Multivitamin use and mortality
The proposed study will investigate the hypotheses that daily MV use is associated with lower risk of 1) total mortality and 2) cause-specific mortality by leveraging existing data from three, large, geographically diverse, U.S. cohorts (i.e., the NIH-AARP Diet and Health Study cohort; the Agricultural Health Study (AHS) cohort; and the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial cohort) with repeat assessments of MV use and extensive follow-up for mortality outcomes. With a combined sample size exceeding 670,000 adults and 107,000 deaths, the study will be substantially larger than most previous studies and will therefore be well-powered to test associations among population subgroups including those who are adherent or non-adherent to healthy lifestyle recommendations. Furthermore, the proposed study addresses key limitations of prior studies. First, each of the three cohorts included in the analysis obtained detailed baseline information on demographics and lifestyle factors that may confound the association between MV use and mortality. We can incorporate this data into multivariable models to obtain adjusted relative risk estimates, and because of the very large sample size, we can also stratify by important potential confounders and effect modifiers (e.g., smoking status) to thoroughly investigate the impact of these factors on risk estimates. Second, each of these cohorts obtained multiple assessments of current MV use as well as lifetime history of MV use for a large subset of participants. This longitudinal data will allow us to evaluate the impact of changes in MV use and other lifestyle factors on mortality. In addition, each of these cohorts has extended follow-up time (i.e., >15 years), which will allow us to assess potential reverse causality by comparing the association between MV use and mortality during different periods of follow-up.
Aim 1A: Prospectively evaluate the association of daily MV use, as compared to non-use, with total mortality and cause-specific mortality from the 10 leading causes of death in the United States in three large, geographically diverse cohorts.
Aim 1B: Investigate the impact of: 1) changes in MV use over time on risk of mortality using follow-up assessments, and 2) confounding by healthy lifestyle using detailed information on smoking, dietary intake, physical activity and obesity and leveraging the very large sample size to perform stratified analyses with sufficient statistical power to detect modest associations.
Caitlin O'Connell, Brown School, Washington University in St. Louis
Neal D. Freedman, Metabolic Epidemiology Branch, DCEG, NCI, NIH
Rashmi Sinha, Metabolic Epidemiology Branch, DCEG, NCI, NIH