Sampaolo Letizia, Tommaso Giulia, Gherardi Bianca, Carrozzi Giuliano, Freni Sterrantino Anna, Ottone Marta, Goldoni Carlo Alberto, Bertozzi Nicoletta, Scaringi Meri, Bolognesi Lara, Masocco Maria, Salmaso Stefania, Lauriola Paolo
Università Ca' Foscari, Venezia.
Dipartimento di sanità pubblica, Azienda unità sanitaria locale di Modena.
Epidemiol Prev. 2017 Jan-Feb;41(1):20-28. doi: 10.19191/EP17.1.P020.008.
"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).
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.
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.
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. ".
“目的：根据对环境风险的认知确定人群分组，并利用意大利行为风险因素监测系统（PASSI）监测网络环境模块中收集的数据评估主要特征。
使用潜在类别分析确定感知概况；随后将其作为结果纳入多项逻辑回归模型，以评估环境风险认知与人口统计学、健康、社会经济和行为变量之间的关联。
潜在类别分析将样本分为‘担忧型’、‘冷漠型’和‘积极型’人群。多项逻辑回归模型显示，‘担忧型’人群通常包括意大利国籍、居住在高度城市化地区、受过高等教育且有经济困难的人；他们特别关注自身健康和健身状况，但对自己的身心状态有负面认知。
应用先进的统计分析能够评估PASSI数据，以描述对环境风险的认知，从而使与风险沟通相关的干预措施规划成为可能。”
