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Social Determinants of Self-Regulation Development

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Social Neuroscience and Public Health

Abstract

Self-regulation refers to the ability to control cognition and behavior while delaying gratification. This set of processes develops across the life course. Self-regulation had a direct impact on health, income, and interpersonal relationships. A growing body of evidence is unveiling the association between early adversity and deficits in self-regulation development. Lack of stimulation and exposure to toxic levels of stress are two proposed mechanisms by which early adversity exerts its deleterious influence on self-regulation development. Moreover, poverty-related biological and chemical risks may also affect child development prenatally. Cumulative exposures to environmental, biological, and psychosocial risks may also account for the divergent trajectories between high and low socioeconomic backgrounds. The first part of this chapter describes the role of self-regulation in health outcomes and how it develops under normal conditions. The second half addresses the influence of social determinants on such development.

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Notes

  1. 1.

    Different dimensions of self-regulation have been examined over time under different terms: willpower (Metcalfe and Mischel 1999), hyperbolic discounting (Loewenstein and Elster 1992), grit (Duckworth et al. 2007), effortful control (Kochanska et al. 2000), self-control (Baumeister 2002), time preference (Fishburn and Rubinstein 1982), etc.

References

  • Anstey, K. J., Windsor, T. D., Jorm, A. F., Christensen, H., & Rodgers, B. (2004). Association of pulmonary function with cognitive performance in early, middle and late adulthood. Gerontology, 50(4), 230–234.

    Article  PubMed  Google Scholar 

  • Ardila, A., Pineda, D., & Rosselli, M. (2000). Correlation between intelligence test scores and executive function measures. Archives of Clinical Neuropsychology, 15(1), 31–36.

    PubMed  CAS  Google Scholar 

  • Arffa, S. (2007). The relationship of intelligence to executive function and non-executive function measures in a sample of average, above average, and gifted youth. Archives of Clinical Neuropsychology, 22(8), 969–978.

    Article  PubMed  Google Scholar 

  • Arnsten, A. F. (1998). The biology of being frazzled. Science, 280(5370), 1711–1712.

    Article  PubMed  CAS  Google Scholar 

  • Ayduk, O., Mendoza-Denton, R., Mischel, W., Downey, G., Peake, P. K., & Rodriguez, M. (2000). Regulating the interpersonal self: strategic self-regulation for coping with rejection sensitivity. Journal of Personality and Social Psychology, 79(5), 776–792.

    Article  PubMed  CAS  Google Scholar 

  • Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive functions: constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65–94.

    Article  PubMed  CAS  Google Scholar 

  • Barkley, R. A. (2001). The executive functions and self-regulation: an evolutionary neuropsychological perspective. Neuropsychology Review, 11(1), 1–29.

    Article  PubMed  CAS  Google Scholar 

  • Bateson, P. (1979). How do sensitive periods arise and what are they for? Animal Behaviour, 27(2), 470–486.

    Article  Google Scholar 

  • Batty, G. D., Deary, I. J., & Macintyre, S. (2006). Childhood IQ and life course socioeconomic position in relation to alcohol induced hangovers in adulthood: the Aberdeen children of the 1950s study. Journal of Epidemiology and Community Health, 60(10), 872–874.

    Article  PubMed  Google Scholar 

  • Batty, G. D., Deary, I. J., & Macintyre, S. (2007a). Childhood IQ in relation to risk factors for premature mortality in middle-aged persons: the Aberdeen Children of the 1950s study. Journal of Epidemiology and Community Health, 61(3), 241–247.

    Article  PubMed  Google Scholar 

  • Batty, G. D., Deary, I. J., Schoon, I., & Gale, C. R. (2007b). Mental ability across childhood in relation to risk factors for premature mortality in adult life: the 1970 British Cohort Study. Journal of Epidemiology and Community Health, 61(11), 997–1003.

    Article  PubMed  Google Scholar 

  • Batty, G. D., Mortensen, L. H., Gale, C. R., & Deary, I. J. (2008). Is low IQ related to risk of death by homicide? Testing a hypothesis using data from the Vietnam Experience Study. Psychiatry Research, 161(1), 112–115.

    Article  PubMed  Google Scholar 

  • Baumeister, R. F. (2002). Ego depletion and self-control failure: an energy model of the self’s executive function. Self and Identity, 1(2), 129–136.

    Article  Google Scholar 

  • Bogg, T., & Finn, P. R. (2010). A self-regulatory model of behavioral disinhibition in late adolescence: integrating personality traits, externalizing psychopathology, and cognitive capacity. Journal of Personality, 78(2), 441–470.

    Article  PubMed  Google Scholar 

  • Bogg, T., & Roberts, B. W. (2004). Conscientiousness and health-related behaviors: a meta-analysis of the leading behavioral contributors to mortality. Psychological Bulletin, 130(6), 887–919.

