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Differences in how women and men in a Swedish population-based sample think about sick leave: A cross-sectional vignette study.
- Source :
- Work; 2024, Vol. 77 Issue 3, p827-838, 12p
- Publication Year :
- 2024
-
Abstract
- BACKGROUND: Gender differences in attitudes towards depression gives reason to believe that sociocultural gender norms play a role in other areas. OBJECTIVE: The aim was to test (i) if the likelihood to think that sick leave with depression symptoms is not reasonable varies between women and men, and (ii) if the likelihood to think sick leave is not reasonable varies depending on the gender of the individual with depression symptoms. METHODS: A study population of 3147 participants responded to a web-survey with a written case briefly describing a man or woman with symptoms of depression. Respondents were asked if they thought it is reasonable that the person was sick listed for two weeks. Logistic regression was used to analyse the data. RESULTS: After controlling for age, education, self-rated health, and respondent's own experience of sickness absence the adjusted OR was 1.45 (95% CI 1.25–1.67) for men being less likely to think sick-leave was reasonable. Gender difference decreased when adjusting for negative attitudes towards depression (adjusted OR 1.24, 95% CI 1.06–1.44). No difference was found between how women and men thought about sick leave in relation to the gender of the case described in the vignette. CONCLUSION: Men were more likely to think that sick leave was not reasonable with decreased OR after adjustment for negative attitudes towards depression. Gender norms might be part of the explanation for differences but are challenging to test. This study contributes to a bourgeoning research field on gendered attitudes and sick leave, in terms of theoretical reasoning and methodological choice. [ABSTRACT FROM AUTHOR]
- Subjects :
- EMPLOYEE psychology
SICK leave
CROSS-sectional method
SELF-evaluation
SCALE analysis (Psychology)
ATTITUDES toward illness
QUALITATIVE research
T-test (Statistics)
DATA analysis
SEX distribution
MULTIPLE regression analysis
DESCRIPTIVE statistics
SOCIAL norms
CHI-squared test
SURVEYS
ODDS ratio
STATISTICS
CASE studies
COMPARATIVE studies
CONFIDENCE intervals
DATA analysis software
MENTAL depression
EMPLOYMENT
EMPLOYEE attitudes
SOCIAL stigma
PSYCHOSOCIAL factors
Subjects
Details
- Language :
- English
- ISSN :
- 10519815
- Volume :
- 77
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Work
- Publication Type :
- Academic Journal
- Accession number :
- 175959740
- Full Text :
- https://doi.org/10.3233/WOR-230119