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Van Asbroeck S, Köhler S, Wimmers SCPM, Muris JWM, van Boxtel MPJ, Deckers K. Multidomain Dementia Risk Reduction in Primary Care is Feasible: A Proof-of-concept study. J Alzheimers Dis 2024:JAD240229. [PMID: 38759017 DOI: 10.3233/jad-240229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2024]
Abstract
Background Dementia risk reduction is a public health priority, but interventions that can be easily implemented in routine care are scarce. Objective To evaluate the feasibility of integrating dementia risk reduction in regular consultations in primary care and the added value of a dedicated smartphone app ('MyBraincoach'). Methods 188 participants (40-60 years), with modifiable dementia risk factors were included from ten Dutch general practices in a cluster-randomized trial (NL9773, 06/10/2021). Practices were randomly allocated (1 : 1) to provide a risk-reduction consultation only or to additionally provide the app. During the consultation, participants learned about dementia risk reduction and how to improve their risk profile. The app group received daily microteaching-notifications about their personally relevant risk factors. Feasibility was evaluated after 3 months using questionnaires assessing knowledge on dementia risk reduction and health behavior change. The primary outcome was change in the validated "LIfestyle for BRAin health" (LIBRA) score. In-depth interviews were conducted with participants and primary care providers (PCPs). Results The interventions were positively perceived, with 72.0% finding the consultation informative and 69.2% considering the app useful. Drop-out was low (6.9%). LIBRA improved similarly in both groups, as did Mediterranean diet adherence and body mass index. Knowledge of dementia risk reduction increased, but more in the app group. Interviews provided insight in participants' and PCPs' needs and wishes. Conclusions Integrating dementia risk reduction in primary care, supported by a smartphone app, is a viable approach towards dementia risk reduction. Larger trials are needed to establish (cost-)effectiveness.
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Affiliation(s)
- Stephanie Van Asbroeck
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Sophie C P M Wimmers
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Jean W M Muris
- Department of Family Medicine, Careand Public Health Research Institute (CAPHRI), MaastrichtUniversity, Maastricht, the Netherlands
| | - Martin P J van Boxtel
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Kay Deckers
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
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2
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Stürmer P, Ratjen I, Weber KS, Övermöhle C, Liedtke TP, Waniek S, Strathmann EA, Lieb W. Greater adherence to the Healthy Nordic Food Index is associated with lower all-cause mortality in a population-based sample from northern Germany. Eur J Nutr 2024; 63:365-375. [PMID: 37855892 PMCID: PMC10899306 DOI: 10.1007/s00394-023-03271-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/10/2023] [Indexed: 10/20/2023]
Abstract
PURPOSE Dietary pattern scores reflecting a high intake of beneficial food groups were associated with reduced mortality risk. Data on associations of such dietary pattern scores in population-based samples from northern Germany are lacking. Therefore, we examined the association of three dietary pattern scores with all-cause mortality in a moderate-sized prospective sample from northern Germany. METHODS The study sample comprised 836 participants (43.8% females, median age 62.4 years). Based on a validated, self-administered Food Frequency Questionnaire, the dietary scores Dietary Approaches to Stop Hypertension (DASH), Modified Mediterranean Diet Score (MMDS), and Healthy Nordic Food Index (HNFI) were calculated. Cox proportional hazard regression models, adjusted for age, sex, body mass index, waist to hip ratio, education, smoking status, total energy intake, and physical activity, were used to separately relate DASH, MMDS, and HNFI to all-cause mortality. RESULTS During a median follow-up period of 11 years, 93 individuals died. While DASH and MMDS scores were not associated with all-cause mortality, greater adherence to HNFI was associated with lower mortality hazards (HR: 0.47 [95% CI 0.25-0.89] when comparing the highest score quartile to the lowest; HR: 0.79 [95% CI 0.64-0.98] for HNFI modeled as a 1-Standard Deviation increment). Among different HNFI components, higher intake of oats and cereals displayed the most conclusive association with all-cause mortality (HR: 0.59 [95% CI 0.38-0.91] when comparing high and low intake). CONCLUSION In an elderly general population sample from northern Germany, we observed greater adherence to HNFI to be associated with lower all-cause mortality.
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Affiliation(s)
- Paula Stürmer
- Institute of Epidemiology, Kiel University, Niemannsweg 11, 24105, Kiel, Germany.
| | - Ilka Ratjen
- Institute of Epidemiology, Kiel University, Niemannsweg 11, 24105, Kiel, Germany
- Department of Hematology and Oncology, University Hospital Schleswig Holstein, Kiel, Germany
| | | | - Cara Övermöhle
- Institute of Epidemiology, Kiel University, Niemannsweg 11, 24105, Kiel, Germany
| | | | - Sabina Waniek
- Institute of Epidemiology, Kiel University, Niemannsweg 11, 24105, Kiel, Germany
| | | | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Niemannsweg 11, 24105, Kiel, Germany
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3
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DiJoseph K, Thorp A, Harrington A, Schmitz KH, Chinchilli VM, Stine JG. Physical Activity and Risk of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis. Dig Dis Sci 2023; 68:1051-1059. [PMID: 35767138 DOI: 10.1007/s10620-022-07601-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 06/15/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND & AIMS Physical activity offers promise to protect against multiple non-hepatic primary cancers. We performed a systematic review to quantify the association between physical activity and hepatocellular carcinoma (HCC) risk. METHODS We searched the Cochrane Library, Embase, Medline and trial registries through December 2020 for studies that measured physical activity levels in adults at risk for HCC. The primary outcome was HCC. Subgroup analysis was performed limiting to vigorous physical activity. Proportions and random-effects odds ratios (OR) with corresponding 95% confidence intervals (CI) were calculated. RESULTS Seven studies met inclusion criteria, comprising 777,662 subjects (median age 55 years; 55% female). Greater amounts of physical activity were associated with less HCC (OR 0.65, 95% CI 0.45-0.95, p = 0.03) compared to lower amounts. Vigorous physical activity was associated with even less HCC (OR 0.62, 95% CI 0.49-0.79, p < 0.01). CONCLUSIONS This meta-analysis demonstrates that greater amounts of physical activity are associated with lower odds of HCC. These results support the use of regular physical activity as an effective way to prevent HCC and provide helpful data to support a for future exercise-based interventional study to better define the optimal exercise prescription for patients at risk for primary liver cancer.
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Affiliation(s)
- Kara DiJoseph
- Department of Medicine, The Pennsylvania State University- Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Audrey Thorp
- Department of Medicine, The Pennsylvania State University- Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Alex Harrington
- College of Medicine, The Pennsylvania State University- Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Kathryn H Schmitz
- Department of Public Health Sciences, The Pennsylvania State University- College of Medicine, Hershey, PA, USA
- Cancer Institute, The Pennsylvania State University- Milton S. Hershey Medical Center, 500 University Drive, Hershey, PA, 17033, USA
- Department of Kinesiology, The Pennsylvania State University- College of Health and Human Development, University Park, PA, USA
- Department of Physical Medicine & Rehabilitation, The Pennsylvania State University- Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Vernon M Chinchilli
- Department of Public Health Sciences, The Pennsylvania State University- College of Medicine, Hershey, PA, USA
| | - Jonathan G Stine
- Department of Public Health Sciences, The Pennsylvania State University- College of Medicine, Hershey, PA, USA.
- Cancer Institute, The Pennsylvania State University- Milton S. Hershey Medical Center, 500 University Drive, Hershey, PA, 17033, USA.
- Division of Gastroenterology and Hepatology, Department of Medicine, The Pennsylvania State University- Milton S. Hershey Medical Center, Hershey, PA, USA.
- Liver Center, The Pennsylvania State University- Milton S. Hershey Medical Center, Hershey, PA, USA.
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4
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Heger I, Deckers K, de Vugt M, Verhey F, Oenema A, van Boxtel M, Köhler S. Using mHealth for Primary Prevention of Dementia: A Proof-of-Concept Study on Usage Patterns, Appreciation, and Beliefs and Attitudes Regarding Prevention. J Alzheimers Dis 2023; 94:935-948. [PMID: 37355903 PMCID: PMC10473134 DOI: 10.3233/jad-230225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2023] [Indexed: 06/26/2023]
Abstract
BACKGROUND Health- and lifestyle factors account for a substantial part of all dementia cases, which opens the opportunity for primary prevention. However, the required behavioral change is complex and involves targeting multiple risk factors. mHealth interventions can potentially contribute to improving motivation in a low-cost and scalable way. OBJECTIVE To explore usage patterns, appreciation, and beliefs and attitudes regarding dementia risk reduction during the use of the MyBraincoach mobile app. METHODS Participants were community-dwelling middle-aged adults from the Netherlands and used either the standard (education) or extended (education+motivational triggers) app version for three months. Two panel studies were combined in this paper. Chi-square tests, t-tests and linear mixed models were used, adjusted for age, sex, and education. RESULTS Of all participants (n = 299, 50.2% male), 167 (55.9%) had installed the app. The most reported reason for non-use was technical problems (47%). Those who used the app were at baseline already more positive about dementia risk reduction than those who did not use the app. Of all users who completed the evaluation (n = 102), 78.4% (n = 80) stated that the app provided a positive approach towards brain health and 80.4% (n = 82) felt better informed. Younger (<60y) and lower educated participants evaluated the app most positively. CONCLUSION Usage of the app was low, but users showed more positive beliefs and attitudes regarding dementia risk reduction. Most users evaluated the app positively and stated to have gained knowledge on the topic. Improving the use of the app must keep high priority in future studies.
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Affiliation(s)
- Irene Heger
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Kay Deckers
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Marjolein de Vugt
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Frans Verhey
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Anke Oenema
- Department of Health Promotion, CAPHRI Care and Public Health Research Institute Maastricht, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Martin van Boxtel
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
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5
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Bizzozero-Peroni B, Ortolá R, Martínez-Vizcaíno V, Rodríguez-Artalejo F, Fernández-Rodríguez R, Banegas JR, Lopez-Garcia E, Mesas AE. Proinflammatory dietary pattern and depression risk in older adults: Prospective analyses from the Seniors-ENRICA studies. Clin Nutr 2022; 41:2614-2620. [PMID: 36306566 DOI: 10.1016/j.clnu.2022.10.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 09/07/2022] [Accepted: 10/12/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND & AIMS Only a few studies have assessed the association between a proinflammatory diet and the risk of depression in older adults, and they have rendered weak results. The present study analysed the association between the Dietary Inflammatory Index (DII) and incident self-reported diagnosis or symptoms of depression in two cohorts of community-dwelling older adults in Spain. METHODS We used data from the Seniors-ENRICA-I (SE-I) and Seniors-ENRICA-II (SE-II) cohorts. In both cohorts, the baseline DII was calculated from habitual food consumption estimated with a validated computer-based diet history. The incidence of both physician self-reported diagnosis of depression and mild-to-major depressive symptoms (≥3 on the 10-item Geriatric Depression Scale) was analysed. Logistic regression models were adjusted for the main potential confounders, such as sociodemographics, lifestyles, and comorbidities. The results of both cohorts were pooled using a random effects model. RESULTS Among the 1627 participants in SE-I (mean age 71.5 ± 5.5 y, 53.1% women) and the 1579 in SE-II (mean age 71.4 ± 4.2, 46.7% women), 86 (5.3%) and 140 (8.9%) incident cases of depression were identified after a mean 3.2-y and 2.3-y follow-up, respectively. The fully adjusted odds ratio (95% confidence interval) of incident depression for the highest (the highest proinflammatory diet) versus the lowest quartile of DII was 2.76 (1.25-6.08, p-for-trend = 0.005) in the SE-I, 1.90 (1.04-3.40, p-for-trend = 0.005) in the SE-II and 2.07 (1.01-3.13) in the pooled cohorts. The results were consistent across strata defined by sex, age, physical activity, loneliness/poor social network, and morbidity. CONCLUSIONS A proinflammatory dietary pattern is associated with depression risk in older adults. Future research should evaluate whether reducing the inflammatory component of diet leads to reduced depression symptoms in this population.
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Affiliation(s)
- Bruno Bizzozero-Peroni
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, 16071, Spain; Instituto Superior de Educación Física, Universidad de La República, Rivera, 40000, Uruguay
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Calle Del Arzobispo Morcillo 4, 28029 Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Avenida de Monforte de Lemos 3-5, Madrid, 28029, Spain
| | - Vicente Martínez-Vizcaíno
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, 16071, Spain; Facultad de Ciencias de La Salud, Universidad Autónoma de Chile, Talca, 1101, Chile
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Calle Del Arzobispo Morcillo 4, 28029 Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Avenida de Monforte de Lemos 3-5, Madrid, 28029, Spain; IMDEA Food Institute, CEI UAM+CSIC, Carretera de Canto Blanco 8, Madrid, 28049, Spain
| | | | - José R Banegas
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Calle Del Arzobispo Morcillo 4, 28029 Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Avenida de Monforte de Lemos 3-5, Madrid, 28029, Spain
| | - Esther Lopez-Garcia
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Calle Del Arzobispo Morcillo 4, 28029 Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Avenida de Monforte de Lemos 3-5, Madrid, 28029, Spain; IMDEA Food Institute, CEI UAM+CSIC, Carretera de Canto Blanco 8, Madrid, 28049, Spain
| | - Arthur Eumann Mesas
- Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, 16071, Spain; Postgraduate Program in Public Health, Universidade Estadual de Londrina, Londrina, Paraná, 86057-970, Brazil.
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6
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Naaktgeboren WR, Groen WG, Jacobse JN, Steggink LC, Walenkamp AME, van Harten WH, Stuiver MM, Aaronson NK, Aleman BMP, van der Meer P, Schaapveld M, Sonke GS, Gietema JA, van Leeuwen FE, May AM. Physical Activity and Cardiac Function in Long-Term Breast Cancer Survivors: A Cross-Sectional Study. JACC CardioOncol 2022; 4:183-191. [PMID: 35818555 PMCID: PMC9270603 DOI: 10.1016/j.jaccao.2022.02.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 02/16/2022] [Indexed: 12/11/2022] Open
Abstract
Background Higher levels of physical activity are associated with a lower risk of cardiovascular disease in the general population. Whether the same holds for women who underwent treatment for breast cancer is unclear. Objectives The aim of this study was to evaluate the association between physical activity in a typical week in the past 12 months and cardiac dysfunction in breast cancer survivors. Methods We used data from a cohort of breast cancer survivors who were treated at ages 40 to 50 years (N = 559). The association between physical activity and global longitudinal strain (GLS) and left ventricular ejection fraction (LVEF) was evaluated using both linear and modified Poisson regression analyses adjusted for relevant confounders. Results In total, 559 breast cancer survivors were included, with median age of 55.5 years and a median time since treatment of 10.2 years. GLS was less favorable in inactive survivors (−17.1%) than in moderately inactive (−18.4%), moderately active (−18.2%), and active survivors (−18.5%), with an adjusted significant difference for active versus inactive survivors (β = −1.31; 95% CI: −2.55 to −0.06)). Moderately active (n = 57/130) and active survivors (n = 87/124) had significantly lower risks of abnormal GLS (defined as >−18%) compared with inactive survivors (n = 17/26) (RR: 0.65 [95% CI: 0.45-0.94] and RR: 0.61 [95% CI: 0.43-0.87], respectively). LVEF, in normal ranges in all activity categories, was not associated with physical activity. Conclusions In long-term breast cancer survivors, higher physical activity levels were associated with improved GLS but not LVEF, with the relatively largest benefit for doing any activity versus none. This finding suggests that increasing physical activity may contribute to cardiovascular health benefits, especially in inactive survivors.
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Affiliation(s)
- Willeke R Naaktgeboren
- The Netherlands Cancer Institute, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Wim G Groen
- The Netherlands Cancer Institute, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands
| | - Judy N Jacobse
- The Netherlands Cancer Institute, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands
| | - Lars C Steggink
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Annemiek M E Walenkamp
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Wim H van Harten
- The Netherlands Cancer Institute, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands.,Rijnstate Hospital, Arnhem, the Netherlands.,Department of Health Technology and Services Research, University of Twente, Enschede, the Netherlands
| | - Martijn M Stuiver
- The Netherlands Cancer Institute, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands.,Center for Quality of Life, The Netherlands Cancer Institute, Amsterdam, the Netherlands.,Centre of Expertise Urban Vitality, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
| | - Neil K Aaronson
- The Netherlands Cancer Institute, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands
| | - Berthe M P Aleman
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Peter van der Meer
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Michael Schaapveld
- The Netherlands Cancer Institute, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands
| | - Gabe S Sonke
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Jourik A Gietema
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Flora E van Leeuwen
- The Netherlands Cancer Institute, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands
| | - Anne M May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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7
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Smit KC, Derksen JWG, Beets GLO, Belt EJT, Berbée M, Coene PPLO, van Cruijsen H, Davidis MA, Dekker JWT, van Dodewaard-de Jong JM, Haringhuizen AW, Helgason HH, Hendriks MP, Hoekstra R, de Hingh IHJT, IJzermans JNM, Janssen JJB, Konsten JLM, Los M, Mekenkamp LJM, Nieboer P, Peeters KCMJ, Peters NAJB, Pruijt HJFM, Quarles van Ufford-Mannesse P, Rietbroek RC, Schiphorst AHW, Schouten van der Velden A, Schrauwen RWM, Sie MPS, Sommeijer DW, Sonneveld DJA, Stockmann HBAC, Tent M, Terheggen F, Tjin-A-Ton MLR, Valkenburg-van Iersel L, van der Velden AMT, Vles WJ, van Voorthuizen T, Wegdam JA, de Wilt JHW, Koopman M, May AM. Physical Activity Is Associated with Improved Overall Survival among Patients with Metastatic Colorectal Cancer. Cancers (Basel) 2022; 14:cancers14041001. [PMID: 35205748 PMCID: PMC8870120 DOI: 10.3390/cancers14041001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/08/2022] [Accepted: 02/14/2022] [Indexed: 02/05/2023] Open
Abstract
Simple Summary Physical activity is linked to longer survival among non-metastasized colorectal cancer patients. It is unclear if physical activity is also beneficial for survival among patients with metastatic colorectal cancer. We researched this question in our study of 293 patients with metastatic colorectal cancer. We found that participants who reported higher levels of physical activity at diagnosis lived longer compared to patients who reported low activity levels. Furthermore, adherence to the physical activity guidelines for cancer survivors was related to prolonged survival. Our findings suggest that patients with metastatic colorectal cancer also benefit from being physically active. Future studies are needed to investigate whether improving exercise levels after diagnosis of metastasis is also beneficial and what kind of exercise interventions are most optimal for possibly improving survival time of patients with metastatic colorectal cancer. Abstract Regular physical activity (PA) is associated with improved overall survival (OS) in stage I–III colorectal cancer (CRC) patients. This association is less defined in patients with metastatic CRC (mCRC). We therefore conducted a study in mCRC patients participating in the Prospective Dutch Colorectal Cancer cohort. PA was assessed with the validated SQUASH questionnaire, filled-in within a maximum of 60 days after diagnosis of mCRC. PA was quantified by calculating Metabolic Equivalent Task (MET) hours per week. American College of Sports and Medicine (ACSM) PA guideline adherence, tertiles of moderate to vigorous PA (MVPA), and sport and leisure time MVPA (MVPA-SL) were assessed as well. Vital status was obtained from the municipal population registry. Cox proportional-hazards models were used to study the association between PA determinants and all-cause mortality adjusted for prognostic patient and treatment-related factors. In total, 293 mCRC patients (mean age 62.9 ± 10.6 years, 67% male) were included in the analysis. Compared to low levels, moderate and high levels of MET-hours were significantly associated with longer OS (fully adjusted hazard ratios: 0.491, (95% CI 0.299–0.807, p value = 0.005) and 0.485 (95% CI 0.303–0.778, p value = 0.003), respectively), as were high levels of MVPA (0.476 (95% CI 0.278–0.816, p value = 0.007)) and MVPA-SL (0.389 (95% CI 0.224–0.677, p value < 0.001)), and adherence to ACSM PA guidelines compared to non-adherence (0.629 (95% CI 0.412–0.961, p value = 0.032)). The present study provides evidence that higher PA levels at diagnosis of mCRC are associated with longer OS.
