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Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations

OBJECTIVE: Oral health-related quality of life (OHRQoL) is a multidimensional concept that is commonly used to examine the impact of oral health status on quality of life. The purpose of this study was to examine the optimal factor model of the Chinese version of the Oral Health Impact Profile (OHIP...

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Autores principales: Yang, Guang-Hui, Feng, Yao, Xue, Lan-Xin, Ou-Yang, Ze-Yue, Yang, Yi-Fan, Zhao, Ya-Qiong, Zhao, Jie, Hu, Jing, Ye, Qin, Su, Xiao-Lin, Chen, Ning-Xin, Zhong, Meng-Mei, Feng, Yun-Zhi, Guo, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463897/
https://www.ncbi.nlm.nih.gov/pubmed/37620833
http://dx.doi.org/10.1186/s12903-023-03310-6
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author Yang, Guang-Hui
Feng, Yao
Xue, Lan-Xin
Ou-Yang, Ze-Yue
Yang, Yi-Fan
Zhao, Ya-Qiong
Zhao, Jie
Hu, Jing
Ye, Qin
Su, Xiao-Lin
Chen, Ning-Xin
Zhong, Meng-Mei
Feng, Yun-Zhi
Guo, Yue
author_facet Yang, Guang-Hui
Feng, Yao
Xue, Lan-Xin
Ou-Yang, Ze-Yue
Yang, Yi-Fan
Zhao, Ya-Qiong
Zhao, Jie
Hu, Jing
Ye, Qin
Su, Xiao-Lin
Chen, Ning-Xin
Zhong, Meng-Mei
Feng, Yun-Zhi
Guo, Yue
author_sort Yang, Guang-Hui
collection PubMed
description OBJECTIVE: Oral health-related quality of life (OHRQoL) is a multidimensional concept that is commonly used to examine the impact of oral health status on quality of life. The purpose of this study was to examine the optimal factor model of the Chinese version of the Oral Health Impact Profile (OHIP-14) questionnaire in clinical populations, measurement invariance across clinical status and gender cohorts. This would ensure equal validity of the Chinese version of OHIP-14 in different populations and further support public oral investigations. METHODS: The Chinese version of OHIP-14 was used to investigate 490 dental patients and 919 college students. Confirmatory factor analysis (CFA), item analysis and reliability, measurement invariance, and the t-test were used for data analyses. RESULTS: We found that the 7-factor structure had the best-fit index in the sample (CFI = 0.970, TLI = 0.952; SRMR = 0.029, RMSEA = 0.052(0.040,0.063)). The reliability of the scales was satisfactory (Cronbach’s α = 0.942). The error variance invariance fitted the data adequately in measurement invariance, indicating that measurement invariance is acceptable both across the clinical and non-clinical populations (∆CFI=-0.017, ∆RMSEA = 0.010) and across genders in the clinical population (∆CFI = 0.000, ∆RMSEA=-0.003). T-test for scores showed that the clinical populations scored significantly higher than the non-clinical populations, as did the overall score (t = 7.046, p < 0.001, d = 0.396), in terms of functional limitation (t = 2.178, p = 0.030, d = 0.125), physical pain (t = 7.880, p < 0.001,d = 0.436), psychological discomfort (t = 8.993, p < 0.001, d = 0.514), physical disability (t = 6.343, p < 0.001, d = 0.358), psychological disability (t = 5.592, p < 0.001, d = 0.315), social disability (t = 5.301, p < 0.001,d = 0.304), social handicap (t = 4.452, p < 0.001, d = 0.253), and that in the non-clinical populations, females scored significantly higher than males, as did in terms of physical pain (t = 3.055, p = 0.002, d = 0.280), psychological discomfort (t = 2.478, p = 0.014, d = 0.222), and psychological disability (t = 2.067, p = 0.039, d = 0.188). CONCLUSION: This study found that the Chinese version of OHIP-14 has measurement invariance between the clinical and non-clinical populations and across genders in the clinical populations, and can be widely used in OHRQoL assessment for public oral investigations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-023-03310-6.
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spelling pubmed-104638972023-08-30 Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations Yang, Guang-Hui Feng, Yao Xue, Lan-Xin Ou-Yang, Ze-Yue Yang, Yi-Fan Zhao, Ya-Qiong Zhao, Jie Hu, Jing Ye, Qin Su, Xiao-Lin Chen, Ning-Xin Zhong, Meng-Mei Feng, Yun-Zhi Guo, Yue BMC Oral Health Research OBJECTIVE: Oral health-related quality of life (OHRQoL) is a multidimensional concept that is commonly used to examine the impact of oral health status on quality of life. The purpose of this study was to examine the optimal factor model of the Chinese version of the Oral Health Impact Profile (OHIP-14) questionnaire in clinical populations, measurement invariance across clinical status and gender cohorts. This would ensure equal validity of the Chinese version of OHIP-14 in different populations and further support public oral investigations. METHODS: The Chinese version of OHIP-14 was used to investigate 490 dental patients and 919 college students. Confirmatory factor analysis (CFA), item analysis and reliability, measurement invariance, and the t-test were used for data analyses. RESULTS: We found that the 7-factor structure had the best-fit index in the sample (CFI = 0.970, TLI = 0.952; SRMR = 0.029, RMSEA = 0.052(0.040,0.063)). The reliability of the scales was satisfactory (Cronbach’s α = 0.942). The error variance invariance fitted the data adequately in measurement invariance, indicating that measurement invariance is acceptable both across the clinical and non-clinical populations (∆CFI=-0.017, ∆RMSEA = 0.010) and across genders in the clinical population (∆CFI = 0.000, ∆RMSEA=-0.003). T-test for scores showed that the clinical populations scored significantly higher than the non-clinical populations, as did the overall score (t = 7.046, p < 0.001, d = 0.396), in terms of functional limitation (t = 2.178, p = 0.030, d = 0.125), physical pain (t = 7.880, p < 0.001,d = 0.436), psychological discomfort (t = 8.993, p < 0.001, d = 0.514), physical disability (t = 6.343, p < 0.001, d = 0.358), psychological disability (t = 5.592, p < 0.001, d = 0.315), social disability (t = 5.301, p < 0.001,d = 0.304), social handicap (t = 4.452, p < 0.001, d = 0.253), and that in the non-clinical populations, females scored significantly higher than males, as did in terms of physical pain (t = 3.055, p = 0.002, d = 0.280), psychological discomfort (t = 2.478, p = 0.014, d = 0.222), and psychological disability (t = 2.067, p = 0.039, d = 0.188). CONCLUSION: This study found that the Chinese version of OHIP-14 has measurement invariance between the clinical and non-clinical populations and across genders in the clinical populations, and can be widely used in OHRQoL assessment for public oral investigations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-023-03310-6. BioMed Central 2023-08-24 /pmc/articles/PMC10463897/ /pubmed/37620833 http://dx.doi.org/10.1186/s12903-023-03310-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yang, Guang-Hui
Feng, Yao
Xue, Lan-Xin
Ou-Yang, Ze-Yue
Yang, Yi-Fan
Zhao, Ya-Qiong
Zhao, Jie
Hu, Jing
Ye, Qin
Su, Xiao-Lin
Chen, Ning-Xin
Zhong, Meng-Mei
Feng, Yun-Zhi
Guo, Yue
Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations
title Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations
title_full Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations
title_fullStr Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations
title_full_unstemmed Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations
title_short Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations
title_sort factorial structure and measurement invariance of the chinese version of the oral health impact profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463897/
https://www.ncbi.nlm.nih.gov/pubmed/37620833
http://dx.doi.org/10.1186/s12903-023-03310-6
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