Previous research (cf. Gove) has suggested that the higher rates of mental illness among females may be due to the greater stress associated with the marital role for women in our society. Using data (N = 3674) gathered as part of a major epidemiologic study in the southeastern United States, the authors examine the relationships between Health Opinion Survey scores (a widely used psychiatric assessment instrument), marital status, marital history, length of marital status, and several sociodemographic variables. As anticipated, higher scores for females across race and in most marital statuses were found. But when data were analyzed via multiple regression which controlled for sociodemographic and marital status factors, it was found that low socioeconomic status (SES) was the strongest predictor of high scores. Being female was also significant. The only significant marital status variable in the equation was being separated. Persons who had been married more than once also had significantly elevated scores. Marital status, length of present status, and history of previous marital statuses were not powerful predictors of mental health problems: most of the explained variance was subsumed by sociodemographic variables. The authors conclude that the disproportionately high rates of mental illness among females cannot be accounted for by marital status and its incumbent stresses and suggest that other explanations need to be explored. The relationship between sex roles, marital status, and mental illness has received recently an increasing amount of attention in the social science and psychiatric literature (Brodsky: Clancy and Gove; Cooperstock; Gittleman-Klein and Klein: Gove; Gove and Tudor; Overall; Pokorny and Overall; Redick; Rosen et al.)1 Findings from these and other studies indicate that females in our society have higher rates of mental illness than males and/or that they more often seek treatment for problems related to psychiatric distress. The reasons for these differential rates have not been definitively established although a number of hypotheses have been offered. For example, Phillips and Segal have argued that the higher rates for females are due to methodological factors associated with response biases, e. g., naysaying and social desirability, a position refuted by Clancy and Gove. Gurin et al. have suggested the higher rates for females result from their finding marriage less satisfying than males. Others have contended that role strain, particularly as engendered by the changing status of females in industrial societies, produces ambiguous *This research was made possible by MH Grant No. 24740-01.
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