Structural determinants explain caries differences among preschool children in Chile's Metropolitan Region.

María José Monsalves, Iris Espinoza, Patricia Moya, Josefina Aubert, Doris Durán, Oscar Arteaga, Jay S Kaufman, Shrikant I Bangdiwala
Author Information
  1. María José Monsalves: Facultad de Medicina y Ciencia, Universidad San Sebastián, Lota 2465, 7510157, Santiago, Chile. maria.monsalves@uss.cl.
  2. Iris Espinoza: Departamento de Patología y Medicina Oral y Centro de Epidemiología y Vigilancia de Enfermedades Orales (CEVEO), Facultad de Odontología, Universidad de Chile, 380544, Santiago, Chile.
  3. Patricia Moya: Facultad de Odontología, Universidad Finis Terrae, 7501015, Santiago, Chile.
  4. Josefina Aubert: Facultad de Medicina y Ciencia, Universidad San Sebastián, Lota 2465, 7510157, Santiago, Chile.
  5. Doris Durán: Instituto de Investigación en Ciencias Odontológicas (ICOD), Facultad de Odontología, Universidad de Chile, 380544, Santiago, Chile.
  6. Oscar Arteaga: Escuela de Salud Pública, Facultad de Medicina, Universidad de Chile, 8380453, Santiago, Chile.
  7. Jay S Kaufman: Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, H3A1G1, Canada.
  8. Shrikant I Bangdiwala: Population Health Research Institute, McMaster University, Hamilton, ON, L8L2X2, Canada.

Abstract

OBJECTIVE: To estimate the association between Social Determinants of Health (structural and intermediate) and caries indicators in Chile's Metropolitan Region preschool children.
METHODS: A multilevel cross-sectional study of Social Determinants of Health (SDH) and caries in children aged 1 to 6 years in Chile's Metropolitan Region was conducted in 2014-2015, with three levels: district, school and child. Caries were assessed by the dmft-index and the prevalence of untreated caries. The structural determinants analyzed were Community Human Development Index (CHDI), urban/rural location, school type, caregiver's education and family income. Poisson multilevel regression models were fit.
RESULTS: The sample size was 2,275 children from 40 schools in 13 districts. While the highest CHDI district had an untreated caries prevalence of 17.1% (12.3-22.7%), in the most disadvantaged district it was 53.9% (95% CI 46.0-61.6%). As family income increased, the probability of untreated caries prevalence decreased (PR = 0.9 95% CI 0.8-1.0). Rural districts had an average dmft-index of 7.3 (95% CI 7.2-7.4), while in urban districts, it was 4.4 (95% CI 4.3-4.5). Higher probabilities of untreated caries prevalence (PR = 3.0 95% CI 2.3-3.9) were observed in rural children. Greater probabilities of untreated caries prevalence (PR = 1.3 95% CI 1.1-1.6) and prevalence of caries experience (PR = 1.3 95% CI 1.1-1.5) were observed in children whose caregivers had a secondary educational level.
CONCLUSIONS: A strong association was observed between the social determinants of health, specifically the structural ones, and the caries indicators studied in children of the Metropolitan Region of Chile. There were notable differences in caries between districts according to social advantage. Rurality and caregiver's education were the most consistent predictors.

