Is Sleep Timing Related to Objectively Measured Physical Activity and Sedentary Behavior in Older Women?

Abstract

Wan-Chi Huang,1 Chia-Shuan Chang,2 Chien-Yu Lin,3 Ting-Fu Lai,1 Ming-Chun Hsueh,4 Yung Liao,1,5 Jong-Hwan Park6 1Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, 106, Taiwan; 2Institute of Health Behaviors and Community Sciences, National Taiwan University, Taipei, 100, Taiwan; 3Graduate School of Sport Sciences, Waseda University, Tokorozawa City, Saitama Prefecture, 359-1192, Japan; 4Graduate Institute of Sport Pedagogy, University of Taipei, Taipei City, 11153, Taiwan; 5Faculty of Sport Sciences, Waseda University, Tokorozawa City, Saitama, 359-1192, Japan; 6Health Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, KoreaCorrespondence: Jong-Hwan ParkHealth Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, KoreaTel/Fax [phone]Email [email protected]: Sleep, sedentary behavior, and physical activity are the components of the 24-hour model, while the timing of sleep may play a critical role to impact waking behaviors. Therefore, the present study aimed to examine the relationship of sleep timing with sedentary behavior, light-intensity, moderate-to-vigorous-intensity physical activity, and daily steps in older women.Patients and Methods: A total of 90 community-dwelling older women (70.5 ± 5.4 years) were included in our sample. Multiple linear regression models were used to estimate the associations of accelerometer-measured sedentary behavior and physical activity metrics with the three sleep timing indicators (bedtime and wake time, and mid-sleep time). Bedtime and wake time were recorded by the participants, and mid-sleep time was estimated based on the two sleep indicators.Results: Most indicators of sleep timing were negatively associated with moderate-to-vigorous-intensity physical activity (unstandardized coefficient [B]− 0.07 for bedtime and mid-sleep time, p< 0.05) and daily steps (B ranged from − 15.51 for bedtime to − 13.73 for wake time, p< 0.05). No associations of sleep timing were found in sedentary behavior and light-intensity physical activity.Conclusion: The findings suggest that sleep timing should be considered when designing promising strategies or interventions for older women to be physically active.Keywords: sleep timing, circadian clock, modifiable behavior, aging population

Keywords

• sleep timing
• circadian clock
• modifiable behavior
• aging population