    Article  PubMed  Google Scholar 

  • Bolger, K. E., Patterson, C. J., Thompson, W. W., & Kupersmidt, J. B. (1995). Psychosocial adjustment among children experiencing persistent and intermittent family economic hardship. Child Development, 66(4), 1107–1129.

    Article  Google Scholar 

  • Boucher, O., Muckle, G., & Bastien, C. H. (2009). Prenatal exposure to polychlorinated biphenyls: a neuropsychologic analysis. Environmental Health Perspectives, 117(1), 7–16.

    PubMed  CAS  Google Scholar 

  • Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371–399.

    Article  PubMed  Google Scholar 

  • Bradley, R. H., Convyn, R. F., Burchinal, M., McAdoo, H. P., & Coll, C. G. (2001a). The home environments of children in the United States part II: relations with behavioral development through age thirteen. Child Development, 72(6), 1868–1886.

    Article  PubMed  CAS  Google Scholar 

  • Bradley, R. H., Corwyn, R. F., McAdoo, H. P., & Coll, C. G. (2001b). The home environments of children in the United States part I: variations by age, ethnicity, and poverty status. Child Development, 72(6), 1844–1867.

    Article  PubMed  CAS  Google Scholar 

  • Brooks-Gunn, J., & Duncan, G. J. (1997). The effects of poverty on children. The Future of Children, 7, 55–71.

    Article  PubMed  CAS  Google Scholar 

  • Carlson, S. M. (2003). Executive function in context: development, measurement, theory, and experience. Monographs of the Society for Research in Child Development, 68(3), 138–151.

    Article  PubMed  Google Scholar 

  • Caspi, A., Moffitt, T. E., Silva, P. A., Stouthamer-Loeber, M., Krueger, R. F., & Schmutte, P. S. (1994). Are some people crime-prone? Replications of the personality-crime relationship across countries, genders, races and methods. Criminology, 32(2), 163–196.

    Article  Google Scholar 

  • Caspi, A., Moffitt, T. E., Newman, D. L., & Silva, P. A. (1996). Behavioral observations at age 3 years predict adult psychiatric disorders. Longitudinal evidence from a birth cohort. Archives of General Psychiatry, 53(11), 1033–1039.

    Article  PubMed  CAS  Google Scholar 

  • Chandola, T., Deary, I. J., Blane, D., & Batty, G. D. (2006). Childhood IQ in relation to obesity and weight gain in adult life: the National Child Development (1958) Study. International Journal of Obesity, 30(9), 1422–1432.

    Article  PubMed  CAS  Google Scholar 

  • Clearfield, M. W., & Niman, L. C. (2012). SES affects infant cognitive flexibility. Infant Behavior and Development, 35(1), 29–35.

    Article  PubMed  Google Scholar 

  • Conger, R. D., & Donnellan, M. B. (2007). An interactionist perspective on the socioeconomic context of human development. Annual Review of Psychology, 58, 175–199.

    Article  PubMed  Google Scholar 

  • Cowan, N. (1998). Visual and auditory working memory capacity. Trends in Cognitive Sciences, 2(3), 77.

    Article  PubMed  CAS  Google Scholar 

  • Cronly-Dillon, J., & Perry, G. W. (1979). Effect of visual experience on tubulin synthesis during a critical period of visual cortex development in the hooded rat. Journal of Physiology, 293, 469–484.

    PubMed  CAS  Google Scholar 

  • D’Angiulli, A., Herdman, A., Stapells, D., & Hertzman, C. (2008). Children’s event-related potentials of auditory selective attention vary with their socioeconomic status. Neuropsychology, 22(3), 293–300.

    Article  PubMed  Google Scholar 

  • Danziger, S., & Stern, J. (1990). The causes and consequences of child poverty in the United States. Florence: Unicef International Child Development Centre.

    Google Scholar 

  • Davidson, M. C., Amso, D., Anderson, L. C., & Diamond, A. (2006). Development of cognitive control and executive functions from 4 to 13 years: evidence from manipulations of memory, inhibition, and task switching. Neuropsychologia, 44(11), 2037–2078.

    Article  PubMed  Google Scholar 

  • Dearing, E., McCartney, K., & Taylor, B. A. (2001). Change in family income-to-needs matters more for children with less. Child Development, 72(6), 1779–1793.

    Article  PubMed  CAS  Google Scholar 

  • Deary, I. J., & Der, G. (2005). Reaction time explains IQ’s association with death. Psychological Science, 16(1), 64–69.

    Article  PubMed  Google Scholar 

  • Diamond, A., & Lee, K. (2011). Interventions shown to aid executive function development in children 4 to 12 years old. Science, 333(6045), 959–964.

