To investigate the association of dietary habits with cognitive function among elders (>65 years). Complete sociodemographic, dietary information, serum measurements, and Mini-Mental State Examination (MMSE) assessments were available for 237 elderly men and 320 women residing in Velestino, Greece (a rural Greek town). All models were adjusted for age, education, social activity, smoking, depression symptomatology (using the Geriatric Depression Scale), MedDietScore (range 0-55), and metabolic syndrome. About 49.8% men and 66.6% women had MMSE scores <24, with a mean MMSE score of 22.7±4.43 and 21.1±4.73, respectively. Adherence to the Mediterranean diet was moderate (mean MedDietScore of 34.1±3.25 in men and 35.1±2.48 in women). Indicative cognitive impairment (MMSE score <24) was positively associated with age and low education in women and with depressive symptoms, low education status, and low social activity in men. Adherence to the Mediterranean diet was positively associated with MMSE score in men (P=.02), but inversely associated in women (P=.04). Concerning the food groups studied, intake of pulses, nuts, and seeds was associated with lower likelihood of having MMSE score<24 in men (P=.04). Only the Mediterranean dietary pattern showed a significant association with MMSE score positive for cognitive impairment (i.e., protective in men, but not in women), while individual food groups or nutrients did not achieve significance. The latter findings support the role of whole diet in the prevention of mental disorders, and state a research hypothesis for a sex-diet interaction on cognitive function among elders.
Incidence and risk factors of all injuries in a population-based study among children. About 28 per 100 children got injured over a period of one year. There is evidence that younger paternal age and lower education may be associated with increased injury risk. Family related variables seem to be important risk factors for childhood injuries, whereas somatometric characteristics play minimal role.
Minimal secular changes in childhood leukaemias/lymphomas have been noted recently in the EU-27, which cannot be easily explained in countries with small populations. Therefore, centralised EU databases such as the Automated Childhood Cancer Information System (ACCIS) should be enlarged to generate sufficient statistical power for monitoring time trends. It would be interesting to explore whether different lifestyle patterns across the EU might be responsible for the observed excess leukaemia incidence in countries such as Greece.
A BACKROUND: Multiple sclerosis (MS) is a complex chronic disease of the central nervous system (CNS). Body mass index (BMI), a component of metabolic syndrome (MetS), is considered among the risk factors for MS. However, its role in MS remains ambiguous. OBJECTIVE: To examine the impact of BMI on the age of onset in patients with relapsing-remitting MS (RRMS) in a Greek cohort. METHODS: Data from 821 Greek patients with RRMS were collected. The BMI values were considered as quartiles. Comparisons for the demographic characteristics between the quartiles were made by Pearson’s chi-square test for the categorical variables and by ANOVA for the continuous variables. An overall p-value was calculated corresponding to trend for association. In case of significant association, further post-hoc analysis was performed in order to identify differences in demographic characteristics between specific BMI quartiles groups. Linear regression analyses were used to assess the relationship between BMI and age at onset of MS. RESULTS: Comparisons of participant characteristics by quartiles of BMI revealed that participants with the highest BMI had an older age of disease onset. Results from linear regression analysis showed that with each increase of 1 BMI unit, the age of RRMS onset increases by 0.255 (95% CI 0.136 to 0.374) years, p < 0.001. CONCLUSIONS: Patients with higher BMI, as a parameter of MetS, exhibit increased age of RRMS onset. Our results may present an alternative personalized approach for diagnosis, prognosis, and/or prevention of RRMS.
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