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Changkeun Han, School of Social Work, Washington University in St. Louis, One Brooking Drive Campus Box 1196, St. Louis, MO 63130, 314-775-4753, ckhan@wustl.edu
There is substantial evidence that life satisfaction and socioeconomic inequality have significant effects on health status (For life satisfaction, see Riley, 1968; Palmore & Luikart, 1972 and for socioeconomic status see Alwin & Wray, 2005; Krieger, Williams, & Moss, 1997; Ram, 2005). However, there is no study examining how time-varying life satisfaction and socioeconomic status are related to changing health status. This study investigates how changes of life satisfaction and socioeconomic status are related to health status change using longitudinal growth curve modeling (LGCM).
Sample (N=840) of this study is low income households. This primary data were collected at Tulsa, Oklahoma. Health and life satisfaction are self-rated measures. Income and net worth are key variables to measure socioeconomic status. LISREL 8.52 was used to analyze the LGCM.
Controlling for age, gender, race and education, life-satisfaction has stronger relationships with health status than socioeconomic status (X2 = 136.14 df=44 p<.001; RMSEA= 0.044). Respectively, the level and the slope of life satisfaction are positively related to the level and the slope of health status. Contrarily, the levels and the slopes of socioeconomic status measured by income and wealth have weak effects on health status.
Consistent with the previous research and theory, this study found that the more satisfied tend to be healthier. Health practitioners should pay more attention to how to increase life satisfaction. However, it should be noted that homogeneous sample and measurement level of the key variables may cause the weak effects of socioeconomic status on the health.
Learning Objectives:
Keywords: Health, Low-Income
Presenting author's disclosure statement:
Not Answered
The 134th Annual Meeting & Exposition (November 4-8, 2006) of APHA