Skip to content

Advertisement

Open Access

The association between caries related treatment needs and socio-demographic variables among young Israeli adults: a record based cross sectional study

Israel Journal of Health Policy Research20187:24

https://doi.org/10.1186/s13584-018-0222-3

Received: 22 December 2017

Accepted: 30 April 2018

Published: 9 May 2018

Abstract

Backgroud

The need for dental treatments, especially those related to dental caries, may be associated with and influenced by a wide range of demographic variables. The aim of this study was to describe caries related treatment needs among young Israeli adults and the association with several socio-demographic factors, including socio-economic cluster (SEC), intellectual capabilities, ethnicity and other variables.

Methods

Data were collected from dental records of army recruits between 2012 and 2013. We cross-examined data regarding dental treatment needs with socio-demographic variables: age, gender, SEC, intellectual capability score (ICS), birth place of participant and parents, education and immigration.

Results

Data received regarding 13,398 combat recruits during their first four months of military training. Most subjects were males (92.4%), with a mean age of 18.9 years. 10.8% were immigrants, with 12.2 years living in Israel before their recruitment. Only 17.7% had no dental treatment needs. Mean number of teeth needing treatment was: for restorations 1.96 ± 2.59, for root canal therapies 0.07 ± 0.44 and for extractions 0.05 ± 0.28. Low ICS scores and low SEC group were significantly associated with higher treatment needs (P < 0.001). Statistically significant higher treatment needs were observed among participants who originated from immigrant families. In a multivariate analysis (Generalized Linear Model), gender, age, ICS score, SEC group and country of birth were found as independent predictors for number of restorations needed.

Conclusion

Socio-demographic variables significantly influence dental treatment needs and should be taken into account when preparing intervention programs in this population.

Background

The understanding and level of global oral health has dramatically improved over the past 30–40 years. Nevertheless alarming disparities remain between and within countries [1]. The epidemiology of dental diseases has clearly been described as a web of connecting factors, including biological, social, psychological, economic, environmental and other variables [2]. An abundance of the literature has emphasized the role of Socio-Economic Cluster (SEC) on oral health [3, 4]. SEC has been described as those social determinants (including education, economic, social and others), which influence health. A predominant factor, almost always included as an SEC marker is education. This has been extensively studied in a wide spectrum and diversity of cultures, including Japan, Finland, Iran and more [57]. Commonly, education is related to intelligence, albeit not always. To date, locating studies associating intelligence with oral health has been largely futile [8].

The military population in Israel is large and standard archived measures include an estimation of intelligence. Hence we believed that this might provide a unique opportunity to investigate the relationship between intelligence and oral health.

A previous study from Israel assessed caries levels among 581 young adults during their military service. Among other findings, it showed that caries experience was higher among immigrants from the former USSR, compared to native Israelis, which were also more likely to attend regular dental appointments throughout their lives [9]. An additional study of young Israeli adults showed higher levels of caries experience among soldiers of Ethiopian or former USSR origin, and among subjects with less than 12 years of schooling [10].

The military population in Israel is large, and serve as a reliable source of data for demographic and epidemiologic studies among young adults, partially because military service in Israel is compulsory for both young men and women. Standard archived measures include an estimation of intelligence, which is derived from a validated indicator – the Intellectual Capability Score (ICS). This indicator serves as a sorting factor for different military roles. We believed that having this data might provide a unique opportunity to investigate the relationship between intelligence and oral health.

Methods

This is a records based cross sectional study among combat soldiers recruited between 2012 and 2013. Data were drawn from records of mandatory dental examinations which took place during the first 4 months post recruitment, in training bases. Original data were collected by approximately 20 military dentists, and included a detailed treatment plan, from which we have extrapolated the main dependent variables: the number of teeth in need of dental restorations, root canal treatments (RCTs) or extractions due to caries (excluding third molars). We utilized these variables as a proxy for oral health.

