Ontology highlight
ABSTRACT: Aims
To identify principal components of free-living patterns of sedentary behaviour in office employees with type 2 diabetes (T2D) compared to normal glucose metabolism (NGM) office employees, using principal component analysis (PCA).Methods
213 office employees (n = 81 with T2D; n = 132 with NGM) wore an activPAL inclinometer 24 h a day for 7 consecutive days. Comparions of sedentary behaviour patterns between adults with T2D and NGM determined the dimensions that best characterise the sedentary behaviour patterns of office employees with T2D at work, outside work and at weekends.Results
The multivariate PCA technique identified two components that explained 60% of the variability present in the data of sedentary behaviour patterns in the population
SUBMITTER: Colomer FA
PROVIDER: S-EPMC9566776 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature