Yanju Zhang, Meiyang Du, Zhouhuiling Li, Xincheng Wang, Mingxin Leng, Yaping Huang, Libin Li, Shi Zhang, Chunjun Li
{"title":"中国肥胖人群内脏脂肪面积与骨骼肌质量比值与多器官胰岛素抵抗的相关性","authors":"Yanju Zhang, Meiyang Du, Zhouhuiling Li, Xincheng Wang, Mingxin Leng, Yaping Huang, Libin Li, Shi Zhang, Chunjun Li","doi":"10.1155/2024/1297584","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aims:</b> Insulin resistance (IR) is an important risk factor for obesity and cardiometabolic diseases, and our previous findings have demonstrated that visceral fat area to skeletal muscle mass ratio (VSR) is significantly and positively associated with the risk of cardiometabolic diseases. Hence, this study aimed to investigate the relationship between VSR and multiorgan IR, provide a new approach to improve body composition, and set the basis for VSR to increase the incidence of cardiometabolic diseases. <b>Materials and Methods:</b> The study included 398 patients who underwent anthropometric and biochemical measurements, and body composition assessment. Spearman correlation analysis was used to investigate the correlation between VSR and homeostatic model assessment for insulin resistance (HOMA-IR) as well as multiorgan IR, including homeostasis model assessment adiponectin (HOMA-AD), adipose tissue insulin resistance (ADIPO-IR), and hepatic insulin sensitivity (HISI). The new model that incorporated into the present study is made up of easily measured biochemical indicators and is used to predict IR. Logistic regression was used to analyze the odds ratio (OR) of VSR on the risk of multiorgan IR. The predictive value of VSR for HOMA-IR and new model was evaluated using the receiver operating characteristic (ROC) curve. <b>Results:</b> VSR was significantly associated with HOMA-IR, HOMA-AD, ADIPO-IR, 1/HISI, and new model (<i>p</i> < 0.001). With the increase of VSR, the OR increased significantly for HOMA-IR and new model (<i>p</i> < 0.001). Then, multiorgan IR indicators were quantified, compared to the lowest quartile group, and increased VSR exacerbated the risk of IR in the highest quartile (<i>p</i> <sub>trend</sub> < 0.001). The area under the curve for predicting IR using VSR for HOMA-IR and new model was 0.88 for men, 0.85 for women and 0.73 for men, 0.76 for women, respectively. <b>Conclusions:</b> There was significant correlation between VSR and multiorgan IR, and the risk of multiorgan IR increased with increasing VSR. <b>Trial Registration:</b> Clinical Trial Registry identifier: ChiCTR2100044305.</p>","PeriodicalId":13966,"journal":{"name":"International Journal of Endocrinology","volume":"2024 ","pages":"1297584"},"PeriodicalIF":2.3000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11519074/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Correlation Between Visceral Fat Area to Skeletal Muscle Mass Ratio and Multiorgan Insulin Resistance in Chinese Population With Obesity.\",\"authors\":\"Yanju Zhang, Meiyang Du, Zhouhuiling Li, Xincheng Wang, Mingxin Leng, Yaping Huang, Libin Li, Shi Zhang, Chunjun Li\",\"doi\":\"10.1155/2024/1297584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Aims:</b> Insulin resistance (IR) is an important risk factor for obesity and cardiometabolic diseases, and our previous findings have demonstrated that visceral fat area to skeletal muscle mass ratio (VSR) is significantly and positively associated with the risk of cardiometabolic diseases. Hence, this study aimed to investigate the relationship between VSR and multiorgan IR, provide a new approach to improve body composition, and set the basis for VSR to increase the incidence of cardiometabolic diseases. <b>Materials and Methods:</b> The study included 398 patients who underwent anthropometric and biochemical measurements, and body composition assessment. Spearman correlation analysis was used to investigate the correlation between VSR and homeostatic model assessment for insulin resistance (HOMA-IR) as well as multiorgan IR, including homeostasis model assessment adiponectin (HOMA-AD), adipose tissue insulin resistance (ADIPO-IR), and hepatic insulin sensitivity (HISI). The new model that incorporated into the