Links between oral health-related quality of life in US adults and type 2 diabetes: structural equation modeling analysis

Giang Vu Bert B. Little Robert Esterhay J’Aime Jennings Liza Creel Lawrence Gettleman

Links between oral health-related quality of life in US adults and type 2 diabetes: structural equation modeling analysis

Authors: Giang Vu Bert B. Little Robert Esterhay J’Aime Jennings Liza Creel Lawrence Gettleman
doi: 10.1922/CDH_00213Vu08

Abstract

Objectives: To analyze the effects of type 2 diabetes mellitus (T2DM), need for dental care, personal health practices and use of services on oral health-related quality of life (OHRQoL) in US adults. Basic research design: The sample included 2,945 participants (aged ≥ 20) selected from the National Health and Nutrition Examination Survey (NHANES) 2003-2004 stratified probability sample that represented 124,525,899 individuals in the weighted sample. Two-stage structural equation modelling (SEM) assessed interrelationships between T2DM regressions on factors associated with OHRQoL in a simplified three-factor Andersen Behavioral Model (ABM). Results: SEM supported the hypotheses that T2DM directly predicted need (perceived need, evaluated need, general health condition) with a significant path coefficient of 0.49 (β=0.49, p<0.05). Need had direct (77%) and indirect (23%) effects on OHRQoL (βdirect=0.30, βindirect=0.09, p< 0.001). Need predicted personal health practices including use of services (reason for dental visit, frequency of dental visits, smoking status) (β=0.46, p<0.001). Need, in turn, predicted OHRQoL (β=0.19, p<0.001). In the model, 23.8%, 59.7%, and 18.1% of the variance was explained by need, personal health practices including use of services, and OHRQoL, respectively. Conclusions: The results confirmed T2DM predicted need, which in sequence had direct and indirect effects on OHRQoL. Keywords: Quality of Life, Oral Health, United States, Type 2 diabetes, Structural Equation Modeling

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