Evidence map›Paper›PMID 36430056›Full record

SynthesisInternational journal of environmental research and public health2022

Intervention of Physical Activity for University Students with Anxiety and Depression during the COVID-19 Pandemic Prevention and Control Period: A Systematic Review and Meta-Analysis.

Qingyuan Luo, Peng Zhang, Yijia Liu, Xiujie Ma, George Jennings

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Qingyuan LuoSchool of Wushu, Chengdu Sport University, Chengdu 610041, China.
Peng ZhangSchool of Wushu, Chengdu Sport University, Chengdu 610041, China.
Yijia LiuSchool of Foreign Languages, Xi'an Jiaotong University, Xi'an 710100, China.
Xiujie MaSchool of Wushu, Chengdu Sport University, Chengdu 610041, China.ORCID 0000-0002-2422-3351
George JenningsCardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF23 6XD, UK.ORCID 0000-0002-3781-568X
Chengdu Sport University · CNCardiff Metropolitan University · GBXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Although physical activity has been widely recognized as an effective way to improve anxiety and depression, we lack a systematic summary of research on improving anxiety and depression during the COVID-19 pandemic. The study aims to systematically analyze how physical activity impacts on this situation in college students during COVID-19. (2) Methods: Both Chinese and English databases (PubMed the Cochrane Library, EMBASE, Web of Science, Scopus, Chinese National Knowledge Infrastructure, Wanfang) were analyzed. All the randomized controlled trials (RCTs) about physical activity intervention for this were included. We received eight eligible RCT experiments before the retrieval time (4 October 2022) in the meta-analysis. (3) Results: Physical activity benefits for college students with significant anxiety were (SMD = -0.50; 95% CI = -0.83 to -0.17; I

Indexed as

COVID-19AnxietyDepressionExerciseHumansStudentsUniversitiesanxietyCOVID-19 epidemicdepressionmeta-analysisphysical activitysystematic reviewuniversity students

Identifiers

PMID36430056
PMCPMC9692258
OpenAlexW4309683157

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.