BMC Nursing (Sep 2024)

Predictors of climate change literacy in the era of global boiling: a cross-sectional survey of Egyptian nursing students

  • Mohamed Hussein Ramadan Atta,
  • Mohamed A. Zoromba,
  • Maha Gamal Ramadan Asal,
  • Eman Sameh AbdELhay,
  • Abdelaziz Hendy,
  • Mervat Amin Sayed,
  • Huwida Hamdy Abd Elmonem,
  • Omnya Sobhy Mohamad El-ayari,
  • Ibrahim Sehsah,
  • Islam Sameh AbdELhay,
  • Alzahraa Abdel Aziz Omar Abdel Rahman,
  • Selwan Mahmoud Ibrahim Balha,
  • Heba Mostafa Ali Taha,
  • Hanady. Sh. Shehata,
  • Ahmed Abdellah Othman,
  • Ahmed Zaher Mohamed,
  • Mahitab Mohamed Abdelrahman,
  • Noha Mohammed Ibrahim Ibrahim ,
  • Eman Hassan Mahmoud Hassan,
  • Hend Ali Mohamed Abd El-fatah,
  • Amal AbdElaal Mohamed Ali,
  • Mohamed Farag Awad Elsmalosy,
  • Eslam Reda Machaly,
  • Mohamed Adel Ghoneam,
  • Amal Fawzy Zaki Ali,
  • Mira Naguib Abdelrazek Elfar,
  • Ahmed Abdelwahab Ibrahim El-Sayed,
  • Marwa Fouad Hanafy Mahmoud,
  • Eman Arafa Hassan

DOI
https://doi.org/10.1186/s12912-024-02315-y
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 17

Abstract

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Abstract Background Climate changes have led to health and environmental risks, so it has become essential to measure climate change literacy among the entire population, especially nursing students. The significant role of nursing students in raising public awareness and future healthcare roles emphasizes assessing the predictors of climate change literacy among nursing students. Aims This study seeks to identify the predictors of climate change literacy among nursing students in A Multi-Site Survey. Design A multi-site descriptive cross-sectional study adheres to the guidelines outlined in A Consensus-Based Checklist for Reporting Survey Studies collected for five months, from the 1st of July 2023 to November 2023. The study participants comprise 10,084 nursing students from all 27 governments in Egypt. The researcher used the Predictors of Nursing Students’ Climate Change Literacy scale in this study. Data was collected, with 25 min average time to complete. Backward multiple linear regression was used to identify these predictors. Results In the current study, nursing students demonstrated a moderate understanding of climate science (mean score 14.38), communication and advocacy skills (mean score 14.41), and knowledge of adaptation and mitigation strategies (mean score 13.33). Climate health impacts (mean score 17.72) emerged as the domain with the highest level of knowledge. No significant differences in climate literacy were observed across diverse student backgrounds (all p-values were > 0.05). Perceived faculty knowledge of climate change positively correlated with all four domains of climate literacy and emerged as a significant predictor in multiple linear regression analyses (all p-values were < 0.001). Implication. While our findings highlight significant predictors of climate literacy, it is essential to recognize that these results identify associations rather than causal relationships. Based on these associations, it is recommended that nursing professionals be equipped with comprehensive knowledge of climate adaptation strategies to better advocate for and implement effective public health measures.

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