[Association between obesity and the risk of microvascular complications in Yinzhou District, Ningbo adults with type 2 diabetes mellitus].

Penghao Wang, Zhifeng Xu, Qinkang Lu, Peng Shen, Yuqiong Li, Tao Chen, Wen Ye, Bingqi Li, Lindan Ji
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Data collection encompassed demographic characteristics, lifestyle behaviors, laboratory test result, and physical examination findings, obtained at both baseline and during follow-up periods through structured epidemiological surveys and clinical assessments. Various obesity indices were calculated, including body mass index(BMI), waist-to-height ratio(WHtR), a body shape index(ABSI) and body roundness index(BRI). We also computed the coefficients of variation for these obesity indices during the follow-up period. A Cox proportional hazards regression model was used to analyze the association between obesity indices at baseline and follow-up, and the risk of developing microvascular complications. Additionally, receiver operating characteristic(ROC) curves were used to analyze the predictive efficacy of the coefficients of variation for BMI, WHtR, ABSI and BRI in relation to microvascular complications, and the areas under the curve(AUCs) were calculated.</p><p><strong>Results: </strong>A total of 27 635 patients with type 2 diabetes(T2DM) were included, contributing to 153 717 person-years of follow-up. During this period, 12 969 new cases of microvascular complications were identified, resultsing in an incidence rate of 84.37 cases per 1000 person-years. Patients were categorized into two groups based on the occurrence of complications: those with microvascular complications and those without. There was no significant difference in blood glucose levels between the two groups at baseline. 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Further stratified analysis based on baseline BMI revealed that the variability in abdominal obesity indices was more strongly associated with microvascular complications in patients with normal and overweight BMI compared to those with obesity. Specifically, the following result were observed: waist circumference(HR_(normal BMI)=1.074, HR_(overweight)=1.059, HR_(obesity)=1.041; P&lt;0.01), WHtR(HR_(normal BMI)=1.069, HR_(overweight)=1.059, HR_(obesity)=1.037; P&lt;0.01), ABSI(HR_(normal BMI)=1.065, HR_(overweight)=1.067, HR_(obesity)=1.038; P&lt;0.01), BRI(HR_(normal BMI)=1.023, HR_(overweight)=1.020, HR_(obesity)=1.011; P&lt;0.01). Additionally, to further explore the predictive value of various obesity indices for microvascular complications in type 2 diabetes mellitus(T2DM), we conducted stratified analyses based on sex and age(using 60 years as the cutoff). WHtR showed similar predictive performance between men(AUC = 0.794) and women(AUC=0.789). However, WHtR demonstrated stronger predictive ability in individuals over 60 years old(AUC = 0.803) compared to those aged 60 years or younger(AUC = 0.777). ABSI exhibited a higher predictive value in men(AUC = 0.752) than in women(AUC = 0.730), and again, the index performed better in the older population(AUC = 0.761) than in the younger group(AUC = 0.725). Similarly, BRI demonstrated comparable performance between sexes [men(AUC = 0.796) and women(AUC = 0.791)] with the highest predictive accuracy seen in participants over 60 years(AUC = 0.806). By contrast, BMI showed relatively lower predictive power across all subgroups. 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引用次数: 0

Abstract

Objective: To investigate the association between various obesity indices and the risk of developing microvascular complications in adult patients with Type 2 diabetes(T2DM), using cohort data derived from Yinzhou District Health Big Data Platform of China.

Methods: This study included adult patients with type 2 diabetes(T2DM) who were enrolled between January 1, 2008, and December 31, 2013, in Yinzhou District, Ningbo, and did not have any microvascular complications at baseline. Data collection encompassed demographic characteristics, lifestyle behaviors, laboratory test result, and physical examination findings, obtained at both baseline and during follow-up periods through structured epidemiological surveys and clinical assessments. Various obesity indices were calculated, including body mass index(BMI), waist-to-height ratio(WHtR), a body shape index(ABSI) and body roundness index(BRI). We also computed the coefficients of variation for these obesity indices during the follow-up period. A Cox proportional hazards regression model was used to analyze the association between obesity indices at baseline and follow-up, and the risk of developing microvascular complications. Additionally, receiver operating characteristic(ROC) curves were used to analyze the predictive efficacy of the coefficients of variation for BMI, WHtR, ABSI and BRI in relation to microvascular complications, and the areas under the curve(AUCs) were calculated.

