Slums areas present major social and health disadvantages to children, which may affect their school performance. The aim of this study was to determine the factors affecting scholastic achievement among adolescent children in a slum area. This cross-sectional study was carried out in an urban slum area (Manshiat Naser) in Cairo on a multistage stratified cluster sample of 200 preparatory school children residing in the area technique was used. The data collection tool was an interview questionnaire form covering socio-demographic characteristics, school achievement, and selected domains of the Global Risk Assessment Device (GRAD) scale. The fieldwork was from the beginning of October to the end of December 2015. The results showed that 18% of children had academic failure. Statistically significant relations were revealed between school achievement and school children’s gender (p=0.001), age (p=0.03), grade (p=0.001), father education (p=0.02), mother age (p=0.19), residence (p=0.01), and income (p < 0.001). School achievement was also related to the educational (p < 0.001), accountability (p < 0.001), and health care (p < 0.001) factors of GRAD. In multivariate analysis, the risk factors predicting academic failure were a higher school grade, and higher scores of educational, accountability, and health care factors. In conclusion, the school performance of school children in slum area is most influenced by accountability, educational and health care factors, and higher school grade. Intervention studies are needed to investigate the effectiveness of school-based programs addressing these identified factors in improving school performance among these adolescents.
Published in | American Journal of Nursing Science (Volume 5, Issue 2) |
DOI | 10.11648/j.ajns.20160502.12 |
Page(s) | 45-51 |
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), 2016. Published by Science Publishing Group |
Scholastic Achievement, School Children, Slum, Psychosocial
[1] | Unger A. (2013): Children’s health in slum settings Arch Dis Child; 0: 1–7. doi: 10.1136/archdischild-2011-301621. |
[2] | Pitcher H. M. (2009): The future of scenarios: issues in developing new climate change scenarios. Environmental Research Letters; 2(025002). |
[3] | UN-Habitat (2008): State of the world’s cities 2008/2009 harmonious cities. London e Sterling, VA: United Nations Human Settlements Programme. |
[4] | UN-HABITATT (2015): Housing and Slum Upgrading. Retrieved on January 10, 2016 at: http://unhabitat.org/urban-themes/housing-slum-upgrading/ |
[5] | Davis M. (2006): Planet of slums. London, New York: Verso, p.228. |
[6] | UN- HABITAT (2003): UNHSP The challenge of the slums: global report on human settlements. Nairobi: United Nations, 2003. http://www.unhabitat.org/downloads/docs/GRHS.2003.0. pdf (accessed 12 Oct 2012). |
[7] | UNESCO (2011): The hidden crisis: Armed conflict and education EFA Global Monitoring Report, Oxford/ Paris: UNESCO. |
[8] | CREATE (2011): Making Rights Realities: Researching Educational Access, Transitions and Equity, Consortium for Research on Educational Access, Transitions & Equity, University of Sussex/DFID. |
[9] | UIS (2012): Reaching Out-of-School Children Is Crucial for Development, UIS Fact Sheet No. 18, http:// www.uis.unesco.org/Education/Documents/fs-18-OOSC-2.pdf. |
[10] | Schlesselman J. (1982): Case control studies: design, conduct, analysis. Oxford Uni. Press, New York, pp 145-146. |
[11] | Gavazzi S. M., Lim J. Y., Yarcheck C. M., and Eyre E. L. (2003): A brief report regarding predictive validity evidence of global risk indicators in the lives of court-involved youth. Psychological Reports; 93: 1239-1242. |
[12] | Gavazzi S. M. (2006): Gender, ethnicity, and the family environment: Contributions to assessment efforts within the realm of juvenile justice. Family Relations; 55 (2): 190-199. |
[13] | Reimer M., and Smink J. (2005): Information About the School Dropout Issue Selected Facts & Statistics. A Publication of the National Dropout Prevention Center/Network. |
[14] | Sherr L., Hensels I. S., Skeen S., Tomlinson M., Roberts K. J., and Macedo A. (2007): Exposure to violence predicts poor educational outcomes in young children in South Africa and Malawi. Int Health. 2015 Dec 17. pii: ihv070. [Epub ahead of print]. |
[15] | Özenl Y. (2012): A social psychological approach: relationship between social responsibility and student achievement. http://www.akademikbakis.org |
