人体测量指标在预测 2 型糖尿病患者非酒精性脂肪肝中的作用

Dr. Anvisha Upadhyaya, Deepak Shukla, Swati Patel
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摘要

导言:全球糖尿病、肥胖症和代谢综合征的发病率不断上升,给公共卫生带来了巨大挑战,目前已被公认为各种系统疾病的诱因。此外,糖尿病患者尤其面临着更高的风险,这凸显了潜在健康问题的严重性。如果不能及时发现非酒精性脂肪肝,就会给医疗保健带来巨大障碍。人体测量指标对于了解印度人口中肥胖、非酒精性脂肪肝和糖尿病之间错综复杂的关系具有重要意义。目的:在不同的人体测量指标(如体重指数、WHR、WHtR)和非酒精性脂肪肝之间建立联系,确定在考虑这些指标的情况下,哪些被诊断为 2 型糖尿病的患者显示出最显著的预测能力。材料与方法仔细研究 132 名糖尿病患者的数据,采用标准方法收集人体测量数据,使用超声波检查,并进行常规病理和生化检查。研究结果研究揭示了确诊为 2 型糖尿病患者的体重指数、腰臀比、腰高比与非酒精性脂肪肝之间的相关性。结论体重指数、腰臀比和腰高比等人体测量指标可作为识别非酒精性脂肪肝的有效方法,随后可进行早期干预以解决肥胖问题,并有助于减少其对 2 型糖尿病的负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Anthropometric Indices in Prediction of Non-Alcoholic Fatty Liver Disease in Type 2 Diabetes Mellitus Patients
Introduction: The growing global incidence of diabetes, obesity and metabolic syndrome presents substantial public health challenges and is now recognized as a contributing factor to various systemic diseases. Also diabetic individuals, in particular, face a heightened risk, emphasizing the gravity of the underlying health issue. Failure to promptly recognize NAFLD can present a formidable healthcare obstacle. Anthropometric indicators are significant in understanding the intricate relationship between obesity, NAFLD, and diabetes in the Indian demography. Aim: Establishing connections between diverse anthropometric indices, such as BMI, WHR, WHtR and NAFLD, pinpointing which of the patients diagnosed with type 2 diabetes displayed the most significant predictive efficacy when considering these indicators. Material and Methods: Data from 132 diabetic patients was scrutinized, standard methodologies were employed for collecting anthropometric data, ultrasonography was utilized and routine pathological and biochemical investigations were conducted. Results: The study unveiled correlation between BMI, waist to hip ratio, waist to height ratio and NAFLD in individuals with type 2 diabetes diagnosis. Conclusion: Anthropometric indices such as BMI, waist to hip ratio and waist to height ratio can serve as efficient methods for identifying NAFLD, followed by an early intervention to tackle obesity, and help in reducing their negative effects on type 2 diabetes mellitus.
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