Evidence map›Paper›PMID 33771230›Full record

ArticleGlobal health research and policy2021

The impact of lockdown policy on depressive symptoms among pregnant women in China: mediating effects of internet use and family support.

Yongjie Zhou, Ruoxi Wang, Lei Liu, Ting Ding, Lijuan Huo, Ling Qi, Jie Xiong, Jie Yan, Lingyun Zeng, Jiezhi Yang and 2 more

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Article in Global health research and policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

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10citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Yongjie ZhouShenzhen Kanning Hospital, Shenzhen, 518020, China.
Ruoxi WangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. ruoxiwang@hust.edu.cn.ORCID 0000-0002-9695-0582
Lei LiuQingdao Mental Health Center, Qingdao University, Qingdao, 266034, China.
Ting DingQingdao Mental Health Center, Qingdao University, Qingdao, 266034, China.
Lijuan HuoDepartment of Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, 510000, China.
Ling QiSchool of Health Science and Nursing, Wuhan Polytechnic University, Wuhan, 430023, China.
Jie XiongESSCA School of Management, 1 Rue Joseph Lakanal - BP 40348, 49003 Cedex 01, Angers, France.
Jie YanGrenoble Ecole de Management, 12 Rue Pierre Semard, 38000, Grenoble, France.
Lingyun ZengShenzhen Kanning Hospital, Shenzhen, 518020, China.
Jiezhi YangShenzhen Health Development Research Center, Shenzhen, 518028, China.
Suyi SongSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Gaolanxin DaiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.

Funding

Research Project of Hubei Provincial Department of Education B2019061Sanming Project of Medicine in Shenzhen SZSM202011014Shenzhen Fund for Guangdong Provincial High level Clinical Key Specialties SZGSP013
6 · The paper itself

Abstract

backgroundAlthough more and more attention has been paid to the psychological consequences of the lockdown policy amongst pregnant women, the underlying mechanism linking the lockdown policy to maternal depression has not been studied in the context of China. This study aimed to explore the association between the lockdown policy and maternal depressive symptoms, and whether such association was mediated by internet use and/or family support.

methodsThis cross-sectional study used multi-stage sampling techniques in central and western China. Data were collected from 1266 pregnant women using a structtured questionnaire that measured internet use, family support, and depressive symptoms. The Patient Health Questionnaire-9 (PHQ-9) was used to measure depressive symptoms. Internet use was measured by length of usage and varierity of purpose for internet use. Family support was measureed by spousal support and parental support. The structural equation modelling was employed to conduct mediation analysis to test the specificity of the hypothetical paths.

resultsOverall, 527 respondents (41.63%) presented depressive symptoms. The lockdown policy was negatively associated with depressive symptoms in pregnant women (β = - 0.925, 95% CI = -1.510, - 0.360). The impact of the lockdown policy on depressive symptoms was partially mediated by internet use (β = 1.589, 95% CI = 0.730, 2.807) and family support (β = - 0.162, 95% CI = - 0.341, - 0.017), accounting for 42.67% of the total effect.

conclusionsThe lockdown policy was generally associated with fewer depressive symptoms in pregnant women. The lockdown policy increased maternal depressive symptoms through increased internet use, but decreased maternal depressive symptoms through enhanced family support. The findings suggest that the psychological consequence of the lockdown policy may vary across different populations, and warrant the need to take into consideration the features of subgroups.

Indexed as

Psychosocial Support SystemsChinaCross-Sectional StudiesDepressionFamilyFemaleHealth PolicyHumansInternet UsePregnant PeoplePrevalenceQuarantineCOVID-19Family supportInternet useLockdownMaternal depressive symptomsPregnant women

Identifiers

PMID33771230
PMCPMC7994177

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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.