Evidence map›Paper›PMID 38049808›Full record

ArticleHealth and quality of life outcomes2023

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

Youngha Song, Liana Luzzi, David Brennan

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Article in Health and quality of life outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Youngha SongDepartment of Preventive and Social Dentistry, School of Dentistry, Seoul National University, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, South Korea. youngha.song@snu.ac.kr.
Liana LuzziAustralian Research Centre for Population Oral Health, The University of Adelaide, Adelaide, SA, Australia.
David BrennanAustralian Research Centre for Population Oral Health, The University of Adelaide, Adelaide, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychosocial 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.

methodsA 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.

resultsData 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'.

conclusionsPsychosocial 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.

Indexed as

Dentist-Patient RelationsQuality of LifeAdultHumansLatent Class AnalysisOral HealthSurveys and QuestionnairesDentist-patient relationsHealth-related quality of lifeOral healthPsychosocialSouth Australia

Identifiers

PMID38049808
PMCPMC10696761

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.