Amin, S., Eldeeb, A., Elbialy, A. (2023). Predictors of Climate Change Knowledge and Risk Perception among the Adults in ElBeheira Governorate. Assiut Scientific Nursing Journal, 11(34), 41-51. doi: 10.21608/asnj.2023.187563.1489
Shaimaa Mohamed Amin; Abeer M. El-Maghawry Eldeeb; Amira A. Elbialy. "Predictors of Climate Change Knowledge and Risk Perception among the Adults in ElBeheira Governorate". Assiut Scientific Nursing Journal, 11, 34, 2023, 41-51. doi: 10.21608/asnj.2023.187563.1489
Amin, S., Eldeeb, A., Elbialy, A. (2023). 'Predictors of Climate Change Knowledge and Risk Perception among the Adults in ElBeheira Governorate', Assiut Scientific Nursing Journal, 11(34), pp. 41-51. doi: 10.21608/asnj.2023.187563.1489
Amin, S., Eldeeb, A., Elbialy, A. Predictors of Climate Change Knowledge and Risk Perception among the Adults in ElBeheira Governorate. Assiut Scientific Nursing Journal, 2023; 11(34): 41-51. doi: 10.21608/asnj.2023.187563.1489
Predictors of Climate Change Knowledge and Risk Perception among the Adults in ElBeheira Governorate
1Lecturer of Community Health Nursing, Faculty of Nursing, Damanhour University, Egypt
2Assistant Professor of Family &Community Health Nursing, Faculty of Nursing, Damietta University, Egypt.
3Lecturer of Community Health Nursing, Faculty of Nursing, Tanta University, Egypt
Abstract
Background: Investigating the risk perception and the public awareness concerning the issue of climate change is essential for finding gaps and laying the ground for educational programs that address causes of climate change and mitigation strategies. Aim of the study: to determine the predictors of climate change knowledge and risk perception among the adults in El-Beheira governorate. Design: descriptive cross-sectional exploratory survey research design was adopted. Setting: An online survey using Google form was sent to the respondents in all centers of El-Beheira governorate. Subjects: A convenient sample of 550 adults with the minimum age 19 years and had accessibility to the internet. Data Collection Tools: an online questionnaire was utilized that involved three sections; Section one: socio-demographic characteristics of the study participants, section two: knowledge of the study participants about climate change, section three: risk perception of the study participants toward climate change. Results: The multivariate logistic regression analysis illustrated that the significant predictors for climate change knowledge were increasing age, university education, male gender, urban residence, extended family, healthcare occupation, enough income and high risk perception. Additionally, increasing age, university education, male gender, urban residence, health care occupation, enough income and satisfactory knowledge were the determinants of climate change risk perception. Conclusion: It can be concluded that several factors were significantly associated with climate change knowledge and risk perception such as age, gender, family type, place of residence, education level, occupation and monthly income. Recommendations: Conducting community mobilization campaigns to raise the community awareness concerning climate change and foster the risk perception toward this issue.
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