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Dataset Information

Accelerometry analysis options produce large differences in lifestyle physical activity measurement.


ABSTRACT: Objective measurement of physical activity (PA) using accelerometers has become increasingly popular across recreational and clinical applications. However, the effects of multiple processing algorithms, filters, and corrections on PA measurement variability may be underappreciated.

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 (I

SUBMITTER: Mueller M 

PROVIDER: S-EPMC8182644 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature