Evidence map›Paper›PMID 34414936›Full record

SynthesisMedicine2021

Multidimensional analyses of the effect of exercise on women with depression: A meta-analysis.

Lin-Bo Yan, Jing-Zhi Zhang, Qian Zhou, Feng-Lin Peng

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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.

Lin-Bo YanInstitutional affiliation: Guangxi Normal University.ORCID 0000-0001-5032-5506
Jing-Zhi ZhangInstitutional affiliation: Guangxi Normal University.
Qian ZhouInstitutional affiliation: Guangxi Normal University.
Feng-Lin PengCollege of Physical Education and Health, Guangxi Normal University, Guilin 541000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe proportion of women is higher than men in depression. This is mainly due to women's physiological regulation is different from men, especially in puberty, menstruation, pregnancy, menopause, among others. Therefore, treating depressive women is still a health challenge. Besides, recent studies of exercise therapy have a more outstanding performance in treating depression, especially in contrast to drug therapy and psychotherapy. Its main advantages are convenience, quickness, no side effects, real-time, and long-term effectiveness.

objectiveThe aim of this study was to systematically review the clinical efficacy of exercise on women with depressive symptoms.

methodsSearching PubMed, The Cochrane Library, and Embase databases to collect randomized controlled trials about exercise in the treatment of depressive women. After literature screening, data extraction, and literature quality evaluation, the meta-analysis of acquirement data was performed with RevMan5.3 software.

resultsA total of 2294 patients were included in 25 different articles totally. Meta-analysis shows that compared with the control group, exercise could relieve female depression (standard mean difference [95% confidence interval, CI] = -0.64 [-0.89 to -0.39], Z = 4.99, P < .001). Subgroup analysis shows that different types of exercise have significant effects in improving depression symptoms. Exercise therapy has better effect on depressive patients induced by physiology or disease than ordinary depressive patients.

conclusionExercise can significantly improve depressive symptoms in women.

Indexed as

Exercise TherapyDepressionFemaleHumansTreatment Outcome

Identifiers

PMID34414936
PMCPMC8382388

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.