Familial influences and obesity-associated metabolic risk factors contribute to the variation in resting energy expenditure: The Kiel Obesity Prevention Study

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Abstract

Background: A low metabolic rate may be inherited and predispose to obesity, whereas a higher metabolic rate in obesity may be acquired by obesity-associated cardiometabolic risk. Objective: We aimed to explain the interindividual variation in resting energy expenditure (REE) by assessing 1) the association between REE and body composition, thyroid hormones, and obesity-related cardiometabolic risk factors, and 2) the familial (genetic and environmental) contribution to REE. Design: REE and metabolic risk factors (ie, blood pressure and plasma insulin, glucose, and C-reactive protein concentrations) were assessed in 149 two- or three-generation families, including at least one overweight or obese member. Heritability of REE, respiratory quotient (RQ), thyroid hormones [thyrotropin (TSH), free triiodothyronine (FT3) and free thyroxine (FT4)], and body composition (fat-free mass and fat mass) were estimated by using variance components-based quantitative genetic models. Results: REE adjusted for body composition, sex, and age (REEadj) significantly correlated with systolic and diastolic blood pressure, plasma insulin and glucose concentrations, and the homeostasis model assessment (HOMA) (r = 0.14-0.31, P < 0.05). Thyroid hormones had a modest influence on REE variance only. Heritability was 0.30 ± 0.07 for REEadj and 0.29 ± 0.08 for REE after additional adjustment for thyroid hormones and metabolic risk. Furthermore, heritability was estimated to be 0.22 ± 0.08 for RQ, 0.37 ± 0.08 for TSH, 0.68 ± 0.06 for FT4, and 0.69 ± 0.05 for FT3 (all significantly larger than zero). Conclusions: Obesity-related cardiometabolic risk factors contribute to interindividual variation in REE, with hypertension and insulin resistance being associated with a higher REE. REE was moderately heritable, independent of body composition, sex, age, thyroid function, and cardiometabolic risk. © 2008 American Society for Nutrition.

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Bosy-Westphal, A., Wolf, A., Bührens, F., Hitze, B., Czech, N., Mönig, H., … Müller, M. J. (2008). Familial influences and obesity-associated metabolic risk factors contribute to the variation in resting energy expenditure: The Kiel Obesity Prevention Study. American Journal of Clinical Nutrition, 87(6), 1695–1701. https://doi.org/10.1093/ajcn/87.6.1695

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