Evidence map›Paper›PMID 38789557›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

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

Yiyun Zhang, Xinwei Liu, Mengmei Liu, Min Li, Ping Chen, Guanghong Yan, Qingyan Ma, Ye Li, Dingyun You

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yiyun ZhangSchool of Ethnology and Sociology, Yunnan University, Kunming, 650091, Yunnan, China.
Xinwei LiuResearch Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Mengmei LiuSchool of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China.
Min LiSchool of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China.
Ping ChenSchool of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China.
Guanghong YanSchool of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China.
Qingyan MaSchool of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China.
Ye LiSchool of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China. liye8459@163.com.
Dingyun YouYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China. youdingyun@qq.com.

Funding

Key Science Fundation of Yunnan Basic Research 202101AS070040National Natural Science Foundation of China 81960592National Natural Science Foundation of China 82073569Outstanding Youth Science Fundation of Yunnan Basic Research Project 202001AW070021Reserve Talent Project for Young and Middle-aged Acadamic and Technical Leaders 2012005AC160023
6 · The paper itself

Abstract

objectiveChina 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.

methodsA 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Depression, PostpartumMothersSocial SupportAdultChinaFemaleFollow-Up StudiesHumansPregnancyPrevalencePsychiatric Status Rating ScalesRisk FactorsSurveys and QuestionnairesYoung AdultFamily supportPostpartum depressionRisk factorsSocial support

Identifiers

PMID38789557
PMCPMC11522041

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.