Socioeconomic status (SES) is associated with systemic disease and influences oral and general health. Several studies have found inequalities associated with oral health and SES. We examined the relationship between tooth loss and SES in Korean adults using data from the 2012–2013 Korean National Health and Nutrition Examination Survey. Methods: A total of 7,005 participants were included in this study. Subjects were divided into two groups depending on their total number of natural teeth: <20 and ≥20. Next, participants were divided into quartiles depending on household income and educational level. Multivariate logistic regression was used to obtain odds ratios (OR) for remaining teeth according to income and education levels.
As income and education levels increased, subjects were more likely to have ≥20 remaining teeth (p-value and p-value for trend <0.001), brush their teeth more than three times per day, use extra oral products, and have regular oral-health checkups (all p<0.001). The odds of having ≥20 remaining teeth increased with increases in income and education, after adjusting for all covariates (OR = 1.493 for income Q3, OR = 1.571 for income Q4; OR = 1.763 for 10–12 years education, OR = 2.189 for ≥13years education).
Citation: Kim YH, Han K, Vu D, Cho K-H, Lee SH (2018) Number of remaining teeth and its association with socioeconomic status in South Korean adults: Data from the Korean National Health and Nutrition Examination Survey 2012-2013. PLoS ONE 13(5): e0196594. https://doi.org/10.1371/journal.pone.0196594
Editor: Antonio Palazón-Bru, Universidad Miguel Hernandez de Elche, SPAIN
Received: July 11, 2017; Accepted: April 16, 2018; Published: May 10, 2018
Copyright: © 2018 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data cannot be made publicly available by the authors, because they were obtained from the third party KNHANES (the Korea National Health and Nutrition Examination Surveys). The authors used 2012-2013 KNHANES data. All files are available from the KNHANES webpage (URL: https://knhanes.cdc.go.kr/knhanes/eng/index.do). The authors confirm that future interested researchers will be able to obtain and access KNHANES data in the same manner as the authors of this manuscript. We confirm that the authors did not have any special access privileges that other would not have.
Funding: This study was funded by a research grant from the Institute of Clinical Medicine Research at Yeouido St. Mary’s Hospital the Catholic University of Korea (YSI 2015-30). The funder only provided support in research materials [to SHL], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. This does not alter our adherence to PLOS ONE policies on sharing data and materials. The specific roles of these authors are articulated in the ‘author contributions’ section.
Competing interests: DV is employed by a private dental clinic, Wing Dental Center, Alberta, Canada. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.
Tooth loss is a common condition resulting from dental caries, periodontal disease, trauma, or extraction during orthodontic treatment . Previous studies found that tooth loss was associated with systemic conditions, such as metabolic syndrome [2, 3], dementia , obesity , renal disease , cardiovascular disease [7, 8], diabetes mellitus , and certain types of cancer , in addition to other dental problems such as periodontitis.
In general, socioeconomic status (SES) is associated with the aforementioned systemic diseases [11–14]. Subjects with low SES have higher prevalence of obesity, coronary heart disease, and cancer than high SES subjects [11–14]. These people are also more likely to have poor oral and general health behaviors [15–17]. SES is associated with inequalities in oral health and subjects with low SES had higher rates of tooth loss than high SES subjects [18–20]. However, there are some controversies regarding the relationship between SES and tooth loss [21–23] because most of previous studies used data from countries with ethnically heterogeneous population or only adjusted for a few variables, such as age, gender, and area of residence. Specifically, there have been no many studies with nationwide representative data in an ethnically homogeneous population such as Korea.
Korean National Health and Nutrition Examination Survey (KNHANES) is a nationwide cross-sectional survey conducted by the South Korean Ministry of Health and Welfare using a representative sample of the entire Korean population obtained by cluster sampling design. Korea is a country characterized with a relatively homogeneous Asian population in terms of ethnicity that permits exclusion of racial/ethnical biases in the examination of the relationship between SES and number of remaining teeth excluding. In this study we examined the relationship between tooth loss and SES in Korean adults using a representative sample from the 2012–2013 KNHANES.
Materials and methods
Data from the 2012–2013 KNHANES was used in this study. The KNHANES includes national level health and nutrition data collected from surveys and physical examinations . KHANES participants were stratified into multiple stages, prorated by age from the 2005 National Census Registry, and selected using a cluster sampling design to obtain a representative sample of non-institutionalized civilians of both sexes from whole geographic regions of South Korea Face-to-face interviews were carried out by trained interviewers.
This paper used the data from KNHANES a nationwide cross-sectional survey conducted by the South Korean Ministry of Health and Welfare. Survey procedure was used to account for the complex sampling design and to provide approximations of the entire Korean population. Moreover, for the representative sampling area of each region, the stratification and cluster are sampled and extracted to represent the whole Korean population. The participants visited the examination center and trained agents and dentists surveyed the study’s representative population of South Koreans using well-made questionnaires, and performed physical examinations.
A total of 21,811 subjects (12,417 men and 13,487 women) aged 19 years or older were included in the KNHANES. First, we only included subjects who were older than 40 years (n = 8,714). We excluded subjects who had insufficient data (n = 1,709). Ultimately, 7,005 subjects were included in this study. The study protocol was approved by the Institutional Review Board of the Korean Center for Disease Control and Prevention (2012-01EXP-01-2C, and 2013-07CON-03-4C) and adheres to the ethical principles for medical research involving human subjects as defined by the Declaration of Helsinki. Written informed consent was obtained from all participants.
Subjects completed a self-administered questionnaire about age, sex, family income, and education level. Household income was corrected for the number of family members and divided into quartiles. Education level was also divided into quartiles equal or less than 6years (≤6), 7 to 9 years (7–9), 10 to 12 years (10–12), and equal or more than 13 years (≥13) of education. These quartiles represent elementary school, middle school, high school and university respectively. Occupational status was also surveyed.
General health behaviors
General health behaviors were also surveyed. We defined current smokers as those who currently smoked and those who had cumulatively smoked more than 100 cigarettes in their life as National Health Interview Survey (NHIS) concept . Heavy alcohol intake was defined as more than three glasses a day. Physical activity was defined using the International Physical Activity Questionnaire , and regular exercise was defined as taking exercising more than three times per week at an intense level for more than 20 minutes per session or as exercising for more than 30 minutes per session.
Height (cm) and weight (kg) were recorded by trained examiners to the nearest 0.1 cm and 0.1 kg, respectively, with the subjects in light clothing and without shoes. After a normal expiration, waist circumference (WC) was measured to the nearest 0.1 cm on a horizontal plane at the midpoint level between the iliac crest and the costal margin. Body mass index was obtained by dividing the subjects’ weight (kg) by the square of their height (m2).
Definition of metabolic syndrome
According to the American Heart Association/National Heart, Lung, and Blood Institute’s Scientific Statement for Asians  the conditions for metabolic syndrome are met when three or more of the following criteria are present: WC ≥90 cm in men and ≥80 cm in women, fasting blood glucose level ≥100 mg/dL or use of antidiabetic medication, blood pressure ≥130/85 mmHg or use of antihypertensive medication, fasting triglyceride level ≥150 mg/dL or use of antidyslipidemic medication, high density lipoprotein cholesterol level <40 mg/dL in men and <50 mg/dL in women or use of antidyslipidemic medication.
Subjects recorded the time(s) of the day when they brushed their teeth and whether they used extra oral products other than a manual tooth brush and tooth paste. In this survey extra oral products include dental floss, interdental brushes, mouthwash, and electric toothbrushes. The time of day was divided into the following periods: before or after breakfast, lunch, dinner, after snacks, and before bedtime. The frequency of toothbrushing was calculated as the number of toothbrushing events per day. Completion of an oral examination during the last 12 months was surveyed using self-questionnaires.
Number of remaining teeth and periodontitis.
The subjects were surveyed about whether they had lost any of their natural teeth. We also counted the number of remaining teeth. Periodontitis status was diagnosed when the community periodontal index (CPI) was greater than or equal to “code 3,” which means that at least one dental site had a greater than 3.5-mm periodontal pocket, as per the definition set by the World Health Organization. The numbers of index teeth were 11, 16, 17, 26, 27, 31, 36, 37, 46, and 47. The appropriate CPI probe was used by trained dentists in accordance with the World Health Organization guidelines . The inter-examiner mean Kappa value was 0.89 (0.55–1.00) .
