ArticleCardiovascular diabetology2023
Association of variability in metabolic parameters with the incidence of type 2 diabetes: evidence from a functional community cohort.
Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis.The Journal of clinical endocrinology and metabolism · 2024Pooled it
- Research progress on the correlation between blood pressure variability and hypertensive microvascular disease.Frontiers in cardiovascular medicine · 2026Review
- Review
- Association of long-term remnant cholesterol with the incidence of chronic kidney disease in a high-risk population.Hormones (Athens, Greece) · 2025Article
- Metabolic syndrome parameters' variability and stroke incidence in hypertensive patients: evidence from a functional community cohort.Cardiovascular diabetology · 2024Article
- The relationship between HbA1c control pattern and atherosclerosis progression of diabetes: a prospective study of Chinese population.Diabetology & metabolic syndrome · 2024Article
- Trajectories of Remnant Cholesterol are Associated with Diabetic Foot Ulcer in Adult Patients with Type 2 Diabetes: A Retrospective Cohort Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo investigate the association of variability in metabolic parameters such as total cholesterol concentrations (TC), uric acid (UA), body mass index (BMI), visceral adiposity index (VAI) and systolic blood pressure (SBP) with incident type 2 diabetes (T2D) and whether variability in these metabolic parameters has additive effects on the risk of T2D.
methodsBased on the Beijing Functional Community Cohort, 4392 participants who underwent three health examinations (2015, 2016, and 2017) were followed up for incident T2D until the end of 2021. Variability in metabolic parameters from three health examinations were assessed using the coefficient of variation, standard deviation, variability independent of the mean, and average real variability. High variability was defined as the highest quartile of variability index. Participants were grouped according to the number of high-variability metabolic parameters. Cox proportional hazards models were performed to assess the hazard ratio (HR) and 95% confidence interval (CI) for incident T2D.
resultsDuring a median follow-up of 3.91 years, 249 cases of incident T2D were identified. High variability in TC, BMI, VAI and SBP was significantly associated with higher risks of incident T2D. As for UA, significant multiplicative interaction was found between variability in UA and variability in other four metabolic parameters for incident T2D. The risk of T2D significantly increased with the increasing numbers of high-variability metabolic parameters. Compared with the group with low variability for 5 parameters, the HR (95% CI) for participants with 1-2, 3, 4-5 high-variability metabolic parameters were 1.488 (1.051, 2.107), 2.036 (1.286, 3.222) and 3.017 (1.549, 5.877), respectively. Similar results were obtained in various sensitivity analyses.
conclusionsHigh variability of TC, BMI, VAI and SBP were independent predictors of incident T2D, respectively. There was a graded association between the number of high-variability metabolic parameters and incident T2D.
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