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1.
Arch Public Health ; 82(1): 12, 2024 Jan 25.
Article in English | MEDLINE | ID: mdl-38273389

ABSTRACT

BACKGROUND: Men are more likely to have unmet need for mental healthcare than women. However, an under-investigated aspect of the gender difference is the role of mental health literacy. This study investigated how combinations of gender and mental health literacy were related to two indicators of unmet need: not perceiving a need for mental healthcare despite poor mental health, and refraining from seeking mental healthcare. METHODS: This cross-sectional study was based on a questionnaire sent to a general population sample, aged 16-84 years, in Stockholm County, Sweden, in 2019. Of the 1863 respondents (38%), 1563 were included (≥18 years). The sample was stratified into four groups, men and women with low or high mental health literacy, using the third quartile of the Mental Health Knowledge Schedule. The likelihood of not perceiving a need for mental healthcare and refraining from seeking mental healthcare, at any time in life, were investigated by calculating odds ratios with 95% confidence intervals. RESULTS: Men with low mental health literacy were most likely to not perceive a need for mental healthcare, also when adjusting for age, education, and poor mental health (OR 5.3, 95% CI 3.6-7.7), and to refrain from seeking mental healthcare, also when adjusting for age and education (OR 3.3, 95% CI 1.7-6.4), followed by men with high mental health literacy (OR 1.9, 95% CI 1.5-2.4, and OR 1.5, 95% CI 1.0-2.2) and women with low mental health literacy (OR 1.9, 95% CI 1.2-2.9, and OR 2.1, 95% CI 1.1-3.9). Women with high mental health literacy were least likely (reference group). CONCLUSION: The results show differences in the likelihood of unmet need for mental healthcare based on combinations of gender and mental health literacy level, with men having low mental health literacy being most at risk, and women with high mental health literacy being least at risk. This challenges generalisations of a gender difference in unmet need by showing heterogeneity among men and women based on mental health literacy. Men with low mental health literacy may be particularly in need of targeted interventions to reduce potential individual and societal consequences of their unmet need.

2.
Work ; 77(3): 827-838, 2024.
Article in English | MEDLINE | ID: mdl-37781846

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.


Subject(s)
Employment , Sick Leave , Male , Humans , Female , Sweden/epidemiology , Cross-Sectional Studies , Educational Status
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