Food insecurity is the limited or uncertain availability of nutritionally adequate and safe foods or limited or uncertain ability to acquire foods in socially acceptable ways. The study presents a comparison of the principal determinants of individual food insecurity in Europe and other Continents, with particular regard to gender, since the literature clearly states the importance of women in the administration of food in the household. The study of gender related differences in food insecurity is particularly important in Europe, since women experience food insecurity at a larger extent than men, but with a variability related to the geographical distribution and with complex relationships with economic and social drivers. Using a large international sample of individual level data, that allows the analysis for developed Countries for the first time, and the first experiential measure of food insecurity comparable at the global level, the paper analyses the principal determinants of gender differences in food insecurity. In order to verify if women’s vulnerability in food insecurity is moderated by specific factors, the modelling approach allows gender to vary by education, poverty, place of residence. The results suggest that the driver that could most mitigate women disadvantage is education: people with a university degree present a lower probability of experiencing food insecurity, both for men and for women. On the contrary, familial characteristics, such as the number of children in the household, present a higher impact on women’s food insecurity than on men’s.

In order to provide useful tools for researchers in the design of actions to promote participation in web surveys, it is key to study the characteristics that define the profile of a “web respondent”, so that specific interventions can be planned. In this contribution, which draws on data collected during the 2019 housing population census in Italy, we define the set of familial and geographical characteristics that correspond to a greater probability that the interviewed household will choose to respond online, by estimating a multilevel model. The profile of a “computer-assisted web interview household” (CAWI-H) is then defined, on the basis of the structural characteristics of this population. Moreover, the geographical distribution of households is studied according to their distance from the CAWI-H profile. The results show that households that are more distant from the CAWI-H profile have characteristics that correspond to segments of the population generally affected by economic and social fragility; they are mainly elderly, foreigners, residents in small towns, and people with a low level of education. It is to these households in particular that survey designers can address specific actions that can enhance their willingness to participate in web surveys.

This study examines the spatial and temporal evolution of obesity among adults in Italian regions. In Italy, regional administrative areas are responsible for providing health services. Moreover, Italian regions present different socioeconomic conditions and health and nutritional habits. As a result, a regional analysis of the spatiotemporal evolution of obesity allows the identification of key areas for prevention and control, enabling the design of more targeted and effective interventions. In this study, the geographic clustering of obesity in Italy was explored by analyzing the local spatial autocorrelation of regional-level prevalence rates of adulthood obesity between 2010 and 2022, updating and expanding the existing literature. Data from the Health For All repository are analyzed to determine distribution patterns and trends, employing choropleth maps, Moran’s Index and Welch’s t-test. Gender inequalities have been underlined both in the spatial and temporal distribution. Results show that obesity exhibits spatial clustering, with greater severity in the south. During the period under analysis, obesity prevalence rates in Italy show a tendency to grow, with a sharp increase during the COVID-19 lockdown.