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Affiliation(s)
- Karel C. Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (K.C.S.); (J.W.G.D.)
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands;
| | - Jeroen W. G. Derksen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (K.C.S.); (J.W.G.D.)
| | - Geerard L. O. Beets
- Department of Surgery, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands;
- GROW School for Oncology and Developmental Biology, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Eric J. Th. Belt
- Department of Surgery, Albert Schweitzer Hospital, Albert Schweitzerplaats 25, 3318 AT Dordrecht, The Netherlands;
| | - Maaike Berbée
- Department of Radiotherapy, Maastro Clinic, 6202 NA Maastricht, The Netherlands;
| | - Peter Paul L. O. Coene
- Department of Surgery, Maasstad Hospital, Maasstadweg 21, 3079 DZ Rotterdam, The Netherlands;
| | - Hester van Cruijsen
- Department of Medical Oncology, Antonius Hospital, 8600 BA Sneek, The Netherlands;
| | - Marjan A. Davidis
- Department of Medical Oncology, Rivas, Banneweg 57, 4204 AA Gorinchem, The Netherlands;
| | - Jan Willem T. Dekker
- Department of Surgery, Reinier de Graaf Hospital, Reinier de Graafweg 5, 2600 GA Delft, The Netherlands;
| | | | | | - Helgi H. Helgason
- Department of Medical Oncology, Haaglanden Medical Center, 2501 CK Den Haag, The Netherlands;
| | - Mathijs P. Hendriks
- Department of Medical Oncology, Northwest Clinics, 1800 AM Alkmaar, The Netherlands;
| | - Ronald Hoekstra
- Department of Medical Oncology, Ziekenhuisgroep Twente, Zilvermeeuw 1, 7609 PP Hengelo, The Netherlands;
| | - Ignace H. J. T. de Hingh
- Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands;
| | - Jan N. M. IJzermans
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3000 AD Rotterdam, The Netherlands;
| | - Johan J. B. Janssen
- Department of Medical Oncology, Canisius Wilhelmina Hospital, 6500 GS Nijmegen, The Netherlands;
| | - Joop L. M. Konsten
- Department of Surgery, Viecuri Hospital, Tegelseweg 210, 5912 BL Venlo, The Netherlands;
| | - Maartje Los
- Department of Medical Oncology, St. Antonius Hospital, 3430 EM Nieuwegein, The Netherlands;
| | - Leonie J. M. Mekenkamp
- Department of Medical Oncology, Medisch Spectrum Twente, 7500 KA Enschede, The Netherlands;
| | - Peter Nieboer
- Department of Medical Oncology, Wilhelmina Hospital, 9400 RA Assen, The Netherlands;
| | - Koen C. M. J. Peeters
- Department of Surgery, Leiden University Medical Center, University of Leiden, Postzone K6-39 Albinusdreef 2, 2300 RC Leiden, The Netherlands;
| | - Natascha A. J. B. Peters
- Department of Medical Oncology, Sint Jans Hospital, Vogelsbleek 5, 6001 BE Weert, The Netherlands;
| | - Hans J. F. M. Pruijt
- Department of Medical Oncology, Jeroen Bosch Hospital, 5200 ME Den Bosch, The Netherlands;
| | | | - Ron C. Rietbroek
- Department of Medical Oncology, Rode Kruis Hospital, Vondellaan 13, 1942 LE Beverwijk, The Netherlands;
| | - Anandi H. W. Schiphorst
- Department of Surgery, Diakonessenhuis Hospital, Bosboomstraat 1, 3582 KE Utrecht, The Netherlands;
| | | | - Ruud W. M. Schrauwen
- Department of Gastroenterology and Hepatology, Bernhoven Hospital, Nistelrodeseweg 10, 5406 PT Uden, The Netherlands;
| | - Mark P. S. Sie
- Department of Medical Oncology, ZorgSaam Hospital, Wielingenlaan 2, 4535 PA Terneuzen, The Netherlands;
| | - Dirkje W. Sommeijer
- Department of Medical Oncology, Academisch Medisch Centrum, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands;
- Department of Medical Oncology, Flevo Hospital, Hospitaalweg 1, 1315 RA Almere, The Netherlands
| | - Dirk J. A. Sonneveld
- Department of Surgery, Dijklander Hospital, Waterlandlaan 250, 1441 RN Purmerend, The Netherlands;
| | | | - Marleen Tent
- Department of Medical Oncology, Treant Hospital, 7800 RA Emmen, The Netherlands;
| | - Frederiek Terheggen
- Department of Medical Oncology, Bravis Hospital, Boerhaavelaan 25, 4708 AE Roosendaal, The Netherlands;
| | | | | | - Ankie M. T. van der Velden
- Department of Medical Oncology, Tergooi Hospital, Van Riebeeckweg 212, 1213 XZ Hilversum, The Netherlands;
| | - Wouter J. Vles
- Department of Surgery, Ikazia Hospital, Montessoriweg 1, 3083 AN Rotterdam, The Netherlands;
| | - Theo van Voorthuizen
- Department of Medical Oncology, Rijnstate Hospital, Postus 9555, 6800 TA Arnhem, The Netherlands;
| | - Johannes A. Wegdam
- Department of Surgery, Elkerliek Hospital, Wesselmanlaan 25, 5707 HA Helmond, The Netherlands;
| | - Johannes H. W. de Wilt
- Department of Surgery, Radboud University Medical Center, University of Nijmegen, 6500 HB Nijmegen, The Netherlands;
| | - Miriam Koopman
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands;
| | - Anne M. May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (K.C.S.); (J.W.G.D.)
- Correspondence:
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8
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Welten SJGC, Onland-Moret NC, Boer JMA, Verschuren WMM, van der Schouw YT. Age at Menopause and Risk of Ischemic and Hemorrhagic Stroke. Stroke 2021; 52:2583-2591. [PMID: 34078111 PMCID: PMC8312566 DOI: 10.1161/strokeaha.120.030558] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The few epidemiological studies that addressed the association between age at menopause and ischemic and hemorrhagic stroke risk in women had conflicting findings. We aimed to investigate whether age at (natural and surgical) menopause is a risk factor for total, ischemic, and hemorrhagic stroke in women. METHODS We analyzed data from 16 244 postmenopausal women, aged 26 to 70 years at recruitment who were enrolled in the European Prospective Investigation into Cancer and Nutrition-Netherlands cohort between 1993 and 1997. Participants were followed for the occurrence of stroke until January 1, 2011. At baseline, participants filled in questionnaires about health, reproductive history including age at menopause, diet, and lifestyle. Cox regression was used to investigate the association between age at menopause and stroke. All analyses were adjusted for age, smoking, systolic blood pressure, and body mass index. RESULTS Mean age of menopause was 46.4 (7.0) years. A total of 830 strokes (571 ischemic, 162 hemorrhagic, 97 unclassified) were identified. Earlier menopause was associated with an increased risk of total stroke. Compared with women who experienced menopause between 50 and 54 years old, women who underwent menopause before age 40 years had 1.48× higher risk (95% CI, 1.19-1.85) of total stroke. In continuous analyses, we observed a 2% lower total stroke risk for each year menopause was delayed (hazard ratio, 0.98 [95% CI, 0.97-0.99]). The risk between earlier menopause and stroke was confined to ischemic stroke, earlier menopause was not associated with hemorrhagic stroke. The association with age at menopause was stronger for natural menopause (hazard ratio <40 versus 50-54 years, 1.74 [95% CI, 1.12-2.70]) than for surgical menopause (hazard ratio <40 versus 50-54 years, 1.26 [95% CI, 0.84-1.89]). CONCLUSIONS The risk of total and ischemic stroke decreased with an increase in age at menopause. Whether this should have clinical consequences such as intensified risk factor control should be subject of further studies.
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Affiliation(s)
- Sabrina J G C Welten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (S.J.G.C.W., N.C.O.-M., W.M.M.V., Y.T.v.d.S.).,Department of General Practice, Amsterdam University Medical Center, Location VU, Amsterdam Public Health Research Institute, the Netherlands (S.J.G.C.W.)
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (S.J.G.C.W., N.C.O.-M., W.M.M.V., Y.T.v.d.S.)
| | - Jolanda M A Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, the Netherlands (J.M.A.B., W.M.M.V.)
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (S.J.G.C.W., N.C.O.-M., W.M.M.V., Y.T.v.d.S.).,Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, the Netherlands (J.M.A.B., W.M.M.V.)
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (S.J.G.C.W., N.C.O.-M., W.M.M.V., Y.T.v.d.S.)
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9
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Ratjen I, Enderle J, Burmeister G, Koch M, Nöthlings U, Hampe J, Lieb W. Post-diagnostic reliance on plant-compared with animal-based foods and all-cause mortality in omnivorous long-term colorectal cancer survivors. Am J Clin Nutr 2021; 114:441-449. [PMID: 33964858 PMCID: PMC8326049 DOI: 10.1093/ajcn/nqab061] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 02/16/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Plant-rich diets are associated with lower cardiometabolic risks and longer survival in the general population, but their association with mortality in cancer survivors is still unclear. OBJECTIVES We aimed to examine the associations of 3 postdiagnostic plant-based diet indices with all-cause mortality in omnivorous long-term colorectal cancer (CRC) survivors. METHODS Diet was assessed with FFQs at a median of 6 years after diagnosis in 1404 CRC survivors (56% male; median age, 69 years) in a Northern German prospective cohort study. An overall, a healthful plant-based, and an unhealthful plant-based diet index were derived by scoring intakes of animal foods reversely and intakes of healthy (whole grains, vegetables, fruits, legumes, nuts, oils, tea/coffee) and less healthy plant foods (refined grains, fruit juices, sugar-sweetened beverages, potatoes, sweets/desserts) positively or reversely, depending on the index. Vital status follow-up was conducted via population registries. Cox proportional hazards regression was applied to estimate HRs for all-cause mortality according to plant-based diet adherence. RESULTS Within 7 years (median) after diet assessment, 204 deaths occurred. The overall plant-based diet index displayed a significant, inverse association with all-cause mortality (HR per 10-point increase in diet index, 0.72; 95% CI, 0.57-0.91). Although not statistically significant, higher healthful plant-based diet scores showed a strong tendency towards lower mortality (HR, 0.82; 95% CI, 0.67-1.01). The unhealthful plant-based diet index was associated with higher mortality, but lost statistical significance after multivariable adjustment (HR, 1.19; 95% CI, 0.96-1.48). A subgroup analysis revealed that the tendency towards a positive association of the unhealthful plant-based diet with mortality was restricted to less physically active individuals (<95 metabolic equivalent of task hours/week). CONCLUSIONS An overall plant-based diet was inversely associated with all-cause mortality in long-term CRC survivors. However, more research is needed to further disentangle the impacts of different qualities of plant-based diets on cancer survivors' health.
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Affiliation(s)
| | - Janna Enderle
- Institute of Epidemiology, University Hospital Schleswig-Holstein, University of Kiel, Kiel, Germany
| | - Greta Burmeister
- Department of General, Visceral, Vascular, and Transplantation Surgery, University Hospital Rostock, Rostock, Germany
| | - Manja Koch
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ute Nöthlings
- Nutritional Epidemiology, Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, Technical University Dresden, Dresden, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, University Hospital Schleswig-Holstein, University of Kiel, Kiel, Germany
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10
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Saberi Hosnijeh F, Casabonne D, Nieters A, Solans M, Naudin S, Ferrari P, Mckay JD, Benavente Y, Weiderpass E, Freisling H, Severi G, Boutron Ruault M, Besson C, Agnoli C, Masala G, Sacerdote C, Tumino R, Huerta JM, Amiano P, Rodriguez‐Barranco M, Bonet C, Barricarte A, Christakoudi S, Knuppel A, Bueno‐de‐Mesquita B, Schulze MB, Kaaks R, Canzian F, Späth F, Jerkeman M, Rylander C, Tjønneland A, Olsen A, Borch KB, Vermeulen R. Association between anthropometry and lifestyle factors and risk of B-cell lymphoma: An exposome-wide analysis. Int J Cancer 2021; 148:2115-2128. [PMID: 33128820 PMCID: PMC8048490 DOI: 10.1002/ijc.33369] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 09/28/2020] [Accepted: 10/13/2020] [Indexed: 12/12/2022]
Abstract
To better understand the role of individual and lifestyle factors in human disease, an exposome-wide association study was performed to investigate within a single-study anthropometry measures and lifestyle factors previously associated with B-cell lymphoma (BCL). Within the European Prospective Investigation into Cancer and nutrition study, 2402 incident BCL cases were diagnosed from 475 426 participants that were followed-up on average 14 years. Standard and penalized Cox regression models as well as principal component analysis (PCA) were used to evaluate 84 exposures in relation to BCL risk. Standard and penalized Cox regression models showed a positive association between anthropometric measures and BCL and multiple myeloma/plasma cell neoplasm (MM). The penalized Cox models additionally showed the association between several exposures from categories of physical activity, smoking status, medical history, socioeconomic position, diet and BCL and/or the subtypes. PCAs confirmed the individual associations but also showed additional observations. The PC5 including anthropometry, was positively associated with BCL, diffuse large B-cell lymphoma (DLBCL) and MM. There was a significant positive association between consumption of sugar and confectionary (PC11) and follicular lymphoma risk, and an inverse association between fish and shellfish and Vitamin D (PC15) and DLBCL risk. The PC1 including features of the Mediterranean diet and diet with lower inflammatory score showed an inverse association with BCL risk, while the PC7, including dairy, was positively associated with BCL and DLBCL risk. Physical activity (PC10) was positively associated with DLBCL risk among women. This study provided informative insights on the etiology of BCL.
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Affiliation(s)
- Fatemeh Saberi Hosnijeh
- Division of Environmental Epidemiology, Institute for Risk Assessment SciencesUtrecht UniversityUtrechtThe Netherlands
- Department of Immunology, Laboratory Medical Immunology, Erasmus MCUniversity Medical CenterRotterdamThe Netherlands
| | - Delphine Casabonne
- Unit of Infections and Cancer, Cancer Epidemiology Research Programme, IDIBELLCatalan Institute of OncologyBadalonaSpain
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP)MadridSpain
| | - Alexandra Nieters
- Institute for Immunodeficiency, Faculty of Medicine and Medical CenterUniversity of FreiburgFreiburgGermany
| | - Marta Solans
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Research Group on Statistics, Econometrics and Health (GRECS)University of GironaGironaSpain
| | - Sabine Naudin
- Nutritional Methodology and Biostatistics Group, International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - James D. Mckay
- Section of GeneticsInternational Agency for Research on CancerLyonFrance
| | - Yolanda Benavente
- Unit of Infections and Cancer, Cancer Epidemiology Research Programme, IDIBELLCatalan Institute of OncologyBadalonaSpain
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP)MadridSpain
| | | | - Heinz Freisling
- Nutritional Methodology and Biostatistics Group, International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Gianluca Severi
- Université Paris‐Saclay, UVSQCESP U1018 INSERMVillejuifFrance
- Gustave RoussyVillejuifFrance
- Department of Statistics, Computer Science, Applications “G. Parenti”University of FlorenceFlorenceItaly
| | | | - Caroline Besson
- Université Paris‐Saclay, UVSQCESP U1018 INSERMVillejuifFrance
- UFR sciences de la santéUniversité Versailles Saint Quentin en Yvelines, Université Paris‐Saclay, Communaute Paris‐Saclay (Carol)Saint‐AubinFrance
- Versailles Hospital, Unit of Hematology–OncologyLe ChesnayFrance
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Giovanna Masala
- Cancer Risk Factors and Life‐Style Epidemiology UnitInstitute for Cancer Research, Prevention and Clinical Network—ISPROFlorenceItaly
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University‐Hospital and Center for Cancer Prevention (CPO)TurinItaly
| | - Rosario Tumino
- Cancer Registry and Histopathology DepartmentAzienda Sanitaria ProvincialeRagusaItaly
| | - José María Huerta
- Department of EpidemiologyMurcia Regional Health Council, IMIB‐ArrixacaMurciaSpain
- CIBER Epidemiología y Salud Pública (CIBERESP)MadridSpain
| | - Pilar Amiano
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian; CIBER Epidemiología y Salud PúblicaMadridSpain
| | - Miguel Rodriguez‐Barranco
- Escuela Andaluza de Salud Pública (EASP)GranadaSpain
- Instituto de Investigación Biosanitaria ibs.GRANADAGranadaSpain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
| | - Catalina Bonet
- Unit of Nutrition and Cancer, Catalan Institute of Oncology—ICO, Nutrition and Cancer Group, Bellvitge Biomedical Research Institute—IDIBELL, L'Hospitalet de LlobregatBarcelonaSpain
| | - Aurelio Barricarte
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Navarra Public Health InstitutePamplonaSpain
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain
| | - Sofia Christakoudi
- Department of Epidemiology and BiostatisticsImperial College LondonLondonUK
- MRC Centre for TransplantationKing's College LondonLondonUK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Bas Bueno‐de‐Mesquita
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM)The Netherlands
- Department of Gastroenterology and HepatologyUniversity Medical CentreUtrechtThe Netherlands
| | - Matthias B. Schulze
- Department of Molecular EpidemiologyGerman Institute of Human Nutrition Potsdam‐RehbrueckeNuthetalGermany
- Institute of Nutritional SciencesUniversity of PotsdamNuthetalGermany
| | - Rudolf Kaaks
- Division of Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Federico Canzian
- Research Group Genomic EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Florentin Späth
- Department of Radiation Sciences, Oncology and Cancer center, Department of HematologyUmeå UniversityUmeåSweden
| | - Mats Jerkeman
- Department of OncologyLund UniversityLundSweden
- Department of OncologySkane University HospitalLundSweden
| | | | - Anne Tjønneland
- Department of Public HealthUniversity of CopenhagenCopenhagenDenmark
- Danish Cancer Society Research CenterCopenhagenDenmark
| | - Anja Olsen
- Danish Cancer Society Research CenterCopenhagenDenmark
| | | | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment SciencesUtrecht UniversityUtrechtThe Netherlands
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtThe Netherlands
- MRC‐PHE Centre for Environment and Health, Department of Epidemiology and BiostatisticsImperial College LondonLondonUK
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Cullen NC, Mälarstig AN, Stomrud E, Hansson O, Mattsson-Carlgren N. Accelerated inflammatory aging in Alzheimer's disease and its relation to amyloid, tau, and cognition. Sci Rep 2021; 11:1965. [PMID: 33479445 PMCID: PMC7820414 DOI: 10.1038/s41598-021-81705-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 01/07/2021] [Indexed: 12/17/2022] Open
Abstract
It is unclear how pathological aging of the inflammatory system relates to Alzheimer's disease (AD). We tested whether age-related inflammatory changes in cerebrospinal fluid (CSF) and plasma exist across different stages of AD, and whether such changes related to AD pathology. Linear regression was first used model chronological age in amyloid-β negative, cognitively unimpaired individuals (Aβ- CU; n = 312) based on a collection of 73 inflammatory proteins measured in both CSF and plasma. Fitted models were then applied on protein levels from Aβ+ individuals with mild cognitive impairment (Aβ+ MCI; n = 150) or Alzheimer's disease dementia (Aβ+ AD; n = 139) to test whether the age predicted from proteins alone ("inflammatory age") differed significantly from true chronological age. Aβ- individuals with subjective cognitive decline (Aβ- SCD; n = 125) or MCI (Aβ- MCI; n = 104) were used as an independent contrast group. The difference between inflammatory age and chronological age (InflammAGE score) was then assessed in relation to core AD biomarkers of amyloid, tau, and cognition. Both CSF and plasma inflammatory proteins were significantly associated with age in Aβ- CU individuals, with CSF-based proteins predicting chronological age better than plasma-based counterparts. Meanwhile, the Aβ- SCD and validation Aβ- CU groups were not characterized by significant inflammatory aging, while there was increased inflammatory aging in Aβ- MCI patients for CSF but not plasma inflammatory markers. Both CSF and plasma inflammatory changes were seen in the Aβ+ MCI and Aβ+ AD groups, with varying degrees of change compared to Aβ- CU and Aβ- SCD groups. Finally, CSF inflammatory changes were highly correlated with amyloid, tau, general neurodegeneration, and cognition, while plasma changes were mostly associated with amyloid and cognition. Inflammatory pathways change during aging and are specifically altered in AD, tracking closely with pathological hallmarks. These results have implications for tracking AD progression and for suggesting possible pathways for drug targeting.
