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Mental health problems, low birthweight and academic achievement in mathematics and reading

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Abstract

The objective of the study is to investigate the role of mental health in the relationship between moderately low birthweight MLBW (≥ 1500 g &≤2500) and academic achievement in a large cross-country study. Data were drawn from the School Children Mental Health in Europe study (n = 4305). Achievement in mathematics and reading was categorized by teachers as being below average, average or above average. Parents reported birthweight, and both parents and teachers evaluated mental health status using the Strengths and difficulties Questionnaire. When controlling for child age, number of children in the household, maternal age, education, employment status and psychological distress and country of residence, MLBW was associated with lower odds of above average performance in mathematics and reading. Once mental health was added into the model, MLBW remained significant but mental health problems largely surpassed its influence: conduct disorders decreased the probability to perform above average in mathematics RRR = 0.37 and increased the risk of performing below average RRR = 4.45 as did ADHD and emotional disorders. A similar trend was found for reading achievement except for ADHD which decreased the probability of above average performance RRR = 0.13 and did not have a significant effect on below average performance. A path analysis highlights the prominent role of mental health. Among children attending regular education settings, MLBW is associated with academic performance but mental health has much stronger effects. Teachers and parents should be sensitized to child mental health problems and be informed of the special needs of MLBW children in order to help children overcome potential academic difficulties and to adapt their teaching taking into account mental health problems.

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References

  • Bhutta, A. T., Cleves, M. A., Casey, P. H., Cradock, M. M., & Anand, K. (2002). Cognitive and behavioral outcomes of school-aged children who were born preterm: A meta-analysis. JAMA, 288(6), 728–737.

    Article  Google Scholar 

  • Blencowe, H., Cousens, S., Oestergaard, M. Z., Chou, D., Moller, A.-B., Narwal, R., ... Say, L. (2012). National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: A systematic analysis and implications. The Lancet, 379(9832), 2162–2172.

  • Boardman, J. D., Powers, D. A., Padilla, Y. C., & Hummer, R. A. (2002). Low birth weight, social factors, and developmental outcomes among children in the United States. Demography, 39(2), 353–368.

    Article  Google Scholar 

  • Breslau, N., Brown, G. G., DelDotto, J. E., Kumar, S., Ezhuthachan, S., Andreski, P., & Hufnagle, K. G. (1996). Psychiatric sequelae of low birth weight at 6 years of age. Journal of Abnormal Child Psychology, 24(3), 385–400.

    Article  Google Scholar 

  • Breslau, N., Johnson, E. O., & Lucia, V. C. (2001). Academic achievement of low birthweight children at age 11: the role of cognitive abilities at school entry. Journal of Abnormal Child Psychology, 29(4), 273–279

  • Breslau, N., Paneth, N. S., & Lucia, V. C. (2004). The lingering academic deficits of low birth weight children. Pediatrics, 114(4), 1035–1040.

    Article  Google Scholar 

  • Cutland, C. L., Lackritz, E. M., Mallett-Moore, T., Bardají, A., Chandrasekaran, R., Lahariya, C., ... Brighton Collaboration Low Birth Weight Working, G. (2017). Low birth weight: Case definition & guidelines for data collection, analysis, and presentation of maternal immunization safety data. Vaccine, 35(48 Pt A), 6492–6500. https://doi.org/10.1016/j.vaccine.2017.01.049

  • Deighton, J., Humphrey, N., Belsky, J., Boehnke, J., Vostanis, P., & Patalay, P. (2018). Longitudinal pathways between mental health difficulties and academic performance during middle childhood and early adolescence. British Journal of Developmental Psychology, 36(1), 110–126.

    Article  Google Scholar 

  • Elgen, I., Sommerfelt, K., & Markestad, T. (2002). Population based, controlled study of behavioural problems and psychiatric disorders in low birthweight children at 11 years of age. Archives of Disease in Childhood. Fetal and Neonatal Edition, 87(2), F128–F132.

    Article  Google Scholar 

  • Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38(5), 581–586 Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/9255702.

    Article  Google Scholar 

  • Goodman, R. (2001a). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child and Adolescent Psychiatry, 40(11), 1337–1345.

