Abstract
Background
Some systematic reviews have consistently indicated a positive link between Metabolic syndrome, impairedfasting glucose, all-cause or circulatory disease-related mortality, general health, periodontitis, and toothloss. This study was to examine the prevalence of number of remaining teeth <20 and associated risk factors among adults in a rural area of Taiwan.
Methods
A community-based, cross-sectional study was conducted in southwestern coastal Taiwan in 2013; 6680 residents aged 20–64 years were studied. Oral hygiene, substance use, dietary habits, and metabolic syndrome were explored as potential risk factors for number of remaining teeth <20 using logistic regression analysis.
Results
The mean number of remaining teeth was 24.6 (SD = 7.4), and 16.3 % (n = 1085) of the participants had number of remaining teeth <20. Men had significantly less frequent use of dental floss, unhealthy dietary habits, more substance use and metabolic syndrome than did women (p <0.001). However, women tended to have fewer teeth than men (p <0.001). After adjusting for potential confounders, older age (odds ratio [OR] = 4.56, 95 % confidence interval [CI]: 3.74–5.55), female (OR = 1.88, 95 % CI: 1.56–2.25), less education (OR = 2.40, 95 % CI: 1.90–3.02), infrequent use of dental floss (OR = 1.94, 95 % CI: 1.66–2.27), substance use (OR = 1.32, 95 % CI: 1.09–1.59), and number of metabolic syndrome components (OR = 1.10, 95 % CI: 1.04–1.16) were independently associated with a higher risk of number of remaining teeth <20.
Conclusions
Number of remaining teeth <20 was highly prevalent among rural adults. In addition to unmodifiable factors, infrequent use of dental floss, substance use, and metabolic syndrome were risk factors associated with tooth loss.
Background
Oral health is essential to overall health and quality of life, and it plays an important role in an individual’s capacity for biting, chewing, smiling, speaking, and psychosocial wellbeing [1]. A campaign, called “8020” aims for the elderly to retain at least 20 teeth at 80 years of age; this campaign was launched in Japan in 1991 [2]. Theoretically, most individuals should expect to maintain functional dentition throughout our lives. Some studies have indicated that physical indices and oral health conditions in all who achieved the 8020 goals were better than the non-achievers [2, 3]. Evidence supports the relationship between tooth loss and health outcomes, including malnutrition and mortality [4].
For many high-income countries, 5–10 % of public health expenditure relates to oral health [1]. Many studies have indicated that tooth loss is associated with metabolic syndrome (MetS) [5], increased risk of stroke, ischemic heart disease, cognitive impairment, and all-cause and cardiovascular mortality [6–10]. The literature also shows that risk factors associated with tooth loss in adults include age, female sex, lower educational level [11–13], poor oral hygiene [12, 14], high blood pressure, high fasting blood glucose (FBG), obesity [5, 15, 16], betel nut chewing, cigarette smoking [17, 18], diabetes mellitus [19–21], and unhealthy diet [1].
Some systematic reviews [22–24] have consistently indicated a positive link between MetS, impaired fasting glucose, all-cause or circulatory disease-related mortality, general health, periodontitis, and tooth loss. The mechanism might be due to chronic infections, which have been associated with increased levels of inflammatory cytokines and cardiovascular disease. For instance, in a prospective cohort study, individuals with Helicobacter pylori infection were 2.7 times more likely to develop diabetes than were seronegative individuals. Even after controlling for insulin resistance, C-reactive protein and interleukin-6 levels did not attenuate the effect of H. pylori infection [25].
According to some evidences, the main causes of tooth loss are periodontal disease and dental caries and are mostly preventable [22–27]. For instance, using fluoride, brushing the teeth often (at least twice a day), flossing the teeth daily, undergoing regular dental check-ups every 6 months, choosing a healthy diet, and keeping blood glucose under control are all emphasized [22, 23]. If all individuals followed these rules, it would not be difficult to reach the 8020 aims. However, many people do not practice these habits daily, especially in disadvantaged areas [1–3]. In addition, few studies had been initiated in Taiwan. Therefore, the aim of the present study was to provide the prevalence of remaining less than 20 teeth and to examine the associated risk factors for tooth loss among adults in a southwestern coastal rural area of Taiwan.
Methods
Design, sample, and setting
This is part of a longitudinal study on health promotion for community health development led by community nursing faculty members and was performed in cooperation with a local hospital in Yunlin County, Taiwan. The community-based survey and descriptive cross-sectional design were implemented from September 2012 to August 2013. Participants were selected by convenience sampling at 27 villages in the southwestern coastal areas. Considering the modifiable factors related to the prevention of tooth loss, this study selected those aged <65 years for data analyses. The inclusion criteria were (1) age between 20 and 64 years, (2) complete independence in managing daily lives, (3) ability to complete the questionnaires in Mandarin or Taiwanese dialects either by self-administration or at an interview, (4) ability to walk to the local corporate hospital, and (5) provision of a signed informed consent before enrollment in the study. Exclusion criteria were (1) serious mental problems, including those that needed a disability certificate or a diagnosis of dementia by a physician or community welfare organization, (2) diagnosis of either type 1 or type 2 diabetes, or (3) inability to walk to the local hospital for physical examination. Due to the nature of community-based census, there was no formal sample size determination in this study.
Instruments
Demographic characteristics included age, sex, and educational attainment (years of education received or school level graduated).
Oral hygiene: According to one of our previous studies regarding factors related with the number of remaining teeth (NRT) among diabetes in a neighboring county, 74 % of 703 participants had fewer than 20 NRT [14]. Ironically, 88.3 % reported they brushed their teeth more than twice a day, and 70 % did not frequently use dental floss as a regular habit. This phenomenon might be due to a misunderstanding regarding what it means to “brush teeth”. Therefore, in the present study, oral hygiene was assessed using the question “In your daily life, how often do you use dental floss after tooth-brushing each day.” Answers were categorized as frequent (≥ once a day) or infrequent (never/sometimes).
NRT was obtained by counting the natural and filled teeth in the oral cavity by the trained research assistant.
Substance use: According to official reports from the national health survey, a high prevalence rate of alcohol drinking, betel nut chewing, and cigarette smoking were found in the western coastal area of Taiwan and associated with some significant cancers [3]. These three habits were defined as substance use in the present study and were measured according to the responses to the following three questions. (A) “Do you regularly drink alcohol?” Participants were classified as “less consumption” if they had never drank alcohol or had not drank alcohol for 1 year, or “regular consumption’ if they were currently drinking. (B) “Do you chew betel nuts?” Participants were classified as “less consumption” if they had never chewed betel nuts or no longer chewed or “regular consumption” if they were currently chewing one quid or more per day. (C) “Do you smoke cigarettes?” Participants were classified as “less consumption” if they rarely or never smoked or “regular consumption” if they currently smoked one or more cigarettes per day. In addition, any one of the above habits was classified as consumption and was recorded as substance use.
Healthy dietary habits were based on reports from the World Health Organization [28] and the published literature [29, 30]. Healthy diets for adults should contain at least 400 g (five portions) of fruits and vegetables a day, nuts and whole grains, five groups of food, and enough water instead of soft drink. In this study, healthy dietary habits were determined according to the answers to the following questions. (A) Vegetable consumption habits: “Do you eat three portions of vegetables every day?” The answer was classified as “deficient” if they answered never or sometimes, and as “not deficient” if they usually had at least three portions or one and half bowl-sized portions of vegetables 5 days per week. (B) “How often do you have five groups of nutrition each day, e.g. meat, milk, rice, vegetable, fruit, and mineral food?” (C) “How often do you have 1500 mL or at least eight bowl-sized cups of water each day? The answer of B and C were classified as “deficient” if they answered never or sometimes, and as ‘not deficient’ if their answer was usually or always. Inadequate consumption of any one of the above was classified as a deficiency and was recorded as an unhealthy dietary habit.
Metabolic syndrome was based on the national standard of the Ministry of Health and Welfare [29] and defined as abnormal values for three of the following five components: (a) FBG ≥ 100 mg/dL, (b) systolic and diastolic blood pressure ≥ 130/85 mm Hg); (c) HDL-C <40 mg/dL for men or <50 mg/dL for women, (d) TG ≥ 150 mg/dL; and (e) central obesity, as measured using waist circumference, ≥90 cm for men or ≥80 cm for women).
Procedure and ethical considerations
This study was conducted with a corporate hospital through the community health screening program and approved by the institutional review board ethical committee (Chang-Gung Memorial Hospital Ethics Committee No 102-4399B). Interviewing procedures and privacy protection were explained to the participants by research assistants who were trained for 4 h by the research team, which included the investigators and dentist. To avoid measurement error, eight research assistants were separated into four pairs before the start of the project and were asked to interview an elder in the community activity center, which allowed us to confirm a 90 % correct response rate of inter-rater reliability among these four pairs. Face and content validity of the instrument were judged to be good (0.90–0.92) by a panel of five experts—a faculty member in public health and health education, endocrine and metabolic physicians, and nursing faculty members who teach health promotion. Some items within the instruments were revised according to the experts’ suggestions. Research assistants were all senior nursing students, in an RN-BSN (registered nurse-bachelor of science in nursing) program, had received two consecutive training sessions, each with 2 h duration. In session 1, we focused on understanding research contents and practicing interview skills. In session 2, eight research assistants were grouped into four pairs to become familiar with all items of the questionnaire and the procedures of how to count the number of teeth.
All health examinations were conducted, and venous blood samples were obtained after the participants had fasted for at least 8 h. Serum high-density lipoprotein cholesterol (HDL-C), fasting blood glucose (FBG), and triglyceride (TG) levels were measured enzymatically at the central laboratory of the cooperating hospital. Research assistants measured the height, weight, waist circumference, real teeth, and blood pressure according to standard procedures. Written informed consent was obtained from all participants.
Statistical analysis
Data are presented as either number (percentage) for categorical variables or mean ± standard deviation (SD) for continuous variables. Group comparisons (i.e. by sex or NRT <20) were made using the chi-square test for categorical variables or the independent sample t-test for continuous variables. To investigate factors associated with NRT <20, a multivariate logistic regression analysis was conducted. The multivariate analysis was further stratified by sex to examine factors independently associated with NRT <20. All variables were incorporated into the multivariate analyses and considered as confounders. To avoid collinearity among similar parameters (i.e. the three variables for unhealthy dietary habits, the three variables for substance use, and the five components of MetS), we used the general variables (i.e., unhealthy dietary habit, substance use, and component number of MetS) in the multivariate analyses instead [31, 32]. The prevalence of NRT <20 in this study was 16.2 % (1085/6680); this value was low enough to avoid bias and thus warrant the use of logistic regression. A value of p <0.05 was considered statistically significant. All data analyses were conducted using SPSS software version 17 (SPSS Inc., Chicago, Illinois).
Results
Demographic characteristics
Of the 6823 community adults who participated in this study, 6680 met the criteria and signed the consent form. There were 2901 (43.4 %) male and 3779 (56.6 %) female participants with a mean age of 42.5 years (SD = 12.5; Table 1). The mean NRT was 24.6 (SD = 7.4), and 1085 (16.3 %) had an NRT <20, including 8.7 % with an NRT of 11–19 and 7.6 % with ≤10. More than half (65.6 %) of the subjects were educated for <12 years, and 57.9 % reported infrequent (never or seldom) use of dental floss. More than 70 % (73.4 %) reported having at least one unhealthy dietary habit or deficient consumption, whereas 27.5 % consumed at least one of the three substances. The most frequent MetS component was high blood pressure (44.2 %), followed by central obesity (36.6 %), high FBG level (28.6 %), low HDL-C level (21.8 %), and high TG level (19.9 %). The mean number of MetS components was 1.5 (SD = 1.3), and the prevalence rate of MetS was 24.0 % (Table 1).
Table 1.
Demographic characteristics and health-related behaviors stratified by gender (N = 6680)
| Variables | Whole N = 6680 | Male N = 2901 | Female N = 3779 | P |
|---|---|---|---|---|
| NRT (mean ± SD)a | 24.6 ± 7.4 | 25.4 ± 6.9 | 24.1 ± 7.8 | <0.001 |
| Group of NRT | ||||
| ~ 10 | 506 (7.6) | 180 (6.2) | 326 (8.6) | <0.001 |
| 11 ~ 19 | 579 (8.7) | 207 (7.1) | 372 (9.8) | |
| 20 ~ 29 | 3889 (58.2) | 1690 (58.3) | 2199 (58.2) | |
| 30~ | 1706 (25.5) | 824 (28.4) | 882 (23.3) | |
| Age, year (mean ± SD) | 42.5 ± 12.5 | 42.4 ± 12.4 | 42.6 ± 12.6 | 0.392 |
| 20–40 | 3236 (48.4) | 1398 (48.2) | 1838 (48.6) | 0.717 |
| 41–64 | 3444 (51.6) | 1503 (51.8) | 1941 (51.4) | |
| Education level | 0.101 | |||
| ≦ Junior high school | 4381 (65.6) | 1871 (64.5) | 2510 (66.4) | |
| ≧ Senior high school | 2299 (34.4) | 1030 (35.5) | 1269 (33.6) | |
| Using dental floss | <0.001 | |||
| Infrequent (never/seldom) | 3870 (57.9) | 1768 (60.9) | 2102 (55.6) | |
| Frequent (often/always) | 2810 (42.1) | 1133 (39.1) | 1677 (44.4) | |
| Unhealthy dietary habit | 4901 (73.4) | 2213 (76.3) | 2688 (71.1) | <0.001 |
| Deficient of 5 groups | 1457 (21.8) | 684 (23.6) | 773 (20.5) | 0.002 |
| Deficient of vegetable | 2363 (35.4) | 1212 (41.8) | 1151 (30.5) | <0.001 |
| Deficient of water | 2443 (36.6) | 876 (30.2) | 1567 (41.5) | <0.001 |
| Substance use | 1836 (27.5) | 1533 (52.8) | 303 (8.0) | <0.001 |
| Alcohol drinking | 904 (13.5) | 781 (26.9) | 123 (3.3) | <0.001 |
| Betel nut chewing | 648 (9.7) | 617 (21.3) | 31 (0.8) | <0.001 |
| Cigarette smoking | 1443 (21.6) | 1236 (42.6) | 207 (5.5) | <0.001 |
| Metabolic syndrome (MetS)b | 1603 (24.0) | 855 (29.5) | 748 (19.8) | <0.001 |
| SBP/DBP≧ 130/85 mmHgc | 2953 (44.2) | 1608 (55.4) | 1345 (35.6) | <0.001 |
| WC≧90/80 cm (male/female)d | 2448 (36.6) | 1071 (36.9) | 1377 (36.4) | 0.686 |
| FBG (≧100 mg/dl)e | 1911 (28.6) | 1000 (34.5) | 911 (24.1) | <0.001 |
| HDL-C< 40/ 50 mg/dlf | 1457 (21.8) | 573 (19.8) | 884 (23.4) | <0.001 |
| Triglyceride(≧150 mg/dl) | 1326 (19.9) | 864 (29.8) | 462 (12.2) | <0.001 |
| Number of MetS component | 1.5 ± 1.3 | 1.8 ± 1.3 | 1.3 ± 1.3 | <0.001 |
aNRT: number of remaining teeth
bMetS: ≧3 of 5 components
cSBP/DBP: systolic/diastolic blood pressure
dWC: waist circumference
eFBG: fasting blood glucose
fHDL-C: high-density lipoprotein cholesterol, male <40 mg/dl, female <50 mg/dl
Women had fewer mean NRT (24.1 ± 7.8) and a higher percentage of NRT <20 than men (p <0.001). Men had less frequent use of dental floss, a higher proportion of deficiency in all dietary habits (except for water consumption), and more substance use compared to women (p <0.001). Men also had higher MetS prevalence (29.5 % vs. 19.8 %), blood pressure, FBG level, and TG level and lower prevalence of HDL-C (p <0.001). No sex difference was found in the prevalence of central obesity (Table 1).
Subjects with NRT <20 tended to be older, women, and less educated, with less frequent dental floss use, betel nut chewing, and substance use (p <0.05) compared to those with NRT ≥ 20. The prevalence of each MetS component, including high systolic blood pressure/diastolic blood pressure, high waist circumference, high FBG level, low HDL-C level, and high TG level, as well as MetS (p <0.05) was significantly higher in subjects with NRT <20 than in those with NRT ≥ 20 (Table 2).
Table 2.
Factors associated with number of remaining teeth <20
| Whole | Male | Female | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Variable | NRT≧20 (n = 5595) | NRT <20 (n = 1085) | P | NRT≧20 (n = 2514) | NRT <20 (n = 387) | P | NRT≧20 (n = 3081) | NRT <20 (n = 698) | P |
| Age >40 years | 2517 (45.0) | 927 (85.4) | <0.001 | 1177 (46.8) | 326 (84.2) | <0.001 | 1340 (43.5) | 601 (86.1) | <0.001 |
| Female gender | 3081 (55.1) | 698 (64.3) | <0.001 | – | – | – | – | – | – |
| Education < high school | 3401 (60.8) | 980 (90.3) | <0.001 | 1532 (60.9) | 339 (87.6) | <0.001 | 1033 (33.5) | 536 (76.8) | <0.001 |
| Infrequent dental floss | 3061 (54.7) | 809 (74.6) | <0.001 | 1460 (58.1) | 308 (79.6) | <0.001 | 1601 (52.0) | 501 (71.8) | <0.001 |
| Unhealthy dietary habit | 4102 (73.3) | 799 (73.6) | 0.825 | 1914 (76.1) | 299 (77.3) | 0.627 | 2188 (71.0) | 500 (71.6) | 0.745 |
| Deficient of 5 groups | 1240 (22.2) | 217 (20.0) | 0.114 | 598 (23.8) | 86 (22.2) | 0.500 | 642 (20.8) | 131 (18.8) | 0.221 |
| Deficient of vegetable | 1998 (35.7) | 365 (33.6) | 0.192 | 1041 (41.4) | 171 (44.2) | 0.302 | 957 (31.1) | 194 (27.8) | 0.090 |
| Deficient of water | 2042 (36.5) | 401 (37.0) | 0.773 | 764 (30.4) | 112 (28.9) | 0.563 | 1278 (41.5) | 289 (41.4) | 0.971 |
| Substance use | 1503 (26.9) | 333 (30.7) | 0.010 | 1270 (50.5) | 263 (68.0) | <0.001 | 233 (7.6) | 70 (10.0) | 0.030 |
| Alcohol drinking | 747 (13.4) | 157 (14.5) | 0.324 | 656 (26.1) | 125 (32.3) | 0.010 | 91 (3.0) | 32 (4.6) | 0.028 |
| Betel nut chewing | 523 ( 9.3) | 125 (11.5) | 0.027 | 507 (20.2) | 110 (28.4) | <0.001 | 16 (0.5) | 15 (2.1) | <0.001 |
| Cigarette smoking | 1191 (21.3) | 252 (23.2) | 0.156 | 1021 (40.6) | 215 (55.6) | <0.001 | 170 (5.5) | 37 (5.3) | 0.820 |
| Metabolic syndromea | 1221 (21.8) | 382 (35.2) | <0.001 | 699 (27.8) | 156 (40.3) | <0.001 | 522 (16.9) | 226 (32.4) | <0.001 |
| SBP/DBP≧130/85b | 2347 (41.9) | 606 (55.9) | <0.001 | 1367 (54.4) | 241 (62.3) | 0.004 | 980 (31.8) | 365 (52.3) | <0.001 |
| WC≧90/80 cm (M/F)c | 1926 (34.4) | 522 (48.1) | <0.001 | 901 (35.8) | 170 (43.9) | 0.002 | 1025 (33.3) | 352 (50.4) | <0.001 |
| FBG (≧100 mg/dl)d | 1449 (25.9) | 462 (42.6) | <0.001 | 812 (32.3) | 188 (48.6) | <0.001 | 637 (20.7) | 274 (39.3) | <0.001 |
| HDL-C<40/ 50 mg/dle | 1156 (20.7) | 301 (27.7) | <0.001 | 472 (18.8) | 101 (26.1) | 0.001 | 684 (22.2) | 200 (28.7) | <0.001 |
| TG(≧150 mg/dl)f | 1077 (19.2) | 249 (22.9) | 0.005 | 733 (29.2) | 131 (33.9) | 0.060 | 344 (11.2) | 118 (16.9) | <0.001 |
| Number of components | 1.4 ± 1.3 | 2.0 ± 1.4 | <0.001 | 1.7 ± 1.3 | 2.1 ± 1.3 | <0.001 | 1.2 ± 1.3 | 1.9 ± 1.4 | <0.001 |
NRT number of remaining teeth
aMetabolic syndrome: three of five items
bSystolic blood pressure/diastolic blood pressure
cWaist circumference, (male/female≧90/80 cm)
dFasting blood glucose
eHigh-density lipoprotein cholesterol
fTriglyceride
After adjusting for confounding factors, multivariate logistic regression showed that age >40 years (odds ratio [OR] = 4.56, 95 % confidence interval [CI]: 3.74–5.55), female sex (OR = 1.88, 95 % CI: 1.56–2.25), less education (OR = 2.4, 95 % CI: 1.90–3.02), infrequent use of dental floss (OR = 1.94, 95 % CI: 1.66–2.27), substance use (OR = 1.32, 95 % CI: 1.09–1.59), and a greater number of MetS components (OR = 1.1, 95 % CI: 1.04–1.16) were independently associated with a higher risk of NRT <20. Unhealthy dietary habits were not independently associated with NRT <20 (Table 3). In further analysis stratified by sex, the results demonstrated that the number of MetS components was not associated with tooth loss for male subjects (OR = 1.04, 95 % CI: 0.96–1.14). In contrast, the association between the number of MetS components and NRT <20 was significant for female subjects (OR = 1.13, 95 % CI: 1.06–1.21). In addition, the OR of the number of MetS components was significantly higher in women than in men, indicating a significant interaction between sex and the number of MetS components (p = 0.026, not shown in the table).
Table 3.
Multivariate logistic regression of associated factors with number of remaining teeth <20
| Predictor | Whole | Male | Female | |||
|---|---|---|---|---|---|---|
| aOR (95 % CI of OR) | P value | aOR (95 % CI of OR) | P value | aOR (95 % CI of OR) | P value | |
| Age (1 > 40 years) | 4.56 (3.74–5.55) | <0.001 | 4.21 (3.10–5.72) | <0.001 | 4.69 (3.62–6.08) | <0.001 |
| Gender (1 = female) | 1.88 (1.56–2.25) | <0.001 | – | – | – | – |
| Education (1 < high school) | 2.40 (1.90–3.02) | <0.001 | 2.14 (1.52–3.01) | <0.001 | 2.59 (1.89–3.55) | <0.001 |
| Dental floss (1 = infrequent) | 1.94 (1.66–2.27) | <0.001 | 2.23 (1.70–2.92) | <0.001 | 1.81 (1.49–2.19) | <0.001 |
| Substance use (1 = yes) | 1.32 (1.09–1.59) | 0.004 | 1.37 (1.07–1.75) | 0.013 | 1.31 (0.97–1.78) | 0.082 |
| Number of MetS component | 1.10 (1.04–1.16) | <0.001 | 1.04 (0.96–1.14) | 0.324 | 1.13 (1.06–1.21) | <0.001 |
| Dietary habit (1 = unhealthy) | 1.17 (0.99–1.37) | 0.061 | 1.13 (0.86–1.49) | 0.364 | 1.17 (0.96–1.43) | 0.112 |
aOR adjusted odds ratio, CI confidence interval, MetS metabolic syndrome
Discussion
If 8020 is the common consensus for pursuing a national health goal, it is necessary to explore the risk factors and possible mechanisms associated with fewer remaining teeth in rural areas. The present findings indicate a high prevalence of NRT <20 and fewer teeth among rural community adults. Despite the unmodifiable factors such as age, sex, and educational level, NRT <20 in rural adults was associated with infrequent use of dental floss, substance use, and MetS. These findings may echo some evidence that oral infection contributes to a low grade systemic inflammatory condition. Consequently, these microbial origins are characterized by loss of tooth attachment, resulting in edentulous if untreated [22]. Further, MetS has an adverse effect on periodontal health and periodontal infection, which further has an adverse effect on glycemic control [26, 27]. In this study, participants aged 20–64 years had a mean of only 24.6 remaining teeth at a mean age of 42.5 years, and 16.3 % had NRT <20. These results seem far from achieving the goal 8020 of Japan and the World Health Organization [1, 2]. Therefore, there is still considerable room for improvement, including how to improve healthy oral hygiene habits and reduce the incidence of MetS among rural adults.
Individuals with age >40 years, female sex, and less education were more prone to have NRT <20. This is similar to the finding of a previous study showing that older age was significantly associated with having 19 or fewer teeth [11]. Although mean age, age distribution, and educational level were similar between both sexes in the present study, women had fewer teeth and a higher percentage of NRT <20 than men. In addition, the association between the number of MetS components and NRT <20 was not significant for men, but was significant for women. Moreover, men had significantly less frequent use of dental floss and more unhealthy dietary habits, substance use, and MetS prevalence than women. Furthermore, there was a significant interaction between sex and factors associated with NRT. The exact reasons are unknown, but may be endocrinological differences between the sexes, such as how estrogen and androgens moderate menopause and differences in bone mineral density. In Japan, Ueno et al. [33] found that higher-parity women are more likely to lose teeth. In conjunction with an old Chinese saying that women “lose one tooth for giving birth to one child,” women may use such findings to justify their tooth loss as reasonable. In a recent study, Darcey et al. [34] reported that osteoporotic patients may be at greater risk of tooth loss. It is necessary to further explore the causal relationship between female sex, bone mineral density, and parity. All individuals, regardless of age or stage of life (such as pregnant or postmenopausal), should have at least 20 functional teeth.
Less educated individuals were at greater risk of NRT <20. This finding is congruent with those of many other studies, indicating that low educational level was related to tooth loss [11–13]. This may be because those with less education likely have lower socioeconomic status and may not possess the knowledge to take care of their teeth or lack easy access to dental services. Although the National Health Insurance of Taiwan, which was launched in 1995 and covers over 99 % of the population, offers oral check-ups twice yearly and aims to provide high quality and affordable health care to all Taiwanese, the limited dental service available has resulted in insufficient oral health service in rural areas [3]. Therefore, there is an urgent need for effective and efficient health policies to enhance accessibility of dental services and to individualize oral health education tailored to the culture.
Evidence supports that adequate use of dental floss after tooth brushing is important to oral hygiene and prevents tooth decay and periodontal disease [22]. More than half of participants reported that they seldom used dental floss after tooth brushing each day. Infrequent use of dental floss was associated with a higher risk of NRT <20 in this study. This result is similar to another study in Taiwan, wherein Hsu et al. [12] reported that those with low dentition were more likely to use dental floss less frequently. Compared with nationwide statistics, participants used dental floss (55.4 vs. 42.1 %) less often than the general population [3]. Three decades ago, dental floss was not even introduced as a routine daily practice in Taiwan, although tooth brushing was a common habit. The current study also found that men had significantly less frequent use of dental floss than women. However, women tended to have fewer teeth than men. Further study is needed to explain this seemingly disparate result. Dental hygiene should include dental floss and daily flossing is recommended [35].
In the present study, 27.5 % of the participants reported using alcohol, betel nuts, or cigarettes. Substance use was significantly associated with a higher risk of NRT <20. These results are consistent with those of previous studies [11, 12, 18]. Therefore, health care providers in primary settings need to educate the public about the influence of substance use (on tooth loss) and initiate a betel nut chewing and smoking cessation program. Additionally, a previous study showed that smoking was a major factor for tooth loss in postmenopausal women [33, 36]. In the present study, women were not asked about their menopausal status. Further study should consider the relationship between tooth loss and menopausal status.
The prevalence of MetS in the present study was high (24.0 %). A greater number of MetS components was independently associated with a higher risk of NRT <20; this is consistent with the findings of previous studies, which showed that higher body mass index [16], high FBG level [37], low HDL-C level, and high TG level were related to the number of missing teeth [5]. These results demonstrate a need for further study to understand more fully the mechanisms underlying the association of MetS with tooth loss.
Based on the present findings, additional actions need to be taken; including the dissemination of research findings to and educating the general public about factors associated with tooth loss, provision of regular dental services, and increased government involvement. A referral health care system could be established and regulated. Newly diagnosed MetS or diabetic patients should be referred for dental care. If a dentist suspects a client may have MetS or diabetes mellitus, referrals should be made for the patient to visit an endocrinologist.
Limitations
This study has limitations. First, only natural and filled teeth remaining in the oral cavity were counted by the research assistants. A more comprehensive dental examination by a dentist, including a visual evaluation of oral mucous membranes and a digital examination, is difficult to carry out in local hospitals. This might limit the study regarding the causes of tooth loss, such as periodontal disease. Second, the samples were not entirely random, and most of the participants had lower socioeconomic status. This limits any generalization of these findings and may be a potential threat to the internal validity of the health literacy issue, which requires consideration. To better understand factors related to tooth loss, future studies should focus on the following aspects: periodontitis, dental caries, economic status, frequency of tooth brushing, regular dental check-ups, history of diabetes mellitus, bone density, menopause status, and amount or type of substances consumed.
Conclusion
Despite some limitations, this study showed that a high prevalence of rural adults had NRT <20. Furthermore, despite unmodifiable factor, such as age, sex, and education, NRT <20 in rural adults was associated with unhealthy habits, including infrequent use of dental floss, chewing betel nuts, and MetS. Further research is needed to understand the mechanisms underlying the relationship between MetS and tooth loss, to explore ways to prevent teeth loss, and to enhance cessation of use of specific substances in rural populations.
Acknowledgments
The study was supported by a grant from the Taiwan Formosa Plastic Company (FCRPF6B0011) and Chang Gung Memorial Hospital (BMRP 148). We thank all participants living around the western coastal region in Yunlin County who helped in the success of this study.
Abbreviations
- FBG
fasting blood glucose
- HDL-C
high-density lipoprotein cholesterol
- MetS
metabolic syndrome
- NRT
number of remaining teeth
- TG
triglyceride
- WC
waist circumference
Footnotes
Su-Jen Tsai and Ming-Shyan Lin contributed equally to this work.
Competing interests
The authors hereby declare that there were no competing interests.
Authors’ contributions
SJT, MSL & MYC: Conceptualization of the study, study design, data analysis, discussion and editing of the final draft. WNC, SWJ & LTT: Conceptualization of the study and data collection. All authors read and approved the final manuscript.
Contributor Information
Su-Jen Tsai, Email: sjtsai@mail.cgust.edu.tw.
Ming-Shyan Lin, Email: mingshyan@gmail.com.
Wen-Nan Chiu, Email: wendy0625@cgmh.org.tw.
Su-Whi Jane, Email: swjane@mail.cgust.edu.tw.
Liang-Tse Tu, Email: final1024@adm.cgmh.org.tw.
Mei-Yen Chen, Phone: +886 (5) 3628800, Email: meiyen@mail.cgust.edu.tw.
References
- 1.World Health Organization. Oral health; 2015. Available from [http://www.who.int/mediacentre/factsheets/fs318/en/]. Accessed date of Aug 01, 2015.
- 2.Yamanaka K, Nakagaki H, Morita I, Suzaki H, Hashimoto M, Sakai T. Comparison of the health condition between the 8020 achievers and the 8020 non-achievers. Int Dent J. 2008;58(3):146–150. doi: 10.1111/j.1875-595X.2008.tb00190.x. [DOI] [PubMed] [Google Scholar]
- 3.Health Promotion Administration, Ministry of Health and Welfare, [HPA]. Oral health policy; 2015. Available from [http://www.hpa.gov.tw/English/Search.aspx?KeyWord=oral%20health&Subject=all]. Accessed date of May 31, 2015.
- 4.Ansai T, Takata Y, Soh I, Awano S, Yoshida A, Sonoki K, et al. Relationship between tooth loss and mortality in 80-year-old Japanese community-dwelling subjects. BMC Public Health. 2010;10:386. doi: 10.1186/1471-2458-10-386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Hyvarinen K, Salminen A, Salomaa V, Pussinen PJ. Systemic exposure to a common periodontal pathogen and missing teeth are associated with metabolic syndrome. Acta Diabetol. 2015;52(1):179–182. doi: 10.1007/s00592-014-0586-y. [DOI] [PubMed] [Google Scholar]
- 6.Minn YK, Suk SH, Park H, Cheong JS, Yang H, Lee S, et al. Tooth loss is associated with brain white matter change and silent infarction among adults without dementia and stroke. J Korean Med Sci. 2013;28(6):929–933. doi: 10.3346/jkms.2013.28.6.929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Stenman U, Wennstrom A, Ahlqwist M, Bengtsson C, Bjorkelund C, Lissner L, et al. Association between periodontal disease and ischemic heart disease among Swedish women: a cross-sectional study. Acta Odontol Scand. 2009;67(4):193–199. doi: 10.1080/00016350902776716. [DOI] [PubMed] [Google Scholar]
- 8.Naorungroj S, Slade GD, Beck JD, Mosley TH, Gottesman RF, Alonso A, et al. Cognitive decline and oral health in middle-aged adults in the ARIC study. J Dent Res. 2013;92(9):795–801. doi: 10.1177/0022034513497960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Park H, Suk SH, Cheong JS, Lee HS, Chang H, Do SY, et al. Tooth loss may predict poor cognitive function in community-dwelling adults without dementia or stroke: the PRESENT project. J Korean Med Sci. 2013;28(10):1518–1521. doi: 10.3346/jkms.2013.28.10.1518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Schwahn C, Polzer I, Haring R, Dorr M, Wallaschofski H, Kocher T, et al. Missing, unreplaced teeth and risk of all-cause and cardiovascular mortality. Int J Cardiol. 2013;167(4):1430–1437. doi: 10.1016/j.ijcard.2012.04.061. [DOI] [PubMed] [Google Scholar]
- 11.Ando A, Ohsawa M, Yaegashi Y, Sakata K, Tanno K, Onoda T, et al. Factors related to tooth loss among community-dwelling middle-aged and elderly Japanese men. J Epidemiol. 2013;23(4):301–306. doi: 10.2188/jea.JE20120180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hsu KJ, Yen YY, Lan SJ, Wu YM, Lee HE. Impact of oral health behaviours and oral habits on the number of remaining teeth in older Taiwanese dentate adults. Oral Health Prev Dent. 2013;11(2):121–130. doi: 10.3290/j.ohpd.a29360. [DOI] [PubMed] [Google Scholar]
- 13.Lundgren JD, Williams KB, Heitmann BL. Nocturnal eating predicts tooth loss among adults: results from the Danish MONICA study. Eat Behav. 2010;11(3):170–174. doi: 10.1016/j.eatbeh.2010.02.003. [DOI] [PubMed] [Google Scholar]
- 14.Huang JC, Peng YS, Fan JY, Jane SW, Tu LT, Chang CC, et al. Factors associated with numbers of remaining teeth among type 2 diabetes: A cross-sectional study. J Clin Nurs. 2013;22(13–14):1926–1932. doi: 10.1111/jocn.12225. [DOI] [PubMed] [Google Scholar]
- 15.Peres MA, Tsakos G, Barbato PR, Silva DA, Peres KG. Tooth loss is associated with increased blood pressure in adults-a multidisciplinary population-based study. J Clin Periodontol. 2012;39(9):824–833. doi: 10.1111/j.1600-051X.2012.01916.x. [DOI] [PubMed] [Google Scholar]
- 16.Ostberg AL, Bengtsson C, Lissner L, Hakeberg M. Oral health and obesity indicators. BMC Oral Health. 2012;12:50. doi: 10.1186/1472-6831-12-50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Akhter R, Hassan NM, Aida J, Zaman KU, Morita M. Risk indicators for tooth loss due to caries and periodontal disease in recipients of free dental treatment in an adult population in Bangladesh. Oral Health Prev Dent. 2008;6(3):199–207. [PubMed] [Google Scholar]
- 18.Morse DE, Avlund K, Christensen LB, Fiehn NE, Molbo D, Holmstrup P, et al. Smoking and drinking as risk indicators for tooth loss in middle-aged Danes. J Aging Health. 2014;26(1):54–71. doi: 10.1177/0898264313509278. [DOI] [PubMed] [Google Scholar]
- 19.Kanjirath PP, Kim SE, Rohr Inglehart M. Diabetes and oral health: the importance of oral health-related behavior. J Dent Hyg. 2011;85(4):264–272. [PubMed] [Google Scholar]
- 20.Patel MH, Kumar JV, Moss ME. Diabetes and tooth loss: An analysis of data from the National Health and Nutrition Examination Survey, 2003–2004. J Am Dent Assoc. 2013;144(5):478–485. doi: 10.14219/jada.archive.2013.0149. [DOI] [PubMed] [Google Scholar]
- 21.Ueno M, Takeuchi S, Oshiro A, Shinada K, Ohara S, Kawaguchi Y. Association between diabetes mellitus and oral health status in Japanese adults. Int J Oral Sci. 2010;2(2):82–89. doi: 10.4248/IJOS10025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Gurav AN. The association of periodontitis and metabolic syndrome. Dent Res J. 2014;11(1):1–10. [PMC free article] [PubMed] [Google Scholar]
- 23.Taylor GW, Borgnakke WS. Periodontal disease: associations with diabetes, glycemic control and complications. Oral Dis. 2008;14:191–203. doi: 10.1111/j.1601-0825.2008.01442.x. [DOI] [PubMed] [Google Scholar]
- 24.Polzer I, Schwahn C, Völzke H, Mundt T, Biffar R. The association of tooth loss with all-cause and circulatory mortality. Is there a benefit of replaced teeth? A systematic review and meta-analysis. Clin Oral Investig. 2012;16(2):333–351. doi: 10.1007/s00784-011-0625-9. [DOI] [PubMed] [Google Scholar]
- 25.Jeon CY, Haan MN, Cheng C, Clayton ER, Mayeda ER, Miller JW, Aiello AE. Helicobacter pylori infection is associated with an increased rate of diabetes. Diabetes Care. 2012;35(3):520–525. doi: 10.2337/dc11-1043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Choi YH, McKeown RE, Mayer-Davis EJ, Liese AD, Song KB, Merchant AT. Association between periodontitis and impaired fasting glucose and diabetes. Diabetes Care. 2011;34(2):381–386. doi: 10.2337/dc10-1354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Center for Disease Control and Prevention (CDC). Preventing cavities, gum disease, tooth loss, and oral cancers; 2014. Available from [http://www.cdc.gov/chronicdisease/resources/publications/]. Accessed date of May 31, 2015.
- 28.World Health Organization. Healthy diet; 2015. Available from [http://www.who.int/mediacentre/factsheets/fs394/en/]. Accessed date of May 31, 2015.
- 29.Health Promotion Administration, Ministry of Health and Welfare, [HPA]. Metabolic syndrome; 2015. Available from [http://www.hpa.gov.tw/BHPNet/Web/HealthTopic/TopicArticle.aspx?No=200712250123&parentid=200712250023]. Accessed date of May 31, 2015.
- 30.Chen MY, Wang EK, Yang RJ, Liou YM. Adolescent health promotion scale: development and psychometric testing. Public Health Nurs. 2003;20(2):104–110. doi: 10.1046/j.1525-1446.2003.20204.x. [DOI] [PubMed] [Google Scholar]
- 31.Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3(1):21. doi: 10.1186/1471-2288-3-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ren J, Ning Z, Kirkness CS, Asche CV, Wang H. Risk of using logistic regression to illustrate exposure-response relationship of infectious diseases. BMC Infect Dis. 2014;14(1):540. doi: 10.1186/1471-2334-14-540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ueno M, Ohara S, Inoue M, Tsugane S, Kawaguchi Y. Association between parity and dentition status among Japanese women: Japan public health center-based oral health study. BMC Public Health. 2013;13:993. doi: 10.1186/1471-2458-13-993. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Darcey J, Horner K, Walsh T, Southern H, Marjanovic EJ, Devlin H. Tooth loss and osteoporosis: to assess the association between osteoporosis status and tooth number. Br Dent J. 2013;214(4) doi: 10.1038/sj.bdj.2013.165. [DOI] [PubMed] [Google Scholar]
- 35.American Dental Association. Learn more about tooth brushes; 2015. Available from [http://www.ada.org/en/science-research/ada-seal-of-acceptance/product-category-information/toothbrushes]. Accessed date of May 31, 2015.
- 36.Mai X, Wactawski-Wende J, Hovey KM, LaMonte MJ, Chen C, Tezal M, et al. Associations between smoking and tooth loss according to the reason for tooth loss: the Buffalo OsteoPerio Study. J Am Dent Assoc. 2013;144(3):252–265. doi: 10.14219/jada.archive.2013.0112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Botero JE, Yepes FL, Roldan N, Castrillon CA, Hincapie JP, Ochoa SP, et al. Tooth and periodontal clinical attachment loss are associated with hyperglycemia in patients with diabetes. J Periodontol. 2012;83(10):1245–1250. doi: 10.1902/jop.2012.110681. [DOI] [PubMed] [Google Scholar]