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Association of Basal Metabolic Rate and Nutrients Oxidation with Cardiometabolic Risk Factors and Insulin Sensitivity in Sedentary Middle-Aged Adults

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Journal Nutrients
Date 2020 Apr 29
PMID 32340248
Citations 3
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Abstract

This cross-sectional study aimed to examine the association of basal metabolic rate (BMR) and basal fat and carbohydrate oxidation (BFox and BCHox, respectively) with cardiometabolic risk factors and insulin sensitivity in sedentary middle-aged adults. A total of 71 healthy sedentary adults (37 women) aged 40-65 years participated in the current study. Data were collected during the baseline assessments of the FIT-AGEING randomized controlled trial. BMR was measured via indirect calorimetry, and BFox and BCHox estimated by stoichiometric equations. Blood pressure, glucose, insulin, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides plasma levels were selected as cardiometabolic risk factors and assessed following standard procedures. We observed positive associations of BMR with plasma insulin and the homeostatic model assessment of insulin resistance index (HOMA; all < 0.05) which were attenuated or disappeared after controlling by sex, age, and/or lean mass. There were positive associations between BFox and the quantitative insulin sensitivity check index (QUICKI; < 0.015), while negative associations were noted between BFox and plasma insulin and HOMA ( < 0.015). There was a significant negative association between BCHox with QUICKI ( < 0.01), whereas significant positive relationships were obtained when BCHox was associated with plasma insulin and HOMA ( < 0.01). These associations persisted in almost all cases when controlling by sex, age and/or lean mass. No further relationships were found when BMR, BFox, and BCHox were associated with other cardiometabolic risk factors. In conclusion, our study findings support that greater BFox and lower BCHox are related to improved insulin sensitivity, whereas BMR seems to be not associated with neither cardiometabolic risk nor insulin sensitivity in sedentary middle-aged adults. Further intervention studies are necessary to well-understand the physiological mechanism implied in this relationship.

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References
1.
Carracher A, Marathe P, Close K . International Diabetes Federation 2017. J Diabetes. 2018; 10(5):353-356. DOI: 10.1111/1753-0407.12644. View

2.
Whelton P, Williams B . The 2018 European Society of Cardiology/European Society of Hypertension and 2017 American College of Cardiology/American Heart Association Blood Pressure Guidelines: More Similar Than Different. JAMA. 2018; 320(17):1749-1750. DOI: 10.1001/jama.2018.16755. View

3.
Fullmer S, Benson-Davies S, Earthman C, Frankenfield D, Gradwell E, Lee P . Evidence analysis library review of best practices for performing indirect calorimetry in healthy and non-critically ill individuals. J Acad Nutr Diet. 2015; 115(9):1417-1446.e2. DOI: 10.1016/j.jand.2015.04.003. View

4.
Alawad A, Merghani T, Ballal M . Resting metabolic rate in obese diabetic and obese non-diabetic subjects and its relation to glycaemic control. BMC Res Notes. 2013; 6:382. PMC: 3850714. DOI: 10.1186/1756-0500-6-382. View

5.
Arvidsson D, Fridolfsson J, Borjesson M, Andersen L, Ekblom O, Dencker M . Re-examination of accelerometer data processing and calibration for the assessment of physical activity intensity. Scand J Med Sci Sports. 2019; 29(10):1442-1452. DOI: 10.1111/sms.13470. View