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. 2016 Jul:174:185-92.
doi: 10.1016/j.jpeds.2016.04.012. Epub 2016 May 9.

Nonlinear Relationship between Birth Weight and Visceral Fat in Adolescents

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Nonlinear Relationship between Birth Weight and Visceral Fat in Adolescents

Brian K Stansfield et al. J Pediatr. 2016 Jul.

Abstract

Objective: To determine the association of birth weight with abdominal fat distribution and markers known to increase risk for cardiovascular disease and type 2 diabetes in adolescents.

Study design: In 575 adolescents aged 14-18 years (52% female, 46% black), birth weight was obtained by parental recall. Fasting blood samples were measured for glucose, insulin, lipids, adiponectin, leptin, and C-reactive protein. Subcutaneous abdominal adipose tissue and visceral adipose tissue were assessed by magnetic resonance imaging.

Results: When we compared markers of cardiometabolic risk across tertiles of birth weight, adjusting for age, sex, race, Tanner stage, physical activity, socioeconomic status, and body mass index, there were significant U-shaped trends for homeostasis model assessment of insulin resistance, leptin, and visceral adipose tissue (all Pquadratic < .05). A significant linear downward trend across tertiles of birth weight was observed for triglycerides (Plinear = .03). There were no differences in fasting glucose, blood pressure, total cholesterol, low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol, adiponectin, C-reactive protein, or subcutaneous abdominal adipose tissue across tertiles of birth weight.

Conclusions: Our data suggest that both low and high birth weights are associated with greater visceral adiposity and biomarkers implicated in insulin resistance and inflammation in adolescents.

Keywords: fetal origins; insulin resistance; metabolic syndrome; obesity.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure
Figure
Associations of A, SAAT and B, VAT across tertiles of birth weight in 575 adolescents aged 14–18 years. Plinear and Pquadratic refer to P values obtained from the ANCOVA analysis for linear and quadratic terms, respectively, adjusted for age, sex, Tanner stage, moderate/vigorous physical activity, socioeconomic status, and BMI percentile.

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