4. Discussion
This study aimed to evaluate the prevalence of erosive tooth wear among students and alumni at the Egas Moniz Dental Clinic using the BEWE index and to explore its relationship with salivary risk factors, such as pH and salivary flow rate. Erosive tooth wear has gained increasing importance in clinical practice and research, driven by lifestyle changes and greater exposure to causative agents. Its multifactorial nature makes accurate diagnosis a cornerstone for effective prevention and treatment strategies [
15].
The BEWE index, introduced in 2008, has emerged as a practical and reliable tool for assessing erosive tooth wear. Endorsed by the European Federation of Conservative Dentistry, it meets the scientific community's need for a standardized and efficient method to quantify risk. Unlike earlier indices, BEWE facilitates cross-study comparisons and integrates seamlessly with existing data, further solidifying its value in both clinical and research settings [
4,
11,
16,
17]. The high sensitivity and specificity of the BEWE index, as demonstrated in multiple studies, supports its use in prevalence studies and the classification of erosive lesions [
18,
19]. The calibration of examiners, as performed in this study, ensures consistent and reproducible results, with the substantial agreement observed (k = 0.649;
p = 0.0001) aligning well with prior research [
15,
16,
18,
19,
20].
The findings revealed that most participants (76 %) had no risk of erosive wear (BEWE score ≤ 2), while 24 % were categorized as low risk (BEWE score 3 – 8). Moderate to severe wear (grades ≥ 2) was observed in 15.6 % of the sample. These results are consistent with studies in Mediterranean populations, such as Spain (26.3 %) and Italy (21.9 %), suggesting a similar pattern of wear influenced by cultural and dietary habits [
19].
In a different study, in the same university clinic, although in a population of high-performance athletes, shows that 64% of patients were classified in the no-risk group, a value similar to that obtained in this study. However, the presence of patients in the moderate- and high-risk groups was observed, which was not the case in the present study. [
21]
The lower first molars, particularly in sextants 4 and 6, were identified as the most affected teeth, a pattern consistent with previous research. Some studies have also reported significant wear on the palatal surfaces of maxillary teeth, which did not occur in the present study [
14,
18,
19,
22]. Among other factors, this may be due to the type of saliva present in the region. Both the occlusal surfaces of the lower molars and the palatal surfaces of the upper incisors are covered by a layer of mucous saliva, which has a lower buffering capacity [
23].
The BEWE index simplifies the classification of dentin exposure, focusing on the lesion's extent across the tooth surface rather than its depth. This approach addresses the diagnostic challenges highlighted by Ganss et al. (2006) and Mulic et al. (2010), where visual assessments often struggle to determine the severity of lesions involving dentin [
18,
24]. By emphasizing surface involvement, BEWE index ensures a more comprehensive evaluation of erosive lesions.
Unlike what might be expected, no significant relationship/impact was found between gender, age, and the prevalence of erosive wear, consistent with Vered et al. (2014). This reinforces the notion that individual factors such as salivary properties and dietary habits may outweigh demographic influences. However, the smaller sample size in this study, compared to Vered et al., suggests that larger-scale investigations could provide additional insights [
15].
Saliva plays a vital protective role in mitigating erosive risk. Its properties, such as pH buffering capacity and flow rate, are critical in maintaining oral health. Salivary diagnostics offer a quick and non-invasive method for evaluating these parameters, making them highly valuable for identifying at-risk individuals and monitoring their condition. [
25,
26]. Although not yet a routine tool in clinical practice, sialometry is particularly beneficial for diagnosing conditions like xerostomia and hyposalivation [
4].
A recent investigation by Madariaga (2025) explored the relationship between salivary pH, salivary flow rate, and the severity of tooth wear, utilizing a distinct methodological approach and employing indices different from those used in the present study [
27]. Despite these methodological differences, Madariaga’s findings align closely with those of the current research, highlighting an association between stimulated salivary pH and the severity of tooth wear. This underscores the importance of salivary pH as a critical protective factor against acid-induced tooth wear. Furthermore, it may indicate that the monitoring of saliva pH may be used as a risk assessment tool in erosive tooth wear [
28].
The average timeframe required to observe erosive changes using indices is approximately 18 months. Therefore, it is crucial to develop methods capable of reducing this diagnostic interval. According to O'Toole et al. (2023), while qualitative tools like study models and clinical photographs often require up to two years to detect changes, clinical indices such as the Basic Erosive Wear Examination (BEWE) can identify alterations within this 18-month window [
29]. Furthermore, integrating digital 3D imaging with the BEWE index, as highlighted by Marro et al. (2018), enhances early detection, with intraoral scanners showing potential to monitor changes in as little as six months. This increased sensitivity to initial changes enables earlier intervention and the implementation of preventive strategies, particularly in younger populations where the prevalence of erosive tooth wear continues to rise [
30].
Nevertheless, this study faced several limitations. The primary constraints were the small sample size and the homogeneity of participants, predominantly young adults studying dentistry. This demographic likely contributed to a lower prevalence of risk factors and a heightened awareness of oral health behaviors. Additionally, the saliva collection method and pH testing procedures may have influenced sample quality. For instance, the exposure of saliva to the environment may have led to CO₂ loss, potentially causing an artificial increase in pH values.
Despite these limitations, this study provides valuable insights into the interplay between erosive wear and salivary factors. It highlights the necessity for further research involving larger and more diverse populations to better understand these relationships and validate the findings in broader contexts.