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

Published online by Cambridge University Press:  24 October 2016

Bruce J. Ellis ,
Albertine J. Oldehinkel  and
Esther Nederhof
Bruce J. Ellis*
Affiliation:
University of Utah
Albertine J. Oldehinkel
Affiliation:
University of Groningen
Esther Nederhof
Affiliation:
University of Groningen
*
Address correspondence and reprint requests to: Bruce J. Ellis, Department of Psychology, University of Utah, 380 South 1530 East, Room 502, Salt Lake City, UT 84112; E-mail: bruce.ellis@psych.utah.edu.
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Abstract

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 The four patterns were also differentially associated with aggressive/rule-breaking behavior and withdrawn/depressed behavior.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.

Type
Regular Articles
Information
Development and Psychopathology , Volume 29 , Issue 3 , August 2017 , pp. 1001 - 1021
Copyright
Copyright © Cambridge University Press 2016 

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Footnotes

This research is part of the Tracking Adolescents’ Individual Lives Survey (TRAILS). Participating centers of TRAILS include various departments of the University Medical Center and University of Groningen, the Erasmus University Medical Center Rotterdam, the University of Utrecht, the Radboud Medical Center Nijmegen, and the Parnassia Bavo group, all in The Netherlands. TRAILS has been financially supported by various grants from the Netherlands Organization for Scientific Research (NOW; Medical Research Council Program Grant GB-MW 940-38-011, ZonMW Brainpower Grant 100-001-004, ZonMw Risk Behavior and Dependence Grant 60-60600-97-118, ZonMw Culture and Health Grant 261-98-710, Social Sciences Council Medium-Sized Investment Grants GB-MaGW 480-01-006 and GB-MaGW 480-07-001, Social Sciences Council Project Grants GB-MaGW 452-04-314 and GB-MaGW 452-06-004, NWO Large-Sized Investment Grant 175.010.2003.005, NWO Longitudinal Survey and Panel Funding 481-08-013). Additional funding for TRAILS was provided by the Dutch Ministry of Justice (WODC), the European Science Foundation (EuroSTRESS Project FP-006), Biobanking and Biomolecular Resources Research Infrastructure BBMRI-NL (CP 32), the participating universities, and Accare Center for Child and Adolescent Psychiatry. We are grateful to all adolescents, their parents, and teachers who participated in this research and to everyone who worked on this project and made it possible.

References

Abidin, R. R. (1983). Parenting stress and the utilization of pediatric services. Children's Health Care: Journal of the Association for the Care of Children's Health, 11, 70–73.Google Scholar
Achenbach, T., & Rescorla, L. A. (2001). Manual for the ASEBA School-Age Forms and Profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth and Families Google Scholar
Achenbach, T. M. (1991). Manual for the Youth Self-Report and 1991 profile. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Alkon, A., Boyce, W. T., Tran, L., Harley, K. G., Neuhaus, J., & Eskenazi, B. (2014). Prenatal adversities and Latino children's autonomic nervous system reactivity trajectories from 6 months to 5 years of age. PlOS ONE, 9, e86283.Google Scholar
Beauchaine, T. P. (2001). Vagal tone, development, and Gray's motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Development and Psychopathology, 13, 183–214.CrossRefGoogle ScholarPubMed
Belsky, J., Steinberg, L., & Draper, P. (1991). Childhood experience, interpersonal development and reproductive strategy: An evolutionary theory of socialization. Child Development, 62, 647–670.Google Scholar
Benjamin, L. S. (1963). Statistical treatment of the law of initial values (LIV) in autonomic research: A review and recommendation. Psychosomatic Medicine, 25, 556–566.Google Scholar
Berry, D., Blair, C., Willoughby, M., Granger, D. A., Mills-Koonce, W. R., & Family Life Project Key Investigators (2016). Maternal sensitivity and adrenocortical functioning across infancy and toddlerhood: Physiological adaptation to context? Development and Psychopathology. Advance online publication.Google ScholarPubMed
