Evidence map›Paper›PMID 38287284›Full record

ArticleBMC pregnancy and childbirth2024

Impact of closed-off management due to COVID-19 rebound on maternal depression during pregnancy.

Wanqing Xiao, Yuting Yang, Huiyun Xiao, Peiyuan Huang, Dongmei Wei, Yingfang Wu, Jia Yu, Jian-Rong He, Xiu Qiu

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Wanqing Xiao *Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Rd., Tianhe District, Guangzhou, 510623, Guangdong, China.
Yuting Yang *Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Rd., Tianhe District, Guangzhou, 510623, Guangdong, China.
Huiyun Xiao *Department of Women's Health, Guangdong Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Peiyuan HuangDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Rd., Tianhe District, Guangzhou, 510623, Guangdong, China.
Dongmei WeiDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Rd., Tianhe District, Guangzhou, 510623, Guangdong, China.
Yingfang WuDepartment of Women's Health, Guangdong Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Jia YuDepartment of Women's Health, Guangdong Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Jian-Rong HeDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Rd., Tianhe District, Guangzhou, 510623, Guangdong, China. jianrong.he@bigcs.org.
Xiu QiuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Rd., Tianhe District, Guangzhou, 510623, Guangdong, China. xiu.qiu@bigcs.org.
Guangzhou Women and Children Medical Center · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess the impacts of closed-off measures with different strictness levels (lockdown, partial lockdown and non-lockdown) and geographic proximity to patients with coronavirus disease 2019 (COVID-19) on prenatal depression during an epidemic rebound of COVID-19.

methodsThis was a cross-sectional web-based survey including 880 pregnant women. Depressive symptoms were measured by Self-Rating Depression Scale (SDS) and geographic proximity was calculated using Geographic Information Systems. Linear and logistic regression were used to assess the associations of closed-off measures and geographic proximity with SDS scores and depressive symptoms. Restricted cubic splines were used to model non-linear associations between geographic proximity and depression symptoms.

resultsCompared with those living in non-lockdown areas, women in lockdown areas had higher SDS scores (adjusted β: 3.51, 95% CI: 1.80, 5.21) and greater risk of depressive symptoms (adjusted OR: 4.00, 95% CI: 2.18, 7.35), but evidence for partial lockdown was not obvious. A progressive increase in the risk of depressive symptoms was found with decreasing distance to COVID-19 patients when geographic proximity was <8 kilometers. Compared to those in the 5

conclusionsPregnant women under strict closed-off management during COVID-19 epidemic have high risk of depression. A specific range around the residences of reported COVID-19 patients should be underlined as potential clustering of high prenatal depression levels. Our findings highlight the importance of enhancing mental health management during the COVID-19 epidemic for pregnant women.

Indexed as

COVID-19RecurrenceAnxietyCommunicable Disease ControlCross-Sectional StudiesDepressionFemaleHumansPregnancyPregnant PeopleSARS-CoV-2Closed-off measuresCOVID-19DepressionLockdownPregnant women

Identifiers

PMID38287284
PMCPMC10823603
OpenAlexW4391304177

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.