ArticleBMC endocrine disorders2019
Factors associated with glycemic control in community-dwelling elderly individuals with type 2 diabetes mellitus in Zhejiang, China: a cross-sectional study.
Article in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 35 citations in OpenAlex.
- The novel nutritional metabolic risk index and established triglyceride-glucose indices in type 2 diabetes: modifying role of biological aging assessed by telomere length.Frontiers in nutrition · 2026Article
- Factors associated with poor cardiometabolic control in patients with type 2 diabetes: a Lasso-Firth penalized regression analysis.Frontiers in endocrinology · 2026Article
- Relationship between the triglyceride glucose index and time in range: A cross-sectional study based on patients with type 2 diabetes mellitus.The Journal of international medical research · 2025Article
- Latent class analysis for quality of life status, sleep quality and anxiety in patients with type 2 diabetes.BMC endocrine disorders · 2025Article
- Higher triglyceride-glucose index and triglyceride glucose-body mass index protect against sarcopenia in Chinese middle-aged and older non-diabetic women: a cross-sectional study.Frontiers in public health · 2024Article
- Determinants of glycemic control among persons living with type 2 diabetes mellitus attending a district hospital in Ghana.PloS one · 2024Article
- The hypertension and hyperlipidemia status among type 2 diabetic patients in the community and influencing factors analysis of glycemic control.Diabetology & metabolic syndrome · 2023Article
- Association between initial in-hospital heart rate and glycemic control in patients with acute ischemic stroke and diabetes mellitus.BMC endocrine disorders · 2023Article
- Interaction analysis of lipid accumulation product and family history of diabetes on impaired fasting glucose and diabetes risk in population with normotension in Eastern China: a community-based cross-sectional survey.Archives of public health = Archives belges de sante publique · 2022Article
- Mediation Effect of Self-Efficacy Between Health Beliefs and Glycated Haemoglobin Levels in Elderly Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study.Patient preference and adherence · 2022Article
- The role of non-HDL cholesterol and atherogenic indices in predicting poor glycemic control among type 2 diabetic patients in Basrah, Iraq.Qatar medical journal · 2022Article
- Correlates of Glycemic Control Among Patients With Type 2 Diabetes in Eastern Ethiopia: A Hospital-Based Cross-Sectional Study.Frontiers in endocrinology · 2022Article
- Different Curve Shapes of Fasting Glucose and Various Obesity-Related Indices by Diabetes and Sex.International journal of environmental research and public health · 2021Article
- Predictors of Poor Plasma Glucose Maintenance in Type II Diabetic People with Ophthalmic Complication: The Case of Dessie Hospitals in Ethiopia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Glycemic control and associated factors among Iranian population with type 2 diabetes mellitus: a cross-sectional study.Journal of diabetes and metabolic disorders · 2020Article
- Relationship between Lipid Profiles and Glycemic Control Among Patients with Type 2 Diabetes in Qingdao, China.International journal of environmental research and public health · 2020Article
- Clinical outcomes after cardiac rehabilitation in elderly patients with and without diabetes mellitus: The EU-CaRE multicenter cohort study.Cardiovascular diabetology · 2020Observational
- Prevalence, awareness, treatment, and control of diabetes and hypertension among elderly persons in a rural area of Ballabgarh, Haryana.Journal of family medicine and primary care · 2020Article
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Abstract
backgroundAlthough exercise seems to be beneficial for type 2 diabetes mellitus (T2DM) patients, there is limited research elucidating the optimal accessible indices of adiposity and insulin resistance for identifying elderly T2DM patients with poor glycemic control, which could be improved by performing regular exercise.
methodsA community-based, cross-sectional study was conducted with 918 Chinese elderly individuals with T2DM in Zhejiang. Relevant risk factors for poor glycemic control, as determined using glycated haemoglobin A1c (HbA1c) > 7%, were explored using logistic regression analyses and included body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), fasting blood glucose (FBG), triglycerides (TGs), total cholesterol (TC), the product of fasting triglycerides and glucose (TyG), visceral adiposity index (VAI), lipid accumulation product (LAP), TyG-BMI, and TyG-WC. Comparisons of the risk factors' ability to discriminate poor glycemic control as well as their optimal cutoff values were determined using receiver operating characteristic (ROC) analyses, and then the extent of poor glycemic control risk reduction through regular exercise was examined using multivariate logistic regression analyses.
resultsThe overall poor glycemic control rate was 49.3%. The factors associated with poor glycemic control included FBG > 3.869, TyG > 8.73, TyG-BMI > 222.45, and TyG-WC > 713.48 in logistic regression analyses. The optimal cutoff points of FBG, TyG, TyG-WC, and TyG-BMI in discriminating poor glycemic control were 7.38, 9.22, 813.33, and 227.77, and their corresponding areas under the ROC curves were 0.864(0.840-0.886), 0.684(0.653-0.714), 0.604(0.571-0.635), and 0.574(0.541-0.606), respectively. Occasional and regular exercise reduced the odds ratios (95% confidence interval) of poor glycemic control to 0.187 (0.063-0.557) and 0.183 (0.059-0.571) for subjects with TyG-WC > 813.33 (p = 0.008), to 0.349 (0.156-0.782) and 0.284 (0.123-0.652) for subjects with TyG > 9.22 (p = 0.011), and to 0.390 (0.175-0.869) and 0.300(0.130-0.688) for subjects with TyG-BMI > 227.77 (p = 0.017), respectively, after adjusting for multiple confounding factors.
conclusionAmong elderly individuals with T2DM, poor glycemic control risk might be identified using indices calculated from FBG, TG, BMI, and WC measurements, which are indicative of adiposity and insulin resistance. TyG-WC seems to be an accessible and useful indicator to identify which elderly T2DM patients would benefit from performing regular exercise to achieve good glycemic control.
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