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Affiliation(s)
- Nicholas C Cullen
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Sölvegatan 19, BMC - C11, 223 62, Lund, Sweden.
| | - A Nders Mälarstig
- Pfizer Worldwide Research & Development, Stockholm, Sweden
- Department of Medicine, Karolinska Institutet, Solna, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Sölvegatan 19, BMC - C11, 223 62, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Sölvegatan 19, BMC - C11, 223 62, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Sölvegatan 19, BMC - C11, 223 62, Lund, Sweden.
- Department of Neurology, Skåne University Hospital, Lund, Sweden.
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden.
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12
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Ratjen I, Morze J, Enderle J, Both M, Borggrefe J, Müller HP, Kassubek J, Koch M, Lieb W. Adherence to a plant-based diet in relation to adipose tissue volumes and liver fat content. Am J Clin Nutr 2020; 112:354-363. [PMID: 32453423 DOI: 10.1093/ajcn/nqaa119] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 04/28/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Better adherence to plant-based diets has been linked to lower risk of metabolic diseases but the effect on abdominal fat distribution and liver fat content is unclear. OBJECTIVES We aimed to examine the association between different plant-based diet indices and measures of abdominal fat distribution and liver fat content. METHODS In a population-based sample of 578 individuals from Northern Germany (57% male, median age 62 y), diet was assessed with a validated FFQ and an overall, a healthy, and an unhealthy plant-based diet index were derived. Participants underwent MRI to assess volumes of visceral and subcutaneous abdominal adipose tissue and liver signal intensity (LSI), a measure of liver fat content. Fatty liver disease (FLD) was defined as log LSI ≥3.0. Cross-sectional associations of the plant-based diet indices with visceral and subcutaneous abdominal fat volumes, LSI, and FLD were assessed in linear and logistic regression analyses. The most comprehensive model adjusted for age, sex, education, smoking, alcohol, physical activity, energy intake, diabetes, hyperlipidemia, and BMI. RESULTS Higher overall and healthy plant-based diet indices both revealed statistically significant associations with lower visceral and subcutaneous abdominal adipose tissue volumes and with lower odds of FLD in multivariable-adjusted models without BMI. Upon additional adjustment for BMI, only the association of the healthy plant-based diet with visceral adipose tissue remained statistically significant (per 10-point higher healthy plant-based diet index, percentage change in visceral adipose tissue: -4.9%, 95% CI: -8.6%, -2.0%). None of the plant-based diet indices was associated with LSI. The unhealthy plant-based diet index was unrelated to any of the abdominal or liver fat parameters. CONCLUSIONS Adherence to healthy plant-based diets was associated with lower visceral adipose tissue. None of the other examined associations remained statistically significant after adjustment for BMI.
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Affiliation(s)
- Ilka Ratjen
- Institute of Epidemiology, University of Kiel, Kiel, Germany
| | - Jakub Morze
- Department of Cardiology and Cardiac Surgery, University of Warmia and Mazury, Olsztyn, Poland.,Department of Human Nutrition, University of Warmia and Mazury, Olsztyn, Poland
| | - Janna Enderle
- Institute of Epidemiology, University of Kiel, Kiel, Germany
| | - Marcus Both
- Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Jan Borggrefe
- Institute of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany
| | | | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Manja Koch
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Wolfgang Lieb
- Institute of Epidemiology, University of Kiel, Kiel, Germany
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Plasma Non-Enzymatic Antioxidant Capacity (NEAC) in Relation to Dietary NEAC, Nutrient Antioxidants and Inflammation-Related Biomarkers. Antioxidants (Basel) 2020; 9:antiox9040301. [PMID: 32260517 PMCID: PMC7222170 DOI: 10.3390/antiox9040301] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 03/31/2020] [Accepted: 04/03/2020] [Indexed: 01/19/2023] Open
Abstract
(1) Background: Little is known about the interlinkages between dietary and plasma non-enzymatic antioxidant capacity (D-NEAC and P-NEAC, respectively) and the body’s antioxidant and inflammation response. Our aim was to explore these associations in 210 participants from two Spanish European Prospective Investigation into Cancer and Nutrition (EPIC) centers. (2) Methods: D-NEAC was estimated using published NEAC values in food. P-NEAC and total polyphenols (TP) were quantified by FRAP (ferric-reducing antioxidant power), TRAP (total radical-trapping antioxidant parameter), TEAC-ABTS (trolox equivalent antioxidant capacity-Azino Bis Thiazoline Sulfonic), ORAC (oxygen radical absorbance capacity) and Folin–Ciocalteu assays. Nutrient antioxidants (carotenes, α-tocopherol, ascorbic acid, retinol, uric acid, Q9 and Q10 coenzymes) and inflammation markers (IL-6, IL-8, CRP, TNF-α, PAI-I, resistin and adiponectin) were also analyzed. Spearman correlation and linear regression analyses were performed in association analyses. Analyses were stratified by covariates and groups were defined using cluster analysis. (3) Results: P-FRAP was correlated with D-NEAC, and significantly associated with P-NEAC in multivariate adjusted models. P-FRAP levels were also significantly associated with plasma antioxidants (log2 scale: TP β = 0.26; ascorbic acid β = 0.03; retinol β = 0.08; α-tocopherol β = 0.05; carotenes β = 0.02; Q10 β = 0.06; uric acid β = 0.25), though not with inflammation-related biomarkers. Different profiles of individuals with varying levels of P-NEAC and biomarkers were found. (4) Conclusions: P-NEAC levels were to some extent associated with D-NEAC and plasma antioxidants, yet not associated with inflammation response.
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14
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Hypoxia and exercise interactions on skeletal muscle insulin sensitivity in obese subjects with metabolic syndrome: results of a randomized controlled trial. Int J Obes (Lond) 2019; 44:1119-1128. [PMID: 31819201 DOI: 10.1038/s41366-019-0504-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 10/28/2019] [Accepted: 11/19/2019] [Indexed: 11/08/2022]
Abstract
BACKGROUND Physical activity improves insulin sensitivity in obesity. Hypoxia training is claimed to augment this effect. We tested the hypothesis that normobaric hypoxia training would improve insulin sensitivity in obese patients with metabolic syndrome. METHODS In a randomized controlled trial, 23 obese men with metabolic syndrome who were not informed of the FiO2 conditions underwent a 6-week physical exercise intervention under ambient (n = 11; FiO2 21%) conditions or hypoxia (n = 12; FiO2 15%) using a normobaric hypoxic chamber. Three 60-min sessions of interval training were performed each week at 60% of individual V̇O2max. Assessment of myocellular insulin sensitivity by euglycemic hyperinsulinemic clamp was performed in 21 of these subjects before and after 6 weeks of training. Comprehensive phenotyping also included biopsies of subcutaneous adipose tissues. RESULTS The intermittent moderate physical exercise protocol did not substantially change the myocellular insulin sensitivity within 6 weeks under normoxic conditions (ISIClamp: 0.035 (IQR 0.016-0.075) vs. 0.037 (IQR 0.026-0.056) mg* kg-1 *min-1/(mU* l-1); p = 0.767). In contrast, ISIClamp improved during hypoxia training (0.028 (IQR 0.018-0.035) vs. 0.038 (IQR 0.024-0.060) mg * kg-1 *min-1/(mU *l-1); p < 0.05). Between group comparison of ISIClamp change revealed a small difference between groups (Cohen's d = 0.26). Within the hypoxic group, improvement of ISIClamp during training was associated with individual increase of circulating vascular endothelial growth factor (VEGF) levels (r = 0.678, p = 0.015), even if mean VEGF levels were not modified by any training condition. Atrial natriuretic peptide (ANP) system components were not associated with increased ISIClamp during hypoxic training. CONCLUSIONS Physical training under hypoxic conditions could partially augment the favorable effects of exercise alone on myocellular insulin sensitivity in obese men with metabolic syndrome. Concomitant changes in VEGF might represent an underlying pathophysiological mechanism.
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15
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Are our diets getting healthier and more sustainable? Insights from the European Prospective Investigation into Cancer and Nutrition - Netherlands (EPIC-NL) cohort. Public Health Nutr 2019; 22:2931-2940. [PMID: 31362803 PMCID: PMC6792144 DOI: 10.1017/s1368980019001824] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Objective: To identify differences in dietary quality, dietary greenhouse gas (GHG) emissions and food consumption over 20 years in a Dutch cohort. Design: Participants (n 8932) filled out an FFQ in 1993–1997 and in 2015. The Dutch Healthy Diet index 2015 (DHD15-index) score, GHG emissions and consumption of food groups (g/4184 kJ (1000 kcal)) were compared between the time points with paired t tests. Setting: The Netherlands. Participants: European Prospective Investigation into Cancer and Nutrition – Netherlands (EPIC-NL) cohort, aged 18–65 years at baseline. Results: Total energy intake decreased by –678 (95 % CI –4908, 3377) kJ/d (–162 (95 % CI –1173, 807) kcal/d) for men and –372 (95 % CI –3820, 3130) kJ/d (–89 (95 % CI –913, 748) kcal/d) for women. DHD15-index scores increased by 11 % (from 64·8 to 71·9 points) and 13 % (from 65·2 to 73·6 points) in men and women, respectively (P < 0·0001), mainly due to an increased (shell)fish and nuts/seeds/nut paste consumption. After energy intake adjustment, dietary-related GHG emissions increased by 5 % in men (2·48–2·61 kg CO2-eq/4184 kJ (1000 kcal), P < 0·0001) and were similar in women (0·4 %, 2·70–2·71 kg CO2-eq/4184 kJ (1000 kcal), P = 0·3930) due to the increased consumption of (shell)fish, nuts/seeds/nut paste, poultry and higher GHG-intensive red meats such as beef. Conclusions: This Dutch cohort analyses showed more healthy diets without mitigated GHG emissions over a 20-year period, at similar energy intakes. Higher consumption of (shell)fish and poultry was not yet at the expense of red and processed meat. Lower consumption of animal-based foods is needed to achieve healthier as well as environmentally friendly diets.
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Baumeister SE, Schlesinger S, Aleksandrova K, Jochem C, Jenab M, Gunter MJ, Overvad K, Tjønneland A, Boutron-Ruault MC, Carbonnel F, Fournier A, Kühn T, Kaaks R, Pischon T, Boeing H, Trichopoulou A, Bamia C, La Vecchia C, Masala G, Panico S, Fasanelli F, Tumino R, Grioni S, Bueno de Mesquita B, Vermeulen R, May AM, Borch KB, Oyeyemi SO, Ardanaz E, Rodríguez-Barranco M, Dolores Chirlaque López M, Felez-Nobrega M, Sonestedt E, Ohlsson B, Hemmingsson O, Werner M, Perez-Cornago A, Ferrari P, Stepien M, Freisling H, Tsilidis KK, Ward H, Riboli E, Weiderpass E, Leitzmann MF. Association between physical activity and risk of hepatobiliary cancers: A multinational cohort study. J Hepatol 2019; 70:885-892. [PMID: 30582978 DOI: 10.1016/j.jhep.2018.12.014] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 12/05/2018] [Accepted: 12/06/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND & AIMS To date, evidence on the association between physical activity and risk of hepatobiliary cancers has been inconclusive. We examined this association in the European Prospective Investigation into Cancer and Nutrition cohort (EPIC). METHODS We identified 275 hepatocellular carcinoma (HCC) cases, 93 intrahepatic bile duct cancers (IHBCs), and 164 non-gallbladder extrahepatic bile duct cancers (NGBCs) among 467,336 EPIC participants (median follow-up 14.9 years). We estimated cause-specific hazard ratios (HRs) for total physical activity and vigorous physical activity and performed mediation analysis and secondary analyses to assess robustness to confounding (e.g. due to hepatitis virus infection). RESULTS In the EPIC cohort, the multivariable-adjusted HR of HCC was 0.55 (95% CI 0.38-0.80) comparing active and inactive individuals. Regarding vigorous physical activity, for those reporting >2 hours/week compared to those with no vigorous activity, the HR for HCC was 0.50 (95% CI 0.33-0.76). Estimates were similar in sensitivity analyses for confounding. Total and vigorous physical activity were unrelated to IHBC and NGBC. In mediation analysis, waist circumference explained about 40% and body mass index 30% of the overall association of total physical activity and HCC. CONCLUSIONS These findings suggest an inverse association between physical activity and risk of HCC, which is potentially mediated by obesity. LAY SUMMARY In a pan-European study of 467,336 men and women, we found that physical activity is associated with a reduced risk of developing liver cancers over the next decade. This risk was independent of other liver cancer risk factors, and did not vary by age, gender, smoking status, body weight, and alcohol consumption.
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Affiliation(s)
- Sebastian E Baumeister
- Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
| | - Sabrina Schlesinger
- Junior Research Group Systematic Reviews, Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | | | - Carmen Jochem
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Mazda Jenab
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Anne Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marie-Christine Boutron-Ruault
- CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France; Institut Gustave Roussy, Villejuif, France
| | - Franck Carbonnel
- CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France; Institut Gustave Roussy, Villejuif, France; Department of Gastroenterology, Bicêtre University Hospital, Assistance Publique des Hôpitaux de Paris, Le Kremlin Bicêtre, France
| | - Agnès Fournier
- CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France; Institut Gustave Roussy, Villejuif, France
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Heiner Boeing
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Christina Bamia
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Carlo La Vecchia
- Hellenic Health Foundation, Athens, Greece; Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milano, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Francesca Fasanelli
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, "Civic - M.P. Arezzo" Hospital, ASP Ragusa, Italy
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian, Milano, Italy
| | - Bas Bueno de Mesquita
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, The Netherlands; Julius Centre for Public Health Sciences and Primary Care, University Medical Centre, Utrecht, The Netherlands
| | - Anne M May
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Kristin B Borch
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Sunday O Oyeyemi
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
| | - Miguel Rodríguez-Barranco
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain; Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs, Granada, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - María Dolores Chirlaque López
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain; CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mireia Felez-Nobrega
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Emily Sonestedt
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Bodil Ohlsson
- Department of Internal Medicine, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Oskar Hemmingsson
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
| | - Mårten Werner
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Aurora Perez-Cornago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Pietro Ferrari
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Magdalena Stepien
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Heinz Freisling
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Heather Ward
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway; Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Genetic Epidemiology Group, Folkhälsan Research Center and Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
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17
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Park JY, Bueno-de-Mesquita HB, Ferrari P, Weiderpass E, de Batlle J, Tjønneland A, Kyro C, Rebours V, Boutron-Ruault MC, Mancini FR, Katzke V, Kühn T, Boeing H, Trichopoulou A, La Vecchia C, Kritikou M, Masala G, Pala V, Tumino R, Panico S, Peeters PH, Skeie G, Merino S, Duell EJ, Rodríguez-Barranco M, Dorronsoro M, Chirlaque MD, Ardanaz E, Gylling B, Schneede J, Ericson U, Sternby H, Khaw KT, Bradbury KE, Huybrechts I, Aune D, Vineis P, Slimani N. Dietary folate intake and pancreatic cancer risk: Results from the European prospective investigation into cancer and nutrition. Int J Cancer 2019; 144:1511-1521. [PMID: 30178496 DOI: 10.1002/ijc.31830] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 06/22/2018] [Accepted: 07/17/2018] [Indexed: 12/17/2022]
Abstract
Pancreatic cancer (PC) has an exceptionally low survival rate and primary prevention strategies are limited. Folate plays an important role in one-carbon metabolism and has been associated with the risk of several cancers, but not consistently with PC risk. We aimed to investigate the association between dietary folate intake and PC risk, using the standardised folate database across 10 European countries. A total of 477,206 participants were followed up for 11 years, during which 865 incident primary PC cases were recorded. Folate intake was energy-adjusted using the residual method. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. In multivariable analyses stratified by age, sex, study centre and adjusted for energy intake, smoking status, BMI, educational level, diabetes status, supplement use and dietary fibre intake, we found no significant association between folate intake and PC risk: the HR of PC risk for those in the highest quartile of folate intake (≥353 μg/day) compared to the lowest (<241 μg/day) was 0.81 (95% CI: 0.51, 1.31; ptrend = 0.38). In current smokers, a positive trend was observed in PC risk across folate quartiles [HR = 4.42 (95% CI: 1.05, 18.62) for ≥353 μg/day vs. <241 μg/day, ptrend = 0.01]. Nonetheless, there was no significant interaction between smoking and dietary folate intake (pinteraction = 0.99). We found no association between dietary folate intake and PC risk in this large European study.
