Kindergarten stressors and cumulative adrenocortical activation: the "first straws" of allostatic load?

Nicole R Bush1, Jelena Obradović, Nancy Adler

  • 1University of California, San Francisco, San Francisco, CA 94118, USA. BushN@chc.ucsf.edu

Insights

Cumulative stress impacts children's hypothalamic-pituitary-adrenocortical (HPA) axis regulation. Early life adversity and socioeconomic factors show U-shaped effects on HPA axis activity, influencing allostatic load.

Area of Science:

  • Developmental Psychology
  • Neuroendocrinology
  • Public Health

Background:

  • Allostatic load, a measure of cumulative stress, is linked to health outcomes.
  • The hypothalamic-pituitary-adrenocortical (HPA) axis is a key neurobiological system involved in stress response.
  • Early life experiences significantly shape neurobiological development and long-term health.

Purpose of the Study:

  • To investigate the impact of cumulative contextual stressors on HPA axis regulation in kindergarten children.
  • To examine early life indicators of allostatic load.
  • To explore potential curvilinear relationships between stressors and HPA axis activity.

Main Methods:

  • Longitudinal study of 338 ethnically diverse kindergarten children.
  • Assessed chronic HPA axis regulation via multiday cortisol measurements in fall and spring.
  • Utilized hierarchical linear regression to analyze contextual stressors (ethnic minority status, socioeconomic status, family adversity).

Main Results:

  • Contextual stressors uniquely predicted children's daily HPA activity.
  • Curvilinear (U-shaped) associations were observed between socioeconomic status, family adversity, and HPA axis regulation.
  • These associations differed between White and ethnic minority children, highlighting disparities.

Conclusions:

  • Early childhood experiences, including cumulative stressors, alter key neurobiological systems related to allostatic load.
  • Findings underscore the importance of early prevention and intervention programs.
  • Developmental theories and allostatic load models should incorporate curvilinear associations for more accurate predictive analyses.

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