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Pathways from early adversity to later adjustment: Tests of the additive and bidirectional effects of executive control and diurnal cortisol in early childhood

Published online by Cambridge University Press:  10 May 2019

Liliana J. Lengua ,
Stephanie F. Thompson ,
Lyndsey R. Moran ,
Maureen Zalewski ,
Erika J. Ruberry ,
Melanie R. Klein  and
Cara J. Kiff
Liliana J. Lengua*
Affiliation:
Department of Psychology, University of Washington, Seattle, WA, USA
Stephanie F. Thompson
Affiliation:
Department of Psychology, University of Washington, Seattle, WA, USA
Lyndsey R. Moran
Affiliation:
Boston Child Study Center, Boston, MA, USA
Maureen Zalewski
Affiliation:
Department of Psychology, University of Oregon, Eugene, OR, USA
Erika J. Ruberry
Affiliation:
Department of Psychology, University of Washington, Seattle, WA, USA
Melanie R. Klein
Affiliation:
Department of Psychology, University of Washington, Seattle, WA, USA
Cara J. Kiff
Affiliation:
Semel Institute, UCLA, Los Angeles, CA, USA
*
Author for Correspondence: Liliana Lengua, Department of Psychology, University of Washington, Box 351525, Seattle, WA98195; E-mail: [email protected].
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Abstract

Additive and bidirectional effects of executive control and hypothalamic–pituitary–adrenal (HPA) axis regulation on children's adjustment were examined, along with the effects of low income and cumulative risk on executive control and the HPA axis. The study utilized longitudinal data from a community sample of preschool age children (N = 306, 36–39 months at Time 1) whose families were recruited to overrepresent low-income contexts. We tested the effects of low income and cumulative risk on levels and growth of executive control and HPA axis regulation (diurnal cortisol level), the bidirectional effects of executive control and the HPA axis on each other, and their additive effects on children's adjustment problems, social competence and academic readiness. Low income predicted lower Time 4 executive control, and cumulative risk predicted lower Time 4 diurnal cortisol level. There was little evidence of bidirectional effects of executive control and diurnal cortisol. However, both executive control and diurnal cortisol predicted Time 4 adjustment, suggesting additive effects. There were indirect effects of income on all three adjustment outcomes through executive control, and of cumulative risk on adjustment problems and social competence through diurnal cortisol. The results provide evidence that executive control and diurnal cortisol additively predict children's adjustment and partially account for the effects of income and cumulative risk on adjustment.

Keywords

adjustmentcumulative riskearly childhood executive controlhypothalamic–pituitary–adrenal axisincome
Type
Regular Articles
Information
Development and Psychopathology , Volume 32 , Issue 2 , May 2020 , pp. 545 - 558
Copyright
Copyright © Cambridge University Press 2019

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References

Ackerman, B. P., Brown, E. D., & Izard, C. E. (2004). The relations between contextual risk, earned income, and the school adjustment of children from economically disadvantaged families. Developmental Psychology, 40, 204.CrossRefGoogle ScholarPubMed
Adam, E. K., & Gunnar, M. R. (2001). Relationship functioning and home and work demands predict individual differences in diurnal cortisol patterns in women. Psychoneuroendocrinology, 26(2), 189–208.CrossRefGoogle ScholarPubMed
Alink, L. R., van IJzendoorn, M. H., Bakermans-Kranenburg, M. J., Mesman, J., Juffer, F., & Koot, H. M. (2008). Cortisol and externalizing behavior in children and adolescents: Mixed meta-analytic evidence for the inverse relation of basal cortisol and cortisol reactivity with externalizing behavior. Developmental psychobiology, 50, 427–450.CrossRefGoogle ScholarPubMed
Arnsten, A. F. (2009). Stress signalling pathways that impair prefrontal cortex structure and function. Nature Reviews Neuroscience, 10, 410–422.CrossRefGoogle ScholarPubMed