Bosch, N. M., Riese, H., Reijneveld, S. A., Bakker, M. P., Verhulst, F. C., Ormel, J., & Oldehinkel, A. J. (2012). Timing matters: Long term effects of adversities from prenatal period up to adolescence on adolescents’ cortisol stress response. The TRAILS study. Psychoneuroendocrinology, 37, 1439–1447.CrossRefGoogle ScholarPubMed
Bouma, E. M. C., Riese, H., Ormel, J., Verhulst, F. C., & Oldehinkel, A. J. (2009). Adolescents' cortisol responses to awakening and social stress: Effects of gender, menstrual phase and oral contraceptives. The TRAILS study. Psychoneuroendocrinology, 34, 884–893. doi:10.1016/j.psyneuen.2009.01.003 CrossRefGoogle ScholarPubMed
Boyce, W. T., & Ellis, B. J. (2005). Biological sensitivity to context: I. An evolutionary–developmental theory of the origins and functions of stress reactivity. Development and Psychopathology, 17, 271–301.CrossRefGoogle ScholarPubMed
Boyce, W. T., Quas, J., Alkon, A., Smider, N. A., Essex, M. J., & Kupfer, D. J. (2001). Autonomic reactivity and psychopathy in middle childhood. British Journal of Psychiatry, 179, 144–150.CrossRefGoogle Scholar
Bruce, J., Fisher, P., Pears, K., & Levine, S. (2009). Morning cortisol levels in preschool aged foster children: Differential effects of maltreatment type. Developmental Psychobiology, 51, 14–23.CrossRefGoogle ScholarPubMed
Buschgens, C. J. M., Swinkels, S. H. N., van Aken, M. A. G., Ormel, J., Verhulst, F. C., & Buitelaar, J. K. (2009). Externalizing behaviors in preadolescents: Familial risk to externalizing behaviors, prenatal and perinatal risks, and their interactions. European Child & Adolescent Psychiatry, 18, 65–74.CrossRefGoogle ScholarPubMed
Calkins, S. D., Graziano, P. A., & Keane, S. P. (2007). Cardiac vagal regulation differentiates among children at risk for behavior problems. Biological Psychology, 74, 144–153.Google Scholar
Calkins, S. D., & Keane, S. P. (2004). Cardiac vagal regulation across the preschool period: Stability, continuity, and implications for childhood adjustment. Developmental Psychobiology, 45, 101–112.CrossRefGoogle ScholarPubMed
Chisholm, J. S. (1999). Death, hope and sex: Steps to an evolutionary ecology of mind and morality. New York: Cambridge University Press.Google Scholar
Conradt, E., Abar, B., Sheinkopf, S., Lester, B., Lagasse, L., Seifer, R., … Hinckley, M. (2014). The role of prenatal substance exposure and early adversity on parasympathetic functioning from 3 to 6 years of age. Developmental Psychobiology, 56, 821–835.Google Scholar
Costa, P. T. J., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and the Five-Factor Inventory (NEO-FFI): Professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Dahl, R. E., & Gunnar, M. R. (2009). Heightened stress responsiveness and emotional reactivity during pubertal maturation: Implications for psychopathology. Development and Psychopathology, 21, 1–6.Google Scholar
De Bellis, M. D., Baum, A. S., Birmaher, B., Keshavan, M. S., Eccard, C. H., Boring, A. M., … Ryan, N. D. (1999). Developmental traumatology. Part I: Biological stress systems. Biological Psychiatry, 45, 1259–1270.Google Scholar
Del Giudice, M., Ellis, B. J., & Shirtcliff, E. A. (2011). The adaptive calibration model of stress responsivity. Neuroscience & Biobehavioral Reviews, 35, 1562–1592.Google Scholar
Del Giudice, M., Hinnant, J. B., Ellis, B. J., & El-Sheikh, M. (2012). Adaptive patterns of stress responsivity: A preliminary investigation. Developmental Psychology, 48, 775–790.Google Scholar
de Winter, A. F., Oldehinkel, A. J., Veenstra, R., Brunnekreef, J. A., Verhulst, F. C., & Ormel, J. (2005). Evaluation of non-response bias in mental health determinants and outcomes in a large sample of pre-adolescents. European Journal of Epidemiology, 20, 173–181.Google Scholar
Dietrich, A., Riese, H., Sondeijker, F. E. P. L., Greaves-Lord, K., van Roon, A. M., Ormel, J., … Rosmalen, J. G. M. (2007). Externalizing and internalizing problems in relation to autonomic function: A population-based study in preadolescents. Journal of the American Academy of Child & Adolescent Psychiatry, 46, 378–386.Google Scholar
Ellis, B. J., & Del Giudice, M. (2014). Beyond allostatic load: Rethinking the role of stress in regulating human development. Development and Psychopathology, 26, 1–20.Google Scholar
Ellis, B. J., Del Giudice, M., Dishion, T. J., Figueredo, A. J., Gray, P., Griskevicius, V., … Wilson, D. S. (2012). The evolutionary basis of risky adolescent behavior: Implications for science, policy, and practice. Developmental Psychology, 48, 598–623.Google Scholar
Ellis, B. J., Del Giudice, M., & Shirtcliff, E. A. (2013). Beyond allostatic load: The stress response system as a mechanism of conditional adaptation. In Beauchaine, T. P. & Hinshaw, S. P. (Eds.), Child and adolescent psychopathology (2nd ed., pp. 251–284). Hoboken, NJ: Wiley.Google Scholar
Ellis, B. J., Essex, M. J., & Boyce, W. T. (2005). Biological sensitivity to context: II. Empirical explorations of an evolutionary–developmental theory. Development and Psychopathology, 17, 303–328.CrossRefGoogle ScholarPubMed
Ellis, B. J., Figueredo, A. J., Brumbach, B. H., & Schlomer, G. L. (2009). Fundamental dimensions of environmental risk: The impact of harsh versus unpredictable environments on the evolution and development of life history strategies. Human Nature, 20, 204–268.CrossRefGoogle ScholarPubMed
Ellis, B. J., Jackson, J. J., & Boyce, W. T. (2006). The stress response system: Universality and adaptive individual differences. Developmental Review, 26, 175–212.CrossRefGoogle Scholar
El-Sheikh, M., & Erath, S. A. (2011). Family conflict, autonomic nervous system functioning, and child adaptation: State of the science and future directions. Development and Psychopathology, 23, 703–721.Google Scholar
El-Sheikh, M., Hinnant, J. B., & Erath, S. (2011). Developmental trajectories of delinquency symptoms in childhood: The role of marital conflict and autonomic nervous system activity. Journal of Abnormal Psychology, 120, 16–32.CrossRefGoogle ScholarPubMed
Epstein, N., Balswin, L., & Bishop, D. (1983). The McMaster family assessment device. Journal of Marital and Family Therapy, 9, 171–180. doi:10.1111/j.1752-0606.1983.tb01497.x Google Scholar
Essex, M. J., Klein, M. H., Cho, E., & Kalin, N. H. (2002). Maternal stress beginning in infancy may sensitize children to later stress exposure: Effects on cortisol and behavior. Biological Psychiatry, 52, 776–784.Google Scholar
Essex, M. J., Shirtcliff, E. A., Burk, L. R., Ruttle, P. L., Klein, M. H., Slattery, M. J., … Armstrong, J. M. (2011). Influence of early life stress on later hypothalamic–pituitary–adrenal axis functioning and its covariation with mental health symptoms. Development and Psychopathology, 23, 1039–1058.Google Scholar
Evans, B. E., Greaves-Lord, K., Euser, A. S., Tulen, J. H., Franken, I. H., & Huizink, A. C. (2013). Determinants of physiological and perceived physiological stress reactivity in children and adolescents. PLOS ONE, 8, e61724.CrossRefGoogle ScholarPubMed
Evans, G. W., & Kim, P. (2007). Childhood poverty and health: Cumulative risk exposure and stress dysregulation. Psychological Science, 18, 953–956.Google Scholar
Flaherty, B. P., & Kiff, C. J. (2012). Latent class and latent profile models. In Cooper, H. (ed.), APA handbook of research methods in psychology: Vol. 3. Data analysis and research publication (pp. 391–404). Washington, DC: American Psychological Association.Google Scholar
Figueredo, A. J., Vásquez, G., Brumbach, B. H., Schneider, S. M., Sefcek, J. A., Tal, I. R., … Jacobs, W. J. (2006). Consilience and life history theory: From genes to brain to reproductive strategy. Developmental Review, 26, 243–275.Google Scholar
Figueredo, A. J., Wolf, P. S. A., Olderbak, S. G., Gladden, P. R., Fernandes, H. B. F., Wenner, C., … Rushton, J. P. (2014). The psychometric assessment of human life history strategy: A meta-analytic construct validation. Evolutionary Behavioral Sciences, 8, 148–185.CrossRefGoogle Scholar
Forbes, E. E., & Dahl, R. E. (2010). Pubertal development and behavior: Hormonal activation of social and motivational tendencies. Brain and Cognition, 72, 66–72.CrossRefGoogle ScholarPubMed
Gazelle, H., & Druhen, M. J. (2009). Anxious solitude and peer exclusion predict social helplessness, upset affect, and vagal regulation in response to behavioral rejection by a friend. Developmental Psychology, 45, 1077–1096.CrossRefGoogle ScholarPubMed
Gunnar, M. R., & Vazquez, D. (2006). Stress neurobiology and developmental psychopathology. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology (Vol. 2, pp. 533–568). New York: Wiley.Google Scholar
Gustafsson, P. E., Anckarsäter, H., Lichtenstein, P., Nelson, N., & Gustafsson, P. A. (2010). Does quantity have a quality all its own? Cumulative adversity and up- and down-regulation of circadian salivary cortisol levels in healthy children. Psychoneuroendocrinology, 35, 1410–1415.Google Scholar
Hackman, D. A., Betancourt, L. M., Brodsky, N. L., Kobrin, L., Hurt, H., & Farah, M. J. (2013). Selective impact of early parental responsivity on adolescent stress reactivity. PLOS ONE, 8, e58250.CrossRefGoogle ScholarPubMed
Hill, K. (1993). Life history theory and evolutionary anthropology. Evolutionary Anthropology, 2, 78–88.CrossRefGoogle Scholar
Hill-Soderlund, A. L., Mills-Koonce, W. R., Propper, C., Calkins, S. D., Granger, D. A., Moore, G. A., … Cox, M. J. (2008). Parasympathetic and sympathetic responses to the strange situation in infants and mothers from avoidant and securely attached dyads. Developmental Psychobiology, 50, 361–376.Google Scholar
Hinnant, J. B., & El-Sheikh, M. (2009). Children's externalizing and internalizing symptoms over time: The role of individual differences in patterns of RSA responding. Journal of Abnormal Child Psychology, 37, 1049–1061.CrossRefGoogle ScholarPubMed
Hinnant, J. B., & El-Sheikh, M. (2013). Codevelopment of externalizing and internalizing symptoms in middle to late childhood: Sex, baseline respiratory sinus arrhythmia, and respiratory sinus arrhythmia reactivity as predictors. Development and Psychopathology, 25, 419–436.Google Scholar
Hoekstra, H. A., Ormel, J., & de Fruyt, F. (2007). NEO-PI-R en NEO-FFI persoonlijkheidsvragenlijsten: Handleiding. Amsterdam: Hogrefe Uitgevers B.B. Google Scholar
James, J., Ellis, B. J., Schlomer, G. L., & Garber, J. (2012). Sex-specific pathways to early puberty, sexual debut and sexual risk-taking: Tests of an integrated evolutionary-developmental model. Developmental Psychology, 48, 687–702.Google Scholar
Kaplan, H. S., & Gangestad, S. W. (2005). Life history theory and evolutionary psychology. In Buss, D. M. (Ed.), Handbook of evolutionary psychology (pp. 68–95). New York: Wiley.Google Scholar
Kirschbaum, C., Pirke, K. M., & Hellhammer, D. H. (1993). The trier social stress test—A tool for investigating psychobiological stress responses in a laboratory setting. Neuropsychobiology, 28, 76–81.Google Scholar
Kirschbaum, C., Read, G. F., & Hellhammer, D. (1992). Assessment of hormones and drugs in saliva in biobehavioral research. Goettingen: Hogrefe & Huber.Google Scholar
Koolhaas, J. M., Bartolomucci, A., Buwalda, B., de Boer, S. F., Flügge, G., Korte, S. M., … Fuchs, E. (2011). Stress revisited: A critical evaluation of the stress concept. Neuroscience & Biobehavioral Reviews, 35, 1291–1301.CrossRefGoogle ScholarPubMed
Korte, S. M., Koolhaas, J. M., Wingfield, J. C., & McEwen, B. S. (2005). The Darwinian concept of stress: Benefits of allostasis and costs of allostatic load and the trade-offs in health and disease. Neuroscience & Biobehavioral Reviews, 29, 3–38.Google Scholar
Laurent, H. K., Neiderhiser, J. M., Natsuaki, M. N., Shaw, D. S., Fisher, P. A., Reiss, D., & Leve, L. D. (2014). Stress system development from age 4.5 to 6: Family environment predictors and adjustment implications of HPA activity stability versus change. Developmental Psychobiology, 56, 340–354.CrossRefGoogle ScholarPubMed
Lubke, G. H., & Muthén, B. (2007). Performance of factor mixture models as a function of model size, criterion measure effects, and class-specific parameters. Structural Equation Modeling, 14, 26–47.Google Scholar
