Sickness absence and shift work among Japanese factory workers.
To investigate the effect of shift work on long-term sickness absence (more than 7 calendar days), an 8-year follow-up study was carried out in a factory in Japan. The participants were male employees aged 18-54 years who were engaged in manufacturing sites. Shift patterns were classified by the number of non-daytime working days during the previous one-year. The causes of sickness absence were classified into three groups, 1) causes except injury, diseases of the musculoskeletal system and connective tissue, 2) injury, 3) diseases of the musculoskeletal system and connective tissue. The analysis of long-term sickness absences was based on the first occurrence. The age-adjusted incidence of sickness absence among shift workers who were on non-daytime shifts more than two-thirds of working days during the previous one year was significantly higher than that among other workers. After adjusting for confounding factors, a significant high risk still existed for this group of workers taking sickness absence for all causes and causes except for injury and the musculoskletal disorders. These findings suggest that shift workers who are engaged on a particular shift schedule are more likely to take leave due to sickness.
Morikawa
Y
Y
Kanazawa Medical University, Ishikawa, Japan.
Miura
K
K
Ishizaki
M
M
Nakagawa
H
H
Kido
T
T
Naruse
Y
Y
Nogawa
K
K
D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D015984:Causality; D002940:Circadian Rhythm; D003240:Connective Tissue Diseases / Q000453:epidemiology; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D007564:Japan / Q000453:epidemiology; D008297:Male; D008669:Metallurgy / Q000706:statistics & numerical data*; D008875:Middle Aged; D009140:Musculoskeletal Diseases / Q000453:epidemiology; D009784:Occupational Diseases / Q000453:epidemiology*; D010561:Personnel Staffing and Scheduling / Q000706:statistics & numerical data*; D018582:Sick Leave / Q000706:statistics & numerical data*; D014940:Work Schedule Tolerance; D014947:Wounds and Injuries / Q000453:epidemiology