Ontology highlight
ABSTRACT: Objective
To examine how lifestyle PA estimates are impacted by multiple available scoring methods.Approach
Wrist-worn accelerometers (ActiGraph GT3X+) were worn by 132 adults (87 F) having various activity levels for one week. Lifestyle PA was assessed across four PA domains: daily energy expenditure (EE); active EE; moderate-to-vigorous PA (MVPA); and steps using 1-5 algorithms per domain, with/without wrist correction and low-frequency-extension (LFE). Estimates were compared to self-report (International Physical Activity Questionnaire).Main results
PA estimates differed between algorithms with variable but frequently large effect sizes (d = 0.08-1.88). The wrist correction reduced PA estimates across all domains (p < 0.05, d = 0.26-3.04) except step counts and one daily EE algorithm (d = 0.0). Conversely, the LFE increased step counts (d = 1.44, p < 0.05) but minimally affected all other outcomes (d = 0.08-0.20, p < 0.05). Correlations between objective and self-reported PA were small to moderate (ρ = 0.22-0.45) and decreased with the wrist correction.Significance
Measurement of PA using accelerometry is highly dependent on algorithm and filter selection; previously validated methods are therefore not interchangeable. Users should take caution when interpreting absolute PA estimates, and reporting standards should require detailed methodology disclosure to optimize comparisons across studies.
SUBMITTER: Mueller M
PROVIDER: S-EPMC8182644 | biostudies-literature |
REPOSITORIES: biostudies-literature