Ashman, S. B., Dawson, G., Panagiotides, H., Yamada, E., & Wilkson, C. W. (2002). Stress hormone levels of children of depressed mothers. Development and Psychopathology, 14, 333–349.CrossRefGoogle ScholarPubMed
Badanes, L. S., Watamura, S. E., & Hankin, B. L. (2011). Hypocortisolism as a potential marker of allostatic load in children: Associations with family risk and internalizing disorders. Developmental Psychopathology, 23, 881–896.CrossRefGoogle ScholarPubMed
Barbain, O., Bryant, D., McCandies, T., Burchinal, M., Early, D., Clifford, R., … Howes, C. (2006). Children enrolled in public pre-K: The relation of family life, neighborhood quality, and socioeconomic resources to early competence. American Journal of Orthopsychiatry, 76, 265–276.CrossRefGoogle Scholar
Best, J. R., & Miller, P. H. (2010). A developmental perspective on executive function. Child Development, 81, 1641–1660.CrossRefGoogle ScholarPubMed
Blair, C. (2010). Stress and the development of self-regulation in context. Child Development Perspectives, 4, 181–188.CrossRefGoogle ScholarPubMed
Blair, C., Granger, D. A., Willoughby, M., Mills-Koonce, R., Cox, M., Greenberg, M. T., … FLP Investigators. (2011). Salivary cortisol mediates effects of poverty and parenting on executive functions in early childhood. Child Development, 82, 1970–1984.CrossRefGoogle ScholarPubMed
Blair, C., & Raver, C. C. (2012). Individual development and evolution: Experiential canalization of self-regulation. Developmental Psychology, 48, 647–657.CrossRefGoogle ScholarPubMed
Blair, C., & Razza, R. (2007). Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. Child Development, 78, 647–663.CrossRefGoogle ScholarPubMed
Bridgett, D. J., & Mayes, L. C. (2011). Development of inhibitory control among prenatally cocaine exposed and non-cocaine exposed youths from late childhood to early adolescence: The effects of gender and risk and subsequent aggressive behavior. Neurotoxicology and Teratology, 33, 47–60.CrossRefGoogle ScholarPubMed
Brooks-Gunn, J., & Duncan, G. J. (1997). The effects of poverty on children. Future of Children: Children and Poverty, 7, 55–71.CrossRefGoogle Scholar
Brown, S. M., Henning, S., & Wellman, C. L. (2005). Mild, short-term stress alters dendritic morphology in rat medial prefrontal cortex. Cerebral Cortex, 15, 1714–1722.CrossRefGoogle ScholarPubMed
Bruce, J., Davis, E. P., & Gunnar, M. R. (2002). Individual differences in children's cortisol response to the beginning of a new school year. Psychoneuroendocrinology, 27, 635–650.CrossRefGoogle ScholarPubMed
Bruce, J., Fisher, P. A., Pears, K. C., & Levine, S. (2009). Morning cortisol Levels in preschool-aged foster children: Differential effects of maltreatment type. Developmental Psychobiology, 51, 14–23. doi:10.1002/dev.20333CrossRefGoogle ScholarPubMed
Buckner, J. C., Mezzacappa, E., & Beardslee, W. R. (2003). Characteristics of resilient youths living in poverty: The role of self-regulatory processes. Development and Psychopathology, 15, 139–162.CrossRefGoogle ScholarPubMed
Bush, N. R., Obradović, J., Adler, N., & Boyce, W. T. (2011). Kindergarten stressors and cumulative adrenocortical activation: The “first straws” of allostatic load? Development and Psychopathology, 23, 1089–1106.CrossRefGoogle ScholarPubMed
Cerqueira, J. J., Mailliet, F., Almeida, O. F., Jay, T. M., & Sousa, N. (2007). The prefrontal cortex as a key target of the maladaptive response to stress. Journal of Neuroscience, 27, 2781–2787.CrossRefGoogle ScholarPubMed
Class, Q. A., Abel, K. M., Khashan, A. S., Rickert, M. E., Dalman, C., Larsson, H., … D'Onofrio, B. M. (2014). Offspring psychopathology following preconception, prenatal and postnatal maternal bereavement stress. Psychological Medicine, 44, 71–84. doi:10.1017/S0033291713000780CrossRefGoogle ScholarPubMed
Clements, A. D., & Parker, R. C. (1998). The relationship between salivary cortisol concentrations in frozen versus mailed samples. Psychoneuroendocrinology, 23, 613–616.CrossRefGoogle ScholarPubMed
Collins, L. M., Schafer, J. L., & Kam, C. M. (2001). A comparison of inclusive and restrictive strategies in modeling missing data procedures. Psychological Methods, 6, 330–351.CrossRefGoogle Scholar
Conger, R. D., & Elder, G. H. Jr. (1994). Families in troubled times. New York: de Gruyter.Google Scholar
Davis, E. P., Bruce, J., & Gunnar, M. R. (2002). The anterior attention network: Associations with temperament and neuroendocrine activity in 6-year-old children. Developmental Psychobiology, 40, 43–56.CrossRefGoogle ScholarPubMed
De Kloet, E. R. (1991). Brain Corticosteroid receptor balance and homeostatic control. Frontiers in Neuroendocrinology, 12, 95–64.Google Scholar
Devine, R. T., Bignardi, G., & Hughes, C. (2016). Executive function mediates the relations between parental behaviors and children's early academic ability. Frontiers in Psychology, 7, 1902. doi:10.3389/fpsyg.2016.01902CrossRefGoogle ScholarPubMed
Dowd, J. B., Simanek, A. M., & Aiello, A. E. (2009). Socio-economic status, cortisol and allostatic load: A review of the literature. International Journal of Epidemiology, 38, 1297–1309.CrossRefGoogle ScholarPubMed
Duncan, G. J., Ziol-Guest, K. M., & Kalil, A. (2010). Early-childhood poverty and adult attainment, behavior, and health. Child Development, 81, 306–325.CrossRefGoogle Scholar
Eisenberg, N., Valiente, C., Fabes, R., Smith, C., Reiser, M., Shepard, S., … Cumberland, A. J. (2003). The relations of effortful control and ego control to children's resiliency and social functioning. Developmental Psychology, 39, 761–776.CrossRefGoogle ScholarPubMed
El-Sheikh, M., Erath, S. A., Buckhalt, J. A., Granger, D. A., & Mize, J. (2008). Cortisol and children's adjustment: The moderating role of sympathetic nervous system activity. Journal of Abnormal Child Psychology, 36, 601–611.CrossRefGoogle ScholarPubMed
Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430–457. doi.org/10.1207/S15328007SEM0803_5CrossRefGoogle Scholar
Evans, G. W. (2003). A multimethodological analysis of cumulative risk and allostatic load among rural children. Developmental Psychology, 39, 761–776.CrossRefGoogle ScholarPubMed
Evans, G. W., & English, K. (2002). The environment of poverty: Multiple stressor exposure, psychophysiological stress, and socioeconomic adjustment. Child Development, 73, 1238–1248.CrossRefGoogle Scholar
Evans, G. W., Li, D., & Whipple, S. S. (2013). Cumulative risk and child development. Psychological Bulletin, 139, 1342.CrossRefGoogle ScholarPubMed
Fernald, L. C., Burke, H. M., & Gunnar, M. R. (2008). Salivary cortisol levels in children of low-income women with high depressive symptomatology. Developmental Psychopathology, 20, 423–436.CrossRefGoogle ScholarPubMed
Furay, A. R., Bruestle, A. E., & Herman, J. P. (2008). The role of the forebrain glucocorticoid receptor in acute and chronic stress. Endocrinology, 149, 5482–5490.CrossRefGoogle ScholarPubMed
Gerstadt, C. L., Hong, Y. L., & Diamond, A. (1994). The relationship between cognition and action: Performance of children 3.5–7 years old on a Stroop-like day-night test. Cognition, 53, 129–153.CrossRefGoogle Scholar
Gresham, F. M., & Elliot, S. N. (1990). Social Skills Rating System. Circle Pines, MN: American Guidance Service.Google Scholar
Gunnar, M. (2016). Early life stress: What is the human chapter of the mammalian story? Child Development Perspectives, 10, 178–183.CrossRefGoogle Scholar
Gunnar, M. R., Sebanc, A. M., Tout, K., Donzella, B., & van Dulmen, M. M. H. (2003). Peer rejection, temperament, and cortisol activity in preschoolers. Developmental Psychobiology, 43, 346–358.CrossRefGoogle ScholarPubMed
Gunnar, M. R., Tout, K., de Haan, M., Pierce, S., & Stansbury, K. (1997). Temperament, social competence, and adrenocortical activity in preschoolers. Developmental Psychobiology, 31, 65–85.3.0.CO;2-S>CrossRefGoogle ScholarPubMed
Gunnar, M. R., & Vazquez, D. M. (2001). Low cortisol and a flattening of expected daytime rhythm: Potential indices of risk in human development. Development and Psychopathology, 13, 515–538. doi:10.1017/S0954579401003066CrossRefGoogle 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.CrossRefGoogle ScholarPubMed
Hughes, C., & Ensor, R. (2009). Independence and interplay between maternal and child risk factors for preschool problem behaviors? International Journal of Behavioral Development, 33, 312–322.CrossRefGoogle Scholar
Hughes, C., Ensor, R., Wilson, A., & Graham, A. (2010). Tracking executive function across the transition to school: A latent variable approach. Developmental Neuropsychology, 35, 1, 20–36. doi:10.1080/87565640903325691CrossRefGoogle ScholarPubMed
Huizink, A. C., Bartels, M., Rose, R. J., Pulkkinen, L., Eriksson, C. J. P., & Kaprio, J. (2008). Chernobyl exposure as stressor during pregnancy and hormone levels in adolescent offspring. Journal of Epidemiology and Community Health, 62, e5.CrossRefGoogle ScholarPubMed
Kiff, C. J., Lengua, L. J., & Bush, N. (2011). Temperament variations in sensitivity to parenting: Predicting changes in depression and anxiety. Journal of Abnormal Child Psychology, 39, 1199–1212.CrossRefGoogle Scholar
Kim, K., Conger, R. D., Elder, G. H., & Lorenz, F. O. (2003). Reciprocal influences between stressful life events and adolescent internalizing and externalizing problems. Child Development, 74, 127–143.CrossRefGoogle ScholarPubMed
King, K., Lengua, L., & Monahan, K. (2013). Differentiating executive and motivational components of self-regulation: Differences in trajectories, predictors and adjustment. Journal of Abnormal Child Psychology, 41, 57–69, doi:10.1007/s10802-012-9665-0.CrossRefGoogle Scholar
Kirschbaum, C., Steyer, R., Eid, M., Patalla, U., Schwenkmezger, P., & Hellhammer, D. H. (1990). Cortisol and behavior: Application of a latent state-trait model to salivary cortisol. Psychoneuroendocrinology, 15, 297–307.CrossRefGoogle ScholarPubMed
Kochanska, G., Murray, K. T., Jacques, T., Koenig, A., & Vandegeest, K. (1996). Inhibitory control in young children and its role in emerging internalization. Child Development, 67, 490–507.CrossRefGoogle ScholarPubMed
Korkman, M., Kirk, U., & Kemp, S. (1998). NEPSY: A Developmental Neuropsychological Assessment. San Antonio, TX: Psychological Corporation.Google Scholar
Laurent, H. K., Neiderhiser, J. M., Natsuaki, M. N., Shaw, D. S., Fisher, P. A., Reiss, D., & Leve, L. D. (2013). 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
Lengua, L. J. (2003). Associations among emotionality, self-regulation, adjustment problems and positive adjustment in middle childhood. Journal of Applied Developmental Psychology, 24, 595–618.CrossRefGoogle Scholar
Lengua, L. J., Honorado, E., & Bush, N. (2007). Contextual risk and parenting as predictors of effortful control and social competence in preschool children. Journal of Applied Developmental Psychology, 28, 40–55.CrossRefGoogle ScholarPubMed
Lengua, L. J., Kiff, C., Moran, L., Zalewski, M., Thompson, S., Cortes, R., & Ruberry, E. (2014). Parenting mediates the effects of income and cumulative risk on the development of effortful control. Social Development, 23, 631–649.CrossRefGoogle Scholar
Lengua, L. J., Moran, L. R., Zalewski, M., Ruberry, E., Kiff, C., & Thompson, S. (2014). Relations of growth in effortful control to family income, cumulative risk, and adjustment in preschool-age children. Journal of Abnormal Child Psychology. dx.doi.org/10.1007/s10802-014-9941-2Google Scholar
Lengua, L. J., Zalewski, M., Fisher, P., & Moran, L. (2013). Does HPA-axis dysregulation account for the effects of income on effortful control and adjustment in preschool children? Infant and Child Development, 22, 439–458. DOI: 10.1002/icd.1805, NIHMS599969CrossRefGoogle ScholarPubMed
Li, J., Olsen, J., Vestergaard, M., & Obel, C. (2010). Attention-deficit/hyperactivity disorder in the offspring following prenatal maternal bereavement: A nationwide follow-up study in Denmark. European Journal of Child and Adolescent Psychiatry, 19, 747–753.CrossRefGoogle ScholarPubMed
Liberzon, I., King, A. P., Britton, J. C., Phan, K. L., Abelson, J. L., & Taylor, S. F. (2007). Paralimbic and medial prefrontal cortical involvement in neuroendocrine responses to traumatic stimuli. American Journal of Psychiatry, 164, 1250–1258.CrossRefGoogle ScholarPubMed