Results: A total of 27 635 patients with type 2 diabetes(T2DM) were included, contributing to 153 717 person-years of follow-up. During this period, 12 969 new cases of microvascular complications were identified, resultsing in an incidence rate of 84.37 cases per 1000 person-years. Patients were categorized into two groups based on the occurrence of complications: those with microvascular complications and those without. There was no significant difference in blood glucose levels between the two groups at baseline. After adjusting for sociodemographic characteristics, laboratory indicators, and potential confounders such as a history of hypertension and hyperlipidemia, it was found that only the WHtR(HR=1.027, 95%CI 1.008-1.046), ABSI(HR=1.035, 95%CI 1.018-1.053) and BRI(HR=1.030, 95%CI 1.011-1.049) were independently associated with the risk of microvascular complications at baseline, while waist circumference(HR=1.010, 95%CI 0.992-1.029) and BMI(HR=0.985, 95%CI 0.967-1.002) were not significantly related(P>0.05). During the follow-up period, the coefficients of variation for all obesity indices were independently associated with an increased risk of microvascular complications. Among them, abdominal obesity indices, such as waist circumference(HR=0.063, 95%CI 1.057-1.069), WHtR(HR=1.060, 95%CI 1.054-1.066), and ABSI(HR=1.062, 95%CI 1.058-1.066), were most strongly linked to the risk of microvascular complications. Further stratified analysis based on baseline BMI revealed that the variability in abdominal obesity indices was more strongly associated with microvascular complications in patients with normal and overweight BMI compared to those with obesity. Specifically, the following result were observed: waist circumference(HR_(normal BMI)=1.074, HR_(overweight)=1.059, HR_(obesity)=1.041; P<0.01), WHtR(HR_(normal BMI)=1.069, HR_(overweight)=1.059, HR_(obesity)=1.037; P<0.01), ABSI(HR_(normal BMI)=1.065, HR_(overweight)=1.067, HR_(obesity)=1.038; P<0.01), BRI(HR_(normal BMI)=1.023, HR_(overweight)=1.020, HR_(obesity)=1.011; P<0.01). Additionally, to further explore the predictive value of various obesity indices for microvascular complications in type 2 diabetes mellitus(T2DM), we conducted stratified analyses based on sex and age(using 60 years as the cutoff). WHtR showed similar predictive performance between men(AUC = 0.794) and women(AUC=0.789). However, WHtR demonstrated stronger predictive ability in individuals over 60 years old(AUC = 0.803) compared to those aged 60 years or younger(AUC = 0.777). ABSI exhibited a higher predictive value in men(AUC = 0.752) than in women(AUC = 0.730), and again, the index performed better in the older population(AUC = 0.761) than in the younger group(AUC = 0.725). Similarly, BRI demonstrated comparable performance between sexes [men(AUC = 0.796) and women(AUC = 0.791)] with the highest predictive accuracy seen in participants over 60 years(AUC = 0.806). By contrast, BMI showed relatively lower predictive power across all subgroups. Specifically, the AUC values for BMI were 0.744 in men and 0.714 in women, 0.714 in those aged 60 years or below and 0.748 in those above 60 years.

Conclusion: Increased baseline abdominal obesity indices(WHtR, ABSI and BRI) and higher variability in obesity indices during follow-up are strongly associated with increased risks of microvascular complications in T2DM patients. In individuals with normal BMI, higher variability in abdominal obesity indices is positively correlated with the risk of microvascular complications. Furthermore, the variability in abdominal obesity indices(WHtR, ABSI and BRI) provides better predictive ability for microvascular complications compared to general obesity indices(BMI), especially in male patients and those aged over 60.

