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Great Smoky Mountain Study (GSMS)
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Sample details

The GSMS is a longitudinal assessment of the development of psychiatric and substance abuse disorders and access to mental health care in a representative sample of 1,400 children and adolescents living in the southeastern United States. Participants were recruited from eleven contingent counties in the southern Appalachian mountain region of North Carolina. Three cohorts, aged 9, 11, and 13, with sample sizes of 508, 497, and 415, respectively, were recruited in 1993. Annual assessments were completed with the child and the primary caregiver until age 16 and then with the participant again at ages 19, 21, 24 to 26, and 30.

Study design
Cohort - accelerated

Number of participants at first data collection

1,070 (participants)

Age at first data collection

9 - 13 years (participants)

Participant year of birth

1980 - 1984 (participants)

Participant sex
All

Representative sample at baseline?
All children aged nine to thirteen in 11 North Carolina counties.

Sample features

Population-based sample
Dataset details

Country

United States of America

Year of first data collection

1993

Primary Institutions

Duke University

Links

icpsr.umich.edu/web/NAHDAP/studies/37221

devepi.duhs.duke.edu/studies/great-smoky-mountains-study/

Funders

Department of Education

National Institute of Mental Health (NIMH)

National Institute on Drug Abuse (NIDA)

Ongoing?
Yes

Data types collected

mentalHealthData
qualitativeData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • Interviews or focus groups
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Education data
  • Police & judicial system data
Features

Engagement

  • None
  • Keywords

    Biological ageing
    Biopsychosocial factors
    Epidemiology
    Genetic predisposition
    Mental health
    Poverty
    Predictors
    Rural areas
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