Abstract
This cross-sectional study aimed to evaluate the association between the degree of depression, anxiety, and stress and oral health-related quality of life (OHRQoL) of adolescents aged 11 to 19 years from Santa Maria, Brazil. The Child Perception Questionnaire (CPQ 11-14) was used to evaluate OHRQoL. The degree of anxiety, depression, and stress was assessed using the Depression, Anxiety and Stress Scale – Short Form (DASS-21). Additionally, sociodemographic, clinical, and psychosocial variables were considered. Adjusted Poisson regression models were applied to examine the associations between predictive variables and overall CPQ11-14 scores. Results are reported as rate ratio (RR) and 95% confidence intervals (95% CI). A total of 164 adolescents were evaluated. The mean DASS-21 scores for depression, anxiety, and stress were 6.9 (standard deviation [SD] 9.0), 8.7 (SD 8.9), and 11.9 (SD 9.7), respectively. The mean CPQ 11-14 score was 12.2 (SD 10.3). Adolescents with high levels of depression (RR = 1.03; 95%CI: 1.02–1.05) and stress (RR = 1.02; 95%CI: 1.01–1.04) presented higher CPQ 11-14 scores, indicating a significant impact of those symptoms on OHRQoL. In conclusion, adolescents with high depression and stress scores experienced poorer OHRQoL, highlighting the need for integrated mental health and oral health interventions to improve their overall well-being.
Descriptors: Depression, Anxiety, Adolescent, Oral Health
Introduction
Adolescence is a critical period of transition from childhood to adulthood, marked by the pursuit of autonomy and by biological, behavioral, and psychosocial changes. 1,2 Due to these changes, emotional disorders such as anxiety and depression are known to be increasingly present in this age group. 3 According to the World Health Organization (WHO), around 14% of adolescents (between 10 and 19 years of age) have some mental disorder, but the majority of these are undiagnosed or undertreated. 4 The behavioral and social changes that occur during this transition also contribute to changes in oral health.
Some studies have shown that oral injuries such as tooth decay and periodontal disease can affect well-being and consequently cause mental disorders, dental fear, and greater resistance during the clinical procedure, which lead to poorer oral conditions. 5-9 Mental health conditions such as depression, anxiety, and stress can influence adolescents’ behaviors, including oral hygiene and their willingness to seek dental care. 5-9 These psychological factors may contribute to a poorer oral health-related quality of life (OHRQoL). 5-9 OHRQoL is a multidimensional construct used to measure the impact of oral conditions on daily activities and well-being of individuals. 10 It includes aspects such as pain, functional limitations, self-esteem, and the impact of oral health on social interactions. 10 Thus, anxiety, stress, and depression can significantly impact innumerable aspects of adolescents’ lives and their overall well-being, 11-15 including OHRQoL.
Previous literature has shown the association between anxiety and depression and general quality of life considering other health areas. 13-15 . No previous study has specifically evaluated the association between depression, anxiety, and stress levels and OHRQoL in adolescents, highlighting the relevance of our research. Understanding this association is essential for clinicians as it highlights the need for an integrated approach to adolescent healthcare. Early identification of psychological distress could help dentists and other healthcare providers implement preventive strategies, improve adherence to oral health treatments, and enhance overall well-being. Interdisciplinary interventions that address both mental and oral health could lead to more effective and comprehensive care for adolescents.
Understanding this association is particularly relevant during adolescence, a phase marked by significant biopsychosocial changes and considerable emotional and behavioral instability. This study aimed to evaluate the association between depression, anxiety, and stress and OHRQoL of adolescents. Our conceptual hypothesis is that adolescents with higher levels of anxiety, stress, and depression are more likely to experience poorer OHRQoL.
Methods
Ethical considerations
This study was approved by the Human Research Ethics Committee of the Federal University of Santa Maria (UFSM) (process No. 0144.0.243.000-10). All parents or guardians of the participants signed the Free and Informed Consent Form and the adolescents signed the Assent Form. Since data collection was conducted at the institution’s Adolescent Clinic, an official authorization from the institution was obtained as part of the Ethics Committee’s approval process.
Study design and sample
This cross-sectional study was conducted with a convenience sample of adolescents aged 11 to 19 years who received treatment at the Adolescent Clinic of UFSM between August 2016 and December 2019. The clinic is located in Santa Maria, southern Brazil, and provides free multidisciplinary dental care to patients from the city and surrounding areas, serving an average of 50 adolescents per year. Treatments are performed by undergraduate students in their final years of training under the supervision of postgraduate students and faculty members. All participants attended public schools in the region and came from low-income families.
Adolescents who sought evaluation or dental care were assisted and included in the research. Patients who had any diagnosed physical or psychological limitations were excluded. A post-hoc power analysis was conducted using G*Power software based on the following parameters: a significance level of 0.05, an effect size of 0.3 (considered a medium effect), a sample size of 164 participants, and a regression model with 8 predictors. The results indicated that the study had a power of 100% to detect differences, suggesting that the sample size was adequate to identify meaningful effects.
Oral Health-Related Quality of Life
To assess the OHRQoL of participants, we administered the Brazilian short version of the Child Perceptions Questionnaire for 11- to 14-year-olds (CPQ11-14) through face-to-face interviews conducted by trained interviewers prior to dental treatment. 16,17 This questionnaire has 16 items that evaluate the frequency of events related to oral conditions and is divided into four domains: oral symptoms, functional limitations, emotional well-being, and social well-being. Response options are scored as follows: “Never” = 0; “Once or twice” = 1; “Sometimes” = 2; “Often” = 3; and “Every day/almost every day” = 4. The overall score is obtained by summing the individual item scores, ranging from 0 to 64, where higher scores indicate a greater negative impact of oral conditions on OHRQoL. 18
Depression, anxiety, and stress
Our main predictors, depression, anxiety and stress, were assessed with the Depression, Anxiety and Stress Scale – Short Form (DASS-21), developed by Lovibond and Lovibond 12 to measure and differentiate the symptoms of anxiety, depression and stress as much as possible. The version used in this study was an adaptation of the version for Brazilian adults by Machado and Bandeira. 19 Similar to the CPQ11-14, the DASS-21 was administered before dental care by trained interviewers. This instrument consists of 21 questions equally subdivided into 3 factors across 3 scales - depression, anxiety, and stress. Answers range from 0 to 3: “Not applied at all” = 0, “Applied to some degree, or for a short time” = 1, “Applied to a considerable degree, or for a good part of the time” = 2, and “Applied a lot, or most of the time” = 3. Scores for depression, anxiety, and stress are calculated by summing the scores for the corresponding items and multiplying by 2 to calculate the final score. The higher the score for each scale, the greater the severity of the respective factor.
Confounders variables
Adolescents also completed a structured questionnaire addressing sociodemographic and psychosocial characteristics. Information regarding sex (“girls” and “boys”) and household family income was collected. Household income, recorded in Brazilian real (with an exchange rate of approximately 5.44 reals to 1 US dollar), encompassed the total income of all household members—including salaries, Bolsa Família benefits, pensions, retirements, and other income sources—and was used as a continuous quantitative variable in the statistical analysis. Psychosocial variables included self-perceived need for dental treatment (“yes” or “no”) and dental fear. To assess dental fear, adolescents rated their level of fear regarding dental visits using the following options: “Not at all” = 0, “A little” = 1, and “A lot” = 2.
Regarding oral health status, two characteristics were considered –toothache and dental caries. Toothache was assessed considering the last six months with the following answer options: “No” = 0, “Yes” = 1, and “I don’t remember” = 2. Dental caries was assessed through visual inspection with the aid of a flat dental mirror and periodontal probes (CPI; “ball point”), using the International Caries and Detection Assessment System (ICDAS). 20 Clinical examinations were carried out in dental chairs with the aid of artificial light after dental prophylaxis by previously trained and supervised examiners. For statistical analysis, surfaces were categorized into carious (scores 1, 2, 3, 4, 5, and 6) and non-carious surfaces (score 0).
