Gender and race differences in the predictors of daily health practices among older adults.
Preventive health behaviors are crucial for older adults' well-being. This study examined the factors that influence the practice of positive daily health behaviors over time in a sample of older adults (N = 1266) and investigated whether explanatory factors differ by health behavior, gender or race. Physical activity, weight maintenance, smoking, alcohol consumption and sleep patterns were examined as dependent variables. Independent variables included demographic characteristics, baseline health behavior, health status variables, psychological factors and social network characteristics. Results indicate that age and health status are important predictors of preventive health behaviors. However, the factors that predict preventive health behaviors vary by behavior, gender and race. The independent variables included in this study were most successful in explaining cigarette smoking and weight maintenance, and least successful in explaining amount of sleep. In addition, results suggest that social network variables are particularly influential for women's health behaviors, while health status is more influential among men. Greater education predicts better health behaviors among whites, while formal social integration seems particularly important for the health behaviors of older black women. These results indicate that examining older adults' health behaviors by race and gender leads to a fuller understanding of these behaviors.
Gallant
M P
MP
Department of Health Policy, Management and Behavior, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, NY 12144-3456, USA.
Dorn
G P
GP
D000368:Aged; D005006:Ethnicity / Q000523:psychology; D005260:Female; D015438:Health Behavior / Q000208:ethnology*; D007722:Health Knowledge, Attitudes, Practice; D006293:Health Promotion / Q000706:statistics & numerical data*; D006304:Health Status; D006801:Humans; D008019:Life Style; D016014:Linear Models; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D012647:Self-Assessment; D012737:Sex Factors; D012944:Social Support; D014481:United States / Q000453:epidemiology