Abstract
Purpose
To determine the prevalence of dental erosion due to carbonated beverage consumption among adolescents and the association between both variables through a systematic review and meta-analysis.
Methods and Materials
This study was conducted in accordance with the preferred reporting items for systematic review and meta-analysis (PRISMA) guidelines for systematic reviews. A comprehensive literature search was performed in PubMed, Scopus, Web of Science, LILACS, and SciELO. Observational studies were included, and the PEO framework was used to identify dental erosion and non-erosion (outcome) and intake of carbonated beverages (exposure) in adolescents (population). The prevalence of dental erosion and odds ratio (OR) with 95% confidence interval (95%CI) to determine the risk of carbonated beverages were estimated with MedCalc V.23.0.2 and Review Manager (RevMan V.5.4.1) software, respectively. A P value < 0.05 was considered to indicate statistical significance.
Results
A total of 24 studies met the eligibility criteria. The pooled sample included 21,541 adolescents, and the overall erosion prevalence was 37.6% (95%CI 26.3, 49.7%). The meta-analysis revealed a significant association between carbonated beverage consumption and dental erosion (OR = 1.98, 95%CI: 1.42–2.77; 7785 participants; I2 = 80%; P < 0.0001).
Conclusion
Dental erosion is a prevalent condition among adolescents, with a pooled prevalence of 37.6%. Carbonated beverage consumption among adolescents is associated with a 98% increased risk of dental erosion.
Keywords: adolescents, carbonated beverages, dental erosion, risk factor
Dental erosion is defined as the irreversible loss of tooth structure caused by the chemical action of acids and/or chelating agents of nonbacterial origin. Structural loss due to erosion is a progressive, localised, asymptomatic, and irreversible process. The acids responsible for this process do not originate from intraoral bacterial activity but rather from extrinsic sources such as diet and the environment or from intrinsic sources such as gastric acid.50 Among the extrinsic factors, the consumption of beverages with low pH is particularly relevant, as it initially affects the enamel and can reach the dentin and pulp in more advanced stages, leading to hypersensitivity, severe pain, discomfort during mastication, fractures, and even tooth loss.14,52
The increasing consumption of soft drinks and other carbonated beverages is a growing trend among adolescents, largely because of changes in dietary habits and lifestyles. The erosive potential of these drinks is linked to both their added sugars and acids and to the presence of carbon dioxide, which produces carbonic acid, and other factors that contribute to their erosive potential are pH, titratable acidity, and their calcium and phosphate concentration. The method, frequency of intake and duration of exposure in the oral cavity are important. There is a big difference between drinking very quickly versus drinking and holding or drinking and swishing in the mouth, which significantly increases the ability of these compounds to induce acid wear on dental enamel through their action on hydroxyapatite crystals, ultimately weakening the enamel. This process may be attenuated by the buffering capacity and mineral content of saliva.41
Epidemiological studies involving adolescents have revealed prevalence rates of dental erosion exceeding 30%, with higher susceptibility in males and an increasing trend with age.29,43 Although erosion mainly affects enamel, preventive strategies based on solid evidence are essential. Given the increased frequency of soft drink consumption among adolescents, previous systematic reviews have revealed a positive association between the consumption of carbonated beverages and the development of dental erosion.7,27 However, the evidence remains inconsistent because some studies have failed to find statistically significant associations. For instance, in an analysis of NHANES 2003–2004 data, Samman et al44 reported no clear link between carbonated beverage consumption and erosive tooth. These discrepancies underscore the need for more robust evidence to clarify the relationship between carbonated beverages and dental erosion.
Therefore, the objective of this study is to present the global prevalence and a synthesis of current evidence on the relationship between dental erosion and carbonated drink consumption among adolescents through a systematic review and meta-analysis. The results of this study can be used in the design of preventive programmes that can reduce the impact of dental erosion in this vulnerable age group.
MATERIALS AND METHODS
The protocol for this systematic review was designed by all the authors. This study was registered at the National Institute for Health Research, PROSPERO, International Prospective Register of Systematic Review (ID: CRD42023398708) and was designed in accordance with the preferred reporting items for systematic review and meta-analysis (PRISMA) guidelines.38
Search Strategy and Study Selection
All relevant literature published between 2000 and 17 December 2023 was systematically extracted from five international databases, including PubMed, Web of Science, Scopus, the Latin American and Caribbean Health Sciences Literature database (LILACS), and SciELO. Medical subject headings (MeSH) and free terms were combined according to the syntax rules for each database. Terms related to dental erosion and risk factors were searched. Our search strategy included the following terms: ‘tooth erosion’, ‘dental erosion’, ‘adolescents’, and ‘carbonated drinks’, with the Boolean indicators AND, OR, with the research question: What is the evidence on carbonated beverages as a risk factor for dental erosion in adolescents? Moreover, we manually screened potentially relevant publications from the references of our retrieved studies. This process was performed independently by two participants (MLJL and FG).
Participants and Eligibility Criteria
The study’s inclusion criteria followed a PEO framework: used to identify dental erosion and non-erosion (outcome) and intake of carbonated beverages (exposure) in adolescents (population). The odds ratios (ORs) with 95% confidence intervals (CIs) were considered or computed if enough relevant data were available. We included studies that were properly registered and approved by their relevant ethics committees; case–control, cross-sectional, and cohort studies were utilised. Only studies in English and Spanish were included.
Studies were excluded if they were case reports, reviews, summaries of discussions, or in vitro studies; if they contained insufficient data for analysis, or if the patients were stratified based on the degree of severity.
