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Socioeconomic Status and Health: The Role of Sleep

From George Washington University, Washington, DC (P.J.M.); the University of California, San Francisco, California (N.E.A.); and the University of Michigan, Ann Arbor, Michigan (D.R.W., J.S.J.).

View larger version (14K): [in a new window]   Fig. 1. Path models (N = 960) predicting psychological distress from (a) education and income, and (b) education, income, and sleep quality (controlling for age, gender, ethnicity, prior health status, and sleep quantity). Models show standardized regression coefficients. **p < .01, ***p < .001.

View larger version (14K): [in a new window]   Fig. 2. Path models (N = 960) predicting physical health from (a) education and income, and (b) education, income, and sleep quality (controlling for age, gender, ethnicity, prior health status, sleep quantity, and psychological distress). Models show standardized regression coefficients. **p < .01, ***p < .001.