five

Demographic characteristics (N = 405).

收藏
Figshare2025-06-13 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Demographic_characteristics_N_405_/29317302
下载链接
链接失效反馈
官方服务:
资源简介:
BackgroundClimate change poses significant risks to human health, particularly exacerbating conditions for individuals with chronic diseases. This study aimed to examine differences in climate change awareness, risk appraisal, pro-environmental behaviors (PEBs), and climate change worry between individuals with and without chronic diseases, and to investigate their interrelationships.MethodsA cross-sectional survey design was employed, using convenience sampling. Participants included 405 Israeli adults (146 with chronic diseases, and 259 without) who completed validated self-report questionnaires assessing climate change awareness, risk appraisal, PEBs, and worry. Data analyses included descriptive statistics, Pearson correlations, and multivariate analysis of covariance, using SPSS version 29. Moderated serial mediation analysis was conducted using Hayes’ PROCESS macro (model 92) with 5,000 bootstrap samples.ResultsParticipants with chronic diseases reported significantly higher levels of climate change awareness, F(1, 400)=5.88, p = .016; risk appraisal, F(1, 400)=12.68, p p = .046; and worry, F(1, 400)=6.81, p = .009, than did participants without chronic diseases. The moderated serial mediation model was significant (effect = 0.02, SE = 0.01, 95%CI [0.001, 0.04]), explaining 44% of the variance in climate change worry. Awareness positively predicted risk appraisal (B = 0.33, p p p ConclusionsThe results emphasize the need for targeted communication strategies and policy initiatives that address the specific vulnerabilities and behaviors of chronically ill populations. Future research should utilize longitudinal approaches and objective assessments to deepen our understanding of these dynamics and inform effective interventions.
创建时间:
2025-06-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作