Statistical analysis
Data analysis was conducted with STATA 14.0 (Stata Corporation, College Station, USA). A descriptive analysis of general sample characteristics was performed. The outcome of the study was overall CPQ11-14 scores. Pearson correlation was performed to assess the relationships between anxiety, stress, and depression. Additionally, the variance inflation factor (VIF) was calculated to check for multicollinearity. VIF values greater than 10 suggest significant multicollinearity, which could affect the validity of the regression coefficients.
Adjusted Poisson regression models were used to evaluate the relationship of anxiety, depression, and stress with OHRQoL. Confounding variables were selected based on the theoretical framework of the model, acknowledging that psychosocial factors are influenced by the broader structural and contextual conditions in which they are embedded. 21 To support the identification of true confounders, we constructed a DAG (Figure), which served as the basis for the inclusion of variables in the multivariable models. All variables with a p-value < 0.20 in the unadjusted analysis were retained in the adjusted model, which was developed using a stepwise forward approach. We assessed the adequacy of the Poisson model by testing for overdispersion through the deviance-to-degrees-of-freedom ratio. As the ratio was below the conventional threshold (1.35), the assumption of equidispersion was accepted. Nevertheless, we also conducted sensitivity analyses using negative binomial regression models, which yielded similar estimates, confirming the robustness of our findings. The results are presented as rate ratios (RR) with corresponding 95% confidence intervals (CIs). Variables with p-values < 0.05 in the final model were considered statistically significant.
Figure 1. Directed acyclic graph (DAG) with a conceptual representation among the relationship DASS, OHRQoL and possible confounders factors.
DASS, Depression, Anxiety and Stress Scale - 21 Items; OHRQoL, oral health-related quality of life; (⏵) Main predictor; (▎) Outcome; ⬭ Possible confounders.
Results
A total of 164 adolescents were included in the study. As shown in Table 1, the participants were equally divided between boys and girls (50%) and reported an average monthly family income of R$1,845.00 [standard deviation (SD) 1,225.00]. Among the respondents, 48.1% reported having had toothache and 7.8% perceived the need for dental treatment. In addition, 47.8% of adolescents reported feeling at least a little fear of visiting the dentist, while 95.1% had dental caries. Regarding the psychosocial questionnaires, participants had an average score of 6.9 (SD 9.0), 8.7 (SD 8.9), and 11.9 (SD 9.7) for the depression, anxiety, and stress DASS scales, respectively, and a mean CPQ11-14 score of 12.2 (SD 10.3).
Table 1. Sociodemographic characteristics and oral health measures of evaluated adolescents (n = 164).
| Variables | n (%) | Total |
|---|---|---|
| Sex | 164 | |
| Girls | 82 (50.0) | |
| Boys | 82 (50.0) | |
| Toothache | 52 | |
| No | 25 (48.1) | |
| Yes | 27 (51.9) | |
| Self-perception of need for dental treatment | 51 | |
| No | 47 (92.2) | |
| Yes | 4 (7.8) | |
| Dental fear | 44 | |
| None | 23 (52.2) | |
| A little bit | 16 (36.4) | |
| A lot | 5 (11.4) | |
| Dental caries | 123 | |
| Without | 6 (4.9) | |
| With | 117 (95.1) | |
| Mean (SDa) | Total | |
| DASS-depression | 6.90 (9.00) | 164 |
| DASS-anxiety | 8.73 (8.92) | 164 |
| DASS-stress | 11.95 (9.75) | 164 |
| Household income | 1845 (1225) | 128 |
| OHRQoL (overall CPQ11-14 score) | 12.16 (10.31) | 164 |
aStandard deviation, SD; *Values less than 164 are due to missing data; DASS: Depression, Anxiety and Stress Scale OHRQoL: oral health-related quality of life.
Table 2 shows the results of the unadjusted analysis. All evaluated factors were significantly associated with CPQ11-14 scores (p < 0.05). Male individuals had CPQ11-14 scores 19% lower than their counterparts. Individuals from families with higher monthly incomes presented lower CPQ11-14 scores. In addition, adolescents who reported having experienced a toothache and perceived the need for dental treatment had CPQ11-14 scores 54% and 38% higher, indicating poorer OHRQo. Furthermore, participants who reported fear of going to the dentist presented OHRQoL scores 2.63 times higher than those without dental fear. Regarding the depression, anxiety, and stress scales, adolescents with higher scores on the DASS had a 3 to 4% higher prevalence of poorer OHRQoL.
