Sep 2026· International Journal of Behavioral Nutrition and Physical Activity· 0 citations
Physical Activity and Health
TL;DR
Accelerometer-derived measures from wrist, thigh, and hip locations are strongly correlated and provide evidence to support pooled meta-analyses across wear locations and the development of location-agnostic processing software.
Abstract
Wearable devices are widely used in epidemiological studies, but differences in wear locations make data harmonisation and pooled meta-analyses challenging. We aimed to (i) assess the comparability of measures of physical activity and sedentary behaviour derived from wrist, thigh, and hip accelerometers in adults during free-living conditions, and (ii) derive and validate calibration equations to enable harmonisation across wear locations.
We analysed accelerometer data from UK adults from the SMART Work and Life (SWAL) study (concurrent wrist- and thigh-worn devices), Australian adults from the Raine Study Generation 1 26-year follow-up (concurrent wrist- and hip-worn devices), and an independent sample of UK adults wearing devices at all three locations. From each wear location, we derived overall activity (mean acceleration), step count, peak 1-minute cadence, moderate-to-vigorous physical activity, light physical activity, and sedentary behaviour. Cross-location comparability was assessed using correlation coefficients, intraclass correlation coefficients (ICCs), Bland-Altman analyses, and equivalence testing. Calibration equations between wear locations were derived using standardised major axis regression and were externally validated in the independent sample.
Analyses included valid data from 658 SWAL participants (mean age 44.8 years; 72% women) and 901 Raine Study participants (mean age 56.7 years; 57% women). Cross-location correlations were strong, ranging from 0.66 to 0.89 between the wrist and thigh, and from 0.66 to 0.90 between the wrist and hip, with approximately linear relationships across the observed range of values. Absolute agreement was generally higher for wrist-thigh comparisons (ICCs 0.49–0.89) than for wrist-hip comparisons (ICCs 0.35–0.75), with larger systematic biases in the latter. In external validation in 42 UK adults (mean age 38.4 years; 64% women), calibrated thigh- and hip-derived estimates showed moderate-to-good agreement with wrist-derived estimates (ICCs 0.53–0.97 for wrist-thigh and 0.55–0.88 for wrist-hip comparisons), though confidence intervals for some measures extended into the poor agreement range.
Accelerometer-derived measures from wrist, thigh, and hip locations are strongly correlated. These findings provide evidence to support pooled meta-analyses across wear locations and the development of location-agnostic processing software.
Background Wrist-worn physical activity trackers have advanced rapidly over the past two decades, evolving from simple accelerometer-based devices to multi-sensor systems integrating photoplethysmography, advanced movement classification, and machine-learning algorithms. Despite widespread use in both research and clin...
T. Hogue, Alexia Khoury, Pressila Njeim et al.· Frontiers in Digital Health· 0 citations
OBJECTIVE
To describe age-related percentile distributions of accelerometer-measured physical activity in adults with knee osteoarthritis (OA) and to examine differences according to sex, pain, income, and body mass index (BMI).
DESIGN
Cross-sectional secondary analysis.
SETTING
Secondary analysis of data from the...
José Luis Ceballos-Sánchez, Manuel Reguera Rodríguez, R. M. Alfonso-Rosa et al.· Archives of Physical Medicin...· 0 citations
Objective: To investigate the clinical validity of finger-worn accelerometers for providing a comprehensive assessment of upper-limb motor performance in stroke survivors in real-world environments, compared to wrist-worn accelerometers, and to examine how the clinimetric properties of wearable-based motor performance...
Ramita Dhamrongsirivadh, B. Pugliese, V. Civeriati et al.· medRxiv· 0 citations
BACKGROUND
Accurate physical activity data are essential for public health planning. In low- and middle-income countries, self-reported questionnaires often overestimate activity. This study compared physical activity estimates from a self-reported questionnaire with wrist-worn accelerometer data among adults in Nepal....
R. Shrestha, S. Paudel, A. Rijal et al.· Journal of Physical Activity...· 0 citations
Wearable inertial sensors have become tools for objectively assessing mobility in older people. This study analyzed whether wearable inertial sensors could detect exercise-induced mobility changes and compared the effects of multicomponent training (MCT) and elastic band training (EBT) on mobility and physical function...
Mauricio Barramuño-Medina, Pablo Valdés-Badilla, Pablo Aravena-Sagardia et al.· Biosensors· 0 citations
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