The two behavioural risk factor surveillances on the adult and elderly populations as information systems for leveraging data on health-related sustainable development goals in Italy.

INTRODUCTION: Current lengthening of average life and constant increase of population ageing associated to forces that include rapid unplanned urbanisation and globalisation of unhealthy behaviours have determined the huge relevance of noncommunicable diseases (NCDs). Monitoring key modifiable behavioural risk factors has resulted to be crucial both in spatial terms and as per temporal trends in order to allow comparisons between different geographic areas or levels and over time. MATERIALS AND METHODS: In Italy, PASSI (Progressi delle Aziende Sanitarie per la Salute in Italia) and Passi d'Argento are the ongoing Behavioural Risk Factor Surveillance Systems (BRFSSs), respectively, on adults (people aged 18-69) and elderly (65 and older). RESULTS: The two Italian surveillances are information systems providing data not only on the third Sustainable Development Goal (SDG) that explicitly addresses ensuring healthy lives and promoting well-being for all, but on a total of nine health-related SDGs (HRSDGs) and 19 HRSDG targets/indicators. We describe these pairs more in detail specifying where in case of BRFSS core indicators (N = 14 HRSDG targets/indicators) concerning six HRSDGs or, on the other hand, as per BRFSS further in-depth analysis (N = five HRSDG targets/indicators) in regard of four different HRSDGs. About the HRSDG 3, HRSDG target 3.4, HRSDG indicator 3.4.1, from the PASSI and Passi d'Argento data it is possible not only to detect the prevalence of NCDs in adults and elderly living in Italy, but also to evaluate the social determinants of health, such as gender, age group, educational level, economic difficulties, as well as the associations with modifiable lifestyle risk factors. CONCLUSIONS: The two Italian BRFSSs generate accurate data, which are highly relevant to design, implement, monitor, and evaluate programs and policies at different levels (local, regional, national) for NCD prevention and health promotion. They provide numbers which can also serve as propaedeutic or, in some cases, complementary ground to address a robust measurement of several HRSDG patterns.

[Trends in educational inequalities in premature mortality between 2001 and 2016: results from the Emilian Longitudinal Study]. / Andamento delle disuguaglianze per livello di istruzione nella mortalità prematura tra il 2001 e il 2016 nello Studio longitudinale emiliano.

OBJECTIVES: to describe changes in relative and absolute inequalities in mortality by education level between 2001 and 2016 in the Emilian longitudinal study (SLEm) and to estimate the impact of these inequalities at population level. DESIGN: closed cohort study based on record-linkage between municipal population registries, Census archives of 2001 and 2011, and the mortality register. SETTING AND PARTICIPANTS: 2001- and 2011-Census respondents >=30 years old residing in Bologna, Modena, or Reggio Emilia followed up to the age of 75 years, death, emigration, or end of follow-up (December 2006 or December 2016). MAIN OUTCOME MEASURES: premature mortality for all causes and for 16 groups of causes known to be associated with socioeconomic position. In order to capture various aspects of the inequalities, the association with the education level is assessed through summary regression-based indexes (Relative and Slope Index of Inequality) and the Attributable Population Fraction. RESULTS: premature mortality declined across all educational level between 2001-2006 and 2011-2016; declines were greater among men than women. Among men, relative inequalities in mortality slightly increased (RII from 1.86 in 2001 to 2.13 in 2011), while absolute inequalities declined (SII from 382.3 to 360.6). Among women, both relative and absolute inequalities increased (RII from 1.23 to 1.65, SII from 73.7 to 137.4). Educational inequalities in lung cancer, respiratory and cerebrovascular diseases mortality decreased among men and increased among women. The proportion of the low educated shrank over time (men: from 40% to 36%; women: from 43% to 35%); nonetheless, the fraction of the deaths attributable to educational inequalities showed an upward tendency (from 18.5% to 21.9% in men and from 9.7% to 15.6% in women); the groups of causes that contribute most to this increase were malignant cancers, especially lung cancer, diseases of the circulatory and respiratory systems, and accidents. CONCLUSIONS: relative inequalities slightly increased in both genders, while absolute inequalities only in women. A reduction in the population impact could be achieved by tackling educational inequalities in mortality due to lung cancer, diseases of the circulatory and respiratory systems, and accidents.

The perception of the relationship between environment and health according to data from Italian Behavioural Risk Factor Surveillance System (PASSI). / La percezione del rapporto ambiente-salute secondo i dati della sorveglianza Progressi delle aziende sanitarie per la salute in Italia (PASSI).

"OBJECTIVES: to identify groups of people in relation to the perception of environmental risk and to assess the main characteristics using data collected in the environmental module of the surveillance network Italian Behavioral Risk Factor Surveillance System (PASSI). METHODS: perceptive profiles were identified using a latent class analysis; later they were included as outcome in multinomial logistic regression models to assess the association between environmental risk perception and demographic, health, socio-economic and behavioural variables. RESULTS: the latent class analysis allowed to split the sample in "worried", "indifferent", and "positive" people. The multinomial logistic regression model showed that the "worried" profile typically includes people of Italian nationality, living in highly urbanized areas, with a high level of education, and with economic difficulties; they pay special attention to their own health and fitness, but they have a negative perception of their own psychophysical state. CONCLUSIONS: the application of advanced statistical analysis enable to appraise PASSI data in order to characterize the perception of environmental risk, making the planning of interventions related to risk communication possible. ".

Social determinants effects from the Italian risk factor surveillance system PASSI.

OBJECTIVES: To offer examples on how risk factor surveillance systems can help in providing useful information on social determinants effects and health inequalities. METHODS: The Italian risk factor surveillance system (PASSI) collects monthly information from most of the Italian Local Health Units (over 85% of the Italian population is covered) on major health-related behaviours together with information on health practices, attitudes and opinions. Multivariate analysis of associations with possible indicators of social determinants collected by the system, offers important indications on the value that the system has in providing useful information on the effects of social determinants. RESULTS: Social determinants, although measured through very simple indicators, have major influence on health outcomes (in the example here, depression), geographical disparities in health (efficacy of smoking ban), and access to preventive services (pap test in our analysis). CONCLUSIONS: Risk factor surveillance can offer valuable information for monitoring social determinants effects and inequalities, and, when considering data over time, for evaluating the gross impact of future interventions and policies aimed at reducing them.