Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 440300
Title Influence of calendar period on the association between BMI and coronary heart disease: a meta-analysis of 31 cohorts : Review
Author(s) Hollander, E.L. de; Bogers, R.P.; Boshuizen, H.C.; Rosengren, A.; Shipley, M.J.; Knekt, P.; Ducimetiere, P.; Menotti, A.; Groot, C.P.G.M. de; Bemelmans, W.J.E.
Source Obesity 21 (2013)5. - ISSN 1930-7381 - p. 865 - 880.
Department(s) Global Nutrition
Mathematical and Statistical Methods - Biometris
Nutrition and Disease
Human Nutrition & Health
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) body-mass index - all-cause mortality - cardiovascular risk-factors - monica project populations - life-style factors - follow-up - physical-activity - blood-pressure - western-australia - abdominal obesity
Abstract Objective: The association between obesity and coronary heart disease (CHD) may have changed over time, for example due to improved pharmacological treatment of CHD risk factors. This meta-analysis of 31 prospective cohort studies explores the influence of calendar period on CHD risk associated with body mass index (BMI). Design and Methods: The relative risks (RRs) of CHD for a five-BMI-unit increment and BMI categories were pooled by means of random effects models. Meta-regression analysis was used to examine the influence of calendar period (>1985 v =1985) in univariate and multivariate analyses (including mean population age as a covariate). Results: The age, sex, and smoking adjusted RR (95% confidence intervals) of CHD for a five-BMI-unit increment was 1.28(1.22:1.34). For underweight, overweight and obesity, the RRs (compared to normal weight) were 1.11(0.91:1.36), 1.31(1.22:1.41), and 1.78(1.55:2.04), respectively. The univariate analysis indicated 31% (95%CI: -56:0) lower RR of CHD associated with a five-BMI-unit increment and a 51% (95%CI: -78: -14)) lower RR associated with obesity in studies starting after 1985 (n = 15 and 10, respectively) compared to studies starting in or before 1985 (n = 16 and 10). However, in the multivariate analysis, only mean population age was independently associated with the RRs for a five-BMI-unit increment and obesity (-29(95%CI: -55: -5)) and -31(95%CI: -66:3), respectively) per 10-year increment in mean age). Conclusion: This study provides no consistent evidence for a difference in the association between BMI and CHD by calendar period. The mean population age seems to be the most important factor that modifies the association between the risk of CHD and BMI, in which the RR decreases with increasing age.
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