ArticleAdvances in disease control and prevention
Induced Abortion among Chinese Women with Living Child-A National Study.
Article in Advances in disease control and prevention. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- The Top 100 Most Cited Articles on Intrauterine Adhesion: a Bibliometric Analysis.Reproductive sciences (Thousand Oaks, Calif.) · 2022Article
- Prevalence of induced abortion among Chinese women aged 18-49 years: Findings from three cross-sectional studies.Frontiers in public health · 2022Article
- Magnitude of Induced Abortion and Associated Factors among Female Students of Hawassa University, Southern Region, Ethiopia, 2019.Journal of pregnancy · 2020Article
- Changes in the Prevalence of Induced Abortion in the Floating Population in Major Cities of China 2007-2014.International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
objectiveInduced abortion is widely practiced in China. However, the information on induced abortion is limited. A national cross-sectional survey was designed to determine the risk factors of induced abortion among Chinese women with one child.
methodsWe sampled 16,881 Chinese women with one living child for the study. A structured questionnaire was used to collect induced abortion and related health information. The National Research Institute for Family Planning of China conducted a cross-sectional study among women who had delivered a baby between 2006 and 2008. Information was collected in relation to demographic characteristics (age, ethnicity, region, area etc.), social economic status (education level and occupation), marriage, and the attitude towards potential child's gender. Multi-logistic regression was used to test potential predictors for conducting abortion stratified by consistency between gender preference and current infants' gender, and indicating adjusted estimation on selected models of risk factors for abortion.
resultsThe mean age of participants was 27.96 ± 4.10 years (median 27 years). Among those women, the prevalence of induced abortion was 8.13 %. In the final model, females living in rural areas (OR = 1.21, 95 %CI: 1.04-1.39), individuals ages 18-25 (OR = 0.84, 95% CI: 0.72-0.99), individuals ages 30 or older (OR = 1.63, 95% CI: 1.42-1.86), and single individuals (OR = 1.72, 95% CI: 1.05-2.83) were more likely to experience induced abortion. Wife gender preference (OR = 0.66, 95 %CI: 0.53-0.83), husband gender preference (Boy: OR = 1.33, 95 %CI: 1.10-1.63; Girl: OR = 1.5, 95% CI: 1.22-1.86), and the area where the individuals were located were significantly associated with the reporting of induced abortion.
conclusionThe prevalence of induced abortion is high among married women with child in China. There are also socio-demographic characteristics associated with induced abortion in China.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.