Table 2. Unadjusted analysis of the association between predictive variables and OHRQoL using Poisson Regression analysis.
| Variables | Unadjusted | p-value |
|---|---|---|
| RRa (95%CIb) | ||
| Sex | < 0.01 | |
| Girls | 1 | |
| Boys | 0.81 (0.74–0.88) | |
| Household income | 0.99 (0.99–0.99) | < 0.01 |
| Toothache | < 0.01 | |
| No | 1 | |
| Yes | 1.54 (1.33–1.78) | |
| Self-perception of need for dental treatment | < 0.05 | |
| No | 1 | |
| Yes | 1.38 (1.02–1.87) | |
| Dental fear | < 0.01 | |
| None | 1 | |
| A little bit | 1.41 (1.18–1.68) | |
| A lot | 2.63 (2.15–3.23) | |
| DASS-depression | 1.04 (1.03–1.04) | < 0.01 |
| DASS-anxiety | 1.04 (1.03–1.04) | < 0.01 |
| DASS-stress | 1.03 (1.02–1.03) | < 0.01 |
PR: Rate ratio; CI: confidence interval; DASS: Depression, Anxiety and Stress Scale; OHRQoL: oral health-related quality of life.
The adjusted analysis between predictors and OHRQoL is shown in Table 3. Adolescents with higher scores on the depression and stress DASS scales exhibited 3% (RR = 1.03; 95%CI: 1.02–1.05) and 2% (RR = 1.02; 95%CI: 1.01–1.04) higher scores in CPQ11-14, indicating poorer OHRQoL. Adolescents who reported mild and severe fear of going to the dentist also presented poorer OHRQoL, with overall CPQ11-14 scores of 79% (RR = 1.79 95%CI: 1.38–2.33) and 70% (RR = 1.70 95%CI: 1.26–2.30) higher, respectively, than those without fear.
Table 3. Adjusted analysis of the association between predictive variables and OHRQoL determined by Poisson Regression analysis.
| Variables | Adjusted | p-value |
|---|---|---|
| RRa (95%CIb) | ||
| Sex | 0.12 | |
| Girls | 1 | |
| Boys | 0.84 (0.68–1.04) | |
| Household income | 0.99 (0.99–1.01) | 0.23 |
| Toothache | 0.82 | |
| No | 1 | |
| Yes | 1.03 (0.79–1.34) | |
| Self-perception of need for dental treatment | 0.32 | |
| No | 1 | |
| Yes | 1.26 (0.79–2.01) | |
| Dental fear | < 0.01 | |
| None | 1 | |
| A little bit | 1.79 (1.38–2.33) | |
| A lot | 1.70 (1.26–2.30) | |
| DASS-depression | 1.03 (1.02–1.05) | < 0.01 |
| DASS-anxiety | 0.98 (0.96–1.01) | 0.27 |
| DASS-stress | 1.02 (1.01–1.04) | < 0.05 |
PR: Rate ratio; CI: Confidence interval; DASS: Depression, Anxiety and Stress Scale; OHRQoL: oral health-related quality of life.
Correlation analysis showed that anxiety, depression, and stress were significantly correlated (p < 0.05). However, the collinearity test showed VIF values ranging from 2 to 3, indicating no multicollinearity in the model.
Discussion
This study aimed to evaluate the association between depression, anxiety, and stress levels and the OHRQoL of adolescents. To the best of our knowledge, this is the first study to investigate these associations in this population. Our findings partially confirmed the initial hypothesis, as higher levels of depression and stress, as measured by the DASS scale, were associated with poorer OHRQoL. However, anxiety did not show a significant association with OHRQoL in this group. These results highlight the need for further research on psychosocial factors of adolescence, as they play a fundamental role in this critical developmental stage and may have lasting effects on overall health and well-being in adulthood.
