Evidence map›Paper›PMID 39633309›Full record

ArticleBMC public health2024

The mediating effect of family support in the relationship between socio-economic status and postpartum depressive symptoms.

Yuyin Xiao, Yujie Cui, Feifei Li, Wu Zeng, Scott Rozelle, Chenshu Shi, Jianing Xu, Jiaqi Shi, Guohong Li, Fan Jiang

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yuyin Xiao *School of Public Health, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Yujie Cui *China Hospital Development Institute, Shanghai JiaoTong University, Shanghai, China.
Feifei Li *China Hospital Development Institute, Shanghai JiaoTong University, Shanghai, China.
Wu ZengDepartment of Global Health, School of Health, Georgetown University, Washington, DC, USA.
Scott RozelleStanford Center On China's Economy and Institutions, Stanford University, Stanford, CA, USA.
Chenshu ShiInstitute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, China.
Jianing XuSchool of Public Health, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Jiaqi ShiSchool of Public Health, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Guohong LiSchool of Public Health, Shanghai JiaoTong University School of Medicine, Shanghai, China. guohongli@sjtu.edu.cn.
Fan JiangDepartment of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Pediatric Translational Medicine Institution, Shanghai Jiao Tong University, Shanghai, China. fanjiang@shsmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to explore the mediation effect of family support on the relationship between SES and postpartum depressive symptoms.

methodsA total of 1887 mothers of newborn babies under 6 months of age in selected community health service centers in Shanghai were included in the analysis. A multi-stage probability sampling method was applied to select the sample. We generated a composite index for measuring each sample household's SES using a categorical principal component analysis approach. The mothers' perceived family support scale was used to reflect family functioning status. Regression models were used to verify the research hypotheses and assess the impact of intermediating variables.

results8.90% of participants had postpartum depressive status. The data showed that there was variability in the SES index, ranging from -4.18 to 0.81 (with lower SES being a low index value). According to the findings, the SES index was negative associated with depressive symptoms, the lower the SES level of the household, the higher the probability of the mother being at risk for depressive symptoms. (β = -0. 115, P < 0.001). When examining the analysis that adds family support as a mediator between SES and depressive symptoms, the coefficient of the mediator (family support) was significant (meaning the higher the family support, the lower the risk of depressive symptoms (β = -0.447, P < 0.001) and the coefficient relating the SES index to depressive symptoms became non-significant (β = -0.023, P = 0.280).

conclusionThe association between SES and depressive symptoms among postpartum women is strongly mediated by family support. The finding suggests that the focus of interventions to prevent or mediate postpartum depression should consider developing strategies to strengthen family support.

Indexed as

Depression, PostpartumSocial SupportAdultChinaFamily SupportFemaleHumansMediation AnalysisMothersSocial ClassYoung AdultFamily supportPostpartum depressive symptomsSocioeconomic status

Identifiers

PMID39633309
PMCPMC11616391

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.