Levels of the n-3 fatty acid eicosapentaenoic acid in addition to those of alpha linolenic acid are significantly raised in blood lipids by the intake of four walnuts a day in humans

Background and aimsIngestion of alpha linolenic acid (ALA), with the richest source among dry fruits such as walnuts, is associated with cardiovascular prevention. The aim of this study was to selectively evaluate the effects of moderate walnut consumption on the levels of ALA and its metabolic derivatives in human blood.Methods and resultsAfter a 2-week run-in period, 10 volunteers consumed 4 walnuts per day (in addition to their habitual diet) for 3 weeks. Fatty acid profiles, with special attention to levels of ALA and long chain polyunsaturated fatty acids (LC-PUFA), were assessed in blood drops collected from fingertips. The data indicate that the administration of a few walnuts a day for 3 weeks significantly increases blood levels, not only of ALA (from 0.23 ± 0.07 SD to 0.47 ± 0.13 SD), but also of its longer chain derivative eicosapentaenoic acids (EPA) (from 0.23 ± 0.37 to 0.82 ± 0.41) with levels remaining elevated over basal values after washout.ConclusionThe findings of this pilot study indicate that plant ALA in appropriate food items favourably affects the n-3 LC-PUFA status.     

Fatty acid profiles of blood lipids in a population group in Tibet: correlations with diet and environmental conditions

The aim of this study was to compare blood fatty acid profiles of two population groups: Italian and Tibetan, differing with regard to ethnic, life style and environmental aspects. Additionally the collection of two staple foods provided the opportunity to analyze typical Tibetan dishes. A new, simple, rapid, and substantially non invasive method for fatty acid (FA) analysis of blood lipids was applied to healthy Italian (n=14) and Tibetan (n=13) subjects. Blood drops obtained from the ear lobe of Tibetans or the fingertip of Italians were adsorbed by a special strip of paper and processed for fatty acid analysis. The fatty acid profiles of the two groups are different, and environmental factors, such as dietary fats and altitudes of Milan, Italy (a low altitude site), and Lhasa, Tibet (a high altitude site) appear to contribute to these differences. More specifically, in Ti-betans higher levels of monounsaturated fatty acids, including the 22 and 24 carbon molecules, were found. This appears to be derived mainly from locally consumed fats (mustard seed oil), and are associated with lower levels of total polyunsaturated fatty acids and higher levels of selected omega 3 fatty acids, when compared to the Italians. These relatively higher levels of monounsaturated fatty acids may also indicate means of adaptation to local prooxidant conditions. The observed differences in blood fatty acid profiles in Tibetans vs. Italians appear to result both from dietary factors and adaptation to local environmental conditions such as the high altitude of the Tibetan location.     

Risk factors for suicide in rural Italy: a case–control study

Purpose

Increased frequency of suicide in rural areas of Tuscany has been described since the 1970s. A case–control study was conducted in 2014 and 2015. The objective of this study was to identify major individual risk factors related to suicides in six rural districts of Tuscany.

Methods

Cases were identified as all 128 suicides occurred in six rural districts between 2009 and 2013. Controls (three for each case) were matched for age, sex, and general practice. Information was collected from GPs using a structured questionnaire. Univariate and multivariate analyses were carried out to investigate the association between individual risk factors and suicide.

Results

Informants for 91 cases of the 128 identified cases were successfully interviewed (response rate 71.1%). About 40.5–65.9% suicide cases and 11.4–20.0% of controls had some psychiatric pathology, accordingly to different definitions. Univariate conditional regression analysis showed that living in isolated houses (OR 2.48), living alone (OR 2.97), not being married (OR 2.63), low income (OR 2.73), psychiatric pathology (OR 9.70), psychotropic medication (OR 5.58), problems with relatives (OR 14.78), psychiatric family history (OR 5.67), and suicidal ideation (OR 15.61) were all risk factors. Practising religion (OR 0.27) was the only protective factor identified. Multivariate regression identified two independently and significantly associated variables namely, psychiatric pathology (OR 8.87) and living alone (OR 2.30).

Conclusions

Results of this study showed, similarly to recent research, that not all suicide events are the results of psychiatric pathology. Prevention strategies should, therefore, target both socio-economic and clinical risk factors.

     

Ecological study of isolation and suicide in Tuscany (Italy)

The purpose of the study was to investigate the association between suicide and demographic and socio-economic measures in Tuscany. Data on standardized rates of suicide from 1997 to 2005 in addition to census-derived variables, income and abstention were derived from the Mortality register, the 2001 Census, the Tax Agency and the Regional Electoral Office databases. Pearson's correlation and stepwise multiple regression analyses (unweighted and weighted by population) were used to analyze the association between suicide rates and demographic and socio-economic measures for the 34 health districts for both males and females. The correlation analyses showed that suicide was significantly associated with many variables in men, but only with old age in women. The multiple regression analyses showed that the best predictors in men were education, single person households and isolated houses (only education and single person households in the weighted model). For women, the best predictors were the proportion of elderly people and income (this was also true for the weighted model, but in the opposite order). An ecological correlation between suicide and measures of economic deprivation and social fragmentation was found in both men and women. Among the best predictors, isolated houses may act as a marker for remoteness and isolation on a small scale.