{"title":"COVID-19流行期间在线学习引起的肌肉骨骼症状的患病率:系统综述和荟萃分析","authors":"Tanawat Gotum, Orawan Keeratisiroj, Wutthichai Jariya","doi":"10.12688/f1000research.152382.3","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The objective of this research was to assess the prevalence of musculoskeletal symptoms in online students.</p><p><strong>Materials and methods: </strong>A systematic review and meta-analysis were performed by searching the PubMed, Cochrane Library, SCOPUS, Web of Science, ScienceDirect, ProQuest, CINAHL plus with full text, and Wiley InterScience databases. A total of 3,749 studies were identified between January 2020 and December 2023. The Joanna Briggs Tool for studies reporting prevalence was used to assess the quality of studies. Jamovi 2.4 was used in the meta-analysis.</p><p><strong>Results: </strong>Sixteen studies were included and used for the meta-analysis. The average age of participants was 22 years, with an age range of 17-45 years, Sample range 120-3,705. There were 6 studies of high quality, 9 studies of medium quality and 1 study of low quality. The areas with the highest prevalence of musculoskeletal pain were the neck (51%, 95% CI = 36-66%, I <sup>2</sup> = 99.96), lower back (51%, 95% CI = 42-59%, I <sup>2</sup> = 99.96) and shoulder (36%, 95% CI = 26-47%, I <sup>2</sup> = 99.61).</p><p><strong>Conclusions: </strong>The shift to online learning during the COVID-19 pandemic has emerged as a potential factor influencing musculoskeletal pain in students. Educational institutions should study the duration of online learning that begins to impact student injury outcomes.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"790"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150206/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence of musculoskeletal symptoms from online learning during the COVID-19 epidemic: a systematic review and meta-analysis.\",\"authors\":\"Tanawat Gotum, Orawan Keeratisiroj, Wutthichai Jariya\",\"doi\":\"10.12688/f1000research.152382.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The objective of this research was to assess the prevalence of musculoskeletal symptoms in online students.</p><p><strong>Materials and methods: </strong>A systematic review and meta-analysis were performed by searching the PubMed, Cochrane Library, SCOPUS, Web of Science, ScienceDirect, ProQuest, CINAHL plus with full text, and Wiley InterScience databases. A total of 3,749 studies were identified between January 2020 and December 2023. The Joanna Briggs Tool for studies reporting prevalence was used to assess the quality of studies. Jamovi 2.4 was used in the meta-analysis.</p><p><strong>Results: </strong>Sixteen studies were included and used for the meta-analysis. The average age of participants was 22 years, with an age range of 17-45 years, Sample range 120-3,705. There were 6 studies of high quality, 9 studies of medium quality and 1 study of low quality. The areas with the highest prevalence of musculoskeletal pain were the neck (51%, 95% CI = 36-66%, I <sup>2</sup> = 99.96), lower back (51%, 95% CI = 42-59%, I <sup>2</sup> = 99.96) and shoulder (36%, 95% CI = 26-47%, I <sup>2</sup> = 99.61).</p><p><strong>Conclusions: </strong>The shift to online learning during the COVID-19 pandemic has emerged as a potential factor influencing musculoskeletal pain in students. Educational institutions should study the duration of online learning that begins to impact student injury outcomes.</p>\",\"PeriodicalId\":12260,\"journal\":{\"name\":\"F1000Research\",\"volume\":\"13 \",\"pages\":\"790\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150206/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"F1000Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12688/f1000research.152382.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"Pharmacology, Toxicology and Pharmaceutics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"F1000Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/f1000research.152382.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究的目的是评估在线学生中肌肉骨骼症状的患病率。材料和方法:通过检索PubMed、Cochrane Library、SCOPUS、Web of Science、ScienceDirect、ProQuest、CINAHL plus全文和Wiley InterScience数据库进行系统评价和meta分析。在2020年1月至2023年12月期间,共确定了3749项研究。乔安娜布里格斯工具用于报告患病率的研究,以评估研究的质量。meta分析采用Jamovi 2.4。结果:16项研究被纳入meta分析。参与者的平均年龄为22岁,年龄范围为17-45岁。有6项高质量研究,9项中等质量研究和1项低质量研究。肌肉骨骼疼痛发生率最高的部位是颈部(51%,95% CI = 36-66%)、下背部(51%,95% CI = 42-59%)和肩部(36%,95% CI = 26-47%)。结论:在2019冠状病毒病大流行期间,转向在线学习已成为影响学生肌肉骨骼疼痛的潜在因素。教育机构应该研究在线学习的持续时间,这开始影响学生伤害的结果。
Prevalence of musculoskeletal symptoms from online learning during the COVID-19 epidemic: a systematic review and meta-analysis.
Purpose: The objective of this research was to assess the prevalence of musculoskeletal symptoms in online students.
Materials and methods: A systematic review and meta-analysis were performed by searching the PubMed, Cochrane Library, SCOPUS, Web of Science, ScienceDirect, ProQuest, CINAHL plus with full text, and Wiley InterScience databases. A total of 3,749 studies were identified between January 2020 and December 2023. The Joanna Briggs Tool for studies reporting prevalence was used to assess the quality of studies. Jamovi 2.4 was used in the meta-analysis.
Results: Sixteen studies were included and used for the meta-analysis. The average age of participants was 22 years, with an age range of 17-45 years, Sample range 120-3,705. There were 6 studies of high quality, 9 studies of medium quality and 1 study of low quality. The areas with the highest prevalence of musculoskeletal pain were the neck (51%, 95% CI = 36-66%, I 2 = 99.96), lower back (51%, 95% CI = 42-59%, I 2 = 99.96) and shoulder (36%, 95% CI = 26-47%, I 2 = 99.61).
Conclusions: The shift to online learning during the COVID-19 pandemic has emerged as a potential factor influencing musculoskeletal pain in students. Educational institutions should study the duration of online learning that begins to impact student injury outcomes.
F1000ResearchPharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍:
F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.