All examinees were healthy (a basic requirement for combat soldiers). The treatment plan was made after an examination performed in the bases, according to the guidelines of the dental department in the IDF medical corps, and included two bitewing radiographs for all examinees. Periapical radiographs were taken in cases of deep caries or former endodontic treatment. Quality control of these treatment plans and adherence to these guidelines were checked seasonally by the regional military chief dental surgeons.

Demographic independent variables were derived from IDF’s central demographic database and included: age, gender, birth country of participant and of both parents, years since immigration, and education level. SEC was determined according to place of residence, using the Israel Bureau of Statistics ranking of 1–10 (10 being the highest most well off score) [11]. For ease of presentation and analyses, this variable was categorized into low (1–4), medium (5–7) and high (8–10) SEC levels.

Intellectual capability in the IDF is assessed by ICS (also known as Initial psycho-technical evaluation/'Dapar’). This measure, established during a pre-draft screening, is ranked on a 9-point scale (between 10 and 90, with 10-point increments).

The validity of the ICS as a measure of general intelligence has been previously demonstrated to exhibit a correlation > 0.8 with the Wechsler Adult Intelligence Scale total IQ [12]. ICS is comprised of 4 time-limited tests with progressing difficulty. The tests are (1) a modified Otis-type verbal intelligence test, appraising ability to understand and execute verbal instructions; (2) verbal analogies, a modified version of the “similarities” subtest of the Wechsler Intelligence Scales, measuring verbal abstraction and categorization; (3) mathematical knowledge, assessing mathematical reasoning, concentration, and concept manipulation; and (4) nonverbal analogies, a modified version of Raven’s Progressive Matrices that evaluates nonverbal abstract reasoning and visual–spatial problem-solving abilities [13, 14].

For univariate analyses purposes, we dichotomized the scores according to the 75-percentile cut-off into low (scores under 70) and high (70 or more).

Data were analyzed by statistical analyses software (SPSS, version 21) with significance level set at α = 0.05. Univariate analyses included descriptive statistics (means, standard deviations and medians), Mann Whitney and Kruskal Wallis tests to evaluate associations between continuous non-normally distributed variables. Correlations between continuous variables was performed by using Pearson correlation coefficient. General Linear Model (GLM) multivariate analysis was applied to predict the restorative treatment needs. Independent variables that were significant in the univariate analyses were entered to the GLM.

Results

The results shown are from files of 13,398 combat soldiers (92.4% male, mean age 18.92 ± 0.8). Median ICS score was 50 (range 10–90) and the median SEC score was 6.

Most of the examinees (11,957, 89.2%) were born in Israel; 4.6% (n = 611) have immigrated from the former USSR and 0.9% (n = 119) were born in Ethiopia. Immigrant participants had lived an average of 12.15 ± 5.6 years in Israel prior to recruitment (range 0.07–22.17). The majority of examinees (96.9%) had completed high school prior to their recruitment.

According to the examinations’ findings, 17.7% (2368) examinees were without need of any treatment. The mean number of teeth in need of restorations was 1.96 ± 2.59 per soldier (range 0–24), 0.07 ± 0.44 for RCTs (range 0–12) and 0.05 ± 0.28 for extractions (range 0–5). Association between socio-demographic variables and dental treatment needs are presented in Table 1. Higher mean number of needed dental restorations was found among males. However, gender was not significant in mean number of needed RCT’s or extractions. Significant associations were found between lower ICS and lower SEC groups and higher need for all three treatment categories.
Table 1

Associations between socio-demographic variables and dental treatment needs

 

N

Num. of teeth in need of restorations

Number of teeth in need of RCTs

Number of teeth in need of extractions

Mean (SD)

p value

Mean (SD)

p value

Mean (SD)

p value

Gender

Male

12,375

1.99 (2.62)

< 0.001a

0.07 (0.45)

NS

0.05 (0.28)

NS

Female

1023

1.63 (2.19)

0.06 (0.33)

0.04 (0.27)

Country of birth

Israel

11,957

1.95 (±2.59)

