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The United Nations Social Development Goals ensure the achievement of food security by 2030. Food security is characterized by various aspects, however in this study we focus on economic vulnerability to food insecurity. In particular, we compared two measures: food insecurity levels as defined by the Integrated food security phase classification Global-Partners quantitative scale and those defined by the Latin American and Caribbean Food Security qualitative scale. The qualitative scale only measures nutritional status using specific questions, regardless of food expenditures, while the quantitative scale is based on the share of consumer expenditure spent on food (the ratio between food expenditure and total expenditure). From our analysis on 2018 Mexico data—therefore unaffected by the pandemic—59% of discrepancies were found between the two measures. The qualitative scale does not classify people who spend too much on food as being food insecure, so they are economically vulnerable about housing, healthcare and other important aspects of social life (access to food generate insecurity). The quantitative scale does not identify people who do not have access to high-quality nutrition because they must pay for other fixed expenses, for example for housing or healthcare. These two measures depict two aspects of economic vulnerability to food insecurity, and here we quantify this difference in a developing country. Future research should be at integrating these two aspects into one single indicator based on food and non-food expenditures, so to take into account both the two aspects by using only consumption expenditure data. [ABSTRACT FROM AUTHOR]

The UN Sustainable Development Goals have set clear targets on global poverty, hunger and malnutrition to be achieved by 2030, which have prompted academics and policymakers to identify useful strategies and drivers. Moreover, the COVID19 pandemic has exacerbated inequalities at national and sub-national levels thus hampering the achievement of these goals. On considering the multifaceted nature of poverty, a recent research strand focuses on food poverty and insecurity issues in terms of economic access to food and healthy diet consumption, with moderate and extreme food insecurity affecting almost 9% of the population in Europe and North America. This paper aims to analyse food poverty and insecurity at regional level in Italy. Using micro-data from the Italian Household Budget Survey carried out by ISTAT, an analytical approach was proposed to define and measure the different degree of food poverty and insecurity. Moreover, to obtain insights into whether food poverty and insecurity can afford population healthy nutrition, inequality of the distributions of food expenditure categories are estimated. The results provided us with information on other important aspects of the poverty. Indeed, in Italy individuals who are at-risk-of-food-poverty or food insecure amount to 22.3% of the entire population. Furthermore, the at-risk-of-food-poverty-rate varies at regional level from 14.6% (Umbria) to 29.6% (Abruzzo), with high levels of food consumption inequalities observed above all for vegetables, meat and fish. All these issues could help policy makers to define economic intervention policies aimed at reducing social exclusion and achieving more equitable and sustainable living conditions for the entire population. [ABSTRACT FROM AUTHOR]

Suicide is a leading cause of death among adolescents and is recognized as a serious public health problem. This study aimed to investigate the relationship between family characteristics and the risk of suicide among adolescents in Italy using nationwide official data. We carried out a cohort study based on the record linkage between the 15th Italian Population Census, the Italian Population Register, and the National Register of Causes of Death. Suicides in adolescents aged 10–19 years from 2012 to 2016 were analyzed. Hazard ratios of mortality from suicide were estimated through a multivariable Cox regression model using time-on-study as the time scale. We included 8,284,359 children and adolescents (51% males, 49% females). Over the 5-year follow-up, we registered 330 deaths from suicides (74% males), mostly occurred in the age class 15–19 years (86%). The suicide rate was 1.71 per 100,000 person-years among males and 0.65 among females. We found some familial characteristics associated with a higher risk of dying by suicide, including: living in single-parent or reconstructed families (among boys), a 40-year or more age gap between mother and child (among girls), having highly educated parents, an age difference between parents greater than 5 years. Furthermore, the study showed a lower risk for boys living in urban areas and for both boys and girls living in South Italy. Our results could help in identifying adolescents at high risk of suicide who could benefit from the planning of targeted intervention strategies. [ABSTRACT FROM AUTHOR]

When using small area estimation models, the presence of outlying observations in the response and/or in the auxiliary variables can severely affect the estimates of the model parameters, which can in turn affect the small area estimates produced using these models. In this paper we propose an M-quantile estimator of the small area mean that is robust to the presence of outliers in the response variable and in the continuous auxiliary variables. To estimate the variability of this estimator we propose a non-parametric bootstrap estimator. The performance of the proposed estimator is evaluated by means of model- and design-based simulations and by an application to real data. In these comparisons we also include the extension of the Robust EBLUP able to down-weight the outliers in the auxiliary variables. The results show that in the presence of outliers in the auxiliary variables the proposed estimator outperforms its traditional version that takes into account the presence of outliers only in the response variable. [ABSTRACT FROM AUTHOR]

A bone healing assessment is crucial for the successful treatment of fractures, particularly in terms of the timing of support devices. However, in clinical practice, this assessment is only made qualitatively through bone manipulation and X-rays, and hence cannot be repeated as often as might be required. The present study reconsiders the quantitative method of frequency response analysis for healing assessments, and specifically for fractures treated with an external fixator. The novelty consists in the fact that bone excitation and response are achieved through fixator pins, thus overcoming the problem of transmission through soft-tissues and their damping effect. The main objective was to develop and validate a test procedure in order to characterize the treated bone. More than 80 tests were performed on a tibia phantom alone, a phantom with pins, and a phantom with a complete fixator. Different excitation techniques and input-output combinations were compared. The results demonstrated the effectiveness of a procedure based on impact tests using a micro-hammer. Pins and fixator were demonstrated to influence the frequency response of the phantom by increasing the number of resonant frequencies. This procedure will be applied in future studies to monitor healing both in in vitro and in vivo conditions. [ABSTRACT FROM AUTHOR]

Household consumption expenditure represents a crucial measure to be used for assessing individuals' material living conditions and well-being. Indeed, the analysis of household conditions can provide policy makers with a clear picture of the economic and social situation of the area in which they are operating. However, official sample surveys which are generally used for this purpose, such as the Household Budget Survey in Italy carried out by the National Institute of Statistics, do not allow for reliable disaggregated estimates thus hindering appropriate and effective planning and evaluation of political interventions at local level. By referring to the 2012 Italian Household Budget Survey, this paper aims at obtaining reliable provincial estimates of household consumption expenditure in Italy. We use Small Area Estimation methods and we adjust the estimates for spatial differences in price levels by computing and using sub-national Purchasing Power Parities, thus obtaining 'real' estimates of consumption expenditure to be used for intra-national comparisons. [ABSTRACT FROM AUTHOR]

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