[宁波市鄞州地区成人2型糖尿病患者肥胖与微血管并发症的关系]。
目的:利用中国鄞州区健康大数据平台的队列数据,探讨成人2型糖尿病(T2DM)患者各种肥胖指标与微血管并发症发生风险的相关性。方法:本研究纳入2008年1月1日至2013年12月31日在宁波市鄞州区无微血管并发症的成年2型糖尿病(T2DM)患者。数据收集包括在基线和随访期间通过结构化流行病学调查和临床评估获得的人口统计学特征、生活方式行为、实验室检测结果和体格检查结果。计算各种肥胖指数,包括身体质量指数(BMI)、腰高比(WHtR)、体型指数(ABSI)和身体圆度指数(BRI)。我们还计算了随访期间这些肥胖指数的变异系数。采用Cox比例风险回归模型分析基线和随访时肥胖指数与微血管并发症发生风险之间的关系。此外,采用受试者工作特征(ROC)曲线分析BMI、WHtR、ABSI和BRI变异系数对微血管并发症的预测效果,并计算曲线下面积(aus)。结果:共纳入27635例2型糖尿病(T2DM)患者,随访时间为153 717人年。在此期间,新增微血管并发症12 969例,发病率为84.37例/ 1000人年。根据并发症的发生情况将患者分为有微血管并发症组和无微血管并发症组。两组在基线时血糖水平无显著差异。在调整了社会人口统计学特征、实验室指标以及高血压和高脂血症史等潜在混杂因素后,发现基线时只有腰宽比(HR=1.027, 95%CI 1.008-1.046)、ABSI(HR=1.035, 95%CI 1.018-1.053)和BRI(HR=1.030, 95%CI 1.011-1.049)与微血管并发症风险独立相关,而腰围(HR=1.010, 95%CI 0.992-1.029)和BMI(HR=0.985)与微血管并发症风险独立相关。95%CI 0.967-1.002)无显著相关(P&gt;0.05)。在随访期间,所有肥胖指数的变异系数与微血管并发症的风险增加独立相关。其中,腰围(HR=0.063, 95%CI 1.057 ~ 1.069)、腰粗比(HR=1.060, 95%CI 1.054 ~ 1.066)、腰粗比(HR=1.062, 95%CI 1.058 ~ 1.066)等腹部肥胖指标与微血管并发症的发生风险关系最为密切。基于基线BMI的进一步分层分析显示,与肥胖患者相比,BMI正常和超重患者腹部肥胖指数的变异性与微血管并发症的相关性更强。具体结果为:腰围(HR_(正常BMI)=1.074, HR_(超重)=1.059,HR_(肥胖)=1.041;P&lt;0.01), WHtR(HR_(正常BMI)=1.069, HR_(超重)=1.059,HR_(肥胖)=1.037;P&lt;0.01), ABSI(HR_(正常BMI)=1.065, HR_(超重)=1.067,HR_(肥胖)=1.038;P&lt;0.01), BRI(HR_(正常BMI)=1.023, HR_(超重)=1.020,HR_(肥胖)=1.011;术中,0.01)。此外,为了进一步探讨各种肥胖指标对2型糖尿病(T2DM)微血管并发症的预测价值,我们进行了基于性别和年龄(以60岁为截止年龄)的分层分析。男性(AUC= 0.794)和女性(AUC=0.789)的WHtR预测效果相似。然而,与60岁及以下人群(AUC = 0.777)相比,60岁以上人群的WHtR预测能力更强(AUC = 0.803)。ABSI在男性中的预测价值(AUC = 0.752)高于女性(AUC = 0.730),而且该指数在老年人群中的表现(AUC = 0.761)优于年轻人群(AUC = 0.725)。同样,BRI在性别之间表现出可比性[男性(AUC = 0.796)和女性(AUC = 0.791)],在60岁以上的参与者中(AUC = 0.806)的预测准确性最高。相比之下,BMI在所有亚组中显示出相对较低的预测能力。其中,男性BMI的AUC值为0.744,女性为0.714,60岁及以下为0.714,60岁以上为0.748。结论:T2DM患者基线腹部肥胖指数(WHtR、ABSI和BRI)的增加和肥胖指数的变异性增加与微血管并发症的风险增加密切相关。 在BMI正常的个体中,腹部肥胖指数的高变异性与微血管并发症的风险呈正相关。此外,与一般肥胖指数(BMI)相比,腹部肥胖指数(WHtR、ABSI和BRI)的变异性对微血管并发症具有更好的预测能力,尤其是在男性患者和60岁以上的患者中。
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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