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. 2023 Aug 12;23:1535. doi: 10.1186/s12889-023-16461-6

Table 2.

Prevalence ratio of overweight/obesity and central obesity by cluster

Model 1* Model 2*
Overweight/obesity (n=1182) Central obesity (n=1183) Overweight/obesity (n=1132) Central obesity (n=1133)
Cluster 1 1.26 (1.10, 1.45) 1.27 (0.81, 1.98) 1.12 (1.11, 1.13) 1.16 (0.92, 1.45)
Cluster 2 1.15 (1.03, 1.28) 0.88 (0.81, 0.95) 1.07 (1.02, 1.12) 0.73 (0.69, 0.76)
Cluster 3 1.35 (1.27, 1.42) 1.47 (1.45, 1.50) 1.31 (1.31, 1.31) 1.40 (1.33, 1.47)
Cluster 4 [Reference] [Reference] [Reference] [Reference]

Cluster 1-higher screen time and poorer diet; Cluster 2-lower activity and longer sleepers; Cluster 3-active and shorter sleepers; and Cluster 4-healthiest. Overweight and obesity defined as age- and sex-adjusted body mass index percentiles were 85th-95th and > 95th, respectively, according to the Centers for Disease Control (CDC) standards. Central obesity was defined by 90th percentile according to the Third National Health and Nutrition Examination Survey (NHANES III)

* Prevalence ratio from generalized models using a Poisson distribution with a log link and robust error variance. Model 1: Region and school were handled as random effects to account for the clustered study design. Model 2 was additionally adjusted for fasting status, maturation stage, migrant background, and parental education level were included as fixed-effect variables. Significant differences (p < 0.05) are presented in bold