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646000 四川 泸州,西南医科大学附属医院内分泌科
[万沁,E-mail:wanqin3@126.com WAN Qin, E-mail: wanqin3@126.com
收稿:2020-06-13,
修回:2020-07-15,
纸质出版:2020-11-15
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缪莹, 陈攀, 晏丕军, 等. 内脏脂肪指数与糖尿病前期患者转归糖尿病的相关性研究[J]. 第三军医大学学报, 2020,42(21):2154-2161.
Ying MIAO, Pan CHEN, Pijun YAN, et al. Association between visceral adiposity index and outcome of prediabetes: report of 1 064 cases[J]. Journal of Third Military Medical University, 2020, 42(21): 2154-2161.
缪莹, 陈攀, 晏丕军, 等. 内脏脂肪指数与糖尿病前期患者转归糖尿病的相关性研究[J]. 第三军医大学学报, 2020,42(21):2154-2161. DOI: 10.16016/j.1000-5404.2202006124.
Ying MIAO, Pan CHEN, Pijun YAN, et al. Association between visceral adiposity index and outcome of prediabetes: report of 1 064 cases[J]. Journal of Third Military Medical University, 2020, 42(21): 2154-2161. DOI: 10.16016/j.1000-5404.2202006124.
目的
2
通过队列研究分析内脏脂肪指数(visceral adiposity index,VAI)与糖尿病前期对象5年转归糖尿病的相关性;并比较VAI、体质量指数(BMI)、腰围(waist circumference
WC)、腰臀比(waist to hip ratio,WHR)预测糖尿病前期对象随访5年转归糖尿病的能力。
方法
2
选取2011年4-11月参与泸州地区2型糖尿病危险因素的动态监测与社区综合防治的流行病学调查研究中基线调查确诊为糖尿病前期人群1 125人,将研究对象按VAI的四分位数(第1四分位数组:0.37~1.29,第2四分位数组:1.30~2.01,第3四分位数组:2.02~3.28,第4四分位数组:3.29~36.12)分为4组,进行为期5年的随访,并观察转归糖尿病的情况。通过单因素及多因素Logistic回归分析VAI对糖尿病前期对象转归糖尿病的影响,并计算ROC曲线下面积,比较VAI、BMI、腰围、腰臀比4个肥胖指标预测糖尿病前期对象转归糖尿病的能力。
结果
2
完成随访的1 064人中,转归为糖尿病者237人;4组对象转归糖尿病的比较结果显示第4四分位组(94人)>第3四分位组(68人)>第2四分位组(46人)>第1四分位组(29人),差异有统计学意义(χ
2
=51.566,
P
<
0.001);Logistic回归分析结果显示:在未调整任何变量,以及调整年龄、性别、身高、收缩压、三酰甘油、高密度脂蛋白胆固醇、吸烟、饮茶的影响后,较高四分位数分组的糖尿病前期对象比较低四分位数分组的研究对象转归糖尿病的风险更高;ROC曲线下面积结果显示在4个不同肥胖指标中,VAI(曲线下面积0.662,
P
<
0.001)大于BMI、WC及WHR曲线下面积。
结论
2
VAI是影响糖尿病前期对象转归糖尿病的危险因素,随着VAI增高,糖尿病前期对象转归为糖尿病的风险增高;VAI用于预测糖尿病前期对象5年转归糖尿病的能力优于BMI、腰围及腰臀比。
Objective
2
To investigate the association of visceral adiposity index (VAI) and 5-year outcome of prediabetes development
and compare its predictive value with other anthropometric indices (BMI
waist circumference and waist hip ratio).
Methods
2
The participants in this cohort study were selected from the epidemiological study of dynamic monitoring of risk factors for type 2 diabetes and integrated community prevention and treatment in Luzhou area from April to November 2011. A total of 1 125 participants with prediabetes were selected from the baseline survey. The subjects were divided into 4 groups according to the quartiles of the VAI (0.37~1.29
1.30~2.01
2.02~3.28
and 3.29~36.12)
and all of them were followed up for 5 years to observe the outcome of prediabetes. Univariate and multivariate logistic regression analyses were used to analyzed the effect of VAI on the outcome
and the areas under the receiver operating characteristic (ROC) curve for VAI
BMI
waist circumference and waist hip ratio were calculated according to different quartiles to determine the predictive power of the indices.
Results
2
Of the 1 064 participants who completed the follow-up
237 developed to diabetes. In the comparison of the subjects developing into diabetes
statistical differences were seen among the 4 groups
with the 4th quartile group (94 cases)
>
the 3rd quartile group (68 cases)
>
the 2nd quartile group (46 cases)
>
the 1st quartile group (29 cases
Chi
-square=51.566
P
<
0.001). Logistic regression analysis showed that after adjustment for any variables and for age
gender
height
systolic blood pressure
triglyceride
high density lipoprotein cholesterol
smoking and tea consumption
the individuals in higher VAI quartile group were more likely to develop to diabetes than those in lower group. The area under the ROC curve for VAI (0.662
P
<
0.001) was significantly greater than those of other adiposity indices.
Conclusion
2
VAI is a risk factor that affects the outcome of prediabetes to diabetes
and may be regarded as a predictor of the outcome. With the increase of VAI
the risk of prediabetes conversion to diabetes increases. VAI is better than BMI
waist circumference and waist hip ratio in predicting the 5-year outcome to diabetes.
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