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The relationship between Body Mass Index and dental anxiety among pediatric patients in Jeddah, Saudi Arabia: a cross-sectional study

Abstract

Background

Studies suggested a relationship between anxiety and Body Mass Index (BMI). However, dental anxiety and BMI was not previously investigated. This cross-sectional study aimed to assess the impact of BMI levels on dental anxiety and behavior among pediatric patients.

Methods

Children 6–11 years attending four-referral centers in Jeddah, Saudi Arabia and their parents were interrogated. The BMI level scores, child’s behavior (Frankel’s classification) and dental-anxiety (Abeer Dental Anxiety Scale (ACDAS)) were evaluated.

Results

Out of 952 children participated in this study, 496 (52.1%) had normal BMI, 264 (27.7%) had high BMI (overweight), and 192 (20.2%) had low BMI (underweight). Regression analysis found that overweight was significantly associated with an increased adjusted odds ratio (AOR) of dental anxiety (AOR = 3.018) and uncooperative dental behavior (AOR = 8.714) with p < 0.001. Also, statistically significant increase in the odds ratio (OR) of the child feeling shy in the clinic (P = 0.002; OR:2.113) and parents/operators reporting child behaving scared (P = 0.004; OR:1.985 and p < 0.001; OR:3.03, respectively) when overweight compared to normal-weight.

Conclusions

This study highlights the impact of overweight on the emotional and behavioral dimensions of the child’s dental experience as they significantly increased the probability of dental anxiety and uncooperative behavior by three and eight times, respectively.

Peer Review reports

Background

Anxiety disorders are among the most prevalent mental health conditions, often manifesting before or during early adulthood [1]. It is common for children to experience worries and fears as a normal part of their developmental process. However, the nature and extent of these anxieties evolve with age, influenced and altered by cognitive, social development and inclinations [2].

Dental anxiety is a specific type of anxiety disorder characterized by an intense emotional response to dental treatment, affecting diverse populations globally [2]. It is defined as stress induced by dental treatment, triggering psychological and physiological reactions. There are consequences to dental anxiety, particularly in pediatric patients. Studies indicate that children with high levels of dental anxiety often exhibit poorer oral health outcomes [3]. Moreover, anxiety in these patients can hinder the ability to provide optimal dental care [4].

Although several risk factors for dental anxiety have been identified, many remain uncertain and require further investigation. These can range from well-defined, identifiable factors to more ambiguous causes that may arise without a clear trigger [5,6,7,8,9]. Therefore, this area warrants deeper exploration.

Research had shown a positive correlation between dental anxiety levels and patients’ general anxiety [10, 11]. Several studies have explored the complex relationship between factors like weight status and overall health, reporting associations between general anxiety, depression, mood disorders, and body mass index (BMI) [12,13,14,15]. Given the overlap in potential etiological factors for both general and dental anxiety, BMI may be related with dental anxiety, potentially through shared underlying mechanisms.

The BMI is a quantitative measure used to assess an individual’s weight and height to approximate body fat in both men and females across all age groups [16]. The existing body of research suggest a correlation between BMI and anxiety [12, 14, 15], yet it remains unclear whether specific BMI categorization has a higher likelihood of exacerbating symptoms of anxiety. Research has delved into the relationship between anxiety and weight status, revealing a complex interplay that can vary across gender and age groups [12, 15, 16]. Further, a 2019 systematic review and meta-analysis by Amiri et al. focused specifically on the relationship between obesity and anxiety symptoms. Their findings consistently demonstrated a higher prevalence of anxiety symptoms among overweight individuals compared to those with a healthy weight [12].

While studies have investigated the relationship between general anxiety and BMI, the connection between BMI and dental anxiety, as well as its impact on behavior changes during dental visits, remains unclear, especially in children. Therefore, this study aims to evaluate if children aged 6 to 11 years with high or low BMI exhibit more dental anxiety, and/or behavioral challenges in the dental clinics compared to children with normal BMI.

Materials and methods

Study design and setting

This cross-sectional study enrolled children aged 6 to 11 years from various hospitals in Jeddah, Saudi Arabia, including King Abdulaziz University Dental Hospital (UDH), the Ministry of Health (MOH) (King Fahad General Hospital, North Jeddah Speciality Dental Center), King Fahad Armed Forces Hospital (KFAFH), and King Abdulaziz Medical City (KAMC). Data collection took place from December 2022 to November 2023. Approval for the research was obtained from the Research Ethics Committees of the Faculty of Dentistry at King Abdulaziz University [] and the National Guard at King Abdullah International Medical Research Center (1779/23). This study was conducted following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines to ensure methodological rigor and transparent reporting.

Study size

Using OpenEpi Version 3.01, the sample size was calculated based on Herhaus et al. [17] study which assessed the anxiety and health status across different BMI classes. According to 0.59 mean difference, 80% power, and 95% confidence interval (CI), the suggested sample size was 870.

Participants

Inclusion criteria involved children aged 6 to 11 years with no history of invasive dental treatment (not requiring local anesthesia). The exclusion criteria included children lacking in cooperative ability (unable to control their behavior) according to Wright (1975), such as children with mental disabilities and developmental delays [18]. Additionally, those with uncontrolled medical conditions, or those needing emergency dental treatment were excluded from this study.

Variables, data sources /measurements

Study technique included questionnaire with eligible children and their parents. Data were collected using a form with three parts:

  • Part 1: A questionnaire on sociodemographic variables, including the child’s gender, age groups (7–6, 9–8 and 10–11), and family income (low: less than 7000 SAR, moderate: between 7000–12,000 SAR, or high: more than 12,000 SAR) [19].

  • Part 2: BMI calculation using the child’s height (in centimeters) and weight (in kilograms) with categorization according to The Growth Charts for Saudi Children and Adolescents [20, 21] (Underweight: less than 5th percentile, Healthy: 5th percentile to less than 85th percentile, Overweight: 85th to less than 95th percentile, and Obese: 95th percentile or greater). For analysis, we combined the obese and overweight categories into a single group labeled ‘Overweight’.

  • Part 3: Child’s Dental anxiety and behavior in dental clinics.

    • Abeer Children Dental Anxiety Scale (ACDAS) was used to assess dental anxiety. It consisted of three sections: child self-assessment (13 questions); cognitive components (three questions), and a parental-dentist evaluation of the child’s behavior (three question). The first section is responsible for assess the child’s dental anxiety by calculating the total score of the 13 questions, ranging from 13–39. A child was considered anxious when the total ACDAS score is 26 or more [22, 23].

    • Frankel’s classification was used to assess dental behavior. It is categorized as definitely negative, negative, positive, or definitely positive [24]. The child was considered un-cooperative when he was scored definitely negative or negative, and was considered cooperative when he was scored positive, or definitely positive.

Frankel and ACDAS scales were administered following simple prophylaxis and fluoride procedures. Face validity involved 10 participants not included in the main study, and content validity had a CVI score of 0.98. The internal consistency of ACDAS was assessed using Cronbach’s alpha (0.91).

Statistical methods

Data analysis was conducted through SPSS version 20.0 (IBM Corp., Armonk, NY). Frequencies and percentages calculated for categorical variables, and group comparisons were performed using Chi-square test. Binary regression analysis was used to assess the relationship between both child’s dental anxiety and uncooperative behavior in the dental clinics (dependent factors) and BMI classes (overweight, underweight, and normal), gender, family income, and child’s previous treatment (yes/no) (independent factors) through adjusting the Odds ratio (AOR) and removing the effect of confounders. Odds ratio (OR), and 95% Confidence interval (CI) were calculated for assessing the relationship between a child’s BMI and the cognitive (part II) and behavior (part III) assessment of ACDAS scale. The significance set at a p-value of 0.05.

Results

A total of 952 children participated in the study. Among them, 394 (41.5%) were from KAU, 147 (15.4%) were from KFAFH, 209 (22.0%) were from KAMC, and 201 (21.1%) were from the MOH. There were 439 (46.1%) males, 513 (53.9%) females. Additionally, 264 (27.7%) were overweight, and 192 (20.2%) were underweight. Furthermore, 461 (48.4%) of the children experienced dental anxiety, and 333 (35%) were uncooperative during their dental visit (Table 1 and Fig. 1).

Table 1 Distribution of participants according to sociodemographic factors, BMI, dental anxiety and Frankel’s classification
Fig. 1
figure 1

Relationship between a child’s BMI and his dental anixiety and behavior in dental setting

Table 2 presents the regression analysis results assessing the association between dental anxiety and dental behavior (dependent factors), with sociodemographic factors, and BMI (independent factors). Overweight was significantly associated with an increased AOR of dental anxiety (AOR = 3.018) and uncooperative dental behavior (AOR = 4.246) with p < 0.001. on the other hand, underweight decreased the AOR of dental anxiety (AOR = 0.673) and uncooperative behavior (AOR = 0.617) with P = 0.030 and 0.024, respectively. Previous dental visit decreased the AOR of dental anxiety (AOR: 0.753, P = 0.045) but not the uncooperative behavior. Other variables, such as older age and higher family income decreased the AOR of dental anxiety and uncooperative behavior.

Table 2 Regression analysis for the relationship between both child’s dental anxiety according to Abeer Children Dental Anxiety Scale (ACDAS) and behavior (dependent factors), and sociodemographic factors, and BMI (Independent factors)

For parts II and III of ACDAS, assessing the child’s cognitive and behavior, the results are presented in Table 3 and Supplementary Tables 1 and 2. There was a statistically significant increase in the OR of the child feeling shy in the clinic when overweight compared to normal weight (P = 0.002; OR: 2.113). Additionally, parents and operators reported an increase in the child behaving scared with overweight compared to normal weight (P = 0.004; OR: 1.985 and p < 0.001; OR: 3.03, respectively).

Table 3 Relationship between a child’s BMI level and the cognitive (part II) and behavior (part III) assessment of Abeer Children Dental Anxiety Scale (ACDAS)

Discussion

Dental anxiety is known to negatively impact children’s oral health care and management [7]. Researchers have been investigating its associated risk factors to help control or even prevent it [4, 25, 26]. This study aims to introduce a potential risk factor that has not been previously evaluated in relation to dental anxiety and children’s behavior in dental settings. Specifically, this research examines the correlation between BMI and both dental anxiety and behavioral responses in children during dental visits. The findings suggest that children with a higher BMI are more likely to exhibit dental anxiety and uncooperative behavior during their dental appointments.

lthough the association between BMI and dental anxiety has not been previously studied, the findings of this research align with a growing body of evidence suggesting a significant relationship between general anxiety, behavior, and BMI [12, 14,15,16, 27, 28]. Overweight and obese children are consistently found to be at an increased risk of experiencing anxiety compared to their normal-weight counterparts [12, 14]. Additionally, other studies have further solidified the connection between weight status and various pediatric dental conditions, such as dental caries [29] and dental fear [28].

Nevertheless, studies that did not find an association between anxiety and BMI were either conducted on adults or utilized different anxiety measurement tools, which may account for the discrepancies in findings [15, 30,31,32].

BMI with dental anxiety and behavior in the dental clinics

Evidence from this research indicates that subjects with high BMI levels are three times more likely to experience dental anxiety and four times more likely to exhibit uncooperative behavior in the dental clinic. This identified association between dental anxiety, behavioral responses, and BMI raises significant concerns for the oral health of overweight and obese children [14]. Dental anxiety can lead to avoidance of dental care, delaying the detection and treatment of oral health problems and resulting in a cascade of negative consequences, including dental caries, gum disease, and impaired oral health-related quality of life [14]. Moreover, uncooperative behavior in dental settings poses challenges for dentists in providing adequate care, further complicating oral health management [14]. Using the ACDAS framework to assess cognitive and behavioral aspects revealed additional dimensions of the relationship between weight status and dental experiences. The increased likelihood of overweight children feeling shy in the clinic, as reported by both parents and dental professionals, suggests a nuanced emotional impact that should be considered in clinical settings. This finding underscores the importance of creating a supportive and comfortable environment, particularly for overweight children, to address the emotional aspects of dental care.

The underlying mechanisms for this association are complex and likely involve multiple factors [14, 27]. Overweight and obese children may face increased stigmatization, negative body image, and fear of judgment from dental professionals, all of which can contribute to heightened dental anxiety [27]. Additionally, physical discomforts associated with overweight or obesity—such as increased pain sensitivity or difficulty maneuvering in the dental chair—may exacerbate anxiety and lead to uncooperative behavior [14]. Another potential explanation lies in the association between overweight/obesity and adverse childhood experiences (ACEs) [14]. ACEs, including neglect, abuse, and family conflict, have been linked to an increased risk of anxiety and depression, which may in turn contribute to dental anxiety and uncooperative behavior [14]. Therefore, the relationship between BMI and dental anxiety or behavior may be partially mediated by ACEs [14].

