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Socio-Economic Effects on Brain Functions and Symptoms of Child Behavioral Problems

사회경제적 차이가 아동의 뇌기능과 문제행동증후에 미치는 영향

  • Park, Hee-Rae (Dept. of Neuroscience, Seoul University of Bhuddhism) ;
  • Park, Pyongwoon (Dept. of Neuroscience, Seoul University of Bhuddhism) ;
  • Song, Giwon (Dept. of Neuroscience, Seoul University of Bhuddhism) ;
  • Lim, Giyong (Dept. of Neuroscience, Seoul University of Bhuddhism)
  • 박희래 (서울불교대학원대학교 뇌과학과) ;
  • 박병운 (서울불교대학원대학교 뇌과학과) ;
  • 송기원 (서울불교대학원대학교 뇌과학과) ;
  • 임기용 (서울불교대학원대학교 뇌과학과)
  • Received : 2014.12.21
  • Accepted : 2015.01.08
  • Published : 2015.01.31

Abstract

This study examined for which socio-economic difference effects on brain function and Problem behavior syndrome in children. About a children with no disorders, diseases or cognitive dysfunction-30 were from LIC children and another 30, from MC ones, the study was conducted by measuring and analyzing the data using brain function analysis and K-CBCL from January to April, 2013. The results of the study are as follows. First, it was found that the ratio of LIC's theta(${\Theta}$) and SMR waves and that of delta(${\delta}$), high beta(${\beta}h$), alpha(${\alpha}$) and low beta(${\beta}l$) waves showed significantly higher values than MC children. Second, concerning the symptoms of child behavioral problems, LIC showed significantly higher values than MC children in symptoms of the body, depression and anxiety, social immaturity, thinking problems, attention problems, aggression, internalization, externalization, overall behavioral problems, and emotional instability. MC children showed significantly higher values than LIC chidren in symptoms of social, academic-performance, total social skills. In conclusion, the significant difference of the brain functions and the symptoms of child behavioral problems between LIC and MC children showed that the socio-ecnomic difference has an influence on the same functions and symptoms above.

본 연구는 사회경제적 차이가 아동의 뇌기능과 문제행동증후에 미치는 영향에 대해서 살펴보았다. 장애, 질병 또는 인지기능에 문제가 없는 저소득층(LIC) 아동 30명, 중산층(MC)아동 30명을 대상으로 2013년 1월부터 4월까지 뇌기능 분석과 K-CBCL을 이용한 아동문제행증후의 데이터를 측정 분석하였다. 연구 결과는 첫째, LIC아동은 MC아동보다 세타파(${\Theta}$), SMR파의 비율과 델타파(${\delta}$), 고베타파(${\beta}h$), 알파파(${\alpha}$):저베타(${\beta}l$)의 비율이 유의미하게 높게 나타났고, MC아동은 LIC아동보다 자기조절지수 주의지수 정서지수 항스트레스지수 브레인 지수의 값에서 더 유의미하게 높다는 것을 보여주었다. 둘째, 아동문제행동증후는신체증상, 우울/불안, 사회적 미성숙, 사고의 문제, 주의집중문제, 공격성, 내재화, 외현화, 총 문제행동, 정서불안정에 있어서 LIC아동이 MC아동에 비해서 더 유의미하게 높았고, MC아동은 사회성, 학업수행능력, 총 사회능력에서 LIC아동보다 유의미하게 높았다. 결론적으로, LIC아동과 MC아동의 사회경제적 차이가 상기 뇌기능과 문제행동증후에 영향을 미치는 것으로 밝혀졌다.

Keywords

References

  1. B. H. Hyeon, K. J. Kim , M. J. Lee. "Brain science research and utilization technology, Technology Trend Report of BT",Technology Trend 2012, Biotech Policy Research Center, Daejeon, Series No.189, 2012.
  2. National Statistical Office, "2013 household finance & welfare research", 2013.
  3. J. N. Giedd, R. K. Lenroot, "Brain development in children and adolescents : Insights from anatomical magnetic resonance imaging", Neuroscience and Biobegavioral Review 30, 718-729. 2006. DOI: http://dx.doi.org/10.1016/j.neubiorev.2006.06.001
  4. J. N. Giedd, J. Blumenthal, N. O. Jeffries, F. X. Castellanos, H. Liu, "Brain development during childhood and adolescence: A longitudinal MRI study", Nature Neuroscience, 2, pp. 861-863. 1999. DOI: http://dx.doi.org/10.1038/13158
  5. G. Otero, "EEG spectral analysis in children with sociocultural handicaps", Int J Neurosci 79, pp. 213-220. 1994. DOI: http://dx.doi.org/10.3109/00207459408986082
  6. T. Harmony, G. Hinojosa, E. Marosi, J. Becker, M. Rodriguez, A. Reyes, C. Rocha, "Correlation between EEG spectral parameters and an educational evaluation", Int J Neurosci. Sep;54(1-2): pp.147-155. 1990. https://doi.org/10.3109/00207459008986630
  7. S. Kounberger, L. A. Bird, C. A. Peh, T. Elliott, A. J. McMichael, P. Bowness, "Lymphoblastoid cells express HLA-B27 homodimers both intracellularly and at the cell surface following endosomal recycling", Eur J Immunal 33, pp. 748-759. 2003. DOI: http://dx.doi.org/10.1002/eji.200323678
  8. G. Jack, "Ecological influences on parenting and child development", Pediatrics, 104(1), pp. 164-167. 2000.
  9. J. Y. Lee, J. J. Pack, "The Relation between the Psychological Environment of Family and Mal-Adaption Behavior that Perceived,", Sookmyung Women's University, Life Science Research Institute, Seoul, 1997.
  10. Daejeon Metropolitan City, "2014 Community Services Investment Project Guide", Health Insurance Calculation Table benchmarks. p.203-209. 2014.
  11. Y. J. Kim, "Development of Brain Circulation Learning Model Based on EEG Analysis of Learning Activities". Unpublished Doctoral Dissertation, Seoul National University, 2000.
  12. T. M. Achenbach, C. S. Edelbrock, "Mannual for the Child Behavior Checklist and Revised Child Behavior Profile", Burlington, Vt; University of Vermont. 1983.
  13. T. M. Achenbach, "Mannual for the Child Behavior Checklist / 4-18 and 1991 Profile", Burlington, Vt; University of Vermont. 1991.
  14. G. G. Oh, H. R. Lee, G. E. Hong, E. H. Ha, "Children and Youth Behavioral Assessment Behavior Scale (K-CBCL)", Seoul: Central Institute aptitude, 1997.
  15. J. E. Lee, "Effects of Neurofeedback, Cranio-Sacral Therapy and Mixed Therapy on Fatigue, Stress and The Brain Quotient in Korean Middle Aged Women" Seoul Univ. of Buddhism, 2008.
  16. S. K. Ahn, "Research on the Effect of Prefrontal Neurofeedback Training on Self control and Learning Motivation of Adolescents", A doctor's thesis, Seoul Univ. of Buddhism, 2011.
  17. M. O. Ru, S. G. Lee, K. J. Bak, "Studies of brain function characterized by maladaptive military soldiers through EEG analysis", Korea Academic Technology. Vol. 15, No. 4 pp.1916-1922, 2014.
  18. P. W. Park, "The Foundation of Neurofeedback", Seoul: Korea Research Institute Jungshin Science, 2005.
  19. K. J. Oh, et al, "Yonsei University Institute of Development Action interocular K-CBCL score Wizard", Ver. 1.1. Copyright (C), 1999.
  20. Gasser, T., Verleger, 1R., Bacher, P. & Sroka, L. (1988). Development of the EEG of school-age children and adolescents. I. Analysis of band power. Electroenceph. clin. Neurophysio, 69, pp. 91-99. DOI: http://dx.doi.org/10.1016/0013-4694(88)90204-0
  21. T. Gasser, P. Bacher, J. Mocks, "Transformation toward the normal distribution of broad band spectral parameters of the EEG", Electroenceph clin Neurophysiol. 53: pp.119-124. 1982. DOI: http://dx.doi.org/10.1016/0013-4694(82)90112-2
  22. W. Fumam, D. Buhrmester, "Children's perceptions of the personal relationships in their social networks", Developmental Psychology, 21, pp.1016-1024. 1985. DOI: http://dx.doi.org/10.1037/0012-1649.21.6.1016
  23. M. J. Barrera, "Social Support in the adjustment of pregnant adolescent: Assessment issues, In B. H. Gottlieb(Eds)", Social networks and social support. Beverly Hills: Sage. 1981.