Evidence map›Paper›PMID 42135711›Full record

ArticleBMC pregnancy and childbirth2026

Factors affecting loneliness in pregnant women: A scoping review.

Mengmeng Wang, Hongmei Liu, Wenqian Zhu, Zhiqi Li, Chunyu Li, Lihua Jin

Abstract readScoping Review
In one paragraph

Article in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mengmeng Wang *School of Nursing, Yanbian University, Yanji, 133002, China.
Hongmei Liu *Gastroenterology, Yanbian Hospital, Yanji, 133000, China.
Wenqian ZhuSchool of Nursing, Yanbian University, Yanji, 133002, China.
Zhiqi LiSchool of Nursing, Yanbian University, Yanji, 133002, China.
Chunyu LiSchool of Nursing, Yanbian University, Yanji, 133002, China.
Lihua JinSchool of Nursing, Yanbian University, Yanji, 133002, China. lhjin2014@ybu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoneliness during pregnancy is a critical yet overlooked determinant of maternal health, distinct from postpartum depression. While the COVID-19 pandemic highlighted this vulnerability, the mechanisms and typologies of prenatal loneliness remain under-researched.

methodsA scoping review was conducted following PRISMA-ScR guidelines. Seven databases were searched up to March 15, 2025. Influencing factors were first screened according to the Social-Ecological Model (SEM) framework, followed by thematic analysis.

resultsTwenty-three studies were included. Alongside emotional and social loneliness, a context-specific form tied to role transition during matrescence was identified ('transitional loneliness'). The reported prevalence of loneliness varied substantially, ranging from 26.26% to 55.40%. This wide variation likely reflects methodological heterogeneity (e.g., sampling and assessment tools) and population characteristics. Determinants were categorized into individual, interpersonal, community, and societal levels.

conclusionsCurrent generic instruments fail to capture the unique transitional nature of prenatal loneliness. Addressing this issue requires developing pregnancy-specific assessment tools and implementing multi-level interventions targeting multi-level socio-ecological factors.

Indexed as

LonelinessPregnancy ComplicationsPregnant PeopleFemaleHumansPregnancyLonelinessMeasurement toolsPregnancyScoping reviewSocial-ecological modelTransitional loneliness

Identifiers

PMID42135711
PMCPMC13377781

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.