Diurnal Patterns and Correlates of Older Adults' Sedentary Behavior

PLoS One. 2015 Aug 5;10(8):e0133175. doi: 10.1371/journal.pone.0133175. eCollection 2015.

Abstract

Introduction: Insights into the diurnal patterns of sedentary behavior and the identification of subgroups that are at increased risk for engaging in high levels of sedentary behavior are needed to inform potential interventions for reducing older adults' sedentary time. Therefore, we examined the diurnal patterns and sociodemographic correlates of older adults' sedentary behavior(s).

Methods: Stratified cluster sampling was used to recruit 508 non-institutionalized Belgian older adults (≥ 65 years). Morning, afternoon, evening and total sedentary time was assessed objectively using accelerometers. Specific sedentary behaviors, total sitting time and sociodemographic attributes were assessed using an interviewer-administered questionnaire.

Results: Participants self-reported a median of 475 (Q1-Q3 = 383-599) minutes/day of total sitting time and they accumulated a mean of 580 ± 98 minutes/day of accelerometer-derived sedentary time. Sedentary time was lowest during the morning and highest during the evening. Older participants were as sedentary as younger participants during the evening, but they were more sedentary during daytime. Compared to married participants, widowers were more sedentary during daytime. Younger participants (< 75 years), men and the higher educated were more likely to engage in (high levels of) sitting while driving a car and using the computer. Those with tertiary education viewed 29% and 22% minutes/day less television compared to those with primary or secondary education, respectively. Older participants accumulated 35 sedentary minutes/day more than did younger participants and men accumulated 32 sedentary minutes/day more than did women.

Conclusion: These findings highlight diurnal variations and potential opportunities to tailor approaches to reducing sedentary time for subgroups of the older adult population.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accelerometry / methods*
  • Accelerometry / statistics & numerical data
  • Aged
  • Aged, 80 and over
  • Circadian Rhythm*
  • Educational Status
  • Female
  • Geriatric Assessment / methods
  • Geriatric Assessment / statistics & numerical data
  • Humans
  • Logistic Models
  • Male
  • Sedentary Behavior*
  • Socioeconomic Factors
  • Surveys and Questionnaires*
  • Time Factors

Grants and funding

This study was supported by Research Foundation Flanders (FWO) (www.fwo.be, 11N0313N and 11O3115N): JVC and VVH, National Health and Medical Research Council of Australia Program Grant (#569940), a Senior Principal Research Fellowship (#1003960) and by the Victorian Government’s Operational Infrastructure Support program: NO. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.