Evidence map›Paper›PMID 33601697›Full record

ArticleJournal of affective disorders2021

The prevalence and risk factors of depression in prenatal and postnatal women in China with the outbreak of Corona Virus Disease 2019.

Chuanxiao Li, Lijuan Huo, Ruoxi Wang, Ling Qi, Wenjia Wang, Xin Zhou, Yongjie Zhou, Xiangyang Zhang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of affective disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 pooled it
4.5field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 5 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

8 authors at 6 institutions in 1 country.

Chuanxiao LiCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Shenzhen Kangning Hospital, Shenzhen, Guangdong, China.
Lijuan HuoDepartment of Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Ruoxi WangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ling QiSchool of Health Science and Nursing, Wuhan Polytechnic University, Wuhan, 430023, China.
Wenjia WangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
Xin ZhouResearch Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China.
Yongjie ZhouDepartment of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China. Electronic address: qingzhu1108@126.com.
Xiangyang ZhangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China. Electronic address: zhangxy@psych.ac.cn.
Institute of Psychology, Chinese Academy of Sciences · CNShenzhen KangNing Hospital · CNChina University of Geosciences · CNFirst Affiliated Hospital of Guangzhou Medical University · CNHuazhong University of Science and Technology · CNWuhan Polytechnic University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of depression increase with the outbreaks of epidemic disease. The prevalence of depression during the outbreak of Corona Virus Disease 2019 (COVID-19) in prenatal and postnatal women was examined in China.

methods2201 prenatal and postnatal women in mainland China were recruited in this cross-sectional study from February 28

resultsThe prevalence rate of depression was 35.4%. The risk factors for depression included drinking (p = 0.04; adjusted OR = 2.81, 95%CI: 1.26~6.24), nausea and vomiting during pregnancy (p < 0.001; adjusted OR = 3.54, 95%CI: 1.10~11.44), pregnancy's influence on mobility (p = 0.02; adjusted OR = 1.42, 95%CI: 1.11~1.83), anxiety (p < 0.001; adjusted OR = 1.66, 95%CI: 1.57~1.75), insomnia (p < 0.001; adjusted OR = 1.17, 95%CI: 1.14~1.21) and daily attention to fetal movement (p < 0.001; adjusted OR = 0.41, 95%CI: 0.31~0.56). LIMITATIONS: This study used a cross-sectional design, and cannot compare changes in the incidence of depression before and after the COVID-19 outbreak.

conclusionsDuring the COVID-19 outbreak, the prevalence rate of depression among Chinese prenatal and postnatal women was 35.4%. Moreover, anxiety, insomnia, drinking, nausea and vomiting during pregnancy, as well as the impaired movement and less daily monitoring of fetal movement were risk factors for depression.

Indexed as

COVID-19DepressionAnxietyChinaCross-Sectional StudiesDisease OutbreaksFemaleHumansMental HealthPregnancyPrevalenceRisk FactorsSARS-CoV-2Surveys and QuestionnairesAnxietyCorona Virus Disease 2019DepressionInsomniaMaternal health

Identifiers

PMID33601697
PMCPMC7800140
OpenAlexW3119543134

What OpenQuestion holds

Textmetadata
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.