Association between normal triglyceride and insulin resistance in US adults without other risk factors: a cross-sectional study from the US National Health and Nutrition Examination Survey, 2007–2014
Bo Li,
Chunli Bi,
Lijuan Wang,
Chong Sun,
Mengzi Sun,
Pingping Zheng,
Zhiqiang Xue,
Li Shen,
Pan Pan,
Jiagen Li,
Yaogai Lv,
Anning Zhang,
Xinyao Zhang,
Yan Yao,
Lina Jin
Affiliations
Bo Li
1Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan, China
Chunli Bi
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Lijuan Wang
Department of Nursing, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
Chong Sun
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Mengzi Sun
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Pingping Zheng
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Zhiqiang Xue
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Li Shen
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Pan Pan
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Jiagen Li
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Yaogai Lv
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Anning Zhang
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
Xinyao Zhang
3 Department of Social Medicine and Health Management, Jilin University School of Public Health, Changchun, China
Yan Yao
State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People`s Republic of China
Lina Jin
1 Key Laboratory of Zoonosis Research & Department of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, China
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 (IRRF-Free, 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 both the 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.