    Article  PubMed  CAS  Google Scholar 

  • Dougherty, D. M., Bjork, J. M., Harper, R. A., Marsh, D. M., Moeller, F. G., Mathias, C. W., et al. (2003). Behavioral impulsivity paradigms: a comparison in hospitalized adolescents with disruptive behavior disorders. Journal of Child Psychology and Psychiatry and Allied Disciplines, 44(8), 1145–1157.

    Article  Google Scholar 

  • Dougherty, D. M., Mathias, C. W., Marsh, D. M., & Jagar, A. A. (2005). Laboratory behavioral measures of impulsivity. Behavior Research Methods, 37(1), 82–90.

    Article  PubMed  Google Scholar 

  • Duckworth, A. L., & Kern, M. L. (2011). A meta-analysis of the convergent validity of self-control measures. Journal of Research in Personality, 45(3), 259–268.

    Article  PubMed  Google Scholar 

  • Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92(6), 1087–1101.

    Article  PubMed  Google Scholar 

  • Duncan, G. J. (2003). Modeling the impacts of child care quality on children’s preschool cognitive development. Child Development, 74(5), 1454–1475.

    Article  PubMed  Google Scholar 

  • Duncan, G. J., Yeung, W. J., Brooks-Gunn, J., & Smith, J. R. (1998). How much does childhood poverty affect the life chances of children? American Sociological Review, 63(3), 406–423.

    Article  Google Scholar 

  • Eakin, L., Minde, K., Hechtman, L., Ochs, E., Krane, E., Bouffard, R., et al. (2004). The marital and family functioning of adults with ADHD and their spouses. Journal of Attention Disorders, 8(1), 1–10.

    Article  PubMed  CAS  Google Scholar 

  • Eamon, M. K. (2005). Social-demographic, school, neighborhood, and parenting influences on the academic achievement of Latino young adolescents. Journal of Youth and Adolescence, 34(2), 163–174.

    Article  Google Scholar 

  • Edwards, S. C., Jedrychowski, W., Butscher, M., Camann, D., Kieltyka, A., Mroz, E., et al. (2010). Prenatal exposure to airborne polycyclic aromatic hydrocarbons and children’s intelligence at 5 years of age in a prospective cohort study in Poland. Environmental Health Perspectives, 118(9), 1326–1331.

    Article  PubMed  CAS  Google Scholar 

  • Eigsti, I. M., Zayas, V., Mischel, W., Shoda, Y., Ayduk, O., Dadlani, M. B., et al. (2006). Predicting cognitive control from preschool to late adolescence and young adulthood. Psychological Science, 17(6), 478–484.

    Article  PubMed  Google Scholar 

  • Eppig, C., Fincher, C. L., & Thornhill, R. (2010). Parasite prevalence and the worldwide distribution of cognitive ability. Proceedings of the Royal Society B: Biological Sciences, 277(1701), 3801–3808.

    Google Scholar 

  • Eppig, C., Fincher, C. L., & Thornhill, R. (2011). Parasite prevalence and the distribution of intelligence among the states of the USA. Intelligence, 39(2–3), 155–160.

    Article  Google Scholar 

  • Evans, G. W. (2004). The environment of childhood poverty. American Psychologist, 59(2), 77–92.

    Article  PubMed  Google Scholar 

  • Evans, G. W., & Schamberg, M. A. (2009). Childhood poverty, chronic stress, and adult working memory. Proceedings of the National Academy of Sciences of the United States of America, 106(16), 6545–6549.

    Article  PubMed  CAS  Google Scholar 

  • Evans, G. W., Fuller-Rowell, T. E., & Doan, S. N. (2012). Childhood cumulative risk and obesity: the mediating role of self-regulatory ability. Pediatrics, 129(1), e68–e73.

    Article  PubMed  Google Scholar 

  • Farah, M. J., Shera, D. M., Savage, J. H., Betancourt, L., Giannetta, J. M., Brodsky, N. L., et al. (2006). Childhood poverty: specific associations with neurocognitive development. Brain Research, 1110(1), 166–174.

    Article  PubMed  CAS  Google Scholar 

  • Farah, M. J., Betancourt, L., Shera, D. M., Savage, J. H., Giannetta, J. M., Brodsky, N. L., et al. (2008). Environmental stimulation, parental nurturance and cognitive development in humans. Developmental Science, 11(5), 793–801.

    Article  PubMed  Google Scholar 

  • Feinstein, L. (2003). Inequality in the early cognitive development of British children in the 1970 cohort. Economica, 70(277), 73–97.

    Article  Google Scholar 

  • Finn, P. R. (2002). Motivation, working memory, and decision making: a cognitive-motivational theory of personality vulnerability to alcoholism. Behavioral and Cognitive Neuroscience Reviews, 1(3), 183–205.

