Tomoko Suzuki1, Koichi Miyaki2, Yixuan Song3, Akizumi Tsutsumi4, Norito Kawakami5, Akihito Shimazu6, Masaya Takahashi7, Akiomi Inoue8, Sumiko Kurioka9. 1. Division of Clinical Epidemiology, Department of Clinical Research and Informatics, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo 162-8655, Japan; Department of Public Health, Kitasato University School of Medicine, Minami-ku, Kitasato 1-15-1, Sagamihara, Kanagawa 252-0374, Japan. Electronic address: tsuzuki-nii@umin.net. 2. Division of Clinical Epidemiology, Department of Clinical Research and Informatics, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo 162-8655, Japan. Electronic address: miyaki-keio@umin.net. 3. Division of Clinical Epidemiology, Department of Clinical Research and Informatics, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku-ku, Tokyo 162-8655, Japan. Electronic address: songyixuan1021@yahoo.co.jp. 4. Department of Public Health, Kitasato University School of Medicine, Minami-ku, Kitasato 1-15-1, Sagamihara, Kanagawa 252-0374, Japan. Electronic address: akizumi@kitasato-u.ac.jp. 5. Department of Mental Health, Tokyo University Graduate School of Medicine, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan. Electronic address: norito@m.u-tokyo.ac.jp. 6. Department of Mental Health, Tokyo University Graduate School of Medicine, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan. Electronic address: ashimazu@m.u-tokyo.ac.jp. 7. National Institute of Occupational Safety and Health, Tama-ku, Nagao 6-21-1, Kawasaki, Kanagawa 214-8585, Japan. Electronic address: takaham@h.jniosh.go.jp. 8. Department of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Iseigaoka 1-1, Yahata-nishi-ku, Kitakyushu, Fukuoka 807-8555, Japan. Electronic address: akiomi-tky@umin.ac.jp. 9. Graduate School of Business, Osaka City University, Sugimoto Sumiyoshi-ku, 3-3-138, Osaka-shi 558-8585, Japan. Electronic address: kurioka@med.uoeh-u.ac.jp.
Abstract
BACKGROUND: Absence due to mental disease in the workplace has become a global public health problem. We aimed to evaluate the influence of presenteeism on depression and absence due to mental disease. METHODS: A prospective study of 1831 Japanese employees from all areas of Japan was conducted. Presenteeism and depression were measured by the validated Japanese version of the World Health Organization Health and Work Performance Questionnaire (WHO-HPQ) and the K6 scale, respectively. Absence due to mental disease across a 2-year follow up was surveyed through medical certificates obtained for work absence. RESULTS: After adjusting for age and gender, participants with higher rates of sickness absolute and relative presenteeism (the lowest tertile of the scores) were significantly more likely to be absent due to mental disease (OR=4.40, 95% CI: 1.65-11.73, and OR=3.31, 95% CI: 1.50-7.27). Subsequently, higher rates of sickness absolute or relative presenteeism were significantly associated with higher rates of depression (K6≥13) one year later (OR=3.79, 95% CI: 2.48-5.81, and OR=2.89, 95% CI: 1.98-4.22). LIMITATIONS: The number of females in the sample was relatively small. However, the rates of absence for females with and without mental illness did not significantly differ from those of men. CONCLUSIONS: More sickness presenteeism scores were found to be related to higher rates of depression and absence due to mental disease in this large-scale cohort of Japanese workers. Measurement of presenteeism could be used to evaluate the risk for depression and absenteeism. Furthermore, our findings suggest that intervention to improve presenteeism would be effective in preventing depression and absence due to mental illness.
BACKGROUND: Absence due to mental disease in the workplace has become a global public health problem. We aimed to evaluate the influence of presenteeism on depression and absence due to mental disease. METHODS: A prospective study of 1831 Japanese employees from all areas of Japan was conducted. Presenteeism and depression were measured by the validated Japanese version of the World Health Organization Health and Work Performance Questionnaire (WHO-HPQ) and the K6 scale, respectively. Absence due to mental disease across a 2-year follow up was surveyed through medical certificates obtained for work absence. RESULTS: After adjusting for age and gender, participants with higher rates of sickness absolute and relative presenteeism (the lowest tertile of the scores) were significantly more likely to be absent due to mental disease (OR=4.40, 95% CI: 1.65-11.73, and OR=3.31, 95% CI: 1.50-7.27). Subsequently, higher rates of sickness absolute or relative presenteeism were significantly associated with higher rates of depression (K6≥13) one year later (OR=3.79, 95% CI: 2.48-5.81, and OR=2.89, 95% CI: 1.98-4.22). LIMITATIONS: The number of females in the sample was relatively small. However, the rates of absence for females with and without mental illness did not significantly differ from those of men. CONCLUSIONS: More sickness presenteeism scores were found to be related to higher rates of depression and absence due to mental disease in this large-scale cohort of Japanese workers. Measurement of presenteeism could be used to evaluate the risk for depression and absenteeism. Furthermore, our findings suggest that intervention to improve presenteeism would be effective in preventing depression and absence due to mental illness.
Authors: Márcia Astrês Fernandes; João Victor de Sousa Sales; Carla Danielle Araújo Feitosa; Rosana Dos Santos Costa; Chrystiany Plácido de Brito Vieira; Joyce Soares E Silva Journal: Rev Bras Med Trab Date: 2020-01-09
Authors: Lei Hum Wee; Lena Lay Ling Yeap; Caryn Mei Hsien Chan; Jyh Eiin Wong; Nor Aini Jamil; Yogarabindranath Swarna Nantha; Ching Sin Siau Journal: BMC Public Health Date: 2019-06-13 Impact factor: 3.295
Authors: Aline Silva-Costa; Pollyana C S Ferreira; Rosane H Griep; Lucia Rotenberg Journal: Int J Environ Res Public Health Date: 2020-09-16 Impact factor: 3.390