Melbourne, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - David P Burgner
- Murdoch Childrens Research Institute, The Royal Children's Hospital, Melbourne, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Australia.,Department of Paediatrics, Monash Medical Centre, Melbourne, Australia
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Ltd and University of Tampere School of Medicine, Tampere, Finland
| | - Jorma S A Viikari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, University of Tampere School of Medicine, Tampere, Finland.,Tampere University Hospital, Tampere, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland
| | - Russell J Thomson
- Centre for Research in Mathematics, School of Computing, Engineering & Mathematics, Western Sydney University, Sydney, Australia.
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37
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Cunningham SA, Datar A, Narayan KMV, Kramer MR. Entrenched obesity in childhood: findings from a national cohort study. Ann Epidemiol 2017. [PMID: 28645567 DOI: 10.1016/j.annepidem.2017.05.016] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
PURPOSE Given the high levels of obesity among U.S. children, we examine whether obesity in childhood is a passing phenomenon or remains entrenched into adolescence. METHODS Data are from the prospective nationally representative Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (analytic sample = 6600). Anthropometrics were measured six times during 1998-2007. Overweight and obesity were defined using CDC cut-points. Entrenched obesity was defined as obesity between ages 5-9 coupled with persistent obesity at ages 11 and 14. RESULTS Almost 30% of children experienced obesity at some point between ages 5.6 and 14.1 years; 63% of children who ever had obesity between ages 5.6 and 9.1 and 72% of those who had obesity at kindergarten entry experienced entrenched obesity. Children with severe obesity in kindergarten or who had obesity at more than 1 year during early elementary were very likely to experience obesity through age 14, regardless of their sex, race, or socioeconomic backgrounds. CONCLUSIONS Prevention should focus on early childhood, as obesity at school entry is not often a passing phenomenon. Even one timepoint of obesity measured during the early elementary school years may be an indicator of risk for long-term obesity.
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Affiliation(s)
| | - Ashlesha Datar
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA
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38
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Stea TH, Haugen T, Berntsen S, Guttormsen V, Øverby NC, Haraldstad K, Meland E, Abildsnes E. Using the Intervention Mapping protocol to develop a family-based intervention for improving lifestyle habits among overweight and obese children: study protocol for a quasi-experimental trial. BMC Public Health 2016; 16:1092. [PMID: 27756346 PMCID: PMC5070224 DOI: 10.1186/s12889-016-3766-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2016] [Accepted: 10/12/2016] [Indexed: 12/22/2022] Open
Abstract
Background In light of the high prevalence of childhood overweight and obesity, there is a need of developing effective prevention programs to address the rising prevalence and the concomitant health consequences. The main aim of the present study is to systematically develop and implement a tailored family-based intervention for improving lifestyle habits among overweight and obese children, aged 6–10 years old, enhancing parental self-efficacy, family engagement and parent-child interaction. A subsidiary aim of the intervention study is to reduce the prevalence of overweight and obesity among those participating in the intervention study. Methods/design The Intervention Mapping protocol was used to develop a tailored family-based intervention for improving lifestyle habits among overweight and obese children. In order to gather information on local opportunities and barriers, interviews with key stakeholders and a 1-year pilot study was conducted. The main study has used a quasi-experimental controlled design. Locally based Healthy Life Centers and Public Health Clinics are responsible for recruiting families and conducting the intervention. The effect of the study will be measured both at completion of the 6 months intervention study and 6 and 18 months after the intervention period. An ecological approach was used as a basis for developing the intervention. The behavioral models and educational strategies include individual family counselling meetings, workshops focusing on regulation of family life, nutrition courses, and physical activity groups providing tailored information and practical learning sessions. Parents will be educated on how to use these strategies at home, to further support their children in improving their behaviors. Discussion A systematic and evidence-based approach was used for development of this family-based intervention study targeting overweight and obese children, 6–10 years old. This program, if feasible and effective, may be adjusted to local contexts and implemented in all municipal health care institutions in Norway. Trial registration NCT02247219. Prospectively registered on October 26, 2014.
