Anthropometric and metabolic parameters associated with visceral fat in non-obese type 2 diabetes individuals.

IF 3.4 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Ming Jiao, Jiaoli Chen, Xiaoling Wang, Wenyu Tao, Yunhua Feng, Huijun Yang, Haiying Yang, Shanshan Zhao, Ying Yang, Yiping Li
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引用次数: 0

Abstract

Background and aim: Visceral fat (VF) was proved to be a more precise predictor of atherosclerotic cardiovascular disease (ASCVD) risk in individuals with type 2 diabetes mellitus (T2DM) than body mass index (BMI) itself. Even when the BMI was normal, visceral fat area (VFA) ≥ 90 cm² could raise the ten-year risk of developing ASCVD. Therefore, it was worth evaluating the association of influencing factors with high VF in non-obese T2DM individuals.

Methods: This study enrolled 1,409 T2DM participants with T2DM, of whom 538 had a normal BMI. Based on VFA, these subjects were divided into two groups: VF (+) (VFA ≥ 90cm2) (n = 110) and VF (-) (VFA < 90cm2) (n = 428). The measurement of VFA was conducted using an Omron VF measuring device. Anthropometric and metabolic parameters were detected. Novel insulin resistance indices, such as lipid accumulation product (LAP) was calculated. Factors associated with VF were screened using univariate analysis, multifactorial binary logistic regression models and chi-squared automatic interaction detector decision tree model.

Results: The VF (+) OB (-) (BMI ≤ 23.9 kg/m2) prevalence were 7.8% in T2DM subjects (n = 1,409) and 20.4% in T2DM subjects with normal BMI (n = 538), respectively. In T2DM subjects with normal BMI, the logistic regression model suggested that neck circumference (NC) had an odds ratio (OR) of 1.891 (95% CI: 1.165-3.069, P = 0.010). The OR for VF gradually increased from the 1st to the 4th in LAP quartile (P < 0.05). LAP emerged as the root node, followed by NC in the decision tree model. Receiver operating characteristic curve (ROC) analysis demonstrated that the area under the curve (AUC) for NC in predicting high VF levels was 0.640 for males and 0.682 for females. Optimal NC cut-off points were 37.75 cm for males and 34.75 cm for females, respectively. Additionally, the AUC values of LAP in predicting high VF levels were 0.745 for males and 0.772 for females, with optimal LAP cut-off points of 22.64 and 26.45 for males and females, respectively.

Conclusion: This study identified NC and LAP can be considered predictors of high VF in T2DM subjects with normal BMI.

非肥胖型2型糖尿病患者与内脏脂肪相关的人体测量学和代谢参数
背景和目的:内脏脂肪(VF)被证明是2型糖尿病(T2DM)患者动脉粥样硬化性心血管疾病(ASCVD)风险的更准确预测因子,而不是身体质量指数(BMI)本身。即使在BMI正常的情况下,内脏脂肪面积(VFA)≥90 cm²也会增加10年发生ASCVD的风险。因此,评估影响因素与非肥胖型T2DM患者高VF的关系是值得的。方法:本研究招募了1409名合并T2DM的T2DM参与者,其中538人BMI正常。根据VFA分为VF(+)组(VFA≥90cm2) (n = 110)和VF(-)组(VFA 2) (n = 428)。VFA的测量采用欧姆龙VF测量装置。检测人体测量和代谢参数。计算新的胰岛素抵抗指标,如脂质积累积(LAP)。采用单因素分析、多因素二元logistic回归模型和卡方自动交互检测器决策树模型筛选与VF相关的因素。结果:T2DM患者VF (+) OB (-) (BMI≤23.9 kg/m2)患病率为7.8% (n = 1,409), BMI正常T2DM患者患病率为20.4% (n = 538)。在BMI正常的T2DM受试者中,logistic回归模型显示颈围(NC)的优势比(OR)为1.891 (95% CI: 1.165 ~ 3.069, P = 0.010)。VF的OR值在LAP四分位数中由第1位逐渐升高至第4位(P)。结论:本研究确定NC和LAP可作为BMI正常的T2DM患者高VF的预测指标。
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来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
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