The association between depression and poorer OHRQoL observed in this study is consistent with previous research across different age groups. 22-24 This relationship may be explained by the well-documented link between low self-esteem and depression, 25,26 which often intensifies concerns about physical appearance, including dental aesthetics. Feelings of shame regarding oral health are common in adolescents experiencing depression and are frequently accompanied by inferiority complexes. These emotions can negatively impact social interactions, undermining self-confidence and leading to social withdrawal. 27 Additionally, the pervasive influence of social media during adolescence intensifies self-comparison, further lowering self-esteem. 28 Collectively, these factors contribute to a decline in OHRQoL among adolescents.
Similar to depression, stress was significantly associated with poorer OHRQoL in our study. It is widely known that stress promotes unhealthy habits that can negatively impact oral health, ultimately leading to declines in both overall quality of life and OHRQoL. 29 During stressful periods, individuals often turn to comfort foods, which are typically high in sugar and refined carbohydrates, 30 increasing the risk of dental caries. 31 Additionally, stress can trigger other maladaptive coping mechanisms, such as excessive alcohol consumption and smoking, both of which are well-established risk factors for periodontitis and oral cancer. 32 Another notable consequence of stress is bruxism, a condition that can lead to tooth wear, jaw pain, and temporomandibular dysfunction (TMD). 33 Previous studies have consistently demonstrated that bruxism negatively affects OHRQoL. 34
In contrast to depression and stress, the association between anxiety and OHRQoL was not maintained in the adjusted analysis. It is important to emphasize that anxiety may be strongly correlated with behaviors like binge eating, which may lead to the consumption of high-carbohydrate and high-sugar foods, potentially impacting oral health. 35 However, the effects of anxiety on OHRQoL may be less pronounced compared with other mental health variables in our sample. This may be due to the distinct nature of the complex psychosocial variables considered. Stress is often associated with unhealthy coping mechanisms such as poor dietary choices, smoking, and neglect of self-care, all of which can negatively affect perceived oral health. 29-34 Depression is also often linked to lack of motivation and self-care, which may contribute to a decline in OHRQoL. 25,28 These findings highlight the importance of considering the complex interplay of different psychological factors when assessing their impact on oral health. Future research should explore these relationships in more detail.
Our findings also indicate that fear of visiting the dentist is often mistaken for the anxiety, depression, and stress levels assessed with the questionnaire. Dental fear and anxiety, particularly before appointments, are common among children and adolescents and have long been a challenge for professionals. 36 In our study, fear of visiting the dentist was associated with poorer OHRQoL, reinforcing its impact on oral health perception. This result is consistent with a previous study conducted in Finland with children aged 11 to 14 years, which highlighted the negative effects of dental fear on OHRQoL, particularly in emotional and social well-being. The authors suggest that fear of dental procedures may lead individuals to feel inferior to their peers or ashamed of their inability to cope with treatment. 37 As a result, this can diminish self-confidence and self-esteem, further impairing OHRQoL.
Several limitations of this study should be acknowledged. First, its cross-sectional design limits causal inferences regarding the findings. However, it is important to highlight that no previous study has explored the relationship between depression, anxiety, stress, and OHRQoL in adolescents. Therefore, we recommend that future research adopt longitudinal designs to provide a deeper understanding of how these psychosocial factors influence individuals’ quality of life over time. Additionally, this study relied on a convenience sample, which may lead to selection bias and reduced representativeness of the target population. This sampling approach was chosen due to the accessibility and willingness of the adolescents to participate in the study. As our sample was restricted to individuals who attended a dental clinic, the findings may not be generalizable to those who do not seek dental services, which may lead to an underestimation of the association between mental disorders and barriers to dental care. Another limitation of this study is that medication use was not assessed. The use of medications, particularly those for managing stress, anxiety, and depression, could be an important confounding factor influencing the relationship between psychological factors and OHRQoL. While we recognize the study limitations, we believe that this approach allowed specific questions to be explored and contributed to a more comprehensive understanding of adolescents oral health needs. Nonetheless, future studies should consider a more representative sample and other confounding factors.
