Evidence map›Paper›PMID 41491523›Full record

ArticleBMC psychology2026

Psychological symptom clusters in pregnant women: a scoping review.

Danni Song, Weiwei Jiang, Shuang Hu, Congshan Pu, Jiaai Xia, Chun Zhao, Chunjian Shan, Yiting Wang

Abstract readScoping Review
In one paragraph

Article in BMC psychology, 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

8 authors.

Danni SongDepartment of Obstetrics, Women's Hospital of Nanjing Medical University(Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Weiwei JiangDepartment of Obstetrics, Women's Hospital of Nanjing Medical University(Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Shuang HuDepartment of Obstetrics, Women's Hospital of Nanjing Medical University(Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Congshan PuDepartment of Obstetrics, Women's Hospital of Nanjing Medical University(Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Jiaai XiaDepartment of Obstetrics, Women's Hospital of Nanjing Medical University(Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Chun ZhaoReproductive center, Women's Hospital of Nanjing Medical University(Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Chunjian ShanDepartment of Obstetrics, Women's Hospital of Nanjing Medical University(Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China. shanchunjian@njmu.edu.cn.
Yiting WangDepartment of Obstetrics, Women's Hospital of Nanjing Medical University(Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China. wangyiting@njmu.edu.cn.

Funding

National Natural Science Foundation of China 81971386
6 · The paper itself

Abstract

backgroundPregnancy exposes women to a wide range of psychological experiences that can carry deleterious consequences. Individual pregnancy-related psychological symptoms have been studied extensively, yet how symptoms group together is still unclear. This scoping review sought to map the composition, measurement tools, and analytical approaches used to identify psychological symptom clusters in pregnant women.

methodsAdhering to the PRISMA-ScR Checklist, literature searches were conducted across 7 databases: PubMed, Web of Science, the Cochrane Library, Embase, CINAHL, Wan Fang, and CNKI. The inclusion criteria were determined based on the study participants, concepts, and contexts. The data were retrieved from inception to July 1, 2024. Search selections and data extraction were conducted independently by two reviewers.

resultsA total of 25 articles met the inclusion criteria. Studies were conducted in 12 countries, mostly in Asia (n = 16) and Europe (n = 7), and most employed a cross-sectional design (n = 24). A single-symptom measurement scale (n = 20) and factor analysis (n = 24) were the most frequently used assessment methods. The reported psychological symptom clusters were classified into 5 categories; the anxiety (n = 10) and depression clusters (n = 5) were the most commonly identified. Predictors were categorized into 3 domains: sociodemographic, clinical, and psychological characteristics.

conclusionFurther research should focus on evaluating the internal consistency of symptom clusters, developing standardized tools to assess psychological symptom clusters in pregnant women, and exploring new analytical methods to improve clusters identification and uncover underlying biological mechanisms. Additionally, priority should be given to the creating and implementing evidence-based, standardized protocols for managing these symptom clusters during pregnancy.

Indexed as

AnxietyDepressionPregnancy ComplicationsPregnant PeopleFemaleHumansPregnancyPregnant womenPsychological symptomScoping reviewSymptom clusters

Identifiers

PMID41491523
PMCPMC12870022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.