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Villanova d'Asti, Italy

Bo S.,University of Turin | Milanesio N.,University of Turin | Schiavone C.,University of Turin | Villois P.,University of Turin | And 4 more authors.
Nutrition | Year: 2011

Objective: Observational studies suggest that some trace elements and magnesium (Mg) improve glucose metabolism, markers of inflammation, and oxidative stress, but supplementation studies have yielded inconsistent results. Our objective was to evaluate whether a lifestyle intervention trial, aimed at reducing total and saturated fat and increasing fiber intake, can affect also the intake of selenium (Se), zinc (Zn), copper (Cu), chromium (Cr), and Mg. Methods: Dietary intake of Se, Cr, Zn, Cu, and Mg was evaluated at baseline and at the end of a lifestyle intervention trial performed in 335 dysmetabolic adults. Results: At baseline, trace element and Mg intake in the intervention (n = 169) and control (n = 166) groups of the trial were not significantly different. The former significantly increased their intake of Se, Mg, and Cr, while the latter reduced the intake of Mg, Zn, and Cr. Between-group differences were significant for Mg, Cr, and Se. Conclusion: Healthier lifestyle recommendations might improve the pattern of micronutrient and Mg intake, which might play an independent role in ameliorating some metabolic, inflammatory, and oxidative markers. © 2011 Elsevier Inc. Source


Bo S.,University of Turin | Ciccone G.,University of Turin | Durazzo M.,University of Turin | Ghinamo L.,University of Turin | And 6 more authors.
International Journal of Obesity | Year: 2011

Objective:Relatively unexplored contributors to the obesity and diabetes epidemics may include sleep restriction, increased house temperature (HT), television watching (TW), consumption of restaurant meals (RMs), use of air conditioning (AC) and use of antidepressant/antipsychotic drugs (ADs).Design and Subjects:In a population-based cohort (n1597), we investigated the possible association among these conditions, and obesity or hyperglycemia incidence at 6-year follow-up. Subjects with obesity (n315) or hyperglycemia (n618) at baseline were excluded, respectively, 1282 and 979 individuals were therefore analyzed.Results:At follow-up, 103/1282 became obese; these subjects showed significantly higher body mass index, waist circumference, saturated fat intake, RM frequency, TW hours, HT, AC and AD use, and lower fiber intake, metabolic equivalent of activity in h per week (METS) and sleep hours at baseline. In a multiple logistic regression model, METS (odds ratio0.94; 95% confidence interval (CI) 0.91-0.98), RMs (odds ratio1.47 per meal per week; 1.21-1.79), being in the third tertile of HT (odds ratio2.06; 1.02-4.16) and hours of sleep (odds ratio0.70 per h; 0.57-0.86) were associated with incident obesity. Subjects who developed hyperglycemia (n174/979; 17.8%) had higher saturated fat intake, RM frequency, TW hours, HT, AC and AD use at baseline and lower METS and fiber intake. In a multiple logistic regression model, fiber intake (odds ratio0.97 for each g per day; 0.95-0.99), RM (1.49 per meal per week; 1.26-1.75) and being in the third tertile of HT (odds ratio1.95; 1.17-3.26) were independently associated with incident hyperglycemia.Conclusions:Lifestyle contributors to the obesity and hyperglycemia epidemics may be regular consumption of RM, sleep restriction and higher HT, suggesting potential adjunctive non-pharmacological preventive strategies for the obesity and hyperglycemia epidemics. © 2011 Macmillan Publishers Limited All rights reserved. Source


Ceriello A.,Insititut dInvestigacions Biomediques August Pi i Sunyer IDIBAPS | Barkai L.,University of Miskolc | Christiansen J.S.,Aarhus University Hospital | Czupryniak L.,Medical University of Lodz | And 12 more authors.
Diabetes Research and Clinical Practice | Year: 2012

As non-communicable or chronic diseases are a growing threat to human health and economic growth, political stakeholders are aiming to identify options for improved response to the challenges of prevention and management of non-communicable diseases. This paper is intended to contribute ideas on personalized chronic disease management which are based on experience with one major chronic disease, namely diabetes mellitus.Diabetes provides a pertinent case of chronic disease management with a particular focus on patient self-management. Despite advances in diabetes therapy, many people with diabetes still fail to achieve treatment targets thus remaining at risk of complications. Personalizing the management of diabetes according to the patient's individual profile can help in improving therapy adherence and treatment outcomes. This paper suggests using a six-step cycle for personalized diabetes (self-)management and collaborative use of structured blood glucose data. E-health solutions can be used to improve process efficiencies and allow remote access. Decision support tools and algorithms can help doctors in making therapeutic decisions based on individual patient profiles. Available evidence about the effectiveness of the cycle's constituting elements justifies expectations that the diabetes management cycle as a whole can generate medical and economic benefit. © 2012 Elsevier Ireland Ltd. Source