[16] | Vitale R., Degoy E., and Berra S. (2015): [Perceived health and academic performance among adolescents from public schools in the city of Córdoba]. [Article in Spanish] Arch Argent Pediatr.; 113(6): 526-33. |
[17] | Lowry F. (2010): Prevalence of chronic illness in US kids has increased. Medscape Medical News. Retrieved from http://www.medscape.com |
[18] | Crump C., Rivera D., London R., Landau M., Erlendson B., and Rodriguez E. (2013): Chronic health conditions and school performance among children and youth. Ann Epidemiol.; 23(4): 179-84. doi: 10.1016/j.annepidem.2013.01.001. Epub 2013 Feb 12. |
[19] | Evens A., Hryhorczuk D., Lanphear B. P., Rankin K. M., Lewis D. A., Forst L., and Rosenberg D. (2015): The impact of low-level lead toxicity on school performance among children in the Chicago Public Schools: a population-based retrospective cohort study. Environ Health.; 14: 21. doi: 10.1186/s12940-015-0008-9. |
[20] | Skerfving S., Löfmark L., Lundh T., Mikoczy Z., and Strömberg U. (2015): Late effects of low blood lead concentrations in children on school performance and cognitive functions. Neurotoxicology.; 49: 114-20. doi: 10.1016/j.neuro. 2015.05.009. Epub 2015 May 27. |
[21] | García-Vázquez J. (2014): Effects of the School for Health network on students' behaviour in Asturias (Spain). Health Promot Int. 2014 Sep 10. pii: dau076. [Epub ahead of print] |
[22] | Hollar D., and Moore D. (2004): Relationship of substance use by students with disabilities to long-term educational, employment, and social outcomes. Subst Use Misuse; 39: 931–962. |
[23] | Couwenbergh C., Van Der Gaag R. J., Koeter M., De Ruiter C., and Van den Brink W. (2009): Screening for substance abuse among adolescents validity of the CAGE-AID in youth mental health care. Subst Use Misuse.; 44(6): 823-34. doi: 10.1080/10826080802484264. |
[24] | Singleton R. A. (2007): Collegiate alcohol consumption and academic performance. J. Stud. Alcohol Drugs; 68: 548–555. |
[25] | Bachman J. G., O’Malley P. M., Schulenberg J. E., Johnston L. D., Freedman-Doan P., and Messersmith E. E. (2008): The Education-drug Use Connection: How Successes and Failures in School Relate to Adolescent Smoking, Drinking, Drug Use, and Delinquency; New York, NY, USA: Lawrence Erlbaum Associates/Taylor & Francis. |
[26] | Valtolina G. G., and Colombo C. (2012): Psychological well-being, family relations, and developmental issues of children left behind. Psychol Rep.; 111(3): 905-28. |
[27] | Kiviruusu O., Huurre T., Aro H., Marttunen M., and Haukkala A. (2015): Self-esteem growth trajectory from adolescence to mid-adulthood and its predictors in adolescence. Adv Life Course Res.; 23: 29-43. doi: 10.1016/j.alcr.2014.12.003. Epub 2014 Dec 24. |
[28] | Maruyama G. M., Rubin R. A., and Kingsbury G. G. (1981): Self-esteem and educational achievement: Independent constructs with a common cause? Journal of Personality and Social Psychology; 40(5): 623-655. |
[29] | Bunketorp Käll L., Malmgren H., Olsson E., Lindén T., and Nilsson M. (2015): Effects of a Curricular Physical Activity Intervention on Children's School Performance, Wellness, and Brain Development. J Sch Health.; 85(10): 704-13. doi: 10.1111/josh.12303. |
[30] | Ruijsbroek A., Wijga A. H., Gehring U., Kerkhof M., and 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. doi: 10.1371/journal.pone.0134780. eCollection 2015. |
[31] | Pereira S., Santos J. N., Nunes M. A., Oliveira M. G., Santos T. S., and Martins-Reis Vde O. (2015): Health and education: a partnership required for school success. Codas.; 27(1): 58-64. doi: 10.1590/2317-1782/20152014053. |
[32] | Iovleva N. N., and Soroko S. I. (2015): [Influence of social factors on personal social and psychological adaptation and functional state of the cns in northern children]. [Article in Russian] Ross Fiziol Zh Im I M Sechenova.; 101(6): 731-44. |
APA Style
Amany Sobhy Sorour. (2016). Factors Affecting Scholastic Achievement Among School Children in a Slum Area. American Journal of Nursing Science, 5(2), 45-51. https://doi.org/10.11648/j.ajns.20160502.12
ACS Style
Amany Sobhy Sorour. Factors Affecting Scholastic Achievement Among School Children in a Slum Area. Am. J. Nurs. Sci. 2016, 5(2), 45-51. doi: 10.11648/j.ajns.20160502.12
AMA Style
