Evidence map›Paper›PMID 27399752›Full record

ArticleInternational journal of environmental research and public health2016

Patterns and Associated Factors of Caesarean Delivery Intention among Expectant Mothers in China: Implications from the Implementation of China's New National Two-Child Policy.

Lianlian Wang, Xianglong Xu, Philip Baker, Chao Tong, Lei Zhang, Hongbo Qi, Yong Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  8. Observational
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  16. Observational
  17. Article
  18. Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China.International journal of environmental research and public health · 2017
    Article
  19. Sleep Duration and Quality in Pregnant Women: A Cross-Sectional Survey in China.International journal of environmental research and public health · 2017
    Article
  20. Psychometric properties of the Chinese version of the Reproductive Concerns After Cancer Scale (RCAC) for young female cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017
    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

7 authors at 4 institutions in 3 countries.

Lianlian WangThe Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China. llian_w@163.com.
Xianglong XuSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China. xianglong1989@126.com.
Philip BakerCanada-China-New Zealand Joint Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing 400016, China. philip.baker@leicester.ac.uk.
Chao TongThe Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China. chaotongcqmu@163.com.
Lei ZhangResearch Center for Public Health, School of Medicine, Tsinghua University, Beijing 100062, China. lzhang20@mail.tsinghua.edu.cn.
Hongbo QiThe Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China. qihongbo@sina.com.
Yong ZhaoSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China. zhaoyong@cqmu.edu.cn.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Public Health Medical Center · CNMelbourne Sexual Health Centre · AUUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study explores the basic demographic characteristics of expectant mothers in the context of their intentions regarding mode of delivery, in particular, the preference for caesarean delivery, and analyzes the social and psychological factors that influence delivery preference.

methodA cross-sectional survey of pregnant women was conducted during June to August in 2015. This study adopted a stratified sampling method, and 16 representative hospitals in five provinces of China were included.

results1755 and 590 of expectant mothers in their first and second pregnancies, respectively, were enrolled in this study. 354 (15.10%) intended to deliver by caesarean section and 585 (24.95%) participants were uncertain prior to delivery. 156 (8.89%) of expectant mothers in their first pregnancy and 198 (33.56%) expectant mothers in their second pregnancy intended to deliver by caesarean section. Ordinal logistic regression analysis found that nationality, parity, trimester of pregnancy, and advanced maternal age were factors associated with intention to deliver by caesarean (ordered logistic regression/three-level caesarean delivery intention criterion; odds ratios p < 0.05).

conclusions8.89% of first pregnancy expectant mothers and 33.56% of second pregnancy expectant mothers intended to deliver by caesarean section. Any intervention program to reduce the rate of Caesarean delivery should focus on the Han population, older pregnant women, and expectant mothers in their second pregnancy, at an early gestation.

Indexed as

IntentionAdultCesarean SectionChinaCross-Sectional StudiesFemaleHospitalsHumansLogistic ModelsMaternal AgeMothersOdds RatioParityPregnancyPublic Policycaesarean delivery intentionChinaexpectant motherstwo-child policy

Identifiers

PMID27399752
PMCPMC4962227
OpenAlexW2470594079

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.