Glucose Indices, Health Behaviors, and Incidence of Diabetes in Australia
Author:
Magliano Dianna J.1, Barr Elizabeth L.M.1, Zimmet Paul Z.1, Cameron Adrian J.1, Dunstan David W.1, Colagiuri Stephen2, Jolley Damien3, Owen Neville4, Phillips Patrick5, Tapp Robyn J.1, Welborn Tim A.6, Shaw Jonathan E.1
Affiliation:
1. International Diabetes Institute, Caulfield, Victoria, Australia 2. Institute of Obesity, Nutrition and Exercise, University of Sydney, Sydney, NSW, Australia 3. Monash Institute of Health Services Research, Clayton, Victoria, Australia 4. Cancer Prevention Research Centre, The University of Queensland, Herston, Queensland, Australia 5. Department of Endocrinology, The Queen Elizabeth Hospital, South Australia, Australia 6. Department of Medicine, University of Western Australia, Nedlands, Western Australia, Australia
Abstract
OBJECTIVE—This national, population-based study reports diabetes incidence based on oral glucose tolerance tests (OGTTs) and identifies risk factors for diabetes in Australians.
RESEARCH DESIGN AND METHODS—The Australian Diabetes, Obesity and Lifestyle Study followed-up 5,842 participants over 5 years. Normal glycemia, impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and diabetes were defined using World Health Organization criteria.
RESULTS—Age-standardized annual incidence of diabetes for men and women was 0.8% (95% CI 0.6–0.9) and 0.7% (0.5–0.8), respectively. The annual incidence was 0.2% (0.2–0.3), 2.6% (1.8–3.4), and 3.5% (2.9–4.2) among those with normal glycemia, IFG, and IGT, respectively, at baseline. Among those with IFG, the incidence was significantly higher in women (4.0 vs. 2.0%), while among those with IGT, it was significantly higher in men (4.4 vs. 2.9%). Using multivariate logistic regression, hypertension (odds ratio 1.64 [95% CI 1.17–2.28]), hypertriglyceridemia (1.46 [1.05–2.02]), log fasting plasma glucose (odds ratio per 1 SD 5.25 [95% CI 3.98–6.92]), waist circumference (1.26 [1.08–1.48]), smoking (1.70 [96% CI 1.11–2.63]), physical inactivity (1.56 [1.12–2.16]), family history of diabetes (1.82 [1.30–2.52]), and low education level (1.85 [1.04–3.31]) were associated with incident diabetes. In age- and sex-adjusted models, A1C was a predictor of diabetes in the whole population, in those with normal glycemia, and in those with IGT or IFG.
CONCLUSIONS—Diabetes incidence is 10–20 times greater in those with IGT or IFG than those with normal glycemia. Measures of glycemia, A1C, metabolic syndrome components, education level, smoking, and physical inactivity are risk factors for diabetes.
Publisher
American Diabetes Association
Subject
Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine
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