Citation Information :
Agarwalla S, Chandra B, Kundu GK. Influence of Age and Gender on Emotional Intelligence, Intelligence Quotient, Anxiety, and Behavior of Children in a Dental Setup. Int J Clin Pediatr Dent 2024; 17 (5):518-523.
Background: Children's age is a significant predictor factor for their panic and conduct intraoperatively. A child's developmental stage influences their ability to handle stress in dental operations, and it seems that younger children are more anxious and have a better capacity to cope with dental procedures. Age and gender are said to have a significant influence on emotional quotient (EQ) and intelligence quotient (IQ), but the data regarding this is extremely sparse in the dental literature.
Aim: To find the impact of age and gender on EQ, IQ, panic, and conduct of children in an oral care setup.
Materials and methods: A total of 57 female and 50 male (total 107) children were considered participants aged 7–12 years. The study was executed in two sessions in the pediatric dentistry department. In the first session, “Bar-On emotional quotient inventory: youth version (Bar-On EQ-i: YV)” and the “Raven's colored progressive matrices (RCPM)” tests were administered to evaluate the EQ and IQ of the children, and a clinical psychologist supervised and guided the whole procedure. In the second appointment, anxiety was recorded using the “faces version of the modified child's dental anxiety scale (MCDAS(f)),” whereas behavior was recorded with the “sound, eye, and motor (SEM) scale.” Interpretation of data was done by statistical methods.
Results: The difference in IQ scores between the groups aged 7–9 and 10–12 years was not statistically significant. There was a statistically notable difference (p-value of 0.006) in the RCPM IQ scores among male and female participants, where female participants scored better. There was a statistically insignificant variation in total EQ scores between male and female participants. Based on age and gender, a statistically insignificant variation was noted in the anxiety scores (MCDAS(f)) among participants. A statistically notable difference (p-value of 0.018) was seen between the SEM scores of the 7–9 and 10–12 years age-groups. SEM scores of male and female participants showed no significant difference.
Conclusion: There was no influence of age on the IQ and EQ scores of the participants. A gender difference was found in relation to the IQ scores and the intrapersonal and stress management subscales of EQ. Based on age and gender, there was a statistically nonsignificant difference between the anxiety scores (MCDAS(f)) of the participants. A statistically notable variation was seen between the SEM scores for behavior of the 7–9 and 10–12 years age-groups. Statistically insignificant variation was noted between the SEM scores of both genders.
Joshi D, Dutta I. Emotional intelligence among secondary students: role of gender and type of school. MIER J Edu Stud Trend Pract 2021;4(2)167–182. DOI: 10.52634/mier/2014/v4/i2/1468
Arteche A, Chamorro-Premuzic T, Furnham A, et al. The relationship of trait EI with personality, IQ and sex in a UK sample of employees. Int J Select Asses 2008;16(4):421–426. DOI: 10.1111/j.1468-2389.2008.00446.x
Haworth CM, Kovas Y, Harlaar N, et al. Generalist genes and learning disabilities: a multivariate genetic analysis of low performance in reading, mathematics, language and general cognitive ability in a sample of 8000 12-year-old twins. J Child Psychol Psychiatr 2009;50(10):1318–1325. DOI: 10.1111/j.1469-7610.2009.02114.x
Weinberg RA. Intelligence and IQ: landmark issues and great debates. Am Psychol 1989;44(2):98–104.
Bouchard TJ. The Wilson effect: the increase in heritability of IQ with age. Twin Res Hum Genet 2013;16(5):923–930. DOI: 10.1017/thg.2013.54
Ainley P. What Is Intelligence? Beyond the flynn effect, by James R. Flynn Int J Lifelong Edu 2009;28(5):675–677.
Flynn JR. The mean IQ of Americans: Massive gains 1932 to 1978. Psychol Bullet 1984;95(1):29–51. DOI: 10.1037/0033-2909.95.1.29
Agarwalla S, Chandra B, Kundu GK. Psychometric properties of BarOn emotional quotient inventory youth version among Bengali children. Int J Social Sci Rev 2020;8(4-6):105–109.
Bar-On R. The Bar-On Model of Emotional-Social Intelligence. Psicothema 2006;18(Suppl):13–25.
Wright GZ, Weinberger SJ, Marti R, et al. The effectiveness of infiltration anesthesia in the mandibular primary molar region. Pediatr Dent 1991;13(5):278–283.
Freud A. Normality and Pathology in Childhood: Assessments of Development, 1st edition. Routledge; 1989.
Aminabadi NA, Oskouei SG, Farahani RM. Dental treatment duration as an indicator of the behavior of 3- to 9-year-old pediatric patients in clinical dental settings. J Contemp Dent Pract 2009;10(5):E025–E032.