In this study, the diagnostic criterion was limited to the detection of the presence or absence of erosive dental lesions, without considering the extent or severity of tissue loss. The use of various clinical indices in adolescent populations is justified by their ability to capture early and clinically meaningful signs of dental erosion. Table 1 presents the primary diagnostic features of the indices applied in adolescent cohorts, all of which consider the identification of initial erosive changes as a central criterion; all the indices detect early lesions. For the purposes of this analysis, carbonated beverages were operationally defined as sugar-containing drinks characterised by effervescence.
Table 1.
Criteria for dental erosion indices
|
Index |
Author/year |
Surfaces evaluated |
Scoring scale |
Detect other types of wear |
Scope of use |
|---|---|---|---|---|---|
|
BEWE30 |
Lussi et al, 2008 |
Dental sextants (most affected tooth per sextant) |
0 to 3 |
No |
Clinical and epidemiological |
|
Johansson and Carlsson23 |
Johansson et al, 2003 |
Buccal and occlusal surfaces |
0 to 3 |
No |
Epidemiological (adolescents) |
|
O’Sullivan37 |
O’Sullivan, 2000 |
Upper incisors and permanent molars |
0 to 4 |
No |
Epidemiological (children/adolescents) |
|
Lussi28 |
Lussi, 2000 |
Buccal, palatal, and occlusal surfaces |
0 to 3 |
No |
Clinical and experimental |
|
Smith and Knight (TWI)49 |
Smith and Knight, 1984 |
All tooth surfaces |
0 to 4 |
Yes |
Clinical and academic |
|
Eccles12 |
Eccles, 1979 |
Incisors and molars |
0 to 3 |
No |
Clinical |
To evaluate publication bias, we examined the symmetry of the funnel plot and evaluated the intercept of publication bias quantitatively using Egger’s regression test. Additionally, only studies that evaluated the association between dental erosion and the consumption of this kind of drink more than once daily or more than seven times weekly were included in the meta-analysis. These exposure thresholds were regarded as equivalent and ensured consistent classification of high-frequency intake across the selected studies.
Data Extraction and Quality Assessment
The literature screening, data extraction, and literature quality evaluation were conducted separately by two analysts (MLJL and FG). Any differences were resolved through mutual discussion or consultation with a third analyst (LC).
A data extraction spreadsheet was designed, and the following information was extracted: first author’s surname, year of publication, country, participant characteristics, and statistical summaries related to factor risk (carbonated drinks).
Risk of Bias
The quality of each included study was independently assessed by the two analysts to evaluate the possible risk of bias, and the Newcastle–Ottawa scale (NOS), as it provides a comprehensive framework for observational studies that focuses on three key domains: selection of study groups, comparability of groups, and outcome assessment to obtain a final score.35 The NOS is a star rating system that assigns a maximum of nine stars across three categories. Studies scoring three or four stars in selection, one or two stars in comparability, and two or three stars in outcome/exposure were considered of good quality. Studies with two stars in selection, one or two stars in comparability, and two or three stars in outcome/exposure were classified as fair quality. When the studies scored no stars or one star in selection, no stars in comparability, and no stars or one star in outcome/exposure, they were considered of poor quality. In accordance with this method, a study is considered to have a low risk of bias (8 or 9 stars), a fair risk (5–7 stars), or a high risk of bias (< 5 stars). In this review, 24 studies with scores ≥ 5 were included for analysis.
Statistical Analysis and Meta-Analyses
A standardised data extraction form was used for qualitative analyses to record the study characteristics (author and publication year), study design, and main findings. The meta-analysis of prevalence was conducted using MedCalc software version 23.0.2 (MedCalc Software), applying the Freeman–Tukey’s arcsine square-root transformation and the DerSimonian and Laird random-effects model. Publication bias was assessed through Egger’s test.
To evaluate the association between dental erosion and carbonated drink consumption, OR and 95% confidence interval (95%CI) were calculated. The meta-analysis of ORs was performed using Review Manager (RevMan) software version 5.4.1 (Cochrane Collaboration),42 using the Mantel–Haenszel (M–H) method with a DerSimonian and Laird random-effects model. The I2 statistic was used to assess heterogeneity among studies, with values of ≤ 25%, 25–50%, 50–75%, and > 75% indicating no, low, moderate, and significant heterogeneity, respectively.
For both meta-analyses, forest plots were generated, and a P value < 0.05 was considered statistically significant.
RESULTS
Selection, Characteristics, and Quality of the Studies
A total of 131 articles were identified; after removing duplicates, 101 records remained. Titles and abstracts were screened for the eligibility criteria, resulting in the selection of 24 full-text articles for qualitative analysis. Among the included articles, 21 were cross-sectional studies, 2 were case–control studies, and 1 was a cohort study. For the prevalence meta-analysis, cross-sectional studies were used. To assess the association between dental erosion and carbonated beverages, only five articles were considered for the quantitative analysis of risk factors because they could be combined (Fig 1).
Fig 1.
PRISMA flow diagram.
Qualitative Analysis
Table 2 presents the main findings from the included studies, which involved 21,541 adolescent participants. The reported prevalence of dental erosion ranged from 1.4% to 80%. The average participant age was 15.0 ± 2.7 years.
Table 2.
Summary of the studies on dental erosion and soft drink consumption
|
Author, year, country |
Study design |
Sample characteristics and index used |
Findings |
|---|---|---|---|
|
González-Aragón et al17 (2022), Mexico |
Case‒control study |
n = 291, age 13–14 yearsIndex: BEWE |
The case and control groups were conformed each one by n = 97 subjects. The BEWE score for cases with marked defects was 4.77 ± 0.93; the score for mild cases was 2.01 ± 0.54. Weekly sweetened carbonated drink intake: 3.22 ± 4.18 (cases) vs 1.98 ± 1.96 (controls). OR 1.16, 95%CI: 1.03–1.31, P = 0.012. Weekly milk intake was a protective erosion factor. P = 0.043. |
|
Jász et al22 (2022), Hungary |
Cross-sectional |
n=579, age 12 yearsIndex: BEWE |
Prevalence: 21.2%.Higher scores were observed in urban areas.A correlation was observed between erosion and daily cola/carbonated beverage consumption (P = 0.034), which was also associated with maternal education level. |
|
Korkmaz et al25 (2020), Turkey |
Cross-sectional |
n = 473, age 11–14 yearsIndex: O’Sullivan |
Prevalence: 21%.Cola beverage: OR 3.6 (95%CI: 2.04–6.51), soda: OR 2.14 (95%CI: 1.12–4.08), energy drinks: OR 10.1 (95%CI: 1.34–75.25).Higher erosion in students who sipped slowly, retained drinks in mouth, or drank before bedtime (P < 0.05). |
|
Simangwa et al48 (2019), Tanzania and Uganda |
Cross-sectional |
n = 906, age 12-17 yearsIndex: Johansson y Carlsson |
Prevalence: 30%.Association with carbonated drinks: OR 1.6 (95%CI: 1.3–2.1). Fluorosis and caries are also reported. |
|
Marro et al31 (2018), Belgium |
Cross-sectional |
n = 613, age 13-17 yearsIndex: BEWE |
Prevalence: 48.6%.Association with carbonated beverages > 1/day: OR 2.13 (95%CI: 1.38–3.28), P = 0.001.School environment may influence dietary habits and the prevalence of erosion. |
|
Skalsky et al47 (2018), Sweden |
Nested Cross-sectional |
n = 1335, age 15-17 yearsIndex: SEPRS Simplified erosion partial recording system |
Prevalence: 31.4%.Higher soft drink intake several times per week was associated with erosion (P < 0.001).OR 1.65 (95%CI: 1.25–2.15), P = 0.001.Also linked to lifestyle factors such as consumption of juices or sports drinks after exercise. |
|
Harlukowicz et al18 (2017), Poland |
Cross-sectional |
n = 240, age 12-18 yearsIndices: Lussi, O’Sullivan, BEWE |
Prevalence: 16.25%.BEWE score: 2.23 ± 1.42.Spearman correlation reported with erosion in oclusal surfaces P < 0.05. |
|
Provatenou et al40 (2016), Greece |
Cross-sectional |
n = 263, age 14 yearsIndex: BEWE |
Prevalence: 21%.Lesions were mostly in enamel.Carbonated drink consumption was associated with erosion.OR 2.11 (95%CI: 1.0–4.30), P < 0.05. |
|
Shahbaz et al46 (2016), Pakistan |
Cross-sectional |
n = 385, age 12–14 yearsIndex: BEWE |
Prevalence: 46%.Consumption > 8 times/week associated with erosion.OR 3.87 (95%CI: 1.43–10.49), P < 0.001.Brushing after drinks resulted in increased erosion. |
|
González et al16 (2016), Mexico |
Cross-sectional |
n = 417, age 14–19 yearsIndex: Lussi |
Prevalence: 31.7%.Associated with frequent sweetened soda intake (≥4 times/week): OR 1.80 (95%CI: 1.03–3.07), P = 0.03.Also associated with xerostomia and posterior molar erosion. |
|
Kirthiga et al24 (2015), India |
Cross-sectional |
n = 2000, age 11–16 yearsIndex: O’Sullivan |
Prevalence: 1.4%.No association with carbonated drink intake.Considered personal demographic data and acidic food/drink habits. |
|
Al-Hadi et al2 (2013), Jordan |
Cross-sectional |
n = 3812, age 12 yearsIndex: Smith and Knight |
Prevalence: 32.2%.Association with carbonated drinks. < 0.01 and drinking before bedtime, OR 7.8 (95%CI: 3.94–15.42), retaining drinks in mouth, sports beverages, swimming, systemic diseases, steroid inhalation, regurgitation, and antacid use. |
|
Chrysanthakopoulos et al9 (2012), Greece |
Cross-sectional |
n = 770, age 13–16 yearsIndex: BEWE |
Prevalence: 33.8%.Associated with carbonated drink intake, OR 3.99 (95%CI: 1.37–11.59, P = 0.011).Some adolescents retained drinks in their mouth before swallowing; night-time acidic beverage consumption was also associated. |
|
El Aidi et al13 (2011), Netherlands |
Cohort |
n = 572, age 11 yearsIndex: Lussi |
Prevalence: 42%.Associated with carbonated drinks, OR 1.04 (95%CI: 1.01–1.07, P = 0.016).Greater prevalence in molars vs incisors.Also linked to bruxism and mixed alcoholic beverages. |
|
Kumar et al26 (2011), India |
Cross-sectional |
n = 605, age 11–14 yearsIndex: O’Sullivan |
