Associação entre perda dentária e obesidade em adultos: estudo de base populacional
Asociación entre pérdida dentaria y obesidad en adultos: estudio de base poblacional
Carla de Oliveira BernardoI; Antonio Fernando BoingI; Francisco de Assis Guedes de VasconcelosII; Karen Glazer PeresI; Marco Aurélio PeresI
IPrograma de Pós-graduação em Saúde Coletiva. Departamento de Saúde Pública. Centro de Ciências da Saúde. Universidade Federal de Santa Catarina. Florianópolis, SC, Brasil
IIPrograma de Pós-graduação em Nutrição. Departamento de Nutrição. Centro de Ciências da Saúde. Universidade Federal de Santa Catarina. Florianópolis, SC, Brasil
OBJECTIVE: To examine the association between tooth loss and general and central obesity among adults.
METHODS: Population-based cross-sectional study with 1,720 adults aged 20 to 59 years from Florianópolis, Southern Brazil. Home interviews were performed and anthropometric measures were taken. Information on sociodemographic data, self-reported diabetes, self-reported number of teeth, central obesity (waist circumference [WC] > 88 cm in women and > 102 cm in men) and general obesity (body mass index [BMI] ≥ 30 kg/m2) was collected. We used multivariable Poisson regression models to assess the association between general and central obesity and tooth loss after controlling for confounders. We also performed simple and multiple linear regressions by using BMI and WC as continuous variables. Interaction between age and tooth loss was also assessed.
RESULTS: The mean BMI was 25.9 kg/m2 (95%CI 25.6;26.2) in men and 25.4 kg/m2 (95%CI 25.0;25.7) in women. The mean WC was 79.3 cm (95%CI 78.4;80.1) in men and 88.4 cm (95%CI 87.6;89.2) in women. A positive association was found between the presence of less than 10 teeth in at least one arch and increased mean BMI and WC after adjusting for education level, self-reported diabetes, gender and monthly per capita income. However, this association was lost when the variable age was included in the model. The prevalence of general obesity was 50% higher in those with less than 10 teeth in at least one arch when compared with those with 10 or more teeth in both arches after adjusting for education level, self-reported diabetes and monthly per capita family income. However, the statistical significance was lost after controlling for age.
CONCLUSIONS: Obesity was associated with number of teeth, though it depended on the participants' age groups.
Descriptors: Tooth Loss, epidemiology. Obesity, epidemiology. Risk Factors. Socioeconomic Factors. Cross-Sectional Studies.
OBJETIVO: Analisar a associação entre perda dentária e obesidade geral e central em adultos.
MÉTODOS: Estudo transversal de base populacional com 1.720 adultos (20 a 59 anos) de Florianópolis, SC, em 2009. Entrevistas e medidas antropométricas foram realizadas nos domicílios. Foram incluídos dados sociodemográficos, diabetes e número de dentes autorreferidos, obesidade central (circunferência da cintura > 88 cm em mulheres e > 102 cm em homens) e geral (índice de massa corporal ≥ 30 kg/m2). Utilizou-se um modelo múltiplo por meio da regressão de Poisson para associações entre obesidade geral e central e perda dentária após controle pelas variáveis de confusão. Também foram realizadas análises de regressão linear simples e múltipla utilizando índice de massa corporal e circunferência da cintura como variáveis contínuas. A interação entre idade e perda dentária também foi investigada.
RESULTADOS: A média de índice de massa corporal foi 25,9 kg/m2 (IC95% 25,6;26,2) em homens e 25,4 kg/m2 (IC95% 25,0;25,7) em mulheres. A média de circunferência da cintura foi 79,3 cm (IC95% 78,4;80,1) nos homens e 88,4 cm (IC95% 87,6;89,2) nas mulheres. Observou-se associação positiva entre a presença de menos de dez dentes em pelo menos uma arcada e o aumento do índice de massa corporal e da circunferência da cintura após ajuste para escolaridade, diabetes autorreferida, sexo e renda mensal per capita. Entretanto, essa associação foi perdida quando a idade foi incluída no modelo. A prevalência de obesidade geral foi 50% maior em adultos que apresentavam menos de dez dentes em pelo menos uma arcada quando comparados àqueles com dez ou mais dentes em ambas as arcadas após ajuste para escolaridade, diabetes autorreferida e renda mensal per capita. Porém, a significância estatística foi perdida após controle pela idade.
