Accelerometer-Based Step Counts May Be Confounded by Repetitive Motor Behaviors in Adults With Autism Spectrum Disorder
Year: 2026
Type: article
Abstract: UNSTRUCTURED Consumer-grade wearable devices are increasingly utilized in remote clinical trials to track physical activity, yet their underlying algorithms are typically calibrated for neurotypical gait patterns. In their recent protocol, Nunez-Gaunaurd et al. integrate Fitbit Inspire 3 step-monitoring data to evaluate the construct validity of patient-reported physical function scores among adults with Autism Spectrum Disorder (ASD). While this telehealth approach significantly enhances study accessibility, we highlight a critical measurement vulnerability: repetitive motor behaviours characteristic of ASD such as hand-flapping, body rocking, and pacing that generate rhythmic limb accelerations that standard step-counting algorithms may misclassify as ambulatory steps. Because daily step metrics serve as a criterion indicator for validating clinical outcomes, unaddressed movement artifacts risk biasing validity findings. To ensure methodological rigor, we recommend incorporating video-coded validation subsamples to isolate and verify true ambulatory steps against stereotypical movements in neurodivergent cohorts.b
Source: JMIR Research Protocols
DOI: 10.2196/110988
Authors: Muhammad Anas Malik, Tayeba Fatima
Institution: Avicenna Medical College
Language: English
Topic: Physical Activity and Health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,900
OpenAlex ID: W7221123628
