Evidence map›Paper›PMID 33922140›Full record

ArticleInternational journal of environmental research and public health2021

Repeat Induced Abortion among Chinese Women Seeking Abortion: Two Cross Sectional Studies.

Longmei Tang, Shangchun Wu, Dianwu Liu, Marleen Temmerman, Wei-Hong Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

5 authors.

Longmei TangSchool of Public Health, Hebei Medical University, Shijiazhuang 050017, China.
Shangchun WuNational Research Institute for Family Planning, Beijing 100081, China.
Dianwu LiuSchool of Public Health, Hebei Medical University, Shijiazhuang 050017, China.
Marleen TemmermanInternational Centre for Reproductive Health (ICRH), Ghent University, 9000 Ghent, Belgium.ORCID 0000-0003-2069-8752
Wei-Hong ZhangInternational Centre for Reproductive Health (ICRH), Ghent University, 9000 Ghent, Belgium.ORCID 0000-0003-0380-770X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn China, there were about 9.76 million induced abortions in 2019, 50% of which were repeat abortions. Understanding the tendency of repeat induced abortion and identifying its related factors is needed to develop prevention strategies.

methodsTwo hospital-based cross-sectional surveys were conducted from 2005-2007 and 2013-2016 in 24 and 90 hospitals, respectively. The survey included women who sought an induced abortion within 12 weeks of pregnancy. The proportion of repeat induced abortions by adjusting the covariates through propensity score matching was compared between the two surveys, and the zero-inflated negative binomial regression model was established to identify independent factors of repeat induced abortion.

resultsAdjusting the age, occupation, education, marital status and number of children, the proportion of repeat induced abortions in the second survey was found to be low (60.28% vs. 11.11%), however the unadjusted proportion was high in the second survey (44.97% vs. 51.54%). The risk of repeat induced abortion was higher among married women and women with children [OR

conclusionsThe repeat induced abortion proportion was lower than 10 years ago. Induced abortion seekers who were married, aged 20 to 30 years and with a lower education level were more likely to repeat induced abortions.

Indexed as

Abortion, InducedAdultChildChinaCross-Sectional StudiesFemaleHumansMarital StatusPregnancySurveys and QuestionnairesYoung AdultChinese womencross-sectional studyfamily planning policyrepeat induced abortion

Identifiers

PMID33922140
PMCPMC8122746

What OpenQuestion holds

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Registered trials

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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.