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Body-mass index and cause-specific mortality in 900 000 adults:collaborative analyses of 57 prospective studies
[ ] 02.05.2009, 23:50

Summary

Background—The main associations of body-mass index (BMI) with overall and cause-specific

mortality can best be assessed by long-term prospective follow-up of large numbers of people. The

Prospective Studies Collaboration aimed to investigate these associations by sharing data from many

studies.

Methods—Collaborative analyses were undertaken of baseline BMI versus mortality in 57

prospective studies with 894 576 participants, mostly in western Europe and North America (61%

[n=541 452] male, mean recruitment age 46 [SD 11] years, median recruitment year 1979 [IQR

1975–85], mean BMI 25 [SD 4] kg/m2). The analyses were adjusted for age, sex, smoking status,

and study. To limit reverse causality, the first 5 years of follow-up were excluded, leaving 66 552

deaths of known cause during a mean of 8 (SD 6) further years of follow-up (mean age at death 67

[SD 10] years): 30 416 vascular; 2070 diabetic, renal or hepatic; 22 592 neoplastic; 3770 respiratory;

7704 other.

Findings—In both sexes, mortality was lowest at about 22·5–25 kg/m2. Above this range, positive

associations were recorded for several specific causes and inverse associations for none, the absolute

excess risks for higher BMI and smoking were roughly additive, and each 5 kg/m2 higher BMI was

on average associated with about 30% higher overall mortality (hazard ratio per 5 kg/m2 [HR] 1·29

[95% CI 1·27–1·32]): 40% for vascular mortality (HR 1·41 [1·37–1·45]); 60–120% for diabetic, renal,

and hepatic mortality (HRs 2·16 [1·89–2·46], 1·59 [1·27–1·99], and 1·82 [1·59–2·09], respectively);

10% for neoplastic mortality (HR 1·10 [1·06–1·15]); and 20% for respiratory and for all other

mortality (HRs 1·20 [1·07–1·34] and 1·20 [1·16–1·25], respectively). Below the range 22·5–25 kg/

m2, BMI was associated inversely with overall mortality, mainly because of strong inverse

associations with respiratory disease and lung cancer. These inverse associations were much stronger

for smokers than for non-smokers, despite cigarette consumption per smoker varying little with BMI.

Interpretation—Although other anthropometric measures (eg, waist circumference, waist-to-hip

ratio) could well add extra information to BMI, and BMI to them, BMI is in itself a strong predictor

of overall mortality both above and below the apparent optimum of about 22·5–25 kg/m2. The

progressive excess mortality above this range is due mainly to vascular disease and is probably largely

causal. At 30–35 kg/m2, median survival is reduced by 2–4 years; at 40–45 kg/m2, it is reduced by

8–10 years (which is comparable with the effects of smoking). The definite excess mortality below

22·5 kg/m2 is due mainly to smoking-related diseases, and is not fully explained.

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