Influence of analytic methods, data sources, and repeated measurements on the population attributable fraction of lifestyle risk factors.

ABSTRACT: Population attributable risk (PAR%) reflects the preventable fraction of disease. However, PAR% estimates of cancer have shown large variation across populations, methods, data sources, and timing of measurements. Three statistical methods to estimate PAR% were identified from a systematic literature review: the Levin's formula, the comparative incidence rate method, and the comparative risk assessment method. We compared the variations in PAR% of postmenopausal breast cancer in the Nurses' Health Study to evaluate the influence by method choice, source of prevalence data, use of single vs repeated exposure measurements, and potential joint effects of obesity, alcohol, physical activity, fruit and vegetable intake. Across models of the three methods, the estimated PAR% using repeated measu

SUBMITTER: Wu Y 

PROVIDER: S-EPMC10275810 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature