Validating Childhood Maltreatment Typologies Using Data Linkage

Siobhan Murphy, Shevlin Mark, Ask Elklit, Eoin McElroy, J Murphy, Philip Hyland, Mogens Christoffersen

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
11 Downloads (Pure)


This data linkage study aims to examine associations between subgroups of child maltreatment and a range of demographic (e.g., gender) familial (e.g., parental unemployment) and health outcomes. Structured interviews were conducted on 2,980 participants. Data were then linked with information drawn from Danish registries. Multinomial logistic regression analyses indicated out-of-home-care was a shared risk for all forms of maltreatment relative to nonmaltreated controls. Sexual and co-occurring abuse groups had strong associations with psychiatric outcomes at age 21. Findings emphasize how a child’s early environment can impact health, highlighting the need for targeted interventions encompassing a range of risk factors at an early age.
Original languageEnglish
Pages (from-to)99-112
JournalJournal of Loss and Trauma
Issue number2
Early online date4 Jan 2018
Publication statusPublished online - 4 Jan 2018


  • Child maltreatment
  • data linkage
  • latent class analysis
  • validation


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