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Students' Environmental Risk Perception in University of Catania (South Italy): Results of a Cross-Sectional Study

机译:卡塔尼亚大学(意大利南部)的学生对环境风险的感知:跨部门研究的结果

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Introduction: Risk perception is associated to different socio-cultural and individual factors, like subjective judgment and level of Health literacy (HL), which are poorly studied in Italy. This study has investigated students' environmental risk perception related to the level of HL. Methods: Enrolment was carried out in scientific-health and humanistic-legal-social sectors in the University of Catania. The students filed out a structured questionnaire in three sections that explore sociodemographic, environmental risk perception and HL data. The HL was calculated by assigning a score of 1 to each correct answer and calculating their mean. The mean values were divided into two categories: poor vs good (< 9 vs> 9). A risk perception score was calculated by summing up the item ratings. Collected data was stratified by HL. A logistic regression model was used to identify possible factors associated with a low environmental risk. Significance was set at p<0.05. Results: We enrolled 574 students (365 females, 209 males), aged between 18 and 44, 320 of whom attending scientific-health sector and 254 humanistic-legal-social sector respectively. At the logistic regression analysis the students with a low environmental risk perception resulted to be affected by almost a threefold risk of getting away from high HL (OR = 2.96; CI 95% 1.16-7.54). HL was influenced by students' age (<21 vs >22; p-value= 0,000), the sectors (scientific-health vs humanistic-legal-social sectors) and duration of the study course (three vs six years; p-value 0,000). Conclusions: Our results highlight that focus on HL might improve students' environmental risk perception which may bring positive impact on making decisions, planning and implementing strategies.
机译:简介:风险感知与不同的社会文化和个人因素相关,例如主观判断和健康素养(HL),这在意大利很少研究。这项研究调查了学生与HL水平相关的环境风险感知。方法:在卡塔尼亚大学的科学,健康和人文-法律-社会领域进行了招生。学生们分三部分提交了一份结构化问卷,以探讨社会人口统计学,环境风险感知和HL数据。通过为每个正确答案分配分数1并计算其平均值来计算HL。平均值分为两类:差与好(<9 vs> 9)。通过汇总项目等级来计算风险感知得分。 HL对收集的数据进行了分层。使用逻辑回归模型来确定与低环境风险相关的可能因素。显着性设定为p <0.05。结果:我们招收了574名学生(365名女性,209名男性),年龄在18至44岁之间,其中分别有320名学生参加了科学卫生部门和254名人文-法律-社会部门。在逻辑回归分析中,具有较低环境风险感知的学生受到远离高HL的近三倍风险的影响(OR = 2.96; CI 95%1.16-7.54)。 HL受学生年龄(<21 vs> 22; p值= 0,000),行业(科学健康与人文法律法律行业)和学习时间(3岁至6岁; p值)的影响0,000)。结论:我们的研究结果表明,关注HL可能会改善学生的环境风险感知,这可能会对决策,计划和实施策略产生积极影响。

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