High incidence of type 2 diabetes in a population with normal range body mass index and individual prediction nomogram in Vietnam
| Autor: | Chung Nguyen Thanh, Linh Duong Tuan, Thuyen Tran Quang, Tung Do Dinh, Phuong Pham Tran, Ngoc Nguyen Anh, Nhung Bui Thi, Nga Bui Thi Thuy, Binh Tran Quang |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Waist Time Factors Endocrinology Diabetes and Metabolism Population Body Mass Index Endocrinology Risk Factors Internal Medicine Medicine Humans Prospective Studies education education.field_of_study Proportional hazards model business.industry Incidence (epidemiology) Incidence Hazard ratio nutritional and metabolic diseases Anthropometry Nomogram Middle Aged Nomograms Diabetes Mellitus Type 2 ROC Curve Vietnam Population Surveillance Female business Body mass index Demography Follow-Up Studies |
| Zdroj: | Diabetic medicine : a journal of the British Diabetic AssociationREFERENCES. 39(2) |
| ISSN: | 1464-5491 |
| Popis: | AIMS The study aimed at determining 5-year incidence and prediction nomogram for new-onset type 2 diabetes (T2D) in a middle-aged population in Vietnam. METHODS A population-based prospective study was designed to collect socio-economic, anthropometric, lifestyle and clinical data. Five-year T2D incidence was estimated and adjusted for age and sex. Hazard ratio (HR) for T2D was investigated using discrete-time proportional hazards model. T2D prediction model entering the most significant risk factors was developed using the multivariable logistic-regression algorithm. The corresponding prediction nomogram was constructed and checked for discrimination, calibration and clinical usefulness. RESULTS The age- and sex-adjusted incidence was 21.0 cases (95% CI: 12.2-40.0) per 1000 person-years in people with mean BMI of 22.2 (95% CI: 21.9-22.7 kg/m2 ). The HRs (95% CI) for T2D were 1.14 (1.05-1.23) per 10 mmHg systolic blood pressure, 1.05 (1.03-1.08) per 1 cm waist circumference, 1.40 (1.13-1.73) per 1 mmol/L fasting blood glucose, 1.77 (1.15-2.71) per sleeping time ( |
| Databáze: | OpenAIRE |
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