Body composition and metabolic syndrome in patients with type 1 diabetes

Qiong Zeng, Xiao-Jing Chen, Yi-Ting He, Ze-Ming Ma, Yi-Xi Wu, Kun Lin
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Abstract

BACKGROUND In recent years, the prevalence of obesity and metabolic syndrome in type 1 diabetes (T1DM) patients has gradually increased. Insulin resistance in T1DM deserves attention. It is necessary to clarify the relationship between body composition, metabolic syndrome and insulin resistance in T1DM to guide clinical treatment and intervention. AIM To assess body composition (BC) in T1DM patients and evaluate the relationship between BC, metabolic syndrome (MS), and insulin resistance in these indi-viduals. METHODS A total of 101 subjects with T1DM, aged 10 years or older, and with a disease duration of over 1 year were included. Bioelectrical impedance analysis using the Tsinghua-Tongfang BC Analyzer BCA-1B was employed to measure various BC parameters. Clinical and laboratory data were collected, and insulin resistance was calculated using the estimated glucose disposal rate (eGDR). RESULTS MS was diagnosed in 16/101 patients (15.84%), overweight in 16/101 patients (15.84%), obesity in 4/101 (3.96%), hypertension in 34/101 (33.66%%) and dyslipidemia in 16/101 patients (15.84%). Visceral fat index (VFI) and trunk fat mass were significantly and negatively correlated with eGDR (both P < 0.001). Female patients exhibited higher body fat percentage and visceral fat ratio compared to male patients. Binary logistic regression analysis revealed that significant factors for MS included eGDR [P = 0.017, odds ratio (OR) = 0.109], VFI (P = 0.030, OR = 3.529), and a family history of diabetes (P = 0.004, OR = 0.228). Significant factors for hypertension included eGDR (P < 0.001, OR = 0.488) and skeletal muscle mass (P = 0.003, OR = 1.111). Significant factors for dyslipidemia included trunk fat mass (P = 0.033, OR = 1.202) and eGDR (P = 0.037, OR = 0.708). CONCLUSION Visceral fat was found to be a superior predictor of MS compared to conventional measures such as body mass index and waist-to-hip ratio in Chinese individuals with T1DM. BC analysis, specifically identifying visceral fat (trunk fat), may play an important role in identifying the increased risk of MS in non-obese patients with T1DM.
1 型糖尿病患者的身体成分和代谢综合征
背景 近年来,1 型糖尿病(T1DM)患者中肥胖和代谢综合征的发病率逐渐上升。T1DM 患者的胰岛素抵抗值得关注。有必要明确 T1DM 患者身体成分、代谢综合征和胰岛素抵抗之间的关系,以指导临床治疗和干预。目的 评估 T1DM 患者的身体成分(BC),并评价这些个体的 BC、代谢综合征(MS)和胰岛素抵抗之间的关系。方法 共纳入 101 名年龄在 10 岁或以上、病程超过 1 年的 T1DM 患者。使用清华同方 BC 分析仪 BCA-1B 进行生物电阻抗分析,测量各种 BC 参数。收集了临床和实验室数据,并使用估计葡萄糖处置率(eGDR)计算胰岛素抵抗。结果 16/101 例患者(15.84%)确诊为多发性硬化症,16/101 例患者(15.84%)超重,4/101 例患者(3.96%)肥胖,34/101 例患者(33.66%)高血压,16/101 例患者(15.84%)血脂异常。内脏脂肪指数(VFI)和躯干脂肪量与 eGDR 呈显著负相关(均为 P <0.001)。与男性患者相比,女性患者的体脂率和内脏脂肪比率更高。二元逻辑回归分析显示,多发性硬化症的重要因素包括 eGDR [P = 0.017,比值比 (OR) = 0.109]、VFI(P = 0.030,OR = 3.529)和糖尿病家族史(P = 0.004,OR = 0.228)。高血压的重要因素包括 eGDR(P < 0.001,OR = 0.488)和骨骼肌质量(P = 0.003,OR = 1.111)。血脂异常的重要因素包括躯干脂肪量(P = 0.033,OR = 1.202)和 eGDR(P = 0.037,OR = 0.708)。结论 在中国的 T1DM 患者中,与体重指数和腰臀比等传统指标相比,内脏脂肪是更佳的 MS 预测指标。BC分析,特别是识别内脏脂肪(躯干脂肪),可能在识别T1DM非肥胖患者MS风险增加方面发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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