Evidence map›Paper›PMID 42204490›Full record

ArticleBMC public health2026

Perinatal trajectories of help-seeking stigma and correlates: a prospective cohort study.

Tan Wang, Ying Wang, Jian Peng, Xiaoxv Yin, Qin Yan, Zina Fan, Lei Qiu, Yanhong Gong

Abstract read
In one paragraph

Article in BMC public health, 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.

Tan WangDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Ying WangKey Laboratory of Tropical Translational Medicine of Ministry of Education, School of Public Health, Hainan Academy of Medical Sciences, Hainan Medical University, Haikou, Hainan, 571199, China.
Jian PengDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Xiaoxv YinDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Qin YanDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Zina FanDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Lei QiuKey Laboratory of Tropical Translational Medicine of Ministry of Education, School of Public Health, Hainan Academy of Medical Sciences, Hainan Medical University, Haikou, Hainan, 571199, China. qiulei@muhn.edu.cn.
Yanhong GongDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China. gongyanhong@hust.edu.cn.

Funding

the National Natural Science Foundation of China 72274072
6 · The paper itself

Abstract

backgroundHelp-seeking stigma (stigma of seeking professional psychological help) is a major barrier to perinatal mental health service use. However, longitudinal evidence on heterogeneous stigma trajectories and their baseline correlates remains limited.

methodsPregnant women were recruited in the second trimester from four hospitals in two Chinese cities and completed stigma assessments at four time points (second trimester, third trimester, 1 month postpartum, and 3 months postpartum). Latent growth curve modelling assessed mean change and inter-individual variability. Growth mixture modelling identified latent trajectory classes. Baseline correlates of class membership were examined using R3STEP classification-adjusted multinomial logistic regression.

resultsOf 1,250 enrolled women, 1,063 (85.0%) completed all assessments. Mean stigma remained stable, but significant heterogeneity was observed in both intercept and slope. Four trajectories were identified: low and decreasing (29.4%), moderate and stable (45.4%), high and increasing (18.3%), and moderate and rapidly increasing (6.9%). Compared with the moderate and stable class, elevated depressive symptoms at baseline (second trimester; EPDS ≥ 10) were associated with higher odds of the high and increasing class (adjusted odds ratio [aOR] = 2.46, 95% CI 1.63-3.71) and lower odds of the low and decreasing class (aOR = 0.50, 95% CI 0.30-0.84). More positive help-seeking attitudes and higher resilience were associated with lower odds of high and increasing and moderate and rapidly increasing trajectories. Unmarried/divorced status was associated with higher odds of the two increasing trajectories.

conclusionsMean-level stability in help-seeking stigma concealed clinically meaningful heterogeneity, with some women showing persistently moderate stigma and others following increasing trajectories over time. Baseline depressive symptoms, help-seeking attitudes, resilience, and marital status may support risk stratification within routine antenatal and early postpartum contacts, enabling targeted low-burden stigma-reduction and referral navigation to improve linkage to perinatal mental health care.

Indexed as

Help-Seeking BehaviorPatient Acceptance of Health CareSocial StigmaAdultChinaFemaleHumansPregnancyProspective StudiesYoung AdultDepressive symptomsPerinatalStigma of seeking professional psychological helpTrajectories

Identifiers

PMID42204490
PMCPMC13440186

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.