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Background
Self-reported time-use in relation to health-related quality of life (HRQoL) has been widely studied, yet less is known about the directionality of the association and how it compares across genders when controlling for sociodemographic confounders.
Methods
This study focused on the working population of the most recent waves (2013–2018) of the Core-Study of the German Socio-Economic Panel (N = 30,518, 46.70% female, M = 39.24 years). It examined the relationship between three time-use categories (contracted, committed, & leisure time) and HRQoL (self-rated health & life satisfaction) in men and women via multigroup fixed effects cross-lagged panel models. The models controlled for sociodemographic background (age, household income, number of children living in household, employment status, education, & marital status), which was associated with time-use and psychosocial health in previous research.
Results
Contracted time showed consistent positive relationships with HRQoL across genders while associations with the other types of time use differed significantly between men and women and across indicators of HRQoL.
Conclusions
The way we spend our time directly predicts our health perceptions, but in the same vein our health also predicts how we can spend our time. Contracted time in particular was associated with positive HRQoL, across genders, and beyond sociodemographic predictors, highlighting the important role of employment in health, for men and women alike. The impact of commitments beyond contracted time-use—like household chores and childcare—however, continues to affect mainly women, which ultimately reflects in poorer health outcomes.
To a large extent health-related quality of life (HRQoL) is a product of life-course experiences. Therefore, we examined employment, marital, and reproductive life-course typologies as predictors of HRQoL in women and men. To determine life course clusters, sequence and cluster analysis were performed on the annual (waves 1990–2019) employment, marital, and children in household states of the German Socio-Economic Panel data (N = 8,998; age = 53.57, 52.52% female); separately for men and women. Using hierarchical linear regression analyses, and Tukey HSD post-hoc tests, associations between clusters and change in life satisfaction, subjective mental, and physical health were examined. Five life-course clusters were identified in the female and six in the male sample. Life courses differed greatly across gender regarding employment aspects (e.g., men generally work full-time vs. women underwent frequent transitions). The family aspects appeared similar – e.g., ‘starting a family’ or ‘marital separation’ clusters – but still differed in the particulars. Life course typologies were related to distinct patterns of HRQoL. For instance, both for men and women the ‘separated’ clusters, as well as the male ‘entering non-employment’ cluster were associated with a steeper decline in HRQoL. However, change in subjective mental health showed few associations. Distinct types of life courses and differential associations with sociodemographic background and HRQoL emerged for women and men. The analyses reveal a burden on individuals who experienced marital separation, and non-employment and thus present important target groups for health prevention, e.g., for physical health problems.