Tapping Into Awareness: Assessing Nursing Students’ Water Consumption Behaviors and Sustainability Perceptions Through a Cross‐Sectional Study With Machine Learning Approach

ABSTRACT Introduction Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detail. Methods This descriptive cross‐sectiona...

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Vydané v:	Public health Nursing Ročník 42; číslo 1; s. 444 - 456
Hlavní autori:	Kucukkuya, Aycan, Bodur, Gonul, Ozata, Sabri Yasir, Goktas, Polat
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Wiley Subscription Services, Inc 01.01.2025
Predmet:	artificial intelligence awareness Bottled water Cross-sectional studies Domestic water Drinking water Environmental ethics Learning algorithms Machine learning Nursing Nursing education nursing students Resource management Students Surveys Sustainability Sustainability management Sustainable practices Water Water consumption Water crises Water management Water scarcity water sustainability Water use Water use efficiency awareness machine learning nursing students water consumption water sustainability artificial intelligence
ISSN:	0737-1209, 1525-1446, 1525-1446
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Abstract	ABSTRACT Introduction Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detail. Methods This descriptive cross‐sectional study involved 182 senior nursing students from an accredited faculty in Istanbul, Turkey, during the 2023–2024 academic year. Data were collected through an online survey, including an information form, a visual analog scale toward foresight about water scarcity (VAS), and a water consumption behavior scale. Advanced ML techniques were utilized to identify intricate patterns and correlations in the students’ behaviors and perceptions. Results The survey revealed that nursing students primarily rely on packaged water and perceive an imminent threat of water scarcity, though they exhibit limited awareness of their personal water footprint. High VAS scores indicated a strong awareness of global water crises but skepticism about local water scarcity. The ML model identified “Domestic Water Use Efficiency” as the primary factor influencing attitudes toward water sustainability, with “Water Awareness” and “Sustainable Water Ethics” also playing significant roles. Conclusions The study highlights the need to integrate sustainable water management education into nursing curricula and demonstrates nursing students’ awareness and preparedness for sustainable practices.
AbstractList	IntroductionInvestigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detail.MethodsThis descriptive cross‐sectional study involved 182 senior nursing students from an accredited faculty in Istanbul, Turkey, during the 2023–2024 academic year. Data were collected through an online survey, including an information form, a visual analog scale toward foresight about water scarcity (VAS), and a water consumption behavior scale. Advanced ML techniques were utilized to identify intricate patterns and correlations in the students’ behaviors and perceptions.ResultsThe survey revealed that nursing students primarily rely on packaged water and perceive an imminent threat of water scarcity, though they exhibit limited awareness of their personal water footprint. High VAS scores indicated a strong awareness of global water crises but skepticism about local water scarcity. The ML model identified “Domestic Water Use Efficiency” as the primary factor influencing attitudes toward water sustainability, with “Water Awareness” and “Sustainable Water Ethics” also playing significant roles.ConclusionsThe study highlights the need to integrate sustainable water management education into nursing curricula and demonstrates nursing students’ awareness and preparedness for sustainable practices. Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detail.INTRODUCTIONInvestigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detail.This descriptive cross-sectional study involved 182 senior nursing students from an accredited faculty in Istanbul, Turkey, during the 2023-2024 academic year. Data were collected through an online survey, including an information form, a visual analog scale toward foresight about water scarcity (VAS), and a water consumption behavior scale. Advanced ML techniques were utilized to identify intricate patterns and correlations in the students' behaviors and perceptions.METHODSThis descriptive cross-sectional study involved 182 senior nursing students from an accredited faculty in Istanbul, Turkey, during the 2023-2024 academic year. Data were collected through an online survey, including an information form, a visual analog scale toward foresight about water scarcity (VAS), and a water consumption behavior scale. Advanced ML techniques were utilized to identify intricate patterns and correlations in the students' behaviors and perceptions.The survey revealed that nursing students primarily rely on packaged water and perceive an imminent threat of water scarcity, though they exhibit limited awareness of their personal