Cognitive performance of 4-6-year-old children: a longitudinal study

  • Nur Handayani Utami Department of Nutrition, Faculty of Medicine, Universitas Indonesia
  • Rini Sekartini Department of Child Health, Faculty of Medicine Universitas Indonesia, Dr. Cipto Mangunkusumo General National Hospital, Jakarta, Indonesia http://orcid.org/0000-0001-9859-5468
  • Risatianti Kolopaking Faculty of Psychology, Syarif Hidayatullah State Islamic University https://orcid.org/0000-0003-0969-9295
  • Besral Besral Department of Biostatistics, Faculty of Public Health, Universitas Indonesia https://orcid.org/0000-0001-8140-7467
  • Helda Khusun SEAMEO RECFON (Southeast Asian Ministers of Education Organization Regional Centre for Food and Nutrition), Central Jakarta, Indonesia https://orcid.org/0000-0002-3093-0175
Keywords: determinant factors; children; cognitive development; longitudinal study

Abstract

Background Many children in low and middle-income countries (LMIC) have reduced cognitive abilities, but few studies have explored the influencing factors.

Objective To determine the determinants of children's low cognitive development at 4 to 6-year-old.

Methods This is a retrospective cohort study in year 2021. The data was obtained from Bogor Longitudinal Study of Child Growth and Development (BLSCGD) that started from year 2012. For this analysis, we considered 165 of children aged 4-6 years. The dependent variable in this analysis was cognitive development as measured by the Indonesian Wechsler Preschool and Primary Scale of Intelligence (WPPSI) with the indicators of full-scale IQ (FSIQ), verbal IQ (VIQ) and performance IQ (PIQ). The independent variables were determinants of children’s cognitive development at 4-6 years, consisted of socio-demographic factors, determinants from early life (0-23 months), as well as determinants from current conditions. Multivariate analysis done with the logistic regression test.

Results Bivariate analysis revealed that paternal education level was significantly associated with FSIQ and inadequate calorie intake in infancy and poor child stimulation were significantly associated with VIQ. In the final model of multivariate analysis, low paternal education level retained a significant association with FSIQ. Psychosocial stimulation was significantly associated with VIQ and inadequate calorie intake during infancy was significantly associated with PIQ.

Conclusion Low paternal education level and inadequate psychosocial stimulation are risk factors for reduced child cognitive development in 4-6-year-olds. Inadequate calorie intake in infancy even though not statistically significant it has high OR values for low VIQ and PIQ, thus the results showed the importance of calory intake in infancy.

