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Ann Epidemiol. 2015 Mar;25(3):201-7. doi: 10.1016/j.annepidem.2014.11.010. Epub 2014 Nov 13.

Estimating population attributable fractions to quantify the health burden of obesity.

Author information

1
Centers for Disease Control and Prevention, National Center for Health Statistics, Hyattsville, MD. Electronic address: kmf2@cdc.gov.
2
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.

Abstract

PURPOSE:

Obesity is a highly prevalent condition in the United States and elsewhere and is associated with increased mortality and morbidity. Here, we discuss some issues involved in quantifying the health burden of obesity using population attributable fraction (PAF) estimates and provide examples.

METHODS:

We searched PubMed for articles reporting attributable fraction estimates for obesity. We reviewed eligible articles to identify methodological concerns and tabulated illustrative examples of PAF estimates for obesity relative to cancer, diabetes, cardiovascular disease, and all-cause mortality.

RESULTS:

There is considerable variability among studies regarding the methods used for PAF calculation and the selection of appropriate counterfactuals. The reported estimates ranged from 5% to 15% for all-cause mortality, -0.2% to 8% for all-cancer incidence, 7% to 44% for cardiovascular disease incidence, and 3% to 83% for diabetes incidence.

CONCLUSIONS:

To evaluate a given estimate, it is important to consider whether the exposure and outcome were defined similarly for the PAF and for the relative risks, whether the relative risks were suitable for the population at hand, and whether PAF was calculated using correct methods. Strong causal assumptions are not necessarily warranted. In general, PAFs for obesity may be best considered as indicators of association.

KEYWORDS:

Body mass index; Body weight; Epidemiologic methods; Obesity; Risk

PMID:
25511307
PMCID:
PMC4383168
DOI:
10.1016/j.annepidem.2014.11.010
[Indexed for MEDLINE]
Free PMC Article

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