Clustering-Based Accelerometer Measures of Physical Activity Patterns in Children With Overweight or Obesity: Baseline Cross-Sectional Methodological Analysis.

Hyatt Moore Iv^1,2, Thomas N Robinson^3,4, Alexandria Jensen², Fatma Gunturkun², K Farish Haydel³, Kristopher I Kapphahn², Manisha Desai²

¹Naval Postgraduate School, 1 University Circle, Monterey, CA, 93943, United States.

²Quantitative Science Unit, Stanford University, Stanford, CA, United States.

³Department of Pediatrics, Stanford Solutions Science Lab and Division of General Pediatrics, Stanford University, Palo Alto, CA, United States.

⁴Department of Medicine, Stanford Prevention Research Center, Stanford University, Palo Alto, CA, United States.

PubMed DOI

Abstract

BACKGROUND: Accelerometers produce high-resolution physical activity data, but commonly used summary measures often reduce these data to total volume, intensity, or variability and may not retain interpretable temporal structure across the day. Cluster-based summaries may provide a way to characterize daily physical activity profiles while preserving information about when activity occurs. OBJECT…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.