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Related Experiment Video

Updated: Mar 16, 2026

Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants
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Underlying factor structure of perinatal events

R S Dean1, J W Gray, J L Anderson

  • 1Neuropsychology Laboratory, Ball State University, Muncie, IN 47306, USA.

The International Journal of Neuroscience
|February 1, 1996
PubMed
Summary
This summary is machine-generated.

This study analyzed perinatal events in 847 children, identifying ten key factors. These factors provide insights into child development and potential risks, supporting the use of perinatal data in assessments.

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Area of Science:

  • Perinatal health
  • Child development
  • Developmental psychology

Background:

  • Perinatal events can significantly impact child development.
  • Understanding the factor structure of perinatal events is crucial for early identification of developmental issues.
  • Previous research has explored links between perinatal factors and various childhood disorders.

Purpose of the Study:

  • To examine the underlying factor structure of perinatal events in a large cohort of children.
  • To determine the proportion of variance in child outcomes attributable to perinatal factors.
  • To assess the clinical relevance and utility of perinatal information in understanding child development.

Main Methods:

  • Principle-components factor analysis was applied to perinatal data.
  • Data was collected using the Maternal Perinatal Scale.
  • The study included 847 children across different developmental and diagnostic groups.

Main Results:

  • Ten distinct factors accounting for 58% of the total variance were identified.
  • The isolated factors generally aligned with existing clinical observations.
  • Significant variations in perinatal event patterns were observed across different child groups.

Conclusions:

  • The identified factors offer a structured framework for understanding perinatal influences on child development.
  • Perinatal information, when analyzed through factor analysis, demonstrates utility in clinical assessments.
  • Further research can leverage these factors for improved prediction and intervention strategies in child health.