Italian National Institute of Statistics

Rome, Italy

Italian National Institute of Statistics

Rome, Italy
SEARCH FILTERS
Time filter
Source Type

Fedeli U.,Veneto Region | Grande E.,Italian National Institute of Statistics | Grippo F.,Italian National Institute of Statistics | Frova L.,Italian National Institute of Statistics
World Journal of Gastroenterology | Year: 2017

AIM To analyze mortality associated with hepatitis C virus (HCV) and hepatitis B virus (HBV) infection in Italy. METHODS Death certificates mentioning either HBV or HCV infection were retrieved from the Italian National Cause of Death Register for the years 2011-2013. Mortality rates and proportional mortality (percentage of deaths with mention of HCV/HBV among all registered deaths) were computed by gender and age class. The geographical variability in HCV-related mortality rates was investigated by directly age-standardized rates (European standard population). Proportional mortality for HCV and HBV among subjects aged 20-59 years was assessed in the native population and in different immigrant groups. RESULTS HCV infection was mentioned in 1.6% (n = 27730) and HBV infection in 0.2% (n = 3838) of all deaths among subjects aged ≥ 20 years. Mortality rates associated with HCV infection increased exponentially with age in both genders, with a male to female ratio close to unity among the elderly; a further peak was observed in the 50-54 year age group especially among male subjects. HCV-related mortality rates were higher in Southern Italy among elderly people (45/100000 in subjects aged 60-79 and 125/100000 in subjects aged ≥ 80 years), and in North-Western Italy among middle-aged subjects (9/100000 in the 40-59 year age group). Proportional mortality was higher among Italian citizens and North African immigrants for HCV, and among Sub-Saharan African and Asian immigrants for HBV. CONCLUSION Population ageing, immigration, and new therapeutic approaches are shaping the epidemiology of virusrelated chronic liver disease. In spite of limits due to the incomplete reporting and misclassification of the etiology of liver disease, mortality data represent an additional source of information for surveillance. © 2017 Baishideng Publishing Group Inc. All rights reserved.


Fastelli L.,University of Pisa | Landi C.,Italian National Institute of Statistics | Rovai M.,University of Pisa | Andreoli M.,University of Pisa
Bio-based and Applied Economics | Year: 2017

In recent times there has been a growing awareness of the role of agriculture in providing public goods and services, in particular in less favoured areas. However, since agriculture is an economic activity, its permanence implies that it should be able to generate a satisfactory income for farmers. Where this is not possible, due to natural constraints or adverse economic and market conditions, in order to maintain an adequate use of farmland it is necessary to provide public aid to farmers. In this framework, the design of proper interventions aimed to promote rural development in less favoured areas should be based on a deep knowledge at the farm and territorial level. As regards the territorial level, the RDP zoning [art. 11 Reg. Ce 1698/2005] developed by Member States on the base of the guidelines provided by the European Commission is very often not sufficient to adequately define the territorial characteristics of rural areas. The use of GIS techniques may help to handle this issue by providing a better and more detailed knowledge at the territorial level. Farm level is important insofar as aid effectiveness is usually strongly depending on the type of farm that is receiving it. Thus, a careful selection of beneficiaries could determine a more effective and efficient distribution of resources. This paper aims to provide a spatial analysis of natural constraints and types of farming style in Mugello area and to analyse their relations with CAP aid distribution. Both Single Payment Scheme (SPS) and Rural Development Programme (RDP) payments have been taken into account. The paper combines a GIS analysis of terrain features with the theoretical approach of farming styles. For this purpose, the study integrates several sources of data: the 2010 Italian Agriculture Census, the Tuscany Regional Agency for Payments in Agriculture (ARTEA) database, and land cover data from the database Corine Land Cover (CLC-06), as updated to 2007 by LAMMA (Laboratory for Environment Monitoring and Modelling). A geo-referenced database including socioeconomic attributes of farms, land use, and terrain characteristics has been generated in order to merge information at territorial and farm level. The results of this integrated analysis confirm that Mugello is a very heterogeneous area as regards terrain characteristics despite the fact that it is totally included in less favoured areas. On the other side, farm strategies and economic results seem to be related to entrepreneurial characteristics as much as to natural constraints. The analysis of Pillar I payments and RDP payments for farms located in this mountainous area shows a very complex situation where the strategies implemented by farmers of the strongest farming styles may successfully counteract natural constraints. Besides, in the Authors' opinion, the analyses performed highlight the importance of spatial analysis as a tool for evaluating how public resources are distributed on a territory, thus providing also useful information on the way this distribution could be improved, e.g. for ensuring a higher level of environmental services. © Firenze University Press.


