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    A Multivariate Analysis of Socio-demographic, Health Status, Behavior/Emotional/Social, and Comorbid Associations on the Frequency of Bullying Victimization among Poor Children

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    https://www.riss.kr/link?id=A104558870

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Using Families and Children Study (FACS) 2008, this study attempted to examine socio-demographic, health status, behavior/emotional/social, and comorbid associations on bullying victimization among disadvantaged children. A total of 8,735 children (52.6% boys and 47.4% girls) randomly selected from England, Wales, and Scotland, voluntary participated in the survey covering a range of topics including health, disability and caring. Socio-demographic, childcare, and health status differences except sex differences were identified in the current study. The present study also showed that school performance, longstanding illness or disability, behavior/emotional/social problems, and comorbidity positively predicted the likelihood of bully victimization. The factors predicting bullying victimization among disadvantaged children should be considered to develop effective treatment and prevention programs relevant to those environments.
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    Using Families and Children Study (FACS) 2008, this study attempted to examine socio-demographic, health status, behavior/emotional/social, and comorbid associations on bullying victimization among disadvantaged children. A total of 8,735 children (52...

    Using Families and Children Study (FACS) 2008, this study attempted to examine socio-demographic, health status, behavior/emotional/social, and comorbid associations on bullying victimization among disadvantaged children. A total of 8,735 children (52.6% boys and 47.4% girls) randomly selected from England, Wales, and Scotland, voluntary participated in the survey covering a range of topics including health, disability and caring. Socio-demographic, childcare, and health status differences except sex differences were identified in the current study. The present study also showed that school performance, longstanding illness or disability, behavior/emotional/social problems, and comorbidity positively predicted the likelihood of bully victimization. The factors predicting bullying victimization among disadvantaged children should be considered to develop effective treatment and prevention programs relevant to those environments.

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    참고문헌 (Reference)

    1 "http://www.education.gov.uk/publications//eOrderingDownload/Bullying-SEN.pdf"

    2 McLoyd, V. C., "The impact of economic hardship on black families and children: Psychological distress, parenting, and socioemotional development" 61 : 311-346, 1990

    3 Timmer, S. G., "The Effectiveness of Parent-Child Interaction Therapy for Victims of Interparental Violence" 25 (25): 486-503, 2010

    4 Bradley, R. H., "Socioeconomic status and child development" 53 : 371-399, 2002

    5 San Miguel, S. K., "Social skills deficits in learning disabilities : the psychiatric comorbidity hypothesis" 19 (19): 252-260, 1996

    6 Rigby, K., "Peer victimization at school and the health of secondary students" 69 : 95-104, 1999

    7 Deater-Deckard, K. ., "Parent–child mutuality in early childhood: Two behavioral genetic studies" 36 : 561-570, 2000

    8 Plomin, R., "Nature and nurture: genetic and environmental influences on behavior" 600 (600): 86-98, 2005

    9 Mize, J., "Mothers’ social coaching, mother–child relationship style, and children’s peer competence: Is the medium the message?" 68 : 312-332, 1997

    10 Greenham, S., "Learning disabilities and psychosocial adjustment : A critical review" 5 (5): 171-196, 1999

    1 "http://www.education.gov.uk/publications//eOrderingDownload/Bullying-SEN.pdf"

    2 McLoyd, V. C., "The impact of economic hardship on black families and children: Psychological distress, parenting, and socioemotional development" 61 : 311-346, 1990

    3 Timmer, S. G., "The Effectiveness of Parent-Child Interaction Therapy for Victims of Interparental Violence" 25 (25): 486-503, 2010

    4 Bradley, R. H., "Socioeconomic status and child development" 53 : 371-399, 2002

    5 San Miguel, S. K., "Social skills deficits in learning disabilities : the psychiatric comorbidity hypothesis" 19 (19): 252-260, 1996