Li-Grining, C. P. (2007). Effortful control among low-income preschoolers in three cities: Stability, change, and individual differences. Developmental Psychology, 43, 208–221.CrossRefGoogle ScholarPubMed
Linver, M., Brooks-Gunn, J., & Kohen, D. (2002). Family processes as pathways from income to young children's development. Developmental Psychology, 38, 719–734.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Martin, M. J., Davies, P. T., Cummings, E. M., & Cicchetti, D. (2017). The mediating roles of cortisol reactivity and executive functioning difficulties in the pathways between childhood histories of emotional insecurity and adolescent school problems. Development and Psychopathology, 29, 1483–1498. doi:S0954579417000402CrossRefGoogle ScholarPubMed
McEwen, B. S. (2012). Brain on stress: How the social environment gets under the skin. Proceedings of the National Academy of Sciences, 109(Suppl. 2), 17180–17185.CrossRefGoogle ScholarPubMed
McLaughlin, K. A., Green, J. G., Gruber, M. J., Sampson, N. A., & Zaslavski, A. M. (2012). Child hood adversities and first onset of psychiatric disorders in a national sample of US adolescents. Archives of General Psychiatry, 69, 1151–1160.CrossRefGoogle Scholar
McLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014). Childhood adversity and neural development: Deprivation and threat as distinct dimensions of early experience. Neuroscience and Biobehavioral Reviews, 47, 578–591.CrossRefGoogle ScholarPubMed
McLoyd, V. C. (1998). Socioeconomic disadvantage and child development. American Psychologist, 53, 185–204.CrossRefGoogle ScholarPubMed
Mezzacappa, E. (2004). Alerting, orienting, and executive attention: Developmental properties and sociodemographic correlates in an epidemiological sample of young, urban children. Child Development, 75, 1373–1386.CrossRefGoogle Scholar
Miller, G. E., Chen, E., & Zhou, E. S. (2007). If it goes up, must it come down? Chronic stress and hypothalamic-pituitary-adrenocortical axis in humans. Psychological Bulletin, 133, 25–45.CrossRefGoogle ScholarPubMed
Mistry, R., Benner, A., Biesanz, J., Clark, S., & Howes, C. (2010). Family and social risk, and parental investments during the early childhood years as predictors of low-income children's school readiness outcomes. Early Childhood Research Quarterly, 25, 432–449.CrossRefGoogle Scholar
Mistry, R. S., Vandewater, E. A., Huston, A. C., & McLoyd, V. C. (2002). Economic well-being and children's social adjustment: The role of family process in an ethnically diverse low-income sample. Child Development, 73, 935–951.CrossRefGoogle Scholar
Muris, P., van der Pennen, E., Sigmond, R., & Mayer, B. (2008). Symptoms of anxiety, depression, and aggression in non-clinical children: Relationships with self-report and performance-based measures of attention and effortful control. Child Psychiatry & Human Development, 39, 455–467.CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. O. (2010). Mplus user's guide (6th ed.). Los Angeles: Author.Google Scholar
Obradovic, J., Long, J. D., Cutuli, J. J., Chan, C., Hinz, E., Heistad, D., & Masten, A. S. (2009). Academic achievement of homeless and highly mobile children in an urban school district: Longitudinal evidence on risk, growth, and resilience. Development and Psychopathology, 21, 493–518.CrossRefGoogle Scholar
Obradovic, J., Portilla, X. A., & Ballard, P. J. (2016). Biological sensitivity to family income: Differential effects on early executive functioning. Child Development, 87, 374–384.CrossRefGoogle ScholarPubMed
O'Donnell, K. (2008). Parents’ Reports of the School Readiness of Young Children from the National Household Education Surveys Program of 2007 (NCES 2008–051). Washington, DC: US Department of Education, National Center for Education Statistics, Institute of Education Sciences.Google Scholar
Ponitz, C. E., McClelland, M. M., Jewkes, A. M., Conner, C. M., Farris, C. L., & Morrison, F. J. (2008). Touch your toes! developing a direct measure of behavioral regulation in early childhood. Early Childhood Research Quarterly, 23, 141–158.CrossRefGoogle Scholar
Petterson, S. M., & Albers, A. B. (2001). Effects of poverty and maternal depression on early child development. Child Development, 72, 1794–1813.CrossRefGoogle ScholarPubMed
