Evidence for discrete profiles of children's physiological activity across three neurobiological system and their

Danielle S Roubinov1, William T Boyce1,2, Matthew R Lee3

  • 1Department of Psychiatry, University of California, California, USA.

Insights

This study identified three distinct physiological response patterns in young children during their kindergarten transition, revealing stable individual differences in stress system activity and their links to socioemotional adjustment.

Area of Science:

  • Child development
  • Psychophysiology
  • Stress research

Background:

  • Theoretical models suggest integrated stress-responsive systems, but empirical research on multisystem activity complexity is limited.
  • Developmentally regulated changes in multisystem activity during early childhood, a period of high plasticity, remain understudied.

Purpose of the Study:

  • To evaluate multisystem activity patterns using latent profile analysis (LPA) during the transition to kindergarten.
  • To examine the stability of these patterns over time using latent transition analysis (LTA).
  • To associate identified patterns with socioemotional outcomes.

Main Methods:

  • Latent profile analysis (LPA) was used to identify distinct profiles of physiological activity.
  • Latent transition analysis (LTA) assessed the stability of these profiles across two time points (fall and spring).
  • Three biological systems were examined: parasympathetic nervous system (PNS), sympathetic nervous system (SNS), and hypothalamic pituitary adrenal (HPA) axis.

Main Results:

  • Three distinct profiles of multisystem activity emerged: HPA Axis Responders, Active Copers/Mobilizers, and Anticipatory Arousal/ANS Responders.
  • Latent transition analysis indicated higher stability in profile classifications across time, suggesting consistent patterns of physiological responsivity.
  • Profile stability and change were associated with socioemotional outcomes at the end of the school year.

Conclusions:

  • LPA and LTA are effective methods for analyzing complex multisystem physiological activity.
  • Distinct and stable patterns of physiological activity exist in young children during a key developmental transition.
  • These physiological patterns are linked to early socioemotional adjustment, highlighting their importance for understanding child development.

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