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Early Autism Risk Longitudinal Investigation (EARLI)
Early Autism Risk Longitudinal Investigation logo
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Sample details

EARLI aimed to investigate the environmental risk factors for developing autism spectrum disorder (ASD). Pregnant women at 28 weeks or less gestation who had an autistic child were recruited from major metropolitan areas across four states, namely Philadelphia, Baltimore, Sacramento and the San Francisco Bay Area. At baseline, over 170 mother-baby pairs were recruited. The mother was followed through pregnancy and delivery, after which their babies were followed until 36 months after birth.

Study design
Cohort - primary caregiver and child, Cohort - birth

Number of participants at first data collection

177 (mothers)

177 (babies)

Age at first data collection

≥ 18 years (mothers)

Birth (babies)

Participant year of birth

Varied (mothers)

Varied (babies)

Participant sex
All

Representative sample at baseline?
No

Sample features

Newborns, infants and babies
Pregnant people
Dataset details

Country

United States of America

Year of first data collection

2009

Primary Institutions

Children's Hospital of Philadelphia (CHOP)

Drexel University

Johns Hopkins University (JHU)

Kaiser Permanente

Kennedy Krieger Institute

Links

earlistudy.org/

nda.nih.gov/edit_collection.html

Funders

Autism Centers of Excellence (ACE)

Autism Speaks

Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

National Institute of Environmental Health Sciences (NIEHS)

National Institute of Neurological Disorders and Stroke (NINDS)

Ongoing?
No

Data types collected

mentalHealthData
qualitativeData
dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Interview – phone
  • Physical environment assessment (e.g. pollution, mould)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • Ethnography or participant observation
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Autism and Autism-like conditions
    Biological samples/biospecimens
    Environment
    Environmental exposures
    Genetic factors
    Pregnancy outcomes
    Risk factors

    Consortia and dataset groups

    Autism Centers of Excellence (ACE) Program
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