A F G Cicero1, A Dormi, S Nascetti, M P Panourgia, E Grandi, S D'Addato, A Gaddi. 1. Atherosclerosis Research Centre GC Descovich, Clinical Medicine and Applied Biotechonology, Department D. Campanacci S. Orsola-Malpighi Hospital, University of Bologna, Italy. afgcicero@cardionet.it
Abstract
AIM: The aim of this study was to evaluate and quantify the role of different risk factors in the long-term development of Type 2 diabetes mellitus in a rural Italian population. METHODS: The Brisighella Heart Study (BHS; 1972-2003) is a prospective, population-based longitudinal epidemiological cohort involving 2939 randomly selected subjects, aged 14-84 years, resident in the rural Italian town of Brisighella. For this study, we randomly selected 1441 adult subjects representative of the Brisighella population; consecutively visited during three BHS surveys. A step-wise Cox regression analysis determined the prognostic significance of each independent risk factor for the development of Type 2 diabetes in the 8-year long follow-up. RESULTS: Blood pressure, high-density lipoprotein cholesterol, triglycerides, physical activity, total energy intake, and drug treatment had no effect on the incidence of diabetes. Age was a significant predictor of Type 2 diabetes when inserted alone in the model (P = 0.007), but irrelevant when adjusted for baseline body mass index (BMI) and or fasting plasma glucose. Among these with impaired fasting glucose (IFG), the diabetes incidence/year was estimated to be 6.6% for men and 11.2% for women (P < 0.001). Basal glycaemia under 6.1 mmol/l were not significant long-term predictors of diabetes development, while higher basal glycaemia and each level BMI were. CONCLUSION: Our findings confirm that IFG and BMI predict Type 2 diabetes development in our population. This should help to identify effective approaches to prevention.
AIM: The aim of this study was to evaluate and quantify the role of different risk factors in the long-term development of Type 2 diabetes mellitus in a rural Italian population. METHODS: The Brisighella Heart Study (BHS; 1972-2003) is a prospective, population-based longitudinal epidemiological cohort involving 2939 randomly selected subjects, aged 14-84 years, resident in the rural Italian town of Brisighella. For this study, we randomly selected 1441 adult subjects representative of the Brisighella population; consecutively visited during three BHS surveys. A step-wise Cox regression analysis determined the prognostic significance of each independent risk factor for the development of Type 2 diabetes in the 8-year long follow-up. RESULTS: Blood pressure, high-density lipoprotein cholesterol, triglycerides, physical activity, total energy intake, and drug treatment had no effect on the incidence of diabetes. Age was a significant predictor of Type 2 diabetes when inserted alone in the model (P = 0.007), but irrelevant when adjusted for baseline body mass index (BMI) and or fasting plasma glucose. Among these with impaired fasting glucose (IFG), the diabetes incidence/year was estimated to be 6.6% for men and 11.2% for women (P < 0.001). Basal glycaemia under 6.1 mmol/l were not significant long-term predictors of diabetes development, while higher basal glycaemia and each level BMI were. CONCLUSION: Our findings confirm that IFG and BMI predict Type 2 diabetes development in our population. This should help to identify effective approaches to prevention.
Authors: Lesley F Tinker; Gloria E Sarto; Barbara V Howard; Ying Huang; Marian L Neuhouser; Yasmin Mossavar-Rahmani; Jeannette M Beasley; Karen L Margolis; Charles B Eaton; Lawrence S Phillips; Ross L Prentice Journal: Am J Clin Nutr Date: 2011-11-09 Impact factor: 7.045
Authors: Benjamin J Gray; Richard M Bracken; Daniel Turner; Kerry Morgan; Michael Thomas; Sally P Williams; Meurig Williams; Sam Rice; Jeffrey W Stephens Journal: Br J Gen Pract Date: 2015-11-05 Impact factor: 5.386
Authors: W P Jia; C Pang; L Chen; Y Q Bao; J X Lu; H J Lu; J L Tang; Y M Wu; Y H Zuo; S Y Jiang; K S Xiang Journal: Diabetologia Date: 2006-12-16 Impact factor: 10.122
Authors: Jack A Yanovski; Jonathan Krakoff; Christine G Salaita; Jennifer R McDuffie; Merel Kozlosky; Nancy G Sebring; James C Reynolds; Sheila M Brady; Karim A Calis Journal: Diabetes Date: 2011-01-12 Impact factor: 9.461
Authors: N G Forouhi; B Balkau; K Borch-Johnsen; J Dekker; C Glumer; Q Qiao; A Spijkerman; R Stolk; A Tabac; N J Wareham Journal: Diabetologia Date: 2006-03-09 Impact factor: 10.122