CONCLUSÕES: Obesidade foi associada ao número de dentes, entretanto dependeu do grupo etário dos participantes.
Descritores: Perda de Dente, epidemiologia. Obesidade, epidemiologia. Fatores de Risco. Fatores Socioeconômicos. Estudos Transversais.
OBJETIVO: Analizar la asociación entre pérdida dentaria y obesidad general y central en adultos.
MÉTODOS: Estudio transversal de base poblacional con 1.720 adultos (20 a 59 años) de Florianópolis, Sur de Brasil, en 2009. Se realizaron entrevistas y medidas antropométricas en los domicilios. Se incluyeron datos sociodemográficos, diabetes y número de dientes auto-referidos, obesidad central (circunferencia de la cintura > 88 cm en mujeres y > 102 cm en hombres) y general (índice de masa corporal ≥ 30 kg/m2). Se utilizó un modelo múltiple por medio de la regresión de Poisson para asociaciones entre obesidad general y central y pérdida dentaria posterior al control por las variables de confusión. También se realizaron análisis de regresión linear simple y múltiple utilizando índice de masa corporal y circunferencia de la cintura como variables continuas. La interacción entre edad y pérdida dentaria también fue investigada.
RESULTADOS: El promedio de índice de masa corporal fue 25,9 kg/m2 (IC95% 25,6;26,2) en hombres y 25,4 kg/m2 (IC95% 25,0;25,7) en mujeres. El promedio de circunferencia de la cintura fue 79,3 cm (IC95% 78,4;80,1) en los hombres y 88,4 cm (IC95% 87,6;89,2) en las mujeres. Se observó asociación positiva entre la presencia de menos de diez dientes en al menos una arcada y el aumento del índice de masa corporal y de la circunferencia de la cintura luego del ajuste para escolaridad, diabetes auto-referida, sexo y renta mensual per cápita. Sin embargo, esta asociación se perdió al incluir la edad en el modelo. La prevalencia de obesidad general fue 50% mayor en adultos que presentaron menos de diez dientes en al menos una arcada, en comparación con aquellos con diez dientes o más en ambas arcadas luego del ajuste por escolaridad, diabetes auto-referida y renta mensual per cápita. No obstante, la significancia estadística se perdió posterior al control por edad.
CONCLUSIONES: La obesidad estuvo asociada al número de dientes, aun así, dependió del grupo etario de los participantes.
Descriptores: Pérdida de Diente, epidemiología. Obesidad, epidemiología. Factores de Riesgo. Factores Socioeconómicos. Estudios Transversales.
Obesity is a public health concern associated with chronic diseases such as diabetes and cardiovascular diseases. Its prevalence is increasing not only in high-income countries but also in medium- and low-income countries.19
In Brazil the prevalence of overweight and obesity increased progressively in the four national population-based surveys conducted between 1974-1975 and 2008-2009. In adults the prevalence of overweight increased from 15.7% to 37.7% in men and from 20.7% to 31.1% in women. During this same period, obesity increased from 2.8% to 12.4% and from 8.0% to 16.9% in men and women, respectively.ª
Some studies have shown an association between obesity and tooth loss.12,14 The most plausible explanation is an association between patterns of food intake with number of natural teeth. It has been documented that individuals who lost all their natural teeth may less frequently consume vegetables, dietary fiber, wholemeal bread than who those with natural teeth.15 In 2003, the prevalence of edentulism - complete tooth loss - among Brazilian adults aged 35 to 44 years was 9%, with a median tooth loss of 11. Tooth loss was strongly associated with living in rural areas, female gender, poor socioeconomic condition, low schooling, and older age.1 In this same age group, in 2010, mean tooth loss was 7.4 teeth and 9% had dental prosthesis.b
Most studies that assessed the association between tooth loss and obesity were carried out in elderly populations15 or only focused on the association between tooth loss and specific nutrient intake,7 studied small samples,10 and investigated specific populations.2
There are limited data associating tooth loss with obesity in adult populations. This is concerning because prevention and early detection programs may help reduce potential damage of tooth loss and related health effects later in life. Ostberg et al12 found an association between tooth loss and general obesity in a defined Swedish rural adult population, regardless of age, gender, socioeconomic status, lifestyle and comorbidities. To the best of our knowledge there are no other well-designed, population-based studies that investigated the association of obesity and tooth loss in adults controlling for well-known confounders.
