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1.
Front Sociol ; 7: 763088, 2022.
Article in English | MEDLINE | ID: mdl-35463190

ABSTRACT

The COVID-19 pandemic led to significant changes in workplace practices as social distancing requirements meant that people were asked to work from home where possible to avoid unnecessary contact. Concerns have been raised about the effects of the pandemic on mental health and, in particular, the effects of social distancing on employed women's mental health. In this study, we explore the experiences of working women during the initial stages of the COVID-19 pandemic and explore the factors that may be associated with women experiencing the symptoms of depression. Findings from a cross-sectional survey of European working women (across five countries: France, Italy, Poland, Sweden, and the UK) conducted between March and July 2020 are reported. The data are analyzed using linear regression and mediation analysis. For women, working from home was associated with higher prevalence of the symptoms of depression compared to traveling to a workplace. The study also considers the mechanisms that may explain a relationship between working from home and depressive symptoms. Maintaining contact with people face-to-face and participating in exercise were both significant protective factors against experiencing symptoms of depression during a period of social distancing.

2.
Sociol Health Illn ; 44(3): 641-662, 2022 03.
Article in English | MEDLINE | ID: mdl-35218011

ABSTRACT

Health literature shows that unemployment has a gendered effect on health. However, whether men or women are more affected and why remains unclear. We assume that unemployment harms women less than men because of two mechanisms: social roles theories and health selection. First, the availability and centrality in individuals' lives of roles other than employment may reduce the detrimental effect of unemployment for women. Second, the gendered impact of unemployment on health results from the different ways selection mechanisms operate across genders. Moreover, these two mechanisms may operate differently in different contexts - for example, across different gender regimes. We investigate this by pursuing a three-step comparative approach. The analysis relies on EU-SILC data covering Italy and Sweden for 2004 to 2015 and SOEP data for Germany (1995-2017) and applies correlated dynamic random-effects probit models. While we find weak support for the role of health selection in shaping the relations between unemployment, health, and gender, our empirical results are in line with the hypothesis of a larger gendered effect in older (vs younger) cohorts, western (vs eastern) Germany and Italy (vs. Sweden). Future empirical research needs to directly address the role of gender regimes in moderating such complex relationships.


Subject(s)
Gender Role , Unemployment , Aged , Employment , Female , Health Status , Humans , Male , Socioeconomic Factors
3.
Health Place ; 52: 55-61, 2018 07.
Article in English | MEDLINE | ID: mdl-29777978

ABSTRACT

Unemployment has numerous negative consequences for health, but the family and the welfare state can mitigate these consequences. How the family supports its members and whether and to what extent this interacts with the broader context is still an open question. Our evidence show that job loss is causally linked to significant declines in health for men, but not for women. Yet, the increased risk of poor health is lower for coupled men, especially if the partner is employed. This suggests that both emotional and economic support play a role. Moreover, the family's mitigating role widely varies across different welfare regimes in Europe and it is particularly strong in Southern and Eastern regimes, characterized by "rudimentary" welfare systems and a more traditional family model.


Subject(s)
Health Status , Self Concept , Social Support , Spouses/psychology , Unemployment/psychology , Adult , Europe , Family/psychology , Female , Humans , Interpersonal Relations , Life Change Events , Longitudinal Studies , Male , Middle Aged , Sex Distribution , Social Welfare , Socioeconomic Factors
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