water footprint. High VAS scores indicated a strong awareness of global water crises but skepticism about local water scarcity. The ML model identified "Domestic Water Use Efficiency" as the primary factor influencing attitudes toward water sustainability, with "Water Awareness" and "Sustainable Water Ethics" also playing significant roles.RESULTSThe survey revealed that nursing students primarily rely on packaged water and perceive an imminent threat of water scarcity, though they exhibit limited awareness of their personal water footprint. High VAS scores indicated a strong awareness of global water crises but skepticism about local water scarcity. The ML model identified "Domestic Water Use Efficiency" as the primary factor influencing attitudes toward water sustainability, with "Water Awareness" and "Sustainable Water Ethics" also playing significant roles.The study highlights the need to integrate sustainable water management education into nursing curricula and demonstrates nursing students' awareness and preparedness for sustainable practices.CONCLUSIONSThe study highlights the need to integrate sustainable water management education into nursing curricula and demonstrates nursing students' awareness and preparedness for sustainable practices. Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detail. This descriptive cross-sectional study involved 182 senior nursing students from an accredited faculty in Istanbul, Turkey, during the 2023-2024 academic year. Data were collected through an online survey, including an information form, a visual analog scale toward foresight about water scarcity (VAS), and a water consumption behavior scale. Advanced ML techniques were utilized to identify intricate patterns and correlations in the students' behaviors and perceptions. The survey revealed that nursing students primarily rely on packaged water and perceive an imminent threat of water scarcity, though they exhibit limited awareness of their personal water footprint. High VAS scores indicated a strong awareness of global water crises but skepticism about local water scarcity. The ML model identified "Domestic Water Use Efficiency" as the primary factor influencing attitudes toward water sustainability, with "Water Awareness" and "Sustainable Water Ethics" also playing significant roles. The study highlights the need to integrate sustainable water management education into nursing curricula and demonstrates nursing students' awareness and preparedness for sustainable practices. ABSTRACT Introduction Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detail. Methods This descriptive cross‐sectional study involved 182 senior nursing students from an accredited faculty in Istanbul, Turkey, during the 2023–2024 academic year. Data were collected through an online survey, including an information form, a visual analog scale toward foresight about water scarcity (VAS), and a water consumption behavior scale. Advanced ML techniques were utilized to identify intricate patterns and correlations in the students’ behaviors and perceptions. Results The survey revealed that nursing students primarily rely on packaged water and perceive an imminent threat of water scarcity, though they exhibit limited awareness of their personal water footprint. High VAS scores indicated a strong awareness of global water crises but skepticism about local water scarcity. The ML model identified “Domestic Water Use Efficiency” as the primary factor influencing attitudes toward water sustainability, with “Water Awareness” and “Sustainable Water Ethics” also playing significant roles. Conclusions The study highlights the need to integrate sustainable water management education into nursing curricula and demonstrates nursing students’ awareness and preparedness for sustainable practices.
Author	Goktas, Polat Bodur, Gonul Ozata, Sabri Yasir Kucukkuya, Aycan
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Snippet	ABSTRACT Introduction Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective... Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This... IntroductionInvestigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource...
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SubjectTerms	artificial intelligence awareness Bottled water Cross-sectional studies Domestic water Drinking water Environmental ethics Learning algorithms Machine learning Nursing Nursing education nursing students Resource management Students Surveys Sustainability Sustainability management Sustainable practices Water Water consumption Water crises Water management Water scarcity water sustainability Water use Water use efficiency
Title	Tapping Into Awareness: Assessing Nursing Students’ Water Consumption Behaviors and Sustainability Perceptions Through a Cross‐Sectional Study With Machine Learning Approach
URI	https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fphn.13468 https://www.ncbi.nlm.nih.gov/pubmed/39462942 https://www.proquest.com/docview/3151783167 https://www.proquest.com/docview/3121280473
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