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The analysis identified nine distinct clusters among the 54,995 participants, including:

Data reduction of CR metrics via principal component analysis, followed by k-means clustering.

One cluster characterized by high-intensity physical activity. 54995.rar

Here is a detailed breakdown of the features and findings from this study: Core Study Feature: Circadian Rhythm Profiling

Covers physical activity (PA) and sedentary behaviour (SB). The analysis identified nine distinct clusters among the

The research involved analyzing 7-day, 24-hour accelerometer data to understand behavioural patterns. The study developed nine unique based on four main dimensions:

Based on the search results, "54,995" refers to the sample size of participants from the UK Biobank cohort study analyzed in a 2026 study regarding accelerometer-derived circadian rhythm profiles. The research involved analyzing 7-day

Measures the stability and fragmentation of rest-activity cycles, using metrics such as interdaily stability (IS) and intradaily variability (IV).