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Affiliation(s)
- Jin Young Park
- International Agency for Research on Cancer, Lyon, France
| | - H Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- School of Public Health, Imperial College London, London, United Kingdom
| | - Pietro Ferrari
- International Agency for Research on Cancer, Lyon, France
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Jordi de Batlle
- Group of Translational Research in Respiratory Medicine, IRBLleida, Hospital Universitari Arnau de Vilanova and Santa Maria, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | | | - Cecilie Kyro
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Vinciane Rebours
- Pancreatology Unit, Beaujon Hospital, Clichy, France
- INSERM-UMR 1149, University Paris 7, France
| | | | - Francesca Romana Mancini
- CESP, INSERM U1018, University of Paris-Sud, UVSQ, Université Paris-Saclay, France
- Gustave Roussy, Villejuif, France
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE) Potsdam-Rehbrücke, Germany
| | | | - Carlo La Vecchia
- Hellenic Health Foundation, Athens, Greece
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | | | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network-ISPRO, Florence, Italy
| | - Valeria Pala
- Epidemiology and Prevention Unit, IRCCS Foundation National Cancer Institute, Milan, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, 'Civic-M.P. Arezzo' Hospital, ASP Ragusa, Italy
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Petra H Peeters
- School of Public Health, Imperial College London, London, United Kingdom
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | | | - Eric J Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Rodríguez-Barranco
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Miren Dorronsoro
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Dirección de Salud Pública y Adicciones, Gobierno Vasco, Vitoria, Spain
- Instituto de Investigación Sanitaria Biodonostia, San Sebastián, Spain
| | - Maria-Dolores Chirlaque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Eva Ardanaz
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Björn Gylling
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Jörn Schneede
- Department of Clinical Pharmacology, Pharmacology and Clinical Neurosciences, Umeå University, Umeå, Sweden
| | - Ulrika Ericson
- Diabetes and Cardiovascular disease, Genetic Epidemiology, Department of Clinical Sciences in Malmö, Lund University, Sweden
| | - Hanna Sternby
- Department of Surgery, Institution of Clinical Sciences Malmö, Lund University, Sweden
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Kathryn E Bradbury
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom
| | | | - Dagfinn Aune
- School of Public Health, Imperial College London, London, United Kingdom
- Bjørknes University College, Oslo, Norway
| | - Paolo Vineis
- School of Public Health, Imperial College London, London, United Kingdom
- IIGM Foundation, Turin, Italy
| | - Nadia Slimani
- International Agency for Research on Cancer, Lyon, France
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18
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Association of IL1RAP-related genetic variation with cerebrospinal fluid concentration of Alzheimer-associated tau protein. Sci Rep 2019; 9:2460. [PMID: 30792413 PMCID: PMC6385252 DOI: 10.1038/s41598-018-36650-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 11/26/2018] [Indexed: 11/13/2022] Open
Abstract
A possible involvement of the gene IL1RAP (interleukin-1 receptor-associated protein) in the pathogenesis of Alzheimer’s disease (AD) has been suggested in GWASs of cerebrospinal fluid (CSF) tau levels and longitudinal change in brain amyloid burden. The aim of this study was to examine previously implicated genetic markers in and near IL1RAP in relation to AD risk, CSF tau and Aβ biomarkers, as well as cognitive decline, in a case (AD)-control study and an age homogenous population-based cohort. Genotyping of IL1RAP-related single nucleotide polymorphisms (SNPs), selected based on previous GWAS results, was performed. 3446 individuals (1154 AD cases and 2292 controls) were included in the analyses of AD risk, 1400 individuals (cognitively normal = 747, AD = 653) in the CSF biomarker analyses, and 861 individuals in the analyses of cognitive decline. We found no relation between IL1RAP-related SNPs and AD risk. However, CSF total-tau and phospho-tau were associated with the SNP rs9877502 (p = 6 × 10−3 and p = 5 × 10−4). Further, nominal associations (p = 0.03–0.05) were found between three other SNPs and CSF biomarker levels, or levels of cognitive performance and decline in a sub-sample from the general population. These results support previous studies suggesting an association of IL1RAP with disease intensity of AD.
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Huseinovic E, Winkvist A, Freisling H, Slimani N, Boeing H, Buckland G, Schwingshackl L, Olsen A, Tjønneland A, Stepien M, Boutron-Ruault MC, Mancini F, Artaud F, Kühn T, Katzke V, Trichopoulou A, Naska A, Orfanos P, Tumino R, Masala G, Krogh V, Santucci de Magistris M, Ocké MC, Brustad M, Jensen TE, Skeie G, Rodríguez-Barranco M, Huerta JM, Ardanaz E, Quirós JR, Jakszyn P, Sonestedt E, Ericson U, Wennberg M, Key TJ, Aune D, Riboli E, Weiderpass E, Bertéus Forslund H. Timing of eating across ten European countries - results from the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study. Public Health Nutr 2019; 22:324-335. [PMID: 30326988 PMCID: PMC10260579 DOI: 10.1017/s1368980018002288] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 06/08/2018] [Accepted: 08/06/2018] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To examine timing of eating across ten European countries. DESIGN Cross-sectional analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study using standardized 24 h diet recalls collected during 1995-2000. Eleven predefined food consumption occasions were assessed during the recall interview. We present time of consumption of meals and snacks as well as the later:earlier energy intake ratio, with earlier and later intakes defined as 06.00-14.00 and 15.00-24.00 hours, respectively. Type III tests were used to examine associations of sociodemographic, lifestyle and health variables with timing of energy intake. SETTING Ten Western European countries. SUBJECTS In total, 22 985 women and 13 035 men aged 35-74 years (n 36 020). RESULTS A south-north gradient was observed for timing of eating, with later consumption of meals and snacks in Mediterranean countries compared with Central and Northern European countries. However, the energy load was reversed, with the later:earlier energy intake ratio ranging from 0·68 (France) to 1·39 (Norway) among women, and from 0·71 (Greece) to 1·35 (the Netherlands) among men. Among women, country, age, education, marital status, smoking, day of recall and season were all independently associated with timing of energy intake (all P<0·05). Among men, the corresponding variables were country, age, education, smoking, physical activity, BMI and day of recall (all P<0·05). CONCLUSIONS We found pronounced differences in timing of eating across Europe, with later meal timetables but greater energy load earlier during the day in Mediterranean countries compared with Central and Northern European countries.
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Affiliation(s)
- Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Heinz Freisling
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Nadia Slimani
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Genevieve Buckland
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Lukas Schwingshackl
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Magdalena Stepien
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Marie-Christine Boutron-Ruault
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Francesca Mancini
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Fanny Artaud
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Androniki Naska
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Philippos Orfanos
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, ‘Civic – M.P. Arezzo’ Hospital, ASP, Ragusa, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Florence, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Marga C Ocké
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | | | | | - Guri Skeie
- UiT The Arctic University of Norway, Tromsø, Norway
| | - Miguel Rodríguez-Barranco
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs. GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Eva Ardanaz
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | | | - Paula Jakszyn
- Unit of Nutrition, Environment and Cancer, L’Hospitallet de Llobregat, Barcelona, Spain
| | - Emily Sonestedt
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Ulrika Ericson
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Maria Wennberg
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, and Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Heléne Bertéus Forslund
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
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20
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Ratjen I, Shivappa N, Schafmayer C, Burmeister G, Nöthlings U, Hampe J, Hébert JR, Lieb W, Schlesinger S. Association between the dietary inflammatory index and all-cause mortality in colorectal cancer long-term survivors. Int J Cancer 2018; 144:1292-1301. [PMID: 30303515 DOI: 10.1002/ijc.31919] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 08/30/2018] [Accepted: 09/07/2018] [Indexed: 02/03/2023]
Abstract
Pro-inflammatory dietary factors have been shown to be associated with the incidence of a range of cancers. However, there are many fewer studies on the association between the inflammatory potential of diet and survival after cancer diagnosis. We examined the association between post-diagnosis dietary inflammatory index (DII®) scores and all-cause mortality in long-term survivors of colorectal cancer (CRC). DII scores were calculated from dietary data of 1,404 CRC survivors collected at a median of 6 years after CRC diagnosis. Using multivariable-adjusted Cox proportional hazards regression models, hazard ratios (HR) and 95% confidence intervals (CI) were estimated for the association of DII scores, modeled continuous and in quartiles, with all-cause mortality. After a median follow-up time of 7 years (after dietary assessment), 204 study participants had died. Overall, in the fully adjusted model there was a suggestion of a positive association between DII score and all-cause mortality (HRDIIquartile4vs1 : 1.36; 95% CI: 0.88-2.09 and HRDIIcontinuous : 1.08; 95% CI: 0.97-1.20). However, in subgroup analyses, we found significant differences in individuals with metastatic disease (HRDIIcontinuous : 1.34; 95% CI: 1.07-1.67) and the absence of stoma (HRDIIcontinuous : 1.15; 95% CI: 1.02-1.29). Overall, the post-diagnosis DII was not statistically significantly associated with all-cause mortality in CRC long-term survivors; however, there was suggestive evidence of an association in select subgroups.
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Affiliation(s)
- Ilka Ratjen
- Institute of Epidemiology, University Hospital Schleswig-Holstein, University of Kiel, Kiel, Germany
| | - Nitin Shivappa
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC.,Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.,Connecting Health Innovations LLC, Columbia, SC
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Greta Burmeister
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Ute Nöthlings
- Nutritional Epidemiology, Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, Technical University Dresden, Dresden, Germany
| | - James R Hébert
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC.,Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.,Connecting Health Innovations LLC, Columbia, SC
| | - Wolfgang Lieb
- Institute of Epidemiology, University Hospital Schleswig-Holstein, University of Kiel, Kiel, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center at Heinrich Heine University, Leibniz Institute for Diabetes Research, Düsseldorf, Germany
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21
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Ratjen I, Schafmayer C, Enderle J, di Giuseppe R, Waniek S, Koch M, Burmeister G, Nöthlings U, Hampe J, Schlesinger S, Lieb W. Health-related quality of life in long-term survivors of colorectal cancer and its association with all-cause mortality: a German cohort study. BMC Cancer 2018; 18:1156. [PMID: 30466408 PMCID: PMC6251222 DOI: 10.1186/s12885-018-5075-1] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 11/12/2018] [Indexed: 02/08/2023] Open
Abstract
Background The group of colorectal cancer (CRC) survivors continues to grow worldwide. Understanding health-related quality of life (HRQOL) determinants and consequences of HRQOL impairments in long-term CRC survivors may help to individualize survivorship care plans. We aimed to i) examine the HRQOL status of CRC long-term survivors, ii) identify cross-sectional sociodemographic and clinical correlates of HRQOL, and iii) investigate the prospective association of HRQOL after CRC diagnosis with all-cause mortality. Methods We assessed HRQOL within a Northern German cohort of 1294 CRC survivors at a median of 6 years after CRC diagnosis using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30). Cross-sectional correlates of different HRQOL dimensions were analyzed using multivariable-adjusted logistic regression models with HRQOL as a binary variable. With multivariable-adjusted Cox proportional hazards regression models, hazard ratios (HR) of all-cause mortality were estimated per 10-point-increments of an HRQOL summary score, a global quality of life scale, and HRQOL functioning and symptom domains. Results The median HRQOL summary score was 87 (interquartile range: 75–94). Sex, age, education, tumor location, metastases, other cancers, type of therapy, and current stoma were identified as correlates of different HRQOL scales. After a median follow-up time of 7 years after HRQOL assessment, 175 participants had died. Nearly all HRQOL domains, except for cognitive functioning and diarrhea, were significantly associated with all-cause mortality. A 10-point-increment in the summary score decreased the risk of death by 24% (HR: 0.76; 95% CI: 0.70–0.82). Conclusions HRQOL in CRC survivors appeared to be relatively high in the long term. Various clinical and sociodemographic factors were cross-sectionally associated with HRQOL in long-term CRC survivors. Lower HRQOL was associated with increased all-cause mortality. Individualized healthcare programs for CRC survivors (including psychosocial screening and interventions) are needed to detect decreased HRQOL and to further improve long-term HRQOL and survival. Electronic supplementary material The online version of this article (10.1186/s12885-018-5075-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ilka Ratjen
- Institute of Epidemiology, University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11, 24105, Kiel, Germany.
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Janna Enderle
- Institute of Epidemiology, University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11, 24105, Kiel, Germany
| | - Romina di Giuseppe
- Institute of Epidemiology, University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11, 24105, Kiel, Germany
| | - Sabina Waniek
- Institute of Epidemiology, University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11, 24105, Kiel, Germany
| | - Manja Koch
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Greta Burmeister
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Ute Nöthlings
- Nutritional Epidemiology, Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, Technical University Dresden, Dresden, Germany
| | - Sabrina Schlesinger
- Institute of Biometrics and Epidemiology, German Diabetes Center at Heinrich Heine University, Leibniz Institute for Diabetes Research, Düsseldorf, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11, 24105, Kiel, Germany
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22
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Vissers LET, Rijksen J, Boer JMA, Verschuren WMM, van der Schouw YT, Sluijs I. Fatty acids from dairy and meat and their association with risk of coronary heart disease. Eur J Nutr 2018; 58:2639-2647. [PMID: 30167851 PMCID: PMC6768909 DOI: 10.1007/s00394-018-1811-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 08/22/2018] [Indexed: 11/24/2022]
Abstract
PURPOSE The relationship of total, saturated, mono-unsaturated and poly-unsaturated fatty acids (SFA, MUFA, PUFA) with coronary heart disease (CHD) is debated. We hypothesized that the association of dairy-derived FA with CHD may be different than the association of meat-derived FA with CHD. We therefore aimed to directly compare association of FA intakes from dairy and meat with risk of CHD using substitution models. METHODS Baseline (1993-1997) FA intake was measured using a validated food frequency questionnaire among 35,767 participants from the European Prospective Investigation into Cancer and Nutrition-Netherlands cohort (EPIC-NL). Incident CHD events (n = 2374) were obtained through linkage with national registries during a mean follow-up of 15 years. Association of FA from dairy substituted with FA from meat with CHD risk was estimated through multivariable Cox regression. RESULTS Participants consumed 81.9 (SD 28.7) grams of FA per day, of which 17.9 (SD 5.2) was from dairy and 15.3 (SD 9.5) from meat. Substituting 1 en% of dairy-derived SFA with meat-derived SFA was associated with higher CHD risk (HR 1.06, 95% CI 1.02-1.10), but substituting dairy-derived MUFA or PUFA did not (HRMUFA 1.03, 95% CI 0.97-1.09; HRPUFA 1.17, 95% CI 0.90-1.53). CONCLUSIONS Our modelling suggests that substituting dairy SFA with meat SFA is associated with a higher risk of CHD, but substituting dairy MUFA or PUFA with meat FA is not. These results need to be replicated in other cohorts with different fat intakes, preferably with larger variation in the intake of MUFA and PUFA from dairy and meat.
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Affiliation(s)
- Linda E T Vissers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, STRT 6.131, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Jonna Rijksen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, STRT 6.131, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Jolanda M A Boer
- National institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, STRT 6.131, PO Box 85500, 3508 GA, Utrecht, The Netherlands.,National institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, STRT 6.131, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, STRT 6.131, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
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23
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Gernaat SAM, Boer JMA, van den Bongard DHJ, Maas AHEM, van der Pol CC, Bijlsma RM, Grobbee DE, Verkooijen HM, Peeters PH. The risk of cardiovascular disease following breast cancer by Framingham risk score. Breast Cancer Res Treat 2018; 170:119-127. [PMID: 29492735 PMCID: PMC5993849 DOI: 10.1007/s10549-018-4723-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 02/16/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVES This study evaluates the risk of cardiovascular disease (CVD) following breast cancer, accounting for baseline CVD risk. METHODS Within the EPIC-NL (Dutch part of the European Prospective Investigation into Nutrition and Cancer) cohort, 1103 women were diagnosed with breast cancer. For every breast cancer patient, 3-4 women without breast cancer (n = 4328) were selected matched for age, year, and time since cohort enrollment. Based on CVD risk factors at cohort enrollment, 10-year risk of CVD was calculated and categorized: low (< 10%), intermediate (10-20%), high (> 20%). Cox proportional hazard models assessed the risk of CVD events (hospitalization or mortality) and CVD mortality of women with versus without breast cancer, adjusted for baseline CVD risk. RESULTS After median follow-up of 5 and 6 years, 92 (8.3%) and 325 (7.5%) CVD events occurred in women with and without breast cancer, respectively. In the low CVD risk group, women with breast cancer had 1.44 (95% CI 1.00-2.06) times higher risk of CVD events than women without breast cancer. In the intermediate and high CVD risk categories, risk of CVD events was similar in women with and without breast cancer. Overall, women with breast cancer had 1.77 (95% CI 1.10-2.86) times higher risk of CVD mortality than women without breast cancer. CONCLUSIONS Among women with low CVD risk, women with breast cancer have a higher risk of CVD event than women without breast cancer. Overall, women with breast cancer have a higher risk of CVD mortality than women without breast cancer.
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Affiliation(s)
- Sofie A. M. Gernaat
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Present Address: Utrecht, The Netherlands
| | - Jolanda M. A. Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Utrecht University, Bilthoven, Utrecht, The Netherlands
| | | | - Angela H. E. M. Maas
- Department of Cardiology, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | | | - Rhodé M. Bijlsma
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Diederick E. Grobbee
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Helena M. Verkooijen
- Imaging Division, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Petra H. Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
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24
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Landais E, Moskal A, Mullee A, Nicolas G, Gunter MJ, Huybrechts I, Overvad K, Roswall N, Affret A, Fagherazzi G, Mahamat-Saleh Y, Katzke V, Kühn T, La Vecchia C, Trichopoulou A, Valanou E, Saieva C, Santucci de Magistris M, Sieri S, Braaten T, Skeie G, Weiderpass E, Ardanaz E, Chirlaque MD, Garcia JR, Jakszyn P, Rodríguez-Barranco M, Brunkwall L, Huseinovic E, Nilsson L, Wallström P, Bueno-de-Mesquita B, Peeters PH, Aune D, Key T, Lentjes M, Riboli E, Slimani N, Freisling H. Coffee and Tea Consumption and the Contribution of Their Added Ingredients to Total Energy and Nutrient Intakes in 10 European Countries: Benchmark Data from the Late 1990s. Nutrients 2018; 10:E725. [PMID: 29874819 PMCID: PMC6024313 DOI: 10.3390/nu10060725] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 05/31/2018] [Accepted: 06/01/2018] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Coffee and tea are among the most commonly consumed nonalcoholic beverages worldwide, but methodological differences in assessing intake often hamper comparisons across populations. We aimed to (i) describe coffee and tea intakes and (ii) assess their contribution to intakes of selected nutrients in adults across 10 European countries. METHOD Between 1995 and 2000, a standardized 24-h dietary recall was conducted among 36,018 men and women from 27 European Prospective Investigation into Cancer and Nutrition (EPIC) study centres. Adjusted arithmetic means of intakes were estimated in grams (=volume) per day by sex and centre. Means of intake across centres were compared by sociodemographic characteristics and lifestyle factors. RESULTS In women, the mean daily intake of coffee ranged from 94 g/day (~0.6 cups) in Greece to 781 g/day (~4.4 cups) in Aarhus (Denmark), and tea from 14 g/day (~0.1 cups) in Navarra (Spain) to 788 g/day (~4.3 cups) in the UK general population. Similar geographical patterns for mean daily intakes of both coffee and tea were observed in men. Current smokers as compared with those who reported never smoking tended to drink on average up to 500 g/day more coffee and tea combined, but with substantial variation across centres. Other individuals' characteristics such as educational attainment or age were less predictive. In all centres, coffee and tea contributed to less than 10% of the energy intake. The greatest contribution to total sugar intakes was observed in Southern European centres (up to ~20%). CONCLUSION Coffee and tea intake and their contribution to energy and sugar intake differed greatly among European adults. Variation in consumption was mostly driven by geographical region.
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Affiliation(s)
- Edwige Landais
- UMR Nutripass, IRD-UM-Sup'Agro, 34394 Montpellier, France.
| | - Aurélie Moskal
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Amy Mullee
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
- School of Public Health, Physiotherapy and Sports Science, Woodview House, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Geneviève Nicolas
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Inge Huybrechts
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Bartholins Alle 2, room 2.26, DK-8000 Aarhus, Denmark.
| | - Nina Roswall
- Danish Cancer Society Research Center, Diet, Genes and Environment, Strandboulevarden 49, DK-2100 Copenhagen, Denmark.
| | - Aurélie Affret
- Inserm CESP U1018, Gustave Roussy, Université Paris-Sud, Paris-Saclay, 94800 Villejuif, France.
| | - Guy Fagherazzi
- Inserm CESP U1018, Gustave Roussy, Université Paris-Sud, Paris-Saclay, 94800 Villejuif, France.
| | - Yahya Mahamat-Saleh
- Inserm CESP U1018, Gustave Roussy, Université Paris-Sud, Paris-Saclay, 94800 Villejuif, France.
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, 69120 Heidelberg, Germany.
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, 69120 Heidelberg, Germany.
| | - Carlo La Vecchia
- Hellenic Health Foundation, 115 27 Athens, Greece.
