Evidence map›Paper›PMID 35246096›Full record

ArticleBMC public health2022

Association of China's two-child policy with changes in number of births and birth defects rate, 2008-2017.

Hanyi Chen, Ting Wei, Haiyin Wang, Yi Zhou, Hua Chen, Lianghong Sun, Shaotan Xiao, Wuren Ma, Huijuan Zhao, Guanghua Chen and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.6field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 26 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

15 authors at 4 institutions in 2 countries.

Hanyi Chen *Science Research and Information Management Department, Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Ting Wei *Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Haiyin Wang *Health Technology Assessment Research Department, Shanghai Health Development Research Centre, Shanghai, 201199, China.
Yi ZhouScience Research and Information Management Department, Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Hua ChenScience Research and Information Management Department, Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Lianghong SunScience Research and Information Management Department, Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Shaotan XiaoFudan University Pudong Institute of Preventive Medicine, Shanghai, China.
Wuren MaKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China.
Huijuan ZhaoKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China.
Guanghua ChenKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China.
Xinlei LiangKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China.
Donglan ZhangDivision of Health Services Research, New York University Long Island School of Medicine, Mineola, USA.
Weiwei ZhengKey Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China. weiweizheng@fudan.edu.cn.
Yixin ZhouFudan University Pudong Institute of Preventive Medicine, Shanghai, China. 18930733119@163.com.
Zhangsheng YuDepartment of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China. yuzhangsheng@sjtu.edu.cn.
Fudan University · CNShanghai Jiao Tong University · CNNew York University · USShanghai Municipal Center For Disease Control Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn October 2015, China's one-child policy was universally replaced by a so-called two-child policy. This study investigated the association between the enactment of the new policy and changes in the number of births, and health-related birth outcomes.

methodsWe used difference-in-difference model to analyse the birth record data in Pudong New Area, Shanghai.The design is descriptive before-and-after comparative study.

resultsThe data covered three policy periods: the one-child policy period (January 2008 to November 2014); the partial two-child policy period (December 2014 to June 2016); the universal two-child policy period (July 2016 to December 2017). There was an estimate of 7656 additional births during the 18 months of the implementation of the universal two-child policy. The trend of monthly percentage of births to mothers aged ≥35 increased by 0.24 percentage points (95% confidence interval 0.19 to 0.28, p < 0.001) during the same period. Being a baby boy, preterm birth, low birth weight, parents with lower educational attainment, and assisted delivery were associated with a higher risk of birth defects.

conclusionsThe universal two-child policy was associated with an increase in the number of births and maternal age. Preterm birth, low birth weight, and assisted delivery were associated with a higher risk of birth defects, which suggested that these infants needed additional attention in the future.

Indexed as

Family Planning PolicyPremature BirthBirth RateChinaFemaleHumansInfantInfant, NewbornMalePolicyPregnancyBirth defectsBirth outcomesDifference-in-difference modelNumber of birthsTwo-child policy

Identifiers

PMID35246096
PMCPMC8895506
OpenAlexW4214823696

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.