    Article  PubMed  Google Scholar 

  • Fishburn, P. C., & Rubinstein, A. (1982). Time preference. International Economic Review, 23(3), 677–694.

    Article  Google Scholar 

  • Friedman, N. P., Miyake, A., Corley, R. P., Young, S. E., Defries, J. C., & Hewitt, J. K. (2006). Not all executive functions are related to intelligence. Psychological Science, 17(2), 172–179.

    Article  PubMed  Google Scholar 

  • Garrett, P., Ng’andu, N., & Ferron, J. (1994). Poverty experiences of young children and the quality of their home environments. Child Development, 65(2 Spec No), 331–345.

    Google Scholar 

  • Gottfredson, L. S. (2004). Intelligence: is it the epidemiologists’ elusive “fundamental cause” of social class inequalities in health? Journal of Personality and Social Psychology, 86(1), 174–199.

    Article  PubMed  Google Scholar 

  • Gottfredson, L. S., & Deary, I. J. (2004). Intelligence predicts health and longevity, but Why? Current Directions in Psychological Science, 13(1), 1–4.

    Article  Google Scholar 

  • Graziano, P. A., Calkins, S. D., & Keane, S. P. (2010). Toddler self-regulation skills predict risk for pediatric obesity. International Journal of Obesity, 34(4), 633–641.

    Article  PubMed  CAS  Google Scholar 

  • Greenough, W. T., Black, J. E., & Wallace, C. S. (1987). Experience and brain development. Child Development, 58(3), 539–559.

    Article  PubMed  CAS  Google Scholar 

  • Gunnar, M. R., & Donzella, B. (2002). Social regulation of the cortisol levels in early human development. Psychoneuroendocrinology, 27(1–2), 199–220.

    Article  PubMed  CAS  Google Scholar 

  • Gunnar, M. R., & Quevedo, K. (2007). The neurobiology of stress and development. Annual Review of Psychology, 58, 145–173.

    Article  PubMed  Google Scholar 

  • Gunnell, D., Harbord, R., Singleton, N., Jenkins, R., & Lewis, G. (2009). Is low IQ associated with an increased risk of developing suicidal thoughts? A cohort study based on an 18-month follow-up of the national psychiatric morbidity survey. Social Psychiatry and Psychiatric Epidemiology, 44(1), 34–38.

    Article  PubMed  Google Scholar 

  • Hall, P. A., Fong, G. T., Epp, L. J., & Elias, L. J. (2008). Executive function moderates the intention-behavior link for physical activity and dietary behavior. Psychology and Health, 23(3), 309–326.

    Article  Google Scholar 

  • Hall, P. A., Dubin, J. A., Crossley, M., Holmqvist, M. E., & D’Arcy, C. (2009). Does executive function explain the IQ-mortality association? evidence from the Canadian study on health and aging. Psychosomatic Medicine, 71(2), 196–204.

    Article  PubMed  Google Scholar 

  • Hart, B., & Risley, T. R. (1995). Meaningful differences in the everyday experience of young American children. Baltimore: Paul H. Brookes.

    Google Scholar 

  • Hart, C. L., Taylor, M. D., Smith, G. D., Whalley, L. J., Starr, J. M., Hole, D. J., et al. (2004). Childhood IQ and cardiovascular disease in adulthood: prospective observational study linking the Scottish Mental Survey 1932 and the Midspan studies. Social Science and Medicine, 59(10), 2131–2138.

    Article  PubMed  CAS  Google Scholar 

  • Hemmingsson, T., Essen, v J., Melin, B., Allebeck, P., & Lundberg, I. (2007). The association between cognitive ability measured at ages 18–20 and coronary heart disease in middle age among men: a prospective study using the Swedish 1969 conscription cohort. Social Science and Medicine, 65(7), 1410–1419.

    Article  PubMed  Google Scholar 

  • Hillman, C. H., Motl, R. W., Pontifex, M. B., Posthuma, D., Stubbe, J. H., Boomsma, D. I., et al. (2006). Physical activity and cognitive function in a cross-section of younger and older community-dwelling individuals. Health Psychology, 25(6), 678–687.

    Article  PubMed  Google Scholar 

  • Hinson, J. M., Jameson, T. L., & Whitney, P. (2003). Impulsive decision making and working memory. Journal of Experimental Psychology. Learning, Memory, and Cognition, 29(2), 298–306.

    Article  PubMed  Google Scholar 

  • Hongwanishkul, D., Happaney, K. R., Lee, W. S. C., & Zelazo, P. D. (2005). Assessment of hot and cool executive function in young children: age-related changes and individual differences. Developmental Neuropsychology, 28(2), 617–644.