Prevalence: 8.9%.Associated with lemon drink intake several times/day, OR 13.4 (95%CI: 1.5–116.7, P < 0.001) and carbonated drinks, OR 2.8 (95%CI: 1.32–5.92, P = 0.007). |
|
Bardolia et al6 (2010), UK |
Cross-sectional |
n = 629, age 13 yearsModified Partial Index |
Prevalence: 30.62%.Carbonated drink intake > 1/day associated with erosion, OR 1.6 (95%CI% 1.1–2.3).More frequent in males. |
|
Okunseri et al36 (2010), USA |
Cross-sectional |
n = 1314, age 13–19 yearsIndex: Smith and Knight |
Prevalence: 45%. No individual association was found, but the adjusted model showed associations with male sex, age, and higher intake of juices and carbonated drinks, OR 1.24 (95%CI: 1.08–1.43, P = 0.03). |
|
Hasselkvist et al19 (2010), Sweden |
Cross-sectional |
n = 474 (227 aged 13–14; 247 aged 18–19)Index: Smith and Knight (TWI) |
Prevalence: 34.4%.Erosion severity was greater in 18–19-year-old boys (P < 0.05).Carbonated drink intake correlated with erosion severity. |
|
Wang et al53 (2010), China |
Cross-sectional |
n = 1499, age 12–13 yearsEccles and O’Sullivan Index |
Prevalence: 27.3%.Higher erosion in adolescents drinking sodas > 1/week.Most affected: maxillary central incisors, incisal or occlusal surfaces.OR 1.29 (95%CI: 1.028–1.64), P = 0.02. |
|
Waterhouse et al54 (2008), Brazil |
Cross-sectional |
n = 458, age 13 yearsIndex: Smith and Night |
Prevalence: 34.1%.Carbonated drink consumption associated with erosion.OR 1.71 (95%CI: 1.12–2.62), P = 0.014. |
|
Milosevic et al34 (2004), UK |
Cross-sectional |
n = 2385, age 14 yearsTooth Wear Index |
Prevalence: 27.04%.OR 1.32 (95%CI: 1.08–1.62), P < 0.0001.Also examined relationship with other foods and frequency of consumption of various beverages. |
|
Árnadóttir et al5 (2003), Iceland |
Case-control |
n = 278, age 15 yearsIndex: BEWE |
The case and control groups were conformed by n = 60 subjects each one.High-risk threshold: > 800 ml/day.No association with carbonated drinks was found (OR 1.7, 95%CI: 0.5–5.0, P > 0.05).Lesions were classified by location. |
|
Al-Majed et al3 (2002), Saudi Arabia |
Cross-sectional |
n = 354 (age 5–7), n = 862 (age 12–14)Index: Smith and Knight (TWI) |
Prevalence: 95%.Risk associated with consuming carbonated drinks before bedtime.In 5–6-year-olds, erosion was associated with sugary drink intake.In 12–14-year-olds, erosion was observed in permanent teeth due to consumption of various sugary drinks (P = 0.02). |
|
Al-Dlaigan et al1 (2001), UK |
Cross-sectional |
n = 418, age 14 yearsIndex: BEWE |
Prevalence: 80%.Associated with intake of beer, sports drinks, apple, strawberry, vinegar, salad dressing.Spearman correlation. Erosive lesions were associated with cola and other carbonated beverage consumption (P < 0.001). |
There was variability in the diagnostic index for erosion; eight studies used the BEWE index, three used Lussi’s index, six used the Smith and Knight index (TWI), four used O’Sullivan’s index, one used the Carlsson index, and two used the simplified erosion teeth partial recording system.
An analysis of the included studies revealed that 19 (74%) reported a statistically significant association between carbonated beverages and dental erosion. In the remaining 26%, the association was either not statistically significant or was the result of exposure to a combination of various acidic beverages.
Quantitative Analysis
The random-effects meta-analysis of prevalence revealed that 37.6% (95%CI 26.3, 49.7%) of the participants in the included studies had dental erosion (Fig 2).
Fig 2.
Forest plot of the prevalence of dental erosion, 37.6% (95%CI: 26.6 to 49.7%).
In addition, the pooled results indicated that adolescents who consumed carbonated beverages had a 98% grater of experiencing dental erosion (OR = 1.98, 95% CI: 1.42–2.77; 7785 participants; P = 0.0001). However, the observed heterogeneity (I2 = 80%) reflects differences among the included studies (Fig 3). Because the consumption of carbonated beverages by gender is not reported in primary studies, it was not possible to carry out a stratified analysis.
Fig 3.
Association between carbonated beverage consumption more than once a day and dental erosion among adolescents.
Risk of Bias
The quality of 20 studies was good; four studies were classified as fair quality and bias, one of which shows a total score of five stars. The comparability of participants was less fulfilled by 11 studies, being the category of lowest compliance, increasing the risk of bias (Table 3).
Table 3.