Luecken, L. J., Kraft, A., & Hagan, M. J. (2009). Negative relationships in the family-of-origin predict attenuated cortisol in emerging adults. Hormones and Behavior, 55, 412–417.Google Scholar
Macrì, S., Zoratto, F., & Laviola, G. (2011) Early-stress regulates resilience, vulnerability and experimental validity in laboratory rodents through mother-offspring hormonal transfer. Neuroscience & Biobehavioral Reviews, 35, 1534–1543.CrossRefGoogle ScholarPubMed
Markus, M. T., Lindhout, I. E., Boer, F., Hoogendijk, T. H. G., & Arrindell, W. A. (2003). Factors of perceived parental rearing styles: The EMBU-C examined in a sample of Dutch primary school children. Personality and Individual Differences, 34, 503–519.CrossRefGoogle Scholar
Marsh, H. W., Lüdtke, O., Trautwein, U., & Morin, A. J. (2009). Classical latent profile analysis of academic self-concept dimensions: Synergy of person- and variable-centered approaches to theoretical models of self-concept. Structural Equation Modeling, 16, 191–225.Google Scholar
Marsman, R., Nederhof, E., Rosmalen, J. G., Oldehinkel, A. J., Ormel, J., & Buitelaar, J. K. (2012). Family environment is associated with HPA-axis activity in adolescents. The TRAILS study. Biological Psychology, 89, 460–466.Google Scholar
Mulder, L. J. M., van Dellen, H. J., van der Meulen, P., & Opheikens, B. (1988). CARSPAN: A spectral analysis program for cardiovascular time series. In Maarse, F. J., Mulder, L. J. M., & Akkerman, A. (Eds.), Computers in psychology: Methods, instrumentation and psychodiagnostics (pp. 39–47). Amsterdam: Swets and Zeitlinger.Google Scholar
Muthen, B. (2003). Statistical and substantive checking in growth mixture modeling: Comment on Bauer and Curran (2003). Psychological Methods, 8, 369–377.Google Scholar
Nederhof, E., Jorg, F., Raven, D., Veenstra, R., Verhulst, F. C., Ormel, J., & Oldehinkel, A. J. (2012). Benefits of extensive recruitment effort persist during follow-ups and are consistent across age group and survey method. The TRAILS study. BMC Medical Research Methodology, 12, 93. doi:10.1186/1471-2288-12-93 Google Scholar
Nettle, D., Coall, D. A., & Dickins, T. E. (2011). Early-life conditions and age at first pregnancy in British women. Proceedings of the Royal Society B, 278, 1721–1727.Google Scholar
Obradović, J. (2012). How can the study of physiological reactivity contribute to our understanding of adversity and resilience processes in development? Development and Psychopathology, 24, 371–387.Google Scholar
Obradović, J., Bush, N. R., Stamperdahl, J., Adler, N. E., & Boyce, W. T. (2010). Biological sensitivity to context: The interactive effects of stress reactivity and family adversity on socioemotional behavior and school readiness. Child Development, 81, 270–289.CrossRefGoogle ScholarPubMed
Oldehinkel, A. J., Hartman, C. A., de Winter, A. F., Veenstra, R., & Ormel, J. (2004). Temperament profiles associated with internalizing and externalizing problems in preadolescence. Development and Psychopathology, 16, 421–440.Google Scholar
Oldehinkel, A. J., Ormel, J., Bosch, N. M., Bouma, E., van Roon, A. M., Rosmalen, J. G., & Riese, H. (2011). Stressed out? Associations between perceived and physiological stress responses in adolescents: The TRAILS study. Psychophysiology, 48, 441–452.Google Scholar
Oldehinkel, A. J., Ormel, J., Verhulst, F. C., & Nederhof, E. (2014). Childhood adversities and adolescent depression: A matter of both risk and resilience. Development and Psychopathology, 26, 1067–1075.Google Scholar
Oldehinkel, A. J., Rosmalen, J. G., Buitelaar, J. K., Hoek, H. W., Ormel, J., Raven, D., … Hartman, C. A. (2014). Cohort profile update: The TRacking Adolescents’ Individual Lives Survey (TRAILS). International Journal of Epidemiology. Advance online publication. doi:10.1093/ije/dyu225Google ScholarPubMed
Ormel, J., Oldehinkel, A. J., Sijtsema, J., van Oort, F., Raven, D., Veenstra, R., … Verhulst, F. C. (2012). The TRacking Adolescents' Individual Lives Survey (TRAILS): Design, current status, and selected findings. Journal of the American Academy of Child & Adolescent Psychiatry, 51, 1020–1036.Google Scholar