< 0.001b

0.07 (±0.45)

< 0.001b

0.05 (±0.28)

< 0.001b

Former USSR

611

2.52 (±2.74)

0.12 (±0.51)

0.08 (±0.35)

North America

316

1.22 (±1.91)

0.01 (±0.11)

0.01 (±0.13)

Ethiopia

119

3.13 (±3.34)

0.12 (±0.42)

0.08 (±0.32)

Other

395

1.64 (±2.36)

0.04 (±0.23)

0.04 (±0.23)

ICS score

Low (< 70)

10,018

2.10 (2.69)

< 0.001a

0.09 (0.49)

< 0.001a

0.05 (0.31)

< 0.001a

High (70–90)

3364

1.55 (2.24)

0.03 (0.22)

0.02 (0.19)

SEC groups

Low (1–4)

3511

2.39 (2.97)

< 0.001b

0.12 (0.59)

< 0.001b

0.07 (0.35)

< 0.001b

Mid (5–7)

5867

1.83 (2.43)

0.05 (0.33)

0.04 (0.25)

High (8–10)

2489

1.47 (2.05)

0.03 (0.23)

0.02 (0.20)

NS not statistically significant

aMann-Whitney test

bKruskal-Wallis test

Post hoc tests revealed that subjects who were born in North America showed a significantly lower need for dental treatments compared to all other groups. Subjects who were born in Israel had significantly lower treatment needs compared to former USSR immigrants (in all three categories- P < 0.001), and compared to former Ethiopian immigrants (only for dental restorations and RCT’s, P < 0.001 and P = 0.03, respectively).

A multivariate Generalized Linear Model (GLM) revealed that male gender, older age, low ICS and low SEC, being born in former USSR countries or in Ethiopia, were all predictors for higher restorative need (P < 0.001, Table 2).
Table 2

GLM prediction model with number of teeth which needed dental restorations as the dependent variable

Independent variable

Relative risk

P value

95% Confidence Interval

Lower

Upper

Intercept

2.178

< 0.001

1.616

2.937

Agea

1.037

< 0.001

1.021

1.053

ICSa

0.991

< 0.001

0.991

0.992

SECa

0.916

< 0.001

0.909

0.923

Gender

Male

1.141

< 0.001

1.083

1.204

 

Female

1.000

Country of birth

former USSRb

1.074

< 0.001

1.035

1.114

All other countries

1.000

Country of birth –

Ethiopiab

1.292

< 0.001

1.192

1.401

 

All other countries

1.000

aContinuous variable

bBirth place of either the subjects or at least one of their parents

Similar analyses for RCT’s and extractions were not conducted due to the relatively low number of such treatments.

Discussion

This study analyzed data regarding dental treatment needs and demographic variables of 13,398 young Israeli adults. Its predominant advantage is the large sample size which is optimally representative of Israeli young healthy adults. To the best of our knowledge, this is the first time this new database of computerized dental treatment records, which includes full and complete dental needs data, is being studied and published. Most of the soldiers in this sample were males (9:1 ratio), due to few females recruited to combat positions. We consistently demonstrated a reverse correlation between the level of SEC and ICS and higher dental treatment needs in all three treatment categories. The associations between socio economic status and dental needs have been established and described in previous studies [1517], however, comprehensive studies regarding the correlation between dental caries and intellectual capabilities are few. Navit et al. tested 252 10–15 year old children for the correlation between IQ (according to Malin’s intelligence scale) and dental caries (DMFT index). No significant association between level of intelligence and caries prevalence was observed [18]. The current study offers a unique opportunity to explore a comprehensive database that enables a crossing of dental records with intellectual data. Our results found a statistically significant association between low intellectual capabilities and higher dental treatment needs. As there are almost no previous data regarding association between intelligence levels and caries prevalence, we may suggest that ICS serves here as an indirect marker of other, uncollected variables such as social or material deprivation, or educational level of the examinees’ parents. All these markers were already shown to be associated with caries prevalence [37, 19]; many studies suggest that children’s intelligence level is associated with parental education level (via genetic as well as environmental pathways) [2022], and also with poverty [2224]. However, the statistical significance we have shown could also be merely the result of the large sample size of our study (n = 13,398) rather than a difference so great that ICS could be useful for planning or evaluating interventions. Therefore, further studies should be performed, to study the association between ICS and caries prevalence, which is better measured directly by the DMFT (Decayed, Missing, and Filled Teeth) index, rather than by a proxy measure such as treatment needs.

