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Children’s Attention Project (CAP)
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Sample details

The CAP aims to map the course of ADHD symptoms over time and to identify risk and protective factors associated with differential outcomes. Almost 500 participants were recruited from 43 primary schools in Melbourne, Australia. At baseline in 2011 or 2012, participants were in Grade 1 (aged 6 to 8 years) and included children with and without an ADHD diagnosis. There were five follow-up waves every one to two years until 2019. The Neuroimaging of the Children’s Attention Project (NICAP) sub-study is a neuroimaging study of approximately 200 children from the CAP. NICAP’s aim is to determine how brain structure and function change with age in children with and without ADHD and whether different trajectories of brain development are associated with variations in outcomes. NICAP waves occurred at the same time as CAP waves 3, 4 and 5.

Study design
Cohort

Number of participants at first data collection

497 (participants)

Age at first data collection

6 - 8 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Attention deficit hyperactivity disorder (ADHD)
Control participants
School-aged children
Dataset details

Country

Australia

Year of first data collection

2011

Primary Institutions

Murdoch Children’s Research Institute (MCRI)

Links

lifecourse.melbournechildrens.com/cohorts/cap-and-nicap/

seed.deakin.edu.au/cohort-study/childrens-attention-project-cap-including-neuroimaging-of-cap-substudy-nicap/

doi.org/10.1186/s12888-016-0770-4

Funders

Collier Foundation

Murdoch Children's Research Institute (MCRI)

National Health and Medical Research Council (NHMRC)

Ongoing?
No

Data types collected

neuroImagingData
mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • Functional magnetic resonance imaging (fMRI)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Education data
  • Existing research data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Anthropometry
    Attention Deficit Hyperactivity Disorder (ADHD)
    Biological samples/biospecimens
    Education
    Electronic health records
    Environmental exposures
    Health and wellbeing
    Human development
    Magnetic Resonance Imaging (MRI)
    Mental health
    Neuroimaging
    Teacher relationships

    Consortia and dataset groups

    Methylation, Imaging and NeuroDevelopment (MIND) Consortium
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