• Alexandra Lucia Vigu, Dorin Stanciu, Lucia Maria Lotrean, and Radu Septimiu Campian.
• Department of Dental Materials and Ergonomics, "Iuliu Haţieganu" University of Medicine and Pharmacy.
• Patient Prefer Adher. 2018 Jan 1; 12: 539-549.

PurposeThe purpose of this study was to develop and test a moderated mediation model that was able to describe the relationships between oral health-related attitudes and behaviors, oral health status (OHS), and oral health-related quality of life. The hypothesized relations corresponded to research questions such as "is a person's oral health predicted by the actions that person takes in order to prevent oral health conditions?" and "do individuals with better oral health also have higher levels of oral health-related quality of life?".Materials And MethodsA cross-sectional correlational study with selected predictor variables was conducted in Cluj-Napoca, Romania, among 191 participants, enrolled in the fourth and sixth years of study at the Dentistry School of the Medicine and Pharmacology, University of Cluj-Napoca. Participants completed the Hiroshima University Dental Behavior Inventory (HUDBI) questionnaire targeting specific behavior and attitude with respect to their dental self-care, Oral Health Impact Profile (OHIP) short questionnaire for measuring oral health-related quality of life, and the current OHS was assessed objectively using Decayed, Missing, Filled Teeth/Surfaces (DMFT) index. Statistical analyses were done using structural equation modeling software.ResultsOur research showed relevant associations between HUDBI, DMFT, and OHIP. The relationship between HUDBI and OHIP was mediated by DMFT. Furthermore, HUDBI worked as a moderator between DMFT and OHIP. Thus, our study revealed a case for moderated mediation, which is usually ignored in similar research.ConclusionThe "straightforward" causality between oral health-related behavior and the actual OHS must be considered with caution, as well as their impact on the oral health-related quality of life. Further research is needed to investigate the interaction between variables, the strength of the interrelations and the magnitude of their interactions, and the confidence that can be placed in these measurements, with respect to the general population and/or those lacking domain-specific education.

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