Table 1.
Participants’ demographic characteristics [mean (95% confident intervals)].
Fig 1.
Associations between body mass index, waist circumference, and waist-to-height ratio z-scores with age adjusted clustering of risk factor composite z-score for boys (n = 2064) and girls (n = 2191).
Fig 2.
Association between body mass index, waist circumference, and waist-to-height z-scores with age adjusted risk factor measures for boys (n = 2064) and girls (n = 2191).
NS: non-significant.
Table 2.
Standardized Coefficients [β (95% confident interval)] for the association between body mass index, waist circumference, and waist-to-height ratio with cardiometabolic variables by sex and body mass index categories a.
Table 3.
Correlation Coefficients for the association between body mass index, waist circumference, and waist-to-height ratio with composite z-score by sex, body mass index categories and by studya.
Table 4.
Standardized Coefficients [β (95% confident interval)] for the association between body mass index, waist circumference, and waist-to-height ratio with composite z-score by sex and composite z-score percentiles
Fig 3.
Odds-ratio for increased cardiometabolic composite z-score (>1SD) according to body mass index and waist-to-height ratio for boys (n = 2064) and girls (n = 2191).
*WHtR categories were defined to categorize the same proportion of children/adolescents as the BMI categories [overweight, boys (P69): 0.45; girls (P72): 0.46; Obese, boys (P87): 0.50, girls (P91): 0.52].
Table 5.
Logistic regression model and respective discriminative capability for the physical independence predictors by age category and sex
Table 6.
Sex and agea-specific optimal criterion for body mass index, waist circumference, and waist-to-height ratio derived from logistic regression equations.