References

Cusick SE, Georgieff MK. The role of nutrition in brain development: The golden opportunity of the ‘First 1000 Days’ brain development in late fetal and early postnatal life. J Pediatr. 2016;175:16–21. DOI: https://doi.org/ 10.1016/j.jpeds.2016.05.013
2. Drago F, Scharf RJ, Maphula A, Nyanthi E, Mahopo TC, Svensen E, et al. Psychosocial and environmental determinants of child cognitive development in rural south africa and tanzania: Findings from the mal-ed cohort. BMC Public Health. 2020;20:1–8. DOI: https://doi.org/ 10.1186/s12889-020-08598-5.
3. Lu C, Black MM, Richter LM. Risk of poor development in young children in low-income and middle-income countries: an estimation and analysis at the global, regional, and country level. Lancet Glob Heal [Internet]. 2016;4:e916–22. DOI: https://doi.org/10.1016/S2214-109X(16)30266-2.
4. Black MM. Impact of nutrition on growth, brain, and cognition. Nestle Nutr Inst Workshop Ser. 2018;89:185–95. DOI: https://doi.org/10.1159/000486502.
5. Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B. Developmental potential in the first 5 years for children in developing countries. Lancet. 2007;369:60–70. DOI: https://doi.org/ 10.1016/S0140-6736(07)60032-4.
6. Gibson R. An interactive 24-hour recall of assessing the adequacy of iron and zinc intakes in developing countries. Heat Transfer Engineering. 1989;10:60–2. PMID: 10794906.
7. Staf LPSP3 Fakultas Psikologi UI. Manual Test WPPSI 1. Depok: NAMA PENERBIT; TAHUN TERBITAN. p. 1–67.
8. Tanjung ICD, Sekartini R, Gunardi H, Nurdin A. Stimulation and cognitive function in short-stature preschoolers. Paediatr Indones. 2021;61:74–81. DOI: https://doi.org/10.14238/pi61.2.2021.74-81.
9. Siswanto D. Buku studi diet total: Survei konsumsi makanan individu Indonesia 2014. Jakarta: Lembaga Penerbit Balitbangkes Kemenkes RI; 2014. p. 210.
10. Dirjen Kesehatan Masyarakat, Kementrian Kesehatan Republik Indonesia. Hardinsyah dkk, editor. Prosiding WNPG XI, Bidang 1?: Peningkatan gizi masyarakat. Jakarta: Pustaka Sinar Harapan; 2019. 481 p. 481.
11. Bradley RH, Putnick DL. Housing quality and access to material and learning resources within the home environment in developing countries. Child Dev. 2012;83:76–91. DOI: https://doi.org/ 10.1111/j.1467-8624.2011.01674.x
12. Hastuti D, Femanti D, Guhardja S. Kualitas lingkungan pengasuhan dan perkembangan sosial emosi anak usia balita di daerah rawan pangan. Jur Ilm Kel Kons. 2011;4:57–65. DOI: https://doi.org/10.24156/jikk.2011.4.1.57.
13. WHO. A user’s guide to the Self Reporting Questionnaire (SRQ). Beusenberg M, Orley J, editors. Geneva: WHO; 1994. p. 1-73.
14. Schady N. Parents’ education, mothers’ vocabulary, and cognitive development in early childhood: Longitudinal evidence from Ecuador. Am J Public Health. 2011;101:2299–307. DOI: https://dx.doi.org/ 10.2105/AJPH.2011.300253.
15. Lawlor DA, Batty D, Morton SMB, Deary IJ, Macintyre S, Ronalds G, et al. Early life predictors of childhood intelligence: evidence from the Aberdeen children of the 1950s study. J Epidemiol Community Heal [Internet]. 2005;59:656–63. DOI: https://doi.org/10.1136/jech.2004.030205.
16. Girerd-Barclay E. Taking action: Nutrition for survival, growth & development [cited TAHUN BULAN TANGGAL]. 2010. Available from: http://www.who.int/pmnch/topics/child/acf_whitepaper.pdf
17. Jednoróg K, Altarelli I, Monzalvo K, Fluss J, Dubois J, Billard C, et al. The influence of socioeconomic status on children’s brain structure. PLoS One. 2012;7:1–9. DOI: https://doi.org/ 10.1371/journal.pone.0042486.
18. Luthar S, Cicchetti D, Becker B. Socioeconomic status and the brain: mechanistic insights from human and animal research. Child Dev. 2000;73:543–562. DOI: https://doi.org/10.1038/nrn2897.Socioeconomic.
19. Raizada RDS, Kishiyama MM. Effects of socioeconomic status on brain development, and how cognitive neuroscience may contribute to levelling the playing field. Front Hum Neurosci. 2010;4:1–11. DOI: https://doi.org/ 10.3389/neuro.09.003.2010.
20. Stevens C, Lauinger B, Neville H. Differences in the neural mechanisms of selective attention in children from different socioeconomic backgrounds: An event- related brain potential study. Dev Sci. 2009;12:634–46. DOI: https://doi.org/ 10.1111/j.1467-7687.2009.00807.x.Differences.
21. Walker SP, Wachs TD, Gardner JM, Lozoff B, Wasserman GA, Pollitt E CJ and international child development steering group. Child development risk factors for adverse outcomes in developing countries. Lancet. 2007;369:145–57. DOI: https://doi.org/ 10.1016/0315-0860(79)90130-7.
22. Kagitcibasi C, Sunar D, Bekman S. Long-term effects of early intervention: Turkish low-income mothers and children. J Appl Dev Psychol. 2001;22:333–61. DOI: https://doi.org/ 10.1016/S0193-3973(01)00071-5.
23. Magwaza AS, Edwards SD. An evaluation of an integrated parent-effectiveness training and children’s enrichment programme for disadvantaged families. South African J Psychol. 1991;21:21–5. DOI: https://doi.org/ 10.1177/008124639102100103.
24. Walker SP, Chang SM, Powell CA, Grantham-McGregor SM. Effects of early childhood psychosocial stimulation and nutritional supplementation on cognition and education in growth-stunted Jamaican children: Prospective cohort study. Lancet. 2005;366:1804–7. DOI: https://doi.org/ 10.1016/S0140-6736(05)67574-5.
25. Steiner P. Brain fuel utilization in the developing brain. Ann Nutr Metab. 2020;75(Suppl1):8–18. DOI: https://doi.org/ 10.1159/000508054.
26. Mattson MP. The impact of dietary energy intake on cognitive aging. Front Aging Neurosci. 2010;2:1–12. DOI: https://dx.doi.org/ 10.3389/neuro.24.005.2010.
Published
2023-04-06
How to Cite
1.
Utami NH, Sekartini R, Kolopaking R, Besral B, Khusun H. Cognitive performance of 4-6-year-old children: a longitudinal study. PI [Internet]. 6Apr.2023 [cited 28Mar.2024];63(2):65-2. Available from: https://paediatricaindonesiana.org/index.php/paediatrica-indonesiana/article/view/3204
Section
Articles
Received 2022-10-05
Accepted 2022-11-21
Published 2023-04-06