ArticleFrontiers in endocrinology2021
Optimal Threshold of Homeostasis Model Assessment of Insulin Resistance to Identify Metabolic Syndrome in a Chinese Population Aged 45 Years or Younger.
Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
- Review
- Association of pre-pregnancy abnormal glucose metabolism and insulin resistance with assisted reproductive technology outcomes and pregnancy complications in women with PCOS: a retrospective propensity score matching study.BMC pregnancy and childbirth · 2026Article
- Associations of continuous glucose monitor derived time in range and glycaemic variability with diet lifestyle and demographics.Nature communications · 2026Article
- Nonlinear association between serum insulin, visceral fat area, and kidney function in female with type 2 diabetes: a retrospective study.Frontiers in endocrinology · 2026Article
- Associations between metabolic dysfunction-associated fatty liver disease and carotid and femoral atherosclerosis: a population-based cross-sectional study.Lipids in health and disease · 2025Article
- Diagnostic Potential of Volatile Organic Compounds in Detecting Insulin Resistance Among Taiwanese Women.Diagnostics (Basel, Switzerland) · 2025Article
- The role of impaired adipogenesis in insulin resistance among non-obese individuals.Frontiers in physiology · 2025Article
- The correlation between HOMA-IR and cardiometabolic risk index among different metabolic adults: a cross-sectional study.Acta diabetologica · 2025Article
- Observational
- Plasma lipids and glycaemic indices in australians following plant-based diets versus a meat-eating diet.Lipids in health and disease · 2024Article
- Insulin resistance-related circulating predictive markers in the metabolic syndrome: a systematic review in the Iranian population.Journal of diabetes and metabolic disorders · 2024Review
- Waist-to-height ratio and body roundness index: superior predictors of insulin resistance in Chinese adults and take gender and age into consideration.Frontiers in nutrition · 2024Article
- Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study.Lipids in health and disease · 2023Article
- [Value of C-peptide-based insulin resistance index for evaluating correlation between insulin resistance and serum uric acid level in individuals undergoing health examination].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- Predictive Factors of Menstrual Recovery After Laparoscopic Sleeve Gastrectomy in Polycystic Ovary Syndrome Women with Obesity.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Metabolic syndrome (MetS) is regarded as a major risk factor for diabetes mellitus and cardiovascular disease (CVD). The optimal threshold of the homeostasis model assessment of insulin resistance (HOMA-IR) has been established for predicting MetS in diverse populations and for different ages. This study assessed the serum HOMA-IR level in a healthy Chinese population aged ≤45 years to determine its relationship with metabolic abnormalities. Methods: Cross-sectional study data were collected from health checkup records of Chinese adults aged ≥18 years between 2013 and 2016 at Xiamen Chang Gung Hospital. Participants completed a standardized questionnaire, which was followed by a health examination and blood sample collection. Exclusion criteria were as follows: history of known CVDs; liver, kidney, or endocrine diseases or recent acute illness; hypertension; hyperlipidemia; and pregnancy or lactation. Results: The clinical and laboratory characteristics of 5954 men and 4185 women were analyzed. Significant differences were observed in all assessed variables (all P < 0.05). The optimal cutoff point of HOMA-IR for predicting MetS was 1.7 in men and 1.78 in women. Conclusions: We aimed to determine the optimal cutoff point of HOMA-IR for predicting MetS in a healthy Chinese population aged ≤45 years. The findings of this study would provide an evidence-based threshold for evaluating metabolic syndromes and further implementing primary prevention programs, such as lifestyle changes in the target population.
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