Our study has several strengths. First, the DASS-21 scale was used because it has a well-established adaptation and validation, making it a reliable tool for assessing and clearly measuring symptoms of depression, anxiety, and stress 12 . This scale has demonstrated strong stability and has been translated and validated for various age groups and across different countries, 38 ensuring its broad applicability. Additionally, the CPQ11-14 was used to evaluate the OHRQoL, which further reinforces the study’s focus on the adolescent population. Our findings underscore the need to address mental health concerns alongside oral health, as both are vital components of overall well-being, particularly in the context of adolescent dental care.
Conclusion
Adolescents with elevated levels of depression and stress have a significantly poorer OHRQoL than their peers without these psychological challenges. These findings highlight the crucial role of emotional and social factors in the assessment of oral health, particularly during the critical developmental period of adolescence.
Acknowledgments:
The authors thank the adolescents and their parents/guardians for their availability to participate in this study. We also thank the undergraduate and graduate students of the Federal University of Santa Maria for their contributions to this research.
Funding Statement
Financial support: The Conselho Nacional de Desenvolvimento Científico e Tecnológico (process 160258/2020-0) and Fundação de Amparo à Pesquisa do Estado de São Paulo – Fapesp (grant No. 2019/27593-8) supported this study.
Footnotes
Financial support: The Conselho Nacional de Desenvolvimento Científico e Tecnológico (process 160258/2020-0) and Fundação de Amparo à Pesquisa do Estado de São Paulo – Fapesp (grant No. 2019/27593-8) supported this study.
Data availability:
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
- 1.Sawyer SM, Afifi RA, Bearinger LH, Blakemore SJ, Dick B, Ezeh AC, et al. Adolescence: a foundation for future health. Lancet. 2012 Apr;379(9826):1630–1640. doi: 10.1016/S0140-6736(12)60072-5. [DOI] [PubMed] [Google Scholar]
- 2.Vettore MV, Ahmad SF, Machuca C, Fontanini H. Socio-economic status, social support, social network, dental status, and oral health reported outcomes in adolescents. Eur J Oral Sci. 2019 Apr;127(2):139–146. doi: 10.1111/eos.12605. [DOI] [PubMed] [Google Scholar]
- 3.Tavormina MG, Tavormina R. Depression in early childhood. Psychiatr Danub. 2022 Sep;34(Suppl 8):64–70. doi: 10.1097/00004583-199611000-00011. [DOI] [PubMed] [Google Scholar]
- 4.World Health Organization . World mental health report: transforming mental health for all. Geneva: World Health Organization; 2022. [Google Scholar]
- 5.Brondani B, Knorst JK, Ardenghi TM, Mendes FM. Pathway analysis between dental caries and oral health-related quality of life in the transition from childhood to adolescence: a 10-year cohort study. Qual Life Res. 2024 Jun;33(6):1663–1673. doi: 10.1007/s11136-024-03635-x. [DOI] [PubMed] [Google Scholar]
- 6.Pinheiro SA, Rodrigues HB, Santos JT, Granja GL, Lussi A, Leal SC, et al. Association of dental caries morbidity stages with oral health-related quality of life in children and adolescents. Int J Paediatr Dent. 2020;30(3):293–302. doi: 10.1111/ipd.12605. [DOI] [PubMed] [Google Scholar]
- 7.Freitas AR, Aznar FD, Tinós AM, Yamashita JM, Sales-Peres A, Sales-Peres SH. Association between dental caries activity, quality of life and obesity in Brazilian adolescents. Int Dent J. 2014 Dec;64(6):318–323. doi: 10.1111/idj.12121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Paula JS, Tôrres LH, Ambrosano GM, Mialhe FL. Association between oral health-related quality of life and atraumatic restorative treatment in school children: an exploratory study. Indian J Dent Res. 2012;23(6):738–741. doi: 10.4103/0970-9290.111249. [DOI] [PubMed] [Google Scholar]
- 9.Silveira ER, Goettems ML, Demarco FF, Azevedo MS. Clinical and Individual Variables in children's dental fear: a school-based investigation. Braz Dent J. 2017;28(3):398–404. doi: 10.1590/0103-6440201601265. [DOI] [PubMed] [Google Scholar]