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Affiliation(s)
- Tonje Holte Stea
- Department of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway.
| | - Tommy Haugen
- Department of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway
| | - Sveinung Berntsen
- Department of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway
| | - Vigdis Guttormsen
- Department of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway
| | - Nina Cecilie Øverby
- Department of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway
| | - Kristin Haraldstad
- Department of Health and Nursing Sciences, University of Agder, Kristiansand, Norway
| | - Eivind Meland
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Eirik Abildsnes
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
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Relationships between childhood growth parameters and adult blood pressure: the Fels Longitudinal Study. J Dev Orig Health Dis 2016; 8:113-122. [PMID: 27628681 DOI: 10.1017/s2040174416000520] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Previous research has shown that childhood body size is associated with blood pressure in adulthood, and that early and rapid growth rates are correlated with adverse cardiovascular outcomes. Our objectives are to estimate associations between childhood body size growth parameters and adult blood pressure, and to examine the effect of early attainment of critical growth milestones on adult blood pressure, relative to normal or late attainment. Lifetime height and body mass index (BMI) measurements in childhood, and systolic blood pressure (SBP) and diastolic blood pressure (DBP) measurements in adulthood are taken from participants in the Fels Longitudinal Study. Childhood growth curves are estimated separately for stature and BMI using the Preece-Baines and third-degree polynomial models, respectively. Associations between the resulting parameter estimates and adult blood pressure are then examined using linear mixed models. Our findings show that the ages of achievement of the stature-based growth onset and peak velocity, as well as the age of achievement of the BMI-based adiposity rebound, are negatively associated with adult blood pressure, implying that early height or BMI growth can lead to increased blood pressure in adulthood. There were subtle differences in these relationships based on age and gender, and also between SBP and DBP. These results expand on the existing literature, showing that not only childhood body size, but also the timing of childhood growth can have a deleterious effect on adult cardiovascular health.
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40
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Golubnitschaja O, Debald M, Yeghiazaryan K, Kuhn W, Pešta M, Costigliola V, Grech G. Breast cancer epidemic in the early twenty-first century: evaluation of risk factors, cumulative questionnaires and recommendations for preventive measures. Tumour Biol 2016; 37:12941-12957. [DOI: 10.1007/s13277-016-5168-x] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 07/12/2016] [Indexed: 01/04/2023] Open
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41
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Sigmund E, Badura P, Vokacova J, Sigmundová D. Parent-Child Relationship of Pedometer-Assessed Physical Activity and Proxy-Reported Screen Time in Czech Families with Preschoolers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13070740. [PMID: 27455293 PMCID: PMC4962281 DOI: 10.3390/ijerph13070740] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2016] [Revised: 07/09/2016] [Accepted: 07/19/2016] [Indexed: 11/24/2022]
Abstract
This study focuses on determining the relationship between parents’ step count (SC) and screen time (ST) and children’s SC and ST on weekdays and at weekends. The participants (278 parents aged 30–45 and their 194 children aged 4–7) were recruited from 10 randomly selected Czech kindergartens. The participants recorded SC and ST duration over a week-long monitoring (≥8 h/day) during September–October 2014 and April–May 2015. The associations between parents’ SC and ST and children’s SC and ST were estimated using general linear regression for weekdays and weekends. Each 2500 SC increase in mothers’/fathers’ daily SC at weekdays (weekends) was associated with an extra 1143/903 (928/753) daily SC in children. Each 60 min of ST increase in mothers’/fathers’ ST at weekdays (weekends) was associated with an extra 7.6/7.6 (16.8/13.0) min of child daily ST. An increase of 2500 mothers’ daily SC was associated with reduction of 2.5 (7.5) min of ST in children at weekdays (weekends). This study reveals a significant relationship between parent-child SC/day, parent-child ST/day, and mothers’ ST and children’s SC at weekends. Weekend days seem to provide a suitable space for the promotion of joint physical activity in parents and their pre-schoolers.
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Affiliation(s)
- Erik Sigmund
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 117, Olomouc 77111, Czech Republic.
| | - Petr Badura
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 117, Olomouc 77111, Czech Republic.
| | - Jana Vokacova
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 117, Olomouc 77111, Czech Republic.
| | - Dagmar Sigmundová
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Tr. Miru 117, Olomouc 77111, Czech Republic.