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milano, Italy.
| | | | | | - Calogero Saieva
- Molecular and Nutritional Epidemiology Unit, ISPO Cancer Prevention and Research Institute, 50139 Florence, Italy.
| | | | - Sabina Sieri
- Epidemiology and Prevention Unit Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Tonje Braaten
- Department of Community Medicine UiT, The Arctic University of Norway, 9037 Tromsø, Norway.
| | - Guri Skeie
- Department of Community Medicine UiT, The Arctic University of Norway, 9037 Tromsø, Norway.
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9037 Tromsø, Norway.
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, NO-0304 Oslo, Norway.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
- Genetic Epidemiology Group, Folkhälsan Research Center and Faculty of Medicine, University of Helsinki, 00014 Helsinkiv, Finland.
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain IdiSNA, Navarra Institute for Health Research, 31003 Pamplona, Spain.
- CIBER Epidemiology and Public Health CIBERESP, 28029 Madrid, Spain.
| | - Maria-Dolores Chirlaque
- CIBER Epidemiology and Public Health CIBERESP, 28029 Madrid, Spain.
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, 30008 Murcia, Spain.
- Department of Health and Social Sciences, Universidad de Murcia, 30008 Murcia, Spain.
| | - Jose Ramon Garcia
- EPIC Asturias, Public Health Directorate, Asturias, 33006 Oviedo, Spain.
| | - Paula Jakszyn
- Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology, 08908 Barcelona, Spain.
| | - Miguel Rodríguez-Barranco
- CIBER Epidemiology and Public Health CIBERESP, 28029 Madrid, Spain.
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs, 18011 Granada, Spain.
- Hospitales Universitarios de Granada, Universidad de Granada, 18014 Granada, Spain.
| | | | - Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
| | - Lena Nilsson
- Public Health and Clinical Medicine, Nutritional Research, Umeå University, and Arctic Research Centre at Umeå University, SE-901 85 Umeå, Sweden.
| | | | - Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London W2 1PG, UK.
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
| | - Petra H Peeters
- University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London W2 1PG, UK.
| | - Tim Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
| | - Marleen Lentjes
- Strangeways Research Laboratories, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London W2 1PG, UK.
| | - Nadia Slimani
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Heinz Freisling
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
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25
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Kröger J, Meidtner K, Stefan N, Guevara M, Kerrison ND, Ardanaz E, Aune D, Boeing H, Dorronsoro M, Dow C, Fagherazzi G, Franks PW, Freisling H, Gunter MJ, Huerta JM, Kaaks R, Key TJ, Khaw KT, Krogh V, Kühn T, Mancini FR, Mattiello A, Nilsson PM, Olsen A, Overvad K, Palli D, Quirós JR, Rolandsson O, Sacerdote C, Sala N, Salamanca-Fernández E, Sluijs I, Spijkerman AMW, Tjonneland A, Tsilidis KK, Tumino R, van der Schouw YT, Forouhi NG, Sharp SJ, Langenberg C, Riboli E, Schulze MB, Wareham NJ. Circulating Fetuin-A and Risk of Type 2 Diabetes: A Mendelian Randomization Analysis. Diabetes 2018; 67:1200-1205. [PMID: 29523632 PMCID: PMC6278908 DOI: 10.2337/db17-1268] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 02/27/2018] [Indexed: 12/11/2022]
Abstract
Fetuin-A, a hepatic-origin protein, is strongly positively associated with risk of type 2 diabetes in human observational studies, but it is unknown whether this association is causal. We aimed to study the potential causal relation of circulating fetuin-A to risk of type 2 diabetes in a Mendelian randomization study with single nucleotide polymorphisms located in the fetuin-A-encoding AHSG gene. We used data from eight European countries of the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study including 10,020 incident cases. Plasma fetuin-A concentration was measured in a subset of 965 subcohort participants and 654 case subjects. A genetic score of the AHSG single nucleotide polymorphisms was strongly associated with fetuin-A (28% explained variation). Using the genetic score as instrumental variable of fetuin-A, we observed no significant association of a 50 µg/mL higher fetuin-A concentration with diabetes risk (hazard ratio 1.02 [95% CI 0.97, 1.07]). Combining our results with those from the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) consortium (12,171 case subjects) also did not suggest a clear significant relation of fetuin-A with diabetes risk. In conclusion, although there is mechanistic evidence for an effect of fetuin-A on insulin sensitivity and secretion, this study does not support a strong, relevant relationship between circulating fetuin-A and diabetes risk in the general population.
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Affiliation(s)
- Janine Kröger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Karina Meidtner
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Centre München, University of Tübingen, Tübingen, Germany
| | - Marcela Guevara
- Navarre Public Health Institute, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (Navarra Institute for Health Research), Pamplona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | | | - Eva Ardanaz
- Navarre Public Health Institute, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (Navarra Institute for Health Research), Pamplona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
- Bjørknes University College, Oslo, Norway
| | - Heiner Boeing
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Miren Dorronsoro
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Public Health Division of Gipuzkoa, San Sebastian, Spain
- Instituto BioDonostia, Basque Government, San Sebastian, Spain
| | - Courtney Dow
- Center for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
- Paris-Sud, Paris-Saclay University, Villejuif, France
- Gustave Roussy Institute, Villejuif, France
| | - Guy Fagherazzi
- Center for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
- Paris-Sud, Paris-Saclay University, Villejuif, France
- Gustave Roussy Institute, Villejuif, France
| | - Paul W Franks
- Lund University, Malmö, Sweden
- Umeå University, Umeå, Sweden
| | - Heinz Freisling
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - José María Huerta
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca, Murcia, Spain
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | | | | | - Vittorio Krogh
- Istituto Nazionale dei Tumori, Fondazione IRCCS, Milan, Italy
| | - Tilman Kühn
- German Cancer Research Center, Heidelberg, Germany
| | - Francesca Romana Mancini
- Center for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
- Paris-Sud, Paris-Saclay University, Villejuif, France
- Gustave Roussy Institute, Villejuif, France
| | - Amalia Mattiello
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | | | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Aalborg University Hospital, Aalborg, Denmark
| | - Domenico Palli
- Cancer Research and Prevention Institute, Florence, Italy
| | | | | | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza Hospital-University of Torino, Center for Cancer Prevention, Torino, Italy
- Human Genetics Foundation, Torino, Italy
| | - Núria Sala
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, and Translational Research Laboratory, Catalan Institute of Oncology, Barcelona, Spain
| | - Elena Salamanca-Fernández
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Andalusian School of Public Health, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada, Granada, Spain
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | | | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Rosario Tumino
- Azienda Sanitaria Provinciale di Ragusa, Ragusa, Italy
- L'Associazione Iblea per la Ricerca Epidemiologica-Un'organizzazione Non Lucrativa di Utilità Sociale, Ragusa, Italy
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | | | - Elio Riboli
- School of Public Health, Imperial College London, London, U.K
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
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26
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van Roekel EH, Trijsburg L, Assi N, Carayol M, Achaintre D, Murphy N, Rinaldi S, Schmidt JA, Stepien M, Kaaks R, Kühn T, Boeing H, Iqbal K, Palli D, Krogh V, Tumino R, Ricceri F, Panico S, Peeters PH, Bueno-de-Mesquita B, Ardanaz E, Lujan-Barroso L, Quirós JR, Huerta JM, Molina-Portillo E, Dorronsoro M, Tsilidis KK, Riboli E, Rostgaard-Hansen AL, Tjønneland A, Overvad K, Weiderpass E, Boutron-Ruault MC, Severi G, Trichopoulou A, Karakatsani A, Kotanidou A, Håkansson A, Malm J, Weijenberg MP, Gunter MJ, Jenab M, Johansson M, Travis RC, Scalbert A, Ferrari P. Circulating Metabolites Associated with Alcohol Intake in the European Prospective Investigation into Cancer and Nutrition Cohort. Nutrients 2018; 10:E654. [PMID: 29789452 PMCID: PMC5986533 DOI: 10.3390/nu10050654] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 05/11/2018] [Accepted: 05/17/2018] [Indexed: 01/10/2023] Open
Abstract
Identifying the metabolites associated with alcohol consumption may provide insights into the metabolic pathways through which alcohol may affect human health. We studied associations of alcohol consumption with circulating concentrations of 123 metabolites among 2974 healthy participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Alcohol consumption at recruitment was self-reported through dietary questionnaires. Metabolite concentrations were measured by tandem mass spectrometry (BIOCRATES AbsoluteIDQTM p180 kit). Data were randomly divided into discovery (2/3) and replication (1/3) sets. Multivariable linear regression models were used to evaluate confounder-adjusted associations of alcohol consumption with metabolite concentrations. Metabolites significantly related to alcohol intake in the discovery set (FDR q-value < 0.05) were further tested in the replication set (Bonferroni-corrected p-value < 0.05). Of the 72 metabolites significantly related to alcohol intake in the discovery set, 34 were also significant in the replication analysis, including three acylcarnitines, the amino acid citrulline, four lysophosphatidylcholines, 13 diacylphosphatidylcholines, seven acyl-alkylphosphatidylcholines, and six sphingomyelins. Our results confirmed earlier findings that alcohol consumption was associated with several lipid metabolites, and possibly also with specific acylcarnitines and amino acids. This provides further leads for future research studies aiming at elucidating the mechanisms underlying the effects of alcohol in relation to morbid conditions.
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Affiliation(s)
- Eline H van Roekel
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, 6229 HA Maastricht, The Netherlands.
| | - Laura Trijsburg
- Nutritional Methodology and Biostatistics Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Nada Assi
- Nutritional Methodology and Biostatistics Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Marion Carayol
- Epidaure, Prevention Department of the Institut régional du Cancer de Montpellier (ICM), 34298 Montpellier, France.
- Laboratoire Epsylon, Paul Valery University of Montpellier, 34090 Montpellier, France.
| | - David Achaintre
- Biomarkers Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Neil Murphy
- Nutritional Epidemiology Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Sabina Rinaldi
- Biomarkers Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
| | - Magdalena Stepien
- Nutritional Epidemiology Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany.
| | - Khalid Iqbal
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany.
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute-ISPO, 50141 Florence, Italy.
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Civic-M.P.Arezzo Hospital, ASP, 97100 Ragusa, Italy.
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, 10124 Turin, Italy.
- Unit of Epidemiology, Regional Health Service ASL TO3, 10095 Turin, Italy.
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, 80138 Naples, Italy.
| | - Petra H Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands.
| | - Bas Bueno-de-Mesquita
- Former Senior Scientist, Dept. for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands.
- Former Associate Professor, Department of Gastroenterology and Hepatology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
- Visiting Professor, Dept. of Epidemiology and Biostatistics, The School of Public Health, Imperial College, London SW7 2AZ, UK.
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
| | - Eva Ardanaz
- Navarra Public Health Institute, 31003 Pamplona, Spain.
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain.
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
| | - Leila Lujan-Barroso
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
| | | | - José M Huerta
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, 30008 Murcia, Spain.
| | - Elena Molina-Portillo
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs, GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, 18010 Granada, Spain.
| | - Miren Dorronsoro
- Basque Regional Health Department, Public Health Direction and Biodonostia Research Institute CIBERESP, 20014 Donostia, Spain.
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2AZ, UK.
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, 45110 Ioannina, Greece.
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2AZ, UK.
| | | | - Anne Tjønneland
- Danish Cancer Society Research Center, 2100 Copenhagen, Denmark.
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, 8000 Aarhus, Denmark.
- Department of Cardiology, Aalborg University Hospital, 9100 Aalborg, Denmark.
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9019 Tromsø, Norway.
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, NO-0304 Oslo, Norway.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden.
- Genetic Epidemiology Group, Folkhälsan Research Center, 00290 Helsinki, Finland.
| | - Marie-Christine Boutron-Ruault
- CESP "Health across Generations", INSERM, Univ Paris-Sud, UVSQ, Univ Paris-Saclay, 94800 Villejuif, France.
- Gustave Roussy, 94800 Villejuif, France.
| | - Gianluca Severi
- CESP "Health across Generations", INSERM, Univ Paris-Sud, UVSQ, Univ Paris-Saclay, 94800 Villejuif, France.
- Gustave Roussy, 94800 Villejuif, France.
- Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.
| | - Antonia Trichopoulou
- Hellenic Health Foundation, 115 27 Athens, Greece.
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, 157 72 Athens, Greece.
| | - Anna Karakatsani
- Hellenic Health Foundation, 115 27 Athens, Greece.
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, 124 62 Haidari, Greece.
| | - Anastasia Kotanidou
- Hellenic Health Foundation, 115 27 Athens, Greece.
- 1st Department of Critical Care Medicine & Pulmonary Services, University of Athens Medical School, Evangelismos Hospital, 10675 Athens, Greece.
| | - Anders Håkansson
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Psychiatry, SE-221 00 Lund, Sweden.
| | - Johan Malm
- Department of Translational Medicine, Clinical Chemistry, Lund University, Skåne University Hospital, 205 02 Malmö, Sweden.
| | - Matty P Weijenberg
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, 6229 HA Maastricht, The Netherlands.
| | - Marc J Gunter
- Nutritional Epidemiology Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Mazda Jenab
- Nutritional Epidemiology Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Mattias Johansson
- Genetic Epidemiology Group, Section of Genetics, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
| | - Augustin Scalbert
- Biomarkers Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), 69372 Lyon, France.
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27
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Biesbroek S, Kneepkens MC, van den Berg SW, Fransen HP, Beulens JW, Peeters PHM, Boer JMA. Dietary patterns within educational groups and their association with CHD and stroke in the European Prospective Investigation into Cancer and Nutrition-Netherlands cohort. Br J Nutr 2018; 119:949-956. [PMID: 29644959 PMCID: PMC6088537 DOI: 10.1017/s0007114518000569] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 02/08/2018] [Accepted: 02/15/2018] [Indexed: 11/07/2022]
Abstract
Higher-educated people often have healthier diets, but it is unclear whether specific dietary patterns exist within educational groups. We therefore aimed to derive dietary patterns in the total population and by educational level and to investigate whether these patterns differed in their composition and associations with the incidence of fatal and non-fatal CHD and stroke. Patterns were derived using principal components analysis in 36 418 participants of the European Prospective Investigation into Cancer and Nutrition-Netherlands cohort. Self-reported educational level was used to create three educational groups. Dietary intake was estimated using a validated semi-quantitative FFQ. Hazard ratios were estimated using Cox Proportional Hazard analysis after a mean follow-up of 16 years. In the three educational groups, similar 'Western', 'prudent' and 'traditional' patterns were derived as in the total population. However, with higher educational level a lower population-derived score for the 'Western' and 'traditional' patterns and a higher score on the 'prudent' pattern were observed. These differences in distribution of the factor scores illustrate the association between education and food consumption. After adjustments, no differences in associations between population-derived dietary patterns and the incidence of CHD or stroke were found between the educational groups (P interaction between 0·21 and 0·98). In conclusion, although in general population and educational groups-derived dietary patterns did not differ, small differences between educational groups existed in the consumption of food groups in participants considered adherent to the population-derived patterns (Q4). This did not result in different associations with incident CHD or stroke between educational groups.
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Affiliation(s)
- Sander Biesbroek
- National Institute for Public Health and the Environment,
Antonie van Leeuwenhoeklaan 9, 3721 MA
Bilthoven, The Netherlands
| | - Mirjam C. Kneepkens
- National Institute for Public Health and the Environment,
Antonie van Leeuwenhoeklaan 9, 3721 MA
Bilthoven, The Netherlands
| | - Saskia W. van den Berg
- National Institute for Public Health and the Environment,
Antonie van Leeuwenhoeklaan 9, 3721 MA
Bilthoven, The Netherlands
| | - Heidi P. Fransen
- Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Universiteitsweg
100, 3584 CG Utrecht, The
Netherlands
| | - Joline W. Beulens
- Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Universiteitsweg
100, 3584 CG Utrecht, The
Netherlands
- Department of Epidemiology & Biostatistics, EMGO+
Institute for Health and Care Research, VU University Medical
Center, De Boelelaan 1105, 1081 HV
Amsterdam, The Netherlands
| | - Petra H. M. Peeters
- Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Universiteitsweg
100, 3584 CG Utrecht, The
Netherlands
- School of Public Health, Imperial College
London, South Kensington Campus, London
SW7 2AZ, UK
| | - Jolanda M. A. Boer
- National Institute for Public Health and the Environment,
Antonie van Leeuwenhoeklaan 9, 3721 MA
Bilthoven, The Netherlands
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28
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Vitamin E (α- and γ-Tocopherol) Levels in the Community: Distribution, Clinical and Biochemical Correlates, and Association with Dietary Patterns. Nutrients 2017; 10:nu10010003. [PMID: 29267223 PMCID: PMC5793231 DOI: 10.3390/nu10010003] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 12/11/2017] [Accepted: 12/18/2017] [Indexed: 12/25/2022] Open
Abstract
Little is known about the distribution and determinants of circulating vitamin E levels in a German population. In this cross-sectional study we assessed the distribution of both α- and γ-tocopherol levels, identified their clinical and biochemical correlates, and assessed their relationships with a priori and a posteriori derived dietary patterns. Plasma α- and γ-tocopherol concentrations were measured using high performance liquid chromatography (HPLC) with fluorescence detection in 641 individuals (mean-age: 61 years; 40.6% women). Correlates of both markers were determined using linear regression with backward selection. Using a validated food-frequency questionnaire (FFQ), an a priori defined vitamin E-rich dietary pattern was constructed, and three a posteriori derived dietary patterns were identified by principal component analysis. Each pattern was related to α- and γ-tocopherol levels using linear regression. Median concentrations of α- and γ-tocopherol were 31.54 μmol/L and 1.35 µmol/L, respectively. 57.6% of participants had α-tocopherol levels >30 µmol/L. Triglycerides, high density lipoprotein (HDL)- and low density lipoprotein (LDL)-cholesterol, and vitamin E supplementation were identified as correlates of vitamin E levels. After excluding supplement users, a dietary pattern rich in meat, bread, fats, potatoes, and sugar/confectionery was inversely related to α-tocopherol levels (β, −0.032, SE = 0.016; p = 0.047). Prospective studies are warranted to evaluate the actual impact of the reported findings in terms of nutrition and health outcomes.
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29
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Aleksandrova K, Jenab M, Leitzmann M, Bueno-de-Mesquita B, Kaaks R, Trichopoulou A, Bamia C, Lagiou P, Rinaldi S, Freisling H, Carayol M, Pischon T, Drogan D, Weiderpass E, Jakszyn P, Overvad K, Dahm CC, Tjønneland A, Bouton-Ruault MC, Kühn T, Peppa E, Valanou E, La Vecchia C, Palli D, Panico S, Sacerdote C, Agnoli C, Tumino R, May A, van Vulpen J, Benjaminsen Borch K, Oluwafemi Oyeyemi S, Quirós JR, Bonet C, Sánchez MJ, Dorronsoro M, Navarro C, Barricarte A, van Guelpen B, Wennberg P, Key TJ, Khaw KT, Wareham N, Assi N, Ward HA, Aune D, Riboli E, Boeing H. Physical activity, mediating factors and risk of colon cancer: insights into adiposity and circulating biomarkers from the EPIC cohort. Int J Epidemiol 2017; 46:1823-1835. [PMID: 29025032 PMCID: PMC6241846 DOI: 10.1093/ije/dyx174] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/08/2017] [Indexed: 12/11/2022] Open
Abstract
Background There is convincing evidence that high physical activity lowers the risk of colon cancer; however, the underlying biological mechanisms remain largely unknown. We aimed to determine the extent to which body fatness and biomarkers of various biologically plausible pathways account for the association between physical activity and colon cancer. Methods We conducted a nested case-control study in a cohort of 519 978 men and women aged 25 to 70 years followed from 1992 to 2003. A total of 713 incident colon cancer cases were matched, using risk-set sampling, to 713 controls on age, sex, study centre, fasting status and hormonal therapy use. The amount of total physical activity during the past year was expressed in metabolic equivalent of task [MET]-h/week. Anthropometric measurements and blood samples were collected at study baseline. Results High physical activity was associated with a lower risk of colon cancer: relative risk ≥91 MET-h/week vs <91 MET-h/week = 0.75 [95% confidence interval (CI): 0.57 to 0.96]. In mediation analyses, this association was accounted for by waist circumference: proportion explained effect (PEE) = 17%; CI: 4% to 52%; and the biomarkers soluble leptin receptor (sOB-R): PEE = 15%; 95% CI: 1% to 50% and 5-hydroxyvitamin D (25[OH]D): PEE = 30%; 95% CI: 12% to 88%. In combination, these factors explained 45% (95% CI: 20% to 125%) of the association. Beyond waist circumference, sOB-R and 25[OH]D additionally explained 10% (95% CI: 1%; 56%) and 23% (95% CI: 6%; 111%) of the association, respectively. Conclusions Promoting physical activity, particularly outdoors, and maintaining metabolic health and adequate vitamin D levels could represent a promising strategy for colon cancer prevention.
