Evidence map›Paper›PMID 37620833›Full record

ArticleBMC oral health2023

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.

Guang-Hui Yang, Yao Feng, Lan-Xin Xue, Ze-Yue Ou-Yang, Yi-Fan Yang, Ya-Qiong Zhao, Jie Zhao, Jing Hu, Qin Ye, Xiao-Lin Su and 4 more

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Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Guang-Hui Yang *Department of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Yao Feng *Department of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Lan-Xin XueDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Ze-Yue Ou-YangDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Yi-Fan YangDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Ya-Qiong ZhaoDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Jie ZhaoDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Jing HuDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Qin YeDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Xiao-Lin SuDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Ning-Xin ChenDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Meng-Mei ZhongDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Yun-Zhi FengDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China. fengyunzhi001@csu.edu.cn.
Yue GuoDepartment of Stomatology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China. guoyue@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOral 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.

methodsThe 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.

resultsWe 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).

conclusionThis 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.

Indexed as

Oral HealthQuality of LifeAsian PeopleFemaleHumansMalePainReproducibility of ResultsConfirmatory factor analysisMeasurement invarianceOral Health Impact Profile-14Oral health-related quality of lifeOral investigations

Identifiers

PMID37620833
PMCPMC10463897

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