0453 Longitudinal Relationship Between Insomnia and Work Productivity in Japanese City Government Employees

Abstract

Abstract Introduction “Presenteeism” refers to the decrease in productivity in employees who are present but not functioning at full capacity due to illness or other medical conditions. It is reported that the cost of presenteeism to businesses is 10 times higher than absenteeism (away from work due to illness or disability). Relative presenteeism is a ratio of actual performance to the performance of most workers at the same job. We analyzed effects of insomnia and depression two years before on presenteeism in a Japanese working population. Methods Questionnaire survey was conducted as a part of a cohort study named “Night in Japan Home Sleep Monitoring Study (NinJaSleep Study)” in 2016 and 2018. Participants were the city government employees in a rural city in Shiga prefecture, Japan. Presenteeism, insomnia and depression were analyzed by WHO-HPQ (Health and Work Performance Questionnaire), ISI (insomnia severity index) and PHQ-9 (Patient Depression Questionnaire), respectively. Pearson correlation coefficient analyses were performed to determine the strength of the association between two variables. Logistic regression was performed to estimate the odds ratio (OR) and 95% confidence interval (CI) of poor relative presenteeism (the lowest tertile of the relative presenteeism scores) after 2-year follow up. Results 1143 subjects (participation rate: 61.7%, 36.7% male, 44.5±11.4 years, BMI: 22.3±3.30) participated in both 2016 and 2018. Participants with poor productivity (poor relative presenteeism) in 2018 was significantly associated with ISI in 2016 (OR: 1.050, 95%CI: 1.010-1.090, p=0.013) but not with PHQ-9 in 2016 (OR: 1.008, 95%CI: 0.972-1.045, p=0.664) after adjusting for age, gender and BMI. Positive correlation was found between the total score of ISI and item 3 of PHQ-9 which asks insomnia or hypersomnia symptom (r=0.6122, P<0.0001). Conclusion Insomnia may be an independent risk factor for poor presenteeism. ISI may be useful to predict poor productivity in the future. Support Supported in part by a research grant from Investigator-Initiated Studies Program of Merck Sharp & Dohme Corp. / MSD K.K. The opinions expressed in this paper are those of the authors and do not necessarily represent those of Merck Sharp & Dohme Corp. / MSD K.K.”