    6 Rigby, K., "Peer victimization at school and the health of secondary students" 69 : 95-104, 1999

    7 Deater-Deckard, K. ., "Parent–child mutuality in early childhood: Two behavioral genetic studies" 36 : 561-570, 2000

    8 Plomin, R., "Nature and nurture: genetic and environmental influences on behavior" 600 (600): 86-98, 2005

    9 Mize, J., "Mothers’ social coaching, mother–child relationship style, and children’s peer competence: Is the medium the message?" 68 : 312-332, 1997

    10 Greenham, S., "Learning disabilities and psychosocial adjustment : A critical review" 5 (5): 171-196, 1999

    11 Mishna, F., "Learning disabilities and bullying : Double jeopardy" 36 : 336-347, 2003

    12 Barker, E. D., "Joint development of bullying and victimization in adolescence: relations to delinquency and self-harm" 47 (47): 1030-1038, 2008

    13 Gorvine, B. J., "Head Start Fathers’ Involvement With Their Children" 31 : 90-112, 2010

    14 Smetana, J. G., "Family processes and problem behaviors in middle-class African American adolescents" 12 : 275-304, 2002

    15 National Centre for Social Research and Department for Work and Pensions, "Families and Children Study: Waves 1-10, 1999-2008 [computer file]"

    16 Schonert-Reichl, K. A., "Empathy and social relationships in adolescents with behavioral disorders" 18 : 189-204, 1993

    17 Shifren, K., "Does early caregiving matter? The effects on young caregivers’ adult mental health" 27 (27): 329-337, 2003

    18 Broidy, L. M., "Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: a six-site, cross-national study" 39 (39): 222-245, 2003

    19 Perry, D. G., "Determinants of chronic victimization by peers: A review and new model of family influence, In Peer harassment in school: The plight of the vulnerable and victimized" Guilford 73-104, 2001

    20 Matthys, W., "Deficient social problem-solving in boys with ODD/CD, with ADHD, and with both disorders" 38 : 311-321, 1999

    21 Sourander, A., "Childhood bullies and victims and their risk of criminality in late adolescence" 161 : 546-552, 2007

    22 Glew, G. M., "Bullying, psycho-social adjustment and academic performance in elementary school" 159 : 1026-1031, 2005

    23 Brunstein, K. A., "Bullying, depression, and suicidality in adolescents" 46 : 40-49, 2007

    24 Arseneault, L., "Bullying victimization uniquely contributes to adjustment problems in young children: a nationally representative cohort study" 118 (118): 130-138, 2006

    25 Kshirsagar, Y. Y., "Bullying in schools: prevalence and short term impact" 44 : 25-28, 2007

    26 Agervold, M., "Bullying at work: a discussion of definitions and prevalence, based on an empirical study" 48 : 161-172, 2007

    27 Kaltiala-Heino, R., "Bullying at school, an indicator of adolescents at risk for mental disorders" 23 : 661-674, 2000

    28 Whitney, I., "Bullying and children with special needs, In School bullying: Insights and perspectives" Routledge 213-240, 1994

    29 Schnohr, C., "Bullying among Greenlandic schoolchildren : development since 1994 and relations to health and health behaviour" 65 : 305-312, 2006

    30 Department for children, schools and families, "Bullying Involving Children with Special Educational Needs and Disabilities Safe to Learn: Embedding anti-bullying work in schools" 2008

    31 Whitted, K. S., "Best Practices for Preventing or Reducing Bullying in Schools" 27 (27): 167-175, 2005

    32 Graetz, B., "Assessment of peer relationships in children with asthma" 20 (20): 205-216, 1995

    33 Finn, J. D., "Academic success among students at risk for school failure" 82 (82): 221-234, 1997

    34 Shek, D. T. L., "A Longitudinal Study of Perceived Family Functioning and Adolescent Adjustment in Chinese Adolescents With Economic Disadvantage" 26 : 518-543, 2005

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    2.34 2.47 2.766 0.54
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