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Haines J, Rifas-Shiman SL, Horton NJ, Kleinman K, Bauer KW, Davison KK, Walton K, Austin SB, Field AE, Gillman MW. Family functioning and quality of parent-adolescent relationship: cross-sectional associations with adolescent weight-related behaviors and weight status. Int J Behav Nutr Phys Act 2016; 13:68. [PMID: 27301414 PMCID: PMC4908682 DOI: 10.1186/s12966-016-0393-7] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 06/07/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Little is known about how factors within the general family environment are associated with weight and related behaviors among adolescents/young adults. METHODS We studied 3768 females and 2614 males, 14-24 years old in 2011, participating in the Growing Up Today Study 2. We used generalized mixed models to examine cross-sectional associations of family functioning and quality of mother- and father-adolescent relationship with adolescent/young adult weight status, disordered eating, intake of fast food and sugar-sweetened beverages, screen time, physical activity, and sleep duration. In all models, we included participant's age and family structure. RESULTS Eighty percent of participants reported high family functioning and 60% and 50% of participants reported high-quality mother and father relationship, respectively. Among both males and females, high family functioning was associated with lower odds of disordered eating (adjusted odds ratio [AOR] females = 0.53; 95% Confidence Interval [CI] = 0.45-0.63; AOR males = 0.48; CI = 0.39-0.60), insufficient physical activity, i.e., less than 1 h/day, (AOR females = 0.74; CI = 0.61-0.89; AOR males = 0.73; CI = 0.58-0.92), and insufficient sleep, i.e., less than 7 h/day, (AOR females = 0.56; CI = 0.45-0.68; AOR males = 0.65; CI 0.5-0.85). High family functioning was also associated with lower odds of being overweight/obese (AOR = 0.73; CI = 0.60-0.88) and eating fast food one or more times/week (AOR = 0.74; CI = 0.61-0.89) among females only. Among females, high-quality mother and father relationship were both associated with lower odds of being overweight/obese and disordered eating, eating fast food, and insufficient sleep and the magnitude of associations were similar for mother and father relationship quality (AOR range 0.61-0.84). Among males, high-quality mother and father relationship were both associated with lower odds of disordered eating, insufficient physical activity and insufficient sleep, but only father relationship quality was associated with lower odds of overweight/obesity. CONCLUSIONS Adolescents/young adults reporting high family functioning and more positive relationships with their parents reported better weight-related behaviors. For weight status, females appear to be affected equally by the quality of their relationship with both parents, whereas males may be more affected by their relationship with fathers.
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Affiliation(s)
- Jess Haines
- Department of Family Relations and Applied Nutrition, Room 226, Macdonald Stewart Hall, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2 W1, Canada.
| | - Sheryl L Rifas-Shiman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
| | - Nicholas J Horton
- Department of Mathematics and Statistics, Amherst College, Amherst, USA
| | - Ken Kleinman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst School of Public Health and Health Sciences, Amherst, USA
| | - Katherine W Bauer
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, USA
| | - Kirsten K Davison
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Kathryn Walton
- Department of Family Relations and Applied Nutrition, Room 226, Macdonald Stewart Hall, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2 W1, Canada
| | - S Bryn Austin
- Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Alison E Field
- Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Matthew W Gillman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
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Racil G, Coquart JB, Elmontassar W, Haddad M, Goebel R, Chaouachi A, Amri M, Chamari K. Greater effects of high- compared with moderate-intensity interval training on cardio-metabolic variables, blood leptin concentration and ratings of perceived exertion in obese adolescent females. Biol Sport 2016; 33:145-52. [PMID: 27274107 PMCID: PMC4885625 DOI: 10.5604/20831862.1198633] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Revised: 10/08/2015] [Accepted: 12/02/2015] [Indexed: 02/06/2023] Open
Abstract
This study examined the effects of high- vs. moderate-intensity interval training on cardiovascular fitness, leptin levels and ratings of perceived exertion (RPE) in obese female adolescents. Forty-seven participants were randomly assigned to one of three groups receiving either a 1:1 ratio of 15 s of effort comprising moderate-intensity interval training (MIIT at 80% maximal aerobic speed: MAS) or high-intensity interval training (HIIT at 100% MAS), with matched 15 s recovery at 50% MAS, thrice weekly, or a no-training control group. The HIIT and MIIT groups showed improved (p < 0.05) body mass (BM), BMI Z-score, and percentage of body fat (%BF). Only the HIIT group showed decreased waist circumference (WC) (p = 0.017). The effect of exercise on maximal oxygen uptake (VO2max) was significant (p = 0.019, ES = 0.48 and p = 0.010, ES = 0.57, HIIT and MIIT, respectively). The decrease of rate-pressure product (RPP) (p < 0.05, ES = 0.53 and ES = 0.46, HIIT and MIIT, respectively) followed the positive changes in resting heart rate and blood pressures. Blood glucose, insulin level and the homeostasis model assessment index for insulin decreased (p < 0.05) in both training groups. Significant decreases occurred in blood leptin (p = 0.021, ES = 0.67 and p = 0.011, ES = 0.73) and in RPE (p = 0.001, ES = 0.76 and p = 0.017, ES = 0.57) in HIIT and MIIT, respectively. In the post-intervention period, blood leptin was strongly associated with %BF (p < 0.001) and VO2max (p < 0.01) in the HIIT and MIIT groups, respectively, while RPE was strongly associated with BM (p < 0.01) in the HIIT group. The results suggest that high-intensity interval training may produce more positive effects on health determinants in comparison with the same training mode at a moderate intensity.
