Does job promotion affect men’s and women’s health differently? Dynamic panel models with fixed effects

Nyberg, Anna; Peristera, Paraskevi; Westerlund, Hugo; Johansson, Gunn; Hanson, Linda L. Magnusson

doi:10.1093/ije/dyw310

Cited by 13 publications

(16 citation statements)

References 34 publications

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“…On the one hand, the large majority of the existing evidence is from single-country cross-sectional analyses that did not find any interactive association between gender and SES with health at older ages (Damian et al , 1999; Knurowski et al , 2004; Sulander et al , 2009; Connolly, O’Reilly, and Rosato, 2010). The same results were found in studies based on national longitudinal studies from England (Melzer et al , 2000; McMunn, Nazroo, and Breeze, 2008), Spain (Orfila et al , 2006), and Sweden (Parker et al , 2013). On the other hand, the association between SES and health was found to be stronger in older men than in older women in one study from Spain (Regidor et al , 1999).…”

Section: Gender Inequalities In Health: Possible Underlying Mechanismssupporting

confidence: 82%

Gender and Socioeconomic Inequalities in Health at Older Ages Across Different European Welfare Clusters: Evidence from SHARE Data, 2004–2015

Uccheddu

Gauthier

Steverink

et al. 2019

European Sociological Review

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This study takes a comparative approach to assess whether the association between socioeconomic status (SES) and health in later life differs by gender in a sample of individuals aged 50 and above living in nine European countries (Austria, Belgium, Denmark, France, Germany, Italy, Spain, Sweden, and Switzerland). We apply linear hybrid (between-within) regression models using panel data (50,459 observations from 13,955 respondents) from five waves of the Survey of Health, Ageing and Retirement in Europe (SHARE) between the years 2004–2015. SES measures included education, income, and wealth. A 40- item Frailty Index (FI) of accumulated deficits, an important indicator of health in older populations, was used as dependent variable. Considering between-effects estimates, our results show that the positive impact of education and wealth on health is stronger for women living in countries where the welfare arrangements are less decommodifying and defamilializing. No such interaction is found for income and for fixed-effects estimates. This study could advance the understanding of gender inequalities in health. Also, such findings can guide future policies devoted at reducing gender and socioeconomic inequalities in health in later life.

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Section: Gender Inequalities In Health: Possible Underlying Mechanismssupporting

confidence: 82%

Gender and Socioeconomic Inequalities in Health at Older Ages Across Different European Welfare Clusters: Evidence from SHARE Data, 2004–2015

Uccheddu

Gauthier

Steverink

et al. 2019

European Sociological Review

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“… 18 Job promotion also appeared to increase depressive symptoms and a decrease self-rated general health, at least in a short-term perspective. 19 …”

Section: What Has Been Found? Key Findings and Publicationsmentioning

confidence: 99%

Cohort Profile: The Swedish Longitudinal Occupational Survey of Health (SLOSH)

Hanson

Leineweber

Persson

et al. 2018

International Journal of Epidemiology

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“…Some studies have shown that working women have more stress-related disorders than housewives. 19 , 20 Therefore, we believe that our participants might have been less exposed to stres, affecting their QoL results.…”

Section: Discussionmentioning

confidence: 98%

Quality of life in patients with melasma in Turkish women

Uyanıkoğlu

Aksoy

2017

Dermatol Reports

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The aim of this study was to determine the impact of melasma on quality of life (QoL) using the dermatology life quality index (DLQI) questionnaire in a group of outpatients. This study is questionnairebased. A total of 101 Turkish women suffering from melasma, who themselves were able to understand and complete the Turkish version of the DLQI questionnaire, were enrolled. This questionnaire included 10 questions; each of each was scored on a scale of 0-3, with a maximum score of 30. The data were analyzed after the results had been collated and the higher the DLQI score, the poorer the QoL. The participants’ mean age was 29.53±6.87 years, and mean DLQI score was 6.02±4.94. When we divided the participants into two subgroups according to age, the DLQI scores for younger and older individuals were 7.44±4.99 and 4.33±4.36, respectively (P=0.001). When the melasma area and severity index (MASI) score was used, participants with mild and moderate disease had mean DLQI scores of 5.80±4.72 and 7.11±5.90, respectively. No patient had severe disease. Melasma might affect the participants’ QoL, especially that of the younger individuals, in our study population.

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Does job promotion affect men’s and women’s health differently? Dynamic panel models with fixed effects

Abstract: The present study indicates that a job promotion could lead to decreased SRH and increased symptoms of depression in a 2-4-year perspective. Associations appear to differ for women and men.

Cited by 13 publications

References 34 publications

Gender and Socioeconomic Inequalities in Health at Older Ages Across Different European Welfare Clusters: Evidence from SHARE Data, 2004–2015

Gender and Socioeconomic Inequalities in Health at Older Ages Across Different European Welfare Clusters: Evidence from SHARE Data, 2004–2015

Cohort Profile: The Swedish Longitudinal Occupational Survey of Health (SLOSH)

Quality of life in patients with melasma in Turkish women

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