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Psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling

BACKGROUND: Psychosocial factors and dentist-patient relationships (DPR) have been suggested to be associated with oral health outcomes. This study aimed to test a conceptual model which hypothesised relationships among psychosocial factors, DPR variables, and oral health-related quality of life (OH...

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Autores principales: Song, Youngha, Luzzi, Liana, Brennan, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696761/
https://www.ncbi.nlm.nih.gov/pubmed/38049808
http://dx.doi.org/10.1186/s12955-023-02214-x
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author Song, Youngha
Luzzi, Liana
Brennan, David
author_facet Song, Youngha
Luzzi, Liana
Brennan, David
author_sort Song, Youngha
collection PubMed
description BACKGROUND: Psychosocial factors and dentist-patient relationships (DPR) have been suggested to be associated with oral health outcomes. This study aimed to test a conceptual model which hypothesised relationships among psychosocial factors, DPR variables, and oral health-related quality of life (OHRQoL) in the ‘distal-to-proximal’ framework. METHODS: A total of 12,245 adults aged 18 years or over living in South Australia were randomly sampled for the study. Data were collected from self-complete questionnaires in 2015–2016. The outcome variable of Oral Health Impact Profile was used to measure OHRQoL. Psychosocial domain consisted of psychological well-being, social support, and health self-efficacy. DPR domain included trust in dentists, satisfaction with dental care, and dental fear. The hypothesised model was tested using the two-step approach in structural equation modelling. RESULTS: Data were analysed from 3767 respondents after the screening/preparing process (adjusted valid response rate 37.4%). In the first step of the analysis, confirmatory factor analyses produced acceptable measurement models for each of the six latent variables (GFI = 0.95, CFI = 0.98, RMSEA = 0.04). The final structural model indicated that better well-being, higher self-efficacy, and more satisfaction were associated with lower oral health impact (β = − 0.12, − 0.07, − 0.14, respectively) whereas fear was positively associated (β = 0.19). Among intermediates, support was positively associated with satisfaction within a small effect size (β = 0.06) as compared to self-efficacy with trust (β = 0.22). The invariance of the final model was also confirmed on participants’ SES and dental service characteristics except the variable of ‘last dental visit’. CONCLUSIONS: Psychosocial factors and DPR variables were associated with oral health impact in both direct and indirect paths. The framework of ‘distal-to-proximal’ actions is empirically supported from psychosocial factors via DPR variables to OHRQoL. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12955-023-02214-x.
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spelling pubmed-106967612023-12-06 Psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling Song, Youngha Luzzi, Liana Brennan, David Health Qual Life Outcomes Research BACKGROUND: Psychosocial factors and dentist-patient relationships (DPR) have been suggested to be associated with oral health outcomes. This study aimed to test a conceptual model which hypothesised relationships among psychosocial factors, DPR variables, and oral health-related quality of life (OHRQoL) in the ‘distal-to-proximal’ framework. METHODS: A total of 12,245 adults aged 18 years or over living in South Australia were randomly sampled for the study. Data were collected from self-complete questionnaires in 2015–2016. The outcome variable of Oral Health Impact Profile was used to measure OHRQoL. Psychosocial domain consisted of psychological well-being, social support, and health self-efficacy. DPR domain included trust in dentists, satisfaction with dental care, and dental fear. The hypothesised model was tested using the two-step approach in structural equation modelling. RESULTS: Data were analysed from 3767 respondents after the screening/preparing process (adjusted valid response rate 37.4%). In the first step of the analysis, confirmatory factor analyses produced acceptable measurement models for each of the six latent variables (GFI = 0.95, CFI = 0.98, RMSEA = 0.04). The final structural model indicated that better well-being, higher self-efficacy, and more satisfaction were associated with lower oral health impact (β = − 0.12, − 0.07, − 0.14, respectively) whereas fear was positively associated (β = 0.19). Among intermediates, support was positively associated with satisfaction within a small effect size (β = 0.06) as compared to self-efficacy with trust (β = 0.22). The invariance of the final model was also confirmed on participants’ SES and dental service characteristics except the variable of ‘last dental visit’. CONCLUSIONS: Psychosocial factors and DPR variables were associated with oral health impact in both direct and indirect paths. The framework of ‘distal-to-proximal’ actions is empirically supported from psychosocial factors via DPR variables to OHRQoL. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12955-023-02214-x. BioMed Central 2023-12-04 /pmc/articles/PMC10696761/ /pubmed/38049808 http://dx.doi.org/10.1186/s12955-023-02214-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Song, Youngha
Luzzi, Liana
Brennan, David
Psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling
title Psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling
title_full Psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling
title_fullStr Psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling
title_full_unstemmed Psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling
title_short Psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling
title_sort psychosocial factors, dentist-patient relationships, and oral health-related quality of life: a structural equation modelling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696761/
https://www.ncbi.nlm.nih.gov/pubmed/38049808
http://dx.doi.org/10.1186/s12955-023-02214-x
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