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Objective: To devise an Italian version of the quick mild cognitive impairment screen (Qmci) and to obtain normative data.Methods: An Italian version of the Qmci screen (Qmci-I) was administered to 307 subjects free from cognitive impairment. The normative sample was divided into three age levels (50-59; 60-69 and 70-80 years) and four education levels (3-5; 6-8; 9-13; >13 years of school attendance). Multiple regression analyses were used to evaluate the effect of age, sex and schooling on Qmci-I scores (overall and by domains) and to calculate cut-off values, with reference to the confidence interval on the fifth centile.Results: The mean Qmci-I score was 64/100 (SD = 11). The age variable showed a significant negative effect on the overall Qmci-I score, with older people performing worse than younger ones. Conversely, education was associated with higher scores. Significant effects of age and education affected logical memory alone. For the other domains, the following effects were found: (1) higher age associated with lower scores on delayed recall; (2) higher education levels associated with higher scores on immediate recall, clock drawing and word fluency. The adjusted cut-off score for the Qmci-I screen in this sample was 49.4. Qmci-I scores were weakly correlated with those of MMSE (rho = 0.20).Conclusions: The Qmci-I is a rapid and multi-domain short cognitive screening instrument useful for evaluating cognitive functions. However, like other screening tools, it is significantly influenced by age and education, requiring normative data and correction of values when used in the clinical practice. [ABSTRACT FROM AUTHOR]

Objectives. The aim of the study was to assess self-reported medication adherence measure in patients selected during a health education and health promotion focused event held in the Campania region. The study also assessed sociodemographic determinants of adherence. Methods. An interviewer assisted survey was conducted to assess adherence using the Italian version of the 8-item Morisky Medication Adherence Scale (MMAS-8). Participants older than 18 years were interviewed by pharmacists while waiting for free-medical checkup. Results. A total of 312 participants were interviewed during the Health Campus event. A total of 187 (59.9%) had low adherence to medications. Pearson’s bivariate correlation showed positive association between the MMAS-8 score and gender, educational level and smoking (P<0.05). A multivariable analysis showed that the level of education and smoking were independent predictors of adherence. Individuals with an average level of education (odds ratio (OR), 2.21, 95% confidence interval (CI), 1.08–4.52) and nonsmoker (odds ratio (OR) 1.87, 95% confidence interval (CI), 1.04–3.35) were found to be more adherent to medication than those with a lower level of education and smoking. Conclusion. The analysis showed very low prescription adherence levels in the interviewed population. The level of education was a relevant predictor associated with that result. [ABSTRACT FROM AUTHOR]