- 10.Sischo L, Broder HL. Oral health-related quality of life: what, why, how, and future implications. J Dent Res. 2011 Nov;90(11):1264–1270. doi: 10.1177/0022034511399918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hayashi K, Izumi M, Mastuda Y, Isobe A, Akifusa S. Relationship between anxiety/depression and oral health-related quality of life in inpatients of convalescent hospitals. Odontology. 2019 Apr;107(2):254–260. doi: 10.1007/s10266-018-0394-x. [DOI] [PubMed] [Google Scholar]
- 12.Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck depression and anxiety inventories. Behav Res Ther. 1995 Mar;33(3):335–343. doi: 10.1016/0005-7967(94)00075-u. https://doi.com/10.1016/j.rbp.2012.05.003 [DOI] [PubMed] [Google Scholar]
- 13.Fawzy M, Hamed SA. Prevalence of psychological stress, depression and anxiety among medical students in Egypt. Psychiatry Res. 2017 Sep;255:186–194. doi: 10.1016/j.psychres.2017.05.027. [DOI] [PubMed] [Google Scholar]
- 14.Haddad F, Bourke J, Wong K, Leonard H. An investigation of the determinants of quality of life in adolescents and young adults with Down syndrome. PLoS One. 2018 Jun;13(6):e0197394. doi: 10.1371/journal.pone.0197394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Shaw T, Campbell MA, Runions KC, Zubrick SR. Properties of the DASS-21 in an Australian Community Adolescent Population. J Clin Psychol. 2017 Jul;73(7):879–892. doi: 10.1002/jclp.22376. [DOI] [PubMed] [Google Scholar]
- 16.Brondani B, Emmanuelli B, Alves LS, Soares CJ, Ardenghi TM. The effect of dental treatment on oral health-related quality of life in adolescents. Clin Oral Investig. 2018 Jul;22(6):2291–2297. doi: 10.1007/s00784-017-2328-3. [DOI] [PubMed] [Google Scholar]
- 17.Goursand D, Paiva SM, Zarzar PM, Ramos-Jorge ML, Cornacchia GM, Pordeus IA, et al. Cross-cultural adaptation of the Child Perceptions Questionnaire 11-14 (CPQ11-14) for the Brazilian Portuguese language. 2Health Qual Life Outcomes. 2008 Jan;6(1) doi: 10.1186/1477-7525-6-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Foster Page LA, Thomson WM, Jokovic A, Locker D. Epidemiological evaluation of short-form versions of the Child Perception Questionnaire. Eur J Oral Sci. 2008 Dec;116(6):538–544. doi: 10.1111/j.1600-0722.2008.00579.x. [DOI] [PubMed] [Google Scholar]
- 19.Machado W., Bandeira D. Adaptação e validação da Depression, Anxiety and Stress Scale (DASS-21) para o português brasileiro. Progrma de Pós-Graduação em Psicoogia, Universidade Federal do Rio Grande do Sul; 2013. [Google Scholar]
- 20.Ismail AI, Sohn W, Tellez M, Amaya A, Sen A, Hasson H, et al. The International Caries Detection and Assessment System (ICDAS): an integrated system for measuring dental caries. Community Dent Oral Epidemiol. 2007 Jun;35(3):170–178. doi: 10.1111/j.1600-0528.2007.00347.x. [DOI] [PubMed] [Google Scholar]
- 21.World Heath Organization . A conceptual framework for action on the social determinants of health. Geneva: World Heath Organization; 2010. Debates, policy & practice, case studies. [Google Scholar]
- 22.Noguchi S, Makino M, Haresaku S, Shimada K, Naito T. Insomnia and depression impair oral health-related quality of life in the old-old. Geriatr Gerontol Int. 2017 Jun;17(6):893–897. doi: 10.1111/ggi.12816. [DOI] [PubMed] [Google Scholar]
- 23.Oancea R, Timar B, Papava I, Cristina BA, Ilie AC, Dehelean L. Influence of depression and self-esteem on oral health-related quality of life in students. J Int Med Res. 2020 Feb;48(2):300060520902615. doi: 10.1177/0300060520902615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Nerobkova N, Park EC, Jang SI. Depression and oral health-related quality of life: A longitudinal study. 1072115Front Public Health. 2023 Feb;11 doi: 10.3389/fpubh.2023.1072115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Edifix has not found an issue number in the journal reference. Please check the volume/issue information. 2023". Ref. 24 "Nerobkova, Park, Jang.
