Abstract
Background Previous studies, which examined the association between employment status and postpartum depression, were limited by binary or ternary employment status measures (employed/unemployed or full-time/part-time/unemployed). This study examined the association between detailed employment status during pregnancy and risk of depressive symptomatology 1 month after childbirth, and the effect modification by one's perceived level of social support and household equivalent income. Methods Our study examined 76 822 participants in the Japan Environment and Children's Study. The exposure included maternal employment status during pregnancy (regular workers, dispatched workers, part-time workers, self-employed workers, non-employed and others), and the outcome was depressive symptomatology 1 month after childbirth: Edinburgh Postnatal Depression Scale (EPDS scores ≥9 and ≥13). Adjusted ORs and 95% CIs of depressive symptomatology associated with employment status were calculated by multivariable logistic regression. Subgroup analyses by perceived level of social support and household equivalent income were conducted. Results Compared with regular workers, the risk of depressive symptomatology (EPDS score ≥9) was higher for non-employed and others, and that (EPDS score ≥13) was so for part-time workers. There was no significant interaction by perceived level of social support and household equivalent income in the associations. However, part-time workers and non-employed had excess risk of depressive symptomatology among women with lower perceived level of social support, but not among those with the higher one. Conclusion Compared with regular workers, part-time workers and non-employed had an increased risk of depressive symptomatology, which was confined to women with lower perceived level of social support.
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Aochi, Y., Honjo, K., Kimura, T., Ikehara, S., & Iso, H. (2021). Association between maternal employment status during pregnancy and risk of depressive symptomatology 1 month after childbirth: The Japan Environment and Children’s Study. Journal of Epidemiology and Community Health, 75(6), 531–539. https://doi.org/10.1136/jech-2020-213943
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