4.3 Article

The adaptive calibration model of stress responsivity: An empirical test in the Tracking Adolescents' Individual Lives Survey study

期刊

DEVELOPMENT AND PSYCHOPATHOLOGY
卷 29, 期 3, 页码 1001-1021

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0954579416000985

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资金

  1. Netherlands Organization for Scientific Research (NOW
  2. Medical Research Council Program) [GB-MW 940-38-011]
  3. Netherlands Organization for Scientific Research (NOW
  4. ZonMW Brainpower Grant) [100-001-004]
  5. Netherlands Organization for Scientific Research (NOW
  6. ZonMw Culture and Health Grant) [261-98-710]
  7. Netherlands Organization for Scientific Research (NOW
  8. Social Sciences Council Medium-Sized Investment Grants) [GB-MaGW 480-01-006, GB-MaGW 480-07-001]
  9. Netherlands Organization for Scientific Research (NOW
  10. Social Sciences Council Project Grants) [GB-MaGW 452-04-314, GB-MaGW 452-06-004]
  11. Netherlands Organization for Scientific Research (NOW
  12. NWO Large-Sized Investment Grant) [175.010.2003.005]
  13. Netherlands Organization for Scientific Research (NOW
  14. NWO Longitudinal Survey and Panel Funding) [481-08-013]
  15. Dutch Ministry of Justice (WODC)
  16. European Science Foundation (EuroSTRESS Project) [FP-006]
  17. Biobanking and Biomolecular Resources Research Infrastructure BBMRI-NL [CP 32]
  18. Accare Center for Child and Adolescent Psychiatry
  19. Netherlands Organization for Scientific Research (NOW
  20. ZonMw Risk Behavior and Dependence Grant) [60-60600-97-118]

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The adaptive calibration model (ACM) is a theory of developmental programing focusing on calibration of stress response systems and associated life history strategies to local environmental conditions. In this article, we tested some key predictions of the ACM in a longitudinal study of Dutch adolescent males (11-16 years old; N = 351). Measures of sympathetic, parasympathetic, and adrenocortical activation, reactivity to, and recovery from social-evaluative stress validated the four-pattern taxonomy of the ACM via latent profile analysis, though with some deviations from expected patterns. The physiological profiles generally showed predicted associations with antecedent measures of familial and ecological conditions and life stress; as expected, high- and low-responsivity patterns were found under both low-stress and high-stress family conditions. The four patterns were also differentially associated with aggressive/rule-breaking behavior and withdrawn/depressed behavior. This study provides measured support for key predictions of the ACM and highlights important empirical issues and methodological challenges for future research.

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