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Affiliation(s)
- Krasimira Aleksandrova
- Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Mazda Jenab
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
- Department of Gastroenterology and Hepatology, University Medical Center, Utrecht, the Netherlands
- Division of Epidemiology, Public Health and Primary Care, Imperial College, London, United Kingdom
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens (NKUA), Medical School, Athens, Greece
| | - Christina Bamia
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens (NKUA), Medical School, Athens, Greece
| | - Pagona Lagiou
- Hellenic Health Foundation, Athens, Greece
- Department of Epidemiology, Harvard School of Public Health, Boston, USA
| | - Sabina Rinaldi
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Marion Carayol
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Tobias Pischon
- Molecular Epidemiology Group, Max Delbrueck Center for Molecular Medicine (MDC), Berlin-Buch, Germany
| | - Dagmar Drogan
- Quality and Health Services Research Unit, AOK Research Institute, Berlin, Germany (DD)
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhalsan Research Center, Helsinki, Finland
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute, Barcelona, Spain
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Christina C Dahm
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Anne Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Marie-Christine Bouton-Ruault
- Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health team,F-94805, Villejuif, France
- Univ Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | | | | | - Carlo La Vecchia
- Hellenic Health Foundation, Athens, Greece
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy
| | - Salvatore Panico
- Department of clinical and experimental medicine-Federico II University, Naples, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, “M.P.Arezzo” Hospital, Ragusa, Italy
| | - Anne May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht
| | - Jonna van Vulpen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht
| | - Kristin Benjaminsen Borch
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Sunday Oluwafemi Oyeyemi
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | | | - Catalina Bonet
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute, Barcelona, Spain
| | - María-José Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria de Granada (Granada.ibs), Granada, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Spain
| | - Miren Dorronsoro
- Epidemiology and Health Information, Public Health Division of Gipuzkoa, Basque Regional Health Department, San Sebastian, Spain
| | - Carmen Navarro
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Aurelio Barricarte
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Spain
- Navarre Public Health Institute, Pamplona, Navarra, Spain
- Navarra Institute for Health Research (IdiSNA) Pamplona, Spain
| | | | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Nicholas Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Nada Assi
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Heather A Ward
- Division of Epidemiology, Public Health and Primary Care, Imperial College, London, United Kingdom
| | - Dagfinn Aune
- Division of Epidemiology, Public Health and Primary Care, Imperial College, London, United Kingdom
| | - Elio Riboli
- Division of Epidemiology, Public Health and Primary Care, Imperial College, London, United Kingdom
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
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Ratjen I, Schafmayer C, di Giuseppe R, Waniek S, Plachta-Danielzik S, Koch M, Burmeister G, Nöthlings U, Hampe J, Schlesinger S, Lieb W. Postdiagnostic physical activity, sleep duration, and TV watching and all-cause mortality among long-term colorectal cancer survivors: a prospective cohort study. BMC Cancer 2017; 17:701. [PMID: 29070017 PMCID: PMC5657114 DOI: 10.1186/s12885-017-3697-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 10/19/2017] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Lifestyle recommendations for cancer survivors are warranted to improve survival. In this study, we aimed to examine the association of total physical activity, different types of physical activity, hours of sleeping at day and night, and hours spent watching television (TV) with all-cause mortality in long-term colorectal cancer (CRC) survivors. METHODS We assessed physical activity in 1376 CRC survivors (44% women; median age, 69 years) at median 6 years after CRC diagnosis using a validated questionnaire. Multivariable-adjusted Cox regression models were used to estimate hazard ratios (HRs) for all-cause mortality according to categories of physical activities, sleep duration, and TV watching. RESULTS During a median follow-up time of 7 years, 200 participants had died. Higher total physical activity was significantly associated with lower all-cause mortality (HR: 0.53; 95% CI: 0.36-0.80, 4th vs. 1st quartile). Specifically, sports, walking, and gardening showed a significant inverse association with all-cause mortality (HR: 0.34; 95% CI: 0.20-0.59, HR: 0.65; 95% CI: 0.43-1.00, and HR: 0.62; 95% CI: 0.42-0.91, respectively for highest versus lowest category). Individuals with ≥2 h of sleep during the day had a significantly increased risk of all-cause mortality compared to individuals with no sleep at day (HR: 2.22; 95% CI: 1.43-3.44). TV viewing of ≥4 h per day displayed a significant 45% (95% CI: 1.02-2.06) higher risk of dying compared to ≤2 h per day of watching TV. CONCLUSIONS Physical activity was inversely related to all-cause mortality; specific activity types might be primarily responsible for this association. More hours of sleep during the day and a higher amount of TV viewing were each associated with higher all-cause mortality. Based on available evidence, it is reasonable to recommend CRC survivors to engage in regular physical activity.
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Affiliation(s)
- Ilka Ratjen
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11 (Haus 1), 24105, Kiel, Germany.
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Romina di Giuseppe
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11 (Haus 1), 24105, Kiel, Germany
| | - Sabina Waniek
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11 (Haus 1), 24105, Kiel, Germany
| | - Sandra Plachta-Danielzik
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11 (Haus 1), 24105, Kiel, Germany
| | - Manja Koch
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11 (Haus 1), 24105, Kiel, Germany.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Greta Burmeister
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Ute Nöthlings
- Nutritional Epidemiology, Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, Technical University Dresden, Dresden, Germany
| | - Sabrina Schlesinger
- Institute of Biometrics and Epidemiology, German Diabetes Center at Heinrich Heine University, Leibniz Institute for Diabetes Research, Düsseldorf, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, University Hospital Schleswig-Holstein, Niemannsweg 11 (Haus 1), 24105, Kiel, Germany
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31
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Waniek S, di Giuseppe R, Plachta-Danielzik S, Ratjen I, Jacobs G, Koch M, Borggrefe J, Both M, Müller HP, Kassubek J, Nöthlings U, Esatbeyoglu T, Schlesinger S, Rimbach G, Lieb W. Association of Vitamin E Levels with Metabolic Syndrome, and MRI-Derived Body Fat Volumes and Liver Fat Content. Nutrients 2017; 9:nu9101143. [PMID: 29057829 PMCID: PMC5691759 DOI: 10.3390/nu9101143] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 10/02/2017] [Accepted: 10/11/2017] [Indexed: 12/26/2022] Open
Abstract
We aimed to relate circulating α- and γ-tocopherol levels to a broad spectrum of adiposity-related traits in a cross-sectional Northern German study. Anthropometric measures were obtained, and adipose tissue volumes and liver fat were quantified by magnetic resonance imaging in 641 individuals (mean age 61 years; 40.6% women). Concentrations of α- and γ-tocopherol were measured using high performance liquid chromatography. Multivariable-adjusted linear and logistic regression were used to assess associations of circulating α- and γ-tocopherol/cholesterol ratio levels with visceral (VAT) and subcutaneous adipose tissue (SAT), liver signal intensity (LSI), fatty liver disease (FLD), metabolic syndrome (MetS), and its individual components. The α-tocopherol/cholesterol ratio was positively associated with VAT (β scaled by interquartile range (IQR): 0.036; 95%Confidence Interval (CI): 0.0003; 0.071) and MetS (Odds Ratio (OR): 1.83; 95% CI: 1.21–2.76 for 3rd vs. 1st tertile), and the γ-tocopherol/cholesterol ratio was positively associated with VAT (β scaled by IQR: 0.066; 95% CI: 0.027; 0.104), SAT (β scaled by IQR: 0.048; 95% CI: 0.010; 0.087) and MetS (OR: 1.87; 95% CI: 1.23–2.84 for 3rd vs. 1st tertile). α- and γ-tocopherol levels were positively associated with high triglycerides and low high density lipoprotein cholesterol levels (all Ptrend < 0.05). No association of α- and γ-tocopherol/cholesterol ratio with LSI/FLD was observed. Circulating vitamin E levels displayed strong associations with VAT and MetS. These observations lay the ground for further investigation in longitudinal studies.
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Affiliation(s)
- Sabina Waniek
- Institute of Epidemiology, Christian-Albrechts University of Kiel, 24105 Kiel, Germany.
| | - Romina di Giuseppe
- Institute of Epidemiology, Christian-Albrechts University of Kiel, 24105 Kiel, Germany.
| | | | - Ilka Ratjen
- Institute of Epidemiology, Christian-Albrechts University of Kiel, 24105 Kiel, Germany.
| | - Gunnar Jacobs
- Institute of Epidemiology, Christian-Albrechts University of Kiel, 24105 Kiel, Germany.
- Biobank PopGen, University Hospital Schleswig-Holstein, Campus Kiel, 24105 Kiel, Germany.
| | - Manja Koch
- Institute of Epidemiology, Christian-Albrechts University of Kiel, 24105 Kiel, Germany.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Jan Borggrefe
- Institute of Diagnostic and Interventional Radiology, University Hospital Cologne, 50937 Cologne, Germany.
| | - Marcus Both
- Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, 24105 Kiel, Germany.
| | | | - Jan Kassubek
- Department of Neurology, University of Ulm, 89081 Ulm, Germany.
| | - Ute Nöthlings
- Department of Nutrition and Food Science, University of Bonn, 53113 Bonn, Germany.
| | - Tuba Esatbeyoglu
- Institute of Human Nutrition and Food Science, Christian-Albrechts University of Kiel, 24118 Kiel, Germany.
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ) at Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
| | - Gerald Rimbach
- Institute of Human Nutrition and Food Science, Christian-Albrechts University of Kiel, 24118 Kiel, Germany.
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian-Albrechts University of Kiel, 24105 Kiel, Germany.
- Biobank PopGen, University Hospital Schleswig-Holstein, Campus Kiel, 24105 Kiel, Germany.
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32
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Fenger-Grøn M, Overvad K, Tjønneland A, Frost L. Lean Body Mass Is the Predominant Anthropometric Risk Factor for Atrial Fibrillation. J Am Coll Cardiol 2017; 69:2488-2497. [PMID: 28521886 DOI: 10.1016/j.jacc.2017.03.558] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 02/27/2017] [Accepted: 03/14/2017] [Indexed: 01/16/2023]
Abstract
BACKGROUND Obesity is repeatedly emphasized as a risk factor for atrial fibrillation or flutter (AF). However, the underlying evidence may be questioned, as the obvious correlations between various anthropometric measures hamper identification of the characteristics that are biologically driving AF risk, and recent studies suggest that fat carries limited or no independent risk of AF. OBJECTIVES This study sought to assess mutually adjusted associations among AF risk and height, weight, body mass index, hip and waist circumference, waist-to-hip ratio, and bioelectrical impedance-derived measures of fat mass, lean body mass, and fat percentage. METHODS Anthropometric measures and self-reported life-style information were collected from 1993 to 1997 in a population-based cohort including 55,273 persons age 50 to 64 years who were followed in Danish registers until June 2013. RESULTS During a median of 17 years of follow-up, 3,868 persons developed AF. Adjusted hazard ratios per population SD difference (HRs) showed highly statistically significant, positive associations for all 9 anthropometric measures (HRs ranging from 1.08 [95% confidence interval (CI): 1.05 to 1.12] for waist-to-hip ratio to 1.37 [95% CI: 1.33 to 1.42] for lean body mass). Pairwise mutual adjustment of the 9 measures left the association for lean body mass virtually unchanged (lowest HR: 1.33 [95% CI: 1.28 to 1.39] when adjusting for height), whereas no other association remained substantial when adjusted for lean body mass (highest HR: 1.05 [95% CI: 1.01 to 1.10] for height). CONCLUSIONS Lean body mass was the predominant anthropometric risk factor for AF, whereas no association was observed for either of the obesity-related anthropometric measures after adjustment for lean body mass.
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Affiliation(s)
- Morten Fenger-Grøn
- Research Unit for General Practice and Section for General Medical Practice, Department of Public Health, Aarhus University, Aarhus, Denmark.
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Lars Frost
- Department of Clinical Medicine, Aarhus University, Silkeborg Hospital, Denmark
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Biesbroek S, Verschuren WMM, Boer JMA, van de Kamp ME, van der Schouw YT, Geelen A, Looman M, Temme EHM. Does a better adherence to dietary guidelines reduce mortality risk and environmental impact in the Dutch sub-cohort of the European Prospective Investigation into Cancer and Nutrition? Br J Nutr 2017; 118:69-80. [PMID: 28768562 PMCID: PMC5579486 DOI: 10.1017/s0007114517001878] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 05/02/2017] [Accepted: 06/17/2017] [Indexed: 02/07/2023]
Abstract
Guidelines for a healthy diet aim to decrease the risk of chronic diseases. It is unclear as to what extent a healthy diet is also an environmentally friendly diet. In the Dutch sub-cohort of the European Prospective Investigation into Cancer and Nutrition, the diet was assessed with a 178-item FFQ of 40 011 participants aged 20-70 years between 1993 and 1997. The WHO's Healthy Diet Indicator (HDI), the Dietary Approaches to Stop Hypertension (DASH) score and the Dutch Healthy Diet index 2015 (DHD15-index) were investigated in relation to greenhouse gas (GHG) emissions, land use and all-cause mortality risk. GHG emissions were associated with HDI scores (-3·7 % per sd increase (95 % CI -3·4, -4·0) for men and -1·9 % (95 % CI -0·4, -3·4) for women), with DASH scores in women only (1·1 % per sd increase, 95 % CI 0·9, 1·3) and with DHD15-index scores (-2·5 % per sd increase (95 % CI -2·2, -2·8) for men and -2·0 % (95 % CI -1·9, -2·2) for women). For all indices, higher scores were associated with less land use (ranging from -1·3 to -3·1 %). Mortality risk decreased with increasing scores for all indices. Per sd increase of the indices, hazard ratios for mortality ranged from 0·88 (95 % CI 0·82, 0·95) to 0·96 (95 % CI 0·92, 0·99). Our results showed that adhering to the WHO and Dutch dietary guidelines will lower the risk of all-cause mortality and moderately lower the environmental impact. The DASH diet was associated with lower mortality and land use, but because of high dairy product consumption in the Netherlands it was also associated with higher GHG emissions.
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Affiliation(s)
- Sander Biesbroek
- Centre for Nutrition, Prevention and Health Services,
National Institutefor Public Health and the Environment (RIVM),
Antonie van Leeuwenhoeklaan 9, Bilthoven 3721
MA, The Netherlands
| | - W. M. Monique Verschuren
- Centre for Nutrition, Prevention and Health Services,
National Institutefor Public Health and the Environment (RIVM),
Antonie van Leeuwenhoeklaan 9, Bilthoven 3721
MA, The Netherlands
- Julius Centre for Health Sciences and Primary Care,
University Medical Centre Utrecht, Universiteitsweg
100, 3584 CG Utrecht, The
Netherlands
| | - Jolanda M. A. Boer
- Centre for Nutrition, Prevention and Health Services,
National Institutefor Public Health and the Environment (RIVM),
Antonie van Leeuwenhoeklaan 9, Bilthoven 3721
MA, The Netherlands
| | - Mirjam E. van de Kamp
- Centre for Nutrition, Prevention and Health Services,
National Institutefor Public Health and the Environment (RIVM),
Antonie van Leeuwenhoeklaan 9, Bilthoven 3721
MA, The Netherlands
| | - Yvonne T. van der Schouw
- Julius Centre for Health Sciences and Primary Care,
University Medical Centre Utrecht, Universiteitsweg
100, 3584 CG Utrecht, The
Netherlands
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University
& Research, PO Box 17, 6700 AA
Wageningen, The Netherlands
| | - Moniek Looman
- Division of Human Nutrition, Wageningen University
& Research, PO Box 17, 6700 AA
Wageningen, The Netherlands
| | - Elisabeth H. M. Temme
- Centre for Nutrition, Prevention and Health Services,
National Institutefor Public Health and the Environment (RIVM),
Antonie van Leeuwenhoeklaan 9, Bilthoven 3721
MA, The Netherlands
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34
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Mattsson N, Zetterberg H, Janelidze S, Insel PS, Andreasson U, Stomrud E, Palmqvist S, Baker D, Tan Hehir CA, Jeromin A, Hanlon D, Song L, Shaw LM, Trojanowski JQ, Weiner MW, Hansson O, Blennow K. Plasma tau in Alzheimer disease. Neurology 2016; 87:1827-1835. [PMID: 27694257 PMCID: PMC5089525 DOI: 10.1212/wnl.0000000000003246] [Citation(s) in RCA: 338] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Accepted: 07/12/2016] [Indexed: 01/10/2023] Open
Abstract
Objective: To test whether plasma tau is altered in Alzheimer disease (AD) and whether it is related to changes in cognition, CSF biomarkers of AD pathology (including β-amyloid [Aβ] and tau), brain atrophy, and brain metabolism. Methods: This was a study of plasma tau in prospectively followed patients with AD (n = 179), patients with mild cognitive impairment (n = 195), and cognitive healthy controls (n = 189) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and cross-sectionally studied patients with AD (n = 61), mild cognitive impairment (n = 212), and subjective cognitive decline (n = 174) and controls (n = 274) from the Biomarkers for Identifying Neurodegenerative Disorders Early and Reliably (BioFINDER) study at Lund University, Sweden. A total of 1284 participants were studied. Associations were tested between plasma tau and diagnosis, CSF biomarkers, MRI measures, 18fluorodeoxyglucose-PET, and cognition. Results: Higher plasma tau was associated with AD dementia, higher CSF tau, and lower CSF Aβ42, but the correlations were weak and differed between ADNI and BioFINDER. Longitudinal analysis in ADNI showed significant associations between plasma tau and worse cognition, more atrophy, and more hypometabolism during follow-up. Conclusions: Plasma tau partly reflects AD pathology, but the overlap between normal aging and AD is large, especially in patients without dementia. Despite group-level differences, these results do not support plasma tau as an AD biomarker in individual people. Future studies may test longitudinal plasma tau measurements in AD.
