Skip to content
#software testing Open access

Towards harmonised accelerometer-derived physical activity: a comparability study across wrist, thigh, and hip wear locations

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.

Read PDF

Similar papers

Review Open access Aug 2026

Advancement in wrist worn physical activity trackers: technological developments and measurement accuracy: a systematic review

Accuracy improved substantially over time, although variability across brands, activities, and populations persisted; Acceptability was generally high across brands, with long wearing time and good participant satisfaction.

T. Hogue, Alexia Khoury, Pressila Njeim et al. · 0 citations
Review Open access Sep 2026

Accelerometer-Measured Physical Activity Percentiles Across Age in Adults With Knee Osteoarthritis.

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. · 0 citations
Aug 2026

More Than Just Arm Movement: Finger-Worn Accelerometers Provide a Valid and Sensitive Alternative to Wrist-Worn Accelerometers for Measuring Real-World Upper-Limb Performance in Stroke Survivors

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. · 0 citations
Sep 2026

Comparing Accelerometer-Measured and Self-Reported Physical Activity Among Adults in Semi-Urban Nepal: Findings From a Community-Based Household Study.

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. · 0 citations
Open access Sep 2026

Wearable Inertial Sensor-Based Detection of Exercise-Induced Mobility Adaptations in Older Women: A Randomized Controlled Trial

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-Sagardía et al. · 0 citations

Related blog posts

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

MIT News · Artificial Intelligence Oct 2, 2026

Documenting the tech worker movement

Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.

MIT News · Artificial Intelligence Oct 2, 2026

Documenting the tech worker movement

Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.