Predictive Model of Clinical Attachment Loss and Oral Health-Related Quality of Life through Depressive Symptomatology, Oral Hygiene Habits, and Proinflammatory Biomarkers: A Pilot Study
Autor: | José Moral de la Rubia, Andrea Guadalupe Alcázar Pizaña, Norma Idalia Rodríguez Franco |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
interleukin-1β
Population matrix metalloproteinase-8 Oral hygiene Article 03 medical and health sciences 0302 clinical medicine Quality of life depressive disorder Medicine Risk factor education General Dentistry periodontitis Depression (differential diagnoses) 030304 developmental biology Periodontitis 0303 health sciences education.field_of_study business.industry interleukin-6 oral hygiene biomarkers 030206 dentistry medicine.disease Mental health lcsh:RK1-715 Clinical attachment loss quality of life lcsh:Dentistry business Clinical psychology |
Zdroj: | Dentistry Journal Volume 8 Issue 1 Dentistry Journal, Vol 8, Iss 1, p 20 (2020) |
ISSN: | 2304-6767 |
Popis: | Subjective aspects such as oral health-related quality of life (OHRQoL) and depression are important aspects in the periodontal care. The objectives of the study were to test a predictive model of clinical attachment loss and OHRQoL in a pooled sample of dental patients with periodontitis and mental health patients with depressive symptomatology, and test the invariance of the model across both types of patients. Three self-report scales were applied to assess depression, OHRQoL and oral hygiene habits, saliva samples were collected for three proinflammatory biomarkers, and the clinical attachment loss was measured in 35 patients with periodontitis and 26 patients with depressive symptomatology. Data were analyzed through structural equation modeling. The one-group analysis revealed a psychosomatic complaint model of disagreement between the complaint and the clinically observable. In the multi-group analysis, the model was not invariant. It was necessary to introduce a singularity in relation to depressive symptomatology for each population. Thus, a good and equivalent fit was achieved between the six nested models in constraints, as well as equivalent parameters between both types of patients. The study of a dental population in conjunction with a mental health population with a psychosomatic risk factor reveals interesting and unexpected results. |
Databáze: | OpenAIRE |
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