The association between role overload and women's mental health.
OBJECTIVE
To determine the importance of role overload (the extent to which a person feels overwhelmed by her total responsibilities) relative to other known social determinants of women's mental health.


METHODS
A Canadian national, random sample, cross-sectional telephone survey in 2003 assessed the association among role overload, types and quality of roles (parent, employee, spouse), sociodemographics, and mental health (using the SF-12) using linear regression. Analysis included 716 women aged 25-54 who indicated that their youngest child living in the household was aged < or =17 years.


RESULTS
Perceptions of greater role overload were associated with poorer mental health (p < 0.0001). Women working <35 hours per week (p = 0.04) or 35-40 hours per week (p 5 0.002) reported better mental health than nonemployed women, as did women with the highest annual household income ($70,000+)(p = 0.001). Also associated with better mental health were higher marital status quality scores for both married and single women (p < 0.001), higher job quality scores among employed women (p = 0.02), greater homemaking quality scores among unemployed women (p = 0.03), and women reporting high parental quality (p = 0.04)


CONCLUSIONS
Role overload showed a stronger relationship to mental health than other sociodemographic variables, including income. Our findings indicate the importance of measuring women's experience of their multiple roles rather than focusing on single roles. More research is warranted on the totality of women's experiences of their many social role obligations.
Glynn
Keva
K
Women's College Research Institute, Toronto, Ontario, Canada.
Maclean
Heather
H
Forte
Tonia
T
Cohen
Marsha
M
D000328:Adult; D000704:Analysis of Variance; D002170:Canada / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D005783:Gender Identity; D006796:Household Work; D006801:Humans; D016014:Linear Models; D008603:Mental Health / Q000706:statistics & numerical data*; D008875:Middle Aged; D012959:Socioeconomic Factors; D013315:Stress, Psychological / Q000453:epidemiology*; D016387:Women's Health; D014931:Women, Working / Q000523:psychology*