To analyze their general characteristics, subjects were divided into two groups depending on their total number of natural teeth: The group 1: the 20 or more teeth group (≥20), and the group 2: the less than 20 teeth group (<20). According to many other studies, having at least 20 natural teeth is required for the satisfactory function and esthetics [30–32].
The data were presented as either means ± standard errors (SE) for continuous variables or as percentages (SE) for categorical variables. We classified four education levels: 6 or less years of education (elementary school (≤6)), 7 to 9 years of education (middle school (7–9)), 10 to 12 years of education (high school (10–12)), and 13 or more years of education (≥13), The economic levels were divided in four (Q1, Q2, Q3, and Q4) We analyzed the remaining number of teeth groups with education and economic quartiles using Chi-square tests and general linear modeling. Oral-health behaviors according to SES quartile were analyzed with Chi-square tests. Using analysis of variance tests, the relationships between mean number of remaining teeth and income and education levels were analyzed in three different adjusted models. Model 1 was adjusted for age and sex. Model 2 was adjusted for age, sex, BMI, current smoking status, alcohol consumption habits, regular exercise, frequency of toothbrushing per day, use of extra oral hygiene products, presence of periodontitis, occupational status, and presence of metabolic syndrome. Model 3 was adjusted for the covariates in model 2 plus education or income levels. Multivariate logistic regression was applied to obtain odds ratios (OR) and 95% confidence intervals (CI) for the ≥20 teeth group according to income and education levels after adjusting for age, sex, BMI, smoking, alcohol intake, physical activity, periodontitis, occupation, frequency of tooth brushing, metabolic syndrome, income and educational levels. Because of our survey procedure and complex sampling design we used SAS version 9.2 (SAS Institute Inc., Cary, NC, USA) to estimate risks and associations for the entire Korean population. All the statistical tests were two-tailed, and a p<0.05 was considered statistically significant.
General characteristics of subjects are shown in Table 1. The group with fewer than 20 remaining teeth (group 2) present significantly higher average age, mean WC, lower rates of alcohol consumption, physical activity and employment (all p<0.05) than the group with 20 or more remaining teeth (group 1). Additionally, the percentage of subjects with metabolic syndrome, periodontitis, lower income (Q1), and lower educational level (≤6 years) were higher in the group 2 than in the group 1 (all p<0.05). The number of toothbrusing time per day, remaining teeth and percentage of subject with receiving regular oral examination and regular exercise were significantly higher in the group 1 than group 2. (all p<0.05).
Fig 1 shows the proportion of the two teeth groups according to the four income and education levels. As income and education levels increased, the proportion of subjects in the ≥20 teeth group increased while the <20 teeth group decreased (all p-values and p for trends <0.001).
Both p<0.001. Both p for trend <0.001.
As income and educational levels increased, the proportion of subjects who brushed their teeth 2 or less times per day decreased, while the proportion of subjects who brushed their teeth more than 2 times per day increased (both p<0.001). The number of subjects who used extra oral hygiene products and received regular oral-health examinations also increased as income and educational levels increased (all p<0.001) (Tables 2 and 3).
Table 4 shows the mean number of remaining teeth according to income and education levels. After adjusting for all covariates, as income and education increased, the number of remaining teeth increased (p<0.001 and 0.003, respectively, and p for trend <0.001).
Fig 2 shows the multivariate adjusted ORs for having ≥20 remaining teeth according to each of the four income and education levels. Regarding the reference categories (income Q1 and education ≤6 years), the ORs for ≥20 remaining teeth increased as income and education levels increased after adjusting for all covariates (OR = 1.49 and OR = 1.57 in incomes Q3 and Q4, respectively, and OR = 1.76 and OR = 2.18 in education levels 10–12yrs and ≥13yrs, respectively). 95% confidence interval.
In this study, the number of remaining teeth was significantly higher among participants in the upper income and education quartiles. Also, the 20 or more teeth group had a significantly higher percentage of people who were currently employed, had a regular exercise habit, had a lower WC, and lower rates of metabolic syndrome and periodontitis than the less than 20 teeth group. Income and education levels were higher in people with good oral-health behaviors, such as toothbrushing more than three times per day and receiving regular dental examinations.
Tooth loss results from various factors, including general health behaviors, medical health status, and SES [17, 22, 33–38]. Low SES was associated with increased tooth loss among elderly Americans , while increasing education level was found to be inversely associated with tooth loss in a US cohort study . In a Brazilian study, low and middle SES were associated with more tooth loss compared with high SES [22, 39]. Some studies found that tooth loss may be a manifestation of socio-economic inequalities at the individual level and across ethnicities [37, 40–42]. In the elderly American population, poverty and minority race/ethnicity were significantly associated with oral-health disparities . Hispanic and black adults were less likely to have routine dental examinations than non-Hispanic white adults, and they were at increased risk for poor oral health . In affluent areas, disparities in tooth retention were negligible, but in poor neighborhoods, substantial variation in tooth retention between individuals was found based on their level of income. Living in a low SES neighborhood or not receiving regular dental care was associated with tooth loss [22, 23]. However, other studies found contrary associations or no association between tooth loss and SES, and that association patterns differed according to ethnicity [21–23, 43]. Poverty and education are not associated with number of missing teeth among Hispanic or black adults, while non–Hispanic white adults with lower SES presented with greater tooth loss . Susin et al. reported that having four or more missing teeth was significantly associated with number of teeth with caries/fillings in a young Brazilian population . Early oral-health education is warranted to save natural teeth as well as to improve general health behaviors.
The mechanism underlying the association between tooth loss and SES is general health behavior. Elderly Australians with a history of smoking had higher odds for tooth loss, but the risk declined as time since smoking cessation increased . Other studies also showed that smoking was associated with tooth loss [39, 44]. Klein et al. have found that smoking and heavy alcohol consumption were associated with tooth loss . In general, these poor health behaviors are common in subjects with low SES , while higher SES subjects exercised general health behaviors that promoted tooth maintenance, such as more frequent toothbrushing [1, 46]. Many previous studies showed an association between oral health and SES [15–17, 21] and, in this study, subjects with high SES had good oral health and received regular oral examinations. Use of fluoridated toothpaste and toothbrushing were associated with more remaining teeth in Lithuania , and in Denmark, toothbrushing more than two times per day was associated with more routine dental visits, more consistent dental care, and higher education level . In a Taiwanese study, it was observed that regular toothbrushing, use of extra oral hygiene products such as dental floss and mouthwash, and receiving dental scaling were associated with having more remaining teeth . It has also been shown that middle-aged Brazilian adults who had not visited a dentist in the last three years had a 33.5% increased risk for tooth loss . Other researchers have shown that poor oral health behaviors were associated with increased prevalence of periodontitis  and metabolic syndrome [2, 16], which are also associated with increased systemic inflammation [51–53] due to cytokine production, such as tumor necrosis factor-α and interleukins-1 and -6 [54, 55], that also increased tooth loss.
There are several limitations in this study. First, this is a cross-sectional study and we cannot identify causal relationships. Second, we did not evaluate inflammatory markers as a mechanism of this relationship. Third, we could not obtain further information about individual causes of tooth loss from the subjects. However, this study has some strength. The subjects of this study are a representative sample of the whole Korean population using the KNHANES. Korea is a relatively ethnically homogenous population therefore, we could exclude racial/ethnical biases in the relationship between SES and number of remaining teeth. Also, we adjusted for several covariates that are known to be associated with number of remaining teeth from many previous studies.
In conclusion, low SES is associated with significant tooth loss. A greater proportion of subjects with higher SES presented with good health behaviors and greater numbers of remaining teeth than did low SES subjects. Oral healthcare professionals should educate their patients regarding the importance of proper oral-health behaviors for preventing tooth loss, especially their low SES patients. Further prospective studies are needed to evaluate the mechanisms and the relationships between SES and tooth loss, and to develop interventions to preserve remaining teeth.
- 1. Tada A, Matsukubo T. Relationship between oral health behaviors and general health behaviors in a Japanese adult population. Journal of public health dentistry. 2003;63(4):250–254. pmid:14682650
- 2. Kim YH, Kim DH, Lim KS, Ko BJ, Han BD, Nam GE, et al. Oral health behaviors and metabolic syndrome: the 2008–2010 Korean National Health and Nutrition Examination Survey. Clinical oral investigations. 2014;18(5):1517–1524. pmid:24061606
- 3. Kobayashi Y, Niu K, Guan L, Momma H, Guo H, Cui Y, et al. Oral health behavior and metabolic syndrome and its components in adults. Journal of dental research. 2012;91(5):479–484. pmid:22378694
- 4. Shen T, Lv J, Wang L, Wang W, Zhang D. Association between tooth loss and dementia among older people: a meta-analysis. International journal of geriatric psychiatry. 2016;31(8):953–955. pmid:26644219
- 5. Nascimento GG, Leite FR, Conceicao DA, Ferrua CP, Singh A, Demarco FF. Is there a relationship between obesity and tooth loss and edentulism? A systematic review and meta-analysis. Obesity reviews: an official journal of the International Association for the Study of Obesity. 2016;17(7):587–598. pmid:27125768
- 6. Garcez J, Limeres Posse J, Carmona IT, Feijoo JF, Diz Dios P. Oral health status of patients with a mild decrease in glomerular filtration rate. Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics. 2009;107(2):224–228. pmid:19138640
- 7. Liljestrand JM, Havulinna AS, Paju S, Mannisto S, Salomaa V, Pussinen PJ. Missing Teeth Predict Incident Cardiovascular Events, Diabetes, and Death. Journal of dental research. 2015;94(8):1055–1062. pmid:25991651
- 8. Vedin O, Hagstrom E, Budaj A, Denchev S, Harrington RA, Koenig W, et al. Tooth loss is independently associated with poor outcomes in stable coronary heart disease. European journal of preventive cardiology. 2016;23(8):839–846. pmid:26672609
- 9. Greenblatt AP, Salazar CR, Northridge ME, Kaplan RC, Taylor GW, Finlayson TL, et al. Association of diabetes with tooth loss in Hispanic/Latino adults: findings from the Hispanic Community Health Study/Study of Latinos. BMJ open diabetes research & care. 2016;4(1):e000211. pmid:27239319
- 10. Liu Z, Chang ET, Liu Q, Cai Y, Zhang Z, Chen G, et al. Oral Hygiene and Risk of Nasopharyngeal Carcinoma-A Population-Based Case-Control Study in China. Cancer epidemiology, biomarkers & prevention: a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 2016;25(8):1201–1207. pmid:27197279
- 11. Schroder SL, Richter M, Schroder J, Frantz S, Fink A. Socioeconomic inequalities in access to treatment for coronary heart disease: A systematic review. International journal of cardiology. 2016;219:70–78. pmid:27288969
- 12. Rawshani A, Svensson AM, Zethelius B, Eliasson B, Rosengren A, Gudbjornsdottir S. Association Between Socioeconomic Status and Mortality, Cardiovascular Disease, and Cancer in Patients With Type 2 Diabetes. JAMA internal medicine. 2016;176(8):1146–1154. pmid:27367969
- 13. Lindberg L, Ek A, Nyman J, Marcus C, Ulijaszek S, Nowicka P. Low grandparental social support combined with low parental socioeconomic status is closely associated with obesity in preschool-aged children: a pilot study. Pediatric obesity. 2016;11(4):313–316. pmid:26097148
- 14. Appleton AA, Holdsworth EA, Kubzansky LD. A Systematic Review of the Interplay Between Social Determinants and Environmental Exposures for Early-Life Outcomes. Current environmental health reports. 2016;3(3):287–301. pmid:27344145
- 15. Bernabe E, Kivimaki M, Tsakos G, Suominen-Taipale AL, Nordblad A, Savolainen J, et al. The relationship among sense of coherence, socio-economic status, and oral health-related behaviours among Finnish dentate adults. European journal of oral sciences. 2009;117(4):413–418. pmid:19627353
- 16. Mbawalla HS, Masalu JR, Astrom AN. Socio-demographic and behavioural correlates of oral hygiene status and oral health related quality of life, the Limpopo-Arusha school health project (LASH): a cross-sectional study. BMC pediatrics. 2010;10:87. pmid:21118499
- 17. Huang DL, Park M. Socioeconomic and racial/ethnic oral health disparities among US older adults: oral health quality of life and dentition. Journal of public health dentistry. 2015;75(2):85–92. pmid:25234710
- 18. Jung SH, Ryu JI, Jung DB. Association of total tooth loss with socio-behavioural health indicators in Korean elderly. Journal of oral rehabilitation. 2011;38(7):517–524. pmid:21118289
- 19. Laguzzi PN, Schuch HS, Medina LD, de Amores AR, Demarco FF, Lorenzo S. Tooth loss and associated factors in elders: results from a national survey in Uruguay. Journal of public health dentistry. 2016;76(2):143–151. pmid:26465229
- 20. Astrom AN, Ekback G, Lie SA, Ordell S. Life-course social influences on tooth loss and oral attitudes among older people: evidence from a prospective cohort study. European journal of oral sciences. 2015;123(1):30–38. pmid:25483593
- 21. Celeste RK, Nadanovsky P, Ponce de Leon A, Fritzell J. The individual and contextual pathways between oral health and income inequality in Brazilian adolescents and adults. Social science & medicine (1982). 2009;69(10):1468–1475. pmid:19765876
- 22. Moreira Rda S, Nico LS, Barrozo LV, Pereira JC. Tooth loss in Brazilian middle-aged adults: multilevel effects. Acta odontologica Scandinavica. 2010;68(5):269–277. pmid:20524789
- 23. Sanders AE, Turrell G, Slade GD. Affluent neighborhoods reduce excess risk of tooth loss among the poor. Journal of dental research. 2008;87(10):969–973. pmid:18809753
- 24. Park HA. The Korea national health and nutrition examination survey as a primary data source. Korean journal of family medicine. 2013;34(2):79. pmid:23560205
- 25. Ryan H, Trosclair A, Gfroerer J. Adult current smoking: differences in definitions and prevalence estimates—NHIS and NSDUH, 2008. Journal of environmental and public health. 2012;2012:918368. pmid:22649464
- 26. Hagstromer M, Oja P, Sjostrom M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public health nutrition. 2006;9(6):755–762. pmid:16925881
- 27. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735–2752. pmid:16157765
- 28. World Health Organization. Oral Health Surveys: Basic Methods. 4th ed. Geneva: World Health Organization; 1997.
- 29. The Korea Center for Disease Control and Prevention. Standardization for National Health Survey: Prevention TKCfDCa. Seoul: The Korea Center for Disease Control and Prevention; 2008.
- 30. Hobdell M, Petersen PE, Clarkson J, Johnson N. Global goals for oral health 2020. International dental journal. 2003;53(5):285–288. pmid:14560802
- 31. Recent advances in oral health. Report of a WHO Expert Committee. World Health Organization technical report series. 1992;826:1–37.
- 32. Elias AC, Sheiham A. The relationship between satisfaction with mouth and number and position of teeth. Journal of oral rehabilitation. 1998;25(9):649–661. pmid:9758393
- 33. Arora M, Schwarz E, Sivaneswaran S, Banks E. Cigarette smoking and tooth loss in a cohort of older Australians: the 45 and up study. Journal of the American Dental Association (1939). 2010;141(10):1242–1249. pmid:20884927
- 34. Chatrchaiwiwatana S. Factors affecting tooth loss among rural Khon Kaen adults: analysis of two data sets. Public health. 2007;121(2):106–112. pmid:17005217
- 35. Copeland LB, Krall EA, Brown LJ, Garcia RI, Streckfus CF. Predictors of tooth loss in two US adult populations. Journal of public health dentistry. 2004;64(1):31–37. pmid:15078059
- 36. Haugejorden O, Klock KS, Trovik TA. Incidence and predictors of self-reported tooth loss in a representative sample of Norwegian adults. Community dentistry and oral epidemiology. 2003;31(4):261–268. pmid:12846848
- 37. Haugejorden O, Klock KS, Astrom AN, Skaret E, Trovik TA. Socio-economic inequality in the self-reported number of natural teeth among Norwegian adults—an analytical study. Community dentistry and oral epidemiology. 2008;36(3):269–278. pmid:18474059
- 38. Klein BE, Klein R, Knudtson MD. Life-style correlates of tooth loss in an adult Midwestern population. Journal of public health dentistry. 2004;64(3):145–150. pmid:15341137
- 39. Susin C, Oppermann RV, Haugejorden O, Albandar JM. Tooth loss and associated risk indicators in an adult urban population from south Brazil. Acta odontologica Scandinavica. 2005;63(2):85–93. pmid:16134547
- 40. Gilbert GH, Duncan RP, Shelton BJ. Social determinants of tooth loss. Health services research. 2003;38(6 Pt 2):1843–1862. pmid:14727800
- 41. Esan TA, Olusile AO, Akeredolu PA, Esan AO. Socio-demographic factors and edentulism: the Nigerian experience. BMC oral health. 2004;4(1):3. pmid:15555072
- 42. Mundt T, Polzer I, Samietz S, Grabe HJ, Doren M, Schwarz S, et al. Gender-dependent associations between socioeconomic status and tooth loss in working age people in the Study of Health in Pomerania (SHIP), Germany. Community dentistry and oral epidemiology. 2011;39(5):398–408. pmid:21241349
- 43. Jimenez M, Dietrich T, Shih MC, Li Y, Joshipura KJ. Racial/ethnic variations in associations between socioeconomic factors and tooth loss. Community dentistry and oral epidemiology. 2009;37(3):267–275. pmid:19302573
- 44. Susin C, Haas AN, Opermann RV, Albandar JM. Tooth loss in a young population from south Brazil. Journal of public health dentistry. 2006;66(2):110–115. pmid:16711630
- 45. Pampel FC, Krueger PM, Denney JT. Socioeconomic Disparities in Health Behaviors. Annual review of sociology. 2010;36:349–370. pmid:21909182
- 46. Payne BJ, Locker D. Relationship between dental and general health behaviors in a Canadian population. Journal of public health dentistry. 1996;56(4):198–204. pmid:8906703
- 47. Vysniauskaite S, Kammona N, Vehkalahti MM. Number of teeth in relation to oral health behaviour in dentate elderly patients in Lithuania. Gerodontology. 2005;22(1):44–51. pmid:15747898
- 48. Christensen LB, Petersen PE, Krustrup U, Kjoller M. Self-reported oral hygiene practices among adults in Denmark. Community dental health. 2003;20(4):229–235. pmid:14696742
- 49. Wang TF, Chen YY, Liou YM, Chou C. Investigating tooth loss and associated factors among older Taiwanese adults. Archives of gerontology and geriatrics. 2014;58(3):446–453. pmid:24568967
- 50. Bakdash B. Oral hygiene and compliance as risk factors in periodontitis. Journal of periodontology. 1994;65(5 Suppl):539–544. pmid:8046570
- 51. Khosravi R, Ka K, Huang T, Khalili S, Nguyen BH, Nicolau B, et al. Tumor necrosis factor- alpha and interleukin-6: potential interorgan inflammatory mediators contributing to destructive periodontal disease in obesity or metabolic syndrome. Mediators of inflammation. 2013;2013:728987. pmid:24068858
- 52. de Oliveira C, Watt R, Hamer M. Toothbrushing, inflammation, and risk of cardiovascular disease: results from Scottish Health Survey. BMJ (Clinical research ed). 2010;340:c2451. pmid:20508025
- 53. Montebugnoli L, Servidio D, Miaton RA, Prati C, Tricoci P, Melloni C. Poor oral health is associated with coronary heart disease and elevated systemic inflammatory and haemostatic factors. Journal of clinical periodontology. 2004;31(1):25–29. pmid:15058371
- 54. Labouesse MA, Gertz ER, Piccolo BD, Souza EC, Schuster GU, Witbracht MG, et al. Associations among endocrine, inflammatory, and bone markers, body composition and weight loss induced bone loss. Bone. 2014;64:138–146. pmid:24709689
- 55. Lerner UH. Inflammation-induced bone remodeling in periodontal disease and the influence of post-menopausal osteoporosis. Journal of dental research. 2006;85(7):596–607. pmid:16798858