Socioeconomic status is strongly associated with the cognitive ability and achievement during childhood. The purpose of the present study was to investigate the influence of age and socioeconomic status (SES) on learning ability among 5-10 years school going boys. A cross-sectional study was conducted on 322 school going boys from different districts of West Bengal state, India. The socio-economic status of the participants was evaluated by modified Kuppuswami scale. Learning ability of the participants was evaluated by Ray's auditory verbal learning test (RAVLT). The subjects were divided into lower, middle, upper SES groups. The results revealed that the 5 years old boys recalled significantly lesser words on each of the learning trials and showed significantly lower learning score compared to that of older boys. Age was significantly (P<0.001) and positively correlated with RAVLT performances. The participants belonged to the lower socioeconomic group recalled significantly lesser words on each of the learning trials and possessed significantly small¬er learning score compared to that of middle and upper socioeconomic groups. Correlation analysis demonstrated that socioeconomic status had significant and positive correlation with RAVLT performances. On the contrary, age and socioeconomic status had significant negative correlation with forgetful speed. Multiple regression analysis demonstrated that even after controlling for the effect of the age, socioeconomic status had strong significant impact on learning of trials (LOT) and recognition (REC).
| Published in | Advances in Applied Physiology (Volume 1, Issue 1) |
| DOI | 10.11648/j.aap.20160101.13 |
| Page(s) | 12-17 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Socioeconomic Status, Cross Sectional Study, Learning Abilities, Recognition
| [1] | Rahudkar WB. A scale for measuring socio-economic status of Indian farm families. Nay Agril Coll Mag, 1960; 34 |
| [2] | Parikh U, Trivedi G. Manual of socio-economic status scale (Rural), Manasayan, Delhi, 1964. |
| [3] | Alota S, Pandey RN, Kapoor SD, Singh RN. Socioeconomic status questionnaire (urban), psycho- Centre, New Delhi, 1970. |
| [4] | Kulshrestha SP, Day P. Socio-economic status scale (Urban) form-A, National Psychological Corporation, Agra, 1972. |
| [5] | Kuppuswamy B. Manual of Socioeconomic Status (urban), Manasayan, Delhi, 1981. |
| [6] | Srivastava GP. Socio-economic status scale (Urban), National Psychological Corporation, Agra, 1978. |
| [7] | Bhardwaj RL. Manual for socio-economic status scale. National Psychological Corporation, Agra, 2001. |
| [8] | Evans GW.The environment of childhood poverty. Am psychol. 2014; 59: 77-92. |
| [9] | Brady-Smith C, Fauth, R, Brooks-Gunn J. Poverty and education: Children and adolescents. In Guthrie JW, editor, Encyclopedia of education. New York: Macmillan; 2002; 1910-1915. |
| [10] | Hackman DA, Farah MJ, Meaney MJ. Socioeconomic status and the brain: Insights from human and animal research. Nat Rev. 2010; 11: 651-9. |
| [11] | American Psychological Association. [Internet]. Washington, DC: The Association; [cited 2013 Apr 2]. Children, Youth, Families, and Socioeconomic Status [about 3 screens]. Available from: http://www.apa.org/pi/ses/resources/publications/factsheet-cyf.aspx. |
| [12] | de Kloet ER, Joëls M, Holsboer F. Stress and the brain: from adaptation to disease. Nat Rev Neurosci. 2005; 6(6): 463-75. |
| [13] | American Psychological Association. [Internet]. Washington, DC: Association. [Updated 2013Jan; cited 2013 Apr 2]. Neurobehavioral effects of poverty. The SES Indicator [about 5 screens]. Available from: http://www.apa.org/pi/ses/resources/indicator/2013/01/poverty-behaviors.aspx. |
| [14] | Cabeza R, Kingstone A, eds. Handbook of functional neuroimaging of cognition, 2nd ed. Cambridge, MA: MIT Press; 2006. |
