Analysing physical activity measures and clustering in patients with type 2 diabetes in secondary care: insights from the DIAbetes and LifEstyle Cohort Twente (DIALECT)—an observational cohort study
Niala den Braber, Miriam M Vollenbroek-Hutten, Kilian D R Kappert, Gozewijn D Laverman · 2024
Read Analysing physical activity measures and clustering in patients with type 2 diabetes in secondary care: insights from the DIAbetes and LifEstyle Cohort Twente (DIALECT)—an observational cohort study by Niala den Braber, Miriam M Vollenbroek-Hutten, Kilian D R Kappert, Gozewijn D Laverman (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11624807.txt.
Description
Niala den Braber and colleagues published a 2024 observational study of physical activity in people with type two diabetes receiving specialist care in the Netherlands. Participants wore motion sensors, which produced dozens of different activity measures for each person. The researchers wanted to know which measures matter most and whether patients fall into natural activity groups.
Using statistical methods that compress many measures into a few main patterns, the team sorted roughly two hundred fifty patients into clusters. Daily step counts stood out among the measures that best separated the groups. Grouping patients this way could help clinics tailor activity advice instead of giving everyone the same generic guidance.
Catalog record
| CREATOR | Niala den Braber, Miriam M Vollenbroek-Hutten, Kilian D R Kappert, Gozewijn D Laverman |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |