Literature DB >> 28253029

Predictors of Long-Term School-Based Behavioral Outcomes in the Multimodal Treatment Study of Children with Attention-Deficit/Hyperactivity Disorder.

Margot O Reed1,2, Ewgeni Jakubovski2,3, Jessica A Johnson2, Michael H Bloch4.   

Abstract

OBJECTIVE: To explore predictors of 8-year school-based behavioral outcomes in attention-deficit/hyperactivity disorder (ADHD).
METHODS: We examined potential baseline predictors of school-based behavioral outcomes in children who completed the 8-year follow-up in the multimodal treatment study of children with ADHD. Stepwise logistic regression and receiver operating characteristic (ROC) analysis identified baseline predictors that were associated with a higher risk of truancy, school discipline, and in-school fights.
RESULTS: Stepwise regression analysis explained between 8.1% (in-school fights) and 12.0% (school discipline) of the total variance in school-based behavioral outcomes. Logistic regression identified several baseline characteristics that were associated with school-based behavioral difficulties 8 years later, including being male (associated with truancy and school discipline), African American (school discipline, in-school fights), increased conduct disorder (CD) symptoms (truancy), decreased affection from parents (school discipline), ADHD severity (in-school fights), and study site (truancy and school discipline). ROC analyses identified the most discriminative predictors of truancy, school discipline, and in-school fights, which were Aggression and Conduct Problem Scale Total score, family income, and race, respectively.
CONCLUSIONS: A modest, but nontrivial portion of school-based behavioral outcomes, was predicted by baseline childhood characteristics. Exploratory analyses identified modifiable (lack of paternal involvement, lower parental knowledge of behavioral principles, and parental use of physical punishment), somewhat modifiable (income and having comorbid CD), and nonmodifiable (African American and male) factors that were associated with school-based behavioral difficulties. Future research should confirm that the associations between earlier specific parenting behaviors and poor subsequent school-based behavioral outcomes are, indeed, causally related and independent cooccurring childhood psychopathology. Future research might target increasing paternal involvement and parental knowledge of behavioral principles and reducing use of physical punishment to improve school-based behavioral outcomes in children with ADHD.

Entities:  

Keywords:  attention-deficit/hyperactivity disorder; longitudinal studies; school-based outcomes; truancy

Mesh:

Year:  2017        PMID: 28253029      PMCID: PMC5439457          DOI: 10.1089/cap.2015.0168

Source DB:  PubMed          Journal:  J Child Adolesc Psychopharmacol        ISSN: 1044-5463            Impact factor:   2.576


  38 in total

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2.  Suspensions and detentions in an urban, low-income school: punishment or reward?

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3.  National Institute of Mental Health Collaborative Multimodal Treatment Study of Children with ADHD (the MTA). Design challenges and choices.

Authors:  L E Arnold; H B Abikoff; D P Cantwell; C K Conners; G Elliott; L L Greenhill; L Hechtman; S P Hinshaw; B Hoza; P S Jensen; H C Kraemer; J S March; J H Newcorn; W E Pelham; J E Richters; E Schiller; J B Severe; J M Swanson; D Vereen; K C Wells
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4.  Medication treatment strategies in the MTA Study: relevance to clinicians and researchers.

Authors:  L L Greenhill; H B Abikoff; L E Arnold; D P Cantwell; C K Conners; G Elliott; L Hechtman; S P Hinshaw; B Hoza; P S Jensen; J S March; J Newcorn; W E Pelham; J B Severe; J M Swanson; B Vitiello; K Wells
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5.  Age-related decrements in performance on a brief continuous performance test.

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6.  Clinical relevance of the primary findings of the MTA: success rates based on severity of ADHD and ODD symptoms at the end of treatment.

Authors:  J M Swanson; H C Kraemer; S P Hinshaw; L E Arnold; C K Conners; H B Abikoff; W Clevenger; M Davies; G R Elliott; L L Greenhill; L Hechtman; B Hoza; P S Jensen; J S March; J H Newcorn; E B Owens; W E Pelham; E Schiller; J B Severe; S Simpson; B Vitiello; K Wells; T Wigal; M Wu
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2001-02       Impact factor: 8.829

7.  Childhood peer relationship problems and later risks of educational under-achievement and unemployment.

Authors:  L J Woodward; D M Fergusson
Journal:  J Child Psychol Psychiatry       Date:  2000-02       Impact factor: 8.982

8.  Bibliotherapy as an adjunct to stimulant medication in the treatment of attention-deficit hyperactivity disorder.

Authors:  N Long; V I Rickert; E W Ashcraft
Journal:  J Pediatr Health Care       Date:  1993 Mar-Apr       Impact factor: 1.812

9.  Prediction of response to medication and cognitive therapy in the treatment of moderate to severe depression.

Authors:  Jay C Fournier; Robert J DeRubeis; Richard C Shelton; Steven D Hollon; Jay D Amsterdam; Robert Gallop
Journal:  J Consult Clin Psychol       Date:  2009-08

Review 10.  NIMH collaborative multisite multimodal treatment study of children with ADHD: I. Background and rationale.

Authors:  J E Richters; L E Arnold; P S Jensen; H Abikoff; C K Conners; L L Greenhill; L Hechtman; S P Hinshaw; W E Pelham; J M Swanson
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  1995-08       Impact factor: 8.829

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  3 in total

1.  Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.

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Journal:  Int J Med Inform       Date:  2020-04-25       Impact factor: 4.046

2.  Automated Risk Assessment for School Violence: a Pilot Study.

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Journal:  Psychiatr Q       Date:  2018-12

3.  Developmental Course and Risk Factors of Physical Aggression in Late Adolescence.

Authors:  Marit Henriksen; Marit Skrove; Gry Børmark Hoftun; Erik R Sund; Stian Lydersen; Wan-Ling Tseng; Denis G Sukhodolsky
Journal:  Child Psychiatry Hum Dev       Date:  2021-08
  3 in total

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