Adherence to a Mediterranean type of diet in the world: a geographical analysis based on a systematic review of 57 studies with 1,125,560 participants.

This systematic review aimed to assess the level and time-trends of adherence to Mediterranean-type diets (MTD) among the general population, globally. According to Preferred Reporting Items for Systematic Reviews and Meta-Analyses, a comprehensive literature search of the MEDLINE and Scopus databases was carried out, until 04/09/2023, based on specific criteria. Fifty-seven studies with 1,125,560 apparently healthy adults from Europe (n = 37), US (n = 8), Asia (n = 8), Australia (n = 4) and Africa (n = 1) were included. Adherence to an MTD was moderate with a significant decline observed in the last decade. European countries, mainly driven by Mediterranean countries, showed higher adherence than other regions. Geographical analysis revealed that adherence to an MTD is related to both geographic location and socioeconomic status throughout the world.

A historical geospatial database of the island of Cyprus in the 1960s.

Historical data on land cover/use and road networks are important not only for cultural heritage preservation in the context of digital humanities, but also for understanding the evolution of landscapes and human infrastructures aimed at efficient management of land systems. In this manuscript, we present a spatial database that contains basic background layers of the island of Cyprus in the 1960s. These data are derived from the topographic map of Cyprus produced in the 1960s and published in 1969. They were acquired after the digitization of the K715 map series (1:50,000) of the Corps of Engineers of the U.S. Army Map Service (hereafter "K715 map") [1]. The database consists of the following vector layers: a) land use/land cover, b) road network, c) coastline, d) settlements, and covers the entire area of the island (9,251 km2). The road network is divided into six categories and the land use/land cover into thirty-three different types according to the legend of the original map. In addition, the 1960 census was included in the database to assign population data to settlement entities (towns or villages). This census was the last census of the total population under the same authority and method, since Cyprus was divided into two parts five years after the map was published and as a result of the Turkish invasion. Therefore, the dataset can be used not only for cultural and historical preservation purposes, but also to measure the different development of the landscapes that fell under a different political status since 1974.

Exploring the spatial patterns of soil salinity and organic carbon in agricultural areas of Lesvos Island, Greece, using geoinformation technologies.

The salt-affected soils national map of Greece was recently made available within the initiative of the Global Soil Partnership (GSP) of Food and Agriculture Organization of the United Nations FAO. The present study explores the development of higher resolution soil property maps included in this national scale product adopting a modified version of the FAO methodology and a logistic regression (LR) method based on ground and satellite data. Furthermore, it also investigates the correlation between saline soils and soil organic carbon (SOC) using geospatial analysis methods. The island of Lesvos in Greece has been selected as a case study. A probabilistic model for saline soils in the agricultural land of Lesvos is produced by exploiting geoinformation technologies. As a result, the spatial distribution of saline soils in the croplands of Lesvos was obtained. Indicatively, areas with p > 0.80 for the occurrence of saline soils accounting for ∼20% of a total area of 169.51 km2 of the croplands in Lesvos. The Nagelkerke R2 coefficient showed that the probabilistic model interprets 11.3% of the variance of the dependent variable from the independent factors. The model accuracy was assessed adopting the receiver operating characteristic (ROC) curve, which showed a reasonable adaptability with area under curve (equal to 0.73). The methodological approach proposed herein can support decision-making on agricultural land protection and planning activities which are key priority today due to environmental instability, food security, and climate change.

COVID-19 Mortality in Europe, by Latitude and Obesity Status: A Geo-Spatial Analysis in 40 Countries.

On 30 January 2020, the World Health Organization (WHO) declared the current novel coronavirus disease 2019 (COVID-19) as a public health emergency of international concern and later characterized it as a pandemic. New data show that excess body mass and vitamin D deficiency might be related to the disease severity and mortality. The aim of this study was to evaluate whether latitude, as a proxy of sunlight exposure and Vitamin D synthesis, and prevalent obesity among European populations, is related to COVID-19 spread and severity. European COVID-19 data (incidence and fatality), including information on the prevalence of obesity, social distancing, and others were obtained by the "Our World in Data" website on 17 April 2021. Adjusted analysis showed that higher COVID-19 incidence and fatality were pictured in countries being in higher latitude, both during the whole period, as well as, during the time period 1 November 2020-31 March 2021. Higher incidence and fatality of COVID-19 were observed where the prevalence of overweight/obesity was higher during the whole time period, whereas during the time period 1 November 2020-31 March 2021, only COVID-19 incidence was higher but not a fatality. The present results provide insights for targeted interventions and preventive strategies against COVID-19.

The relationship of the built and food environments with the metabolic syndrome in the Athens metropolitan area: a sex-stratified spatial analysis in the context of the ATTICA epidemiological study.

PURPOSE: The built and food environments are widely acknowledged to play an important role in defining human health by influencing, among others, behaviors such as nutrition habits and physical activities. The aim of this study was to identify the spatial variability of the sex-specific prevalence of the metabolic syndrome (MetS) and its environmental determinants in the Athens metropolitan area. METHODS: Data on the prevalence of the MetS were provided by the ATTICA epidemiological study for 2749 participants, with complete data for geographical identification (1375 women [44 years old {SD = 14 years}] and 1374 men [45 years old {SD = 13 years}]), while socioeconomic, demographic, and environmental characteristics were provided by official national and international databases. RESULTS: Approximately 20% of the people residing in the study area were diagnosed with MetS, with its prevalence being almost two times higher in men compared to women. Areas more extensively covered by green urban spaces and sports facilities were shown to have a lower prevalence of MetS, while greater density and availability of supermarkets and street markets were inversely related to MetS prevalence in both sexes. In addition, the present analysis revealed that the beneficial role of the built environment's characteristics on MetS prevalence was significantly stronger in the male population, while the preventive effect of the food environment's characteristics was almost 1.5 times stronger in the female population CONCLUSION: Although individualized prevention and treatment approaches are necessary to decrease the burden of MetS, environmental modifications that promote healthy behaviors represent an essential health approach.

The impact of socioeconomic and environmental determinants on Mediterranean diet adherence: a municipal-level spatial analysis in Athens metropolitan area, Greece.

The aim of this study was to identify the geographical variability, the socio-economic and the environmental determinants of adherence to the Mediterranean diet in a general population sample. Level of adherence to the Mediterranean diet was estimated by the ATTICA epidemiological study for 2,749 participants, while socio-economic, demographic, and environmental characteristics were provided by official national and international databases. Higher adherence to the Mediterranean diet was detected in areas with a greater proportion of females and older people, with lower unemployment rate and immigrant population, as well as, in areas covered at a greater extent by green and with higher frequency of supermarkets and street markets. The present findings provide evidence for policy makers to better understand how layers of influence intersect to shape individuals' eating habits, while they may also contribute in identifying areas of emerging interventions needed.

Identifying determinants of obesity in Athens, Greece through global and local statistical models.

Individual socioeconomic status is linked to obesity risk, though, less is known about the influence of an area's socio-environmental conditions on obesity/overweight prevalence. This association was investigated using obesity/overweight data collected from 2445 individuals in Athens greater area, who were randomly enrolled in ATTICA study, during 2001 to 2002, and factors related to educational and economic level, population density, immigrants and green urban areas. Thematic mapping illustrated the socio-environmental status and highlighted the obesity/overweight prevalence across the municipalities of Athens. Global statistical models revealed that high socio-environmental status, educational and economic level were inversely associated with obesity/overweight (p < 0.001). Furthermore, local Geographically Weighted Regression revealed spatial non-stationarity in the relationship between green urban areas and obesity/overweight. The findings of the study lead to the better understanding of the factors affecting obesity/overweight and may support the development of policies that target to well-being, decrease of obesity/overweight prevalence and improvement of public health.

Association of Socio-Environmental Determinants with Diabetes Prevalence in the Athens Metropolitan Area, Greece: A Spatial Analysis.

OBJECTIVES: The aim of this study was to investigate the spatial variation of diabetes in relation to the geographical variability of socio-environmental characteristics in the urban districts of Athens. METHODS: A sample of 2,445 individuals from the greater area of Athens was randomly enrolled in the ATTICA study between 2001 and 2002. Diabetes was defined according to American Diabetes Association criteria. Geographical and statistical analyses were applied to examine the relationship between diabetes prevalence and factors related to education, economic status, population density, immigrant status, and availability of urban green areas. Diabetes prevalence and socio-environmental factor mapping was based on the Geographic Information Systems (GIS) technology. Variograms and spatial quasi-Poisson regression analysis evaluated the associations of diabetes with the socio-environmental variables at the municipal level. RESULTS: According to the geographical analysis and mapping, the highest proportions of people with diabetes were found in the West sector and in one district of the East and South sector each. Regression analysis revealed that the proportion of inhabitants with higher education is negatively correlated with diabetes prevalence in the regional areas of Athens. CONCLUSIONS: The study revealed that socio-environmental status in residential areas, especially educational and economic levels, is correlated with diabetes prevalence at the aggregate level. These correlations may reflect socio-economic segregation patterns at the district level, and different prevalence rates of diabetes among individuals with higher income and educational levels.

High relative environmental humidity is associated with diabetes among elders living in Mediterranean islands.

BACKGROUND: Climate variation has long been studied in relation to human health. The aim of the present work was to evaluate the relationship between environmental humidity, and air temperature with the prevalence of diabetes, among elderly islanders. METHODS: During 2005-2011, 1959 elderly (aged 65 to 100 years) individuals from 13 Mediterranean islands were enrolled. Socio-demographic, clinical and lifestyle factors were assessed using standard procedures. Diabetes was defined as fasting blood glucose levels > 125 mg/dl. Relative environmental humidity was measured as a percentage of air moisture and mean daily temperature in degrees Celsius. RESULTS: For the present analysis 713 men (74 ± 7 years) and 596 women (73 ± 7 years) with complete data were studied; 27% of both men and women had diabetes. The prevalence of diabetes was 42% in the elders living in high relative humidity areas (i.e., >70%) as compared with 24% among those living at low relative humidity residential areas (p < 0.001). After adjusting for age, sex and mean temperature, an increase in the area's relative humidity by 1 degree, increased the likelihood of having diabetes by 12% (OR = 1.12, 95% CI 1.05 to 1.20). No significant association was observed between mean temperature and diabetes (OR = 0.97, 95% CI 0.74, 1.26). CONCLUSIONS: A considerable proportion of elderly, especially those living in high relative humidity areas, had diabetes. Further research is needed to confirm this observation and to understand the underlying mechanisms.

Health care access and prevalence of the metabolic syndrome among elders living in high-altitude areas of the Mediterranean islands: the MEDIS study.

AIM: The aim of the present work was to evaluate the relationships between sociodemographic, clinical, and lifestyle characteristics and the presence of metabolic syndrome, among high and low altitude living elderly individuals without known CVD. METHODS: During 2005-2011, 1959 elderly (aged 65 to 100 years) individuals from 13 Mediterranean islands were enrolled. Sociodemographic, clinical, and lifestyle factors were assessed using standard procedures. Metabolic syndrome was defined according to the (Adult Treatment Panel) ATP III criteria. Mountainous areas were defined those more than 400 meters in height. RESULTS: For the present analysis 713 men and 596 women were studied; the prevalence of the metabolic syndrome was 29% (24% in men, 35% in women, p < 0.001). Furthermore, the prevalence of metabolic syndrome was 55% in the elders living in mountainous areas, as compared with 26% among those living at sea-level (p = 0.01). Similarly, the prevalence of hypertension, hypercholesterolemia, and obesity were higher in high altitude as compared with low altitude areas (all p-values < 0.01). After adjusting for various confounders, elders living in high altitude areas were 3.06-times more likely to have the metabolic syndrome than those living at sea-level (OR = 3.06, 95%CI 2.02-4.65). However, when the annual number of visits to health care centers was taken into account, the effect of altitude of living was not associated with the presence of the syndrome. CONCLUSIONS: A considerable proportion of mountainous living elderly had the metabolic syndrome. Public health actions need to be taken to reduce the burden of cardiometabolic disorders by enabling better access to health care, especially in remote mountainous rural areas.

Identification of the four most common beta-globin gene mutations in Greek beta-thalassemic patients and carriers by PCR-SSCP: advantages and limitations of the method.

In the present study we investigated whether the single-strand conformational polymorphism (SSCP) method could be employed to identify (rather than simply detect) the four most common beta-globin gene mutations in the Greek population: IVS-I-110, Cd39, IVS-I-1, and IVS-I-6. Using DNA from 50 beta-thalassemic patients and carriers, we amplified by PCR the appropriate 238-bp region of the human beta-globin gene, analyzed the reaction products by nondenaturing polyacrylamide gel electrophoresis, and visualized the bands by silver staining. Single-stranded DNA (ssDNA) fragments showed a reproducible pattern of bands that was characteristic of the mutations present. With the use of control samples containing six of the 10 possible combinations of the four most common beta-globin gene mutations, we were able to predict the mutations present in a quarter of the patients studied. Our predictions were confirmed independently by the amplification refractory mutation system (ARMS) method. We conclude that this non-radioactive PCR-SSCP method can be used to reliably identify mutations in patients, provided that suitable controls are available. Moreover, the method is easy to apply to the identification of mutations in carriers, which makes it particularly useful for population screening.