PP129 - TOTAL ENERGY EXPENDITURE IN OVERWEIGHT ADULTS WITH PREDIABETES: A DOUBLY LABELLED WATER STUDY

PP129

TOTAL ENERGY EXPENDITURE IN OVERWEIGHT ADULTS WITH PREDIABETES: A DOUBLY LABELLED WATER STUDY

L. Yang^1,*, J. Feng¹, M. Guo¹, D. Mao¹, P. Song¹, G. Ding¹

¹National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China

Rationale: Few studies have examined energy metabolism in overweight adults with prediabetes. This study aimed to compare total energy expenditure (TEE) and basal metabolic rate (BMR) between this population and healthy controls, and to explore contribution of glycemic status, and body composition to energy expenditure.

Methods: A total of 42 adults aged 40~60 years were enrolled in Guangzhou, China, including 23 of overweight with prediabetes (BMI≥24.0 kg/m²; fasting plasma glucose (FPG) 5.6~7.0 mmol/L and/or glycated hemoglobin (HbA1c) 5.7%~6.5%) and 19 of healthy controls (BMI 18.5~23.9 kg/m²; FPG<5.6 mmol/L). TEE was measured using the doubly labelled water (DLW) method under free-living conditions. BMR was assessed by indirect calorimetry. Body composition was determined by the DLW method.

Results: Unadjusted DLW-measured TEE and BMR showed significantly higher in the overweight group with prediabetes compared with healthy group (all P＜0.05). After adjusting for body weight/fat-free mass (FFM), TEE showed no significant difference between groups in either sexes, whereas BMR remained significantly higher in the overweight group with prediabetes. In multiple regression models,  FFM and FPG were independent predictors of TEE (both P < 0.05). In hierarchical regression for TEE, FPG explained an additional 5.0% of the variance after controlling for sex and FFM (P = 0.007). For BMR, insulin resistance (HOMA-IR) was an independent predictor and explained an additional 4.8% of variance after controlling for sex and FFM (P = 0.018).

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Conclusion: These findings suggested that body composition and glucose metabolism parameters independently contributed to TEE and BMR to some extent. Larger sample sizes are needed to validate these results in the future. 

Disclosure of Interest: None declared