Literature DB >> 31348424

Potential Work Time Lost Due to Sickness Absence and Presence Among Japanese Workers.

Odgerel Chimed-Ochir1, Tomohisa Nagata, Masako Nagata, Shigeyuki Kajiki, Koji Mori, Yoshihisa Fujino.   

Abstract

OBJECTIVE: The current study aimed to quantify the overall sickness absence and sickness presence in five Japanese companies.
METHODS: Two indicators were calculated: worktime lost rates and average working days lost per employee per annum.
RESULTS: In total, 1.1% of working days per annum were lost due to sick leave. The average number of annual sick-leave days per employee was 2.58. Sickness presence accounted for a total worktime loss of 6.55% and an average of 15.36 work days lost per employee per annum. Overall, employees lost 7.65% of their total working days, or an average of 17.92 days were lost per employee per annum, due to sickness leave and sickness presence combined.
CONCLUSION: Sickness-absence rate among Japanese workers is quite lower than other countries; however, sickness presence is more critical than absenteeism, which is in line with other countries.

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Year:  2019        PMID: 31348424     DOI: 10.1097/JOM.0000000000001646

Source DB:  PubMed          Journal:  J Occup Environ Med        ISSN: 1076-2752            Impact factor:   2.162


  3 in total

1.  Pain, unhealthy days and poor perceived health among Japanese workers.

Authors:  Odgerel Chimed-Ochir; Yuko Mine; Yoshihisa Fujino
Journal:  J Occup Health       Date:  2019-10-18       Impact factor: 2.708

2.  The Economic Burden of Lost Productivity due to Presenteeism Caused by Health Conditions Among Workers in Japan.

Authors:  Takahiko Yoshimoto; Hiroyuki Oka; Tomoko Fujii; Tomohisa Nagata; Ko Matsudaira
Journal:  J Occup Environ Med       Date:  2020-10       Impact factor: 2.306

3.  Work functioning impairment in the course of pharmacotherapy treatment for depression.

Authors:  Tomohisa Nagata; Yoshihisa Fujino; Makoto Ohtani; Kenji Fujimoto; Masako Nagata; Shigeyuki Kajiki; Makoto Okawara; Koji Mori
Journal:  Sci Rep       Date:  2020-09-24       Impact factor: 4.379

  3 in total

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