1. Association of domain‐specific physical activity and sedentary behavior with cardiometabolic health among office workers
- Author
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Naruki Kitano, Yuko Kai, Takashi Jindo, Yuya Fujii, Kenji Tsunoda, and Takashi Arao
- Subjects
Cross-Sectional Studies ,Cardiovascular Diseases ,Accelerometry ,Humans ,Blood Pressure ,Physical Therapy, Sports Therapy and Rehabilitation ,Orthopedics and Sports Medicine ,Sedentary Behavior ,Exercise - Abstract
Previous studies have reported opposite effects of occupational or non-occupational physical activity (PA) and sedentary behavior (SB) on health outcomes. However, no study has investigated the relationship between domain-specific movement behaviors and cardiometabolic health (CMH) among office workers, considering the compositional nature of time-use data. We investigated the associations of accelerometer-measured PA and SB for each domain (working time, non-working time on workday, and non-workday) with CMH indicators among office workers, using compositional data analysis.This cross-sectional study included 1258 Japanese office workers. The time spent on SB, light-intensity PA (LPA), and moderate- to vigorous-intensity PA (MVPA) were assessed using an accelerometer. CMH indicators were retrieved from the annual health check-up data.Compositional multiple linear regression indicated that PA and SB during non-working time on workdays, but not working time or non-workdays, were significantly associated with CMH. In particular, during non-working time, time reallocations from SB to LPA and from SB to MVPA were associated with favorable changes in cardiometabolic risk score and lipid metabolism, respectively. Paradoxically, a greater proportion of LPA during non-working time was associated with favorable diastolic blood pressure (β = 1.61; 95% confidence interval [CI] = 0.02, 3.19), whereas occupational LPA was detrimental (β = -2.48; 95% CI = -4.87, -0.09).Our results suggested that reducing SB and increasing PA during non-working time on workdays may be effective for managing CMH among office workers. Future longitudinal studies using compositional data analysis are required to confirm our results.
- Published
- 2022
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