ArticleJournal of International Society of Preventive & Community Dentistry
Impact of Dental Status on Oral Health-related Quality of Life in Children with Missing or Multiple Teeth in Saudi Arabia: A Cross-sectional Analysis.
Article in Journal of International Society of Preventive & Community Dentistry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objectives: This study assessed associations between dental health status and oral health-related quality of life (OHRQoL) in 11-14-year-old children at a Saudi university pediatric dental clinic, identifying clinical and psychosocial predictors of OHRQoL. Methods: A cross-sectional study recruited 385 children (71.7% Saudi, 28.3% non-Saudi) via convenience sampling. Clinical measures included dental caries [decayed, missing, and filled teeth (DMFT) index], Plaque index, and Dental Aesthetic Index (DAI) per World Health Organization/International caries detection and assessment system criteria. OHRQoL was assessed using the validated Arabic Child Perceptions Questionnaire 11-14. Self-reported perceptions of general/oral health and dental aesthetics were collected. Non-parametric tests (Kruskal-Wallis, Mann-Whitney with Bonferroni correction), Spearman correlations, and multiple linear regression were performed ( Results: The sample comprised 68.8% older adolescents (13-14 years) with a balanced gender distribution (51.9% male). Contrary to expectations, objective clinical measures showed no significant associations with OHRQoL. Neither DMFT [ Conclusion: In this convenience sample, objective clinical measures (DMFT, DAI) did not predict OHRQoL. Quality of life was predominantly influenced by age, participant background, and self-perceptions of oral health and aesthetics, reflecting the psychosocial significance of this developmental stage. Convenience sampling from a single clinic limits generalizability. Future interventions should integrate psychosocial support with clinical care and address health care access disparities. Population-based studies are needed for validation.
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