Nonlinear Relationship between Birth Weight and Visceral Fat in Adolescents
- PMID: 27174144
- PMCID: PMC5711485
- DOI: 10.1016/j.jpeds.2016.04.012
Nonlinear Relationship between Birth Weight and Visceral Fat in Adolescents
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.
Copyright © 2016 Elsevier Inc. All rights reserved.
Conflict of interest statement
The authors declare no conflicts of interest.
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Comment in
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Zarte und stämmige Babys tendieren später zu Fettleibigkeit.MMW Fortschr Med. 2017 May;159(9):44. doi: 10.1007/s15006-017-9647-9. MMW Fortschr Med. 2017. PMID: 28509019 German. No abstract available.
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