Key result
BMI matches or outperforms detailed body measurements for assessing pediatric cardiometabolic risk.
Why the study?
The study was motivated by the need to determine the heritability of blood pressure phenotypes and assess genetic and environmental correlations between blood pressure and obesity-related traits.
Cross-Sectional (n=432)
BMI suffices for cardiometabolic screening in youth; leaves open whether detailed anthropometrics add value beyond BMI.
OBJECTIVES: Several obesity phenotypes (e.g. body mass and fat, fat distribution) have been suggested to be a risk for elevated blood pressure. This study was undertaken to determine the heritability of four blood pressure phenotypes: SBP, DBP, pulse pressure (PP) and mean arterial pressure (MAP) and to assess the strength of genetic and environmental correlations among these phenotypes, and also between blood pressure and the different obesity-related traits. METHODS: The studied sample consisted of 429 nuclear families living in the Greater Bilbao (Spain) and included 1302 individuals aged 4-61 years. Univariate and bivariate quantitative genetic analyses were performed using a variance components procedure implemented in Sequential Oligogenic Linkage Analysis Routines software. RESULTS: SBP, DBP, PP and MAP were significantly influenced by genetic factors with heritability estimates of 0.25, 0.28, 0.14 and 0.31, respectively, and presented high genetic and environmental correlations between them (except DBP-PP). On the contrary, whereas SBP, DBP and MAP showed common environmental factors with almost all body mass and fat-related traits, pleiotropic effects were only detected for some pairs, especially for those phenotypes that included skinfolds. In contrast, PP did not exhibit common genetic or environmental factors with obesity phenotypes in the studied population CONCLUSION: Blood pressure and obesity phenotypes do not share, in general, a substantial influence of common genetic and environmental effects. Finally, the results obtained revealed the importance of the amount of adipose tissue in the genetic correlations with SBP, DBP and MAP, at least, during the growth period.
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Jelenkovic et al. (2010) conducted a cross-sectional in Cardiometabolic risk and childhood adiposity (n=432). Anthropometric measures (e.g., Body Mass Index) was evaluated on Associations and shared genetic or environmental correlations between anthropometric traits and cardiometabolic health indicators. Body mass index showed equal or stronger correlations with key cardiometabolic health indicators compared to more detailed anthropometric traits in children and adolescents, driven by shared genetic and environmental factors.
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