Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly
Objective: We studied the association between the socioeconomic status (SES), tooth loss, and oral health–related quality of life (OHRQoL) in an adult cohort in western China. As socioeconomic inequalities in oral health are often neglected in oral health promotion. we aimed to verify the impact of...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | International Dental Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S002065392300624X |
| _version_ | 1797243061449785344 |
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| author | Yanjun Lyu Shaoyong Chen Andi Li Tingting Zhang Xiaojuan Zeng Suren Rao Sooranna |
| author_facet | Yanjun Lyu Shaoyong Chen Andi Li Tingting Zhang Xiaojuan Zeng Suren Rao Sooranna |
| author_sort | Yanjun Lyu |
| collection | DOAJ |
| description | Objective: We studied the association between the socioeconomic status (SES), tooth loss, and oral health–related quality of life (OHRQoL) in an adult cohort in western China. As socioeconomic inequalities in oral health are often neglected in oral health promotion. we aimed to verify the impact of SES on tooth loss and OHRQoL. Methods: In all, 348 participants aged 60 years and older were selected for this study. Relationships amongst SES, tooth loss, and OHRQoL were identified by using a structural equation model (SEM). Results: In the final sample, 312 people were included, and the response rate was 89.7%. The bias-corrected 95% confidence intervals of the total, direct, and indirect effects were (−0.267 to 0.475), (−0.489 to 0.185), and (0.088 to 0.450), respectively. The comparative fit index of SEM was 0.943. The model showed that their SES directly affected tooth loss in the elderly population. This indirectly affects their oral health–related quality of life. The numbers of natural teeth and occlusal units (with standardised path coefficients of 0.79 and 0.74, respectively) were found to be the most significant factors relating to tooth loss. Conclusion: SES affected the oral health–related quality of life in elderly people through tooth loss in a Chinese study population. Our data suggest that improvements in the social and economic environments are a primary measure that should be implmented to prevent tooth loss and improve the OHRQoL. |
| first_indexed | 2024-04-24T18:49:08Z |
| format | Article |
| id | doaj.art-fdce7caca4184645b1a6f3af6fb6b5ce |
| institution | Directory Open Access Journal |
| issn | 0020-6539 |
| language | English |
| last_indexed | 2024-04-24T18:49:08Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Dental Journal |
| spelling | doaj.art-fdce7caca4184645b1a6f3af6fb6b5ce2024-03-27T04:51:06ZengElsevierInternational Dental Journal0020-65392024-04-01742268275Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese ElderlyYanjun Lyu0Shaoyong Chen1Andi Li2Tingting Zhang3Xiaojuan Zeng4Suren Rao Sooranna5College & Hospital of Stomatology, Guangxi Medical University, Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, Guangxi, ChinaCollege & Hospital of Stomatology, Guangxi Medical University, Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, Guangxi, ChinaCollege & Hospital of Stomatology, Guangxi Medical University, Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, Guangxi, ChinaCollege & Hospital of Stomatology, Guangxi Medical University, Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, Guangxi, ChinaCollege & Hospital of Stomatology, Guangxi Medical University, Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, Guangxi, China; Department of Dental Public Health/Department of Oral Health Policy Research, College & Hospital of Stomatology, Guangxi Medical University, Nanning, Guangxi, China; Corresponding author. Department of Dental Public Health/Department of Oral Health Policy Research, College & Hospital of Stomatology, Guangxi Medical University, Shuangyong Road & 10, Nanning, Guangxi, 530021, China.Department of Metabolism, Digestion and Reproduction Faculty of Medicine, Imperial College London, London, United KingdomObjective: We studied the association between the socioeconomic status (SES), tooth loss, and oral health–related quality of life (OHRQoL) in an adult cohort in western China. As socioeconomic inequalities in oral health are often neglected in oral health promotion. we aimed to verify the impact of SES on tooth loss and OHRQoL. Methods: In all, 348 participants aged 60 years and older were selected for this study. Relationships amongst SES, tooth loss, and OHRQoL were identified by using a structural equation model (SEM). Results: In the final sample, 312 people were included, and the response rate was 89.7%. The bias-corrected 95% confidence intervals of the total, direct, and indirect effects were (−0.267 to 0.475), (−0.489 to 0.185), and (0.088 to 0.450), respectively. The comparative fit index of SEM was 0.943. The model showed that their SES directly affected tooth loss in the elderly population. This indirectly affects their oral health–related quality of life. The numbers of natural teeth and occlusal units (with standardised path coefficients of 0.79 and 0.74, respectively) were found to be the most significant factors relating to tooth loss. Conclusion: SES affected the oral health–related quality of life in elderly people through tooth loss in a Chinese study population. Our data suggest that improvements in the social and economic environments are a primary measure that should be implmented to prevent tooth loss and improve the OHRQoL.http://www.sciencedirect.com/science/article/pii/S002065392300624XSocioeconomic statusTooth lossOral health–related quality of lifeStructured equation modelElderly population |
| spellingShingle | Yanjun Lyu Shaoyong Chen Andi Li Tingting Zhang Xiaojuan Zeng Suren Rao Sooranna Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly International Dental Journal Socioeconomic status Tooth loss Oral health–related quality of life Structured equation model Elderly population |
| title | Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly |
| title_full | Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly |
| title_fullStr | Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly |
| title_full_unstemmed | Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly |
| title_short | Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly |
| title_sort | socioeconomic status and tooth loss impact on oral health related quality of life in chinese elderly |
| topic | Socioeconomic status Tooth loss Oral health–related quality of life Structured equation model Elderly population |
| url | http://www.sciencedirect.com/science/article/pii/S002065392300624X |
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