Decreasing trends in air pollution in the metropolitan area of Rome: an analysis of 15 years (1999-2013).

Urban air pollution is associated with a wide range of acute and chronic health effects. The objective of the present study was to examine trends (1999-2013) of air pollutant concentrations in the urban area of Rome and to assess the relationship between the concentrations of these pollutants. A statistically significant decreasing trend over time of NO2, PM10, benzene CO concentrations was observed. In particular, the most relevant decreases were found for benzene and for CO. Analysis of the correlation between pollutants showed that Pearson's correlation coefficients of pollutants were positive. Time trend analysis showed a significant improvement of air quality in Rome in the last years that may be attributable to improvements in car, truck and bus motor technologies and to the application of Green Infrastructure planning.

Socioeconomic differences in tobacco smoking in Italy: is there an interaction between variables?

OBJECTIVES: To assess the influence of sociodemographic factors on smoking habits in Italy and if an interaction exists between these variables. METHODS: Data from the national survey "Health Conditions and Healthcare Services Use" in 2005 were used. The independent association between tobacco smoking and sociodemographical variables was assessed using logistic regression analysis. Interactions between variables were investigated calculating the synergism index (SI). RESULTS: Sample population consists of 109.829 subjects (over 15 years). 21.9% are current and 21.8% are former smokers. Current smokers are mostly 45-54-years old males, from Central Italy, unemployed, divorced or separated but having a good health status without chronic medical conditions. Ever smokers are mostly 45-54 years old males, from Northeast Italy, unemployed, with chronic conditions. People with a university degree and with a good household income have the lowest OR for both conditions. A synergistic effect was found between marital status and educational level (for ever smokers SI = 1.96; for current smokers SI = 1.67). CONCLUSIONS: Smoking is prevalent in lower socioeconomic groups and there is the strong need to increase social, economic and cultural capital in order to reduce it.

Variation of atmospheric emissions within the road transport sector in Italy between 1990 and 2016.

The concentration of road transport emissions impacts on air quality, is responsible for climate change and increases the average temperatures. The aim of this study was to analyze the trends of atmospheric emissions within the road transport sector in Italy between 1990 and 2016. A principal component analysis (PCA) was carried out to investigate the pollutants that showed similar trends over time. The Kendall's rank correlation coefficient was studied to establish the statistically dependent variables. Finally, a joinpoint regression analysis was performed to evaluate the time-trends of pollutants' emissions. The Pearson's correlation coefficients were positive for all pollutants except for CO2, that demonstrated an inverse relationship with CH4 (-0.07), NOx (-0.089) and NMVOC (-0.128); NO2 demonstrated inverse relationship with all other pollutants. According to the main component analysis, most pollutants were assimilable in their behavior, except for NO2, CO2 and N2O. The joinpoint analysis describes a general decrease of emissions over time with exception of N2O, NO2 and CO2, that showed different trends. This study shows that road traffic-related emissions in Italy, between 1990 and 2016, recorded significant reductions for most of the recorded pollutants. However, CO2 and N2O maintained a stable trend while NO2 showed an increasing trend.

[Socio-demographic determinants of physical activity in Italy]. / Determinanti socio-demografici dell'attività fisica in Italia.

A cross-sectional study was performed to evaluate the determinants of physical activity in Italy, by analysing data from the Italian Institute of Statistics (ISTAT) study regarding the health status and use of health services of the Italian population in the years 1999-2000. Multiple logistic regression analysis of data highlighted a lower propensity of women, smokers, ex-smokers, and individuals with a lower educational level, to engage in physical activity. These data are useful for planning targeted prevention strategies.

Socio-demographic inequalities and teeth extraction in the last 12 months in Italy.

AIMS: Teeth loss represents a major concern for the global oral health status of a population. The aim of this study was to describe the prevalence of teeth extraction among the Italian adult population, analyzing the association between teeth extraction in the last 12 months and socio-demographic characteristics. METHODS: This cross-sectional study is based on the national survey 'Health Conditions and Healthcare Services Use', carried out by the Italian National Centre of Statistics (ISTAT) in 2005. A univariate analysis was performed to investigate the association between the dependent and the independent variables (teeth extraction Vs socio-demographic characteristics). Multiple logistic regression analysis was conducted to assess the influence on the outcome (teeth extraction Yes/No). RESULTS: The present study highlights the relationship between teeth extraction and socio-demographic factors. Out of 128,040 individuals, the sampled population consisted of 124,677 subjects, representing 56,400,323 individuals in the Italian population. The prevalence of teeth extraction in the last 12 months was 8.2%. Subjects who underwent teeth extraction in the last 12 months were prevalent female (8.6%), smokers (10.4%), with a primary education (9.2%), married (9.2%), in poor health conditions (9.3%), age category of 55-64 years (11.1%), from Northeast of Italy (8.5%), with scarce household income (8.4%). The multivariate analysis confirmed most of the results of the univariate analysis. CONCLUSIONS: Inequalities in health among groups of various socioeconomic status constitute one of the main challenges for public health; these inequalities might be reduced by improving educational opportunities, income distribution, health-related behaviour, or accessibility to health care.