    Article  PubMed  Google Scholar 

  • Huizinga, M., Dolan, C. V., & van der Molen, M. W. (2006). Age-related change in executive function: developmental trends and a latent variable analysis. Neuropsychologia, 44(11), 2017–2036.

    Article  PubMed  Google Scholar 

  • Jacques, S., Zelazo, P. D., Kirkham, N. Z., & Semcesen, T. K. (1999). Rule selection versus rule execution in preschoolers: an error-detection approach. Developmental Psychology, 35(3), 770–780.

    Article  PubMed  CAS  Google Scholar 

  • Jedrychowski, W., Perera, F. P., Jankowski, J., Mrozek-Budzyn, D., Mroz, E., Flak, E., et al. (2009). Very low prenatal exposure to lead and mental development of children in infancy and early childhood: Krakow prospective cohort study. Neuroepidemiology, 32(4), 270–278.

    Article  PubMed  Google Scholar 

  • Keeney, R. L. (2008). Personal decisions are the leading cause of death. Operations Research, 56(6), 1335–1347.

    Article  Google Scholar 

  • Kern, M. L., & Friedman, H. S. (2008). Do conscientious individuals live longer? A quantitative review. Health Psychology, 27(5), 505–512.

    Article  PubMed  Google Scholar 

  • Kerr, A., & Zelazo, P. D. (2004). Development of “hot” executive function: the children’s gambling task. Brain and Cognition, 55(1), 148–157.

    Article  PubMed  Google Scholar 

  • Kirkham, N. Z., Cruess, L., & Diamond, A. (2003). Helping children apply their knowledge to their behavior on a dimension-switching task. Developmental Science, 6(5), 449–467.

    Article  Google Scholar 

  • Kishiyama, M. M., Boyce, W. T., Jimenez, A. M., Perry, L. M., & Knight, R. T. (2009). Socioeconomic disparities affect prefrontal function in children. Journal of Cognitive Neuroscience, 21(6), 1106–1115.

    Article  PubMed  Google Scholar 

  • Kochanska, G., Murray, K. T., & Harlan, E. T. (2000). Effortful control in early childhood: continuity and change, antecedents, and implications for social development. Developmental Psychology, 36(2), 220–232.

    Article  PubMed  CAS  Google Scholar 

  • Korenman, S., Miller, J. E., & Sjaastad, J. E. (1995a). Long-term poverty and child development in the United States: results from the NLSY. Children and Youth Services Review, 17(1), 127–155.

    Article  Google Scholar 

  • Korenman, S., Miller, J. E., & Sjaastad, J. E. (1995b). Long-term poverty and child development in the United States: Results from the NLSY. Children and Youth Services Review, 17(1–2), 127–155.

    Article  Google Scholar 

  • Kray, J., Eber, J., & Lindenberger, U. (2004). Age differences in executive functioning across the lifespan: the role of verbalization in task preparation. Acta Psychologica, 115(2–3), 143–165.

    Article  PubMed  Google Scholar 

  • Lawlor, D. A., Clark, H., & Leon, D. A. (2007). Associations between childhood intelligence and hospital admissions for unintentional injuries in adulthood: the Aberdeen Children of the 1950s cohort study. American Journal of Public Health, 97(2), 291–297.

    Article  PubMed  Google Scholar 

  • Lengua, L. J., Honorado, E., & Bush, N. R. (2007). Contextual risk and parenting as predictors of effortful control and social competence in preschool children. Journal of Applied Developmental Psychology, 28(1), 40–55.

    Article  PubMed  Google Scholar 

  • Lillard, A. S., & Erisir, A. (2011). Old dogs learning new tricks: Neuroplasticity beyond the juvenile period. Developmental Review, 31(4), 207–239.

    Article  Google Scholar 

  • Linver, M. R., Brooks-Gunn, J., & Kohen, D. E. (2002). Family processes as pathways from income to young children’s development. Developmental Psychology, 38(5), 719–734.

    Article  PubMed  Google Scholar 

  • Lipina, S. J., & Colombo, J. A. (2009). Poverty and brain development during childhood: an approach from cognitive psychology and neuroscience. Washington: American Psychological Association.

    Book  Google Scholar 

  • Lipina, S. J., Martelli, M. I., Vuelta, B., & Colombo, J. A. (2005). Performance on the A-not-B task of argentinean infants from unsatisfied and satisfied basic needs homes. Interamerican Journal of Psychology, 39(1), 46–60.

    Google Scholar 

  • Liston, C., Miller, M. M., Goldwater, D. S., Radley, J. J., Rocher, A. B., Hof, P. R., et al. (2006). Stress-induced alterations in prefrontal cortical dendritic morphology predict selective impairments in perceptual attentional set-shifting. Journal of Neuroscience, 26(30), 7870–7874.

    Article  PubMed  CAS  Google Scholar 

  • Liston, C., McEwen, B. S., & Casey, B. J. (2009). Psychosocial stress reversibly disrupts prefrontal processing and attentional control. Proceedings of the National Academy of Sciences, 106(3), 912–917.

    Article  CAS  Google Scholar 

  • Loewenstein, G., & Elster, J. (1992). Choice over time. New York: Russell Sage Foundation.

    Google Scholar 

  • Lupien, S. J., King, S., Meaney, M. J., & McEwen, B. S. (2001). Can poverty get under your skin? Basal cortisol levels and cognitive function in children from low and high socioeconomic status. Development and Psychopathology, 13(03), 653–676.

    Article  Google Scholar 

  • Lupien, S. J., McEwen, B. S., Gunnar, M. R., & Heim, C. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience, 10(6), 434–445.

    Article  PubMed  CAS  Google Scholar 

  • Lyons, D. M., Lopez, J. M., Yang, C., & Schatzberg, A. F. (2000). Stress-level cortisol treatment impairs inhibitory control of behavior in monkeys. Journal of Neuroscience, 20(20), 7816–7821.

    PubMed  CAS  Google Scholar 

  • McLeod, J. D., & Nonnemaker, J. M. (2000). Poverty and child emotional and behavioral problems: racial/ethnic differences in processes and effects. Journal of Health and Social Behavior, 41(2), 137–161.

    Article  Google Scholar 

  • McLeod, J. D., & Shanahan, M. J. (1993). Poverty, parenting, and children’s mental health. American Sociological Review, 58(3), 351–366.

    Article  Google Scholar 

  • Metcalfe, J., & Mischel, W. (1999). A hot/cool-system analysis of delay of gratification: dynamics of willpower. Psychological Review, 106(1), 3–19.

    Article  PubMed  CAS  Google Scholar 

  • Mezzacappa, E. (2004). Alerting, orienting, and executive attention: developmental properties and sociodemographic correlates in an epidemiological sample of young, urban children. Child Development, 75(5), 1373–1386 (2004). 10.1111/j.1467-8624.2004.00746.x.

  • Mischel, W., Shoda, Y., & Peake, P. K. (1988). The nature of adolescent competencies predicted by preschool delay of gratification. Journal of Personality and Social Psychology, 54(4), 687–696.

    Article  PubMed  CAS  Google Scholar 

  • Mischel, W., Shoda, Y., & Rodriguez, M. I. (1989). Delay of gratification in children. Science, 244(4907), 933–938.

    Article  PubMed  CAS  Google Scholar 

  • Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: a latent variable analysis. Cognitive Psychology, 41(1), 49–100.

    Article  PubMed  CAS  Google Scholar 

  • Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., et al. (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences of the United States of America, 108(7), 2693–2698.

    Article  PubMed  CAS  Google Scholar 

  • Munakata, Y., & Yerys, B. E. (2001). All together now: when dissociations between knowledge and action disappear. Psychological Science, 12(4), 335–337.

    Article  PubMed  CAS  Google Scholar 

  • Nederkoorn, C., Guerrieri, R., Havermans, R. C., Roefs, A., & Jansen, A. (2009). The interactive effect of hunger and impulsivity on food intake and purchase in a virtual supermarket. International Journal of Obesity, 33(8), 905–912.

    Article  PubMed  CAS  Google Scholar 

  • Nichd, E. C. C. R. N. (2005). Duration and developmental timing of poverty and children’s cognitive and social development from birth through third grade. Child Development, 76(4), 795–810.

    Article  Google Scholar 

  • Nichols, S. L., & Waschbusch, D. A. (2004). A review of the validity of laboratory cognitive tasks used to assess symptoms of ADHD. Child Psychiatry and Human Development, 34(4), 297–315.

    Article  PubMed  Google Scholar 

  • Nigg, J. T. (2000). On inhibition/disinhibition in developmental psychopathology: views from cognitive and personality psychology and a working inhibition taxonomy. Psychological Bulletin, 126(2), 220–246.

    Article  PubMed  CAS  Google Scholar 

  • Nigg, J. T., Wong, M. M., Martel, M. M., Jester, J. M., Puttler, L. I., Glass, J. M., et al. (2006). Poor response inhibition as a predictor of problem drinking and illicit drug use in adolescents at risk for alcoholism and other substance use disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 45(4), 468–475.

    Article  PubMed  Google Scholar 

  • Noble, K. G., Norman, M. F., & Farah, M. J. (2005). Neurocognitive correlates of socioeconomic status in kindergarten children. Developmental Science, 8(1), 74–87.

    Article  PubMed  Google Scholar 

  • Osler, M., Andersen, A. M., Due, P., Lund, R., Damsgaard, M. T., & Holstein, B. E. (2003). Socioeconomic position in early life, birth weight, childhood cognitive function, and adult mortality. A longitudinal study of Danish men born in 1953. Journal of Epidemiology and Community Health, 57(9), 681–686.

    Article  PubMed  CAS  Google Scholar 

  • Osler, M., Andersen, A. M., Laursen, B., & Lawlor, D. A. (2007). Cognitive function in childhood and early adulthood and injuries later in life: the Metropolit 1953 male birth cohort. International Journal of Epidemiology, 36(1), 212–219.

    Article  PubMed  Google Scholar 

  • O’Toole, B. I., & Stankov, L. (1992). Ultimate validity of psychological tests. Personality and Individual Differences, 13(6), 699–716.

    Article  Google Scholar 

  • Parsons, E. J. C. (1984). An investigation of appropriate neuropsychological assessment procedures with adults in the higher intelligence ranges. San Diego Campus: United States International University.

    Google Scholar 

  • Pavlik, V. N., Hyman, D. J., & Doody, R. (2005). Cardiovascular risk factors and cognitive function in adults 30–59 years of age (NHANES III). Neuroepidemiology, 24(1–2), 42–50.

    Article  PubMed  Google Scholar 

  • Pollak, S. D. (2005). Early adversity and mechanisms of plasticity: integrating affective neuroscience with developmental approaches to psychopathology. Development and Psychopathology, 17(3), 735–752.

    Article  PubMed  Google Scholar 

  • Prencipe, A., & Zelazo, P. D. (2005). Development of affective decision making for self and other: evidence for the integration of first- and third-person perspectives. Psychological Science, 16(7), 501–505.

    Article  PubMed  Google Scholar 

  • Radel, R., & Clement-Guillotin, C. (in press). Evidence of motivational influences in early visual perception: hunger modulates conscious access. Psychological Science.

    Google Scholar 

  • Sethi, A., Mischel, W., Aber, J. L., Shoda, Y., & Rodriguez, M. L. (2000). The role of strategic attention deployment in development of self-regulation: predicting preschoolers’ delay of gratification from mother-toddler interactions. Developmental Psychology, 36(6), 767–777.

    Article  PubMed  CAS  Google Scholar 

  • Shallice, T., & Burgess, P. (1996). The domain of supervisory processes and temporal organization of behaviour. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 351(1346), 1405–1411 (discussion 1411–1402).

    Google Scholar 

  • Sheffer, C. E., Stitzer, M., Landes, R., Brackman, S. L., Munn, T., & Moore, P. (2012). Socioeconomic disparities in community-based treatment of tobacco dependence. American Journal of Public Health, 102(3), e8–e16.

    Article  PubMed  Google Scholar 

  • Shipley, B. A., Der, G., Taylor, M. D., & Deary, I. J. (2006). Cognition and all-cause mortality across the entire adult age range: health and lifestyle survey. Psychosomatic Medicine, 68(1), 17–24.

    Article  PubMed  Google Scholar 

  • Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L., & Toga, A. W. (1999). In vivo evidence for post-adolescent brain maturation in frontal and striatal regions. Nature Neuroscience, 2(10), 859–861.

    Article  PubMed  CAS  Google Scholar 

  • Starr, J. M., Taylor, M. D., Hart, C. L., Davey Smith, G., Whalley, L. J., Hole, D. J., et al. (2004). Childhood mental ability and blood pressure at midlife: linking the Scottish Mental Survey 1932 and the Midspan studies. Journal of Hypertension, 22(5), 893–897.

    Article  PubMed  CAS  Google Scholar 

  • Stevens, C., Lauinger, B., & Neville, H. (2009). Differences in the neural mechanisms of selective attention in children from different socioeconomic backgrounds: an event-related brain potential study. Development Science, 12(4), 634–646.

    Article  Google Scholar 

  • Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and social psychology review, 8(3), 220–247.

    Article  PubMed  Google Scholar 

  • Stringhini, S., Sabia, S., Shipley, M., Brunner, E., Nabi, H., Kivimaki, M., et al. (2010). Association of socioeconomic position with health behaviors and mortality. JAMA, the Journal of the American Medical Association, 303(12), 1159–1166.

    Article  CAS  Google Scholar 

  • Stuss, D. T., Murphy, K. J., Binns, M. A., & Alexander, M. P. (2003). Staying on the job: the frontal lobes control individual performance variability. Brain, 126(Pt 11), 2363–2380.

    Article  PubMed  Google Scholar 

  • Tang, D., Li, T. Y., Liu, J. J., Zhou, Z. J., Yuan, T., Chen, Y. H., et al. (2008). Effects of prenatal exposure to coal-burning pollutants on children’s development in China. Environmental Health Perspectives, 116(5), 674–679.