Pang, K. C., & Beauchaine, T. P. (2013). Longitudinal patterns of autonomic nervous system responding to emotion evocation among children with conduct problems and/or depression. Developmental Psychobiology, 55, 698–706.Google Scholar
Parker, K. J., & Maestripieri, D. (2011). Identifying key features of early stressful experiences that produce stress vulnerability and resilience in primates. Neuroscience & Biobehavioral Reviews, 35, 1466–1483.CrossRefGoogle ScholarPubMed
Peckins, M. K., Susman, E. J., Negriff, S., Noll, J., & Trickett, P. K. (2015). Cortisol profiles: A test for adaptive calibration of the stress response system in maltreated and nonmaltreated youth. Development and Psychopathology, 27, 1461–1470.Google Scholar
Porges, S. W., Doussard-Roosevelt, J. A., & Maiti, A. K. (1994). Vagal tone and the physiological regulation of emotion. Monographs of the Society for Research in Child Development, 59, 167–186.Google Scholar
Putnam, S. P., Ellis, L. K., & Rothbart, M. K. (2001). The structure of temperament from infancy through adolescence. In Eliasz, A. & Angleitner, A. (Eds.), Advances in research on temperament (pp. 165–182). Lengerich: Pabst Science Publishers.Google Scholar
Quas, J. A., Yim, I. S., Oberlander, T. F., Nordstokke, D., Essex, M. J., Armstrong, J. M., & Boyce, W. T. (2014). The symphonic structure of childhood stress reactivity: Patterns of sympathetic, parasympathetic, and adrenocortical responses to psychological challenge. Development and Psychopathology, 26, 963–982.Google Scholar
Robbe, H. W., Mulder, L. J., Ruddel, H., Langewitz, W. A., Veldman, J. B., & Mulder, G. (1987). Assessment of baroreceptor reflex sensitivity by means of spectral analysis. Hypertension, 10, 538–543.Google Scholar
Rottenberg, J. (2007). Cardiac vagal control in depression: A critical analysis. Biological Psychology, 74, 200–211.CrossRefGoogle ScholarPubMed
Sijtsema, J. J., Nederhof, E., Veenstra, R., Ormel, J., Oldehinkel, A. J., & Ellis, B. J. (2013). Effects of family cohesion and heart rate reactivity on aggressive/rule-breaking behavior and prosocial behavior in adolescence. The Tracking Adolescents' Individual Lives Survey study. Development and Psychopathology, 25, 699–712.Google Scholar
Tarullo, A. R., & Gunnar, M. R. (2006). Child maltreatment and the developing HPA axis. Hormones and Behavior, 50, 632–639.Google Scholar
Thayer, J. F., & Lane, R. D. (2009). Claude Bernard and the heart–brain connection: Further elaboration of a model of neurovisceral integration. Neuroscience & Biobehavioral Reviews, 33, 81–88.Google Scholar
van Ryzin, M. J., Chatham, M., Kryzer, E., Kertes, D. A., & Gunnar, M. R. (2009). Identifying atypical cortisol patterns in young children: The benefits of group-based trajectory modeling. Psychoneuroendocrinology, 34, 50–61.Google Scholar
Verhulst, F. C., van der Ende, J., & Koot, H. M. (1997). Handleiding voor de Youth Self-Report (YSR). Rotterdam: Sophia Kinderziekenhuis/Academisch Ziekenhuis Rotterdam/Erasmus Universiteit Rotterdam, Afdeling Kinder-en Jeugdpsychiatrie.Google Scholar
Vigil, J. M., Geary, D. C., Granger, D. A., & Flinn, M. V. (2010). Sex differences in salivary cortisol, alpha-amylase, and psychological functioning following Hurricane Katrina. Child Development, 81, 1228–1240.Google Scholar
Vollebergh, W., ten Have, M., Dekovic, M., Oosterwegel, A., Pels, T., Veenstra, R., … Verhulst, F. (2005). Mental health in immigrant children in the Netherlands. Social Psychiatry and Psychiatric Epidemiology, 40, 489–496. doi:10.1007/s00127-005-0906-1 Google Scholar
Yehuda, R. (2002). Post-traumatic stress disorder. New England Journal of Medicine, 346, 108–114.CrossRefGoogle ScholarPubMed
Zisner, A. R., & Beauchaine, T. P. (2016). Psychophysiological methods and developmental psychopathology. In Cicchetti, D. (Ed.), Developmental psychopathology: Vol. 2. Developmental neuroscience (3rd ed., pp. 832–884). Hoboken, NJ: Wiley.Google Scholar