NutriBib

BMI and all cause mortality: Systematic Review and Non-Linear Dose-Response Meta-Analysis of 230 Cohort Studies with 3.74 Million Deaths Among 30.3 Million Participants

BMJ. 2016 May 4; 353:i2156. doi: 10.1136/bmj.i2156.
Aune, D., Sen, A., Prasad, M., Norat, T., Janszky, I., Tonstad, S., Romundstad, P., & Vatten, L. J.

Abstract

Objective: To conduct a systematic review and meta-analysis of cohort studies of body mass index (BMI) and the risk of all cause mortality, and to clarify the shape and the nadir of the dose-response curve, and the influence on the results of confounding from smoking, weight loss associated with disease, and preclinical disease.

Data sources: PubMed and Embase databases searched up to 23 September 2015.

Study selection: Cohort studies that reported adjusted risk estimates for at least three categories of BMI in relation to all cause mortality.

Data synthesis: Summary relative risks were calculated with random effects models. Non-linear associations were explored with fractional polynomial models.

Results: 230 cohort studies (207 publications) were included. The analysis of never smokers included 53 cohort studies (44 risk estimates) with >738 144 deaths and >9 976 077 participants. The analysis of all participants included 228 cohort studies (198 risk estimates) with >3 744 722 deaths among 30 233 329 participants. The summary relative risk for a 5 unit increment in BMI was 1.18 (95% confidence interval 1.15 to 1.21; I(2)=95%, n=44) among never smokers, 1.21 (1.18 to 1.25; I(2)=93%, n=25) among healthy never smokers, 1.27 (1.21 to 1.33; I(2)=89%, n=11) among healthy never smokers with exclusion of early follow-up, and 1.05 (1.04 to 1.07; I(2)=97%, n=198) among all participants. There was a J shaped dose-response relation in never smokers (Pnon-linearity <0.001), and the lowest risk was observed at BMI 23-24 in never smokers, 22-23 in healthy never smokers, and 20-22 in studies of never smokers with ≥20 years' follow-up. In contrast there was a U shaped association between BMI and mortality in analyses with a greater potential for bias including all participants, current, former, or ever smokers, and in studies with a short duration of follow-up (<5 years or <10 years), or with moderate study quality scores.

Conclusion: Overweight and obesity is associated with increased risk of all cause mortality and the nadir of the curve was observed at BMI 23-24 among never smokers, 22-23 among healthy never smokers, and 20-22 with longer durations of follow-up. The increased risk of mortality observed in underweight people could at least partly be caused by residual confounding from prediagnostic disease. Lack of exclusion of ever smokers, people with prevalent and preclinical disease, and early follow-up could bias the results towards a more U shaped association.

Information NutriBib

Reference work for leading, current and selected literature in the field of clinical nutrition

Publications on clinical nutrition have grown steadily in recent years and the scientific evidence has been improved by numerous observational as well as intervention studies. Various umbrella organisations, such as the Swiss Society for Clinical Nutrition (GESKES), the German Society for Nutritional Medicine (DGEM) or the European Society for Clinical Nutrition and Metabolism (ESPEN) publish guidelines on nutrition in various clinical situations at regular intervals. Thus, a large amount of literature is available for evidence-based nutritional medicine.


The NutriBib aims to filter out authoritative publications in the various fields of nutritional medicine and thus to provide an overview of the abundance of literature. A large number of experienced nutrition experts contributed to the selection of relevant sources and allow a broadly based selection. Nevertheless, the literature selection cannot be considered exhaustive. Specific literature can be found by entering search words (using the magnifying glass at the top right) or by searching the table of contents.


Is important literature still missing? We would be very pleased to hear from you:

clinicalnutrition.sci@gmail.com

List of abbreviations

DGEM German Society for Nutritional Medicine (German Deutsche Gesellschaft für Ernährungsmedizin)
GESKES  Swiss Society for Clinical Nutrition (German Gesellschaft für klinische Ernährung der Schweiz) 
ESPEN European Society of Clinicl Nutrition and Metabolism