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J Clin Endocrinol Metab. 2011 Sep;96(9):E1542-9. doi: 10.1210/jc.2011-1243. Epub 2011 Jul 21.

Childhood environmental and genetic predictors of adulthood obesity: the cardiovascular risk in young Finns study.

Author information

  • 1Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Hospital, FIN-20520 Finland. markus.juonala@utu.fi

Abstract

CONTEXT:

Obesity from childhood to adulthood is associated with adverse health later in life. Increased youth BMI is a risk factor for later obesity, but it is unknown whether identification of other risk factors, including recently discovered genetic markers, would help to identify children at risk of developing adult obesity.

OBJECTIVES:

Our objective was to examine the childhood environmental and genetic predictors of adult obesity.

DESIGN, SETTING, AND PARTICIPANTS:

We followed 2119 individuals of the Cardiovascular Risk in Young Finns Study for up to 27 yr since baseline (1980, age 3-18 yr).

MAIN OUTCOME MEASURE:

We evaluated adult obesity [body mass index (BMI) ≥ 30 kg/m(2)].

RESULTS:

The independent predictors (P < 0.05) of adult obesity included childhood BMI, C-reactive protein (CRP), family income (inverse), mother's BMI, and polymorphisms near genes TFAP2B, LRRN6C, and FLJ35579. A risk assessment based on childhood BMI, mother's BMI, and family income was superior in predicting obesity compared with the approach using data only on BMI (C-statistics 0.751 vs. 0.772, P = 0.0015). Inclusion of data on childhood CRP and novel genetic variants for BMI did not incrementally improve C-value (0.779, P = 0.16). A nonlaboratory risk score (childhood BMI, mother's BMI, and family income) predicted adult obesity in all age groups between 3-18 yr (P always <0.001).

CONCLUSIONS:

Childhood BMI, CRP, family income (inversely), mother's BMI, and polymorphisms near genes FLJ35779, TFAP2B, and LRRN6C are independently related to adulthood obesity. However, because genetic risk markers and CRP only marginally improve the prediction, our results indicate that children at high risk of adult obesity can be identified using a simple non-laboratory-based risk assessment.

PMID:
21778217
PMCID:
PMC3167668
DOI:
10.1210/jc.2011-1243
[PubMed - indexed for MEDLINE]
Free PMC Article
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