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ABSTRACT: Background/objectives
Accelerometry measures older adult (in)activity with high resolution. Most studies summarize activity over the entire wear time. We extend prior work by analyzing hourly activity data to determine how frailty and other characteristics relate to activity among older adults.Methods
Using wrist accelerometry data collected from the National Social Life, Health and Aging Project (n = 651), a nationally-representative probability sample of older adults, we used mixed effects linear regression to model the logarithm of hourly counts per minute as a function of an adapted phenotypic frailty score, adjusting for demographic and health characteristics, season, day of week and time of day.Results
Higher frailty scores were associated with modestly lower
SUBMITTER: Huisingh-Scheetz M
PROVIDER: S-EPMC5905616 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature