Rafael A Bomfim1, Luciana B de Souza2, José E Corrente3. 1. School of Dentistry, Department of Community Health, Federal University of Mato Grosso do Sul (UFMS), Campo Grande, Brazil. 2. School of Nutrition, Department of Community Health, Federal University of Mato Grosso do Sul (UFMS), Campo Grande, Brazil. 3. Bioscience Institute, University of São Paulo State (UNESP), Botucatu, São Paulo, Brazil.
Abstract
OBJECTIVE: This study aimed at assessing the relationship between self-perceived tooth loss and wearing dentures, on the one hand, and the consumption of protein, on the other hand, among the elderly population of Botucatu, SP. Food consumption tends to decrease with ageing, especially protein intake, and one of the causes could be the precariousness of oral health. Several risk factors associated with deficient dietary protein intake have been identified, namely greater physical dependence, reduced caloric intake and food insecurity, but no studies have analysed whether tooth loss and prostheses interfere with protein intake. METHODS: An interview was conducted among 365 elderly individuals, in which we examined oral health-related quality of life (OHRQoL) as the only latent variable, in a 24-hour nutritional assessment dietary recall repeated 3 times, conducted in person by a trained nutritionist and also performed an analysis of nutritional needs using the Nutrition Data System Research (NDSR) Program. RESULTS: The structural equation model, performed using Stata v.14, showed that lack of teeth (standardised coefficient [SC] = 0.21, P < .001), and prosthesis use (SC = -0.21, P < .001) was associated with OHRQoL. Lack of teeth had a direct effect on the consumption of animal protein (SC = 0.08, P = .02), a strong total effect on animal protein intake (SC = 0.51, P = .04) and a medium effect on total protein intake (SC = 0.20, P = .03), adjusted for confounders (depression and medical problems). CONCLUSION: Tooth loss had a strong and significant total effect on animal protein intake and a medium effect on total protein intake among elderly Brazilians.
OBJECTIVE: This study aimed at assessing the relationship between self-perceived tooth loss and wearing dentures, on the one hand, and the consumption of protein, on the other hand, among the elderly population of Botucatu, SP. Food consumption tends to decrease with ageing, especially protein intake, and one of the causes could be the precariousness of oral health. Several risk factors associated with deficient dietary protein intake have been identified, namely greater physical dependence, reduced caloric intake and food insecurity, but no studies have analysed whether tooth loss and prostheses interfere with protein intake. METHODS: An interview was conducted among 365 elderly individuals, in which we examined oral health-related quality of life (OHRQoL) as the only latent variable, in a 24-hour nutritional assessment dietary recall repeated 3 times, conducted in person by a trained nutritionist and also performed an analysis of nutritional needs using the Nutrition Data System Research (NDSR) Program. RESULTS: The structural equation model, performed using Stata v.14, showed that lack of teeth (standardised coefficient [SC] = 0.21, P < .001), and prosthesis use (SC = -0.21, P < .001) was associated with OHRQoL. Lack of teeth had a direct effect on the consumption of animal protein (SC = 0.08, P = .02), a strong total effect on animal protein intake (SC = 0.51, P = .04) and a medium effect on total protein intake (SC = 0.20, P = .03), adjusted for confounders (depression and medical problems). CONCLUSION:Tooth loss had a strong and significant total effect on animal protein intake and a medium effect on total protein intake among elderly Brazilians.
Authors: Eftychia Kotronia; Heather Brown; A Olia Papacosta; Lucy T Lennon; Robert J Weyant; Peter H Whincup; S Goya Wannamethee; Sheena E Ramsay Journal: Br J Nutr Date: 2021-01-20 Impact factor: 3.718
Authors: Rafael Aiello Bomfim; Antonio Carlos Frias; Claudio Mendes Pannuti; Celso Zilbovicius; Antonio Carlos Pereira Journal: PLoS One Date: 2018-11-07 Impact factor: 3.240