Amany Sobhy Sorour. Factors Affecting Scholastic Achievement Among School Children in a Slum Area. Am J Nurs Sci. 2016;5(2):45-51. doi: 10.11648/j.ajns.20160502.12
@article{10.11648/j.ajns.20160502.12, author = {Amany Sobhy Sorour}, title = {Factors Affecting Scholastic Achievement Among School Children in a Slum Area}, journal = {American Journal of Nursing Science}, volume = {5}, number = {2}, pages = {45-51}, doi = {10.11648/j.ajns.20160502.12}, url = {https://doi.org/10.11648/j.ajns.20160502.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajns.20160502.12}, abstract = {Slums areas present major social and health disadvantages to children, which may affect their school performance. The aim of this study was to determine the factors affecting scholastic achievement among adolescent children in a slum area. This cross-sectional study was carried out in an urban slum area (Manshiat Naser) in Cairo on a multistage stratified cluster sample of 200 preparatory school children residing in the area technique was used. The data collection tool was an interview questionnaire form covering socio-demographic characteristics, school achievement, and selected domains of the Global Risk Assessment Device (GRAD) scale. The fieldwork was from the beginning of October to the end of December 2015. The results showed that 18% of children had academic failure. Statistically significant relations were revealed between school achievement and school children’s gender (p=0.001), age (p=0.03), grade (p=0.001), father education (p=0.02), mother age (p=0.19), residence (p=0.01), and income (p < 0.001). School achievement was also related to the educational (p < 0.001), accountability (p < 0.001), and health care (p < 0.001) factors of GRAD. In multivariate analysis, the risk factors predicting academic failure were a higher school grade, and higher scores of educational, accountability, and health care factors. In conclusion, the school performance of school children in slum area is most influenced by accountability, educational and health care factors, and higher school grade. Intervention studies are needed to investigate the effectiveness of school-based programs addressing these identified factors in improving school performance among these adolescents.}, year = {2016} }
TY - JOUR T1 - Factors Affecting Scholastic Achievement Among School Children in a Slum Area AU - Amany Sobhy Sorour Y1 - 2016/03/12 PY - 2016 N1 - https://doi.org/10.11648/j.ajns.20160502.12 DO - 10.11648/j.ajns.20160502.12 T2 - American Journal of Nursing Science JF - American Journal of Nursing Science JO - American Journal of Nursing Science SP - 45 EP - 51 PB - Science Publishing Group SN - 2328-5753 UR - https://doi.org/10.11648/j.ajns.20160502.12 AB - Slums areas present major social and health disadvantages to children, which may affect their school performance. The aim of this study was to determine the factors affecting scholastic achievement among adolescent children in a slum area. This cross-sectional study was carried out in an urban slum area (Manshiat Naser) in Cairo on a multistage stratified cluster sample of 200 preparatory school children residing in the area technique was used. The data collection tool was an interview questionnaire form covering socio-demographic characteristics, school achievement, and selected domains of the Global Risk Assessment Device (GRAD) scale. The fieldwork was from the beginning of October to the end of December 2015. The results showed that 18% of children had academic failure. Statistically significant relations were revealed between school achievement and school children’s gender (p=0.001), age (p=0.03), grade (p=0.001), father education (p=0.02), mother age (p=0.19), residence (p=0.01), and income (p < 0.001). School achievement was also related to the educational (p < 0.001), accountability (p < 0.001), and health care (p < 0.001) factors of GRAD. In multivariate analysis, the risk factors predicting academic failure were a higher school grade, and higher scores of educational, accountability, and health care factors. In conclusion, the school performance of school children in slum area is most influenced by accountability, educational and health care factors, and higher school grade. Intervention studies are needed to investigate the effectiveness of school-based programs addressing these identified factors in improving school performance among these adolescents. VL - 5 IS - 2 ER -