Quality of the included studies
|
Author |
Year |
Country |
Selection |
Comparability |
Outcome |
Total |
Quality |
Bias |
|
|---|---|---|---|---|---|---|---|---|---|
|
★ = 1 point according to the Newcastle–Ottawa Scale (NOS). | |||||||||
|
González-Aragón et al17 |
2022 |
Mexico |
★★★ |
★ |
★★★ |
7 |
Good |
Low |
|
|
Jasz et al22 |
2022 |
Hungary |
★★★ |
★ |
★★★ |
7 |
Good |
Low |
|
|
Korkmaz et al25 |
2020 |
Turkey |
★★★ |
★★ |
★★ |
7 |
Good |
Low |
|
|
Simangwa et al48 |
2019 |
Tanzania & Uganda |
★★★ |
★★ |
★★ |
7 |
Good |
Low |
|
|
Marro et al31 |
2018 |
Belgium |
★★★ |
★★ |
★★ |
7 |
Good |
Low |
|
|
Skalsky et al47 |
2018 |
Sweden |
★★ |
★★ |
★★ |
6 |
Fair |
Fair |
|
|
Harlukowicz et al18 |
2017 |
Poland |
★★ |
★★ |
★★ |
6 |
Fair |
Fair |
|
|
Provatenou et al40 |
2016 |
Greece |
★★★ |
★★ |
★★ |
7 |
Good |
Low |
|
|
Shahbaz et al46 |
2016 |
Pakistan |
★★ |
★ |
★★ |
5 |
Fair |
Fair |
|
|
González et al16 |
2016 |
Mexico |
★★★ |
★ |
★★★ |
7 |
Good |
Low |
|
|
Kirthiga et al24 |
2015 |
India |
★★★ |
★★ |
★ |
6 |
Good |
Fair |
|
|
Al-Hadi et al2 |
2013 |
Jordan |
★★★ |
★ |
★★★ |
7 |
Good |
Low |
|
|
Chrysanthakopoulos et al9 |
2012 |
Greece |
★★★ |
★ |
★★ |
6 |
Good |
Fair |
|
|
El Aidi et al13 |
2011 |
Netherlands |
★★★ |
★ |
★★★ |
7 |
Good |
Low |
|
|
Kumar et al26 |
2011 |
India |
★★ |
★★ |
★★ |
6 |
Fair |
Fair |
|
|
Bardolia et al6 |
2010 |
United Kingdom |
★★★ |
★★ |
★ |
6 |
Good |
Fair |
|
|
Okunseri et al36 |
2010 |
USA (Wisconsin) |
★★★ |
★★ |
★ |
6 |
Good |
Fair |
|
|
Hasselkvist et al19 |
2010 |
Sweden |
★★★ |
★★ |
★★ |
7 |
Good |
Low |
|
|
Wang et al53 |
2010 |
China |
★★★ |
★★ |
★★ |
7 |
Good |
Low |
|
|
Waterhouse et al54 |
2008 |
Brazil |
★★★★ |
★ |
★★ |
7 |
Good |
Low |
|
|
Milosevic et al34 |
2004 |
United Kingdom |
★★★ |
★★ |
★ |
6 |
Good |
Fair |
|
|
Árnadóttir et al5 |
2003 |
Iceland |
★★★ |
★ |
★★ |
6 |
Good |
Fair |
|
|
Al-Majed et al3 |
2002 |
Saudi Arabia |
★★★★ |
★ |
★★ |
7 |
Good |
Low |
|
|
Al-Dlaigan et al1 |
2001 |
United Kingdom |
★★★ |
★ |
★★ |
6 |
Good |
Fair |
|
Publication bias was assessed using funnel plot (Fig 4) and Egger’s test: 7.38 (95%CI: –14.05 to 28.81, P = 0.479). The funnel plot and the intercept value suggest asymmetry. However, the statistical analysis does not provide strong evidence of publication bias.
Fig 4.
Funnel plot to evaluate the publication bias. Result of Egger test 7.38 (95%CI: ‒14.05 to 28.81) P = 0.479.
DISCUSSION
In this systematic review, the prevalence and the association between the consumption of carbonated beverages and dental erosion were analysed. The findings indicate that almost 4 out of 10 adolescents present signs of erosive tooth wear. However, prevalence rates vary across countries because of cultural differences and the age range of study participants; older adolescents tend to have higher prevalence rates, likely because of prolonged exposure, a greater number of affected teeth, and more severe lesions.16,46 Previous studies have also indicated that male adolescents are at higher risk, potentially because they had a higher level of soft drinks and cola ingestion than girls, and a greater frequency of acidic drink consumption linked to sports and recreational activities.19,31,36 In the present analysis, this relationship resulted controversial while some studies point it out,19,24,34,35,36,40 others do not20,23,26,27,31,33 and even point out that there is greater erosion in adolescent women37; although we could not make the analysis by gender because primary studies do not present stratified results.
The current findings align with those reported by Li27 and Marschner,32 who showed that erosive lesions were not only associated with carbonated beverages but also with digestive disorders, regurgitation, vitamin C intake, and the consumption of acidic foods such as sauces. The erosive potential of carbonated drinks is primarily attributed to their low pH (typically between 2.3 and 3.5), which is far below the critical threshold of 5.5 for enamel demineralisation. This acidity is exacerbated by the presence of phosphoric, citric, and carbonic acids, which promote the dissolution of hydroxyapatite, leading to progressive enamel softening and increased surface roughness. Additionally, these beverages often exhibit high titratable acidity, which prolongs the time required for the salivary pH to return to neutral, further increasing the risk of mineral loss.10,21
The difference between the previous analysis of Salas et al43 and Li et al27 is that the present review focused specifically on carbonated beverages, given their high consumption among adolescents. International data have reported that 16% of adolescents drink carbonated beverages daily, with higher intake associated with lower socioeconomic status.33 Another study suggests that more than half of adolescents aged 12 to 15 in low- and middle-income countries consume these beverages at least once daily.21 A global analysis further supported this finding, indicating a 43% daily consumption rate among youth aged 12 to 17. Other erosive beverages commonly preferred by adolescents include energy drinks and citrus-based juices.32,53 Therefore, this analysis highlights the effects on dental tissues of these dietary patterns. Moreover, soft drink intake has also been linked to an increased risk of several medical conditions.51
Several behavioural and environmental factors modulate the erosive impact of these beverages. Marro et al described a ‘school environment halo effect’ that influences dietary habits. The erosive risk increases significantly when acidic drinks are consumed at night or sipped slowly and retained in the mouth.31 These habits are common in adolescents, especially post-exercise, when salivary flow is reduced, and buffering capacity is compromised. Salivary factors, along with protective dietary elements such as dairy products, play a key role in modulating erosion. Saliva contributes to pH regulation and enamel remineralisation.41 Gonzalez et al reported a correlation between dental erosion and xerostomia.16
