Evidence map›Paper›PMID 34521386›Full record

SynthesisBMC pregnancy and childbirth2021

Effectiveness of nonpharmacological interventions for reducing postpartum fatigue: a meta-analysis.

Jialu Qian, Shiwen Sun, Lu Liu, Xiaoyan Yu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% of its field
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  5. The relationship of birth memory with anxiety and fatigue in postpartum women experiencing earthquake: The case of the Kahramanmaraş earthquake.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
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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 at 2 institutions in 1 country.

Jialu QianZhejiang University School of Medicine, Zhejiang, Hangzhou, China.
Shiwen SunDepartment of Obstetrics and Gynecology, Women's Hospital School of Medicine, Zhejiang University, 1st Xueshi Road, Hangzhou, 310006, Zhejiang Province, China.
Lu LiuZhejiang University School of Medicine, Zhejiang, Hangzhou, China.
Xiaoyan YuDepartment of Obstetrics and Gynecology, Women's Hospital School of Medicine, Zhejiang University, 1st Xueshi Road, Hangzhou, 310006, Zhejiang Province, China. yuxy@zju.edu.cn.
Women's Hospital, School of Medicine, Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostpartum fatigue is the most common issue among postnatal women and it could not only seriously affect the health of mothers but also bring about adverse impacts on their offspring. This meta-analysis aims to synthesize nonpharmacological evidence and evaluate the effectiveness of interventions for reducing postpartum fatigue among puerperae.

methodsThe Cochrane Library, PubMed, Embase, Web of Science, PsycINFO, CINAHL and ProQuest databases were searched for papers published from inception until June 2021. Grey literature was searched using OpenGrey. Randomized controlled trials (RCTs) or controlled clinical trials (CCTs) evaluating nonpharmacological interventions conducted during 0 ~ 78 weeks postpartum for fatigue reduction were eligible for inclusion. The methodological quality of the included studies was independently assessed by two reviewers using the Cochrane risk-of-bias tool and the risk of bias in nonrandomized studies of interventions. Cohen's kappa coefficient was used to measure inter-rater agreement. The meta-analysis was conducted using Review Manager 5.3.

resultsSeventeen published clinical trials matched the eligibility criteria and ten studies involving 1194 participants were included in this meta-analysis. The intervention start time varied from immediately postpartum care to 1 year after delivery, and duration ranged from 1 day to 3 months. The results revealed that exercise (SMD = - 1.74, 95% CI = -2.61 to - 0.88) and drinking tea (MD = - 3.12, 95% CI = -5.44 to - 0.80) resulted in significant improvements in women's postpartum fatigue at postintervention. Drinking tea may have beneficial effects on depression (MD = - 2.89, 95% CI = -4.30 to - 1.49). Positive effects of psychoeducational interventions on postpartum fatigue or depression were not observed. Physical therapies including mother-infant skin-to-skin contact, taking warm showers and breathing lavender oil aroma were used for reducing postpartum fatigue. No significant risk of publication bias was found. Small number of included studies and sample sizes, not time-matched conditions of control groups, high heterogeneity and the risk of bias within the included studies were the main limitations of our review.

conclusionsThis review provides evidence that exercise and drinking tea may be effective nonpharmacological interventions for relieving postpartum fatigue. More effective and targeted exercise programs need to be further studied. Rigorous RCTs of drinking tea are needed. Caution is required when interpreting the findings due to the limitations of our study. Further studies are still needed to validate our findings and increase confidence in the results.

Indexed as

TeaClinical Trial Protocols as TopicDepressionDepression, PostpartumExerciseFatigueFemaleHumansInfant, NewbornMother-Child RelationsPostpartum PeriodPregnancyTeaDepressionFatigueMeta-analysisNonpharmacological interventionsPostpartum

Identifiers

PMID34521386
PMCPMC8442348
OpenAlexW3201057061

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.