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Affiliation(s)
- Niklas Mattsson
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco.
| | - Henrik Zetterberg
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Shorena Janelidze
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Philip S Insel
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Ulf Andreasson
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Erik Stomrud
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Sebastian Palmqvist
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - David Baker
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Cristina A Tan Hehir
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Andreas Jeromin
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - David Hanlon
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Linan Song
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Leslie M Shaw
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - John Q Trojanowski
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Michael W Weiner
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Oskar Hansson
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
| | - Kaj Blennow
- From the Clinical Memory Research Unit (N.M., S.J., P.S.I., E.S., S.P., O.H.), Department of Clinical Sciences, Malmö, Lund University; Department of Neurology (N.M., E.S., O.H., S.P.), Skåne University Hospital, Lund; Clinical Neurochemistry Laboratory (H.Z., U.A., K.B.), Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Canpus, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; Janssen R&D (D.B.), Titusville, NJ; Diagnostics and Life Sciences (C.A.T.H.), GE Global Research, Niskayuna, NY; Quanterix Corporation (A.J., D.H., L.S.), Lexington, MA; Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Center for Imaging of Neurodegenerative Diseases (M.W.W.), Department of Veterans Affairs Medical Center; and Department of Radiology and Biomedical Imaging (M.W.W.), University of California, San Francisco
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Afshar S, Seymour K, Kelly SB, Woodcock S, van Hees VT, Mathers JC. Changes in physical activity after bariatric surgery: using objective and self-reported measures. Surg Obes Relat Dis 2016; 13:474-483. [PMID: 27771316 DOI: 10.1016/j.soard.2016.09.012] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 08/22/2016] [Accepted: 09/08/2016] [Indexed: 11/30/2022]
Abstract
BACKGROUND Many studies using self-reported physical activity (PA) assessment tools have suggested there is an increase in PA after bariatric surgery. OBJECTIVES Our aim was to assess PA and sedentary behavior before bariatric surgery and at 6 months after, using subjective and objective tools. SETTING Bariatric surgery candidates were recruited from a single center. METHODS Demographic data, medical history, current medications, and anthropometric measurements were recorded. Participants were asked to complete a PA and lifestyle questionnaire and to wear an accelerometer on their nondominant wrist. Data were collected before and at 6 months after surgery. RESULTS Twenty-two participants were included (17 gastric bypass; 4 sleeve gastrectomy; 1 intragastric balloon). Mean age was 46 years and the majority were female (72%). At a median of 6.3 months follow-up, there were significant reductions in measures of body fatness with a mean reduction of 27 kg in weight. The majority of daytime (12.5±1.1 out of 16 h) was spent in sedentary behavior presurgery with little change postsurgery (12.2±1.2; P = .186). Objectively measured mean moderate-vigorous PA did not change significantly from pre- to postsurgery (mean 11.5±13.9 and 11.6±13.1 min/d, respectively; P = .971). Self-reported total nonoccupational PA did not change significantly (P = .390). CONCLUSIONS The majority of bariatric surgery candidates were physically inactive presurgery, and there was no significant change in either subjectively or objectively measured PA at follow-up. This patient group may benefit from objective PA assessment and interventions aimed at increasing PA.
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Affiliation(s)
- Sorena Afshar
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Campus for Ageing and Vitality, Newcastle on Tyne, UK; Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, UK.
| | - Keith Seymour
- Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, UK
| | - Seamus B Kelly
- Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, UK
| | - Sean Woodcock
- Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, UK
| | | | - John C Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Campus for Ageing and Vitality, Newcastle on Tyne, UK
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Vissers LE, Dalmeijer GW, Boer JM, Verschuren WM, van der Schouw YT, Beulens JW. The relationship between vitamin K and peripheral arterial disease. Atherosclerosis 2016; 252:15-20. [DOI: 10.1016/j.atherosclerosis.2016.07.915] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 07/20/2016] [Accepted: 07/21/2016] [Indexed: 01/07/2023]
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Loyen A, Van Hecke L, Verloigne M, Hendriksen I, Lakerveld J, Steene-Johannessen J, Vuillemin A, Koster A, Donnelly A, Ekelund U, Deforche B, De Bourdeaudhuij I, Brug J, van der Ploeg HP. Variation in population levels of physical activity in European adults according to cross-European studies: a systematic literature review within DEDIPAC. Int J Behav Nutr Phys Act 2016; 13:72. [PMID: 27350359 PMCID: PMC4924233 DOI: 10.1186/s12966-016-0398-2] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 06/11/2016] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Physical inactivity is a well-known public health risk that should be monitored at the population level. Physical activity levels are often surveyed across Europe. This systematic literature review aims to provide an overview of all existing cross-European studies that assess physical activity in European adults, describe the variation in population levels according to these studies, and discuss the impact of the assessment methods. METHODS Six literature databases (PubMed, EMBASE, CINAHL, PsycINFO, SportDiscus and OpenGrey) were searched, supplemented with backward- and forward tracking and searching authors' and experts' literature databases. Articles were included if they reported on observational studies measuring total physical activity and/or physical activity in leisure time in the general population in two or more European countries. Each record was reviewed, extracted and assessed by two independent researchers and disagreements were resolved by a third researcher. The review protocol of this review is registered in the PROSPERO database under registration number CRD42014010334. RESULTS Of the 9,756 unique identified articles, twenty-five were included in this review, reporting on sixteen different studies, including 2 to 35 countries and 321 to 274,740 participants. All but two of the studies used questionnaires to assess physical activity, with the majority of studies using the IPAQ-short questionnaire. The remaining studies used accelerometers. The percentage of participants who either were or were not meeting the physical activity recommendations was the most commonly reported outcome variable, with the percentage of participants meeting the recommendations ranging from 7% to 96% across studies and countries. CONCLUSIONS The included studies showed substantial variation in the assessment methods, reported outcome variables and, consequently, the presented physical activity levels. Because of this, absolute population levels of physical activity in European adults are currently unknown. However, when ranking countries, Ireland, Italy, Malta, Portugal, and Spain generally appear to be among the less active countries. Objective data of adults across Europe is currently limited. These findings highlight the need for standardisation of the measurement methods, as well as cross-European monitoring of physical activity levels.
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Affiliation(s)
- Anne Loyen
- />Department of Epidemiology and Biostatistics, VU University Medical Center, EMGO+ Institute for Health and Care Research, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
| | - Linde Van Hecke
- />Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, De Pintelaan 185, 9000 Ghent, Belgium
- />Physical activity, Nutrition and Health Research Unit, Department of Movement and Sport Sciences, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Maïté Verloigne
- />Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000 Ghent, Belgium
| | - Ingrid Hendriksen
- />TNO Expertise Centre Lifestyle, Schipholweg 77-89, 2316 ZL Leiden, The Netherlands
- />Body@Work, EMGO+ Institute for Health and Care Research, VU University Medical Center, van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
| | - Jeroen Lakerveld
- />Department of Epidemiology and Biostatistics, VU University Medical Center, EMGO+ Institute for Health and Care Research, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
| | - Jostein Steene-Johannessen
- />Department of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, PO Box 4014, 0806 Oslo, Norway
| | - Anne Vuillemin
- />Faculty of Sport Sciences, EA 4360 APEMAC, University of Lorraine, 30 rue du Jardin Botanique, CS 30156, 54600 Villers-lès-Nancy cedex Nancy, France
| | - Annemarie Koster
- />Department of Social Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, PO BOX 616, 6200MD Maastricht, The Netherlands
| | - Alan Donnelly
- />Department of Physical Education and Sport Sciences, Centre for Physical Activity and Health Research, University of Limerick, Limerick, Ireland
| | - Ulf Ekelund
- />Department of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, PO Box 4014, 0806 Oslo, Norway
| | - Benedicte Deforche
- />Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, De Pintelaan 185, 9000 Ghent, Belgium
- />Physical activity, Nutrition and Health Research Unit, Department of Movement and Sport Sciences, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Ilse De Bourdeaudhuij
- />Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000 Ghent, Belgium
| | - Johannes Brug
- />Department of Epidemiology and Biostatistics, VU University Medical Center, EMGO+ Institute for Health and Care Research, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
| | - Hidde P. van der Ploeg
- />Department of Public and Occupational Health, VU University Medical Center, EMGO Institute for Health and Care Research, van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
- />Sydney School of Public Health, The Charles Perkins Centre (D17), University of Sydney, 2006 NSW Sydney, Australia
| | - on behalf of the DEDIPAC consortium
- />Department of Epidemiology and Biostatistics, VU University Medical Center, EMGO+ Institute for Health and Care Research, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
- />Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, De Pintelaan 185, 9000 Ghent, Belgium
- />Physical activity, Nutrition and Health Research Unit, Department of Movement and Sport Sciences, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
- />Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000 Ghent, Belgium
- />TNO Expertise Centre Lifestyle, Schipholweg 77-89, 2316 ZL Leiden, The Netherlands
- />Body@Work, EMGO+ Institute for Health and Care Research, VU University Medical Center, van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
- />Department of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, PO Box 4014, 0806 Oslo, Norway
- />Faculty of Sport Sciences, EA 4360 APEMAC, University of Lorraine, 30 rue du Jardin Botanique, CS 30156, 54600 Villers-lès-Nancy cedex Nancy, France
- />Department of Social Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, PO BOX 616, 6200MD Maastricht, The Netherlands
- />Department of Physical Education and Sport Sciences, Centre for Physical Activity and Health Research, University of Limerick, Limerick, Ireland
- />Department of Public and Occupational Health, VU University Medical Center, EMGO Institute for Health and Care Research, van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
- />Sydney School of Public Health, The Charles Perkins Centre (D17), University of Sydney, 2006 NSW Sydney, Australia
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Distribution of energy intake throughout the day and weight gain: a population-based cohort study in Spain. Br J Nutr 2016; 115:2003-10. [DOI: 10.1017/s0007114516000891] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
AbstractExperimental research suggests that food timing is associated with weight regulation. However, the association between the distribution of energy intake (EI) throughout the day and weight gain in the population is uncertain. A cohort of 4243 individuals (49·9 % men, 50·1 % women) aged ≥18 years was selected in 2008–2010 and followed-up through 2012. At baseline, food consumption for a typical week in the previous year was collected with a validated dietary history, and EI was assessed at six eating occasions: breakfast, mid-morning meal, lunch, mid-afternoon meal, dinner and snacking (at any other moment). Individuals were classified into sex-specific quartiles of %EI for each eating occasion. The cut-off points for increasing quartiles of %EI at lunch were 34·4, 40·8 and 47·7 % in men and 33·2, 39·4 and 46·1 % in women. Weight was self-reported at baseline and at the end of follow-up. During a 3·5-year follow-up, 16·3 % of study participants gained >3 kg. Compared with those in the lowest quartile of %EI at lunch, the multivariate OR of gaining >3 kg was 0·79 (95 % CI 0·63, 0·99) in the second quartile, 0·82 (95 % CI 0·64, 1·04) in the third quartile and 0·62 (95 % CI 0·47, 0·80) in the highest quartile (Ptrend: 0·001). The association was stronger among women and those with overweight or obesity. No association was found between the %EI at the rest of the eating occasions and weight gain. In conclusion, a higher %EI at lunch was associated with a lower risk of weight gain; this may help weight control through the appropriate distribution of daily EI.
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Ascherio A, O'Reilly EJ. New insights on physical activity and amyotrophic lateral sclerosis. Eur J Epidemiol 2016; 31:213-5. [PMID: 26955829 DOI: 10.1007/s10654-016-0133-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 02/24/2016] [Indexed: 11/24/2022]
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Ordóñez-Mena JM, Schöttker B, Fedirko V, Jenab M, Olsen A, Halkjær J, Kampman E, de Groot L, Jansen E, Bueno-de-Mesquita HB, Peeters PH, Siganos G, Wilsgaard T, Perna L, Holleczek B, Pettersson-Kymmer U, Orfanos P, Trichopoulou A, Boffetta P, Brenner H. Pre-diagnostic vitamin D concentrations and cancer risks in older individuals: an analysis of cohorts participating in the CHANCES consortium. Eur J Epidemiol 2016; 31:311-23. [PMID: 25977096 DOI: 10.1007/s10654-015-0040-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 05/04/2015] [Indexed: 12/14/2022]
Abstract
The associations of circulating 25-hydroxyvitamin D [25(OH)D] concentrations with total and site-specific cancer incidence have been examined in several epidemiological studies with overall inconclusive findings. Very little is known about the association of vitamin D with cancer incidence in older populations. We assessed the association of pre-diagnostic serum 25(OH)D levels with incidence of all cancers combined and incidence of lung, colorectal, breast, prostate and lymphoid malignancies among older adults. Pre-diagnostic 25(OH)D concentrations and cancer incidence were available in total for 15,486 older adults (mean age 63, range 50-84 years) participating in two cohort studies: ESTHER (Germany) and TROMSØ (Norway); and a subset of previously published nested-case control data from a another cohort study: EPIC-Elderly (Greece, Denmark, Netherlands, Spain and Sweden) from the CHANCES consortium on health and aging. Cox proportional hazards or logistic regression were used to derive multivariable adjusted hazard and odds ratios, respectively, and their 95% confidence intervals across 25(OH)D categories. Meta-analyses with random effects models were used to pool study-specific risk estimates. Overall, lower 25(OH)D concentrations were not significantly associated with increased incidence of most of the cancers assessed. However, there was some evidence of increased breast cancer and decreased lymphoma risk with higher 25(OH)D concentrations. Our meta-analyses with individual participant data from three large European population-based cohort studies provide at best limited support for the hypothesis that vitamin D may have a major role in cancer development and prevention among European older adults.
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Affiliation(s)
- José Manuel Ordóñez-Mena
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
- Network of Aging Research, Heidelberg University, Heidelberg, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Veronika Fedirko
- Rollins School of Public Health, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Mazda Jenab
- International Agency for Research on Cancer, Lyon, France
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ellen Kampman
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Lisette de Groot
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Eugene Jansen
- Center for Health Protection, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - H Bas Bueno-de-Mesquita
- Department of Chronic Diseases, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Division of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Petra H Peeters
- Division of Epidemiology, Public Health and Primary Care, Imperial College London, London, UK
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - Galatios Siganos
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Laura Perna
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | | | | | - Philippos Orfanos
- Hellenic Health Foundation, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens, Medical School, Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens, Medical School, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece
- The Tisch Cancer Institute and Institute for Translational Epidemiology, Mount Sinai School of Medicine, New York, NY, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
- The German Cancer Consortium, Heidelberg, Germany.
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Gallo V, Vanacore N, Bueno-de-Mesquita HB, Vermeulen R, Brayne C, Pearce N, Wark PA, Ward HA, Ferrari P, Jenab M, Andersen PM, Wennberg P, Wareham N, Katzke V, Kaaks R, Weiderpass E, Peeters PH, Mattiello A, Pala V, Barricante A, Chirlaque MD, Travier N, Travis RC, Sanchez MJ, Pessah-Rasmussen H, Petersson J, Tjønneland A, Tumino R, Quiros JR, Trichopoulou A, Kyrozis A, Oikonomidou D, Masala G, Sacerdote C, Arriola L, Boeing H, Vigl M, Claver-Chapelon F, Middleton L, Riboli E, Vineis P. Physical activity and risk of Amyotrophic Lateral Sclerosis in a prospective cohort study. Eur J Epidemiol 2016; 31:255-66. [PMID: 26968841 PMCID: PMC4820490 DOI: 10.1007/s10654-016-0119-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Accepted: 01/12/2016] [Indexed: 12/12/2022]
Abstract
Previous case-control studies have suggested a possible increased risk of Amyotrophic Lateral Sclerosis (ALS) with physical activity (PA), but this association has never been studied in prospective cohort studies. We therefore assessed the association between PA and risk of death from ALS in the European Prospective Investigation into Cancer and Nutrition. A total of 472,100 individuals were included in the analysis, yielding 219 ALS deaths. At recruitment, information on PA was collected thorough standardised questionnaires. Total PA was expressed by the Cambridge Physical Activity Index (CPAI) and analysed in relation to ALS mortality, using Cox hazard models. Interactions with age, sex, and anthropometric measures were assessed. Total PA was weakly inversely associated with ALS mortality with a borderline statistically significant trend across categories (p = 0.042), with those physically active being 33% less likely to die from ALS compared to those inactive: HR = 0.67 (95% CI 0.42-1.06). Anthropometric measures, sex, and age did not modify the association with CPAI. The present study shows a slightly decreased-not increased like in case-control studies-risk of dying from ALS in those with high levels of total PA at enrolment. This association does not appear confounded by age, gender, anthropometry, smoking, and education. Ours was the first prospective cohort study on ALS and physical activity.
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Affiliation(s)
- Valentina Gallo
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus - Norfolk Place, W2 1PG, London, UK.
- Barts and the London School of Medicine, Centre for Primary Care and Public Health, Queen Mary, University of London, London, UK.
| | | | - H Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus - Norfolk Place, W2 1PG, London, UK
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Carol Brayne
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Neil Pearce
- Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Petra A Wark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus - Norfolk Place, W2 1PG, London, UK
| | - Heather A Ward
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus - Norfolk Place, W2 1PG, London, UK
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mazda Jenab
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Peter M Andersen
- Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Nicholas Wareham
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, The Artic University of Norway, Tromsö, Norway
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Folkhälsan Research Center, University of Helsinki, Helsinki, Finland
| | - Petra H Peeters
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus - Norfolk Place, W2 1PG, London, UK
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Amalia Mattiello
- Department of Clinical and Experimental Medicine, Federico II University, Naples, Italy
| | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Aurelio Barricante
- Navarre Public Health Institute, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
| | - Maria-Dolores Chirlaque
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
- Epidemiology Department, Murcia Regional Health Council, Murcia, Spain
| | - Noémie Travier
- Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ruth C Travis
- Cancer Epidemiological Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Maria-Jose Sanchez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
- Andalusian School of Public Health, Granada, Spain
| | | | - Jesper Petersson
- Department of Neurology, Skåne University Hospital, Lund University, Malmö, Sweden
| | | | - Rosario Tumino
- Ragusa Cancer Registry, Azienda Ospedaliera "Civile MP Arezzo", Ragusa, Italy
| | | | | | - Andreas Kyrozis
- Hellenic Health Foundation, Athens, Greece
- First Department of Neurology, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy
| | - Carlotta Sacerdote
- Centre for Cancer Prevention (CPO-Piemonte), Turin, Italy
- Human Genetic Foundation (HuGeF), Turin, Italy
| | - Larraitz Arriola
- Public Health Division of Gipuzkoa, Donostia-San Sebastian, Spain
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam, Germany
| | - Matthaeus Vigl
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam, Germany
| | - Francoise Claver-Chapelon
- Inserm, Centre for Research in Epidemiology and Population Health, Institut Gustave-Roussy, Villejuif, France
| | - Lefkos Middleton
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus - Norfolk Place, W2 1PG, London, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus - Norfolk Place, W2 1PG, London, UK
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus - Norfolk Place, W2 1PG, London, UK
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Racine A, Carbonnel F, Chan SSM, Hart AR, Bueno-de-Mesquita HB, Oldenburg B, van Schaik FDM, Tjønneland A, Olsen A, Dahm CC, Key T, Luben R, Khaw KT, Riboli E, Grip O, Lindgren S, Hallmans G, Karling P, Clavel-Chapelon F, Bergman MM, Boeing H, Kaaks R, Katzke VA, Palli D, Masala G, Jantchou P, Boutron-Ruault MC. Dietary Patterns and Risk of Inflammatory Bowel Disease in Europe: Results from the EPIC Study. Inflamm Bowel Dis 2016; 22:345-54. [PMID: 26717318 DOI: 10.1097/mib.0000000000000638] [Citation(s) in RCA: 165] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Specific nutrients or foods have been inconsistently associated with ulcerative colitis (UC) or Crohn's disease (CD) risks. Thus, we investigated associations between diet as a whole, as dietary patterns, and UC and CD risks. METHODS Within the prospective EPIC (European Prospective Investigation into Cancer) study, we set up a nested matched case-control study among 366,351 participants with inflammatory bowel disease data, including 256 incident cases of UC and 117 of CD, and 4 matched controls per case. Dietary intake was recorded at baseline from validated food frequency questionnaires. Incidence rate ratios of developing UC and CD were calculated for quintiles of the Mediterranean diet score and a posteriori dietary patterns produced by factor analysis. RESULTS No dietary pattern was associated with either UC or CD risks. However, when excluding cases occurring within the first 2 years after dietary assessment, there was a positive association between a "high sugar and soft drinks" pattern and UC risk (incidence rate ratios for the fifth versus first quintile, 1.68 [1.00-2.82]; Ptrend = 0.02). When considering the foods most associated with the pattern, high consumers of sugar and soft drinks were at higher UC risk only if they had low vegetables intakes. CONCLUSIONS A diet imbalance with high consumption of sugar and soft drinks and low consumption of vegetables was associated with UC risk. Further studies are needed to investigate whether microbiota alterations or other mechanisms mediate this association.
