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:
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.
Association between visceral adiposity index and outcome of prediabetes: report of 1 064 cases
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.
关键词
Keywords
references
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