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http://dx.doi.org/10.15269/JKSOEH.2022.32.3.221

Association between Shiftwork and Skeletal Muscle Mass Index  

Park, Young Sook (Department of Physical & Rehabilitation Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine)
Chae, Chang Ho (Department of Occupational & Environmental Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine)
Lee, Hae Jeong (Department of Pediatrics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine)
Kim, Dong Hee (Department of orthopedic, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine)
Publication Information
Journal of Korean Society of Occupational and Environmental Hygiene / v.32, no.3, 2022 , pp. 221-230 More about this Journal
Abstract
Objectives: The aim of this study is to evaluate the association between shiftwork and skeletal muscle mass index in a single university health check-up. Methods: We used data from 98,227 workers who answered in a special interview on health check-up at a local university hospital from 2014 to 2020. Pearson correlation analysis was conducted for comparing the association between skeletal muscle mass index and demographic and hematological variables in shiftwork and non-shiftwork groups. Mixed linear model analysis after controlling demographic and hematological variables was used to analyze the difference of skeletal muscle mass index between groups at every visit for seven years. Results: In linear regression analysis, the variables most significantly correlated with skeletal muscle index in both groups were shiftwork(p=0.049), BMI(p<0.001), hypertension(p=0.024), platelet(p<0.001), total protein (p<0.001), AST(p=0.028), ALT(p=0.003), ALP(p<0.001), total cholesterol(p=0.002), triglyceride(p=0.019), BUN (p=0.001), creatinine(p<0.001), and uric acid(p=0.002). After the adjustment for demographic and hematologic variables, the skeletal muscle mass index at every visit was decreased both in the shiftwork group and non-shiftwork group. The slope of the shiftwork group was -0.240 and non-shiftwork group -0.149, showing a significant difference (p<0.001). Conclusions: In the shiftwork group, the skeletal muscle mass index showed a tendency to decrease markedly over time compared to the non-shiftwork group. It is presumed that shift workers' skeletal muscle health was adversely affected by changes in the biological clock due to changes in wake-up and sleep patterns, and changes in food intake.
Keywords
Shiftwork; skeletal muscle mass index; health check-up;
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