Fritzell S.,Karolinska Institutet | Vannoni F.,Italian National Institute of Statistics | Whitehead M.,University of Liverpool | Burstrom B.,Karolinska Institutet | And 4 more authors.
Health and Place | Year: 2012

This study analyses self-rated health and non-employment and potential synergy effects among lone and couple mothers aged 25-59 in Britain, Sweden and Italy, representing different family policy categories using data from national surveys (2000-2005). Synergy effects on health were calculated by synergy index. Non-employment only marginally contributed to the excess risk of poor health among lone mothers but there were synergy effects between lone motherhood and non-employment in all three countries, producing a higher risk of poor health than would be expected from a simple addition of these exposures. Results are discussed in relation to the different family policy and living contexts. © 2011 Elsevier Ltd.


Francioni F.M.,Foro Italico University of Rome | Figueiredo A.J.,University of Coimbra | Terribili M.,Italian National Institute of Statistics | Tessitore A.,Foro Italico University of Rome
Journal of Sports Sciences | Year: 2016

This study aimed to observe the intraseasonal stability of anthropometric, technical and functional test results in academy soccer players of different age categories. In total, 103 participants (age range: 7.7–13.4 years) by 5 age categories of the same academy were recruited for this study. Players were submitted to a field-test battery comprising 3 anthropometric measurements (body mass, stature and body mass index), 6 soccer technical tests (to assess the ability of ball control, ball control with the head, pass accuracy, shooting accuracy, dribbling and dribbling with pass) and 3 functional tests (countermovement jump with the hands on the hip, countermovement jump with free hands and 15-m linear sprint) that was administered in 4 test sessions during the same season. Though anthropometric results showed a clear increment in each age category across the season, the fluctuation of technical test results depended on age category and test session. Moreover, a significant increase in the results of functional tests was observed in most of the age categories, in particular, for the assessment of lower power limb. In conclusion, collecting repeated intraseason measurements permits the identification of players’ fluctuations of performance across the season and allows coaches to make frequent adjustments of their programmes. © 2015 Taylor & Francis.


Pugliese F.,Italian National Institute of Statistics | Acerbi A.,University of Bristol | Acerbi A.,TU Eindhoven | Marocco D.,University of Plymouth
PLoS ONE | Year: 2015

In this paper we examine the factors contributing to the emergence of leadership in a group, and we explore the relationship between the role of the leader and the behavioural capabilities of other individuals. We use a simulation technique where a group of foraging robots must coordinate to choose between two identical food zones in order to forage collectively. Behavioural and quantitative analysis indicate that a form of leadership emerges, and that groups with a leader are more effective than groups without. Moreover, we show that the most skilled individuals in a group tend to be the ones that assume a leadership role, supporting biological findings. Further analysis reveals the emergence of different "styles" of leadership (active and passive). Copyright: © 2015 Pugliese et al.


Bartoloni E.,Italian National Institute of Statistics | Baussola M.,Catholic University of the Sacred Heart
Economics of Innovation and New Technology | Year: 2016

This paper investigates the role of non-technological innovation on firms' innovation propensity and performance. We note that emphasis on technological innovation alone is misleading, as a firm's decision to undertake technological innovation brings about a more complex and general process which may involve new attitudes regarding organization and market orientation. We analyse the relationship between product and marketing innovation in manufacturing, focusing specifically on the food industry. We propose a bivariate probit model in which product and marketing innovation are estimated taking into account their reciprocal interactions. This enables us to provide more efficient and realistic estimates of a firm's probability of introducing either a new or improved product or a new marketing technique. In addition, the proposed model provides the determinants of such probabilities. © 2015 Taylor & Francis.


This paper explores the possible relationship between Agricultural Productivity (AP) and Land Degradation (LD) in Italy by addressing the importance of socio-environmental conditions on sub-regional scale. Multivariate analyses were carried out in the early 1990s and early 2000s on 784 Local Labour System (LLS) districts exposed to different levels of land vulnerability to degradation. In the early 1990s, AP in northern Italy was positively correlated with labour productivity in agriculture, share of agriculture in total product, and land vulnerability to degradation. During the following years, however, the increase in AP resulted not to be correlated to LD. A reverse pattern was observed in southern Italy, thus suggesting that the growth in AP was accompanied by an increasing level of land vulnerability. Based on these results, specific agro-environmental measures aimed at mitigating LD are discussed.