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Affiliation(s)
- G Racil
- Department of Biological Sciences, Faculty of Science of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - J B Coquart
- CETAPS, Faculty of Sport Sciences, University of Rouen, Mont Saint Aignan, France
| | - W Elmontassar
- Laboratory of Biomechanics and Biomaterials Research Applied to Orthopedics, National Institute of Orthopedics, Manouba, Tunisia
| | - M Haddad
- Sport Science Program, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - R Goebel
- Sport Science Program, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - A Chaouachi
- Research Laboratory ''Sport Performance Optimization'', National Center of Medicine and Sciences in Sport (CNMSS),Tunis, Tunisia
| | - M Amri
- Department of Biological Sciences, Faculty of Science of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - K Chamari
- Athelte Health and Performance Research Centre, Aspetar, Qatar; Orthopedic and Sports Medicine Hospital, Doha, Qatar
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Callo G, Gigante DP, Barros FC, Horta BL. Lifetime overweight and obesity and body composition in adulthood: the 1982 Pelotas (Brazil) birth cohort study. CAD SAUDE PUBLICA 2016; 32:e00174014. [PMID: 27167046 DOI: 10.1590/0102-311x00174014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Accepted: 07/23/2015] [Indexed: 12/14/2022] Open
Abstract
This study aimed to assess the association between overweight/obesity at different moments in the life cycle and body composition in early adulthood. Data were used from the 1982 Pelotas (Brazil) birth cohort study, which has followed live born children of families residing in the urban area of Pelotas at different ages. At 30 years of age, 3,701 cohort members were interviewed and body composition was assessed using Bod Pod, 2,219 cohort members had at least one weight and height measurement taken in the three periods (childhood, adolescence, and adulthood), 24% never presented overweight, and 68.6% were never classified as obese. Elevated body mass index (BMI) and percent body fat at 30 years of age were associated with individuals classified as overweight in all three periods or in adolescence and adulthood, while those with overweight/obesity only in childhood or adolescence showed mean BMI and percent body fat similar to those who had never presented overweight/obesity. The results indicate the benefit of early interruption of overweight/obesity.
