Vitamin D status and insulin sensitivity are novel predictors of resting metabolic rate: a cross-sectional analysis in Australian adults
Vitamin D status and insulin sensitivity are novel predictors of resting metabolic rate: a cross-sectional analysis in Australian adults
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DOI：
10.1007/s00394-015-1021-z
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发表时间：
2016-09-01
影响因子：
5
通讯作者：
Hamidi, A.
中科院分区：
文献类型：
--
作者：
Calton, E. K.;Pathak, K.;Hamidi, A.
静息代谢率（RMR）占久坐个体总能量消耗的三分之二。在考虑传统因素后，RMR仍然存在相当大的无法解释的差异。肥胖和代谢综合征（MetS）的流行与维生素D缺乏的高发并存。本研究的目的是评估维生素D状态、胰岛素敏感性（IS）和代谢综合征（MetS）对澳大利亚成年人RMR的潜在影响。评估澳大利亚成年人的RMR、呼吸商（RQ）、McAuley胰岛素敏感性指数、脂肪量（FM）、无脂肪量（FFM）和维生素D状况。根据目前的标准标准评估MetS的存在。采用基于逐步回归和反向回归的多元线性回归方法对RMR的预测因子进行检验，并注意多重共线性。所有分析均采用SPSS version 21进行。纳入127名参与者（45名男性，82名女性），年龄53.4 +/- A 11.7岁，BMI 31.9 +/- A 5.2 kg/m(2)。41名受试者维生素D不足（< 50 nmol/L）， 75名受试者有MetS。RMR (kJ/d) = 1931 + 83.5 × FFM (kg) + 29.5 × FM (kg) + 5.65 × 25(OH) d (nmol/L) - 17.6 ×年龄（年）- 57.51 × IS，可解释85.8%的RMR。维生素D状态和IS是成人RMR的新的独立预测因子。未来的研究可以验证这些因素在人体能量代谢中的因果作用。
Resting metabolic rate (RMR) accounts for two-thirds of the total energy expenditure in sedentary individuals. After accounting for traditional factors, there still remains a considerable unexplained variance in RMR. There is a pandemic of obesity and metabolic syndrome (MetS) which coexists with a high prevalence of vitamin D insufficiency. The aim of this study was to evaluate the potential effects of vitamin D status, insulin sensitivity (IS) and the metabolic syndrome (MetS) on RMR in Australian adults.RMR, respiratory quotient (RQ), McAuley's insulin sensitivity index, fat mass (FM), fat-free mass (FFM) and vitamin D status were assessed in Australian adults. The presence of MetS was evaluated by current standard criteria. Predictors of RMR were examined through multiple linear regression based on stepwise and backward regression approaches with attention to multi-collinearity. All analyses were conducted on SPSS version 21.One hundred and twenty-seven participants (45 men, 82 women), aged 53.4 +/- A 11.7 years and BMI 31.9 +/- A 5.2 kg/m(2), were included. Forty-one subjects were insufficient in vitamin D status (< 50 nmol/L), and 75 participants had the MetS. A parsimonious regression model explained 85.8 % of RMR and was given by: RMR (kJ/d) = 1931 + 83.5 x FFM (kg) + 29.5 x FM (kg) + 5.65 x 25(OH)D (nmol/L) - 17.6 x age (years) - 57.51 x IS.Vitamin D status and IS are novel independent predictors of RMR in adults. Future studies could validate a causal role for these factors in human energy metabolism.