Body mass index and mortality: a meta-analysis based on person-level data from twenty-six observational studies.
Pubmed ID: 15652713
Journal: Annals of epidemiology
Publication Date: 02/01/2005
Affiliation: Department of Statistics, Florida State University, Tallahassee, FL 32306-4330, USA. email@example.com
MeSH Terms: Humans, Male, Female, Cardiovascular Diseases, Body Mass Index, Proportional Hazards Models, Obesity, Databases, Factual, Body Weight, Coronary Artery Disease, Neoplasms, Risk
Authors: McGee DL
Cite As: McGee DL, Diverse Populations Collaboration. Body mass index and mortality: a meta-analysis based on person-level data from twenty-six observational studies. Ann Epidemiol 2005 Feb;15(2):87-97.
- Atherosclerosis Risk in Communities Study (ARIC)
- Cardiovascular Health Study (CHS)
- Coronary Artery Risk Development in Young Adults (CARDIA)
- Framingham Heart Study (FHS) Offspring (OS) and OMNI 1 Cohorts
- Framingham Heart Study-Cohort (FHS-Cohort)
- Hypertension Detection and Follow-Up Program (HDFP)
- Lipid Research Clinics (LRC) Prevalence Study (PS)
- Multiple Risk Factor Intervention Trial for the Prevention of Coronary Heart Disease (MRFIT)
- Puerto Rico Heart Health Program (PRHHP)
PURPOSE: For this report, we examined the relationships between the conditions of being overweight and obese and mortality from all causes, heart disease, cardiovascular disease, and cancer. METHODS: We defined the categories of body weight according to level of body mass index, BMI=wt(kg)/ht(m)2, using classifications suggested by the National Institutes of Health and the World Health Organization. These classifications are as follows: "normal weight" is defined as BMI > or = 18.5, but less than 25; "overweight" equals BMI > or = 25, but less than 30; and "obese" individuals have BMIs > or = 30. Our investigation is based on person-level data from 26 observational studies that include both genders, several racial and ethnic groups, and samples from the US and other countries. The database consists of 74 analytic cohorts, arranged according to natural strata including gender, race, and area of residence. It includes 388,622 individuals, with 60,374 deaths during follow-up. We use proportional hazards models to examine the relationships between the BMI categories and mortality, controlling for age and smoking status. We use random-effects models to assess summary relative risks associated with the overweight and obesity conditions across cohorts. RESULTS: The relative risks among the heaviest individuals for overall death, death caused by coronary heart disease (CHD), and death caused by cardiovascular disease (CVD) are 1.22, 1.57, and 1.48, respectively, when compared with the those within the lowest BMI category. The summary relative risk among the heaviest participants for death from cancer is 1.07. CONCLUSIONS: We document once again, excess mortality associated with obesity. Our results do, however, question whether the current classification of individuals as "overweight" is optimal in the sense, since there is little evidence of increased risk of mortality in this group.