Frova L.,Italian National Institute of Statistics | Burgio A.,Italian National Institute of Statistics | Battisti A.,Italian National Institute of Statistics
European Journal of Ageing | Year: 2010

This paper studies gender differences in disability free life expectancy (DFLE), taking into account mortality and disability contributions. After analysing the types of disability that account for such differences, it goes on to examine temporal variability and age contributions to mortality and disability variation. The method used is an extension of Arriaga's model proposed by Nusselder. In 2005, disability free life expectancy at age 30 was 46.23 years for men and 48.74 years for women, with a gender difference of 2.51 years. Decomposing this difference we find that the mortality effect is 3.70 years, while the disability effect is negative and equal to -1.19 years. Ten years earlier, in 1994, DFLE at age 30 was 43.24 years for men and 46.55 years for women, with a difference between genders of 3.32 years. This broke down to a mortality effect of 4.33 years and a disability effect of -1.02 years. In conclusion, the gap in DFLE between men and women is narrowing, thanks to the more rapid drop in mortality rates in men. With respect to disabilities women are disadvantaged, although the difference (in both total disability and different types of disability) has been almost stable in recent years. © 2010 Springer-Verlag.


Grippo F.,Italian National Institute of Statistics | Pappagallo M.,Italian National Institute of Statistics | Burgio A.,Italian National Institute of Statistics | Crialesi R.,Italian National Institute of Statistics
Epidemiology Biostatistics and Public Health | Year: 2015

BACKGROUND: Drug-related mortality is a complex phenomenon that has several health, social and economic effects. In this paper trends of drug-induced mortality in Italy are analysed. Two approaches have been followed: the traditional analysis of the underlying cause of death (UC) (data refers to theIstat mortality database from 1980 to 2011), and the multiple cause (MC)analysis, that is the analysis of all conditions reported on the death certificate (data for 2003-2011 period). METHODS: Data presented in this paper are based on the Italian mortality register. The selection of Icd codes used for the analysis follows the definition of the European Monitoring Centre for Drugs and Drug Addiction. Using different indicators (crude and standardized rates, ratio multiple to underlying), the results obtained from the two approaches (UC and MC) have been compared. Moreover, as a measure of association between drug-related causes and specific conditions on the death certificate, an estimation of the age-standardized relative risk (RR) has been used. RESULTS: In the years 2009-2011, the total number of certificates whit mention of drug use was 1,293, 60% higher than the number UC based. The groups of conditions more strongly associated with drug-related causes are the mental and behavioral disorders (especially alcohol consumption), viral hepatitis, cirrhosis and fibrosis of liver, AIDS and endocarditis. CONCLUSIONS: The analysis based on multiple cause approach shows, for the first time, a more detailed picture of the drug related death; it allows to better describe the mortality profiles and to re-evaluate the con-tribution of a specific cause to death. © 2015 Epidemiology Biostatistics and Public Health. All Rights Reserved.


Burgio A.,Italian National Institute of Statistics | Grippo F.,Italian National Institute of Statistics | Pappagallo M.,Italian National Institute of Statistics | Crialesi R.,Italian National Institute of Statistics
Epidemiology Biostatistics and Public Health | Year: 2015

BACKGROUND: The drug abuse has several health, social and economic effects. Hospital discharge records(HDR) collected by the Ministry of Health represent a major source of epidemiological data. In this paper we used this source in order to assess drug abuse hospitalization patterns and trends in Italy by means of the study of comorbidity at discharge. METHODS: Analysis are based on the National HDR Register and refers to data from 1999 to 2011 for the Ital-ian resident population. Two approaches have been followed: the main diagnosisand the comorbidity approach based on the analysis of all diagnoses reported on the HDR. As a measure of the association between drug-related disorders and specific conditions reported, an estimation of age-standardised relative risk (RR) has been used. RESULTS: The number of hospitalizations for drug-related diagnosis declined from 10,968 cases in 1999 to 6,180 in 2011.Using the comorbidity approach we found that in the period 2009-2011 the number of HDR with a mention of drug use is 2.8 times higher than the number based only on the main diagnosis.The conditions more strongly associated to the group of drug users are mental disorders, alcohol abuseand infectious diseases such as HIV disease and viral hepatitis. CONCLUSIONS: These data can provide important information about the epidemiology of drug problems and the impact of drug policies.In addition the strong evidence of association of drug abuse and mental health provides a solid underpinning for planning more coordinated interventions of prevention and public health. © 2015 Epidemiology Biostatistics and Public Health. All Rights Reserved.

Loading Italian National Institute of Statistics collaborators
Loading Italian National Institute of Statistics collaborators