Sentence examples for sedentary cluster from inspiring English sources

No significantly enriched GO terms were identified in the sedentary cluster (super cluster 9) using false discovery rate (FDR 0.05).

In the Sedentary cluster, physical inactivity was high (54%) and overweight and smoking at a low level (7% and 24%) at 16 years.

The "migratory and sedentary" super cluster contained only 40 transcripts, 14 of which had associated GO terms.

Very little is known about how risk behaviors, such as low levels of physical activity or high levels of sedentary behavior, cluster together [ 21].

In addition, Gubbels et al. [ 37] found the highest incidence of obesity in their "sedentary-snacking" cluster, which highlights the role of sedentary behavior/media use in terms of weight gain.

Whilst Jago et al. [ 4] also found no difference in BMI between their groups which differed markedly in both physical activity and sedentary behaviours, other cluster research suggests a more consistent pattern of higher SBM activity with higher levels of overweight [ 25].

Interestingly, the sedentary-specific super cluster 9 is the least well described with just 18% of transcripts with BLAST2GO hits.

Our findings extend previous cross-sectional findings in other adult populations of the independent associations between sedentary time and clustered cardiometabolic risk [ 35] and triacylglycerol levels [ 6].

The main difference between these two clusters and the low sedentary and low physical exercise cluster is the time spent on TV viewing and PC use.

Cluster 5 "sedentary non-smokers" was the largest group.

Table  4 presents the descriptive statistics of the sedentary behaviours used in the cluster analysis for each cluster in the units of hours per week, and the highly significant differences reflect the cluster solution derived from the ordinal transformation of the data, as expected.