UK Biobank (54,995 participants) and Whitehall II (3,991 participants).
Data reduction of CR metrics via principal component analysis, followed by k-means clustering.
Two clusters focusing on robust RAR with opposite sleep profiles (longer/efficient vs. shorter/fragmented).
Measures quantity and quality during the sleep period. Chronotype: Measures the timing of wakefulness and sleep. Key Findings and Identified Clusters
The analysis identified nine distinct clusters among the 54,995 participants, including:
The research involved analyzing 7-day, 24-hour accelerometer data to understand behavioural patterns. The study developed nine unique based on four main dimensions:
Timing of the most active 10 hours. Cosinor Acrotime: Time of peak activity.
Multiple metrics can be derived from 24 h accelerometer data to reflect four key behavioural dimensions of circadian rhythm—'rest-
UK Biobank (54,995 participants) and Whitehall II (3,991 participants).
Data reduction of CR metrics via principal component analysis, followed by k-means clustering.
Two clusters focusing on robust RAR with opposite sleep profiles (longer/efficient vs. shorter/fragmented). 54995.rar
Measures quantity and quality during the sleep period. Chronotype: Measures the timing of wakefulness and sleep. Key Findings and Identified Clusters
The analysis identified nine distinct clusters among the 54,995 participants, including: UK Biobank (54,995 participants) and Whitehall II (3,991
The research involved analyzing 7-day, 24-hour accelerometer data to understand behavioural patterns. The study developed nine unique based on four main dimensions:
Timing of the most active 10 hours. Cosinor Acrotime: Time of peak activity. shorter/fragmented)
Multiple metrics can be derived from 24 h accelerometer data to reflect four key behavioural dimensions of circadian rhythm—'rest-