Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, China.
School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Diabetes Metab J. 2022 Sep;46(5):767-780. doi: 10.4093/dmj.2021.0258. Epub 2022 May 10.
Obesity is associated with adverse health events among diabetic patients, however, the relationship between obesity fluctuation and risk of microvascular complications among this specific population is unclear. We aimed to examine the effect of waist circumference (WC) and body mass index (BMI) variability on the risk of diabetic microvascular outcome.
Annually recorded anthropometric data in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study was used to examine the association of WC and BMI variability defined as variability independent of mean, with the risk of microvascular outcomes, including neuropathy, nephropathy, and retinopathy. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) (Trial registration: ClinicalTrials.gov., no. NCT00000620).
There were 4,031, 5,369, and 2,601 cases of neuropathy, nephropathy, and retinopathy during a follow-up period of 22,524, 23,941, and 23,850 person-years, respectively. Higher levels of WC and BMI variability were associated with an increased risk of neuropathy. Compared with the lowest quartile, the fully-adjusted HR (95% CI) for the highest quartile of WC and BMI variability for neuropathy risk were 1.21 (1.05 to 1.40) and 1.16 (1.00 to 1.33), respectively. Also, higher quartiles of BMI variability but not WC variability were associated with increased risk of nephropathic events. The fully-adjusted HR (95% CI) for the highest quartile compared with the lowest quartile of BMI variability was 1.31 (1.18 to 1.46). However, the results for retinopathic events were all insignificant.
Among participants with type 2 diabetes mellitus, WC and BMI variability were associated with a higher risk of neuropathic events, whereas BMI variability was associated with an increased risk of nephropathic events.
肥胖与糖尿病患者的不良健康事件有关,然而,在这一特定人群中,腰围(WC)和体重指数(BMI)波动与微血管并发症风险之间的关系尚不清楚。我们旨在研究 WC 和 BMI 变异性对糖尿病微血管结局风险的影响。
利用行动控制心血管风险中的糖尿病(ACCORD)研究中每年记录的人体测量数据,研究 WC 和 BMI 变异性(定义为独立于平均值的变异性)与微血管结局(包括神经病变、肾病和视网膜病变)风险之间的关联。Cox 比例风险模型用于估计风险比(HR)和 95%置信区间(CI)(试验注册:ClinicalTrials.gov,编号 NCT00000620)。
在 22524、23941 和 23850 人年的随访期间,分别有 4031、5369 和 2601 例神经病变、肾病和视网膜病变病例。较高的 WC 和 BMI 变异性水平与神经病变风险增加相关。与最低四分位数相比,WC 和 BMI 变异性最高四分位数的全调整 HR(95%CI)为神经病变风险的 1.21(1.05 至 1.40)和 1.16(1.00 至 1.33)。此外,BMI 变异性较高的四分位数而非 WC 变异性与肾病事件风险增加相关。与最低四分位数相比,BMI 变异性最高四分位数的全调整 HR(95%CI)为 1.31(1.18 至 1.46)。然而,视网膜病变事件的结果均无统计学意义。
在 2 型糖尿病患者中,WC 和 BMI 变异性与神经病变事件的风险增加相关,而 BMI 变异性与肾病事件的风险增加相关。