Device-measured sedentary behavior in oldest old adults: A systematic review and meta-analysis

Katelyn E. Webster, Weijiao Zhou, Nancy A. Gallagher, Ellen M.Lavoie Smith, Neha P. Gothe, Robert Ploutz-Snyder, Natalie Colabianchi, Janet L. Larson

Research output: Contribution to journalReview articlepeer-review

Abstract

Sedentary behavior contributes to health decline and frailty in older adults, especially the oldest old. The purpose of this systematic review was to synthesize evidence describing the volume of device-measured sedentary behavior and factors that influence sedentary behavior in community-dwelling adults aged 80 and older. Four electronic databases were searched in August 2018; the search was updated in September 2019 and December 2020. Twenty-one articles representing 16 unique datasets from six countries met inclusion criteria. Various devices and data processing methods were used to measure sedentary behavior; the most common device was the ActiGraph accelerometer. Sedentary time during the waking day ranged from 7.6 to 13.4 h/day. Studies using similar measurement methods (hip-worn ActiGraph with uniaxial cut-point <100 counts per minute) had a weighted mean of 10.6 h/day. Subgroup analyses revealed that male gender and age ≥85 may contribute to increased sedentary behavior. Only seven individual articles examined factors that influence sedentary behavior in the 80 and older age group; older age, male gender, non-Hispanic white race/ethnicity, social disadvantage, and declining cognitive function (in men) were associated with increased sedentary behavior. In conclusion, the oldest old are highly sedentary and little is known about factors that influence their sedentary behavior.

Original languageEnglish (US)
Article number101405
JournalPreventive Medicine Reports
Volume23
DOIs
StatePublished - Sep 2021

Keywords

  • Accelerometry
  • Older adults
  • Physical activity
  • Sitting
  • activPAL

ASJC Scopus subject areas

  • Health Informatics
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Device-measured sedentary behavior in oldest old adults: A systematic review and meta-analysis'. Together they form a unique fingerprint.

Cite this