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Relationship between socioeconomic factors and intelligence of preschoolers: A cohort study in the Serbian context

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Abstract

The aim of the current research is to analyse the relationship between the socioeconomic status (SES) of parents and intellectual abilities (IQ) of preschool children of Serbian territory, and in particular how SES factors relate to preschool children’s IQ measured with Raven’s Coloured Progressive Matrices (CPM), in the different age groups. The research included 430 parents and 430 preschool children. A confirmatory factor analysis of the SES questionnaire revealed five factors: educational and professional status of father and mother, residential and educational status of the family, sport status of parents and comfort of family housing. No gender differences in IQ levels were found in children. Multiple linear regression at four age groups showed that the educational status of the parents and residential and educational status of the family was positively correlated with the IQ at the older groups of preschool children. Two groups of children with the lowest and highest Raven’s CPM scores (1st and 4th quartiles) were used in the Logistic Regression, which determined the significant predictive value of SES factor in children with low Raven’s CPM scores. The results of the current research are in line with other studies on the topic, emphasizing the critical role of social environment for cognitive abilities of children.

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  1. For example, neurophysiological studies emphasized that SES influences neural development through different environmental aspects, for instance, prenatal factors, parental care and cognitive stimulations, nutrition, drug and alcohol abuse and many others.

  2. There could be an interaction between the factors of the child’s environment and genetic inheritance from their parents that is most commonly represented as linear, although researchers are aware of potential existence of nonlinear effects, moderator effect and the effects of SES that are not straightforward as it was previously thought.

  3. In accordance with the legislation of the Republic of Serbia, preschool age is 3 to 7 years of age and is usually divided into younger children from 3 to 4 years, middle aged from 4 to 5 years and older from 5 to 6 until the child has left school. In this paper, the expression “preschool age” refers to the children of the oldest preschool population: children from 5 to 7 years old.

References

  • Azad, G., Blacher, J., & Marcoulides, G. (2014). Longitudinal models of socio-economic status: Impact on positive parenting behaviors. International Journal of Behavioral Development, 38(6), 509–517. https://doi.org/10.1177/0165025414532172.

    Article  Google Scholar 

  • Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371–399. https://doi.org/10.1146/annurev.psych.53.100901.135233.

    Article  PubMed  Google Scholar 

  • Braswell, G. (2017). Preschool children’s participation in representational and non-representational activities. Journal of Early Childhood Research, 15(2), 195–211. https://doi.org/10.1177/1476718X15614043.

    Article  Google Scholar 

  • Campbell, E. E., Gilliland, J., Dworatzek, P. D. N., de Vrijer, B., Penava, D., & Seabrook, J. A. (2018). Socioeconomic status and adverse birth outcomes: A population-based Canadian sample. Journal of Biosocial Science, 50, 102–113. https://doi.org/10.1017/S0021932017000062.

    Article  PubMed  Google Scholar 

  • Chen, R., Kessler, R. C., Sadikova, E., NeMoyer, A., Sampson, N. A., Alvarez, K., ... & Alegría, M. (2019). Racial and ethnic differences in individual-level and area-based socioeconomic status and 12-month DSM-IV mental disorders. Journal of Psychiatric Research, 119, 48–59.

  • Christoffersen, M. N. (2012). A study of adopted children, their environment, and development: A systematic review. Adoption Quarterly, 15(3), 220–237. https://doi.org/10.1080/10926755.2012.700002.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Erlbaum Available at http://www.utstat.toronto.edu/~brunner/oldclass/378f16/readings/CohenPower.pdf.

  • Coleman, B., & Dyment, E. (2013). Factors that limits and enable preschool-aged children’s physical activity on child care centers playgrounds. Journal of Early Childhood Research, 11(3), 203–221. https://doi.org/10.1177/1476718X12456250.

    Article  Google Scholar 

  • Duyme, M., Dumaret, A.-C., & Tomkiewicz, S. (1999). How can we boost IQs of “dull children”?: A late adoption study. Proceedings of the National Academy of Sciences of the USA, 96, 8790–8794 Available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC17595/.

    Article  Google Scholar 

  • Fajgelj, S., Bala, G., & Katić, R. (2010). Latent structure of Raven’s colored progressive matrices. Collegium Antropologicum, 34(3), 1015–1026.

    PubMed  Google Scholar 

  • Hackman, D., Farah, M., & Meaney, M. (2010). Socioeconomic status and the brain: Mechanistic insights from human and animal research: Nature reviews. Neuroscience, 11, 651–659. https://doi.org/10.1038/nrn2897.

