Association of obesity and diabetes with thyroid nodules.

AIM: There are conflicting data concerning the possibility that obesity and diabetes raise the risk of thyroid nodules. The incidence of thyroid nodules is increasing, as is that of obesity and diabetes; therefore, understanding whether these metabolic and nutritional disorders influence nodular thyroid disease is important for organizing prevention strategies. This study investigated the association between thyroid nodules, obesity, diabetes, and dietary habits. MATERIALS AND METHODS: A cohort of randomly selected adults (455 males, 746 females; age: 18-90 years) living in Palermo (Italy), a mild iodine deficiency area, was cross-sectionally investigated. Participants underwent high-resolution ultrasonographic evaluation of the thyroid, and answered a food frequency questionnaire. Laboratory blood measurements were obtained in 587 participants. RESULTS AND DISCUSSION: Thyroid nodules were detected in 475 (39.5%) participants. The number of thyroid nodules was correlated with age (r = 0.19; P < 0.001), gender (r = 0.08; P = 0.005), and body mass index (r = 0.07; P = 0.02). No significant correlation was observed between the number of nodules and glycated hemoglobin, serum insulin concentrations, and homeostasis model assessment of insulin resistance. Age-adjusted and gender-adjusted prevalence of both overweight/obesity and type 2 diabetes of each group of participants divided according to the number of nodules significantly increased with the number of nodules (P < 0.05 in both cases). The group of participants with nodules exhibited a significantly lower age-adjusted and gender-adjusted habitual intake of milk (P = 0.02). Multivariate regression analysis showed that age, gender, body mass index, diabetes, and habitual consumption of milk were independently correlated with presence of thyroid nodules. CONCLUSION: This study seems to indicate that an association exists between obesity, diabetes, and thyroid nodules.

Nutritional predictors of mortality after discharge in elderly patients on a medical ward.

BACKGROUND: Malnutrition in elderly inpatients hospitalized on medical wards is a significant public health concern. The aim of this study was to investigate nutritional markers as mortality predictors following discharge in hospitalized medical elderly patients. MATERIALS AND METHODS: This is a prospective observational cohort study with follow-up of 48 months. Two hundred and twenty-five individuals aged 60 and older admitted from the hospital emergency room in the past 48 h were investigated at the medical ward in the University hospital in Palermo (Italy). Anthropometric and clinical measurements, Mini-nutritional Assessment (MNA) questionnaire, bioelectrical (BIA) phase angle (PA), grip strength were obtained all within 48 h of admission. Mortality data were verified by means of mortality registry and analysed using Cox-proportional hazard models. RESULTS: Ninety (40%) participants died at the end of follow-up. There were significant relationships between PA, MNA score, age and gender on mortality. Patients in the lowest tertile of PA (< 4·6°) had higher mortality estimates [I vs II tertile: hazard ratio (HR) = 3·40; 95% confidence interval (CI): 2·01-5·77; II vs III tertile: HR = 3·83; 95% CI: 2·21-6·64; log-rank test: χ(2) = 43·6; P < 0·001]. Similarly, the survival curves demonstrated low MNA scores (< 22) were associated with higher mortality estimates (HR = 1·85; 95% CI: 1·22-2·81 χ(2) = 8·2; P = 0·004). CONCLUSIONS: The MNA and BIA-derived phase angle are reasonable tools to identify malnourished patients at high mortality risk and may represent useful markers in intervention trials in this high-risk subgroup.

Validation of a food frequency questionnaire for use in Italian adults living in Sicily.

The objective of this study was to validate two interviewer-led food frequency questionnaires (FFQs) of very different lengths: a medium-length FFQ (medium-FFQ) of 36 items and a short-length FFQ (short-FFQ) of 18 items, intending to measure levels of intakes in a local population. Both FFQs were validated against intakes derived from a 3-day dietary record (3-day DR). Sixty-five non-diabetic adults with no known cardiovascular, renal or other systemic diseases were included. High correlation coefficients between the FFQ and the 3-day DR (0.45-0.73) were observed for energy intake, carbohydrates and lipid and protein intake. Bland-Altman plots showed good agreement between the methods. Low (0.26-0.37) correlation coefficients of the different nutrient intakes obtained with the short-FFQ and the 3-day DR were observed, with the exception of alcohol intake (rho = 0.49). This study showed promising evidence for the use of a medium-FFQ as a potentially useful tool for investigating the relationship between habitual diet and diseases in clinical and research settings.