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Objectives This study examines the relationship between alcohol consumption and incident stroke among older adults and tests whether alcohol consumption contributes to observed race and sex differences in stroke. Method Data are from a U.S. national cohort of black and white adults aged 45 and older, the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Current and past drinking levels were reported at baseline (2003-2007). Participants who had never had a stroke were followed for adjudicated stroke events through September 2015 (n = 27,265). We calculated Cox proportional hazard models for stroke, adjusting for demographic, socioeconomic, behavioral, and health characteristics. Results Participants, mean age 64.7 years, consumed on average 2.2 drinks/week and experienced 1,140 first-time stroke events over median 9.1 years follow-up. Nondrinkers had a 12% higher risk of stroke than current drinkers; the risk of stroke among nondrinkers largely reflected high risks among past drinkers; these differences were explained by socioeconomic characteristics. Among current drinkers, light drinkers had significantly lower stroke risks than moderate drinkers after accounting for demographic, socioeconomic, behavioral, and health characteristics. Implications of alcohol did not differ between blacks and whites but did differ by sex: Especially among women, nondrinkers, and specifically past drinkers, had higher risks; these differences were largely explained by health characteristics and behaviors. Alcohol did not explain race and sex differences in stroke incidence. Discussion Among older adults, those who used to, but no longer, drink had higher risks of stroke, especially among women; current light drinkers had the lowest risk of stroke.

Objectives To test whether older adults from high and low educational groups are differentially vulnerable to the impact of smoking and physical inactivity on the progression of mobility impairment during old age. Methods A nationally representative sample of older Swedish adults (n = 1,311), aged 57-76 years at baseline (1991), were followed for up to 23 years (2014). Multilevel regression was used to estimate individual trajectories of mobility impairment over the study period and to test for differences in the progression of mobility impairment on the basis of smoking status, physical activity status, and level of education. Results Compared to nonsmokers, heavy smokers had higher levels and steeper increases in mobility impairment with advancing age. However, there were only small and statistically nonsignificant differences in the impact of heavy smoking on mobility impairment in high versus low education groups. A similar pattern of results was found for physical inactivity. Discussion Differential vulnerability to unhealthy behaviors may vary across populations, age, time-periods, and health outcomes. In this study of older adults in Sweden, low and high education groups did not differ significantly in their associations between heavy smoking or physical inactivity, and the progression of mobility impairment.