    Article  Google Scholar 

  • Goodman, R. (2001b). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child and Adolescent Psychiatry, 40(11), 1337–1345. https://doi.org/10.1097/00004583-200111000-00015.

    Article  PubMed  Google Scholar 

  • Goodman, R., Renfrew, D., & Mullick, M. (2000). Predicting type of psychiatric disorder from strengths and difficulties questionnaire (SDQ) scores in child mental health clinics in London and Dhaka. European Child & Adolescent Psychiatry, 9(2), 129–134.

    Article  Google Scholar 

  • Grover, R. L., Ginsburg, G. S., & Ialongo, N. (2005). Childhood predictors of anxiety symptoms: A longitudinal study. Child Psychiatry and Human Development, 36(2), 133–153. https://doi.org/10.1007/s10578-005-3491-3.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hack, M., Klein, N. K., & Taylor, H. G. (1995). Long-term developmental outcomes of low birth weight infants. The Future of Children, 176–196.

  • Harlaar, N., Kovas, Y., Dale, P. S., Petrill, S. A., & Plomin, R. (2012). Mathematics is differentially related to reading comprehension and word decoding: Evidence from a genetically-sensitive design. Journal of Educational Psychology, 104(3). https://doi.org/10.1037/a0027646.

  • Huang, C. (2015). Academic achievement and subsequent depression: A meta-analysis of longitudinal studies. Journal of Child and Family Studies, 24, 434–442.

    Article  Google Scholar 

  • Husky, M. M., Otten, R., Boyd, A., Pez, O., Bitfoi, A., Carta, M. G., et al. (2018). Psychometric properties of the strengths and difficulties questionnaire in children aged 5–12 years across seven European countries. European Journal of Psychological Assessment. https://doi.org/10.1027/1015-5759/a000489.

  • Jefferis, B. J., Power, C., & Hertzman, C. (2002). Birth weight, childhood socioeconomic environment, and cognitive development in the 1958 British birth cohort study. BMJ, 325(7359), 305.

    Article  Google Scholar 

  • Kessler, R. C., Foster, C. L., Saunders, W. B., & Stang, P. E. (1995). Social consequences of psychiatric disorders, I: Educational attainment. American Journal of Psychiatry, 152(7), 1026–1032.

    Article  Google Scholar 

  • Kovess, V. (2004). The State of Mental Health in the European Union. Retrieved from Luxemburg:

  • Kovess, V., Carta, M. G., Pez, O., Bitfoi, A., Koç, C., Goelitz, D., ... Otten, R. (2015). The school children mental health in Europe (SCMHE) project: Design and first results. Clinical Practice and Epidemiology in Mental Health : CP & EMH, 11(Suppl 1 M7), 113-123. https://doi.org/10.2174/1745017901511010113.

  • Kovess-Masfety, V., Husky, M. M., Keyes, K., Hamilton, A., Pez, O., Bitfoi, A., Carta, M. G., Goelitz, D., Kuijpers, R., Otten, R., Koç, C., Lesinskiene, S., & Mihova, Z. (2016). Comparing the prevalence of mental health problems in children 6-11 across Europe. Social Psychiatry and Psychiatric Epidemiology, 51(8), 1093–1103. https://doi.org/10.1007/s00127-016-1253-0.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kovess-Masfety, V., Van Engelen, J., Stone, L., Otten, R., Carta, M. G., Bitfoi, A., ... Husky, M. (2017). Unmet need for specialty mental health services among children across Europe. Psychiatric Services, 68(8), 789–795. https://doi.org/10.1176/appi.ps.201600409.

  • Lee, A. C. C., Katz, J., Blencowe, H., Cousens, S., Kozuki, N., Vogel, J. P., ... Black, R. E. (2013). National and regional estimates of term and preterm babies born small for gestational age in 138 low-income and middle-income countries in 2010. The Lancet Global Health, 1(1), e26-e36. https://doi.org/10.1016/S2214-109X(13)70006-8.

  • Loe, I. M., & Feldman, H. M. (2007). Academic and educational outcomes of children with ADHD. Journal of Pediatric Psychology, 32(6), 643–654.

    Article  Google Scholar 

  • McCabe, C., Thomas, K., Brazier, J., & Coleman, P. (1996). Measuring the mental health status of a population: A comparison of the GHQ-12 and the SF-36 (MHI-5). The British Journal of Psychiatry, 169(4), 516–521.