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Affiliation(s)
- Gabriela Callo
- Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Denise Pretucci Gigante
- Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil
| | | | - Bernardo Lessa Horta
- Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil
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Bélanger M, Humbert L, Vatanparast H, Ward S, Muhajarine N, Chow AF, Engler-Stringer R, Donovan D, Carrier N, Leis A. A multilevel intervention to increase physical activity and improve healthy eating and physical literacy among young children (ages 3-5) attending early childcare centres: the Healthy Start-Départ Santé cluster randomised controlled trial study protocol. BMC Public Health 2016; 16:313. [PMID: 27068684 PMCID: PMC4828766 DOI: 10.1186/s12889-016-2973-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Accepted: 03/19/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Childhood obesity is a growing concern for public health. Given a majority of children in many countries spend approximately 30 h per week in early childcare centers, this environment represents a promising setting for implementing strategies to foster healthy behaviours for preventing and controlling childhood obesity. Healthy Start-Départ Santé was designed to promote physical activity, physical literacy, and healthy eating among preschoolers. The objectives of this study are to assess the effectiveness of the Healthy Start-Départ Santé intervention in improving physical activity levels, physical literacy, and healthy eating among preschoolers attending early childcare centers. METHODS/DESIGN This study follows a cluster randomized controlled trial design in which the childcare centers are randomly assigned to receive the intervention or serve as usual care controls. The Healthy Start-Départ Santé intervention is comprised of interlinked components aiming to enable families and educators to integrate physical activity and healthy eating in the daily lives of young children by influencing factors at the intrapersonal, interpersonal, organizational, community, physical environment and policy levels. The intervention period, spanning 6-8 months, is preceded and followed by data collections. Participants are recruited from 61 childcare centers in two Canadian provinces, New Brunswick and Saskatchewan. Centers eligible for this study have to prepare and provide meals for lunch and have at least 20 children between the ages of 3 and 5. Centers are excluded if they have previously received a physical activity or nutrition promoting intervention. Eligible centers are stratified by province, geographical location (urban or rural) and language (English or French), then recruited and randomized using a one to one protocol for each stratum. Data collection is ongoing. The primary study outcomes are assessed using accelerometers (physical activity levels), the Test of Gross Motor Development-II (physical literacy), and digital photography-assisted weighted plate waste (food intake). DISCUSSION The multifaceted approach of Healthy Start-Départ Santé positions it well to improve the physical literacy and both dietary and physical activity behaviors of children attending early childcare centers. The results of this study will be of relevance given the overwhelming prevalence of overweight and obesity in children worldwide. TRIAL REGISTRATION NCT02375490 (ClinicalTrials.gov registry).
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Affiliation(s)
- Mathieu Bélanger
- Department of family medicine, Université de Sherbrooke, 18 avenue Antonine-Maillet, Moncton, NB, E1A 3E9, Canada.,Centre de formation médicale du Nouveau-Brunswick, 18 avenue Antonine-Maillet, Moncton, NB, E1A 3E9, Canada.,Vitalité Health Network, 330 Université Avenue, Moncton, NB, E1C 2Z3, Canada
| | - Louise Humbert
- College of Kinesiology, University of Saskatchewan, 7 Campus Drive, Saskatoon, SK, S7N 5B2, Canada
| | - Hassan Vatanparast
- College of Pharmacy and Nutrition /School of Public Health, University of Saskatchewan, 104 Clinic Place, Saskatoon, SK, S7N 0Z2, Canada
| | - Stéphanie Ward
- Department of family medicine, Université de Sherbrooke, 18 avenue Antonine-Maillet, Moncton, NB, E1A 3E9, Canada.,Centre de formation médicale du Nouveau-Brunswick, 18 avenue Antonine-Maillet, Moncton, NB, E1A 3E9, Canada
| | - Nazeem Muhajarine
- Department of Community Health & Epidemiology, College of Medicine, University of Saskatchewan Health Sciences E Wing, 104 Clinic Place, Saskatoon, SK, S7N 2Z4, Canada
| | - Amanda Froehlich Chow
- College of Kinesiology, University of Saskatchewan, 7 Campus Drive, Saskatoon, SK, S7N 5B2, Canada
| | - Rachel Engler-Stringer
- Department of Community Health & Epidemiology, College of Medicine, University of Saskatchewan Health Sciences E Wing, 104 Clinic Place, Saskatoon, SK, S7N 2Z4, Canada
| | - Denise Donovan
- Centre de formation médicale du Nouveau-Brunswick, 18 avenue Antonine-Maillet, Moncton, NB, E1A 3E9, Canada
| | - Natalie Carrier
- École des sciences des aliments, de nutrition et d'études familiales, Faculté des sciences de la santé et des services communautaires, Université de Moncton, 18 avenue Antonine-Maillet, Moncton, NB, E1A 3E9, Canada
| | - Anne Leis
- Department of Community Health & Epidemiology, College of Medicine, University of Saskatchewan Health Sciences E Wing, 104 Clinic Place, Saskatoon, SK, S7N 2Z4, Canada.