Mitigating factors for dental anxiety and behavior

In this study, various protective factors that may mitigate dental anxiety and uncooperative behavior in patients were explored. Notably, older age emerged as a significant factor, suggesting a decrease in dental anxiety with increasing age. This trend may be attributed to accumulated dental experiences over time, leading to familiarization and reduced fear. This finding aligns with a recent systematic review, which reported that younger patients tend to experience higher levels of anxiety than their older counterparts. This was attributed to the notion that cognitive development improves with age, enhancing awareness and understanding [33].

Additionally, our findings indicate that higher family income is inversely associated with dental anxiety and uncooperative behavior. This correlation may be explained by the increased access to dental care and educational resources afforded by higher income, leading to a better understanding of dental procedures and more regular visits, which, in turn, reduce fear and anxiety. This is consistent with a study conducted in Egypt, which found that negative behavior in dental settings was more prevalent among children from lower socioeconomic backgrounds [34].

Furthermore, this study observed that patients with extensive previous dental experiences exhibited a lower adjusted odds ratio (AOR) for dental anxiety, though this did not extend to behavior. Prior dental visits may improve a child’s awareness of the dental setting, thereby decreasing anxiety, a finding supported by previous research [5, 35, 36]. However, the long-term impact of early dental experiences on behavior may be more complex. A previous study found that negative childhood dental experiences significantly increased the likelihood of dental fear in adulthood, with factors such as toothache, discomfort during treatment, and poor self-evaluation of oral health strongly associated with heightened dental fear and negative behavior [37]. The distinction between fear and anxiety, as well as the factors contributing to dental anxiety and uncooperative behavior, may be explained through classical and operant conditioning theories [38].

In conclusion, factors such as the influence of older age, higher family income, and previous dental experience act as protective elements, potentially contributing to a more positive dental experience. Understanding the role of these variables can inform targeted interventions to enhance the dental care experience for children, promoting cooperation and reducing anxiety.

In light of these findings, addressing dental anxiety and behavior in overweight and obese children is crucial for promoting their oral health. Early identification and intervention are essential to reduce anxiety levels, improve dental behavior, and prevent the onset of oral health problems [14, 39]. Several strategies can be employed to address dental anxiety in this population, including building rapport and trust, implementing behavior modification techniques, and considering anxiolytic agents for severe cases [14, 40,41,42]. Addressing the underlying factors contributing to dental anxiety in overweight and obese children is equally important. This may involve providing support for healthy lifestyle changes, addressing ACEs through trauma-informed care, and promoting body positivity interventions to enhance self-esteem and reduce stigmatization.

Limitations and strength

This study benefits from the objective assessment of BMI. Although the ACDAS is a subjective tool, it is a validated and reliable measure for assessing children’s anxiety [23].

However, the study has certain limitations. It carries the inherent drawbacks of a cross-sectional design, which prevents causal inferences and may introduce selection bias. Additionally, the study was conducted in a specific population in Jeddah, Saudi Arabia, which may limit its generalizability to other populations or settings. To address this, participants were recruited from multiple centers, representing a heterogeneous sample from diverse areas and backgrounds.

Several methods were implemented to mitigate potential biases. Measurement bias was minimized by training data collectors to consistently administer the Abeer Children’s Dental Anxiety Scale (ACDAS) and Frankel’s behavior classification, as well as by using calibrated equipment for height and weight measurements. Recall bias was managed through structured questionnaires and by encouraging parents to refer to participants’ dental records when needed. Response bias was reduced by assuring participants of confidentiality and fostering a supportive environment. Finally, confounding bias was addressed by collecting data on potential confounders—such as family income, gender, parental education, age, and previous dental visits—and adjusting for these factors in the analysis.

Future research should explore the underlying mechanisms of the observed associations, including stigmatization, negative body image, and adverse childhood experiences. Additionally, expanding data collection to multiple centers across the Kingdom or throughout the Middle East could provide more robust insights. Longitudinal studies are needed to investigate the temporal relationship between BMI and dental anxiety, as well as to assess the impact of interventions aimed at improving both weight status and mental health on dental anxiety outcomes.

Implications and clinical significance

Nevertheless, this study contributes to the growing body of literature on pediatric dental care by emphasizing the need for tailored interventions that account for the various factors influencing dental anxiety and behavior. The findings have important clinical implications for dental practitioners, as they highlight a potential association between BMI, dental anxiety, and uncooperative behavior.