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Affiliation(s)
- Antoine Racine
- 1INSERM, Centre for Research in Epidemiology and Population, Health, UMR1018, Institut Gustave Roussy, Université Paris Sud, Villejuif, France; 2Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique Hôpitaux de Paris, Université Paris-Sud, Le Kremlin Bicêtre, France; 3Department of Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom; 4Department of Gastroenterology, Norfolk and Norwich University Hospital NHS Trust, Norwich, United Kingdom; 5Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; 6Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands; 7Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; 8Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; 9Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark; 10Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark; 11Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; 12Strangeways Research Laboratory, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom; 13Division of Epidemiology, Imperial College London, London, United Kingdom; 14Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden; 15Department of Public Health and Clinical Medicine, Nutritional Research, Umea University, Umea, Sweden; 16Department of Public Health and Clinical Medicine, GI unit, Umea University, Umea, Sweden; 17Department of Epidemiology, German Institute of Human Nutrition, Potsdam, Germany; 18Division of Clinical Epidemiology, DKFZ-German Cancer Research Centre Heidelberg, Heidelberg, Germany; 19Molecular and Nutritional Epidemio
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Palmqvist S, Zetterberg H, Mattsson N, Johansson P, Minthon L, Blennow K, Olsson M, Hansson O. Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease. Neurology 2015; 85:1240-9. [PMID: 26354982 PMCID: PMC4607601 DOI: 10.1212/wnl.0000000000001991] [Citation(s) in RCA: 226] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 06/03/2015] [Indexed: 11/15/2022] Open
Abstract
Objective: To compare the diagnostic accuracy of CSF biomarkers and amyloid PET for diagnosing early-stage Alzheimer disease (AD). Methods: From the prospective, longitudinal BioFINDER study, we included 122 healthy elderly and 34 patients with mild cognitive impairment who developed AD dementia within 3 years (MCI-AD). β-Amyloid (Aβ) deposition in 9 brain regions was examined with [18F]-flutemetamol PET. CSF was analyzed with INNOTEST and EUROIMMUN ELISAs. The results were replicated in 146 controls and 64 patients with MCI-AD from the Alzheimer's Disease Neuroimaging Initiative study. Results: The best CSF measures for identifying MCI-AD were Aβ42/total tau (t-tau) and Aβ42/hyperphosphorylated tau (p-tau) (area under the curve [AUC] 0.93–0.94). The best PET measures performed similarly (AUC 0.92–0.93; anterior cingulate, posterior cingulate/precuneus, and global neocortical uptake). CSF Aβ42/t-tau and Aβ42/p-tau performed better than CSF Aβ42 and Aβ42/40 (AUC difference 0.03–0.12, p < 0.05). Using nonoptimized cutoffs, CSF Aβ42/t-tau had the highest accuracy of all CSF/PET biomarkers (sensitivity 97%, specificity 83%). The combination of CSF and PET was not better than using either biomarker separately. Conclusions: Amyloid PET and CSF biomarkers can identify early AD with high accuracy. There were no differences between the best CSF and PET measures and no improvement when combining them. Regional PET measures were not better than assessing the global Aβ deposition. The results were replicated in an independent cohort using another CSF assay and PET tracer. The choice between CSF and amyloid PET biomarkers for identifying early AD can be based on availability, costs, and doctor/patient preferences since both have equally high diagnostic accuracy. Classification of evidence: This study provides Class III evidence that amyloid PET and CSF biomarkers identify early-stage AD equally accurately.
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Affiliation(s)
- Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.
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Cloostermans L, Picavet HSJ, Bemelmans WJE, Verschuren WMM, Proper KI. Psychological distress as a determinant of changes in body mass index over a period of 10years. Prev Med 2015; 77:17-22. [PMID: 25937590 DOI: 10.1016/j.ypmed.2015.04.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Revised: 04/19/2015] [Accepted: 04/26/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To examine the longitudinal relationship between psychological distress and body mass index (BMI) changes over a period of five and ten years. METHOD Data were used from the Dutch, prospective, population based Doetinchem Cohort study over the period 1995/1999 until 2005/2009 (N=5504). Psychological distress was assessed using the Mental Health Inventory (MHI-5). BMI (kg/m(2)) was calculated from measured body height and body weight. GEE analyses were used to examine the relationship between psychological distress at baseline and BMI change, and the development of overweight over five years. Linear and logistic regression analyses were used to examine these relations over ten years. RESULTS Psychological distress predicted an extra overall increase in BMI of 0.14kg/m(2) (95% CI 0.03-0.25) over five years and an increase of 0.18kg/m(2) (95% CI 0.01-0.35) over ten years, when comparing psychologically distressed participants to psychologically healthy participants. This was especially the case among persons with normal weight (five years; B=0.26kg/m(2), 95% CI=0.12-0.40/ten years; B=0.32kg/m(2) 95% CI=0.11-0.53) and moderate overweight (five years: B=0.18kg/m(2), 95% CI=0.02-0.35) at baseline. Psychological distress did not predict the development of overweight five and ten years later. CONCLUSION The results in this study indicated that psychological distress predicted an increased risk in gaining weight, but did not result in an increased risk for developing overweight.
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Affiliation(s)
- Laura Cloostermans
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - H Susan J Picavet
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Wanda J E Bemelmans
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Karin I Proper
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands; Department of Public and Occupational Health Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
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Biesbroek S, van der A DL, Brosens MCC, Beulens JWJ, Verschuren WMM, van der Schouw YT, Boer JMA. Identifying cardiovascular risk factor-related dietary patterns with reduced rank regression and random forest in the EPIC-NL cohort. Am J Clin Nutr 2015; 102:146-54. [PMID: 25971717 DOI: 10.3945/ajcn.114.092288] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Accepted: 04/03/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Several methods are used to determine dietary patterns. Hybrid methods incorporate information on nutrient intake or biological factors to extract patterns relevant to disease etiology. OBJECTIVE We explore differences between patterns derived with 2 hybrid methods with those obtained by a posteriori methods and compare associations of these patterns with coronary artery disease (CAD) and stroke risk. DESIGN Food-frequency questionnaires were used to estimate dietary intake in 34,644 participants of European Prospective Investigation into Cancer-Netherlands at baseline (1993-1997). Follow-up was complete until 31 December 2007. Hybrid methods to determine dietary patterns were reduced rank regression (RRR) and random forest with classification tree analysis (RF-CTA). Included risk factors were body mass index, total:high-density lipoprotein cholesterol ratio, and systolic blood pressure. Results were compared with those from principal component analysis (PCA) and k-means cluster analysis (KCA), respectively. RESULTS Both RRR and PCA derived a "Western," "prudent," and "traditional pattern." All RRR patterns were significantly associated with CAD risk [highest vs. lowest quartile factor score; HR: 1.45 (95% CI: 1.25, 1.69), 0.86 (0.74, 0.99), and 1.25 (1.07, 1.47), respectively]. Only the prudent RRR factor was statistically significant associated with stroke (HR: 0.76; 95% CI: 0.59, 0.97). From the PCA patterns, only the traditional pattern was associated with CAD (HR: 1.29; 95% CI: 1.11, 1.50). RF-CTA derived 7 dietary patterns that could be categorized as "Western-like," "prudent-like," and "traditional-like." KCA established a prudent and Western cluster. Compared with the RF-CTA "prudent-like 1" pattern, only the "traditional-like 1" pattern was associated with CAD (HR: 1.36; 955 CI: 1.12, 1.65). None of the RF-CTA groups were associated with stroke. Compared with the Western KCA cluster, the prudent cluster was not associated with CAD or stroke. CONCLUSION Including risk factors in RRR and RF-CTA resulted in small differences in food groups, contributing to similar patterns that showed in general stronger associations with CAD than PCA and KCA, respectively.
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Affiliation(s)
- Sander Biesbroek
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, and
| | - Daphne L van der A
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, and
| | - Marinka C C Brosens
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, and
| | - Joline W J Beulens
- Julius Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - W M Monique Verschuren
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, and
| | | | - Jolanda M A Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, and
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The combined impact of adherence to five lifestyle factors on all-cause, cancer and cardiovascular mortality: a prospective cohort study among Danish men and women. Br J Nutr 2015; 113:849-58. [PMID: 25690300 DOI: 10.1017/s0007114515000070] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Individual lifestyle factors have been associated with lifestyle diseases and premature mortality by an accumulating body of evidence. The impact of a combination of lifestyle factors on mortality has been investigated in several studies, but few have applied a simple index taking national guidelines into account. The objective of the present prospective cohort study was to investigate the combined impact of adherence to five lifestyle factors (smoking, alcohol intake, physical activity, waist circumference and diet) on all-cause, cancer and cardiovascular mortality based on international and national health recommendations. A Cox proportional hazards model was used to estimate hazard ratios (HR) with 95 % CI. During a median follow-up of 14 years, 3941 men and 2827 women died. Among men, adherence to one additional health recommendation was associated with an adjusted HR of 0·73 (95 % CI 0·71, 0·75) for all-cause mortality, 0·74 (95 % CI 0·71, 0·78) for cancer mortality and 0·70 (95 % CI 0·65, 0·75) for cardiovascular mortality. Among women, the corresponding HR was 0·72 (95 % CI 0·70, 0·75) for all-cause mortality, 0·76 (95 % CI 0·73, 0·80) for cancer mortality and 0·63 (95 % CI 0·57, 0·70) for cardiovascular mortality. In the present study, adherence to merely one additional health recommendation had a protective effect on mortality risk, indicating a huge potential in enhancing healthy lifestyle behaviours of the population.
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Struijk EA, May AM, Beulens JWJ, Fransen HP, de Wit GA, Boer JMA, Onland-Moret NC, Hoekstra J, van der Schouw YT, Bueno-de-Mesquita HB, Peeters PHM. Adherence to the Dutch Guidelines for a Healthy Diet and cancer risk in the European Prospective Investigation into Cancer and Nutrition-Netherlands (EPIC-NL) cohort. Public Health Nutr 2014; 17:2546-53. [PMID: 24192305 PMCID: PMC10282203 DOI: 10.1017/s1368980013002966] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2013] [Revised: 10/02/2013] [Accepted: 10/07/2013] [Indexed: 01/24/2023]
Abstract
OBJECTIVE To examine the association between adherence to the Dutch Guidelines for a Healthy Diet created by the Dutch Health Council in 2006 and overall and smoking-related cancer incidence. DESIGN Prospective cohort study. SETTING Adherence to the guidelines, which includes one recommendation on physical activity and nine on diet, was measured using an adapted version of the Dutch Healthy Diet (DHD) index. The score ranged from 0 to 90 with a higher score indicating greater adherence to the guidelines. We estimated the hazard ratios (HR) and 95 % confidence intervals for the association between the DHD index (in tertiles and per 20-point increment) at baseline and cancer incidence at follow-up. SUBJECTS We studied 35 608 men and women aged 20-70 years recruited into the European Prospective Investigation into Cancer and Nutrition-Netherlands (EPIC-NL) study during 1993-1997. RESULTS After an average follow-up of 12·7 years, 3027 cancer cases were documented. We found no significant association between the DHD index (tertile 3 v. tertile 1) and overall (HR = 0·97; 95 % CI 0·88, 1·07) and smoking-related cancer incidence (HR = 0·89; 95 % CI 0·76, 1·06) after adjustment for relevant confounders. Excluding the components physical activity or alcohol from the score did not change the results. None of the individual components of the DHD index was significantly associated with cancer incidence. CONCLUSIONS In the present study, participants with a high adherence to the Dutch Guidelines for a Healthy Diet were not at lower risk of overall or smoking-related cancer. This does not exclude that other components not included in the DHD index may be associated with overall cancer risk.
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Affiliation(s)
- Ellen A Struijk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Anne M May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Joline WJ Beulens
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Heidi P Fransen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - G Ardine de Wit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Jolanda MA Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Jeljer Hoekstra
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - H Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Petra HM Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
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Fedirko V, Duarte-Salles T, Bamia C, Trichopoulou A, Aleksandrova K, Trichopoulos D, Trepo E, Tjønneland A, Olsen A, Overvad K, Boutron-Ruault MC, Clavel-Chapelon F, Kvaskoff M, Kühn T, Lukanova A, Boeing H, Buijsse B, Klinaki E, Tsimakidi C, Naccarati A, Tagliabue G, Panico S, Tumino R, Palli D, Bueno-de-Mesquita HB, Siersema PD, Peters PH, Lund E, Brustad M, Olsen KS, Weiderpass E, Zamora-Ros R, Sánchez MJ, Ardanaz E, Amiano P, Navarro C, Quirós JR, Werner M, Sund M, Lindkvist B, Malm J, Travis RC, Khaw KT, Stepien M, Scalbert A, Romieu I, Lagiou P, Riboli E, Jenab M. Prediagnostic circulating vitamin D levels and risk of hepatocellular carcinoma in European populations: a nested case-control study. Hepatology 2014; 60:1222-30. [PMID: 24644045 DOI: 10.1002/hep.27079] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Accepted: 02/10/2014] [Indexed: 12/12/2022]
Abstract
UNLABELLED The association between vitamin D status and hepatocellular carcinoma (HCC) has not been well investigated, despite experimental evidence supporting an important role of vitamin D in liver pathophysiology. Our objective was to investigate the association between prediagnostic circulating 25-hydroxyvitamin D [25(OH)D] serum levels and the risk of HCC in a prospective, nested case-control study among 520,000 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Each case (n = 138) diagnosed between 1992 and 2010 was matched to one control by age, sex, study center, date and time of blood collection, and fasting status. Serum baseline levels of 25(OH)D were measured by liquid chromatography/tandem mass spectrometry. Multivariable incident rate ratios (IRRs) of HCC associated with continuous (per 10 nmol/L) or categorical levels (tertiles or a priori-defined categories) of prediagnostic 25(OH)D were calculated using conditional logistic regression. Higher 25(OH)D levels were associated with a 49% reduction in the risk of HCC (highest versus lowest tertile: multivariable IRR = 0.51, 95% confidence interval [CI], 0.26 to 0.99; Ptrend = 0.04; per 10 nmol/L increase: IRR = 0.80, 95% CI, 0.68-0.94). The finding did not vary substantially by time from enrolment to diagnosis, and did not change after adjustment for biomarkers of preexisting liver damage, nor chronic infection with hepatitis B or C viruses. The findings were not modified by body size or smoking status. CONCLUSION In this prospective study on western European populations, serum levels of 25(OH)D were inversely associated with the risk of HCC. Given the rising incidence of this cancer in low-risk developed countries and the strong public health interest surrounding the potentially cancer-protective roles of vitamin D, additional studies in different populations are required.
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Affiliation(s)
- Veronika Fedirko
- Department of Epidemiology, Rollins School of Public Health, Winship Cancer Institute, Emory University, Atlanta GA, USA
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Frost L, Benjamin EJ, Fenger-Grøn M, Pedersen A, Tjønneland A, Overvad K. Body fat, body fat distribution, lean body mass and atrial fibrillation and flutter. A Danish cohort study. Obesity (Silver Spring) 2014; 22:1546-52. [PMID: 24436019 PMCID: PMC4169701 DOI: 10.1002/oby.20706] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Accepted: 01/14/2014] [Indexed: 12/12/2022]
Abstract
OBJECTIVE It is recognized that higher height and weight are associated with higher risk of atrial fibrillation or flutter (AF) but it is unclear whether risk of AF is related to body fat, body fat location, or lean body mass. METHODS This article reports the Danish population-based prospective cohort Diet, Cancer and Health study conducted among 55,273 men and women 50-64 years of age at recruitment. The associations between bioelectrical impedance derived measures of body composition and combinations of anthropometric measures of body fat distribution and risk of an incident record of AF in the Danish Registry of Patients were investigated. RESULTS During follow-up (median 13.5 years) AF developed in 1,669 men and 912 women. Higher body fat at any measured location was associated with higher risk of AF. The adjusted hazard ratio (HR) per 1 sex-specific standard deviation (SD) increment in body fat mass was 1.29 (95% confidence interval [CI], 1.24-1.33). Higher lean body mass was also associated with a higher risk of AF. The adjusted HR for 1 sex-specific SD increment was 1.40 (95% CI, 1.35-1.45). CONCLUSION Higher body fat and higher lean body mass were both associated with higher risk of AF.
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Affiliation(s)
- Lars Frost
- Department of Medicine, Silkeborg Hospital & Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Emelia J. Benjamin
- Department of Medicine, School of Medicine and Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
| | | | - Asger Pedersen
- Hammel Neurorehabilitation and Research Centre, Hammel, Denmark
| | - Anne Tjønneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark, and Department of Cardiology, Center for Cardiovascular Research, Aalborg Hospital, Aalborg University Hospital, Aalborg, Denmark
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Adherence to predefined dietary patterns and incident type 2 diabetes in European populations: EPIC-InterAct Study. Diabetologia 2014; 57:321-33. [PMID: 24196190 PMCID: PMC3890037 DOI: 10.1007/s00125-013-3092-9] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2013] [Accepted: 09/23/2013] [Indexed: 02/07/2023]
Abstract
AIMS/HYPOTHESIS Few studies have investigated the relationship between predefined dietary patterns and type 2 diabetes incidence; little is known about the generalisability of these associations. We aimed to assess the association between predefined dietary patterns and type 2 diabetes risk in European populations. METHODS From among a case-cohort of 12,403 incident diabetes cases and 16,154 subcohort members nested within the prospective European Prospective Investigation into Cancer and Nutrition study, we used data on 9,682 cases and 12,595 subcohort participants from seven countries. Habitual dietary intake was assessed at baseline with country-specific dietary questionnaires. Two diet-quality scores (alternative Healthy Eating Index [aHEI], Dietary Approaches to Stop Hypertension [DASH] score) and three reduced rank regression (RRR)-derived dietary-pattern scores were constructed. Country-specific HRs were calculated and combined using a random-effects meta-analysis. RESULTS After multivariable adjustment, including body size, the aHEI and DASH scores were not significantly associated with diabetes, although for the aHEI there was a tendency towards an inverse association in countries with higher mean age. We observed inverse associations of the three RRR-derived dietary-pattern scores with diabetes: HRs (95% CIs) for a 1-SD difference were 0.91 (0.86, 0.96), 0.92 (0.84, 1.01) and 0.87 (0.82, 0.92). Random-effects meta-analyses revealed heterogeneity between countries that was explainable by differences in the age of participants or the distribution of dietary intake. CONCLUSIONS/INTERPRETATION Adherence to specific RRR-derived dietary patterns, commonly characterised by high intake of fruits or vegetables and low intake of processed meat, sugar-sweetened beverages and refined grains, may lower type 2 diabetes risk.
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Affiliation(s)
- The InterAct Consortium
- c/o J. Kröger, Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
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