Accelerometer-Measured Diurnal Patterns of Sedentary Behavior among Japanese Workers: A Descriptive Epidemiological Study

Sayaka Kurosawa, Ai Shibata, Kaori Ishii, Mohammad Javad Koohsari and Koichiro Oka
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Sayaka Kurosawa: Graduate School of Sport Sciences, Waseda University, Saitama 359-1192, Japan
Ai Shibata: Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki 305-8574, Japan
Kaori Ishii: Faculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan
Mohammad Javad Koohsari: Faculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan
Koichiro Oka: Faculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan

IJERPH, 2020, vol. 17, issue 11, 1-13

Abstract: Increased sedentary behavior (SB) can adversely affect health. Understanding time-dependent patterns of SB and its correlates can inform targeted approaches for prevention. This study examined diurnal patterns of SB and its sociodemographic associations among Japanese workers. The proportion of sedentary time (% of wear time) and the number of breaks in SB (times/sedentary hour) of 405 workers (aged 40–64 years) were assessed using an accelerometer. SB patterns and sociodemographic associations between each time period (morning, afternoon, evening) on workdays and nonworkdays were examined in a series of multivariate regression analyses, adjusting for other sociodemographic associations. On both workdays and nonworkdays, the proportion of sedentary time was lowest in the morning and increased towards evening ( b = 12.95, 95% CI: 11.28 to 14.62; b = 14.31, 95% CI: 12.73 to 15.88), with opposite trend for breaks. Being male was consistently correlated with SB. Other sociodemographic correlates differed depending on time-of-day and day-of-the-week. For instance, desk-based workstyles and urban residential area were associated with SB during workday mornings and afternoons, being single was related to mornings and evenings, workdays and nonworkdays. Initiatives to address SB should focus not only on work-related but time-of-day contexts, especially for at-risk subgroups during each period.

Keywords: accelerometer; sitting time; sociodemographic correlates; daily patterns (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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