Higher treatment needs were found among subjects whose parents came from Ethiopia or former USSR, indicating a clear need for preventive intervention among these two subgroups. These findings are similar to previous studies from Israel [10, 2528]. Since both these populations were underrepresented in this study (for Ethiopian descendants: 1.7% among sampled subjects vs. 2.2% of the general Jewish population in 2013; for USSR origin: 12% vs. 15%) [11], this problem may be even more relevant in the general Israeli population. However, we could see that second generation subjects whose parents came from former USSR, had better oral health compared to subjects who immigrated themselves, suggesting a positive trend of improved health status among this subgroup, and possibly a marker of integration and assimilation.

The study has some limitations: we collected data regarding extractions but had no ability to ascertain whether the teeth were missing due to caries. If this had been available, it could have contributed to establishing a more thorough understanding of caries morbidity. Regarding the need for dental restorations, we could not exclude the need for restorations due to trauma or faulty restorations although we presume, judging by our experience that these are a minority that did not alter our results significantly.

We did not have access to data regarding oral hygiene, diet, smoking and other variables, which could shed light on causes for caries, and might further explain the relevance of ICS to untreated dental disease. Furthermore, all data collected were based on clinical and radiographic examination conducted by many military dentists with possible diversity in diagnosis of pathologies and their decisions regarding treatment needs. Examiners had received uniform training, but optimal calibration was not conducted. These examinations are mandatory but cases of refusal or missed examinations are possible and might have been undocumented.

At the present moment, dental health coverage in Israel is from birth to age 16 years. The intention is to eventually reach 18 years of age. Army recruits, therefore provide an optimal (albeit not maximal) age cohort for exploring wider dental health coverage. Results of the present study provide several indications for “at risk” criteria. These would include immigrants originating from Ethiopia and former USSR, lower SEC and low ICS groups.

The present study population has been utilized as representative for young adults in previous epidemiologic studies [24, 23, 10, 9]. Our results may therefore be considered as a baseline for future intervention programs. Dental caries is a chronic and progressive disease. Based on the recognition that Israeli military service is compulsory, and most immigrant soldiers live in Israel several years before induction, opportunities to prevent and control dental caries earlier in life exist and might lead to better oral health among recruits. Results of the present study indicate that interventions developed for the subgroups demonstrating higher needs, can serve as an important baseline against which to ascertain planning and optimal progress in the future.

The dental department of the IDF had focused in recent years on the enhanced treatment of two major populations- (1) Combat troopers; and (2) Low SES soldiers. For example, dental crowns and implants are provided to these soldiers while other mandatory service soldiers do not enjoy these benefits. Our study supports this rational by presenting evidence for the greater treatment needs in the Low SES population. This population also consists of (as expected) a high percentage of ‘lone soldiers’ (soldiers who immigrated without their parents) or immigrants with parents in Israel.

Furthermore, in the past, the dental department organized several intervention plans aimed at providing dental care for certain immigrant populations. We believe our results might support similar and enhanced plans in the future.

Conclusion

Socio-demographic variables such as SEC, ICS and country of birth significantly influence dental treatment needs and should be taken into account when preparing intervention programs in this population.

Declarations

Acknowledgments

Dr. Ron Kedem (statistic consultation). Adi Cohen (data collecting).

Funding

This study did not receive any financial support.

Availability of data and materials

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

Authors’ contributions

Data was collected and analyzed by DHL and NY. Interpretation of results and writing of the manuscript was done by all authors. All authors read and approved the final manuscript.

