Is sleep timing related to objectively measured physical activity and sedentary behavior in older women?

  • Wan Chi Huang
  • , Chia Shuan Chang
  • , Chien Yu Lin
  • , Ting Fu Lai
  • , Ming Chun Hsueh
  • , Yung Liao
  • , Jong Hwan Park*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: 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.

Original languageEnglish
Pages (from-to)1377-1381
Number of pages5
JournalNature and Science of Sleep
Volume13
DOIs
Publication statusPublished - 2021

Keywords

  • Aging population
  • Circadian clock
  • Modifiable behavior
  • Sleep timing

ASJC Scopus subject areas

  • Applied Psychology
  • Behavioral Neuroscience

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