Evidence map›Paper›PMID 37448328›Full record

ArticleJournal of global health2023

Fertility intentions to have a second or third child among the childbearing-age population in Central China under China's three-child policy: A cross-sectional study.

Qian Chen, Aihua Wang, Xinli Song, Xiaoying Liu, Yiping Liu, Jianhui Wei, Jing Shu, Mengting Sun, Taowei Zhong, Manjun Luo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
21.6field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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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

14 authors at 4 institutions in 1 country.

Qian Chen *Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Aihua Wang *Department of Information Management, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China.
Xinli SongDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Xiaoying LiuDepartment of Changsha Medical University Public Health Institute, Changsha, Hunan, China.
Yiping LiuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Jianhui WeiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Jing ShuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Mengting SunDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Taowei ZhongDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Manjun LuoDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Tingting WangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Senmao ZhangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Donghua XieDepartment of Information Management, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China.
Jiabi QinDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Central South University · CNHunan Provincial Maternal and Child Health Hospital · CNChangsha Medical University · CNHunan Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: On May 31, 2021, the Chinese authorities announced that couples can have up to three children, aiming to stimulate a rise in fertility levels. However, there is limited research on second and third birth intentions of the childbearing-age population under China's three-child policy, and the existing results are inconsistent. Methods: A cross-sectional survey was performed in Central China from June to August 2022. A total of 13 479 respondents aged 20-49 were enrolled in the study through a multi-stage sampling method. Data on the intentions to have a second or third child were collected using anonymized questionnaires. Descriptive statistics were performed to assess fertility intentions. Multivariate logistic regression analyses were used to assess the associations between fertility intentions and the related factors. Results: Among families with a single child, 29.7% (1444 / 4859) of the respondents intended to have a second child, while among two-child families, 10.6% (750 / 7056) respondents intended to have a third child. Overall, participants indicated that the ideal number of children was 1.85 ± 0.52. The age-specific fertility intentions of the one-child families were always higher than those of two-child families; however, based on couples' age groups, the number of ideal children reported by two-child families was always higher than that of one-child families. Fertility intentions were influenced by the respondents' gender, age, residence, marital status, educational level, average working time, childcare support, marital satisfaction, accessibility of educational resources, health condition of both spouses, loan situation, size of living house and the gender of the first child or second child. Conclusions: The general prevalence of the second and third birth intention of the childbearing-age population in Central China is not high. To increase the birth rate, it is necessary to create a favourable fertility context and offer supportive measures.

Indexed as

FertilityIntentionChinaCross-Sectional StudiesHumansPublic Policy

Identifiers

PMID37448328
PMCPMC10345887
OpenAlexW4384277251

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.