Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes
With a global aging population, the oral hygiene of elderly individuals in institutional settings requires unique management. Maintaining adequate denture hygiene is a critical aspect of their overall well-being, while neglecting denture hygiene can lead to various oral health issues, malnutrition...
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Faculty of Dentistry Universitas Indonesia
2024
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my.iium.irep.1173642025-01-02T08:10:18Z http://irep.iium.edu.my/117364/ Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes W Ahmad, Wan Muhamad Amir Hasan, Ruhaya Adnan, Mohamad Nasarudin Mohamad Ghazali, Farah Muna Shahzad, Hazik Aleng, Nor Azlida Mohd Ibrahim, Mohamad Shafiq RK Dentistry With a global aging population, the oral hygiene of elderly individuals in institutional settings requires unique management. Maintaining adequate denture hygiene is a critical aspect of their overall well-being, while neglecting denture hygiene can lead to various oral health issues, malnutrition, and further impacting their overall health. Objective: This paper aims to provide a preliminary overview of denture hygiene care among the elderly using an ordered logistics model. Methods: Data was obtained from 174 participants in two government institutional homes in Malaysia. The Principle Components Analysis (PCA) was used to identify significant variables and an ordered logistic model showed the relationships between these variables and denture hygiene. Results: PCA identified three significant variables: calf circumference, age, and appetite. The ordered logistic model shows that lower calf circumference, lower age groups and severe loss of appetite, all were associated with significantly poorer denture hygiene. The model’s fitting and goodness-of-fit was also assesed and found to be satisfactory. Conclusion: Poor denture hygiene is prevelant among institutionalized elderly. Addressing these issues is crucial for caregivers and healthcare providers to enhance the well-being of the aging population. This research provides a foundation for future interventions to improve denture hygiene and, by extension, overall health and quality of life for institutionalized elderly individuals. Faculty of Dentistry Universitas Indonesia 2024-08-31 Article PeerReviewed application/pdf en http://irep.iium.edu.my/117364/1/117364_Developing%20an%20ordered%20logistics%20regression%20model%20for%20denture.pdf application/pdf en http://irep.iium.edu.my/117364/7/117364_Developing%20an%20ordered%20logistics%20regression%20model.pdf W Ahmad, Wan Muhamad Amir and Hasan, Ruhaya and Adnan, Mohamad Nasarudin and Mohamad Ghazali, Farah Muna and Shahzad, Hazik and Aleng, Nor Azlida and Mohd Ibrahim, Mohamad Shafiq (2024) Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes. Journal of Dentistry Indonesia, 31 (2). pp. 125-131. ISSN 1693-9697 E-ISSN 2355-4800 https://scholarhub.ui.ac.id/jdi/vol31/iss2/7/ https://doi.org/10.14693/jdi.v31i2.1634 |
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RK Dentistry W Ahmad, Wan Muhamad Amir Hasan, Ruhaya Adnan, Mohamad Nasarudin Mohamad Ghazali, Farah Muna Shahzad, Hazik Aleng, Nor Azlida Mohd Ibrahim, Mohamad Shafiq Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes |
description |
With a global aging population, the oral hygiene of elderly individuals in institutional settings requires unique
management. Maintaining adequate denture hygiene is a critical aspect of their overall well-being, while neglecting
denture hygiene can lead to various oral health issues, malnutrition, and further impacting their overall health.
Objective: This paper aims to provide a preliminary overview of denture hygiene care among the elderly using an ordered logistics model. Methods: Data was obtained from 174 participants in two government institutional homes in Malaysia. The Principle Components Analysis (PCA) was used to identify significant variables and an ordered logistic model showed the relationships between these variables and denture hygiene.
Results: PCA identified three significant variables: calf circumference, age, and appetite. The ordered logistic model shows that lower calf circumference, lower age groups and severe loss of appetite, all were associated with significantly
poorer denture hygiene. The model’s fitting and goodness-of-fit was also assesed and found to be satisfactory.
Conclusion: Poor denture hygiene is prevelant among institutionalized elderly. Addressing these issues is crucial
for caregivers and healthcare providers to enhance the well-being of the aging population. This research provides
a foundation for future interventions to improve denture hygiene and, by extension, overall health and quality of
life for institutionalized elderly individuals. |
format |
Article |
author |
W Ahmad, Wan Muhamad Amir Hasan, Ruhaya Adnan, Mohamad Nasarudin Mohamad Ghazali, Farah Muna Shahzad, Hazik Aleng, Nor Azlida Mohd Ibrahim, Mohamad Shafiq |
author_facet |
W Ahmad, Wan Muhamad Amir Hasan, Ruhaya Adnan, Mohamad Nasarudin Mohamad Ghazali, Farah Muna Shahzad, Hazik Aleng, Nor Azlida Mohd Ibrahim, Mohamad Shafiq |
author_sort |
W Ahmad, Wan Muhamad Amir |
title |
Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes |
title_short |
Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes |
title_full |
Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes |
title_fullStr |
Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes |
title_full_unstemmed |
Developing an ordered logistics regression model for denture hygiene among elderly in residential care homes |
title_sort |
developing an ordered logistics regression model for denture hygiene among elderly in residential care homes |
publisher |
Faculty of Dentistry Universitas Indonesia |
publishDate |
2024 |
url |
http://irep.iium.edu.my/117364/1/117364_Developing%20an%20ordered%20logistics%20regression%20model%20for%20denture.pdf http://irep.iium.edu.my/117364/7/117364_Developing%20an%20ordered%20logistics%20regression%20model.pdf http://irep.iium.edu.my/117364/ https://scholarhub.ui.ac.id/jdi/vol31/iss2/7/ https://doi.org/10.14693/jdi.v31i2.1634 |
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13.23648 |