Objectives. We examined gender differences in the effects of unemployment on mental health and assessed whether such effects are associated with interactions among gender, family roles, and social class. Methods. Our analysis included 3881 employed and 638 unemployed workers, aged 25 to 64 years, interviewed in the 1994 Catalonian Health Survey. Results. Unemployment had more of an effect on the mental health of men (age-adjusted odds ratio [OR] = 2.98; 95% confidence interval [CI] = 2.30, 3.87) than on that of women (age-adjusted OR = 1.51; 95% CI = 1.11, 2.06). Gender differences in effects were related to family responsibilities and social class. Conclusions. Understanding the effects of unemployment on mental health requires consideration of the interactions among gender, family responsibilities, and social class.

Gender inequalities exist in work life, but little is known about their presence in relation to factors examined in occupation health settings. The aim of this study was to identify and summarize the working and employment conditions described as determinants of gender inequalities in occupational health in studies related to occupational health published between 1999 and 2010. A systematic literature review was undertaken of studies available in MEDLINE, EMBASE, Sociological Abstracts, LILACS, EconLit and CINAHL between 1999 and 2010. Epidemiologic studies were selected by applying a set of inclusion criteria to the title, abstract, and complete text. The quality of the studies was also assessed. Selected studies were qualitatively analysed, resulting in a compilation of all differences between women and men in the prevalence of exposure to working and employment conditions and work-related health problems as outcomes. Most of the 30 studies included were conducted in Europe (n=19) and had a cross-sectional design (n=24). The most common topic analysed was related to the exposure to work-related psychosocial hazards (n=8). Employed women had more job insecurity, lower control, worse contractual working conditions and poorer self-perceived physical and mental health than men did. Conversely, employed men had a higher degree of physically demanding work, lower support, higher levels of effort-reward imbalance, higher job status, were more exposed to noise and worked longer hours than women did. This systematic review has identified a set of working and employment conditions as determinants of gender inequalities in occupational health from the occupational health literature. These results may be useful to policy makers seeking to reduce gender inequalities in occupational health, and to researchers wishing to analyse these determinants in greater depth.

Background: The objectives of this study are to identify family and job characteristics associated with long work hours, to analyse the relationship between long work hours and several health indicators, and to examine whether gender differences for both objectives exist. Methods: The sample was composed of all salaried workers aged 16–64 years (3950 men and 3153 women) interviewed in the 2006 Catalonian Health Survey. Weekly work hours were categorised as less than 30 h (part-time), 30–40 (reference category), 41–50 and 51–60 h. Multiple logistic regression models separated by sex were fitted. Results: Factors associated with long working hours differed by gender. Among men, extended work hours were related with being married or cohabiting and with being separated or divorced. In men, working 51–60 h a week was consistently associated with poor mental health status (aOR 2.06, 95% CI 1.31 to 3.24), self-reported hypertension (aOR 1.60, 95% CI 1.12 to 2.29), job dissatisfaction (aOR 2.05, 95% CI 1.49 to 2.82), smoking (aOR 1.33, 95% CI 1.03 to 1.72), shortage of sleep (aOR 1.42, 95% CI 1.09 to 1.85) and no leisure-time physical activity (aOR 2.43, 95% CI 1.64 to 3.60). Moreover, a gradient from standard working hours to 51–60 h a week was found for these six outcomes. Among women it was only related to smoking and to shortage of sleep. Conclusion: The association of overtime with different health indicators among men could be explained by their role as the family breadwinner: in situations of family financial stress men work overtime in order to increase the income and/or accept poor working conditions for fear of job loss, one of them being long working hours.

OBJECTIVES: To analyse whether there are gender inequalities in health among male and female workers who are married or cohabiting and to assess whether there are gender differences in the relation between family demands and health. Additionally, for both objectives it will be examined whether these gender patterns are similar for manual and non-manual workers. DESIGN AND SETTING: The data have been taken from the 1994 Catalonian Health Survey (CHS), a cross sectional survey based on a representative sample of the non-institutionalised population of Catalonia, a region in the north east of Spain that has about 6 million inhabitants. The dependent variables were four ill health indicators (self perceived health status, limiting longstanding illness, having at least one chronic condition and mental health) and two health related behaviours closely related to having time for oneself (no leisure time physical activity and sleeping six hours or less a day). Family demands were measured with three variables: household size, living with children under 15 years and living with adults older than 65 years. The analysis was separated for gender and social class (manual and non-manual workers) and additionally adjusted for age. Gender differences for all dependent and independent variables were first tested at the bivariate level using the χ² test for categorical variables and thet test for age. Secondly, multivariate logistic regression models were fitted. PARTICIPANTS: Persons who were employed, married or cohabiting, aged 25 to 64 years (2148 men and 1185 women). RESULTS: A female excess for all the ill health indicators was found, while there were no gender differences in the health related behaviours analysed. Family demands had a greater impact on health and health related behaviours of female manual workers. In this group household size was positively related to four dependent variables. The adjusted odds ratios (ORs) to living in family units of more than four persons versus living only with the spouse were 2.74 (95%CI=1.22, 6.17) for poor self perceived health status, 3.16 (95%CI=0.98, 10.15) for limiting long standing illness, 3.28 (95%CI=1.45, 7.44) for having at least one chronic condition, and 2.60 (95%CI=1.12, 6.00) for sleeping six hours or less a day. Among female manual workers living with children under 15 years was positively associated with no leisure time physical activity (adjusted OR=2.37; 95% CI=1.43, 3.92) and with sleeping six hours or less a day (adjusted OR=1.91; 95% CI=1.13, 3.32). Living with adults older than 65 years had an unexpected negative relation with poor self perceived health status (adjusted OR=0.33; 95%CI=0.16, 0.66), and with chronic conditions (adjusted OR=0.45; 95%CI=0.24, 0.87) in female manual workers. Among male manual workers living with children under 15 years was positively associated with longstanding limiting illness (adjusted OR=2.44; 95%CI=1.36, 4.38). CONCLUSION: When gender differences in health are analysed, both the paid and the non-paid work should be considered as well as the interaction between these two dimensions, gender and social class. In Catalonia, as probably in Spain and in other countries, private changes such as sharing domestic responsibilities, as well as active public policies for facilitating family care are needed in order to reduce gender health inequalities attributable to the unequal distribution of family demands.