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Overweight in adolescence can be predicted at age 6 years: a CART analysis in German cohorts.


ABSTRACT:

Objective

To examine, whether overweight in adolescents can be predicted from the body mass index (BMI) category, at the age of 6, the mother's education level and mother's obesity and to quantify the proportion of overweight at the age of 14 that can be explained by these predictors.

Method

Pooled data from three German cohorts providing anthropometric and other relevant data to a total of 1 287 children. We used a classification and regression tree (CART) approach to identify the contribution of BMI category at the age of 6 (obese: BMI > 97th percentile (P97); overweight: P90 < BMI ? P97; high normal weight: P75P90) at the age of 14.

Results

While 4.8% [95%CI: 3.2;7.0] of 651 boys and 4.1% [95%CI: 2.6;6.2] of 636 girls with a BMIP97 (similar results for girls). BM I ? P75 at the age of 6 explained 63.5% [95%CI: 51.1;74.5]) and 72.0% [95%CI: 60.4;81.8] of overweight/obesity at the age of 14 in boys and girls, respectively.

Conclusions

Overweight/obesity in adolescence can be predicted by BMI category at the age of 6 allowing for parent counselling or risk guided interventions in children with BMI ? P75, who accounted for >2/3 of overweight/obesity in adolescents.

SUBMITTER: Riedel C 

PROVIDER: S-EPMC3968156 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Overweight in adolescence can be predicted at age 6 years: a CART analysis in German cohorts.

Riedel Christina C   von Kries Rüdiger R   Buyken Anette E AE   Diethelm Katharina K   Keil Thomas T   Grabenhenrich Linus L   Müller Manfred J MJ   Plachta-Danielzik Sandra S  

PloS one 20140327 3


<h4>Objective</h4>To examine, whether overweight in adolescents can be predicted from the body mass index (BMI) category, at the age of 6, the mother's education level and mother's obesity and to quantify the proportion of overweight at the age of 14 that can be explained by these predictors.<h4>Method</h4>Pooled data from three German cohorts providing anthropometric and other relevant data to a total of 1 287 children. We used a classification and regression tree (CART) approach to identify th  ...[more]

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