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자료유형
학술저널
저자정보
Yano Yuichiro (The associations of the national health and productivity management program with corporate profits) Kanegae Hiroshi (Genki Plaza Medical Center for Health Care) Node Koichi (Department of Cardiovascular Medicine Saga University) Mizuno Atsushi (Department of Cardiology QI Center St. Luke’s International Hospital) Nishiyama Akira (Department of Pharmacology Faculty of Medicine Kagawa University) Rakugi Hiromi (7 Department of Geriatric and General Medicine Osaka University Graduate School of Medicine) Itoh Hiroshi (Department of Endocrinology Metabolism and Nephrology Keio University School of Medicine) Kitaoka Kaori (Department of Advanced Epidemiology Noncommunicable Disease (NCD) Epidemiology Research Center Shig) Kashihara Naoki (Department of Nephrology and Hypertension Kawasaki Medical School Kurashiki) Ikeno Fumiaki (Stanford Univ USA) Tsuji Ichiro (Division of Epidemiology Department of Health Informatics and Public Health Graduate School of Medi) Okada Kunio (Non-Profit Organization Kenkokeiei)
저널정보
한국역학회 Epidemiology and Health Epidemiology and Health Vol.44
발행연도
2022.1
수록면
1 - 6 (6page)
DOI
10.4178/epih.e2022080

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OBJECTIVES: Using a dataset from a survey on national health and productivity management, we identified health and pro ductivity factors associated with organizational profitability. METHODS: The Ministry of Economy, Trade and Industry conducted an annual survey on Health and Productivity Manage ment between 2014 and 2021. We assessed the associations of organizational health and productivity management using survey questions collected in 2017 and 2018, and the rate of change in profits from 2017 and 2018 to 2020. We identified factors associ ated with organizational profitability using eXtreme Gradient Boosting, and calculated SHapley Additive exPlanation (SHAP) values for each factor. RESULTS: Among 1,593 companies (n= 4,359,834 employees), the mean age for employees at baseline was 40.3 years and the proportion of women was 25.8%. The confusion matrix for evaluating model performance had accuracy of 0.997, precision of 0.993, recall of 0.997; and area under the precision-recall curve of 0.999. The most important factors related to an increase in corporate profits were the percentage of current smokers (SHAP value 0.121), per-employee cost for health services (0.084) and medical services (0.050); the percentage of full-time employees working in sales departments (0.074), distribution or customer service departments (0.054); the percentage of employees who sleep well (0.055); and the percentage of employees who have a habit of regular exercise within a company (0.043). CONCLUSIONS: The lifestyle health risk factors of employees and organizations’ management systems were associated with organizational profitability. Lifestyle medicine professionals may demonstrate a significant return on investment by creating a healthier and more productive workforce.

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