| [15] | Mueller CW, Parcel TL. Measures of socioeconomic status: Alternatives and recommendations. Child Development. 1981; 52(1): 13-30. |
| [16] | Squire LR, Wixted JT. The cognitive neuroscience of human memory since H.M. Annu Rev Neurosci.2011; 34: 259-88. |
| [17] | Herrmann D, Guadagno MA. Memory performance and Socio-Economic Status. Appl Cognit Psychol. 1997; 11(2): 113-120. |
| [18] | Xavier GF. A Modularidade da memória e o sistema nervoso. Psicologia USP 1993; 4: 61-115. |
| [19] | Baddeley A, Hitch G. Working memory. In: Bower GH (Ed). The psychology of learning and motivation. New York: Academic Press, 1974: 47-89 |
| [20] | Spreen O, Strauss, E. A Compendium of neuropsychological tests. 2nd Ed. New York: Oxford University Press, 1998: 326-337. |
| [21] | Rey A. L`éxamen clinique en psychologie. Paris: Press Universitaire de France, 1958. |
| [22] | Kumar BP R, Shankar Reddy Dudala S R, AR Rao A R. Kuppuswamy’s Socio-Economic Status Scale - a revision of economic parameter for 2012. International Journal of Research & Development of Health. 2013; 1(1): 2-4. |
| [23] | Bleecker ML, Bolla-Wilson K, Agnew J, Meyers DA. Age-related sex differences in verbal memory. J Clin Psychol 1988; 44: 403-411. |
| [24] | Uchiyama CL, D’Elia LF, Dellinger AM, et al. Alternate forms of the Auditory-Verbal Learning Test: issues of test compara¬bility, longitudinal reliability and moderating demographic variables. Arch Clin Neuropsychol 1995; 10: 133-145. |
| [25] | Elst W, Boxtel MPJ, Breukelen GJP. Rey’s verbal learning test: normative data for 1855 healthy participants aged 24-81 years and the influence of age, sex, education, and mode of presen¬tation. J Intern Neuropsychol Soc 2005; 11: 290-302. |
| [26] | Baddeley A. The episodic buffer: a new component of work¬ing memory? Trends Cogn Sci 2000; 4: 417-423. |
| [27] | Query WT, Berger RA. ALVT memory scores as a function of age among general medical, neurologic and alcoholic patients. J Clin Psychol 1980; 36: 1009-1012. |
| [28] | Adler NE, Rehkopf DF. US disparities in health: descriptions, causes and mechanisms. Annu. Rev. Public Health. 2008; 29: 235–252. |
| [29] | Duncan GJ, Brooks-Gunn J, Klebanov PK. Economic deprivation and early childhood development. Child Dev. 1994; 65: 296–318. |
| [30] | Noble KG, McCandliss BD, Farah MJ. Socioeconomic gradients predict individual differences in neurocognitive abilities. Dev. Sci. 2007; 10: 464–480. |
| [31] | Sirin SR. Socioeconomic status and academic achievement: a meta-analytic review of research. Rev. Educ. Res. 2005; 75: 417–453. |
| [32] | Merikangas KR, He JP, Brody D, Fisher PW, Bourdon K, Koretz DS Prevalence and treatment of mental disorders among US children in the 2001–2004 NHANES. Pediatrics. 2010; 125: 75–81. |
| [33] | Goodman E, Slap GB, Huang B. The public health impact of socioeconomic status on adolescent depression and obesity. Am. J. Public Health. 2003; 93: 1844–1850. |
| [34] | Shanahan L, Copeland W, Costello EJ, Angold A. Specificity of putative psychosocial risk factors for psychiatric disorders in children and adolescents. J. Child Psychol. Psychiatry. 2008; 49: 34–42. |
| [35] | Tracy M, Zimmerman FJ, Galea S, McCauley E, Vander Stoep A. What explains the relation between family poverty and childhood depressive symptoms? J. Psychiatr. Res. 2008; 42: 1163–1175. |
| [36] | Brooks-Gunn J, Duncan GJ. The effects of poverty on children. Future Child. 1997; 7: 55–71. |
| [37] | McLoyd VC. Socioeconomic disadvantage and child development. Am. Psychol. 1998; 53: 185–204. |
| [38] | Sirin SR. Socioeconomic status and academic achievement: a meta-analytic review of research. Rev. Educ. Res. 2005; 75: 417–453. |
| [39] | Guo G, Mullan-Harris KM. The mechanisms mediating the effects of poverty on children’s intellectual development. Demography. 2000; 37: 431–437. |
| [40] | Farah MJ, et al. Childhood poverty: specific associations with neurocognitive development. Brain Res.2006; 1110: 166–174. |
| [41] | Noble KG, Norman MF, Farah MJ. Neurocognitive correlates of socioeconomic status in kindergarten children. Dev. Sci. 2005; 8: 74–87. |
| [42] | Kishiyama MM, Boyce WT, Jimenez AM, Perry LM, Knight RT. Socioeconomic disparities affect prefrontal function in children. J. Cogn. Neurosci. 2009; 21: 1106–1115. |
| [43] | Whitehurst GJ. In: Research on Communication and Language Disorders: Contribution to Theories of Language Development. Adamson LB, Romski MA, editors. Baltimore, Maryland: Brookes Publishing; 1997; 233–266. |
| [44] | Daniel A. Hackman, Martha J. Farah, and Michael J. Meaney, et al. Socioeconomic status predicts hemispheric specialization of the left inferior frontal gyrus in young children. Neuroimage. 2008; 40: 1392–1401. |
| [45] | Noble KG, Norman MF, Farah MJ. The neurocogni¬tive correlates of socioeconomic status in kindergar¬ten children. Dev Sci. 2005; 8: 74-87. |
| [46] | Catani M, Jones DK, Fftyche D. Perisylvian language networks of the human brain. Annals of Neurology. 2005; 57(1): 8-16. |
| [47] | Binder JR, Frost JA, Hammeke TA, Cox RW, Rao SM, Prieto T. Human brain areas identified by func¬tional magnetic resonance imaging. J Neurosci. 1997; 17(1): 353-362. |
| [48] | Squire LR, Wixted JT. The cognitive neuroscience of human memory since H.M. Annu Rev Neurosci. 2011; 34: 259-88. |
| [49] | Herrmann D, Guadagno MA. Memory performance and Socio-Economic Status. Appl Cognit Psychol. 1997; 11(2): 113-120. |
| [50] | Kishiyama MM, Boyce WT, Jimenez AM, Perry LM, Knight RT. Socioeconomic disparities affect pre¬frontal function in children. J Cogn Neurosci. 2009; 21(6): 1106-1115. |
| [51] | Gianaros PJ, Manuck SB. Neurobiological pathways linking socioeconomic position and health. Psychosom Med. 2010; 72(5): 450-61. |
| [52] | Offord DR, Lipman EL. Lessening the impact of poverty on children. Paediatr Child Health. 1999; 4(8): 526-529. |
| [53] | Jensen E. Enriching the brain. San Francisco, CA: Jossey Bass, A Wiley Imprint; 2006. |
| [54] | Sapolsky RM. Stress and plasticity in the limbic system. Neurochem Res. 2003; 28(11): 1735-42. |
| [55] | Hanson JL, Chandra A, Wolfe BL, Pollak SD. Association between income and the hippocampus. PLoS One. 2011; 6(5): e18712. |
| [56] | Evans GE, Schamberg MA. Childhood poverty, chronic stress, and adult working memory. Proc Nat Acad Sci. 2009; 106(16): 6545-6549. |
| [57] | Farah MJ, Shera DM, Savage JH, Betancourt L, Gianetta JM, Brodsky NL, Malmud EK, Hurt H. Childhood poverty: Specific associations with neu¬rocognitive development. Brain Res. 2006; 1110(1): 166-74. |
APA Style
Sourav Manna, Amitava Pal, Prakash Chandra Dhara. (2016). Effect of Socio-Economic Status on Learning Ability of Bengali (Indian) Primary School Children. Advances in Applied Physiology, 1(1), 12-17. https://doi.org/10.11648/j.aap.20160101.13
ACS Style
Sourav Manna; Amitava Pal; Prakash Chandra Dhara. Effect of Socio-Economic Status on Learning Ability of Bengali (Indian) Primary School Children. Adv. Appl. Physiol. 2016, 1(1), 12-17. doi: 10.11648/j.aap.20160101.13
AMA Style
Sourav Manna, Amitava Pal, Prakash Chandra Dhara. Effect of Socio-Economic Status on Learning Ability of Bengali (Indian) Primary School Children. Adv Appl Physiol. 2016;1(1):12-17. doi: 10.11648/j.aap.20160101.13
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Download@article{10.11648/j.aap.20160101.13,
author = {Sourav Manna and Amitava Pal and Prakash Chandra Dhara},
title = {Effect of Socio-Economic Status on Learning Ability of Bengali (Indian) Primary School Children},
journal = {Advances in Applied Physiology},
volume = {1},
number = {1},
pages = {12-17},
doi = {10.11648/j.aap.20160101.13},
url = {https://doi.org/10.11648/j.aap.20160101.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aap.20160101.13},
abstract = {Socioeconomic status is strongly associated with the cognitive ability and achievement during childhood. The purpose of the present study was to investigate the influence of age and socioeconomic status (SES) on learning ability among 5-10 years school going boys. A cross-sectional study was conducted on 322 school going boys from different districts of West Bengal state, India. The socio-economic status of the participants was evaluated by modified Kuppuswami scale. Learning ability of the participants was evaluated by Ray's auditory verbal learning test (RAVLT). The subjects were divided into lower, middle, upper SES groups. The results revealed that the 5 years old boys recalled significantly lesser words on each of the learning trials and showed significantly lower learning score compared to that of older boys. Age was significantly (P<0.001) and positively correlated with RAVLT performances. The participants belonged to the lower socioeconomic group recalled significantly lesser words on each of the learning trials and possessed significantly small¬er learning score compared to that of middle and upper socioeconomic groups. Correlation analysis demonstrated that socioeconomic status had significant and positive correlation with RAVLT performances. On the contrary, age and socioeconomic status had significant negative correlation with forgetful speed. Multiple regression analysis demonstrated that even after controlling for the effect of the age, socioeconomic status had strong significant impact on learning of trials (LOT) and recognition (REC).},
year = {2016}
}
TY - JOUR T1 - Effect of Socio-Economic Status on Learning Ability of Bengali (Indian) Primary School Children AU - Sourav Manna AU - Amitava Pal AU - Prakash Chandra Dhara Y1 - 2016/01/18 PY - 2016 N1 - https://doi.org/10.11648/j.aap.20160101.13 DO - 10.11648/j.aap.20160101.13 T2 - Advances in Applied Physiology JF - Advances in Applied Physiology JO - Advances in Applied Physiology SP - 12 EP - 17 PB - Science Publishing Group SN - 2471-9714 UR - https://doi.org/10.11648/j.aap.20160101.13 AB - Socioeconomic status is strongly associated with the cognitive ability and achievement during childhood. The purpose of the present study was to investigate the influence of age and socioeconomic status (SES) on learning ability among 5-10 years school going boys. A cross-sectional study was conducted on 322 school going boys from different districts of West Bengal state, India. The socio-economic status of the participants was evaluated by modified Kuppuswami scale. Learning ability of the participants was evaluated by Ray's auditory verbal learning test (RAVLT). The subjects were divided into lower, middle, upper SES groups. The results revealed that the 5 years old boys recalled significantly lesser words on each of the learning trials and showed significantly lower learning score compared to that of older boys. Age was significantly (P<0.001) and positively correlated with RAVLT performances. The participants belonged to the lower socioeconomic group recalled significantly lesser words on each of the learning trials and possessed significantly small¬er learning score compared to that of middle and upper socioeconomic groups. Correlation analysis demonstrated that socioeconomic status had significant and positive correlation with RAVLT performances. On the contrary, age and socioeconomic status had significant negative correlation with forgetful speed. Multiple regression analysis demonstrated that even after controlling for the effect of the age, socioeconomic status had strong significant impact on learning of trials (LOT) and recognition (REC). VL - 1 IS - 1 ER -
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