Evidence map›Paper›PMID 41668048›Full record

ArticleBMC medicine2026

Association between trajectories of sleep quality and postpartum depression: a group-based trajectory model and computer-simulated network analysis.

Xiaoxiao Mei, Jinzhou Yu, Qianru Liu, Yan Li, Shuhan Li, Qianwen Chen, Hongman Li, Ying Xiong, Ranran Mei, Zengjie Ye

Abstract read
In one paragraph

Article in BMC medicine, 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

10 authors.

Xiaoxiao Mei *School of Nursing, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0003-2721-5784
Jinzhou Yu *School of Nursing, The University of Hong Kong, Hong Kong, China.
Qianru LiuWomen's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yan LiSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
Shuhan LiSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
Qianwen ChenSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, China.
Hongman LiSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, China.
Ying XiongSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, China.
Ranran MeiDepartment of Breast Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China. 1790908919@qq.com.
Zengjie YeSchool of Nursing, Guangzhou Medical University, Guangzhou, China. zengjieye@qq.com.

Funding

Science and Technology Projects in Guangzhou 2023A04J2473Young Elite Scientists Sponsorship Program by CACM 2021-QNRC2-B08
6 · The paper itself

Abstract

backgroundSleep quality during pregnancy and the postpartum period is increasingly acknowledged as a critical influencing factor of postpartum. However, the complexities of this relationship, particularly the core depressive symptoms across varying sleep quality trajectories, remain poorly understood.

methodsThis study included 372 participants from the "Be Resilient to Postpartum Depression" cohort, with data collected at four intervals spanning early pregnancy to 42 days after childbirth. Validated instruments were used to evaluate both sleep quality and postpartum depression. Data analysis employed group-based trajectory modeling and computer-simulated network analysis.

resultsTwo distinct trajectories of sleep quality were identified: "increasingly poor" trajectory (41.4%), which exhibited a markedly higher rate of postpartum depression (OR = 2.75, P < 0.001), and "stably good" trajectory (58.6%). Within the "increasingly poor" trajectory, the symptom "Things have been getting on top of me" emerged as both the core and aggravating symptom. In the "stably good" group, the core and aggravating symptom was "I have felt scared or panicky for no very good reason." Additionally, "I have been anxious or worried for no good reason" and "I have been so unhappy that I have had difficulty sleeping" were identified as key symptoms associated with alleviating depressive symptoms in the "increasingly poor" and the "stably good" groups, respectively.

conclusionsThe study underscores the heterogeneous nature of sleep quality trajectories and their distinct associations with postpartum depressive symptoms, highlighting the necessity for tailored mental health interventions.

Indexed as

Depression, PostpartumSleep QualityAdultComputer SimulationFemaleHumansPregnancyGroup-based trajectory modelNetwork analysisPostpartum depressionSleep quality

Identifiers

PMID41668048
PMCPMC12990398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.