ArticleScientific reports2019
Comparability of accelerometer signal aggregation metrics across placements and dominant wrist cut points for the assessment of physical activity in adults.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.
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Who cites it
44 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Physical activity measurements in individuals with interstitial lung disease: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2023Pooled it
- Advances in accelerometry for cardiovascular patients: a systematic review with practical recommendations.ESC heart failure · 2020Pooled it
- Efficacy and target engagement of dopamine agonist pramipexole for anhedonic depression: a randomized placebo-controlled trial.Nature medicine · 2026Trial
- Effect of a Smartphone Application on Physical Activity and Weight Loss After Bariatric Surgery-Results from a Randomized Controlled Trial.Obesity surgery · 2023Trial
- Optimizing accelerometer implementation in a gerotherapeutic trial: Feasibility, adherence, and operational insights of ABLE.PLOS digital health · 2026Article
- A Head-to-Head Comparison of Three Literature Algorithms for Physical Activity Endpoints from a Wrist Accelerometer in Free-Living Conditions.Sensors (Basel, Switzerland) · 2026Article
- Exploring the associations between physical activity, sleep, sedentary behaviour, and mental health in young German children.Journal of activity, sedentary and sleep behaviors · 2026Article
- Body placement of inertial measurement units differentially affects physical activity assessment accuracy in drug-naïve Parkinson's disease.Scientific reports · 2026Article
- Impact of Abdominal and Thigh Intermuscular Adipose Tissue on Glucose and Cardiometabolic Risk in Adults With Obesity.The Journal of clinical endocrinology and metabolism · 2025Article
- Impact of accelerometer epoch summary measure on associations between physical activity and all-cause mortality in Whitehall II and UK Biobank.Scientific reports · 2025Article
- Comparison of ActiGraph CentrePoint Insight Watch Placement on Dominant and Nondominant Wrists in Young Adults in Free-Living Conditions: Observational Validation Study.JMIR mHealth and uHealth · 2025Observational
- Diurnal timing of physical activity in relation to obesity and diabetes in the German National Cohort (NAKO).International journal of obesity (2005) · 2025Observational
- Article
- Comparability of accelerometry outcomes across popular metrics and widespread sensor positions.PloS one · 2025Article
- Classifying physical activity levels using Mean Amplitude Deviation in adults using a chest worn accelerometer: validation of the Vivalink ECG Patch.BMC sports science, medicine & rehabilitation · 2024Article
- Using Computer Vision to Annotate Video-Recoded Direct Observation of Physical Behavior.Sensors (Basel, Switzerland) · 2024Article
- Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO).Scientific reports · 2024Article
- General spectral characteristics of human activity and its inherent scale-free fluctuations.Scientific reports · 2024Article
- Article
- Wrist-worn accelerometers: Influence of decisions during data collection and processing: A cross-sectional study.Health science reports · 2024Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Large epidemiological studies that use accelerometers for physical behavior and sleep assessment differ in the location of the accelerometer attachment and the signal aggregation metric chosen. This study aimed to assess the comparability of acceleration metrics between commonly-used body-attachment locations for 24 hours, waking and sleeping hours, and to test comparability of PA cut points between dominant and non-dominant wrist. Forty-five young adults (23 women, 18-41 years) were included and GT3X + accelerometers (ActiGraph, Pensacola, FL, USA) were placed on their right hip, dominant, and non-dominant wrist for 7 days. We derived Euclidean Norm Minus One g (ENMO), Low-pass filtered ENMO (LFENMO), Mean Amplitude Deviation (MAD) and ActiGraph activity counts over 5-second epochs from the raw accelerations. Metric values were compared using a correlation analysis, and by plotting the differences by time of the day. Cut points for the dominant wrist were derived using Lin's concordance correlation coefficient optimization in a grid of possible thresholds, using the non-dominant wrist estimates as reference. They were cross-validated in a separate sample (N = 36, 10 women, 22-30 years). Shared variances between pairs of acceleration metrics varied across sites and metric pairs (range in r
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