Radhamoni Madhavan Pillai Baiju1, Elbe Peter2, Nettiyat Oommen Varghese3, Jolly Mary Varughese4, Remadevi Sivaram5, Vivek Narayan6. 1. Department of Periodontics, Government Dental College, Kottayam, Kerala, India. 2. Department of Orthodontics, Government Dental College, Kottayam, Kerala, India. 3. Department of Endodontics, PMS Dental College, Vattappara PO, Trivandrum, Kerala, India. 4. Department of Endodontics, Directorate of Medical Education, Trivandrum, Kerala, India. 5. Department of Social Sciences, School of Health Policy and Planning Studies, Kerala University of Health Sciences, Trivandrum, Kerala, India. 6. Department of Public Health Dentistry, Government Dental College, Kottayam, Kerala, India.
Abstract
BACKGROUND: Oral health-related quality of life (OHRQoL) perception is age-dependent and therefore different for children, adolescents, and adults. Adolescents are a critical age group with specific oral health needs. Oral health needs assessment is not complete without the estimation of OHRQoL. OBJECTIVE: To develop and validate an OHRQoL scale for older adolescents considering their functional, social, emotional, academic, and economic situation. METHODS: All steps in psychometric tool development including face, content, and translational validity, pretesting, piloting, and factor analysis were followed. Construct validity was further tested using a cross-sectional study on 400 senior secondary students. Sociodemographic data, Decayed Missing Filled Teeth, Dental Aesthetic Index, and Community Periodontal Index were used to test construct validity. RESULTS: A 20-item tool with five domains (intraclass correlation of 0.857, Cronbach's alpha of 0.811, variance of 64.25%) was developed. Convergent validity was established with a single-item global question and discriminant validity with clinical indices. In the multivariate logistic regression model, malocclusion emerged as the most significant predictor for poor OHRQoL adjusting for socioeconomic status, dental caries, gingival bleeding, and last dental visit. Dental caries and last dental visit also significantly predicted poor OHRQoL in the adjusted regression model. CONCLUSION: The new tool has sound psychometric properties, is relatively short, culturally equivalent, age-specific, and can assess both positive and negative aspects of adolescent oral health. Further testing in longitudinal studies is required to determine its usefulness as an outcome measure.
BACKGROUND: Oral health-related quality of life (OHRQoL) perception is age-dependent and therefore different for children, adolescents, and adults. Adolescents are a critical age group with specific oral health needs. Oral health needs assessment is not complete without the estimation of OHRQoL. OBJECTIVE: To develop and validate an OHRQoL scale for older adolescents considering their functional, social, emotional, academic, and economic situation. METHODS: All steps in psychometric tool development including face, content, and translational validity, pretesting, piloting, and factor analysis were followed. Construct validity was further tested using a cross-sectional study on 400 senior secondary students. Sociodemographic data, Decayed Missing Filled Teeth, Dental Aesthetic Index, and Community Periodontal Index were used to test construct validity. RESULTS: A 20-item tool with five domains (intraclass correlation of 0.857, Cronbach's alpha of 0.811, variance of 64.25%) was developed. Convergent validity was established with a single-item global question and discriminant validity with clinical indices. In the multivariate logistic regression model, malocclusion emerged as the most significant predictor for poor OHRQoL adjusting for socioeconomic status, dental caries, gingival bleeding, and last dental visit. Dental caries and last dental visit also significantly predicted poor OHRQoL in the adjusted regression model. CONCLUSION: The new tool has sound psychometric properties, is relatively short, culturally equivalent, age-specific, and can assess both positive and negative aspects of adolescent oral health. Further testing in longitudinal studies is required to determine its usefulness as an outcome measure.
Authors: Aistė Kavaliauskienė; Antanas Šidlauskas; Miglė Žemaitienė; Eglė Slabšinskienė; Apolinaras Zaborskis Journal: Int J Environ Res Public Health Date: 2020-06-08 Impact factor: 3.390
Authors: Johana Alejandra Moreno-Drada; Alex Junio Silva da Cruz; Matheus Luis Soares de Faria; Luís Otávio Miranda Cota; Maria Auxiliadora Parreiras Martins; Isabela Almeida Pordeus; Mauro Henrique Nogueira Guimarães de Abreu Journal: Int J Environ Res Public Health Date: 2021-04-02 Impact factor: 3.390