摘自：BMJ Open: first published as 10.1136/bmjopen-2018-028652 on 10 August 2019.
作者：Chunli Bi,1 Lijuan Wang,2 Chong Sun,1 Mengzi Sun,1 Pingping Zheng,1
Zhiqiang Xue,1 Li Shen,1 Pan Pan,1 Jiagen Li,1 Yaogai Lv,1 Anning Zhang,1 Bo Li,1
Xinyao Zhang,3 Yan Yao, 1 Lina Jin
ABSTRACT
Objective Traditionally, the absence of insulin resistance risk factors (IRRFs) was considered a low risk for insulin resistance (IR). However, IR also existed in certain individuals without IRRFs; thus this study aims to explore predictors of IR targeted at the population without IRRFs.
Design Cross-sectional survey.
Setting National Health and Nutrition Examination Survey.
Participants Participants without regular IRRFs (IRRFFree, n=2478) and a subgroup without optimal IRRFs (IRRF-Optimal, n=1414) were involved in this study.
Primary and secondary outcome measure IRRFs and the optimal cut-off value of triglyceride (TG) to predict IR.
Results Overall, the prevalence of IR was 6.9% and 5.7% in the IRRF-Free group and the IRRF-Optimal group, respectively. TG and waist circumference were independently associated with the prevalence of IR in boththe groups (OR=1.010 to 10.20; p<0.05 for all), where TG was positively associated with IR. The area under the receiver operating characteristic curve of TG was 0.7016
(95% CI: 0.7013 to 0.7018) and 0.7219 (95% CI: 0.7215 to 0.7222), and the optimal cut-off value of TG to predict IR was 79.5 mg/dL and 81.5 mg/dL in the IRRF-Free group and the IRRF-Optimal group, respectively.
Conclusion There is an association between TG and IR even in the normal range of TG concentration. Therefore, normal TG could be used as an important indicator to predict the prevalence of IR in the absence of IRRFs.