Dentists should recognize these connections and implement strategies that address the unique challenges faced by overweight children while also considering socioeconomic and experiential factors. A more patient-centered approach may include creating a supportive and non-judgmental environment, using positive reinforcement, and actively involving parents in the dental care process.

Collectively, these findings underscore the need for a holistic approach to pediatric dentistry—one that acknowledges the complex interplay between physical health, mental health, and social factors in shaping dental outcomes. By adopting this comprehensive approach, pediatric dentists can ensure that all children, regardless of weight status, receive the necessary oral health care to achieve optimal well-being.

Conclusion

The findings of this study suggest that pediatric dentists should consider BMI as a significant factor when assessing and managing young patients. Providing additional support and creating a more reassuring environment for those at higher risk of anxiety may enhance patient care. Moreover, these results highlight the need for a comprehensive approach that promotes both physical and emotional well-being in children, ensuring tailored interventions for those with a higher BMI. Future research could explore specific strategies, policies, and interventions aimed at reducing anxiety and improving cooperation in this demographic.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BMI:

Body Mass Index

ACDAS:

Abeer Dental Anxiety Scale

AOR:

Adjusted Odds Ratio

ACEs:

Adverse childhood experiences

References

  1. Penninx BWJH, Pine DS, Holmes EA, Reif A. Anxiety disorders. Lancet. 2021;397(10277):914–27.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Essau CA. Anxiety in children: when is it classed as a disorder that should be treated? Expert Rev Neurother. 2007;7(8):909–11.

    Article  PubMed  Google Scholar 

  3. Coxon JD, Hosey MT, Newton JT. The impact of dental anxiety on the oral health of children aged 5 and 8 years: a regression analysis of the Child Dental Health Survey 2013. Br Dent J. 2019;227(9):818–22.

    Article  PubMed  Google Scholar 

  4. American Academy of Pediatric Dentistry. Behavior guidance for the paediatric dental patient. The reference manual of pediatric dentistry. Chicago: American Academy of Pediatric Dentistry; 2021.

  5. Alabdullatif MM, Sabbagh HJ, Aldosari FM, Farsi NM. Birth order and its effect on children’s dental anxiety and behavior during dental treatment. Open Dent J. 2023;17:1–8.

    Article  Google Scholar 

  6. Alaki SM, Al-Raddadi RA, Sabbagh HJ. Children’s electronic screen time exposure and its relationship to dental anxiety and behavior. J Taibah Univ Med Sci. 2023;18(4):778–86.

    PubMed  PubMed Central  Google Scholar 

  7. Alowid AM, Hebbal M, Aldegheishem A, Nadakkavukaran Santhosh V, Surath Kumar R, Alfayyadh AM, et al. A cross sectional study on levels of dental anxiety, its influencing factors, and the preferred management techniques among patients in Riyadh, Saudi Arabia. PLoS One. 2024;19(9):e0309248.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Jeddy N, Nithya S, Radhika T, Jeddy N. Dental anxiety and influencing factors: a cross-sectional questionnaire-based survey. Indian J Dent Res. 2018;29(1):10–5.

    Article  PubMed  Google Scholar 

  9. Sabbagh HJ, Sharton G, Almaghrabi J, Al-Malik M, Hassan Ahmed Hassan M, Helal N. Effect of environmental tobacco smoke on children’s anxiety and behavior in dental clinics, Jeddah, Saudi Arabia: a cross-sectional study. Int J Environ Res Public Health. 2021;18(1):319.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Östberg AL, Bengtsson C, Lissner L, Hakeberg M. Oral health and obesity indicators. BMC Oral Health. 2012;12: 50.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Zinke A, Hannig C, Berth H. Psychological distress and anxiety compared amongst dental patients- results of a cross-sectional study in 1549 adults. BMC Oral Health. 2019;19(1):27.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Amiri S, Behnezhad S. Obesity and anxiety symptoms: a systematic review and meta-analysis. Neuropsychiatr. 2019;33(2):72–89.

    Article  PubMed  Google Scholar 

  13. Anbari F, Elmi Z, Anbari F, Rezaeifar K. General anxiety and dental fear: is there a relationship? J dent Mater Tech. 2019;8(4):190–6.

