A prospective population based study of childhood injuries: the Velestino town study

Background: Unintentional injuries in childhood constitute a significant public health problem. Our purpose is to estimate the incidence of identifiable unintentional childhood injuries of any type and severity, and to document risk factors of non-transient nature. Methods: We have undertaken a prospective population-based investigation in a Greek town with a population of 748 children (0-14 years old). All identifiable injuries have been monitored during a twelve-month period through information provided by the health care outlets or educational institutions as well as the police station and the regional hospital. Results: The overall incidence was 28.2 per 100 person-years (95% confidence interval from 24.4 to 32.0), whereas the incidence of injuries with Hopkins Injury Severity Score equal to or higher than four was 6.3 with 95% confidence interval 4.5 to 8.1. The incidence of total injuries was higher among boys than among girls (p < 0.01) and the gender difference was particularly evident among older children. Almost half of the injuries were due to falls and more than 20% were due to cutting. Children of younger and less educated parents have higher risk for injury and children from families with more injuries were more likely to be injured themselves. There was no evidence that somatometric characteristics were associated with injury risk. Conclusion: The incidence of unintentional childhood injuries is high and represents a considerable health burden. Family related variables are important risk factors for childhood injuries, whereas somatometric characteristics play a minimal role

Cognitive impairment and dietary habits among elders: The velestino study

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. © Mary Ann Liebert, Inc

Impact of body mass index on the age of relapsing-remitting multiple sclerosis onset: A retrospective study

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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland