1. Introduction
Regular physical activity is widely acknowledged as vital for a healthy lifestyle across all ages [
1]. Recently, global interest in sports for well-being has surged, with more people participating in physical activities, both amateur and professional. This aligns with advancements in sports medicine, a multidisciplinary field aimed at optimizing athletic performance and health. Within this field, sports dentistry is becoming a crucial but often overlooked specialty, addressing athletes' unique oral health challenges [2, 3].
Athletes are highly vulnerable to dental caries and erosion, significant concerns in sports medicine [
4]. Dental caries involves localized tooth demineralization due to acids produced by bacteria, while erosion is due to non-bacterial acid exposure causing overall irreversible enamel loss [
5]. Factors like high-sugar energy drinks, acidic supplements, and intense physical exertion impacting saliva flow and composition exacerbate these phenomena [
6]. These oral health conditions may adversely affect an athlete's ability to do sports and overall well-being.
Sports nutrition is crucial for enhancing athletic performance, affecting energy, endurance, and recovery [4, 7]. Nutritional strategies for pre-, intra-, and post-exercise phases focus on carbohydrates, electrolytes, and energy-dense foods or drinks [4, 8]. Frequent consumption of such aids, high in fermentable sugars and acids, increases the risk of dental caries and erosion [
9]. Additionally, decreased salivary flow during intense training or competition exacerbates this risk, as saliva is essential for neutralizing acids and promoting remineralization. Despite the clear links between nutrition, oral health, and athletic performance, the oral health needs of athletes remain underexplored in both clinical practice and research [
4]. Understanding the specific risk factors for dental caries and erosion in athletes is critical for developing targeted preventive strategies.
This study aims to bridge this gap by investigating the association between dental caries and erosion in athletes, and some dietary- and oral health habits.
2. Methods
2.1. Study Design, Setting and Participants
For the present cross-sectional study, data from a cohort of athletes followed at a Sports Dentistry Department of a university clinic (Egas Moniz Dental Clinic, Almada, Portugal) was used. The data was gathered through consecutive sampling of new patients seeking initial consultations from September 2023 to March 2024. The Egas Moniz Ethics Committee approved the study (1285/2023), and all participants provided informed consent. This report adheres to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines [
10] (Supplementary File S1).
2.2. Eligibility Criteria and Sampling
To be included in this study, participants had to: have 18 years of age or older; being able to read, understand, and sign the informed consent form; have declared that they play sport at any level; and were seeking initial triage at the Sports Dentistry department. Participants were invited to participate voluntarily and anonymously. Given the lack of studies comparing oral conditions with oral health values and quality of life, a minimum sample size was not estimated thus we carried out for a preliminary design, with a consecutive random sample obtained over a 6-month period.
2.3. Reliability and Calibration
Prior to the start of the study, the examiner (BM) was trained in the diagnosis of dental caries and erosive lesions through the detailed study of exemplary photographs (REFs), in order to improve the skills for identifying caries and erosion lesions and to train the use of the BEWE and ICDAS II indices. Secondly, 10 individuals were selected to be examined both by the examiner and by an experienced observer (CR), considered to be the Gold Standard. Overall, a very good agreement was achieved for BEWE (85.7%, Standard Error [SE]=11.1) and ICDAS (82.3%, SE=12.1).
2.4. Variables
2.4.1. Outcome Variables
During the oral examination, participants were positioned in a chair while the examiner utilized a disposable dental mirror, a light source, and cotton rolls for cleaning and drying teeth to conduct the assessment. Using the four-level Basic Erosive Wear Examination (BEWE) [
11], we assessed erosive lesions on all permanent teeth surfaces, with the exception of third molars. In each sextant, the most affected surface was documented, and the sum of these scores was computed. This total was then utilized to assign an individual risk level as follows: no risk (BEWE ≤ 2); mild risk (3<BEWE<8); moderate (9<BEWE<13); high (BEWE ≥ 14) [
11].
Caries was assessed using the International Caries Detection and Assessment System II (ICDAS II) [
12]. As per ICDAS criteria, the sites were recorded by a 0 to 6 scoring system: 0 = sound; 1 = first visual change in enamel; 2 = distinct visual change in enamel; 3 = localized enamel breakdown (without clinical visual signs of dentinal involvement); 4 = Underlying dark shadow from dentin; 5 = Distinct cavity with visible dentin; 6 = Extensive distinct cavity with visible dentin.
Patients with carious lesions and/or erosion received required treatment and/or clinical management.
2.4.2. Exposure Variables
Data were collected through a self-reported questionnaire on sociodemographic characteristics and behavioral aspects. This questionnaire was administered prior to taking a panoramic radiography and the clinical oral observation, which are both part of the protocol for first intake appointments. Overall, the information collected included sex, age, frequency and type of sport, an oral health self-assessment and a nutritional questionnaire.
Oral health self-assessment consisted of several questions: “How often do you brush your teeth each day?”, “What do you use for oral hygiene?”, “How regularly do you visit a dentist”, “Have you ever had or do you have any of the oral health problems listed below?”, “How do you rate your oral health?” (very bad, bad, satisfactory, good, very good, don’t know/refuse to answer). In the frequency and type of sport we inquired the sport practiced, the frequency per week, the level of sport (recreational, competitive amateur and high performance).
Questions on nutrition consisted of several questions about nutrition, including the frequency of eating foods with cariogenic and/or erosive potential and sports: soft drinks, coffee, tea, fruit juices and lemonade, energy drinks, isotonic drinks, isotonic gels, whey protein, ergogens (creatine, caffeine), B-Alkaline, sodium bicarbonate, multivitamins, L-carnitine, Omega-3. The frequency of consumption of the above-mentioned items were defined as follows: never (low frequency); once a week (low frequency); two to four times a week (moderate frequency); four to six times a week (moderate frequency); once a day (high frequency); twice a day (high frequency); more than twice a day (high frequency).
2.5. Statistical Analysis
Data was stored and recorded and statistically processed using IBM SPSS statistics software, version 29.0.1.0. Descriptive statistical analysis covered the investigation of measures such as mean, median, variance, standard deviation, minimum value, maximum value and interquartile range (IQR). We performed normality tests to determine the distribution of variables in the dataset. A significance level of 5% was adopted for all inferential analyses. To evaluate the associations between demographic, behavioral, and clinical factors with dental caries and dental erosion, multivariable regression models were employed, adjusting for potential confounders. We conducted four regressions: two linear regression models for the number of dental caries and the BEWE score; and, two logistic regression models for the presence of dental caries (presence of dental caries lesions vs. absence of dental caries lesions) and the risk of BEWE (BEWE ≤ 2 vs. BEWE>2].
3. Results
3.1. Study Sample and Characteristics
From an initial sample of 83 participants, 3 refused to complete the questionnaires after accepting participating. A final sample of 80 participants was obtained, with an age range (24.2 ± 4.0 years), with a predominance of men (70.0%) (
Table 1). Regarding dietary habits, 53.8% consumed 2–3 meals per day, while 45.0% consumed 4–5 meals. Most participants (77.5%) practiced one sport, with a median of four training sessions per week (IQR = 3) and two hours per session (IQR = 0.5). A majority had been practicing for less than 5 years (77.5%), with fewer reporting 5–10 years (22.5%), 10–15 years (30.0%), or more than 15 years (43.8%). Sugary drinks or foods were consumed occasionally by 53.8%, on most days by 36.3%, and daily by 6.3%, while 3.8% reported never consuming them.
Participants demonstrated varied oral hygiene habits (
Table 2), with all reporting toothbrush use (100%), followed by flossing (53.8%), mouthwash (41.3%), interdental brush (7.5%), and tongue brushing (11.3%). Fluoride toothpaste was reported by 67.5%. Regarding dental visits, 63.8% attended regularly even without complaints, 30.0% visited only when in pain or with complaints, while 2.5% never visited a dentist, and 3.8% were uncertain. Most participants had their last dental visit within six months (60.0%), with fewer reporting visits within 6–12 months (23.8%), over 12 months ago (13.8%), or uncertainty (2.5%). Oral health impacted training and competition in 15.0% and 12.5% of participants, respectively. Self-assessment of oral health was predominantly "Good" (51.3%) or "Very good" (23.8%), with smaller proportions reporting "Satisfactory" (20.0%) or "Bad" (5.0%). Half of the participants (50.0%) had caries, with a mean of 1.6 lesions (SD = 2.6). The prevalence of erosion was 40.0%, BEWE risk mostly absent (80.0%), with mild (12.5%), moderate (5.0%), or high risk (2.5%) reported less frequently.
The distribution of consumption of different types of drinks was also analyzed (
Table 3).
3.3. Dental Caries and Associated Factors
In the number of active caries lesions, significant associations were observed with self-perceived oral health and dietary habits (
Table 4). Good" (Estimate: -5.01, p = 0.0009) or "Very good" (Estimate: -5.46, p = 0.0006) had significantly association with the number of dental caries compared to those with poorer self-perception, with "Satisfactory" ratings approaching significance (Estimate: -5.21, p = 0.00015). Similarly, lower frequencies of sugary snack consumption were associated with the number of dental caries lesions. Other factors showed no significant associations. For the dichotomous variable of existing dental caries we did not observe significant associations in the final adjusted model (Supplementary File S2).
3.4. Dental Erosion and Associated Factors
The adjusted multivariable linear regression models for the associations between demographic, behavioral, and clinical factors with dental erosion shows statistically significant results with BEWE as a continuous variable (
Table 5) but not with is dichotomous transformation (Supplementary File S3).
Overall, the final adjusted model revealed significant associations between various behavioral and self-perceived factors and overall BEWE score. Participants who reported uncertainty about their meal frequency ("Don't know") had significantly lower dental erosion (Estimate: -12.56, p = 0.014), while those uncertain about their last dental visit ("Don't know") exhibited significantly higher scores (Estimate: 8.82, p = 0.014). Self-perceived oral health status showed a clear trend: participants who rated their oral health as "Good" (Estimate: -5.28, p = 0.005) or "Very good" (Estimate: -6.12, p = 0.003) had significantly lower dental erosion scores compared to those with poorer self-perception, with "Satisfactory" ratings approaching significance (Estimate: -3.85, p = 0.052). Conversely, meal frequency categories (4-5 meals/day) and the timing of the last dental visit (>12 months or 6-12 months) did not yield significant associations with BEWE (p > 0.05).
4. Discussion
This study explored the prevalence and associated factors of dental caries and erosion among athletes, highlighting the importance of self-perceived oral health, dietary habits, and oral hygiene behaviors in influencing these outcomes. Collectively, the prevalence of dental caries and erosion shows that 1 out of two athletes had dental caries lesions and 2 out of five had erosion lesions. Oral health self-awareness and regular dental care were the most significant risk indicators associated with the number of dental caries and the BEWE score, revealing its importance as determinants.
The findings underscore the association of self-perceived oral health and preventive behaviors with dental health management among athletes. The high prevalence of dental caries (50%) and erosion lesions (40%) observed in this population emphasizes the need for targeted oral health interventions tailored to the unique dietary and physical demands of athletes. These results are in line with those reported by Tripodi et al. in 2021 [
13]. The association between oral health self-awareness and reduced dental erosion highlights the potential benefits of promoting regular dental check-ups and personalized education on protective behaviors. These insights could inform the development of preventive strategies aimed at minimizing the burden of oral diseases in athletes, thereby supporting not only their oral health but also their overall performance and well-being. The prevalence of dental caries in our sample was higher compared to the established 35.0% global prevalence data in 2010 [
14], but in line with Azeredo et al. in 2020 with 46.25% [
15].
Half of the participants presented with dental caries, with self-perceived oral health emerging as a key determinant. Participants who assessed their oral health as "Good" or "Very good" demonstrated significantly fewer caries lesions compared to those with poorer perceptions, corroborating findings from previous studies that underscore the relevance of self-awareness in oral health. Furthermore, dietary habits played a critical role, with lower frequencies of sugary snack consumption being associated with reduced caries prevalence. These findings reinforce the need for targeted dietary counseling and oral health education among young athletes, whose nutritional demands may predispose them to higher consumption of sugar-rich diets.
In contrast, no significant associations were observed for the presence of caries in the adjusted model, suggesting that other unmeasured factors, such as genetic predisposition or fluoride exposure, might contribute to this outcome. This aligns with previous research indicating the multifactorial nature of dental caries, where behavioral, biological, and environmental factors interact.
Regarding the presence of fluoride in toothpaste, 67.5% of the sample reported using fluoride toothpaste, while 8.8% stated they do not use it, and 23.8% said they do not know or did not respond. Thus, most toothpaste sold in Portugal contains a low amount of fluoride, as recommended by the ADA for effective brushing. However, more than a third of the population denies its use, highlighting the importance of continuing oral hygiene instructions and prevention at the dentist. The ADA recommends brushing for 2 minutes twice a day with toothpaste containing a low amount of fluoride (1000-1500 ppm) [
16].
Regarding athletes' diet, concerning the frequency of consumption of sugary drinks, foods, or snacks, most of the sample (53.8%) reported consuming them occasionally, while 36.3% stated they consume them most days. Compared to the studies by Gallagher et al. during 2015-2016 [
17], it was found that 28.2% of athletes have a high sugar intake in their regular diet. Therefore, the WHO (World Health Organization) recommends moderate intake of free sugars throughout life and suggests reducing their intake to less than 10.0% of total daily energy intake [
18]. As for isotonic gels, we found 31.2% of the sample consumes them, while in the mentioned study, the percentage was 70.3%. These differences may be explained by the fact that in Gallagher's study, all participants are high-level professional athletes, whereas in our investigation, there are athletes of all levels, from amateur to high performance.
Regarding dental erosion, the study revealed significant associations with behavioral and self-perceived factors. Uncertainty regarding meal frequency was associated with significantly lower dental erosion, whereas uncertainty about the timing of the last dental visit was linked to higher erosion scores. These findings could reflect a lack of structured dietary and healthcare habits among these participants. Notably, participants with "Good" or "Very good" self-perceived oral health had lower BEWE scores, further emphasizing the relationship between self-awareness and oral health outcomes. This suggests that promoting a positive perception of oral health could motivate preventive behaviors and reduce the burden of dental erosion. The prevalence of erosion in adults may range from 4% to 82% [
19]. In a systematic review by Nijakowski et al. [
20], which included 16 studies on the prevalence of erosion in athletes, demonstrated that approximately half of the athletes studied show signs of erosion. These results are consistent with our research. Regarding location, the most affected sextants were the 4th sextant (32.6%) and the 6th sextant (33.8%), which aligns with findings of a higher prevalence of erosion in the lower first molars [
19].
Interestingly, meal frequency and the timing of the last dental visit (>12 months or 6–12 months) were not significantly associated with BEWE scores. This highlights the complex interplay of behavioral and clinical factors in dental erosion and underscores the need for further research to unravel these associations.
4.1. Strengths and Limitations
We assessed a self-assessment questionnaire, where responses may be overstated, and participants might feel reluctant to disclose personal details. This limitation underscores the challenge of ensuring complete honesty in self-assessment surveys. Furthermore, additional studies could be conducted to further explore potential risk indicators and specific preventive interventions aimed at reducing the prevalence of dental caries and erosion among athletes, thereby enhancing their overall well-being and sports performance. To achieve more significant results, increasing the sample size would be beneficial, preferably focusing on a more specific sports population, such as conducting the study within a single sport discipline. In the future, it would also be interesting to investigate salivary content before, during, and after training sessions, as suggested by previously [
21,
22,
23]. Given the significant role of saliva in oral health, further research could provide additional insights into the mechanisms involved in athletes' oral health. Also, the results shall be interpreted with caution considering the observational design that precludes causal-effect interpretations, and for these longitudinal studies shall be conducted to further confirm whether there is causality in these associations.
5. Conclusions
The prevalence of dental caries and dental erosion was elevated in this cohort of athletes. Dietary patterns and oral hygiene habits varied and showed significant associations with measures of dental caries and dental erosion. These findings highlight the need for targeted dietary counseling and oral health education among athletes, whose nutritional demands may predispose them to higher consumption of sugar-rich diets.
Supplementary Materials
The following supporting information can be downloaded at the website of this paper posted on Preprints.org, Table S1: STROBE Statement—checklist of items that should be included in reports of observational studies; Table S2: Multivariable linear regressions for dichotomic risk for dental caries; Table S3: Multivariable linear regressions for dichotomic risk for dental wear.
Author Contributions
Conceptualization, B.M. and C.R.; methodology, B.M. and C.R. and J.B.; validation, A.M.V., C.M. and J.B.; formal analysis, L.P. and J.B.; investigation, B.M. and C.R.; resources, J.B.; data curation, L.P. and J.B.; writing—original draft preparation, all authors; writing—review and editing, all authors; supervision, C.R..; project administration, J.J.M.; funding acquisition, J.J.M. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Egas Moniz Ethics Committee (nº 1285/2023).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Miko, H.-C.; Zillmann, N.; Ring-Dimitriou, S.; Dorner, T.E.; Titze, S.; Bauer, R. Auswirkungen von Bewegung auf die Gesundheit. Das Gesundheitswesen 2020, 82, S184–S195. [Google Scholar] [CrossRef]
- Saini, R. Sports dentistry. Natl. J. Maxillofac. Surg. 2011, 2, 129–31. [Google Scholar] [CrossRef]
- Stamos, A.; Engels-Deutsch, M.; Cantamessa, S.; Dartevelle, J.; Crouzette, T.; Haughey, J.; Del Grosso, F.; Avgerinos, S.; Fritsch, T.; Nanussi, A.; et al. A suggested universal protocol for dental examination in sports. Dent. Traumatol. 2023, 39, 521–530. [Google Scholar] [CrossRef] [PubMed]
- Needleman, I.; Ashley, P.; Fairbrother, T.; Fine, P.; Gallagher, J.; Kings, D.; Maughan, R.J.; Melin, A.K.; Naylor, M. Nutrition and oral health in sport: time for action. Br. J. Sports Med. 2018, 52, 1483–1484. [Google Scholar] [CrossRef] [PubMed]
- Frencken, J.E.; Sharma, P.; Stenhouse, L.; Green, D.; Laverty, D.; Dietrich, T. Global epidemiology of dental caries and severe periodontitis - a comprehensive review. J. Clin. Periodontol. 2017, 44 (Suppl. 18), S94–S105. [Google Scholar] [CrossRef] [PubMed]
- Ismail, A.I.; Sohn, W.; Tellez, M.; Amaya, A.; Sen, A.; Hasson, H.; Pitts, N.B. The International Caries Detection and Assessment System (ICDAS): an integrated system for measuring dental caries. Community Dent. Oral Epidemiology 2007, 35, 170–178. [Google Scholar] [CrossRef] [PubMed]
- Khan, K.; Qadir, A.; Trakman, G.; Aziz, T.; Khattak, M.I.; Nabi, G.; Alharbi, M.; Alshammari, A.; Shahzad, M. Sports and Energy Drink Consumption, Oral Health Problems and Performance Impact among Elite Athletes. Nutrients 2022, 14, 5089. [Google Scholar] [CrossRef] [PubMed]
- Lussi A, Ganss C (2014) Erosive Tooth Wear: From Diagnosis to Therapy. S. Karger AG.
- Buzalaf, M.A.R.; Hannas, A.R.; Kato, M.T. Saliva and dental erosion. J. Appl. Oral Sci. 2012, 20, 493–502. [Google Scholar] [CrossRef] [PubMed]
- Von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. J. Clin. Epidemiol. 2008, 61, 344–349. [Google Scholar] [CrossRef] [PubMed]
- Bartlett, D.; Ganss, C.; Lussi, A. Basic Erosive Wear Examination (BEWE): a new scoring system for scientific and clinical needs. Clin. Oral Investig. 2008, 12, 65–68. [Google Scholar] [CrossRef] [PubMed]
- Pitts N (2004) “ICDAS”--an international system for caries detection and assessment being developed to facilitate caries epidemiology, research and appropriate clinical management. Community Dent Health 21:193–198.
- Tripodi, D.; Cosi, A.; Fulco, D.; D’ercole, S. The Impact of Sport Training on Oral Health in Athletes. Dent. J. 2021, 9, 51. [Google Scholar] [CrossRef] [PubMed]
- Marcenes, W.; Kassebaum, N.; Bernabé, E.; Flaxman, A.; Naghavi, M.; Lopez, A.; Murray, C. Global Burden of Oral Conditions in 1990-2010. J. Dent. Res. 2013, 92, 592–597. [Google Scholar] [CrossRef] [PubMed]
- Antunes, L.S.; Azeredo, F.N.; Guimarães, L.S.; Luís, W.; Fialho, S.; Antunes, L.A.A. Estimated prevalence of dental caries in athletes: An epidemiological systematic review and meta-analysis. Indian J. Dent. Res. 2020, 31, 297–304. [Google Scholar] [CrossRef] [PubMed]
- Creeth JE, Gallagher A, Sowinski J, et al (2009) The effect of brushing time and dentifrice on dental plaque removal in vivo. J Dent Hyg 83:111–116.
- Gallagher, J.; Ashley, P.; Petrie, A.; Needleman, I. Oral health-related behaviours reported by elite and professional athletes. Br. Dent. J. 2019, 227, 276–280. [Google Scholar] [CrossRef] [PubMed]
- Yan, R.R.; Chan, C.B.; Louie, J.C.Y. Current WHO recommendation to reduce free sugar intake from all sources to below 10% of daily energy intake for supporting overall health is not well supported by available evidence. Am. J. Clin. Nutr. 2022, 116, 15–39. [Google Scholar] [CrossRef]
- Jaeggi T, Lussi A (2006) Prevalence, Incidence and Distribution of Erosion. In: Lussi A (ed) Monographs in Oral Science.
- Nijakowski, K.; Zdrojewski, J.; Nowak, M.; Podgórski, F.; Surdacka, A. Regular Physical Activity and Dental Erosion: A Systematic Review. Appl. Sci. 2022, 12, 1099. [Google Scholar] [CrossRef]
- Mulic, A.; Tveit, A.B.; Songe, D.; Sivertsen, H.; Skaare, A.B. Dental erosive wear and salivary flow rate in physically active young adults. BMC Oral Heal. 2012, 12, 8–8. [Google Scholar] [CrossRef] [PubMed]
- Nieman, D.C.; Henson, D.A.; Fagoaga, O.R.; Utter, A.C.; Vinci, D.M.; Davis, J.M.; Nehlsen-Cannarella, S.L. Change in Salivary IgA Following a Competitive Marathon Race. Int. J. Sports Med. 2001, 23, 69–75. [Google Scholar] [CrossRef] [PubMed]
- Allgrove, J.E.; Gomes, E.; Hough, J.; Gleeson, M. Effects of exercise intensity on salivary antimicrobial proteins and markers of stress in active men. J. Sports Sci. 2008, 26, 653–661. [Google Scholar] [CrossRef]
Table 1.
Characteristics of participants.
Table 1.
Characteristics of participants.
| Variable |
Result |
| Age, mean (SD) |
24.02 (4) |
| Females, n (%) |
30.0 (24) |
| Meals per day, % (n) |
|
| 2-3 meals |
53.8 (43) |
| 4-5 meals |
45.0 (36) |
| Don't know |
1.3 (1) |
| Number of sports practiced, % (n) |
|
| 1 |
77.5 (62) |
| 2 |
15.0 (12) |
| 3 or more |
7.5 (6) |
| Trains/week, median (IQR) |
4 (3) |
| Hours/training, median (IQR) |
2.0 (0.5) |
| Years practicing, % (n) |
|
| <5 y |
77.5 (62) |
| 5-10 y |
22.5 (18) |
| 10-15 y |
30.0 (24) |
| 15+ y |
43.8 (35) |
| Frequency of drinking sugary drinks or foods, % (n) |
|
| Never |
3.8 (3) |
| Occasionally |
53.8 (43) |
| Most days |
36.3 (29) |
| All days |
6.3 (5) |
Table 2.
Oral health habits, dental caries and dental erosion.
Table 2.
Oral health habits, dental caries and dental erosion.
| Variable |
Result |
| Oral hygiene habits, % (n) |
|
| Toothbrush |
100.0 (80) |
| Flossing |
53.8 (43) |
| Mouthwash |
41.3 (33) |
| Interdental Brush |
7.5 (6) |
| Tongue brush |
11.3 (9) |
| Other |
1.3 (1) |
| Tothpaste with fluoride, % (n) |
67.5 (54) |
| Regularity in dental visits, % (n) |
|
| Regularly, even without complaints |
63.8 (51) |
| Only when in pain or with complaints |
30.0 (24) |
| Never |
2.5 (2) |
| Don't know |
3.8 (3) |
| Last dental visit, % (n) |
|
| <6 months |
60.0 (48) |
| 6-12 months |
23.8 (19) |
| >12 months |
13.8 (11) |
| Don't know |
2.5 (2) |
| My oral status has affected my training, % (n) |
15.0 (12) |
| My oral status affected my competition, % (n) |
12.5 (10) |
| Oral health self-assessment, % (n) |
|
| Satisfactory |
20.0 (16) |
| Good |
51.3 (41) |
| Very good |
23.8 (19) |
| Bad |
5.0 (4) |
| Prevalence of caries lesions, % (n) |
50.0 (40) |
| Number of caries lesions |
1.6 (2.6) |
| Prevalence of erosion |
40.0 (32) |
| BEWE overall score, mean (SD) |
1.9 (3.7) |
| Erosion risk, n (%) |
|
| No risk |
80.0 (64) |
| Mild |
12.5 (10) |
| Moderate |
5.0 (4) |
| High |
2.5 (2) |
Table 3.
Consumption of different types of drinks per participant.
Table 3.
Consumption of different types of drinks per participant.
| |
Never |
1/week |
2-4/week |
4-6/week |
1/day |
2/day |
>2/day |
| Coffee |
28.8 (23) |
8.8 (7) |
20.0 (16) |
17.5 (14) |
1.3 (1) |
7.5 (6) |
47.5 (38) |
| Tea |
48.8 (39) |
23.8 (19) |
13.8 (11) |
8.8 (7) |
0.0 (0) |
1.3 (1) |
58.8 (47) |
| Carbonated drink |
22.5 (18) |
31.3 (25) |
33.8 (27) |
11.3 (9) |
0.0 (0) |
0.0 (0) |
35.0 (28) |
| Lemonade |
22.5 (18) |
25.0 (20) |
22.5 (18) |
26.3 (21) |
2.5 (2) |
0.0 (0) |
50.0 (40) |
| Energy drinks |
67.5 (54) |
20.0 (16) |
11.3 (9) |
1.3 (1) |
0.0 (0) |
0.0 (0) |
70.0 (56) |
| Isotonic drinks |
46.3 (37) |
27.5 (22) |
18.8 (15) |
5.0 (4) |
1.3 (1) |
1,3 (1) |
52.5 (42) |
| Isotonic gels |
68.8 (55) |
17.5 (14) |
13.8 (11) |
0.0 (0) |
0.0 (0) |
0.0 (0) |
70.0 (56) |
Table 4.
Multivariable linear regressions for the number of dental caries.
Table 4.
Multivariable linear regressions for the number of dental caries.
| |
Adjusted – Model 1 |
Adjusted – Model 2 |
| Variable |
Estimate |
95% CI |
p-value |
Estimate |
95% CI |
p-value |
| (Intercept) |
10.33 |
[1.06, 19.60] |
0.0332 |
8.98 |
[5.89, 12.07] |
0.00000 |
| Age |
-0.03 |
[-0.20, 0.14] |
0.7368 |
- |
- |
- |
| Male |
-0.39 |
[-1.99, 1.21] |
0.6349 |
- |
- |
- |
| BEWE |
0.14 |
[-0.20, 0.49] |
0.4176 |
- |
- |
- |
| Flossing |
0.11 |
[-1.26, 1.48] |
0.8741 |
- |
- |
- |
| 4-5 meals per day |
0.10 |
[-1.41, 1.62] |
0.8959 |
- |
- |
- |
| Don't know how many meals per day |
-1.30 |
[-10.28, 7.67] |
0.7770 |
- |
- |
- |
| Toothbrushing 2x/day |
-0.21 |
[-2.18, 1.77] |
0.8368 |
- |
- |
- |
| Visit dentist - Never |
-0.86 |
[-6.74, 5.02] |
0.7753 |
- |
- |
- |
| Visit dentist - Only when in pain or with complaints |
-0.72 |
[-4.51, 3.08] |
0.7131 |
- |
- |
- |
| Visit dentist - Regularly, even without complaints |
-0.82 |
[-4.56, 2.92] |
0.6681 |
- |
- |
- |
| Last dental visit - >12 months |
-0.07 |
[-2.06, 1.91] |
0.9418 |
- |
- |
- |
| Last dental visit - 6-12 months |
0.73 |
[-1.08, 2.54] |
0.4307 |
- |
- |
- |
| Last dental visit - Don't know |
0.42 |
[-5.35, 6.18] |
0.8881 |
- |
- |
- |
| Oral Health Assessment - Good |
-4.61 |
[-7.82, -1.40] |
0.0068 |
-5.01 |
[-7.39, -2.64] |
0.00009 |
| Oral Health Assessment - Satisfactory |
-4.68 |
[-8.21, -1.16] |
0.0118 |
-5.21 |
[-7.75, -2.66] |
0.00015 |
| Oral Health Assessment – Very good |
-4.82 |
[-8.39, -1.25] |
0.0107 |
-5.46 |
[-7.96, -2.95] |
0.00006 |
| Number of sports practiced |
0.03 |
[-0.83, 0.89] |
0.9499 |
- |
- |
- |
| `Trains/week` |
0.10 |
[-0.37, 0.56] |
0.6834 |
- |
- |
- |
| Years practicing |
|
|
|
|
|
|
| 5-10 y |
-0.22 |
[-4.42, 3.99] |
0.9194 |
- |
- |
- |
| 10-15 y |
-0.93 |
[-4.97, 3.12] |
0.6560 |
- |
- |
- |
| 15+ y |
-0.79 |
[-4.97, 3.40] |
0.7142 |
- |
- |
- |
| Frequency of drinking sugary drinks or foods, % (n) |
|
|
|
|
|
|
| Never |
-3.64 |
[-8.04, 0.76] |
0.1104 |
-1.94 |
[-4.15, 0.26] |
0.08852 |
| Occasionally |
-2.96 |
[-5.49, -0.42] |
0.0260 |
-3.60 |
[-6.95, -0.25] |
0.03836 |
| Most days |
-1.98 |
[-4.65, 0.69] |
0.1517 |
-3.02 |
[-5.18, -0.86] |
0.00777 |
Table 5.
Adjusted multivariable linear regressions for linear risk for dental erosion (BEWE as continuous variable).
Table 5.
Adjusted multivariable linear regressions for linear risk for dental erosion (BEWE as continuous variable).
| |
Adjusted – Model 1 |
Adjusted – Model 2 |
| Variable |
Estimate |
95% CI |
p-value |
Estimate |
95% CI |
p-value |
| (Intercept) |
3.96 |
[-8.25, 16.17] |
0.5276 |
7.59 |
[3.88, 11.30] |
0.0001 |
| Age |
0.10 |
[-0.13, 0.33] |
0.4119 |
- |
- |
- |
| Male |
0.12 |
[-1.95, 2.19] |
0.9095 |
- |
- |
- |
| Caries (n) |
0.14 |
[-0.20, 0.49] |
0.4176 |
- |
- |
- |
| 4-5 meals per day |
-0.54 |
[-2.60, 1.53] |
0.6112 |
-1.13 |
[-2.73, 0.46] |
0.1686 |
| Don't know how many meals per day |
-13.01 |
[-25.04, -0.97] |
0.0384 |
-12.56 |
[-22.36, -2.75] |
0.0144 |
| Toothbrushing 2x/day |
0.73 |
[-1.98, 3.45] |
0.5979 |
- |
- |
- |
| Visit dentist - Never |
3.33 |
[-4.21, 10.86] |
0.3903 |
- |
- |
- |
| Visit dentist - Only when in pain or with complaints |
2.55 |
[-2.59, 7.69] |
0.3354 |
- |
- |
- |
| Visit dentist - Regularly, even without complaints |
2.33 |
[-2.70, 7.35] |
0.3678 |
- |
- |
- |
| Last dental visit - >12 months |
0.58 |
[-2.15, 3.32] |
0.6775 |
0.20 |
[-2.10, 2.51] |
0.8639 |
| Last dental visit - 6-12 months |
-1.68 |
[-4.13, 0.76] |
0.1823 |
-1.64 |
[-3.66, 0.38] |
0.1159 |
| Last dental visit - Don't know |
8.16 |
[0.51, 15.81] |
0.0410 |
8.82 |
[1.96, 15.68] |
0.0140 |
| Oral Health Assessment - Good |
-5.03 |
[-9.49, -0.57] |
0.0309 |
-5.28 |
[-8.82, -1.73] |
0.0048 |
| Oral Health Assessment - Satisfactory |
-3.85 |
[-8.66, 0.96] |
0.1218 |
-3.85 |
[-7.66, -0.04] |
0.0518 |
| Oral Health Assessment – Very good |
-6.01 |
[-10.84, -1.18] |
0.0177 |
-6.12 |
[-9.98, -2.27] |
0.0027 |
| Number of sports practiced |
-0.20 |
[-1.38, 0.98] |
0.7445 |
- |
- |
- |
| `Trains/week` |
-0.35 |
[-0.98, 0.29] |
0.2880 |
- |
- |
- |
| Years practicing |
|
|
|
|
|
|
| 5-10 y |
-1.58 |
[-7.31, 4.14] |
0.5896 |
- |
- |
- |
| 10-15 y |
-0.54 |
[-6.25, 5.17] |
0.8525 |
- |
- |
- |
| 15+ y |
-0.45 |
[-6.03, 5.14] |
0.8760 |
- |
- |
- |
|
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