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Bourgeois N, Brauer P, Simpson JR, Kim S, Haines J. Interventions for prevention of childhood obesity in primary care: a qualitative study. CMAJ Open 2016; 4:E194-9. [PMID: 27398363 PMCID: PMC4933605 DOI: 10.9778/cmajo.20150081] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Preventing childhood obesity is a public health priority, and primary care is an important setting for early intervention. Authors of a recent national guideline have identified a need for effective primary care interventions for obesity prevention and that parent perspectives on interventions are notably absent from the literature. Our objective was to determine the perspectives of primary care clinicians and parents of children 2-5 years of age on the implementation of an obesity prevention intervention within team-based primary care to inform intervention implementation. METHODS We conducted focus groups with interprofessional primary care clinicians (n = 40) and interviews with parents (n = 26). Participants were asked about facilitators and barriers to, and recommendations for implementing a prevention program in primary care. Data were recorded and transcribed, and we used directed content analysis to identify major themes. RESULTS Barriers existed to addressing obesity-related behaviours in this age group and included a gap in well-child primary care between ages 18 months and 4-5 years, lack of time and sensitivity of the topic. Trust and existing relationships with primary care clinicians were facilitators to program implementation. Offering separate programs for parents and children, and addressing both general parenting topics and obesity-related behaviours were identified as desirable. INTERPRETATION Despite barriers to addressing obesity-related behaviours within well-child primary care, both clinicians and parents expressed interest in interventions in primary care settings. Next steps should include pilot studies to identify feasible strategies for intervention implementation.
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Affiliation(s)
- Nicole Bourgeois
- Department of Family Relations and Applied Nutrition (Bourgeois, Brauer, Randall Simpson, Haines), University of Guelph, Guelph, Ont.; Family Practice Health Centre (Bourgeois, Kim), Women's College Hospital; Department of Family and Community Medicine (Kim), University of Toronto, Toronto, Ont
| | - Paula Brauer
- Department of Family Relations and Applied Nutrition (Bourgeois, Brauer, Randall Simpson, Haines), University of Guelph, Guelph, Ont.; Family Practice Health Centre (Bourgeois, Kim), Women's College Hospital; Department of Family and Community Medicine (Kim), University of Toronto, Toronto, Ont
| | - Janis Randall Simpson
- Department of Family Relations and Applied Nutrition (Bourgeois, Brauer, Randall Simpson, Haines), University of Guelph, Guelph, Ont.; Family Practice Health Centre (Bourgeois, Kim), Women's College Hospital; Department of Family and Community Medicine (Kim), University of Toronto, Toronto, Ont
| | - Susie Kim
- Department of Family Relations and Applied Nutrition (Bourgeois, Brauer, Randall Simpson, Haines), University of Guelph, Guelph, Ont.; Family Practice Health Centre (Bourgeois, Kim), Women's College Hospital; Department of Family and Community Medicine (Kim), University of Toronto, Toronto, Ont
| | - Jess Haines
- Department of Family Relations and Applied Nutrition (Bourgeois, Brauer, Randall Simpson, Haines), University of Guelph, Guelph, Ont.; Family Practice Health Centre (Bourgeois, Kim), Women's College Hospital; Department of Family and Community Medicine (Kim), University of Toronto, Toronto, Ont
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47
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Swanson WM. An opportunity to combat obesity lies in the at-risk college population. J Am Assoc Nurse Pract 2016; 28:196-203. [DOI: 10.1002/2327-6924.12360] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Accepted: 02/03/2016] [Indexed: 11/10/2022]
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Outcomes of bariatric surgery in the young: a single-institution experience caring for patients under 21 years old. Surg Endosc 2016; 30:5015-5022. [PMID: 26969662 DOI: 10.1007/s00464-016-4849-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 02/29/2016] [Indexed: 10/22/2022]
Abstract
BACKGROUND Medical weight loss options are rarely successful long term in young patients. Bariatric surgery has been shown to be safe and effective in this population. METHODS Patients ≤21 years old who had bariatric surgery at our institution between January 2009 and December 2013 were evaluated to determine the safety and efficacy of bariatric surgery in this population. The primary end point was excess weight loss (EWL). Secondary end points included surgical morbidity, improvement in obesity-related metabolic parameters, and subjective obesity-related symptoms at 1 year. RESULTS Fifty-four patients were identified who had a laparoscopic Roux-en-Y gastric bypass (LGBP) or laparoscopic sleeve gastrectomy (LSG). Fourteen patients were male (25.9 %), and 40 patients were female (74.1 %). Thirty-seven patients (68.5 %) underwent LGBP, and 17 patients (31.5 %) underwent LSG. Median follow-up was 13.3 months. The baseline BMI was 51.7 kg/m2 for the LGBP group and 51.0 kg/m2 for the LSG group. EWL was 35.2, 47.6, 62.4, 58.1, and 61.8 % for the LGBP group; 29.7, 44.7, 57.4, 60.3, and 59.0 % for the LSG group at 3, 6, 12, 24, and 36 months, respectively. Our complications included 1 anastomotic bleed, 1 postoperative stricture, and 1 patient who developed vitamin deficiency that manifested as a peripheral neuropathy in the LGBP group. LGBP was more successful than LSG in improving lipid panel parameters and HbA1c at 1 year, and it also seemed to offer better subjective improvement in obesity-related symptoms. CONCLUSIONS LGBP and LSG seem to confer comparable weight loss benefit in patients ≤21 years old with acceptable surgical morbidity.