    Google Scholar 

  14. Sahle BW, Breslin M, Sanderson K, Patton G, Dwyer T, Venn A, et al. Association between depression, anxiety and weight change in young adults. BMC Psychiatry. 2019;19(1):398.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Zhao G, Ford ES, Dhingra S, Li C, Strine TW, Mokdad AH. Depression and anxiety among US adults: associations with body mass index. Int J Obes (Lond). 2009;33(2):257–66.

    Article  CAS  PubMed  Google Scholar 

  16. Burke NL, Storch EA. A meta-analysis of weight status and anxiety in children and adolescents. J Dev Behav Pediatr. 2015;36(3):133–45.

    Article  PubMed  Google Scholar 

  17. Herhaus B, Kersting A, Brähler E, Petrowski K. Depression, anxiety and health status across different BMI classes: a representative study in Germany. J Affect Disord. 2020;276:45–52.

    Article  PubMed  Google Scholar 

  18. Shindova MP, Belcheva AB. Behaviour evaluation scales for pediatric dental patients - review and clinical experience. Folia Med (Plovdiv). 2014;56(4):264–70.

    Article  PubMed  Google Scholar 

  19. Alamoudi RA, Bamashmous N, Albeladi NH, Sabbagh HJ. Risk factors associated with children’s behavior in dental clinics: a cross-sectional study. Children (Basel). 2024;11(6):1–8.

  20. Weir CB, Jan A. BMI Classification Percentile And Cut Off Points. StatPearls. Treasure Island (FL) ineligible companies. Disclosure: Arif Jan declares no relevant financial relationships with ineligible companies.: StatPearls Publishing Copyright © 2024. Treasure Island: StatPearls Publishing LLC; 2024.

  21. The growth charts for Saudi children and adolescents. https://www.moh.gov.sa/HealthAwareness/EducationalContent/BabyHealth/Documents/Intermediate%202%20Compatibility%20Mode.pdf. Accessed 7 Dec 2022.

  22. Al-Namankany A. Development of the first Arabic cognitive dental anxiety scale for children and young adults. World J Meta-Anal. 2014;2:64.

    Article  Google Scholar 

  23. Al-Namankany A, Ashley P, Petrie A. The development of a dental anxiety scale with a cognitive component for children and adolescents. Pediatr Dent. 2012;34(7):e219–24.

    PubMed  Google Scholar 

  24. Frankl SN, Shiere FR, Fogels HR. Should the parent remain with the child in the dental operatory? J Dent Child. 1962;29:150–63.

    Google Scholar 

  25. Roberts JF, Curzon ME, Koch G, Martens LC. Review: behaviour management techniques in paediatric dentistry. Eur Arch Paediatr Dent. 2010;11(4):166–74.

    Article  CAS  PubMed  Google Scholar 

  26. Sabbagh HJ, Abdelaziz W, Alghamdi W, Quritum M, AlKhateeb NA, Abourdan J, et al. Anxiety among adolescents and young adults during COVID-19 pandemic: a multi-country survey. Int J Environ Res Public Health. 2022;19(17):10538.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Jorm AF, Korten AE, Christensen H, Jacomb PA, Rodgers B, Parslow RA. Association of obesity with anxiety, depression and emotional well-being: a community survey. Aust N Z J Public Health. 2003;27(4):434–40.

    Article  PubMed  Google Scholar 

  28. Sharifian MJ, Pohjola V, Kunttu K, Virtanen JI. Association between dental fear and eating disorders and Body Mass Index among Finnish university students: a national survey. BMC Oral Health. 2021;21(1):93.

    Article  PubMed  PubMed Central  Google Scholar 

  29. de Lima LCM, Bernardino VMM, Leal TR, Granja GL, Paiva SM, Granville-Garcia AF. Sleep disorders, anxiety and obesity associated with untreated dental caries in children eight to ten years of age. J Public Health Dent. 2024;8:13–20.

  30. Eyres SL, Turner AI, Nowson CA, Torres SJ. Does diet-induced weight change effect anxiety in overweight and obese adults? Nutrition. 2014;30(1):10–5.

    Article  PubMed  Google Scholar 

  31. Haghighi M, Jahangard L, Ahmadpanah M, Bajoghli H, Holsboer-Trachsler E, Brand S. The relation between anxiety and BMI - is it all in our curves? Psychiatry Res. 2016;235:49–54.

