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Dataset Information

Association between accelerometry measured patterns of sedentary behaviors and functional status in older adults.


ABSTRACT:

Background

Older adults are highly sedentary, and too much sedentary behavior (SB) is associated with negative health effects, but little is known about SB patterns and their associations with functional status.

Aims

To examine the association between objectively measured sedentary behavior time (SBT) and sedentary behavior fragmentation (SBF) and functional status in older adults using the National Health Aging Trends Study (NHATS) dataset, a nationally representative sample from 2021.

Methods

Data from NHATS were analyzed using weighted linear regressions to examine the association between objective measures of SBT (mean hours spent in SB/day during waking hours) and SBF, and six functional variables (difficulties with activities of daily living [ADL], short physica

SUBMITTER: Son JY 

PROVIDER: S-EPMC10822805 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature