Association between Oral Health-Related and Health-Related Quality of Life

Stella Sekulić; Mike T. John; Cynthia Davey; Ksenija Rener-Sitar

Open Access

Association between Oral Health-Related and Health-Related Quality of Life

and

| Apr 06, 2020

Slovenian Journal of Public Health

Volume 59 (2020): Issue 2 (June 2020)

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Cite

Published Online: Apr 06, 2020

Page range: 65 - 74

Received: Oct 21, 2019

Accepted: Feb 06, 2020

DOI: https://doi.org/10.2478/sjph-2020-0009

Keywords
oral health, health, quality of life, self report, surveys and questionnaires, depressive disorder, public health, structural equation modeling, correlation of data, evidence-based dentistry

© 2020 Stella Sekulić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Structural equation modeling confirmatory factor analysis for correlations of one second-ordered global OHRQoL measure (OHIP-49) and two first-ordered HRQoL measures (PROMIS v.1.1 Global Health).Note: Circles reflect latent constructs, and rectangles represent measured variables.

Structural Equation Modeling Path Analysis for correlations of one second-ordered global OHRQoL measure (OHIP-49) and two first-ordered HRQoL measures (PROMIS v.1.1 Global Health).Note: Circles reflect latent constructs, and rectangles represent measured variables.

Model 1 estimated correlation matrix for first and second-order OHRQoL and HRQoL factors from structural equation modeling confirmatory factor analysis.

Factors	Physical Health	Mental Health	OHRQoL	Oral Function	Orofacial Appearance	Orofacial Pain	Psychosocial Impact
Physical Health	1.00
Mental Health	0.89	1.00
OHRQoL	0.55	0.51	1.00
Oral Function	0.45	0.41	0.81	1.00
Orofacial Appearance	0.49	0.45	0.88	0.72	1.00
Orofacial Pain	0.46	0.42	0.83	0.67	0.73	1.00
Psychosocial Impact	0.54	0.50	0.98	0.79	0.86	0.81	1.00

Estimated correlation matrix for first and second-order factors from structural equation modeling confirmatory factor analysis for Model 2.

Factors	HRQoL	Physical Health	Mental Health	OHRQoL	Oral Function	Orofacial Appearance	Orofacial Pain	Psychosocial Impact
HRQoL	1.00
Physical Health	0.98	1.00
Mental Health	0.90	0.89	1.00
OHRQoL	0.56	0.55	0.51	1.00
Oral Function	0.46	0.45	0.41	0.81	1.00
Orofacial Appearance	0.50	0.49	0.45	0.88	0.72	1.00
Orofacial Pain	0.47	0.46	0.42	0.83	0.67	0.73	1.00
Psychosocial Impact	0.55	0.54	0.50	0.98	0.79	0.86	0.81	1.00

Dental patients’ demographic and clinical characteristics.

Dental patients (n=2,076)	mean (SD) or %
Demographics
Gender (female)	59.7
Age (years)	54.7 (16.2)
Language
English	84.5
Spanish	15.5
Ethnicity
Hispanic or Latino	12.3
Unknown	87.7
Self-reported oral health
Excellent	6.5
Very good	24.1
Good	35.2
Moderate	25.6
Poor	8.5
Self-reported general health
Excellent	10.3
Very good	36.8
Good	38.4
Moderate	13.0
Poor	1.3
OHIP summary scores
OHIP-49	32.0 (32.3)
OHIP-14	7.7 (9.4)
OHIP-5	3.4 (3.7)
OHIP-49 dimensional scores
Oral Function	6.4 (7.6)
Orofacial Pain	6.0 (5.7)
Orofacial Appearance	6.9 (7.0)
Psychosocial Impact	7.8 (12.0)
PROMIS v.1.1 Global Health dimensional scores
Physical Health	15.3 (2.9)
Mental Health	15.1 (3.0)

Model Fit Indices of Model 1, Model 2, and Model 3.

Model Fit Indices	Model 1	Model 2	Model 3
Model Fit Indices	Index value
Comparative Fit Index (CFI)	0.96	0.96	0.94
Tucker-Lewis Index (TLI)	0.95	0.95	0.94
Standardized Root Mean Square Residual (RMSEA)	0.06 (95%CI:0.063–0.065)	0.06 (95%CI:0.063–0.065)	0.06 (95%CI:0.061–0.063)
Weighted Root Mean Square Residual (WRMR)	3.14	3.14	3.16

Estimated correlation matrix for first and second-order factors adjusted for age, gender, and depression score for Model 3.

Factors	Physical Health	Mental Health	OHRQoL	Oral Function	Orofacial Appearance	Orofacial Pain	Psychosocial Impact
Physical Health	1.00
Mental Health	0.87	1.00
OHRQoL	0.52	0.47	1.00
Oral Function	0.43	0.39	0.83	1.00
Orofacial Appearance	0.46	0.42	0.88	0.73	1.00
Orofacial Pain	0.43	0.39	0.83	0.68	0.73	1.00
Psychosocial Impact	0.50	0.46	0.97	0.80	0.86	0.80	1.00

The structural equation modeling path analysis model estimated standardized regression coefficients (SE). Standardized estimates are for the mean change in factor score for one standard deviation increase in the independent variable.

Independent variables	Factors

	OHRQoL		Physical Health		Mental Health

	Estimate (SE)	p-value	Estimate (SE)	p-value	Estimate (SE)	p-value
Age	0.052 (0.023)	0.024	−0.167 (0.022)	<0.001	0.007 (0.018)	0.704
Female	−0.029 (0.023)	0.195	−0.101 (0.022)	<0.001	−0.055 (0.018)	0.003
Depression score	−0.410 (0.019)	<0.001	−0.520 (0.018)	<0.001	−0.663 (0.012)	<0.001

eISSN:: 1854-2476
Language:: English

Publication timeframe:: 4 times per year
Journal Subjects:: Medicine, Clinical Medicine, Hygiene and Environmental Medicine

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Association between Oral Health-Related and Health-Related Quality of Life

Article Category: Original scientific article

Published Online: Apr 06, 2020

Page range: 65 - 74

Received: Oct 21, 2019

Accepted: Feb 06, 2020

DOI: https://doi.org/10.2478/sjph-2020-0009

Keywords
oral health, health, quality of life, self report, surveys and questionnaires, depressive disorder, public health, structural equation modeling, correlation of data, evidence-based dentistry

© 2020 Stella Sekulić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Figure 3

Model 1 estimated correlation matrix for first and second-order OHRQoL and HRQoL factors from structural equation modeling confirmatory factor analysis.

Estimated correlation matrix for first and second-order factors from structural equation modeling confirmatory factor analysis for Model 2.

Dental patients’ demographic and clinical characteristics.

Model Fit Indices of Model 1, Model 2, and Model 3.

Estimated correlation matrix for first and second-order factors adjusted for age, gender, and depression score for Model 3.

The structural equation modeling path analysis model estimated standardized regression coefficients (SE). Standardized estimates are for the mean change in factor score for one standard deviation increase in the independent variable.

Association between Oral Health-Related and Health-Related Quality of Life

Article Category: Original scientific article

Published Online: Apr 06, 2020

Page range: 65 - 74

Received: Oct 21, 2019

Accepted: Feb 06, 2020

DOI: https://doi.org/10.2478/sjph-2020-0009

Keywordsoral health, health, quality of life, self report, surveys and questionnaires, depressive disorder, public health, structural equation modeling, correlation of data, evidence-based dentistry

© 2020 Stella Sekulić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Figure 3

Model 1 estimated correlation matrix for first and second-order OHRQoL and HRQoL factors from structural equation modeling confirmatory factor analysis.

Estimated correlation matrix for first and second-order factors from structural equation modeling confirmatory factor analysis for Model 2.

Dental patients’ demographic and clinical characteristics.

Model Fit Indices of Model 1, Model 2, and Model 3.

Estimated correlation matrix for first and second-order factors adjusted for age, gender, and depression score for Model 3.

The structural equation modeling path analysis model estimated standardized regression coefficients (SE). Standardized estimates are for the mean change in factor score for one standard deviation increase in the independent variable.

Keywords
oral health, health, quality of life, self report, surveys and questionnaires, depressive disorder, public health, structural equation modeling, correlation of data, evidence-based dentistry