Multiple social roles in early adulthood and later mental health in different labour market contexts
Bibliographic record
Abstract
Work and family roles entail divergent responsibilities, which can be a source of conflict especially in young adulthood - the so-called "rush-hour" of life. Combining these multiple social roles can result in an accumulation of stress but also be a valuable resource for mental health. The aim of this study is to investigate combined employment, parenthood and partnership trajectories of men and women during early adulthood, and to analyse the relationship of these multiple roles with depressive symptoms at older age. We used harmonised data from the Survey of Health, Ageing and Retirement in Europe (SHARE) and the English Longitudinal Study of Ageing (ELSA) with retrospective information on employment, partnerships and parenthood histories between age 25 and 40 for 18,816 men and 24,686 women (n = 43,502). We applied sequence analysis and clustering to group trajectories into four clusters for women and three clusters for men. We then used multilevel models to analyse the links between combined employment and family roles and later mental health in different historical labour market contexts (indicated by female employment rates). Women and men who did not combine work and family roles between age 25 and 40 report higher levels of depression than those who combined work and family. Results differ by gender and labour market context, with stronger differences between women in countries with higher female employment rates. Overall, combining multiple roles in early adulthood is associated with decreased rather than increased risk for depressive symptoms in older Europeans.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".