{"title":"Pilot study of musculoskeletal discomfort in Indonesian pregnant workers during COVID-19 pandemic era.","authors":"Bonardo Prayogo Hasiholan, Indri Hapsari Susilowati, Mellissa Withers","doi":"10.1177/20503121241278828","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This pilot study aims to analyze the factors influencing musculoskeletal discomfort in pregnant workers in Indonesia from occupational aspects, especially during the pandemic, to recommend further interventions and policies for a safer and healthier workplace.</p><p><strong>Methods: </strong>This study was a cross-sectional study. It used an online questionnaire to collect data on individual, occupational, and work environmental factors and musculoskeletal discomfort. We used Chi-square and logistic regression analysis to determine associations between the risk factors and the musculoskeletal discomfort.</p><p><strong>Results: </strong>A total of 126 women from multiple employment sectors participated. About 59% of respondents reported discomfort, with the majority having pain in the lower back (62.2%). Chi-square analysis revealed that age, history of injury, subjective agility and speed, length of working days in a week, and subjective temperature conformity were associated with the prevalence of musculoskeletal discomfort. Logistic regression revealed that age (<i>p</i> = 0.018 and OR = 2.218) and temperature conformity (<i>p</i> = 0.049 and OR = 2.157) were the most significant independent predictors of musculoskeletal discomfort.</p><p><strong>Conclusion: </strong>This study shows that temperature conformity is a predictor of musculoskeletal discomfort. Employers should consider this when determining whether their workplace is suitable for pregnant women. The treatment of younger workers needs attention, especially during pregnancy, they may need extra accommodation during pregnancy.</p>","PeriodicalId":21398,"journal":{"name":"SAGE Open Medicine","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11388303/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAGE Open Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20503121241278828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This pilot study aims to analyze the factors influencing musculoskeletal discomfort in pregnant workers in Indonesia from occupational aspects, especially during the pandemic, to recommend further interventions and policies for a safer and healthier workplace.
Methods: This study was a cross-sectional study. It used an online questionnaire to collect data on individual, occupational, and work environmental factors and musculoskeletal discomfort. We used Chi-square and logistic regression analysis to determine associations between the risk factors and the musculoskeletal discomfort.
Results: A total of 126 women from multiple employment sectors participated. About 59% of respondents reported discomfort, with the majority having pain in the lower back (62.2%). Chi-square analysis revealed that age, history of injury, subjective agility and speed, length of working days in a week, and subjective temperature conformity were associated with the prevalence of musculoskeletal discomfort. Logistic regression revealed that age (p = 0.018 and OR = 2.218) and temperature conformity (p = 0.049 and OR = 2.157) were the most significant independent predictors of musculoskeletal discomfort.
Conclusion: This study shows that temperature conformity is a predictor of musculoskeletal discomfort. Employers should consider this when determining whether their workplace is suitable for pregnant women. The treatment of younger workers needs attention, especially during pregnancy, they may need extra accommodation during pregnancy.