{"title":"Impact of Impaired Fasting Glucose on Musculoskeletal Pain Among Female-Dominated Healthcare Workers.","authors":"Yong-Hsin Chen, Jia-June Lin, Hsiu-Mei Tang, Ching-Wen Yang, Gwo-Ping Jong, Yi-Sun Yang","doi":"10.3390/jpm15040122","DOIUrl":null,"url":null,"abstract":"<p><p><b>Introduction</b>: In 2021, 10.5% of people aged 20-79 had diabetes, projected to rise to 12.2% by 2045, causing early deaths and straining healthcare systems. Musculoskeletal (MS) pain is common, affecting many workers and the general population. Prediabetes, notably impaired fasting glucose (IFG), is linked to increased MS pain risk. Objective: This study aims to assess IFG's impact on MS pain and specific pain sites to aid prevention strategies. <b>Methods</b>: This cross-sectional study used the '2023 Employee Occupational Safety and Health Management Database' from a Taichung hospital. It included health checks, demographics, living and work data, and MS pain surveys. Out of 2369 staff members contacted, 1039 valid responses were analyzed, excluding incomplete data, diabetes history, or fasting blood glucose levels above 125 mg/dL. Data on sex, age, marital status, coffee and alcohol consumption, sleep duration, exercise habits, height, weight, chronic diseases, profession, work hours, shift work, and education level were collected. Fasting blood glucose was verified using American Diabetes Association criteria (100-125 mg/dL). The Nordic Musculoskeletal Questionnaire (NMQ) measured MS pain frequency and severity, creating a pain degree index. <b>Results</b>: Overall, 21.17% had IFG. Participants were mostly female (85.18%), averaging 37.50 years. Neck and shoulder pain risk was linked to sex, coffee and alcohol consumption, sleep, exercise, chronic diseases, work hours, and IFG. Ankle pain risk was linked to coffee and alcohol consumption. IFG, coffee, alcohol, sleep under 6 h, chronic diseases, and work hours were independent risk factors for neck and shoulder pain. IFG was a risk factor for those without overweight or obesity. A mediation model tested IFG's indirect effect on neck and shoulder pain among overweight or obese individuals, showing that IFG mediates the relationship between being overweight or obese and increased neck and shoulder pain risk. <b>Conclusions</b>: Among female-dominated healthcare workers, IFG, daily coffee, recent alcohol consumption, less than 6 h of sleep, chronic diseases (excluding diabetes), and longer work hours are independent risk factors for neck and shoulder pain. IFG mainly affects these areas, increasing pain risk regardless of body weight. Healthy blood glucose levels are associated with a lack of musculoskeletal pain, suggesting a novel prevention approach needing further study.</p>","PeriodicalId":16722,"journal":{"name":"Journal of Personalized Medicine","volume":"15 4","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12028811/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Personalized Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/jpm15040122","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: In 2021, 10.5% of people aged 20-79 had diabetes, projected to rise to 12.2% by 2045, causing early deaths and straining healthcare systems. Musculoskeletal (MS) pain is common, affecting many workers and the general population. Prediabetes, notably impaired fasting glucose (IFG), is linked to increased MS pain risk. Objective: This study aims to assess IFG's impact on MS pain and specific pain sites to aid prevention strategies. Methods: This cross-sectional study used the '2023 Employee Occupational Safety and Health Management Database' from a Taichung hospital. It included health checks, demographics, living and work data, and MS pain surveys. Out of 2369 staff members contacted, 1039 valid responses were analyzed, excluding incomplete data, diabetes history, or fasting blood glucose levels above 125 mg/dL. Data on sex, age, marital status, coffee and alcohol consumption, sleep duration, exercise habits, height, weight, chronic diseases, profession, work hours, shift work, and education level were collected. Fasting blood glucose was verified using American Diabetes Association criteria (100-125 mg/dL). The Nordic Musculoskeletal Questionnaire (NMQ) measured MS pain frequency and severity, creating a pain degree index. Results: Overall, 21.17% had IFG. Participants were mostly female (85.18%), averaging 37.50 years. Neck and shoulder pain risk was linked to sex, coffee and alcohol consumption, sleep, exercise, chronic diseases, work hours, and IFG. Ankle pain risk was linked to coffee and alcohol consumption. IFG, coffee, alcohol, sleep under 6 h, chronic diseases, and work hours were independent risk factors for neck and shoulder pain. IFG was a risk factor for those without overweight or obesity. A mediation model tested IFG's indirect effect on neck and shoulder pain among overweight or obese individuals, showing that IFG mediates the relationship between being overweight or obese and increased neck and shoulder pain risk. Conclusions: Among female-dominated healthcare workers, IFG, daily coffee, recent alcohol consumption, less than 6 h of sleep, chronic diseases (excluding diabetes), and longer work hours are independent risk factors for neck and shoulder pain. IFG mainly affects these areas, increasing pain risk regardless of body weight. Healthy blood glucose levels are associated with a lack of musculoskeletal pain, suggesting a novel prevention approach needing further study.
期刊介绍:
Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.