结构方程建模
社会心理的
生活质量(医疗保健)
验证性因素分析
临床心理学
口腔健康
社会支持
潜变量
自我效能感
心理学
生活满意度
医学
老年学
牙科
精神科
社会心理学
护理部
统计
人工智能
计算机科学
数学
作者
Youngha Song,Liana Luzzi,David S. Brennan
标识
DOI:10.1186/s12955-023-02214-x
摘要
Abstract 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.
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