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Longitudinal Pathways to Resilience in Maltreated Children
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Sample details

The Longitudinal Pathways to Resilience in Maltreated Children is a longitudinal follow-up of a cohort of maltreated and non-maltreated children in Upstate New York in the United States. Prospective follow-up assessments of 300 six to 12-year-old low income, maltreated, and non-maltreated children were conducted. The sample is racially and ethnically diverse: 65% of the children are African-American; 22% are Hispanic-American; 10% are European-American; and the remainder are from other racial/ethnic groups. The sex distribution of the sample is 63% male, consistent with a higher incidence of maltreatment among boys.

Study design
Cohort

Number of participants at first data collection

300 (participants)

Age at first data collection

5 - 12 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
Maltreatment sample is representative of the local county (Upstate New York) child maltreatment population.

Sample features

Children and young people
Maltreated
Dataset details

Country

United States of America

Year of first data collection

1997

Primary Institutions

Mt. Hope Family Center

University of Rochester

Links

ndacan.acf.hhs.gov/datasets/dataset-details.cfm

Profile paper DOI
Not available

Funders

Department of Health and Human Services (HHS)

National Center on Child Abuse and Neglect (NCCAN)

Ongoing?
No

Data types collected

mentalHealthData
qualitativeData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • Ethnography or participant observation
Neuroimaging data collection
  • None
Linked or secondary data
  • Other government data
  • Social care data
  • Tax, income & benefit data
Features

Engagement

  • None
  • Keywords

    Abuse and neglect
    Child abuse and maltreatment
    Human development
    Individual differences
    Low income
    Maladaptations
    Resilience
    Risk factors
    Violence
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