present study is made up of easily measured biochemical indicators and is used to predict IR. Logistic regression was used to analyze the odds ratio (OR) of VSR on the risk of multiorgan IR. The predictive value of VSR for HOMA-IR and new model was evaluated using the receiver operating characteristic (ROC) curve. <b>Results:</b> VSR was significantly associated with HOMA-IR, HOMA-AD, ADIPO-IR, 1/HISI, and new model (<i>p</i> < 0.001). With the increase of VSR, the OR increased significantly for HOMA-IR and new model (<i>p</i> < 0.001). Then, multiorgan IR indicators were quantified, compared to the lowest quartile group, and increased VSR exacerbated the risk of IR in the highest quartile (<i>p</i> <sub>trend</sub> < 0.001). 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引用次数: 0
摘要
目的:胰岛素抵抗(IR)是肥胖和心血管代谢疾病的重要风险因素,我们之前的研究结果表明,内脏脂肪面积与骨骼肌质量比(VSR)与心血管代谢疾病的风险显著正相关。因此,本研究旨在探讨 VSR 与多器官红外之间的关系,为改善身体成分提供一种新方法,并为 VSR 提高心血管代谢疾病的发病率奠定基础。材料和方法:研究纳入了 398 名接受人体测量、生化测量和身体成分评估的患者。斯皮尔曼相关性分析用于研究 VSR 与胰岛素抵抗的稳态模型评估(HOMA-IR)以及多器官 IR(包括稳态模型评估脂肪连素(HOMA-AD)、脂肪组织胰岛素抵抗(ADIPO-IR)和肝脏胰岛素敏感性(HISI))之间的相关性。本研究采用的新模型由易于测量的生化指标组成,用于预测胰岛素抵抗。逻辑回归用于分析 VSR 对多器官 IR 风险的几率比(OR)。使用接收者操作特征曲线(ROC)评估了 VSR 对 HOMA-IR 和新模型的预测价值。结果VSR 与 HOMA-IR、HOMA-AD、ADIPO-IR、1/HISI 和新模型均有明显相关性(P < 0.001)。随着 VSR 的增加,HOMA-IR 和新模型的 OR 也明显增加(P < 0.001)。然后,与最低四分位组相比,量化了多器官 IR 指标,VSR 的增加加剧了最高四分位组的 IR 风险(p 趋势 < 0.001)。使用 HOMA-IR 和新模型的 VSR 预测 IR 的曲线下面积分别为:男性 0.88,女性 0.85;男性 0.73,女性 0.76。结论VSR与多器官IR之间存在明显的相关性,多器官IR的风险随着VSR的增加而增加。试验注册:临床试验注册标识符:ChiCTR2100044305ChiCTR2100044305。
The Correlation Between Visceral Fat Area to Skeletal Muscle Mass Ratio and Multiorgan Insulin Resistance in Chinese Population With Obesity.
Aims: Insulin resistance (IR) is an important risk factor for obesity and cardiometabolic diseases, and our previous findings have demonstrated that visceral fat area to skeletal muscle mass ratio (VSR) is significantly and positively associated with the risk of cardiometabolic diseases. Hence, this study aimed to investigate the relationship between VSR and multiorgan IR, provide a new approach to improve body composition, and set the basis for VSR to increase the incidence of cardiometabolic diseases. Materials and Methods: The study included 398 patients who underwent anthropometric and biochemical measurements, and body composition assessment. Spearman correlation analysis was used to investigate the correlation between VSR and homeostatic model assessment for insulin resistance (HOMA-IR) as well as multiorgan IR, including homeostasis model assessment adiponectin (HOMA-AD), adipose tissue insulin resistance (ADIPO-IR), and hepatic insulin sensitivity (HISI). The new model that incorporated into the present study is made up of easily measured biochemical indicators and is used to predict IR. Logistic regression was used to analyze the odds ratio (OR) of VSR on the risk of multiorgan IR. The predictive value of VSR for HOMA-IR and new model was evaluated using the receiver operating characteristic (ROC) curve. Results: VSR was significantly associated with HOMA-IR, HOMA-AD, ADIPO-IR, 1/HISI, and new model (p < 0.001). With the increase of VSR, the OR increased significantly for HOMA-IR and new model (p < 0.001). Then, multiorgan IR indicators were quantified, compared to the lowest quartile group, and increased VSR exacerbated the risk of IR in the highest quartile (ptrend < 0.001). The area under the curve for predicting IR using VSR for HOMA-IR and new model was 0.88 for men, 0.85 for women and 0.73 for men, 0.76 for women, respectively. Conclusions: There was significant correlation between VSR and multiorgan IR, and the risk of multiorgan IR increased with increasing VSR. Trial Registration: Clinical Trial Registry identifier: ChiCTR2100044305.
期刊介绍:
International Journal of Endocrinology is a peer-reviewed, Open Access journal that provides a forum for scientists and clinicians working in basic and translational research. The journal publishes original research articles, review articles, and clinical studies that provide insights into the endocrine system and its associated diseases at a genomic, molecular, biochemical and cellular level.