Evidence map›Paper›PMID 40124413›Full record

ArticleFrontiers in public health2025

The association between unintended pregnancy and maternal mental health in rural China.

Nan Wang, Yunjie Liu, Jianmin Ai, Jingchun Nie, Jie Yang

Abstract read
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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 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.

Nan WangCenter for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China.
Yunjie LiuCenter for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China.
Jianmin AiCenter for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China.
Jingchun NieCenter for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China.
Jie YangCenter for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Unintended pregnancies are common in rural China. However, the association between unintended pregnancy and maternal mental health remains poorly understood. This study aimed to assess the prevalence of unintended pregnancies, their association with mental health concerns, and the contributing factors in rural China. Methods: A cross-sectional design was used in this study. We included 473 pregnant women (age ranging from 18 to 45 years; local residency for at least 1 year; current pregnancy) from 10 counties in rural areas of Shaanxi Province, which is highly representative of rural northwest China in terms of economic status, geographical characteristics, and traditional culture. Mental health was assessed using the Depression, Anxiety, and Stress Scales-21 (DASS-21), widely recognized for its reliability, validity, and applicability in the Chinese context. Descriptive statistics and logistic regression analyses were employed to elucidate the prevalence of unintended pregnancy issues and explored their association with maternal mental health. Results: The prevalence rates of depression, anxiety, and stress in the full sample were 19.24, 23.68, and 10.99%, respectively. The proportion of unintended pregnancies was 41.44%, with significantly higher rates of depression, anxiety, and stress tendencies compared to intended pregnancy. Logistic regression analysis revealed a significant association between unintended pregnancy and an increased risk of anxiety tendency (OR = 1.96, 95% CI = 1.25-3.08, Conclusion: The positive correlation exists between unintended pregnancy and maternal mental health risks. The high prevalence of unintended pregnancies underscores the need for policies aimed at reducing their occurrence, as well as interventions targeting mental health support to pregnant women.

Indexed as

DepressionMental HealthPregnancy, UnplannedRural PopulationStress, PsychologicalAdolescentAdultAnxietyChinaCross-Sectional StudiesFemaleHumansMiddle AgedPregnancyPrevalenceYoung Adultanxietydepressionmaternal womenrural Chinastressunintended pregnancy

Identifiers

PMID40124413
PMCPMC11925795

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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.