Author’s information

Dr. Dan Henry Levy received his DMD degree from the Faculty of Dental Medicine, Hebrew University in 2012. He received his MSc degree in health science from the department of microbiology, immunology and genetics at Ben Gurion University of the Negev in 2017. He is involved in many dental intervention programs and researches in the IDF medical corps and serves as deputy commander of the northern dental specialist center.

Dr. Alon Livny received from the Hebrew University his DMD degree (1997) and MPH degree (2004). Since 1998 he was a member of the department of Community Dentistry in the Hebrew University Hadassah School of Dental Medicine, where he served as teacher, lecturer and researcher. Dr. Livny has initiated and supervised many intervention programs in various communities, and also participated in several epidemiological studies. Since 2014 he is also the director of dental students' clinics in the HU Dental School.

Prof. Harold D. Sgan-Cohen DMD MPH has published extensively on subjects related to oral health epidemiology and dental public health in Israel and abroad. Since 1978 he has served in the Department of Community Dentistry of the Hebrew University-Hadassah Faculty of Dental Medicine. He obtained his Masters in Public Health (MPH) degree in 1983 and full professorship in 2010. He served as the Pan European (PER) Board Member of the International Association for Dental Research (IADR) from 2010-2013 and currently is President-Elect of IADR-PER.

Dr Nirit Yavnai received her DMD degree from the Faculty of Dental Medicine, Hebrew University in 2000. She was awarded with a MPH degree from the school of Public Health, Haifa University in 2008. She graduated the residency in Public Health Dentistry and is a licensed specialist from 2012. After various professional military assignments she is the current head of medical research directorate in the IDF.

Ethics approval and consent to participate

This study was approved by the Israeli Defense Force Institutional Review Board (#1371–2014), and the research was conducted in full accordance with the World Medical Association Declaration of Helsinki. As this was a retrospective study of existing data, and the original data collecting was part of a compulsory examinations, the ethical approval included exemption from Informed consent. However, all subject had to give verbal consent before those examinations.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Medical Corps, Israel Defense Forces, Ramat Gan, Israel
(2)
The Shraga Segal Dept. of Microbiology, Immunology and Genetics, Ben Gurion University of the Negev, Beer Sheva, Israel
(3)
Department of Community Dentistry, Hebrew University-Hadassah School of Dental Medicine, Jerusalem, Israel