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Ward S, Bélanger M, Donovan D, Carrier N. Systematic review of the relationship between childcare educators' practices and preschoolers' physical activity and eating behaviours. Obes Rev 2015; 16:1055-70. [PMID: 26345462 DOI: 10.1111/obr.12315] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 07/31/2015] [Accepted: 07/31/2015] [Indexed: 12/01/2022]
Abstract
The role of childcare educators is important given that 81% of preschoolers living in developed countries receive childcare outside their home. Since children learn by observing and imitating others, childcare educators may play a role in promoting healthy eating behaviours and physical activity in young children. Six databases were searched for quantitative peer-reviewed, English or French primary studies reporting the correlates, predictors or effectiveness of childcare educators' practices on preschoolers' healthy eating and physical activity behaviours. Risk of bias was assessed using the Quality Assessment Tool for Quantitative Studies. Fifteen articles were included in this review: 10 measured physical activity levels and five assessed eating behaviours. The quality score was rated as low for eight of these articles, and as moderate for the remaining seven. Two of four cross-sectional studies reported a positive relationship between educators and children's behaviours. Eleven intervention studies reported significant favourable effects of interventions. Educators may play a positive role in promoting healthy behaviours in children, but this is mainly based on a small number of intervention type studies of low or moderate quality. The influence of specific components of educators' practices on children's healthy eating and physical activity behaviours remains inconclusive.
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Affiliation(s)
- S Ward
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Moncton, Canada
| | - M Bélanger
- Department of Family Medicine, Université de Sherbrooke, Moncton, Canada
| | - D Donovan
- Department of Community Health Sciences, Université de Sherbrooke, Moncton, Canada
| | - N Carrier
- École des sciences des aliments, de nutrition et d'études familiales, Université de Moncton, Moncton, Canada
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Nissen NK, Holm L, Baarts C. Monitoring the Normal Body: Ideals and Practices among Normal-Weight and Moderately Overweight People. Obes Facts 2015; 8:329-41. [PMID: 26465272 PMCID: PMC5644855 DOI: 10.1159/000441461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Accepted: 09/04/2015] [Indexed: 12/01/2022] Open
Abstract
INTRODUCTION An extensive body of literature is concerned with obese people, risk, and weight management. However, little is known about weight management among people not belonging to the extreme BMI categories. Management of weight among normal-weight and moderately overweight individuals provides us with knowledge about how to prevent future overweight or obesity. This paper investigates body size ideals and monitoring practices among normal-weight and moderately overweight people. METHODS The study is based on in-depth interviews combined with observations. 24 participants were recruited by strategic sampling based on self-reported BMI 18.5-29.9 kg/m2 and socio-demographic factors. Inductive analysis was conducted. RESULTS Normal-weight and moderately overweight people have clear ideals for their body size. Despite being normal weight or close to this, they construct a variety of practices for monitoring their bodies based on different kinds of calculations of weight and body size, observations of body shape, and measurements of bodily firmness. Biometric measurements are familiar to them as are health authorities' recommendations. Despite not belonging to an extreme BMI category, they translate such measurements and recommendations in meaningful ways to fit their everyday life. CONCLUSIONS Normal-weight and moderately overweight people are concerned with their body size and continuously monitor it. Future health promotion work should consider the kind of practices already established in daily life when recommending ways of conducting body management.
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Affiliation(s)
- Nina Konstantin Nissen
- Department of Food and Resource Economics, University of Copenhagen, Frederiksberg, Denmark
| | - Lotte Holm
- Department of Food and Resource Economics, University of Copenhagen, Frederiksberg, Denmark
| | - Charlotte Baarts
- Department of Sociology, University of Copenhagen, Copenhagen, Denmark
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