Comparison of Intelligence based on Short-term Memory Test between Urban and Rural Children
Abstract
Background: Cognitive development occurs during childhood and this development is influenced by various environmental factors such as urban and rural environments which can affect child cognitive development. Short-term memory is very important as the first step in processing new information to do cognitive tasks. The aim of this study was to compare the short-term memory of children coming from an urban and rural area.
Methods: A cross-sectional design was performed in this observational analytical study, conducted from September to October 2014 in Jatinangor. Students from elementary school students in an urban and rural area in Jatinangor were selected, using a stratified random sampling method. The Digit Span Forward, Backward, and Symbol Digit Modality Test (SDMT) were used to measure short-term memory. Mann-Whitney test and independent T-test were used in this research.
Results: There was no significant difference in Digit Span Forward score between urban and rural boys (p=0.564); and girls group (p=0.982). On the contrary, Digit Span Backward score among urban boys (p=0.007) and urban girls (p=0.006) was significantly higher compared to those living in the rural areas. Similarly, a significantly higher score of SDMT in the urban areas was found compared to rural for boys (p=0.011) and girls (p=0.026).
Conclusions: Intelligence based on a short-term memory test, consisting of Digit Span Backward and Symbol Digit Modality Test, is higher in urban children compared to children in the rural areas.
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Ropper AH, Brown RH. Adams and Victor’s Principles of Neurology. Eigth edition ed. New York: McGraw-Hill Professional; 2005.
Sadock BJ, Sadock VA. Kaplan & Sadock’s Synopsis of Psychiatry: Behavioral Sciences/Clinical Psychiatry. 10th ed. Philadelphia: Lippincott Williams & Wilkins; 2007.
Santos MM, Corsi C, Marques LA, Rocha NA. Comparison of motor and cognitive performance of children attending public and private day care centers. Braz J Phys Ther. 2013;17(6):579–87.
Tine M. Working memory differences between children living in rural and urban poverty. J Cogn Dev. 2014;15(4):599–613.
Patel SA, Murray-Kolb LE, LeClerq SC, Khatry SK, Tielsch JM, Katz J, et al. Household wealth and neurocognitive development disparities among school-aged children in Nepal. Paediatr Perinat Epidemiol. 2013;27(6):575–86.
Warsito O, Khomsan A, Hernawati N, Anwar F. Relationship between nutritional status, psychosocial stimulation, and cognitive development in preschool children in Indonesia. Nutr Res Pract. 2012;6(5):451–7.
Hanscombe KB, Trzaskowski M, Haworth CMA, Davis OSP, Dale PS, Plomin R. Socioeconomic status (SES) and children’s intelligence (IQ): In a UK-representative sample SES moderates the environmental, not genetic, effect on IQ. PLoS One. 2012;7(2):e30320.
Postle BR, Pasternak T. Short term and working memory. In: Squire LR, editor. Encyclopedia of Neuroscience. San Diego, CA: Elsevier; 2009. p. 783–9.
Fornasari RdCCV, De Lima TF, Ciasca SM. Profile performance of working memory in children of elementary schools. Psychology. 2013;4(10):42–7.
Rodrigues A, Befi-Lopes DM. Short-term phonological memory in preschool children. Codas. 2013;25(5):422–8.
Majerus S, Van Der Linden M. Memory disorders in children. In: Dulac O, Lassone M, Sarnat HB, editors. Handbook of clinical neurology. Vol 111. Amsterdam: Elsevier; 2013. p. 251–5.
Woods DL, Kishiyama MM, Yund EW, Herron TJ, Edwards B, Poliva O, et al. Improving dgit span assessment of short-term verbal memory. J Clin Exp Neuropsychol. 2011;33(1):101–11.
Forn C, Belloch V, Bustamante JC, Garbin G, Parcet-Ibars MA, Sanjuan A, et al. A symbol digit modalities test version suitable for functional MRI studies. Neurosci Lett. 2009;456(1):11–4.
Li R, Qin W, Zhang Y, Jiang T, Yu C. The neuronal correlates of digits backward are revealed by voxel-based morphometry and resting-state functional connectivity analyses. PloS One. 2012;7(2):e31877.
Baron IS. Neuropsychological evaluation of the child. New York: Oxford University Press; 2004.
St Clair-Thompson HL, Allen RJ. Are forward and backward recall the same? A dual-task study of digit recall. Mem Cognit. 2013;41(4):519–32.
Kaneko H, Yoshikawa T, Nomura K, Ito H, Yamauchi H, Ogura M, et al. Hemodynamic changes in the prefrontal cortex during digit span task: a near-infrared spectroscopy study. Neuropsychobiology. 2011;63(2):59–65.
Stansfeld SA, Berglund B, Clark C, Lopez-Barrio I, Fischer P, Ohrstrom E, et al. Aircraft and road traffic noise and children’s cognition and health: a cross-national study. Lancet. 2005;365(9475):1942–9.
Gago D, de Almeida RMM. Effects of pleasant visual stimulation on attention, working memory, and anxiety in college students. Psychol Neurosci. 2013;6(3):351–5.
Giron PR, de Almeida RMM. Influence of aversive visual stimulation on attention, working memory, and anxiety in university students. Psychol Neurosci. 2010;3(1):109–15.
DOI: https://doi.org/10.15850/amj.v6n3.1613
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