The effect of a non-intensive community-based lifestyle intervention on the prevalence of Metabolic Syndrome. The DEPLAN study in Greece
- 2 Downloads
The aim of the present study was to evaluate the effectiveness of a non-intensive, community-based, lifestyle intervention program on the prevalence of metabolic syndrome (MS), in individuals at high risk for development of type 2 diabetes (T2D).
In accordance with the FINDRISC score, 191 high-risk persons for T2D, 56.3±10.8 years old, participated in a one-year lifestyle intervention program consisting of six bi-monthly sessions with a dietician. MS prevalence was assessed at baseline and one year later.
The intervention was completed by 125 participants. They lost on average 1.0±4.8 kg (p=0.025) (mean±SD) and registered favourable dietary changes. The baseline prevalence of MS was similar among age groups and genders and decreased after one year (from 63.4±48.4% to 54.8±50.0%, p<0.001). In a multiple logistic regression model, younger age (p=0.009), male gender (p=0.004), improvement of the dietary score after one year (p=0.022), a lower FINDRISC score (p=0.033), a lower triglyceride level (p=0.010) and a higher baseline HDL-C level (p=0.003) were significantly and independently associated with improvement in MS status.
A non-intensive lifestyle intervention program to prevent T2D is effective in decreasing the prevalence of MS in individuals at high risk for T2D development, possibly conferring multiple cardiovascular health benefits.
Key wordsLifestyle intervention Metabolic syndrome Type 2 diabetes prevention
- 4.Alberti KG, Zimmet PZ, 1998 Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15: 539–553.Google Scholar
- 5.Balkau B, Charles MA, 1999 Comment on the provisional report from the WHO consultation. European Group for the Study of Insulin Resistance (EGIR). Diabet Med 16: 442–443.Google Scholar
- 9.Alberti KG, Eckel RH, Grundy SM, et al, 2009 Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120: 1640–1645.CrossRefGoogle Scholar
- 22.Schwartz PEH, Lindstrom J, Kissimova-Skarbeck K, et al, on behalf of the DE-PLAN project, 2008 The European perspective of Type 2 diabetes prevention: Diabetes in Europe – Prevention using lifestyle, physical activity and nutritional intervention (DE-PLAN) project. Exp Clin Endocrinol Diabetes 116: 167–172.CrossRefGoogle Scholar
- 25.Kontogianni M, Liatis S, Grammatikou S, Perrea D, Katsilambros N, Makrilakis K, 2012 Changes in dietary habits and their association with metabolic markers after a non-intensive, community-based lifestyle intervention to prevent type 2 diabetes, in Greece. The DEPLAN study. Diabetes Res Clin Pract 95: 207–214.CrossRefGoogle Scholar
- 26.Friedewald WT, Levy RI, Fredrickson DS, 1972 Estimation of the concentration of low density lipoprotein cholesterol in plasma, without use of the preparative ultracentifuge. Clin Chem 18: 499–502.Google Scholar
- 28.Pan XR, Li GW, Hu YH, et al, 1997 Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 20: 537–544.Google Scholar