OBJECTIVES: The present study examines sociodemographic, health status, health behavioral, and health-related self-perception correlates of physical inactivity in a large, multiethnic urban population. METHODS: A random-digit-dialed telephone survey of a representative sample of 8353 Los Angeles County adults aged >/= 18 years was conducted between September 17, 1999 and December 31, 2000. Data were analyzed to assess the prevalence and identify independent correlates of physical inactivity, defined as <10 minutes of continuous physical activity weekly ("sedentary"). RESULTS: Overall, the prevalence of sedentary adults was 41%. Lower educational attainment, female gender, advancing age, non-U.S. birthplace, poorer self-perceived health status, self-perceived depression, smoking, leisure-time television watching/computer use, and receiving a diabetes diagnosis were significantly related to sedentariness in both bivariate and multivariate analyses. CONCLUSIONS: Mental and physical health status were prominent correlates of sedentariness. Lower socioeconomic class was also associated with sedentary behavior. Further research is needed to understand the relationship between self-perceived overweight and sedentary behavior.
OBJECTIVES: The present study examines sociodemographic, health status, health behavioral, and health-related self-perception correlates of physical inactivity in a large, multiethnic urban population. METHODS: A random-digit-dialed telephone survey of a representative sample of 8353 Los Angeles County adults aged >/= 18 years was conducted between September 17, 1999 and December 31, 2000. Data were analyzed to assess the prevalence and identify independent correlates of physical inactivity, defined as <10 minutes of continuous physical activity weekly ("sedentary"). RESULTS: Overall, the prevalence of sedentary adults was 41%. Lower educational attainment, female gender, advancing age, non-U.S. birthplace, poorer self-perceived health status, self-perceived depression, smoking, leisure-time television watching/computer use, and receiving a diabetes diagnosis were significantly related to sedentariness in both bivariate and multivariate analyses. CONCLUSIONS: Mental and physical health status were prominent correlates of sedentariness. Lower socioeconomic class was also associated with sedentary behavior. Further research is needed to understand the relationship between self-perceived overweight and sedentary behavior.
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