Phillips, N. K., Hammen, C. L, Brennan, P. A., Najman, J. M., & Bor, W. (2005). Early adversity and the prospective prediction of depressive and anxiety disorders in adolescents. Journal of Abnormal Child Psychology, 33, 13–24.CrossRefGoogle ScholarPubMed
Quas, J. A., Yim, I. A., 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.CrossRefGoogle ScholarPubMed
Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.CrossRefGoogle Scholar
Raver, C. C., Blackburn, E. K., Bancroft, M., & Torp, N. (1999). Relations between effective emotional self-regulation, attentional control, and low-income preschoolers’ social competence with peers. Early Education and Development, 10, 333–350.CrossRefGoogle Scholar
Raver, C. C., Blair, C., & Willoughby, M. (2013). Poverty as a predictor of 4-year-olds' executive function: New perspectives on models of differential susceptibility. Developmental Psychology, 49, 292.CrossRefGoogle ScholarPubMed
Reser, J. E. (2016). Chronic stress, cortical plasticity and neuroecology. Behavioural Processes, 129, 105–115.CrossRefGoogle ScholarPubMed
Ross, K. M., Murphy, M. L., Adam, E. K., Chen, E., & Miller, G. E. (2014). How stable are diurnal cortisol activity indices in healthy individuals? Evidence from three multi-wave studies. Psychoneuroendocrinology, 39, 184–193.CrossRefGoogle ScholarPubMed
Sandler, I., Ramirez, R., & Reynolds, K. (1986). General life events schedule for children. Paper presented at the annual meeting of the American Psychological Association, Washington, DC.Google Scholar
Sektnan, M., McClelland, M., Acock, A., & Morrison, F. (2010). Relations between early family risk, children's behavioral regulation, and academic achievement. Early Childhood Research Quarterly, 25, 464–479.CrossRefGoogle ScholarPubMed
Shields, G. S., Sazma, M. A., & Yonelinas, A. P. (2016). The effects of acute stress on core executive functions: A meta-analysis and comparison with cortisol. Neuroscience Biobehavioral Review, 68, 651–668. doi:10.1016/j.neubiorev.2016.06.038CrossRefGoogle ScholarPubMed
Ulrich-Lai, Y. M., & Herman, J. P. (2009). Neural regulation of endocrine and autonomic stress responses. Nature Reviews Neuroscience, 10, 397–409.CrossRefGoogle ScholarPubMed
US Department of Health & Human Services. (2010). Poverty guidelines, research, and measurement. Retrieved from http://aspe.hhs.gov/poverty/Google Scholar
Veer, I. M., Oei, N. Y. L., Spinhoven, P., van Buchem, M. A., Elzinga, B. M., & Rombouts, S. A. R. B. (2012). Endogenous cortisol is associated with functional connectivity between the amygdala and medial prefrontal cortex. Psychoneuroendocrinology, 37, 1039–1047.CrossRefGoogle ScholarPubMed
Watts, T. W., Duncan, G. J., & Quan, H. (2018). Revisiting the marshmallow test: A conceptual replication investigating links between early delay of gratification and later outcomes. Psychological Science, 29, 1159–1177. doi:10.1177/0956797618761661CrossRefGoogle ScholarPubMed
Zalewski, M., Lengua, L. J., Fisher, P., Trancik, A., Bush, N. R., & Meltzoff, A. N. (2012). Poverty and single parenting: Relations with preschoolers' cortisol and effortful control. Infant and Child Development, 21, 537–554. doi:10.1002/icd.1759CrossRefGoogle Scholar
Zalewski, M., Lengua, L. J., Kiff, C. J., & Fisher, P. A. (2012). Understanding the relation of low income to HPA-axis functioning in preschool children: Cumulative family risk and parenting as pathways to disruptions in cortisol. Child Psychiatry & Human Development, 43, 924–942.CrossRefGoogle ScholarPubMed
Zalewski, M., Lengua, L. J., Thompson, S., & Kiff, C. J. (2015). Income, cumulative risk and longitudinal profiles of hypothalamic-picuitary-adrenal axis activity in preschool age children. Development and Psychopathology, 28, 341–353. doi:10.1017/S0954579415000474CrossRefGoogle ScholarPubMed
Zelazo, P. D., Muller, U., Frye, D., & Marcovitch, S. (2003). The development of executive function in early childhood. Monographs of Society for Research in Child Development, 68(3, Serial No. 274).CrossRefGoogle ScholarPubMed