Multidimensional influencing factors of postpartum depression based on the perspective of the entire reproductive cycle: evidence from western province of China

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Abstract

Objective: China has a serious burden of Postpartum depression (PPD). In order to improve the current situation of high burden of PPD, this study explores the factors affecting PPD from the multidimensional perspectives with physiology, family support and social support covering the full-time chain of pre-pregnancy–pregnancy–postpartum. Methods: A follow-up survey was conducted in the Qujing First People’s Hospital of Yunnan Province from 2020 to 2022, and a total of 4838 pregnant women who underwent antenatal checkups in the hospital were enrolled as study subjects. Mothers were assessed for PPD using the Edinburgh Postnatal Depression Scale (EPDS), and logistic regression was used to analyse the level of mothers’ postnatal depression and identify vulnerability characteristics. Results: The prevalence of mothers’ PPD was 46.05%, with a higher prevalence among those who had poor pre-pregnancy health, had sleep problems during pregnancy, and only had a single female fetus. In the family support dimension, only family care (OR = 0.52, 95% CI 0.42–0.64) and only other people care(OR = 0.78, 95% CI 0.64–0.96) were the protective factors of PPD. The experience risk of PPD was higher among mothers who did not work or use internet. Conclusion: The PPD level in Yunnan Province was significantly higher than the global and Chinese average levels. Factors affecting mothers’ PPD exist in all time stages throughout pregnancy, and the influence of family support and social support on PPD shouldn’t be ignored. There is an urgent need to extend the time chain of PPD, move its prevention and treatment forward and broaden the dimensions of its intervention.

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Zhang, Y., Liu, X., Liu, M., Li, M., Chen, P., Yan, G., … You, D. (2024). Multidimensional influencing factors of postpartum depression based on the perspective of the entire reproductive cycle: evidence from western province of China. Social Psychiatry and Psychiatric Epidemiology. https://doi.org/10.1007/s00127-024-02686-2

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