    Article  PubMed  Google Scholar 

  • Tarter, R. E., Kirisci, L., Mezzich, A., Cornelius, J. R., Pajer, K., Vanyukov, M., et al. (2003). Neurobehavioral disinhibition in childhood predicts early age at onset of substance use disorder. American Journal of Psychiatry, 160(6), 1078–1085.

    Article  PubMed  Google Scholar 

  • Taylor, M. D., Hart, C. L., Davey Smith, G., Starr, J. M., Hole, D. J., Whalley, L. J., et al. (2003). Childhood mental ability and smoking cessation in adulthood: prospective observational study linking the Scottish Mental Survey 1932 and the Midspan studies. Journal of Epidemiology and Community Health, 57(6), 464–465.

    Article  PubMed  CAS  Google Scholar 

  • Turkheimer, E., Haley, A., Waldron, M., D’Onofrio, B., & Gottesman, I. I. (2003). Socioeconomic status modifies heritability of IQ in young children. Psychological Science, 14(6), 623–628.

    Article  PubMed  Google Scholar 

  • Verbeken, S., Braet, C., Claus, L., Nederkoorn, C., & Oosterlaan, J. (2009). Childhood obesity and impulsivity: an investigation with performance-based measures. Behaviour Change, 26(3), 153–167.

    Article  Google Scholar 

  • Votruba-Drzal, E. (2003). Income changes and cognitive stimulation in young children’s home learning environments. Journal of Marriage and Family, 65(2), 341–355.

    Article  Google Scholar 

  • West, R., Murphy, K. J., Armilio, M. L., Craik, F. I., & Stuss, D. T. (2002). Lapses of intention and performance variability reveal age-related increases in fluctuations of executive control. Brain and Cognition, 49(3), 402–419.

    Article  PubMed  Google Scholar 

  • Whalley, L. J., & Deary, I. J. (2001). Longitudinal cohort study of childhood IQ and survival up to age 76. BMJ, 322(7290), 819.

    Article  PubMed  CAS  Google Scholar 

  • White, J., & Batty, G. D. (2011). Intelligence across childhood in relation to illegal drug use in adulthood: 1970 British Cohort Study. Journal of Epidemiology and Community Health, 66(9), 767–774.

    Google Scholar 

  • White, J. L., Moffitt, T. E., Caspi, A., Bartusch, D. J., Needles, D. J., & Stouthamer-Loeber, M. (1994). Measuring impulsivity and examining its relationship to delinquency. Journal of Abnormal Psychology, 103(2), 192–205.

    Article  PubMed  CAS  Google Scholar 

  • Williams, P. G., & Thayer, J. F. (2009). Executive functioning and health: introduction to the special series. Annals of Behavioral Medicine, 37(2), 101–105.

    Article  PubMed  Google Scholar 

  • Yarkoni, T., Barch, D. M., Gray, J. R., Conturo, T. E., & Braver, T. S. (2009). BOLD correlates of trial-by-trial reaction time variability in gray and white matter: a multi-study fMRI analysis. PLoS ONE, 4(1), e4257.

    Article  PubMed  CAS  Google Scholar 

  • Zelazo, P. D., Reznick, J. S., & Pinon, D. E. (1995). Response control and the execution of verbal rules. Developmental Psychology, 31, 508–517.

    Article  Google Scholar 

  • Zelazo, P. D., Frye, D., & Rapus, T. (1996). An age-related dissociation between knowing rules and using them. Cognitive Development, 11(1), 37–63.

    Article  Google Scholar 

  • Zelazo, P. D., Muller, U., Frye, D., Marcovitch, S., Argitis, G., Boseovski, J., Chiang, J. K., Hongwanishkul, D., Schuster, B. V., & Sutherland, A. (2003). The development of executive function in early childhood. Monographs of the Society for Research in Child Development, 68(3), vii–137.

    Google Scholar 

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Correspondence to Ezequiel M. Galarce .

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Highlights

Highlights

  1. 1.

    Self-regulation is involved in the top–down control of attentional, behavioral, and motivational processes. Self-regulation is thus associated with health behavioral maintenance.

  2. 2.

    The development of self-regulatory processes is partly modulated by external influences, such as cognitive stimulation and stress.

  3. 3.

    Childhood poverty may affect self-regulation development through psychosocial mechanisms, as well as chemical and biological ones.

  4. 4.

    Further advancing our understanding of how early adversity affects self-regulation, and health behavioral maintenance, will contribute to the design of better public health interventions aimed at narrowing existing gaps in health between high and low socioeconomic groups.

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Galarce, E.M., Kawachi, I. (2013). Social Determinants of Self-Regulation Development. In: Hall, P. (eds) Social Neuroscience and Public Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6852-3_13

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