The association between sensor-based assessments of daily physical activity patterns and physical fitness in older adults: a systematic review and meta-analysis
Abstract
This study aimed to investigate the association between sensor-based assessment of daily physical activity patterns and physical fitness among older adults by meta-analyses of relevant studies. A systematic search was conducted across six databases (PubMed, CINAHL by EBSCOhost, Web of Science, PsycInfo by ProQuest, Embase, and Scopus) from inception until January 18, 2025. Manual searches of reference lists and Google Scholar were also performed, utilizing predefined keywords to identify observational studies with bivariate association analyses. Joanna Briggs Institute Critical Appraisal Checklist for Cross-Sectional Studies was employed to assess study quality. The association analyses were further categorized based on the characteristics of daily activity (sedentary, light, moderate-to-vigorous) and physical fitness (e.g., grip strength, knee muscle strength, leg power, walking endurance, mobility function, and gait speed). Thirteen cross-sectional studies were included in the meta-analyses. On average, older adults spent 78% of their day sedentary, 15% in light-intensity activity, and 7% in moderate-to-vigorous activity. Sedentary behavior was linked to lower physical fitness (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$r=-0.10$$\end{document} to \documentclass[12pt]{minimal}…
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Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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