Evidence map›Paper›PMID 34551755›Full record

ArticleBMC pregnancy and childbirth2021

The prevalence and predictors of fear of childbirth among pregnant Chinese women: a hierarchical regression analysis.

Jingui Huang, Jing Huang, Yan Li, Bizhen Liao

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.4field-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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Jingui HuangPresent Address: Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyilu Street, Yuzhong District, Chongqing, 400016, China.
Jing HuangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yan LiPresent Address: Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyilu Street, Yuzhong District, Chongqing, 400016, China.
Bizhen LiaoPresent Address: Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyilu Street, Yuzhong District, Chongqing, 400016, China. 2453862566@qq.com.
First Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFear of childbirth (FOC) occurs before, during and after pregnancy and is harmful to both the pregnant woman and the fetus. Identifying the prevalence and predictors of FOC can help us generate strategies for alleviating women's FOC.

methodsA cross-sectional study was conducted among a convenience sample of 646 pregnant women receiving antenatal care at a subordinate hospital of a university in China. Data were collected using a basic information form, the Childbirth Attitude Questionnaire, the Childbirth Self-Efficacy Inventory, and the 10-item Connor-Davidson Resilience Scale. The minimum and maximum total scores of the Childbirth Attitude Questionnaire are 16 and 64, respectively, with higher scores reflecting a greater degree of FOC. We conducted hierarchical regression analysis to explore the predictors of FOC and used a structural equation model to further examine the direct and indirect associations between FOC, resilience and childbirth self-efficacy.

resultsThe total prevalence of FOC was 67.1%. The percentages of women with mild (score of 28-39), moderate (40-51), and severe FOC (52-64) were 45.4, 19.5, and 2.2%, respectively. The average score on the Childbirth Attitude Questionnaire was 32.49, indicating mild FOC. The final regression analysis revealed six variables predicting FOC that explained 64.5% of the variance in FOC: age, gestational age, parity, spousal support, resilience, and childbirth self-efficacy. Furthermore, childbirth self-efficacy mediated the relationship between resilience and FOC, and the mediation effect rate was 53.5%.

conclusionsA high prevalence of FOC among pregnant Chinese women was found in this study. Age, gestational age, parity, spousal support, resilience, and childbirth self-efficacy were predictors of FOC. It is suggested that healthcare professionals should pay close attention to FOC and implement targeted interventions in accordance with these predictors, especially resilience and childbirth self-efficacy.

Indexed as

AdolescentAdultAffective SymptomsChinaCross-Sectional StudiesFearFemaleHumansParturitionPregnancyPregnant PeoplePrevalenceRegression AnalysisResilience, PsychologicalRisk FactorsSelf EfficacyChildbirth self-efficacyFear of childbirthPredictorsPrevalenceResilience

Identifiers

PMID34551755
PMCPMC8456556
OpenAlexW3200908954

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.