    Article  PubMed  Google Scholar 

  32. Tantawy S, Karamat N, Gannas R, Khadem S, Kamel D. Exploring the relationship between body mass index and anxiety status among Ahlia university students. Maced J Med Sci. 2020;8:20–5.

    Article  Google Scholar 

  33. Murad MH, Ingle NA, Assery MK. Evaluating factors associated with fear and anxiety to dental treatment-A systematic review. J Family Med Prim Care. 2020;9(9):4530–5.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Mobarek N, Khalil A, Talaat D. The impact of socioeconomic status on children’s behavior/dental anxiety and their exposure to media in Alexandria, Egypt (A cross-sectional study). Alexandria Dent J. 2021;46(1):149–52.

    Google Scholar 

  35. Lima DSM, Barreto KA, Rank R, Vilela JER, Corrêa M, Colares V. Does previous dental care experience make the child less anxious? An evaluation of anxiety and fear of pain. Eur Arch Paediatr Dent. 2021;22(2):139–43.

    Article  CAS  PubMed  Google Scholar 

  36. Sharma A, Tyagi R. Behavior assessment of children in dental settings: a retrospective study. Int J Clin Pediatr Dent. 2011;4(1):35–9.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Oliveira MA, Vale MP, Bendo CB, Paiva SM, Serra-Negra JM. Influence of negative dental experiences in childhood on the development of dental fear in adulthood: a case-control study. J Oral Rehabil. 2017;44(6):434–41.

    Article  CAS  PubMed  Google Scholar 

  38. Veerkamp JSJ, Wright GZ. Children’s Behavior in the Dental Office. In: Wright GZ, Kupietzky A, editors. Behavior management in dentistry for children. Hoboken: John Wiley and Sons, Inc.; 2014. p. 23–33.

  39. Morgan AJ, Rapee RM, Bayer JK. Prevention and early intervention of anxiety problems in young children: a pilot evaluation of cool little kids online. Internet Interv. 2016;4:105–12.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Bagher SM, Felemban OM, Alandijani AA, Tashkandi MM, Bhadila GY, Bagher AM. The effect of virtual reality distraction on anxiety level during dental treatment among anxious pediatric patients: a randomized clinical trial. J Clin Pediatr Dent. 2023;47(4):63–71.

    PubMed  Google Scholar 

  41. Bagher SM, Felemban OM, Alsabbagh GA, Aljuaid NA. The effect of using a camouflaged dental syringe on children’s anxiety and behavioral pain. Cureus. 2023;15(12):e50023.

    PubMed  PubMed Central  Google Scholar 

  42. Felemban OM, Alshamrani RM, Aljeddawi DH, Bagher SM. Effect of virtual reality distraction on pain and anxiety during infiltration anesthesia in pediatric patients: a randomized clinical trial. BMC Oral Health. 2021;21(1):321.

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This study was not funded by any institutions.

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Authors and Affiliations

Authors

Contributions

NH: Conceptualization, Methodology, Supervision, Study design, Validation, Data curation, and Writing – review & editing; LYF: Methodology, Investigation, Data curation, Writing – original draft and Writing – review & editing; RAD: Methodology, Investigation, Data curation, Writing – original draft and Writing – review & editing; JT: Investigation, Data curation and Writing – review & editing; HT: Investigation, Data curation and Writing – review & editing; FMA: Methodology, Study design, Validation, Investigation, Data curation and Writing – review & editing; SIA: Data curation and Writing – review & editing; HJS: Conceptualization, Methodology, Project administration, Supervision, Study design, Validation, Investigation, Data curation, Formal analysis, Writing – original draft and Writing – review & editing. All authors reviewed and approved the final draft of the manuscript.

Corresponding author

Correspondence to Heba Jafar Sabbagh.

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Approval for the research was obtained from the research ethical committees of the Faculty of Dentistry at King Abdulaziz University (162–12-22) and the National Guard at King Abdullah International Medical Research Center (1779/23). Consent to participate and for publication was obtained from the children’s parents or guardians before their inclusion to the study.

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Not applicable.

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The authors declare no competing interests.

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Helal, N., Faran, L.Y., Dashash, R.A. et al. The relationship between Body Mass Index and dental anxiety among pediatric patients in Jeddah, Saudi Arabia: a cross-sectional study. BMC Oral Health 25, 609 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12903-025-05813-w

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  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12903-025-05813-w

Keywords