The pattern and severity of erosion are influenced by the frequency and volume of beverage intake, as well as individual protective factors like consumption of milk-based drinks.29 The manner of drinking (savouring vs swallowing) also affects the degree of damage. Bardolia et al emphasised that frequent and prolonged exposure to acidic beverages causes repeated episodes of low pH, contributing to progressive enamel wear.6 Chan reported that the most consistent findings indicate the erosive potential of carbonated beverages and the consumption of acidic drinks at bedtime.7
Clinically, dental erosion leads to dentin hypersensitivity, masticatory discomfort, and increased susceptibility to fractures, potentially resulting in early tooth loss. Erosive lesions caused by carbonated beverages are most frequently observed on the occlusal surfaces of posterior teeth and the palatal surfaces of maxillary and mandibular central incisors. These findings highlight the need for targeted preventive strategies emphasising the reduction of acidic beverage consumption in schools and youth settings. Health professionals should promote awareness of the risks posed by acidic drinks and advocate for early detection and the consumption of water and protective foods such as milk, cheese, and yoghurt, which provide calcium and phosphate. Preventive interventions such as topical fluorides, CPP-ACP complexes, and calcium-fortified beverages are also recommended.8,15,20
Samman’s cluster analysis underscored the complexity of beverage consumption behaviours, demonstrating that individuals do not consume beverages in isolation throughout their daily routines. Beverages should therefore be considered collectively, as they may exert complementary or antagonistic effects. In the case of diet drinks, several potential health risks have been reported, including systemic conditions such as dementia, diabetes, vascular and metabolic diseases, and stroke.44
Variability in the operational definitions of exposure to carbonated beverages across studies was a major contributor to methodological heterogeneity. Whereas some investigations estimated risk based on consumption frequency, others used measures of daily intake volume. This inconsistency in exposure assessment limited comparability across studies and constrained quantitative data synthesis, resulting in only 25% of eligible studies meeting the homogeneity criteria for inclusion in the meta-analysis of the association. In addition, considerable heterogeneity was observed in the meta-analysis (I2 = 80%), indicating substantial between-study variability beyond that expected by chance. Accordingly, the pooled effect estimate should be interpreted with caution, as it may be influenced by differences in study design, population characteristics, exposure definitions, and outcome assessment methods.
This study has several limitations, such as the fact that most of the included studies were cross-sectional in design and relied on self-report questionnaires. This introduces potential recall bias and may lead to the overestimation of associations. Sample size was another methodological issue; small samples reduce statistical power, whereas very large samples can yield statistically significant but clinically irrelevant results. Additionally, compared with cohort studies, cross-sectional studies are more likely to reveal significant associations because of their lack of temporal sequencing, potentially leading to overestimation.4,39,45 The asymmetry observed in the funnel plot should be interpreted with caution, as it does not constitute definitive evidence of publication bias. Although publication bias is a recognised explanation, such asymmetry may also stem from alternative sources, including methodological variations.11
Dental erosion is clearly a multifactorial disease, and further investigation into the relative contribution of associated factors, such as taste preferences linked to a higher intake of carbonated beverages. Nevertheless, the clear correlations observed in the present study provide evidence supporting dietary interventions as a key component in the development of preventive strategies for dental erosion.
Given the limited number of studies included in the meta-analysis, the results should be interpreted cautiously. Future research should employ longitudinal designs, standardised diagnostic criteria, and validated questionnaires to provide stronger evidence regarding the association between carbonated beverage consumption and dental erosion.
CONCLUSION
Erosive tooth wear affects 37% of adolescents and represents a growing public health concern. Frequent consumption of carbonated beverages, particularly more than once daily, has been consistently identified as a risk factor. Accordingly, adolescent health promotion strategies should prioritise reducing the intake of these kinds of drinks.
Acknowledgements
Support
This research was supported by Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México (DGAPA-UNAM) (PAPIME PE 201525).
Conflict of interest
The authors declare no conflict of interest.
Data availability
The data presented in this study are available on request from the corresponding author.
REFERENCES
References
- Al-Dlaigan YH, Shaw L, Smith A. Dental erosion in a group of British 14-year-old school children. Part II: influence of dietary intake. Br Dent J. 2001;190:258–261. doi: 10.1038/sj.bdj.4800943. [DOI] [PubMed] [Google Scholar]
