ArticleJournal of diabetes investigation2017
Analysis of risk factors and their interactions in type 2 diabetes mellitus: A cross-sectional survey in Guilin, China.
Article in Journal of diabetes investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The correlation between traditional Chinese medicine constitution and prediabetes: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Prevalence and risk factors of hyperuricemia and gout in patients with type 2 diabetes mellitus: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Pooled it
- Hyperuricemia in heart failure with preserved ejection fraction: pathophysiological insights and therapeutic perspectives - a narrative review.Annals of medicine and surgery (2012) · 2026Review
- Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025Review
- Gender differences in the prevalence, correlated factors and comorbidity of depression in adolescents: a cross-sectional study in Shanghai, China.Frontiers in public health · 2024Article
- Smokeless Tobacco Use and Its Association with Type 2 Diabetes: A Case Control Study.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Integrated statistical and machine learning analysis provides insight into key influencing symptoms for distinguishing early-onset type 2 diabetes.Chronic diseases and translational medicine · 2022Article
- A Meta-Analysis of the Association between Diabetes Mellitus and Traditional Chinese Medicine Constitution.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Establishment of a Risk Prediction Model for Non-alcoholic Fatty Liver Disease in Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020Article
- The discovery of novel predictive biomarkers and early-stage pathophysiology for the transition from gestational diabetes to type 2 diabetes.Diabetologia · 2019Article
- Incidence of type 2 diabetes mellitus and prediabetes in Kerala, India: results from a 10-year prospective cohort.BMC public health · 2019Article
- Hematopoietically expressed homeobox gene is associated with type 2 diabetes in KK Cg-AExperimental and therapeutic medicine · 2018Article
- Physiological functions and pathogenic potential of uric acid: A review.Journal of advanced research · 2017Review
- Autophagy and its link to type II diabetes mellitus.BioMedicine · 2017Article
- Analysis of risk factors and their interactions in type 2 diabetes mellitus: A cross-sectional survey in Guilin, China.Journal of diabetes investigation · 2017Article
- Nonalcoholic Fatty Liver Disease and Associated Metabolic Risks of Hypertension in Type 2 Diabetes: A Cross-Sectional Community-Based Study.International journal of endocrinology · 2017Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
AIMS/
introductionType 2 diabetes is a metabolic disease characterized by insulin resistance, and is associated with the effects of genetic and environmental factors. The present study aimed to not only analyze the influence of a single factor for type 2 diabetes, but also to investigate the interaction effects between risk factors. MATERIALS AND
methodsA total of 6,660 individuals selected by the method of cluster random sampling accepted a cross-sectional survey (questionnaire investigation, physical measurement, laboratory examination and liver ultrasound examination). The classification tree was used to analyze the risk factors and their interactions in type 2 diabetes. The clinical and metabolic characteristics were compared between type 2 diabetes patients and controls, and the non-conditional logistic regression model was used to quantitatively analyze the interactions.
resultsA total of 338 participants were classified as type 2 diabetes (217 men and 121 women), the classification tree model showed three variables with close associations with type 2 diabetes: age, triglycerides (TG) and non-alcoholic fatty liver disease (NAFLD). Type 2 diabetes patients had higher age and incidences of high TG, NAFLD, hypertension, high body mass index, high uric acid, high total cholesterol, high low-density lipoprotein cholesterol and low high-density lipoprotein cholesterol. The multivariate logistic regression analysis showed that the following factors had interactions in type2 diabetes: high TG × advanced age (odds ratio 2.499, 95% confidence interval 1.868-3.344, P = 0.000), NAFLD × advanced age (odds ratio 1.250, 95% confidence interval 1.048-1.491, P = 0.013) and NAFLD × high TG (odds ratio 1.349, 95% confidence interval 1.144-1.590, P = 0.000).
conclusionsThe present study showed that type 2 diabetes resulted from the interactions of many factors; the interactions among age, TG and NAFLD are important risk factors for type 2 diabetes.
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