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Predictive validity of a service-setting-based measure to identify infancy mental health problems: a population-based

Janni Ammitzbøll1, Lau Caspar Thygesen2, Bjørn E Holstein2

  • 1National Institute of Public Health, University of Southern Denmark, Øster Farimagsgade 5A, 2., 1353, Copenhagen K, Denmark. jaam@sdu.dk.

European Child & Adolescent Psychiatry
|October 21, 2017
PubMed

Insights

The Copenhagen Infant Mental Health Screening (CIMHS) effectively identifies early mental health issues in infants. This screening helps guide interventions and reduce developmental psychopathology risks.

Area of Science:

  • Child and Adolescent Psychiatry
  • Developmental Psychology
  • Public Health

Background:

  • Early identification of infant mental health problems is crucial for timely interventions.
  • Developmental psychopathology in early years requires effective screening tools.
  • General child health surveillance provides a platform for infant mental health assessment.

Purpose of the Study:

  • To investigate the Copenhagen Infant Mental Health Screening (CIMHS) as a service-setting-based measure.
  • To assess the utility of CIMHS within routine child health surveillance by community health nurses (CHN).
  • To determine the association between CIMHS identified problems and later child mental disorders.

Main Methods:

  • A population of 2973 infants was screened using CIMHS at 9-10 months.
  • A subsample (n=416) underwent detailed assessment at 1.5 years using parent interviews (CBCL, CHAT, ITSCL) and developmental scales (BSID).
  • Diagnoses followed ICD-10 for child mental disorders and DC:0-3R for parent-child relationship disorders; logistic regression was used for analysis.

Main Results:

  • CIMHS problems in sleep, feeding, emotions, attention, communication, and language were linked to a fivefold increased risk of child mental disorders.
  • Homo-type continuity was observed, with sleep and feeding problems showing a threefold increased risk for disorders in the same domains.
  • High CIMHS problem scores demonstrated 32% sensitivity and 86% specificity for identifying mental health issues.

Conclusions:

  • CIMHS is a valuable tool for identifying a wide range of infant mental health problems within general child health surveillance.
  • The screening results can effectively guide interventions for at-risk infants.
  • Integrating CIMHS into routine surveillance supports early detection and management of developmental psychopathology.

Keywords:
Child health surveillanceEarly identificationGeneral populationInfant mental healthMental disorderPredictive validity

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