Agarwal M, Das UM. Dental anxiety prediction using Venham picture test: a preliminary cross-sectional study. J Indian Soc Pedod Prev Dent 2013;31(1):22–24. DOI: 10.4103/0970-4388.112397
Kaur R, Jindal R, Dua R, et al. Comparative evaluation of the effectiveness of audio and audiovisual distraction aids in the management of anxious pediatric dental patients. J Indian Soc Pedod Prev Dent 2015;33(3):192–203. DOI: 10.4103/0970-4388.160357
Coric A, Banozic A, Klaric M, et al. Dental fear and anxiety in older children: an association with parental dental anxiety and effective pain coping strategies. J Pain Res 2014;7:515–521. DOI: 10.2147/JPR.S67692
Dogan MC, Seydaoglu G, Uguz S, et al. The effect of age, gender and socio-economic factors on perceived dental anxiety determined by a modified scale in children. Oral Health Prev Dent 2006;4(4):235–241.
Venham LL, Gaulin-Kremer E. A self-report measure of situational anxiety for young children. Pediatr Dent 1979;1(2):91–96.
Peretz B, Nazarian Y, Bimstein E. Dental anxiety in a students’ paediatric dental clinic: children, parents and students. Int J Paediatr Dent 2004;14(3):192–198. DOI: 10.1111/j.1365-263X.2004.00545.x
Paryab M, Hosseinbor M. Dental anxiety and behavioral problems: a study of prevalence and related factors among a group of Iranian children aged 6-12. J Indian Soc Pedod Prev Dent 2013;31(2):82–86. DOI: 10.4103/0970-4388.115699
Kakkar M, Wahi A, Thakkar R, et al. Prevalence of dental anxiety in 10–14 years old children and its implications. J Dent Anesth Pain Med 2016;16(3):199–202. DOI: 10.17245/jdapm.2016.16.3.199
Akbay Oba A, Dülgergil CT, Sönmez IS. Prevalence of dental anxiety in 7- to 11-year-old children and its relationship to dental caries. Med Princ Pract 2009;18(6):453–457. DOI: 10.1159/000235894
Klingberg G, Broberg AG. Dental fear/anxiety and dental behaviour management problems in children and adolescents: a review of prevalence and concomitant psychological factors. Int J Paediatr Dent 2007;17(6):391–406. DOI: 10.1111/j.1365-263X.2007.00872.x
Popescu SM, Dascălu IT, Scrieciu M, et al. Dental anxiety and its association with behavioral factors in children. Curr Health Sci J 2014;40(4):261–264. DOI: 10.12865/CHSJ.40.04.05
Javadinejad S, Farajzadegan Z, Madahain M. Iranian version of a face version of the modified child dental anxiety scale: transcultural adaptation and reliability analysis. J Res Med Sci 2011;16(7):872–877.
Lenchner V. The effect of appointment length on behavior of the pedodontic patient and his attitude toward dentistry. J Dent Child 1966;33(2):61–74.
Suprabha BS, Rao A, Choudhary S, et al. Child dental fear and behavior: the role of environmental factors in a hospital cohort. J Indian Soc Pedod Prevent Dent 2011;29(2):95–101. DOI: 10.4103/0970-4388.84679
Adair SM, Waller JL, Schafer TE, et al. A survey of members of the American Academy of Pediatric Dentistry on their use of behavior management techniques. Pediatr Dent 2004;26(2):159–166.
Breslau N, Chilcoat HD, Susser ES, et al. Peterson, Stability and change in children's intelligence quotient scores: a comparison of two socioeconomically disparate communities. Am J Epidemiol 2001;154(8):711–717. DOI: 10.1093/aje/154.8.711
Navit S, Malhotra G, Singh J, et al. Interrelationship of intelligence quotient with caries and gingivitis. J Int Oral Health 2014;6(4):56-62.
Dhanu G, Havale R, Shrutha SP, et al. Assessment of intelligence quotient using Raven's coloured progressive matrices among school children of Hyderabad Karnataka region and its correlation with prevalence of dental caries. J Indian Soc Pedod Prev Dent 2019;37(1):25–30. DOI: 10.4103/JISPPD.JISPPD_236_18
Roberts RD. The handbook of emotional intelligence: theory, development, assessment, and application at home, school, and in the workplace. Intelligence 2002;30(2):209–210. DOI: 10.1016/S0160-2896(01)00084-8
Meshkat M, Nejati R. Does emotional intelligence depend on gender? A study on undergraduate English majors of three Iranian universities. Sage Open 2017;7(3). DOI: 10.1177/2158244017725796
Joseph DL, Newman DA. Emotional intelligence: an integrative meta-analysis and cascading model. J Appl Psychol 2010;95(1):54–78. DOI: 10.1037/a0017286
Ahmad S, Bangash H, Khan SA. Emotional intelligence and gender differences. Sarhad J Agric 2009;25(1):127–130.
Torres LH, Buitrago RE, Espinosa SC. Emotional intelligence in Colombian primary school children. Location and gender. Universitas Psychologica 2017;16(3):1–10. DOI: 10.11144/Javeriana.upsy16-3.eips