Evidence map›Paper›PMID 41876869›Full record

ReviewCurrent psychiatry reports2026

Optimizing Non-Pharmacological Support for Perinatal Mental Health: A Bayesian Network Meta-Analysis of Intervention Effects by Pregnancy/Postpartum Stage.

Zecheng Li, Lamu Nima, Yiyao Song, Yan Li

Abstract readNetwork Meta-AnalysisReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 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

4 authors.

Zecheng Li *Department of Exercise Physiology, Sport Science School, Beijing Sport University, No. 48 Xinxi Road, Haidian District, Beijing, 100084, China.
Lamu Nima *Division of Sports Science & Physical Education, Tsinghua University, Beijing, 100084, China.
Yiyao SongSchool of Exercise and Health, Shanghai University of Sport, Shanghai, 200438, China.
Yan LiDepartment of Exercise Physiology, Sport Science School, Beijing Sport University, No. 48 Xinxi Road, Haidian District, Beijing, 100084, China. bsuliyan@bsu.edu.cn.

Funding

Chinese Universities Scientific Fund 2024JNPD002
6 · The paper itself

Abstract

purpose of reviewNon-pharmacological interventions for perinatal mental health lack personalized guidance tailored to the distinct stages of pregnancy. To address this evidence gap, this study employed a network meta-analysis, aiming to identify the optimal non-pharmacological intervention strategies for the perinatal period.

findingsThe analysis included 153 RCTs. For prenatal patients, cognitive behavioral therapy (CBT) proved most effective for depression (SMD = -1.27, 95% CI = -1.98, -0.55), while mindfulness was most effective for anxiety (SMD = -1.44, 95% CI = -2.11, -0.77). For postpartum patients, music therapy (SMD = -1.20, 95% CI = -2.05, -0.36) and educational interventions (SMD = -1.20, 95% CI = -2.05, -0.36) proved most effective. For postpartum anxiety, relaxation training was most effective (SMD = -1.90, 95% CI = -2.50, -1.31). For prevention, music interventions were most effective in reducing the risk of postpartum depression (SMD = -1.28, 95% CI = -2.44, -0.13) and anxiety (SMD = -1.53, 95% CI = -1.92, -1.15). During pregnancy, prioritize cognitive behavioral therapy and mindfulness-based interventions to alleviate symptoms, supplemented by music therapy and psychotherapy for prevention to reduce postpartum risks. For postpartum depression, prioritize music therapy and educational interventions.

Indexed as

AnxietyCognitive Behavioral TherapyDepression, PostpartumPostpartum PeriodPregnancy ComplicationsBayes TheoremFemaleHumansMindfulnessMusic TherapyPregnancyAnxietyDepressionMeta-analysisNon-pharmacological interventionsPerinatal Mental Health

Identifiers

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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.