    Article  Google Scholar 

  • McGee, R., Prior, M., Williams, S., Smart, D., & Sanson, A. (2002). The long-term significance of teacher-rated hyperactivity and reading ability in childhood: Findings from two longitudinal studies. Journal of Child Psychology and Psychiatry, 43(8), 1004–1017.

    Article  Google Scholar 

  • McLoyd, V. C. (1998). Socioeconomic disadvantage and child development. American Psychologist, 53(2), 185–204.

    Article  Google Scholar 

  • Metsäpelto, R.-L., Pakarinen, E., Kiuru, N., Poikkeus, A.-M., Lerkkanen, M.-K., & Nurmi, J.-E. (2015). Developmental dynamics between children’s externalizing problems, task-avoidant behavior, and academic performance in early school years: A 4-year follow-up. Journal of Educational Psychology, 107(1), 246.

    Article  Google Scholar 

  • Nelson, J. R., Benner, G. J., Lane, K., & Smith, B. W. (2004). Academic achievement of K-12 students with emotional and behavioral disorders. Exceptional Children, 71(1), 59–73.

    Article  Google Scholar 

  • OECD. (2017). PISA 2015 Results (Volume I) Excellence and Equity in Education. Retrieved from https://www.oecd.org/education/pisa-2015-results-volume-i-9789264266490-en.htm

  • Polderman, T. J. C., Boomsma, D. I., Bartels, M., Verhulst, F. C., & Huizink, A. C. (2010). A systematic review of prospective studies on attention problems and academic achievement. Acta Psychiatrica Scandinavica, 122(4), 271–284.

    Article  Google Scholar 

  • Ruijsbroek, A., Wijga, A. H., Gehring, U., Kerkhof, M., & Droomers, M. (2015). School performance: A matter of health or socio-economic background? Findings from the PIAMA birth cohort study. PLoS One, 10(8), e0134780. https://doi.org/10.1371/journal.pone.0134780.

    Article  PubMed  PubMed Central  Google Scholar 

  • Sykes, D. H., Hoy, E. A., Bill, J. M., McClure, B. G., Halliday, H. L., & Reid, M. M. (1997). Behavioural adjustment in school of very low birthweight children. Journal of Child Psychology and Psychiatry, 38(3), 315–325.

    Article  Google Scholar 

  • Tate, A. R., Dezateux, C., Cole, T. J., & Davidson, L. (2005). Factors affecting a mother's recall of her baby's birth weight. International Journal of Epidemiology, 34(3), 688–695.

    Article  Google Scholar 

  • Tosto, M. G., Momi, S. K., Asherson, P., & Malki, K. (2015). A systematic review of attention deficit hyperactivity disorder (ADHD) and mathematical ability: Current findings and future implications. BMC Medicine, 13(1), 204.

    Article  Google Scholar 

  • Undheim, A. M., & Sund, A. M. (2008). Psychosocial factors and reading difficulties: Students with reading difficulties drawn from a representative population sample. Scandinavian Journal of Psychology, 49(4), 377–384.

    Article  Google Scholar 

  • Valdez, C. R., Lambert, S. F., & Ialongo, N. S. (2011). Identifying patterns of early risk for mental health and academic problems in adolescence: A longitudinal study of urban youth. Child Psychiatry and Human Development, 42(5), 521–538.

    Article  Google Scholar 

  • Wardlaw, T. M. (2004). Low birthweight: country, regional and global estimates: UNICEF.

  • Ware, J. E., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30(6), 473–483.

    Article  Google Scholar 

  • Ware, J. E., Kosinski, M., & Keller, S. (1994). SF-36 physical and mental component summary measures: A user’s manual. Boston: The Health Institute, New England Medical Center.

    Google Scholar 

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Funding was provided by Directorate-General for Health and Consumers (Grant no. 2006336).

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Correspondence to Viviane Kovess-Masfety.

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Kovess-Masfety, V., Ester, W.A., Wild, K. et al. Mental health problems, low birthweight and academic achievement in mathematics and reading. Curr Psychol 41, 2810–2820 (2022). https://doi.org/10.1007/s12144-020-00674-8

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