References

  1. Sgan-Cohen HD, et al. IADR global oral health inequalities research agenda (IADR-GOHIRA(R)): a call to action. J Dent Res. 2013;92(3):209–11.View ArticlePubMedGoogle Scholar
  2. Marmot M, Bell R. Social determinants and dental health. Adv Dent Res. 2011;23(2):201–6.View ArticlePubMedGoogle Scholar
  3. Sengupta K, et al. Trends in socioeconomic inequalities in oral health among 15-year-old Danish adolescents during 1995-2013: a nationwide, register-based, repeated cross-sectional study. Community Dent Oral Epidemiol. 2017;45(5):458–68.View ArticlePubMedGoogle Scholar
  4. van der Tas JT, et al. Social inequalities and dental caries in six-year-old children from the Netherlands. J Dent. 2017;62:18–24.View ArticlePubMedGoogle Scholar
  5. Bernabe E, et al. Education level and oral health in Finnish adults: evidence from different lifecourse models. J Clin Periodontol. 2011;38(1):25–32.View ArticlePubMedGoogle Scholar
  6. Ueno M, et al. Association between education level and dentition status in Japanese adults: Japan public health center-based oral health study. Community Dent Oral Epidemiol. 2012;40(6):481–7.View ArticlePubMedGoogle Scholar
  7. Haghdoost AA, et al. The impact of mother's literacy on child dental caries: individual data or aggregate data analysis? J Educ Health Promot. 2017;6:5.View ArticlePubMedPubMed CentralGoogle Scholar
  8. Heikkinen T, et al. Childhood intelligence and early tooth wear patterns. Cranio. 2017;36(2):1–9.Google Scholar
  9. Birnboim-Blau G, Levin L, Sgan-Cohen HD. Dental status among native and immigrant young Israeli adults. Refuat Hapeh Vehashinayim (1993). 2006;23(1):6–11.Google Scholar
  10. Sgan-Cohen HD, et al. Trends in caries and associated variables among young Israeli adults over 5 decades. Community Dent Oral Epidemiol. 2000;28(3):234–40.View ArticlePubMedGoogle Scholar
  11. CBS, Characterization and Classification of Local Authorities. by the Socio-Economic Level of the Population In 2013, 2016, Central Bureu of Statistics. state of Israel.Google Scholar
  12. Twig G, et al. Cognitive function and the risk for diabetes among young men. Diabetes Care. 2014;37(11):2982–8.View ArticlePubMedGoogle Scholar
  13. GAL R. The selection, classification and placement process. In: A Portrait Of the Israeli soldier. Westport, Conn: Greenwood Press; 1986.Google Scholar
  14. lezak, M., Neuropsychological Assessment. 3rd ed. 1995, New York: Oxford University Press.Google Scholar
  15. Gillcrist JA, Brumley DE, Blackford JU. Community socioeconomic status and children's dental health. J Am Dent Assoc. 2001;132(2):216–22.View ArticlePubMedGoogle Scholar
  16. Reisine ST, Psoter W. Socioeconomic status and selected behavioral determinants as risk factors for dental caries. J Dent Educ. 2001;65(10):1009–16.PubMedGoogle Scholar
  17. Jamieson LM, Thomson WM. Adult oral health inequalities described using area-based and household-based socioeconomic status measures. J Public Health Dent. 2006;66(2):104–9.View ArticlePubMedGoogle Scholar
  18. Navit S, et al. Interrelationship of intelligence quotient with caries and gingivitis. J Int Oral Health. 2014;6(4):56–62.PubMedPubMed CentralGoogle Scholar
  19. Schwendicke F, et al. Socioeconomic inequality and caries: a systematic review and meta-analysis. J Dent Res. 2015;94(1):10–8.View ArticlePubMedGoogle Scholar
  20. Giedd JN, et al. Anatomic magnetic resonance imaging of the developing child and adolescent brain and effects of genetic variation. Neuropsychol Rev. 2010;20(4):349–61.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Lange N, et al. Associations between IQ, total and regional brain volumes, and demography in a large normative sample of healthy children and adolescents. Dev Neuropsychol. 2010;35(3):296–317.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Hackman DA, Farah MJ. Socioeconomic status and the developing brain. Trends Cogn Sci. 2009;13(2):65–73.View ArticlePubMedPubMed CentralGoogle Scholar
  23. Noble KG, et al. Family income, parental education and brain structure in children and adolescents. Nat Neurosci. 2015;18:773.View ArticlePubMedPubMed CentralGoogle Scholar
  24. McLoyd VC. Socioeconomic disadvantage and child development. Am Psychol. 1998;53(2):185–204.View ArticlePubMedGoogle Scholar
  25. Vered Y, et al. Changing dental caries and periodontal disease patterns among a cohort of Ethiopian immigrants to Israel: 1999-2005. BMC Public Health. 2008;8:345.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Sgan-Cohen HD, et al. Dental caries and its determinants among recent immigrants from rural Ethiopia. Community Dent Oral Epidemiol. 1992;20(6):338–42.View ArticlePubMedGoogle Scholar
  27. Mann J, et al. Prevalence of dental caries among Ethiopian emmigrants. Int Dent J. 1994;44(5):480–4.PubMedGoogle Scholar
  28. Vered Y, et al. Psychological distress and social support are determinants of changing oral health status among an immigrant population from Ethiopia. Community Dent Oral Epidemiol. 2011;39(2):145–53.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2018

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. Please note that comments may be removed without notice if they are flagged by another user or do not comply with our community guidelines.

Advertisement