Keywords

References

  1. Lancet Diabetes Endocrinol. 2016 Feb;4(2):174-86 [PMID: 26654575]
  2. Soc Sci Med. 2001 Oct;53(7):915-25 [PMID: 11522137]
  3. J Dent Res. 2018 Sep;97(10):1129-1136 [PMID: 29608864]
  4. J Dent Res. 2017 Apr;96(4):380-387 [PMID: 28792274]
  5. BMC Oral Health. 2021 May 4;21(1):237 [PMID: 33947387]
  6. Community Dent Oral Epidemiol. 2022 Apr 1;: [PMID: 35362631]
  7. Braz Oral Res. 2020 Feb 07;34:e010 [PMID: 32049111]
  8. Cien Saude Colet. 2018 Feb;23(2):491-500 [PMID: 29412407]
  9. Lancet. 2019 Jul 20;394(10194):249-260 [PMID: 31327369]
  10. PLoS Med. 2007 Oct 16;4(10):e297 [PMID: 17941715]
  11. Stat Med. 2018 Feb 20;37(4):572-589 [PMID: 29114926]
  12. JDR Clin Trans Res. 2021 Apr;6(2):234-241 [PMID: 32585114]
  13. J Epidemiol Community Health. 2013 Feb;67(2):190-3 [PMID: 22875078]
  14. J Public Health Dent. 2021 Dec;81(4):251-260 [PMID: 33501720]
  15. Community Dent Oral Epidemiol. 2014 Aug;42(4):289-99 [PMID: 24354434]
  16. J Evid Based Dent Pract. 2022 Sep;22(3):101732 [PMID: 36162891]
  17. J Epidemiol Community Health. 2005 May;59(5):350-5 [PMID: 15831681]
  18. J Dent Res. 2015 Jan;94(1):10-8 [PMID: 25394849]
  19. J Dent Res. 2020 Apr;99(4):362-373 [PMID: 32122215]
  20. J Contemp Dent Pract. 2018 Nov 1;19(11):1363-1369 [PMID: 30602642]
  21. Community Dent Oral Epidemiol. 2022 Dec;50(6):461-468 [PMID: 34951711]
  22. Rev Saude Publica. 2013 Dec;47 Suppl 3:129-37 [PMID: 24626589]
  23. Rural Remote Health. 2018 Apr;18(2):4312 [PMID: 29656652]
  24. Rural Remote Health. 2015 Apr-Jun;15(2):3135 [PMID: 26108477]
  25. Caries Res. 2016;50(5):455-461 [PMID: 27529624]
  26. Am J Epidemiol. 2004 Apr 1;159(7):702-6 [PMID: 15033648]
  27. Oral Health Prev Dent. 2016;14(1):77-83 [PMID: 26525122]
  28. Int J Environ Res Public Health. 2022 May 09;19(9): [PMID: 35565164]
  29. J Dent Res. 2019 Oct;98(11):1211-1218 [PMID: 31379245]
  30. Int J Epidemiol. 1985 Mar;14(1):32-8 [PMID: 3872850]
  31. J Dent Res. 2019 Jul;98(8):853-860 [PMID: 31091113]
  32. BMC Med Res Methodol. 2020 Jan 6;20(1):3 [PMID: 31906857]
  33. BMC Oral Health. 2020 Jan 6;20(1):8 [PMID: 31906944]
  34. Rev Epidemiol Sante Publique. 2020 Aug;68(4):201-214 [PMID: 32631663]
  35. Clin Oral Investig. 2021 Sep;25(9):5431-5439 [PMID: 33704570]
  36. Rural Remote Health. 2020 Sep;20(3):5954 [PMID: 32955911]
  37. J Dent Res. 2012 Jun;91(6):536-43 [PMID: 22223436]
  38. Front Public Health. 2018 Mar 16;6:64 [PMID: 29616206]
  39. Community Dent Oral Epidemiol. 2007 Feb;35(1):1-11 [PMID: 17244132]
  40. BMC Oral Health. 2022 May 18;22(1):183 [PMID: 35585594]
  41. Community Dent Oral Epidemiol. 2003 Apr;31(2):152-7 [PMID: 12641597]

Grants

  1. FONIS SA13I20130/Agencia Nacional de Investigación y Desarrollo

MeSH Term

Humans
Child, Preschool
Cross-Sectional Studies
Chile
Dental Caries Susceptibility
Dental Caries
Income
Prevalence
DMF Index

Word Cloud

Created with Highcharts 10.0.0carieschildren95%CIprevalenceuntreatedMetropolitanRegiondeterminantsdistricts4SocialstructuralChile's1district03observedassociationDeterminantsHealthindicatorspreschoolmultilevelschoolCariesdmft-indexCHDIcaregiver'seducationfamilyincome2975probabilitiesPR = 11-1socialdifferencesOBJECTIVE:estimateintermediateMETHODS:cross-sectionalstudySDHaged6 yearsconducted2014-2015threelevels:childassessedanalyzedCommunityHumanDevelopmentIndexurban/rurallocationtypePoissonregressionmodelsfitRESULTS:samplesize27540schools13highest171%123-227%disadvantaged539%460-616%increasedprobabilitydecreasedPR = 08-1Ruralaverage2-7urban3-4HigherPR = 33-3ruralGreater6experiencewhosecaregiverssecondaryeducationallevelCONCLUSIONS:stronghealthspecificallyonesstudiedChilenotableaccordingadvantageRuralityconsistentpredictorsStructuralexplainamongChildrenInequalitiesRiskfactors

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