Distribution of working hour characteristics by race, age, gender, and shift schedule among U.S. manufacturing workers

• Published in: Chronobiology international 2023-03, Vol.40 (3), p.310-323
• Main Authors: Ferguson, Jacqueline M., Bradshaw, Patrick T., Eisen, Ellen A., Rehkopf, David, Cullen, Mark R., Costello, Sadie
• Format: Article
• Language: English
• Subjects: circadian disruption; Circadian Rhythm; Female; Humans; joint distribution; shift domains; Shift work; Sleep; Sleep Disorders, Circadian Rhythm; Work Schedule Tolerance; working time
• ISSN: 0742-0528; 1525-6073
• DOI: 10.1080/07420528.2023.2168200

Shift work is a common occupational exposure, however, few studies have examined aspects of shift work beyond night work and long hours, such as rotational patterns or weekend work, which may contribute to poor health through disruption of the body's circadian rhythms. In this manuscript, we calculated the prevalence of working hour characteristics using algorithms for type (e.g., day), duration, intensity, rotational direction, and social aspects (e.g., weekend work) in a nationwide cohort of American manufacturing workers (N = 23,044) between 2003 and 2014. Distributions of working hour characteristics were examined by schedules (e.g., permanent day, day/night) and demographics, and were cross-classified in a matrix to examine co-occurrence. Approximately 55% of shifts may cause circadian rhythm disruption as they were non-day shifts or day shifts with a quick return or rotation, or were 13 h or longer. Older workers, female workers, and White workers worked permanent day shifts most often, while workers of color worked more day/night schedules. Night and evening shifts had more frequent shift rotations, quick returns, and longer hours than day shifts. Yet, day shifts, which are presumed to have little negative circadian impact, may cause circadian rhythm disruption as long hours, quick returns and rotations also occurred within day shifts.