    Article  PubMed  Google Scholar 

  • Hanscombe, H., Trzaskowski, M., Haworth, M., Davis, O., Dale, P., & Plomin, R. (2012). Socioeconomic status (SES) and Children’s intelligence (IQ): In a UK representative sample SES moderates the environmental, not genetic, effect on IQ. PLoS One, 7(2). https://doi.org/10.1371/journal.pone.0030320.

  • Hošek, A. (2004). Elementi sociologije sporta II. Socijalni status i sport [Elements of sports sociology II. Socioeconomic status and sport. In Serbian]”. Leposavić: Faculty of Physical Education.

  • Hošek-Momirović, A., & Bala, G. (2007). Socioekonomski status predškolske dece [socioeconomic status of the preschool children. In Serbian] In: G Bala (ed) Antropološke karakteristike i sposobnosti predškolske dece [anthropological characteristics and abilities of preschool children. In Serbian] (pp. 299–330). Novi Sad: Faculty of Sport and Physical Education.

  • Jednoróg, K., Altarelli, I., Monzalvo, K., Fluss, J., Dubois, J., Billard, C., et al. (2012). The influence of socioeconomic status on children's brain structure. PLoS One, 7(8), e42486. https://doi.org/10.1371/annotation/47661de2-2c53-4396-9f88-06b5ad233566.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kline, P. (1991). Intelligence: The psychometric view. London: Routledge.

    Google Scholar 

  • Lazić, M. (2011), Postsocialist transformation and re-stratification in Serbia. Politička misao, god. 48, no. 3, 2011, pp. 123-144.

  • Lukić, V. (2016). Two decades of Refugeeism in Serbia. Belgrade: Statistical Office of the Republic of Serbia.

    Google Scholar 

  • Machlin, L., McLaughlin, K. A., & Sheridan, M. A. (2020). Brain structure mediates the association between socioeconomic status and attention-deficit/hyperactivity disorder. Developmental Science, 23(1), e12844.

    Article  Google Scholar 

  • Makharia, A., Nagarajan, A., Mishra, A., Peddisetty, S., Chahal, D., & Singh, Y. (2016). Effect of environmental factors on intelligence quotient of children. Industrial Psychiatry Journal, 25(2), 189–194. https://doi.org/10.4103/ipj.ipj_52_16.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mayer, E. S. (2002). The influence of parental income on Children’s outcomes. Wellington: Knowledge Management Group, Ministry of Social Development.

    Google Scholar 

  • Milošević, Z., Maksimović, N., Milovanović, I., Matić, R., Jakšić, D., & Vuković, J. (2016). Socio-economic characteristics of families and physical activities of children. EQOL Journal, 8(2), 3–8. https://doi.org/10.31382/eqol.161201.

    Article  Google Scholar 

  • Mollborn, S., Lawrence, E., James-Hawkins, L., & Fomby, P. (2014). When do socioeconomic resources matter Most in early childhood? Advances in Life Course Research, 20, 56–59. https://doi.org/10.1016/j.alcr.2014.03.001.

    Article  PubMed  PubMed Central  Google Scholar 

  • Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F., & Turkheimer, E. (2012). Intelligence – New findings and theoretical developments. American Psychologist, 67(2), 130–159. https://doi.org/10.1037/a0026699.

    Article  Google Scholar 

  • Petrill, S. A., Pike, A., Price, T., & Plomin, R. (2004). Chaos in the home and socioeconomic status are associated with cognitive development in early childhood: Environmental mediators identified in a genetic design. Intelligence, 32(5), 445–460.

    Article  Google Scholar 

  • Piccolo, L., Arteche, A. X., Fonseca, R. P., Grassi-Oliveira, R., & Salles, J. F. (2016). Influence of family socioeconomic status on IQ, language, memory and executive functions of Brazilian children. Psicologia: Reflexão e Crítica, 29(23), 1–10. https://doi.org/10.1186/s41155-016-0016-x.

    Article  Google Scholar 

  • Plomin, R., & Deary, I. J. (2015). Genetics and intelligence differences: Five special findings. Molecular Psychiatry, 20, 98–108. https://doi.org/10.1038/mp.2014.105.

    Article  PubMed  Google Scholar 

  • Propper, C., & Rigg, J. (2007). Socio-economic status and child behavior: Evidence from contemporary UK cohort. London School of Economics: Centre for Analysis of Social Exclusion.

  • Pullmann, H., & Allik, J. (2008). Relations of academic and general self-esteem to school achievement. Personality and Individual Differences, 45(6), 559–564.

    Article  Google Scholar 

  • Raven, J.C. (1956). Uputstvo za korišćenje progresivnih matrica u boji, serija A, Ab, B. [Instructions for the use of progressive colour matrices, series A, Ab, B]. Beograd: Savez društava psihologa Srbije [Association of Psychologists of Serbia].

  • Raven, J. C. (1998). Raven's progressive matrices and vocabulary scales. Oxford Pyschologists Press.

  • Ronfani, L., Vecchi Brumatti, L., Mariuz, M., Tognin, V., Bin, M., Ferluga, V., et al. (2015). The complex interaction between home environment, socioeconomic status, maternal IQ and early child neurocognitive development: A multivariate analysis of data collected in a newborn cohort study. PLoS One, 10(5), 1–13. https://doi.org/10.1371/journal.pone.0127052.

    Article  Google Scholar 

  • Rosen, M. L., Hagen, M. P., Lurie, L. A., Miles, Z. E., Sheridan, M. A., Meltzoff, A. N., & McLaughlin, K. A. (2019). Cognitive stimulation as a mechanism linking socioeconomic status with executive function: A longitudinal investigation. Child Development.

  • Rowe, D. C., Jacobson, K. C., & Van den Oord, E. J. (1999). Genetic and environmental influences on vocabulary IQ: Parental education level as moderator. Child Development, 70, 1151–1162. https://doi.org/10.1111/1467-8624.00084.

    Article  PubMed  Google Scholar 

  • Sarsour, K., Sheridan, M., Jutte, D., Nuru-Jeter, A., Hinshaw, S., & Boyce, W. T. (2011). Family socioeconomic status and child executive functions: The roles of language, home environment, and single parenthood. Journal of the International Neuropsychological Society, 17(1), 120–132.

    Article  Google Scholar 

  • Shah, M., Atta, A., Qureshi, M. I., & Shah, H. (2012). Impact of socio economic status (SES) of family on the academic achievements of students. Gomal University Journal of Research, 28(1).

  • Sirin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75(3), 417–453. https://doi.org/10.3102/00346543075003417.

    Article  Google Scholar 

  • Solomon, S. R., & Sawilowsky, S. S. (2009). Impact of rank-based normalizing transformations on the accuracy of test scores. Journal of Modern Applied Statistical Methods, 8(2), 448–462 Available at: http://digitalcommons.wayne.edu/coe_tbf/5.

    Article  Google Scholar 

  • Strenze, T. (2007). Intelligence and socioeconomic success: A meta-analytic review of longitudinal research. Intelligence, 35, 401–426. https://doi.org/10.1016/j.intell.2006.09.004.

    Article  Google Scholar 

  • Turkheimer, E., Haley, A., Waldron, M., D’Onofrio, B., & Gottesman, I. (2003). Socioeconomic status modifies heritability of IQ in young children. Psychological Science, 14(6), 623–628. https://doi.org/10.1046/j.0956-7976.2003.psci_1475.x.

    Article  PubMed  Google Scholar 

  • UNHCR, CRRS. (1996). Census of refugees and other persons affected by war in the Federal Republic of Yugoslavia. Belgrade: Commissariat for Refugees of the Republic of Serbia and the Commissariat for Displaced Persons of the Republic of Montenegro.

    Google Scholar 

  • Vanderbilt-Adriance, E., & Shaw, D. (2008). Protective factors and the development of resilience in the context of neighborhood disadvantage. Journal of Abnormal Child Psychology, 36(6), 887–901. https://doi.org/10.1007/s10802-008-9220-1.

    Article  PubMed  PubMed Central  Google Scholar 

  • Von Stumm, S., & Plomin, R. (2015). Socioeconomic status and the growth of intelligence from infancy through adolescence. Intelligence, 48, 30–36. https://doi.org/10.1016/j.intell.2014.10.002.

    Article  Google Scholar 

  • Watkins, M. W. (2000). Monte Carlo PCA for parallel analysis [computer software]. State College PA: Ed & Psych Associates.

    Google Scholar 

  • White, K. (1982). The relation between socioeconomic status and academic achievement. Psychological Bulletin, 91(3), 461–481. https://doi.org/10.1037/0033-2909.91.3.461.

    Article  Google Scholar 

  • Yamamoto, Y. (2015). Social class and Japanese mothers’ support of young children’s education: A qualitative study. Journal of Early Childhood Research, 13(2), 165–180. https://doi.org/10.1177/1476718X13482303.

    Article  Google Scholar 

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Željko Krneta and Ivana Milovanović. The first draft of the manuscript was written by Ivana Milovanović, Milica Popović-Stijačić and Ambra Gentile, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Željko Krneta.

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Milovanović, I., Gentile, A., Popović-Stijačić, M. et al. Relationship between socioeconomic factors and intelligence of preschoolers: A cohort study in the Serbian context. Curr Psychol 41, 2615–2623 (2022). https://doi.org/10.1007/s12144-020-00781-6

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