Bo S.,University of Turin | Musso G.,Gradenigo Hospital | Gambino R.,University of Turin | Villois P.,University of Turin | And 4 more authors.
American Journal of Clinical Nutrition | Year: 2012

Background: There are few prospective data on the prognosis of insulin-sensitive and insulin-resistant normal-weight (NW) or obese individuals. Objectives: The estimated liver fat content, incidences of hyperglycemia and cardiovascular disease, and all-cause and cardiovascular mortality rates were investigated in a population-based cohort of 1658 individuals who were categorized according to BMI and insulin resistance as defined by HOMA-IR values ≥2.5 and the presence of metabolic syndrome. Design: This was a prospective cohort study with a 9-y follow-up. Anthropometric values, blood pressure, and blood metabolic variables were measured, and information on vital status was collected from demographic files at follow-up. Results: A total of 137 of 677 NW individuals (20%) were classified as insulin resistant and normal weight (IR-NW), and 72 of 330 obese individuals (22%) were classified as insulin sensitive and obese (IS-obese). Incidences of diabetes, impaired fasting glucose, and cardiovascular events were 0.4%, 6.3%, and 3.3%, respectively, in insulin-sensitive and normal-weight (IS-NW) individuals (reference category); 5.8%, 10.2%, and 6.6%, respectively, in IR-NW individuals; and 5.6%, 8.3%, and 8.3%, respectively, in IS-obese individuals. In a multiple logistic regression model, risks of incident hyperglycemia and cardiovascular events increased in both groups compared with in the reference category [HR (95% CI): 2.54 (1.42, 4.55) and 1.98 (0.86, 4.54) in IR-NW subjects; 2.16 (1.01, 4.63) and 2.76 (1.05, 7.28) in IS-obese subjects]. The estimated liver fat content significantly increased during follow-up only in the IR-NW group in the same model. Cardiovascular mortality was 2-3-fold higher in IR-NW and IS-obese than in IS-NW individuals in a Cox regression model. Conclusions: Our data refute the existence of healthy obese phenotypes because IS-obese individuals showed increased cardiometabolic risk. The existence of unhealthy NWphenotypes is supported by their increased risk of incident hyperglycemia, fatty liver, cardiovascular events, and death. © 2012 American Society for Nutrition. Source


Donadon V.,Internal Medicine 3rd | Balbi M.,Internal Medicine 3rd | Mas M.D.,Internal Medicine 3rd | Casarin P.,Internal Medicine 3rd | Zanette G.,Diabetic Clinic
Liver International | Year: 2010

Background:: Previous studies have reported the association between type 2 diabetes mellitus (DM2) and hepatocellular carcinoma (HCC). Aims:: To explore the relationships among DM2, antidiabetic therapy and HCC risk. Methods:: We recruited 610 HCC patients compared with 618 matched cirrhotic patients and 1696 Controls. The odds ratio (OR) for HCC in diabetic subjects treated with insulin, sulphonylureas and metformin was calculated. Results:: DM2 prevalence was 31.2% in HCC, 23.3% in cirrhotic patients and 12.7% in Controls (P<0.0001). The OR for HCC in diabetic HCC patients vs Controls was 3.12 [confidence interval (CI) 2.40-3.90; P<0.001] in univariate analysis and 2.50 (CI 1.70-3.69; P<0.0001) in multivariate analysis. Comparing diabetic HCC patients vs liver cirrhosis (LC) cases, univariate analysis showed an OR for HCC of 2.09 (CI 1.50-2.90; P<0.001), whereas on multivariate analysis we found an OR of 1.46 (CI 1.07-1.98; P=0.02). In 84% of the cases, type 2 diabetes mellitus has been present before the HCC diagnosis. Multivariate analysis showed that metformin treatment was associated with a strong and statistically significant reduction of the risk of HCC, as compared with the use of sulphonylureas or insulin, in diabetic HCC patients vs Controls and vs LC cases (OR of 0.15; CI 0.04-0.50; P=0.005 and OR=0.16; CI 0.06-0.46; P=0.0006 respectively). Conclusions:: Our study shows that DM2 is an independent risk factor for HCC and pre-exists to HCC occurrence. In DM2 patients with HCC, metformin therapy is associated with a reduced HCC risk and seems to have a protective effect on HCC development. © 2010 John Wiley & Sons A/S. Source

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