- Al-Hadi AA, Zawaideh FI, Al-Hadithy RT. Risk indicators associated with dental erosion among Jordanian school children aged 12–14 years of age. Int J Paediatr Dent. 2013;24:56–58. doi: 10.1111/ipd.12026. [DOI] [PubMed] [Google Scholar]
- Al-Majed I, Maguire A, Murray J. Risk factors for dental erosion in 5–6 year old and 12–14 year old boys in Saudi Arabia. Comm Dent Oral Epidemiol. 2002;30:38–46. doi: 10.1034/j.1600-0528.2002.300106.x. [DOI] [PubMed] [Google Scholar]
- Althubaiti A. Information bias in health research: definition, pitfalls, and adjustment methods. J Multidiscip Healthc. 2016;9:211–217. doi: 10.2147/JMDH.S104807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Árnadóttir IB, Saemundsson SR, Holbrook PW. Dental erosion in Icelandic teenagers in relation to dietary and lifestyle factors. Acta Odontol Scand. 2003;61:25–28. doi: 10.1080/ode.61.1.25.28. [DOI] [PubMed] [Google Scholar]
- Bardolia P, Burnside G, Ashcroft A, Milosevic A, Goodfellow S, Rolfe E, et al. Prevalence and risk indicators of erosion in thirteen- to fourteen-year-olds on the Isle of Man. Caries Res. 2010;44:165–168. [DOI] [PubMed]
- Chan AS, Tran TTK, Hsu YH, Liu SYS, Kroon J. A systematic review of dietary acids and habits on dental erosion in adolescents. Int J Paediatr Dent. 2020;30:713–733. doi: 10.1111/ipd.12643. [DOI] [PubMed] [Google Scholar]
- Chatzidimitriou K, Seremidi K, Kloukos D, Gizani S, Papaioannou W. The role of calcium in the prevention of erosive tooth wear: a systematic review and meta-analysis. Evid Based Dent. 2024;25:55. doi: 10.1038/s41432-023-00966-5. [DOI] [PubMed] [Google Scholar]
- Chrysanthakopoulos NA. Prevalence of tooth erosion and associated factors in 13-16-year old adolescents in Greece. J Clin Exp Dent. 2012;4:160–166. doi: 10.4317/jced.50802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dabas D, Patil AK, Uppin V, Jaiswal JN. In vitro evaluation of soft drinks containing calcium glycerophosphate and casein phosphopeptide-amorphous calcium phosphate on enamel microhardness. Ann Pediat Health Develop. 2018;16:17–22. [Google Scholar]
- Doleman B, Freeman SC, Lund JN, Williams JP, Sutton AJ. Funnel plots may show asymmetry in the absence of publication bias with continuous outcomes dependent on baseline risk: presentation of a new publication bias test. Res Synth Methods. 2020;11:522–534. doi: 10.1002/jrsm.1414. [DOI] [PubMed] [Google Scholar]
- Eccles JD. Dental erosion of non-industrial origin. A clinical survey and classification. J Prosthet Dent. 1979;42:649–653. doi: 10.1016/0022-3913(79)90196-3. [DOI] [PubMed] [Google Scholar]
- El Aidi H, Bronkhorst M, Huysmans M, Truin G. Factors associated with the incidence of erosive wear in upper incisors and lower first molars: a multifactorial approach. J Dent 39:558–563. [DOI] [PubMed]
- Ganss C, Lussi A. Diagnosis of erosive tooth wear. Monogr Oral Sci. 2014;25:22–31. doi: 10.1159/000359935. [DOI] [PubMed] [Google Scholar]
- Gianni Giannini M, Martignon S, Gonzalez-Cabezas C, Reis A. Evidence-based recommendations on the diagnosis and management of dental erosion. J Dent. 2018;71:1–12. [Google Scholar]
- González Aragón Pineda E, Borges Yáñez A, Lussi A, Irigoyen Camacho E, Angeles Medina F. Prevalence of erosive tooth wear and associated factors in a group of Mexican adolescents. J Am Dent Assoc. 2016;147:92–97. doi: 10.1016/j.adaj.2015.07.016. [DOI] [PubMed] [Google Scholar]
- González-Aragón Pineda AE, García-Pérez A, Gómez-Clavel JF. Caries experience in adolescents 13–14 years with and without erosive tooth wear: a case-control study. J Clin Pediatr Dent. 2022;46:31–37. doi: 10.22514/jocpd.2022.004. [DOI] [PubMed] [Google Scholar]
- Harlukowicz K, Kackmarek Prevalence and determinants of extrinsic origin dental erosion among children and adolescents from Wrocław. Dent Med Probl. 2017;54:361–367. [Google Scholar]
- Hasselkvist A, Johansson A, Johansson AK. Association between soft drink consumption, oral health and some lifestyle factors in Swedish adolescents. Acta Odontol Scan. 2014;72:1039–1046. doi: 10.3109/00016357.2014.946964. [DOI] [PubMed] [Google Scholar]
- Imren E, Güven Y. Therapeutic and protective effects of light-cured varnishes on erosive lesions: an in vitro study. BMC Oral Health. 2025;25:555. doi: 10.1186/s12903-025-05968-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Inchingolo AM, Malcangi G, Ferrante L, Del Vecchio G, Viapiano F, Mancini A, et al. Damage from carbonated soft drinks on enamel: a systematic review. Nutrients. 2023;6;15:1785. [DOI] [PMC free article] [PubMed]
- Jász M, Szőke J. Dental erosion and its relation to potential influencing factors among 12-year-old Hungarian schoolchildren. Oral Health Prev Dent 2022; 14;20:95–102. doi: 10.3290/j.ohpd.b2805391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johansson AK, Omar R, Carlsson GE, Johansson A. Dental erosion and its growing importance in clinical practice: from past to present. Int J Dent. 2012;2012:632907. doi: 10.1155/2012/632907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kirthiga M, Poornima P, Praveen R, Sakeena B, Disha P. Dental erosion and its associated factors in 11–16-year-old school children. J Clin Pediatr Dent. 2015;39:336–342. doi: 10.17796/1053-4628-39.4.336. [DOI] [PubMed] [Google Scholar]
- Korkmaz E, Kaptan A. Cross-sectional analysis of prevalence and aetiological factors of dental erosion in Turkish children aged 7–14 years. Oral Health Prev Dent 2020;27;18:959–971. [DOI] [PMC free article] [PubMed]
- Kumar S, Acharya S, Mishra P, Debnath N, Vasthare R. Prevalence and risk factors for dental erosion among 11- to 14-year-old school children in South India. J Oral Sci. 2013;55:329–336. doi: 10.2334/josnusd.55.329. [DOI] [PubMed] [Google Scholar]