This study aimed to assess the association between tooth loss and general and central obesity in adults.
A population-based cross-sectional study was carried out in Florianópolis, Southern Brazil, between September 2009 and January 2010. Florianópolis is the capital city of the state of Santa Catarina with a population of approximately 400,000 inhabitantsc. It has the highest health and social indicators in Brazil, including an infant mortality rate of 8 per 1,000 liveborns and a Municipal Human Development Index of 0.875 compared with 19.5 per 1,000 and 0.813, respectively, for Brazil as a whole.d The target population of this study included all adults aged 20 to 59 years living in the urban area of the city (almost 96% of the entire population), totaling nearly 240,000 inhabitants.
This study is a part of a comprehensive large study EpiFloripa 2009, a health survey conducted in adults to investigate self-rated health, self-reported diseases, oral health, health services utilization and main risk factors for chronic diseases, such as socioeconomic and demographic characteristics, diet, physical activity, blood pressure, anthropometric measurements, and alcohol and tobacco use.
The sample size was calculated to estimate the prevalence of each of the above mentioned outcomes considering the following parameters: unknown prevalence (50%), 95% confidence level, a sample error of 3.5 percentage points, a design effect of 2 due to the cluster sampling and an additional 10% to compensate for refusals. The minimum sample size estimated was 1,720. As the study was nested in a larger health survey, the final sample was 2,016 after estimating each of the studied outcomes. A posteriori we calculated the minimum sample size required to investigate the association between tooth loss (exposure) and general and central obesity (outcomes) adopting a 95% confidence level (error type I of 5%), a power of 80% (error type II of 20%), a minimum relative risk to be detected of 1.4, and a prevalence of the outcomes of 14% among the unexposed population. Finally, we added 10% to compensate for refusals. The final sample to test the association between tooth loss and obesity was 1,615 adults.
A two-stage sample selection was performed. First, we selected 60 census tracts among all 420 tracts in the urban area of the city. Second, we selected the occupied households and then all adult residents living there. All 420 urban census tracts were ordered according to the average monthly income of the household head.d We used a systematic sample of 60 census tracts (60/420 or 1/7), i.e., six census tracts in each income decile. All selected census tracts were visited by the fieldwork team and all occupied houses were checked and counted in order to update the number of residents in the selected clusters. As the number of households ranged from 61 to 810 households, some census tracts were merged to reduce the variability among the number of households in each tract and ensure a self-weighting sample. There were 63 census tracts totaling 16,755 eligible households, of which 1,134 were selected for this study. There were selected on average 32 adults in each census tract.
All adults aged 20 to 59 years and living in the selected households were eligible. Exclusion criteria included amputees; bedridden individuals; individuals with casts; individuals who could not remain in the required position for measurements; and those who not able to answer the questionnaire. All respondents were the adults selected; no other unselected individual was allowed to answer the questionnaire. Anthropometric and blood pressure measurements were not taken from pregnant women and women up to six months after delivery.
Home visits included a face-to-face questionnaire applied with the use of personal digital assistants (PDA), two blood pressure measurements and anthropometric measurements including weight, height and waist circumference (WC). All 35 interviewers/evaluators were women previously trained for field work. The questionnaire was pre-tested with 35 adults not included in the sample and who were living within the coverage area of a local health center. The pilot study included almost 100 adults living close to the research headquarters within two unselected census tracts.
Anthropometric measurements were taken following the proposed Lohman et al11 recommendations. Body weight (in kilograms, kg) was taken twice with portable scales (GAMA Italy Professional, HCM 5110 M®) with capacity of 150 kg, sensitivity of 100 g, calibrated before the training and field work. They were placed on a level surface and respondents were weighted wearing light clothes and standing with their feet placed together and their arms hanging at sides. Height was measured twice with a stadiometer specifically made for the study with an inelastic measuring tape with 1-mm resolution. The respondents were placed in the orthostatic position, barefoot, with the head in the Frankfurt position without any ornaments, placing shoulders, gluteal muscles and heels against the wall and feet side-by-side. Height was the average of two measures. Body mass index (BMI) was calculated as weight in kg divided by the square height in meters.
WC measures were taken using an anthropometric inelastic tape with millimeter markings (Sanny®) with 1-mm resolution. They were taken at the narrowest waist level, or if this was not apparent, at the midpoint between the lowest rib and the top of the iliac crest. Evaluators were instructed when recording to make sure the tape was not too tight or too loose, was lying flat on the skin and horizontal. WC was the average of two measures. Reliability measures were calculated as recommended by Ulijaszek & Kerr17 and Gore et al6 using technical measurement errors in percent point for both intra- and interevaluator errors. The inter- and intra-examiner technical error of measurement (TEM) was calculated according to the recommendations of Gore et al.6 The maximum inter-examiner TEM (1.86%) and intra-examiner TEM (1.18%) was found in the WC measure, which indicated an adequate level of interviewers for anthropometric measurements.
We analyzed two outcomes: general obesity using BMI as a binary variable (obese: ≥ 30 kg/m2 and non-obese: < 30 kg/m2) and central obesity using WC (obese: ≥ 102 cm for men and ≥ 88 cm for women; non-obese: < 102 cm for men and < 88 cm for women).18 In addition we used BMI and WC as continuous variables.
The number of self-reported remaining natural teeth for each dental arch was recorded as follows: ≥ 10 natural teeth; one to nine natural teeth; no natural teeth. A variable was created to include those with ≥ 10 natural teeth in both arches, < 10 teeth at least in one arch, and those completely edentulous.
The controlling variables included: gender; age (years); education level (years of schooling); monthly per capita income (in the Brazilian currency real: R$ 1.7 was U$ 1 at the time of data collection); self-reported skin color (white, black, brown); and self-reported diabetes. Skin color classification followed the Instituto Brasileiro de Geografia e Estatística (IBGE - Brazilian Institute of Geography and Statistics) recommendations. Monthly per capita income was calculated as the sum of incomes of all family members divided by the number of people living in the household. It was classified into tertiles (1st: ≤ US$ 333.34; 2nd: US$ 333.35 to US$ 764.71; 3rd: ≥ US$764.72). Age was also considered an effect modifier variable.
All eligible adults were visited at least four times, with at least one visit on weekends and one in the evening. If an individual was not located or refused to participate, it was considered a loss. We adopted a scheme of sampling with no replacement.
Data quality control consisted of applying a short version of the questionnaire (10 questions) through a telephone interview to 15% of the whole sample (n = 248). Among the variables investigated the intraclass correlation coefficient was 0.99 for age and the kappa value was 0.9 for self-reported diabetes.
Data stored in the PDAs were entered into Stata 9.0 software. Data analysis included the sample description and bivariate cross-tabulation of two binary outcomes (BMI and WC) against the main explanatory variable (number of natural teeth) and other covariates. For comparisons among groups, we used Pearson χ2 tests and linear trends when appropriate. P-values of less than 0.05 were statistically significant. We used multivariable Poisson regression models to estimate prevalence ratios and 95% confidence intervals. In addition, we performed simple and multiple linear regressions using BMI and WC as continuous variables. The interaction between tooth loss and age was assessed using the heterogeneity test. All explanatory variables with a p-value of 0.20 or less were included in the multivariable models. All analyses were performed considering the cluster sample design and sampling weight using the Stata svy command.
The research project was approved by the Research Ethics Committee of Universidade Federal de Santa Catarina (protocol #351/08, December 15th, 2008). All respondents signed a consent before participating and for anthropometric and blood pressure measurements and examinations. Adults with high blood pressure levels or pain were referred to the nearest local health center.
Of a total of 2,016 eligible adults, 85.3% were studied (n = 1,720). Female to male ratio was 1.26. Approximately one-third were between 20 and 29 years of age. Most reported having white skin color, and the great majority (82%) had 10 or more teeth in both arches. General obesity was found in 15.8% of the sample, and the prevalence of central obesity was quite similar (15.1%) (Table 1).
The mean BMI was 25.9 kg/m2 and 25.3 kg/m2 among men and women, respectively. The mean WC was 88.1 cm in women and 79 cm in men (data not shown).
Figure 1 shows that the difference in mean BMIs among men with different numbers of teeth was not statistically significant (p = 0.193). Women with less 10 teeth in at least one arch and edentulous women had higher mean BMI than those with 10 or more teeth on both arches (p < 0.001). The mean BMI was lower in women than men with 10 or more teeth on both arches (p < 0.001). Also, compared to men, women with 10 or more teeth in both arches (p < 0.001) and less than 10 teeth in at least one arch (p < 0.001) had a lower mean WC. Among men mean BMI was higher in those with less than 10 teeth in at least one arch than those with 10 or more teeth on both arches (p = 0.007). In addition, women with less than 10 teeth in both arches and edentulous women had higher mean WC than those with 10 or more teeth on both arches (p < 0.001) (Figure 1).
Table 2 shows the multivariable linear regression analysis between BMI and number of teeth, as well as WC and number of teeth. A positive association was found between the presence of less than 10 teeth in at least one arch and increased mean BMI after adjusting for gender, monthly per capita income, self-reported diabetes and education level (model 5). However, this association lost its statistical significance when the variable age was included in the model (model 6). In the multivariable linear regression analysis, the lower the number of teeth the higher the WC after adjusting for gender, monthly per capita income, self-reported diabetes and education level (model 5). However, when the model was adjusted for age, the association between the number of teeth and WC lost its statistical significance.
The multivariable Poisson regression analysis between number of teeth and prevalence of general obesity showed that the prevalence of general obesity was 50% higher in those with less than 10 teeth in at least one arch when compared with those with 10 or more teeth in both arches after adjusting for monthly per capita income, self-reported diabetes and education level (model 5). However, it lost its statistical significance after controlling for age (model 6) (Table 3). Very similar results were observed when the prevalence of central obesity was analyzed in the multivariable Poisson regression model. The prevalence of central obesity was 50% higher in individuals with less than 10 teeth in at least one arch when compared with those with 10 or more teeth in both arches after adjusting for gender, monthly per capita income, self-reported diabetes and education level (model 5), but lost its statistical significance after including age in the model (model 6) (Table 3). The interaction between tooth loss and age was identified in adults with general and central obesity (p < 0.001) (Figure 2).
To our knowledge, this is the first population-based study carried out outside high-income countries that tested the association between tooth loss and general and central obesity among adults. We found that general and central obesity was associated with number of teeth after adjusting for monthly per capita income, self-reported diabetes and education level in both Poisson regression and linear regression analysis. However, when we added age in the model, the association between tooth loss and general and central obesity lost its statistical significance.
We carried out an analysis stratified by age despite the risk of losing the statistical power of the sample and found increased tooth loss with increasing age. The associations were similar to those in the entire sample, so we decided to show the analysis for the entire sample.
A similar study carried out in Sweden reported that in adults aged 30 to 59 years there was an association between tooth loss and both general and central obesity regardless of socioeconomic condition, lifestyle and comorbidities.12 In this study the number of teeth was also self-reported. Our study found a higher proportion of adults with less than 10 teeth in at least one arch (25.7%) compared to the Swedish study (10.6%) associated with central obesity. In addition, 24.8% of adults with general obesity had less than 10 teeth in at least one arch, which is higher than the 11% found in the Swedish study.12
Despite similar data collection on weight, height and number of teeth, the differences between the findings of these studies may be due to specific characteristics of the populations evaluated. For example, our sample comprised urban adults while rural adults were studied in the Swedish study. In addition, differences in cultural and socioeconomic characteristics and dietary patterns between these two populations should be taken into account.
Previous studies found an association between obesity and tooth loss in older people. Our purpose was to test whether this association occurs earlier in life so that prevention actions could be taken to prevent this health problem later.8,14
Obesity is a multifactorial, chronic, non-transmissible disease, and its etiology involves genetic and behavioral factors including inadequate food intake.9 Dietary data were collected but were not included in this study because the food questionnaire was formulated only to compare with a national study that used the same questionnaire through telephone interviews. Therefore the issues of the food questionnaire did not represent the dietary pattern of the population and were inappropriate for this study. The effect of food intake on nutritional status and oral health is cumulative and requires a longer follow-up to capture trends and habits over time. It is well-known16 that tooth loss leads to consumption of foods that are easy to chew and usually high in calorie density.
Our results suggest the external validity of the study. The prevalence of general and central obesity in this study was almost 16%, identical to that found in the Brazilian Household Survey 2008-2009 in Southern Brazil.ª General obesity rates were similar in both men and women and higher in less educated, poorer, and older adults and those who self-reported diabetes. Similar central obesity results were found by age, education level, monthly per capita family income, and self-reported diabetes, but higher rates were seen in women than in men.
A comparison of our results with other studies is difficult since studies evaluating the association between obesity and tooth loss among young adults are scarce.
This study has some limitations. We relied on self-reported number of natural teeth. However, several validation studies showed there was no significant difference between self-reported number of teeth and actual number of teeth determined by clinical examination regardless of age and gender.3-5,13
Age was identified as a confounder of the relationship between number of teeth and obesity and was also an effect-modifying variable. We found an interaction between age and tooth loss in obesity. The prevalence of obesity varies across different age groups depending on the number of teeth. Individuals with less than 10 teeth in at least one arch and edentulous adults showed higher obesity rates by age, which suggests that age modified the effect of tooth loss on obesity. This result is not straightforwardly understood and the main explanation for this fact lies on dietary changes with aging and tooth loss. Food intake pattern changes according to the presence and number of natural teeth.
The prevalence of obesity is increasing in Brazil. Its known association with tooth loss in older adults calls for further studies that also examine food intake in young adults. Thus it is possible to provide insight for the promotion of oral health and healthy eating habits and earlier prevention of tooth loss and obesity.
A second wave of this study is to be carried out including a detailed dental examination, anthropometric measurements and dietary patterns to test the hypothesis formulated here. A longitudinal study can help better understand the complex relationship between tooth loss and obesity.
To Dr. Nilza Nunes de Souza, Departamento de Epidemiologia, Faculdade de Saúde Pública da Universidade de São Paulo, for her help with the sampling procedures.
To the technicians at the Instituto Brasileiro de Geografia e Estatística and Secretaria de Saúde de Florianópolis for their help with logistic aspects of the study.
1. Barbato PR, Nagano HCM, Zanchet FN, Boing AF, Peres MA. Perdas dentárias e fatores sociais, demográficos e de serviços associados em adultos brasileiros: uma análise dos dados do Estudo Epidemiológico Nacional (Projeto SB Brasil 2002-2003). Cad Saude Publica. 2007;23(8):1803-14. DOI:10.1590/S0102-311X2007000800007
2. Barbato PR, Peres MA. Perdas dentárias em adolescentes brasileiros e fatores associados: estudo de base populacional. Rev Saude Publica. 2009;43(1):13-25. DOI:10.1590/S0034-89102009000100003
3. Cyrino RM, Miranda Cota LO, Pereira Lages EJ, Bastos Lages EM, Costa FO. Evaluation of self-reported measures for prediction of periodontitis in a sample of Brazilians. J Periodontol. 2011;82(12):1693-704. DOI:10.1902/jop.2011.110015
4. Dietrich T, Stosch U, Dietrich D, Schamberger D, Bernimoulin JP, Joshipura K. The accuracy of individual self-reported items to determine periodontal disease history. Eur J Oral Sci. 2005;113(2):135-40. DOI:10.1111/j.1600-0722.2004.00196.x
5. Gilbert GH, Chavers LS, Shelton BJ. Comparison of two methods of estimating 48-month tooth loss incidence. J Public Health Dent. 2002;62(3):163-9. DOI:10.1111/j.1752-7325.2002.tb03438.x
6. Gore C, Norton K, Olds T, Whittingham N, Birchall K, Clough M, et al. Accreditation in anthropometry: an Australian model. In: Norton K, Olds T, editors. Anthropometrica. Sydney: University of New South Wales Press; 1996. p.395-411.
7. Hung H-C, Colditz G, Joshipura KJ. The association between tooth loss and the self-reported intake of selected CVD-related nutrients and foods among US women. Community Dent Oral Epidemiol. 2005;33(3):167-73. DOI:10.1111/j.1600-0528.2005.00200.x
8. Johansson I, Tidehag P, Lundberg V, Hallmans G. Dental status, diet and cardiovascular risk factors in middle-aged people in northern Sweden. Community Dent Oral Epidemiol. 1994;22(6):431-6. DOI:10.1111/j.1600-0528.1994.tb00792.x
9. Kant A, Graubard BI. Energy density of diets reported by American adults: association with food group intake, nutrient intake, and body weight. Int J Obes (Lond). 2005;29(8):950-6. DOI:10.1038/sj.ijo.0802980
10. Kwok T, Yu CNF, Hui HW, Kwan M, Chan V. Association between functional dental state and dietary intake of Chinese vegetarian old age home residents. Gerodontology. 2004;21(3):161-6. DOI:10.1111/j.1741-2358.2004.00030.x
11. Lohman TG, Roche AF, Martolell R. Anthropometric standardization reference manual. Illinois: Human Kinetics Books; 1988.
12. Ostberg A, Nyholm M, Gullberg B, Råstam L,, Lindblad U. Tooth loss and obesity in a defined Swedish population. Scand J Public Health. 2009;37(4):427-33. DOI:10.1177/1403494808099964
13. Pitiphat W, Garcia RI, Douglass CW, Joshipura KJ. Validation of self-reported oral health measures. J Public Health Dent. 2002;62(2):122-8. DOI:10.1111/j.1752-7325.2002.tb03432.x
14 Sahyoun NR, Lin C, Krall E. Nutritional status of the older adult is associated with dentition status. J Am Diet Assoc. 2003;103(1):61-6. DOI:10.1053/jada.2003.50003
15. Sheiham A, Steele JG, Marcenes W, Lowe C, Finch S, Bates CJ, et al. The relationship among dental status, nutrient intake, and nutritional status in older people. J Dent Res. 2001;80(2):408-13. DOI:10.1177/00220345010800020201
16. Suzuki K, Nomura T, Sakurai M, Sugihara N, Yamanaka S, Matsukubo T. Relationship between number of present teeth and nutritional intake in institutionalized elderly. Bull Tokyo Dent Coll. 2005;46(4):135-43. DOI:10.2209/tdcpublication.46.135
17. Ulijaszek SJ, Kerr DA. Anthropometrics measurement error and the assessment of nutritional status. Brit J Nut. 1999;82(3):165-77. DOI:10.1017/S0007114599001348
18. World Health Organization. Physical status: the use and interpretation of anthropometry. Geneva; 1995.
19. World Health Organization. Obesity: preventing and managing the global epidemic. Geneva; 2000. (Technical Report Series, 894).
▲ Correspondência | Correspondence:
Carla de Oliveira Bernardo
Campus Universitário Reitor João David Ferreira Lima
Centro de Ciências da Saúde
Departamento de Saúde Pública, sala 131. Trindade
88040-970 Florianópolis, SC, Brasil
The project was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - National Council for Scientific and Technological Development, grant number 485327/2007-4). Bernardo CO was supported by CNPq Master's grant and Peres KG, Vasconcelos FAG and Peres MA were supported by CNPq productivity in research grants. The authors declare no conflicts of interest.
a Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2008-2009. Antropometria e análise do estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: IBGE, 2010.
b Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Projeto SBBrasil 2010: resultados principais. Brasília; 2011.
c Instituto Brasileiro de Geografia e Estatística. Estimativa da população. Rio de Janeiro; 2009.
d Instituto Brasileiro de Geografia e Estatística. Censo Demográfico 2000. Rio de Janeiro; 2003.