- 26.Millings A, Buck R, Montgomery A, Spears M, Stallard P. School connectedness, peer attachment, and self-esteem as predictors of adolescent depression. J Adolesc. 2012 Aug;35(4):1061–1067. doi: 10.1016/j.adolescence.2012.02.015. [DOI] [PubMed] [Google Scholar]
- 27.Sowislo JF, Orth U. Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies. Psychol Bull. 2013 Jan;139(1):213–240. doi: 10.1037/a0028931. [DOI] [PubMed] [Google Scholar]
- 28.Yuan Y, Jiang S, Yan S, Chen L, Zhang M, Zhang J, et al. The relationship between depression and social avoidance of college students: A moderated mediation model. J Affect Disord. 2022 Mar;300:249–254. doi: 10.1016/j.jad.2021.12.119. [DOI] [PubMed] [Google Scholar]
- 29.Yuan, Jiang, Yan, Chen, Zhang, Zhang, et al. Edifix has not found an issue number in the journal reference. Please check the volume/issue information. 2022. Ref. 27.
- 30.Woods HC, Scott H. #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc. 2016 Aug;51(1):41–49. doi: 10.1016/j.adolescence.2016.05.008. [DOI] [PubMed] [Google Scholar]
- 31.Vasiliou A, Shankardass K, Nisenbaum R, Quiñonez C. Current stress and poor oral health. 88BMC Oral Health. 2016 Sep;16(1) doi: 10.1186/s12903-016-0284-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Goens D, Virzi NE, Jung SE, Rutledge TR, Zarrinpar A. Obesity, Chronic Stress, and Stress Reduction. Gastroenterol Clin North Am. 2023 Jun;52(2):347–362. doi: 10.1016/j.gtc.2023.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.World Health Organization . Guideline: sugars intake for adults and children. Geneva: World Health Organization; 2015. [PubMed] [Google Scholar]
- 34.Zhang Y, He J, He B, Huang R, Li M. Effect of tobacco on periodontal disease and oral cancer. 40Tob Induc Dis. 2019 May;17(May) doi: 10.18332/tid/106187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Demjaha G, Kapusevska B, Pejkovska-Shahpaska B. Bruxism Unconscious Oral habit in everyday life. Open Access Maced J Med Sci. 2019 Mar;7(5):876–881. doi: 10.3889/oamjms.2019.196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Carvalho AMB, Lima MDM, Silva JM, Dantas NB, Neta, Moura LFAD. Bruxismo e qualidade de vida em escolares de 11 a 14 anos. Cien Saude Colet. 2015 Nov;20(11):3385–3393. doi: 10.1590/1413-812320152011.20772014. [DOI] [PubMed] [Google Scholar]
- 37.Dakanalis A, Mentzelou M, Papadopoulou SK, Papandreou D, Spanoudaki M, Vasios GK, et al. The association of emotional eating with overweight/obesity, depression, anxiety/stress, and dietary patterns: a review of the current clinical evidence. Nutrients. 2023 Feb;15(5):1173. doi: 10.3390/nu15051173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Merdad L, El-Housseiny AA. Do children's previous dental experience and fear affect their perceived oral health-related quality of life (OHRQoL)? 47BMC Oral Health. 2017 Jan;17(1) doi: 10.1186/s12903-017-0338-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Luoto A, Lahti S, Nevanperä T, Tolvanen M, Locker D. Oral-health-related quality of life among children with and without dental fear. Int J Paediatr Dent. 2009 Mar;19(2):115–120. doi: 10.1111/j.1365-263X.2008.00943.x. [DOI] [PubMed] [Google Scholar]
- 40.Patias ND, Machado WD, Bandeira DR, Dell'Aglio DD. Depression Anxiety and Stress Scale (DASS-21) - short form: adaptação e validação para adolescentes brasileiros. Psico-USF. 2016 Dec;21(3):459–469. doi: 10.1590/1413-82712016210302. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