- Li H, Zou Y, Ding G. Dietary factors associated with dental erosion: a meta-analysis. PLoS One. 2012;7:e42626. doi: 10.1371/journal.pone.0042626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lussi A. Dental erosion: from diagnosis to therapy. Monogr Oral Sci. 2000;14:1–99. [Google Scholar]
- Lussi A. Jaeggl T, Zero D. The role of diet in the aetiology of dental erosion. Caries Res 2004;38 (Suppl):34–44. [DOI] [PubMed]
- Lussi A, Ganss C. Erosive tooth wear: a multifactorial condition of growing concern and increasing knowledge. Monogr Oral Sci. 2008;20:1–8. doi: 10.1159/000093343. [DOI] [PubMed] [Google Scholar]
- Marro F, Jacquet W, Bottenberg P, Martens L. The influence of behavioural and sociodemographic risk indicators on erosive tooth wear in Flemish adolescents, Belgium Caries Res 2018;52:119–128. [DOI] [PubMed]
- Marschner F, Kanzow P, Wiegand A. Anamnestic risk factors for erosive tooth wear: systematic review, mapping, and meta-analysis. J Dent. 2024;144:104962. doi: 10.1016/j.jdent.2024.104962. [DOI] [PubMed] [Google Scholar]
- Mensink GBM, Schienkiewitz A, Rabenberg M, Borrmann A, Richter A, Haftenberger M. Consumption of sugary soft drinks among children and adolescents in Germany. Results of the cross-sectional KiGGS wave 2 study and trends. J Health Monit. 2018;3:31–37. doi: 10.17886/RKI-GBE-2018-024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Milosevic A, Bardsley P, Taylor S. Epidemiological studies of tooth wear and dental erosion in 14-year old children in North West England. Part 2: The association of diet and habits. Br Dent J. 2004;197:479–483. doi: 10.1038/sj.bdj.4811747. [DOI] [PubMed] [Google Scholar]
- Newcastle Lo CK, Mertz D, Loeb M Newcastle-Ottawa scale (NOS) comparing reviewers to authors assessment. BMC Med Res Methodol 2014;14:45. [DOI] [PMC free article] [PubMed]
- Okunseri C, Okunseri E, González C, Visorcky A, Szabo A. Erosive tooth wear and consumption of beverages among children in the United States. Caries Res. 2011;45:130–135. doi: 10.1159/000324109. [DOI] [PubMed] [Google Scholar]
- O’Sullivan EA. A new index for the measurement of erosion in children. Eur J Paediatr Dent. 2000;1:69–74. [Google Scholar]
- Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. [DOI] [PMC free article] [PubMed]
- Pérez-Guerrero EE, Guillén-Medina MR, Márquez-Sandoval F, Vera-Cruz JM, Gallegos-Arreola MP, Rico-Méndez MA, et al. Methodological and statistical considerations for cross-sectional, case-control, and cohort studies. J Clin Med. 2024;13:4005. doi: 10.3390/jcm13144005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Provatenou E, Kaklamanos EG, Kevrekidou A, Kosma I, Kotsanos N. Erosive tooth wear and related risk factors in 8- and 14-year-old Greek children. Caries Res. 2016;50:349–362. doi: 10.1159/000445980. [DOI] [PubMed] [Google Scholar]
- Rabelo Buzalaf MA, Reis Hannas A, Thiemi Kato M. Saliva and dental erosion. J Appl Oral Sci. 2012;20:493–502. doi: 10.1590/S1678-77572012000500001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Review Manager (RevMan) [Computer program]. The Cochrane Collaboration; 2024. Available at: https://revman.cochrane.org
- Salas M, Nascimento G, Vargas Ferreira F, Tarquinio S, Huysmans M, Demarco F. Diet influenced tooth erosion prevalence in children and adolescents: results of a meta-analysis and meta-regression. J Dent. 2015;43:865–875. doi: 10.1016/j.jdent.2015.05.012. [DOI] [PubMed] [Google Scholar]
- Samman M, Kaye E, Cabral H, Scott T, Sohn W. Dental erosion: effect of diet drink consumption on permanent dentition. JDR Clin Trans Res. 2022;7:425–434. doi: 10.1177/23800844211048478. [DOI] [PubMed] [Google Scholar]
- Sedgwick P. Cross sectional studies: advantages and disadvantages. BMJ 2014;26;348:g2276. [DOI] [PubMed]
- Shahbaz U, Quadir F, Hosein T. Determination of prevalence of dental erosion in 12–14 years school children and its relationship with dietary habits. J Coll Physicians Surg Pak. 2016;26:553–556. [PubMed] [Google Scholar]
- Skalsky Jarkander M, Grindefjord M, Carlstedt K. Dental erosion, prevalence and risk factors among a group of adolescents in Stockholm County. Eur Arch Paediatr Dent. 2018;19:23–31. doi: 10.1007/s40368-017-0317-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Simangwa L, Åstrøm A, Johansson A, Minja I. Oral diseases and oral health related behaviors in adolescents living in Maasai population areas of Tanzania: a cross-sectional study. BMC Pediatrics. 2019;19:275. doi: 10.1186/s12887-019-1655-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smith BG, Knight JK. An index for measuring the wear of teeth. Br Dent J. 1984;156:435–438. doi: 10.1038/sj.bdj.4805394. [DOI] [PubMed] [Google Scholar]
- Sosa Puente C, Solis Soto J, Cruz-Fierro N, López-Villarreal S, Nakagoshi-Cepeda S. Dental erosion: causes, diagnostics and treatment. J Oral Res. 2014;3:257–261. [Google Scholar]
- Vartanian LR, Schwartz MB, Brownell KD. Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health. 2007;97:667–675. doi: 10.2105/AJPH.2005.083782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vieira Pedrosa BR, de Menezes VA. Prevalence of erosive tooth wear and related risk factors in adolescents: an integrative review. J Dent Child (Chic) 2020;87:18–25. [PubMed] [Google Scholar]
- Wang P, Cain Lin H, Hong Chen J, You Liang H. The prevalence of dental erosion and associated risk factors in 12-13-year-old school children in Southern China. BMC Public Health. 2010;10:478. doi: 10.1186/1471-2458-10-478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Waterhouse PJ, Auad SM, Nunn JH, Steen IN, Moynihan PJ. Diet and dental erosion in young people in south-east Brazil. Int J Paediatr Dent. 2008;18:353–360. doi: 10.1111/j.1365-263X.2008.00919.x. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.




