Among the Dutch sample, boys scored significantly higher on these items also [ 20].
In our sample, boys had a significantly larger FFM and a smaller FM than girls.
The likelihood ratio test for all 3 splines (overall sample, boys only, and girls only) had p < 0.01, indicating goodness of fit for all three models.
In our sample, boys increasing MVPA category gained more BMI and FFM compared to their peers with a persistently low MVPA.
Of those who reported to have a girlfriend/boyfriend (i.e., 233/40% of the total sample; boys: 99/37.6%; girls: 134/42%), 80 or 34.3% talked about their HIV status within this relationship (boys: 30/30.3%; girls: 50/37.3%).
Within the total sample, boys in the high-risk group (mean age, 14.97 years; SE, 0.19 years) were significantly older than those in the low-risk group (mean age, 14.33 years; SE, 0.16 years; P = 0.01).
Each exposure variable was added to the base model one at a time, and models were run in the combined sample (boys and girls) as well as stratified by sex.
7 30–36 This corresponds well with the prevalence rates that we found in our study and consistently, in our sample, boys were found to be four times more likely to be diagnosed with ADHD than girls.
In our obese sample, boys (52.3%) and girls (44.7%) presented higher prevalence of the outcome than in another study with obese Brazilian adolescents (27,6%) [ 19] that used the same classification for MS. Moreover, the prevalence of NAFLD in our obese sample (26.4%) was similar to those recently observed in other overweight/obese adolescents (27,7%) [ 20].
For the total samples, boys had higher body height and heavier body weight than girls.
From the CDCI database we randomly sampled boys and girls aged 13 15 and 16 17 and within each group conducted one FGD.
