… , PA or sedentary behavior, use of electronic devices, screen time, sleep, and metabolic
status in recruited children are clustered into three differential groups. Sedentary patterns were …

… Scores for the factors retained were then selected for cluster analysis. Agglomerative
hierarchical cluster analysis (Ward method) 18 was used to obtain the initial cluster grouping …

… sedentary behaviors in sixth-grade girls using cluster analysis, (2) to determine which clusters
… (3) to examine whether girls in these clusters experienced any change in physical activity …

… Cluster analyses were used to identify patterns of lifestyle and healthy/unhealthy behaviors.
… analysis was used to estimate associations between cluster allocation, sedentary time and …

… MCA and cluster analysis to a detailed data set on leisure physical activity and sedentary …
We identified four LTPA-sedentary behavior clusters in men and three in women. The most …

… Cluster analysis revealed four clusters in both gender groups … high sedentary time), a healthy
pattern (high MVPA/low sedentary time), a low mixed pattern (low MVPA/low sedentary time…

… amount of time spend being sedentary as much as possible4-6. … display a greater tendency
to be sedentary, as do low-income … Clustering of sedentary behaviours and physical activity …

… A 2-step hierarchical cluster analysis identified the optimal number of clusters and the …
analyses assessed significant cluster differences. Results: High levels of sitting clustered with low …

… cluster analysis using Ward's method; based on squared Euclidean distances. Second, we
used the k-means cluster analysis to get the final cluster … , we used cluster analysis because it …

… This was a secondary analysis of original accelerometry data from adults with stroke living
… -driven clustering analyses to identify unique accumulation patterns of sedentary time across …