Abstract
Low socioeconomic status (SES) may be associated with earlier pubertal timing and impaired attention and executive function (EF) in youth; however, whether pubertal timing mediates the relation between SES and attention or executive functioning remains unclear. Structural equation models tested concurrent and prospective relations between SES, pubertal timing, and attention and executive functioning measures in a gender and racially diverse sample of adolescents (N = 281, 45.6% male, 50.5% White/Caucasian, 46.3% Black/African American, 3.2% Biracial/other, and 44.5% low SES; complete data were not available on some measures). Youth from low SES families experienced earlier pubertal timing, and this accelerated development was associated with worse performance on attention and executive functioning tasks, both concurrently and longitudinally. These findings highlight a pathway by which youth from low socioeconomic backgrounds may develop worse attention and executive functioning abilities during adolescence.
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Alloy, L. B., Black, S. K., Young, M. E., Goldstein, K. E., Shapero, B. G., Stange, J. P., & Abramson, L. Y. (2012). Cognitive vulnerabilities and depression versus other psychopathology symptoms and diagnoses in early adolescence. Journal of Clinical Child and Adolescent Psychology, 41(5), 539–560. https://doi.org/10.1080/15374416.2012.703123.
Alloy, L. B., Hamilton, J. L., Hamlat, E. J., & Abramson, L. Y. (2016). Pubertal development, emotion regulatory styles, and the emergence of sex differences in internalizing disorders and symptoms in adolescence. Clinical Psychological Science, 4(5), 867–881.
Arnsten, A. F. T., & Shansky, R. M. (2004). Adolescence: vulnerable period for stress-induced prefrontal cortical function? Introduction to Part IV. Annals of the New York Academy of Sciences, 1021(1), 143–147. https://doi.org/10.1196/annals.1308.017.
Awh, E., Vogel, E. K., & Oh, S.-H. (2006). Interactions between attention and working memory. Neuroscience, 139(1), 201–208. https://doi.org/10.1016/j.neuroscience.2005.08.023.
Belsky, J., Steinberg, L. D., Houts, R. M., Friedman, S. L., DeHart, G., & Cauffman, E., The NICHD Early Child Care Research Network. (2007). Family rearing antecedents of pubertal timing. Child Development, 78(4), 1302–1321. https://doi.org/10.1111/j.1467-8624.2007.01067.x.
Belsky, J., Steinberg, L., & Draper, P. (1991). Childhood experience, interpersonal development, and reproductive strategy: an evolutionary theory of socialization. Child Development, 62(4), 647–670. https://doi.org/10.2307/1131166.
Best, J. R., & Miller, P. H. (2010). A developmental perspective on executive function. Child Development, 81(6), 1641–1660. https://doi.org/10.1111/j.1467-8624.2010.01499.x.
Biehl, M. C., Natsuaki, M. N., & Ge, X. (2007). The influence of pubertal timing on alcohol use and heavy drinking trajectories. Journal of Youth and Adolescence, 36(2), 153–167. https://doi.org/10.1007/s10964-006-9120-z.
Blakemore, S. J., & Choudhury, S. (2006). Development of the adolescent brain: implications for executive function and social cognition. Journal of child psychology and psychiatry, 47(3-4), 296–312.
Brooks-Gunn, J. (1988). Antecedents and consequences of variations in girls’ maturational timing. Journal of Adolescent Health Care, 9(5), 365–373. https://doi.org/10.1016/0197-0070(88)90030-7.
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255.
Conley, C. S., & Rudolph, K. D. (2009). The emerging sex difference in adolescent depression: interacting contributions of puberty and peer stress. Development and Psychopathology, 21(2), 593–620. https://doi.org/10.1017/S0954579409000327.
Crews, F., He, J., & Hodge, C. (2007). Adolescent cortical development: a critical period of vulnerability for addiction. Pharmacology Biochemistry and Behavior, 86(2), 189–199. https://doi.org/10.1016/j.pbb.2006.12.001.
Crossfield, A. G., Alloy, L. B., Gibb, B. E., & Abramson, L. Y. (2002). The development of depressogenic cognitive styles: the role of negative childhood life events and parental inferential feedback. Journal of Cognitive Psychotherapy, 16(4), 487.
Deardorff, J., Abrams, B., Ekwaru, J. P., & Rehkopf, D. H. (2014). Socioeconomic status and age at menarche: an examination of multiple indicators in an ethnically diverse cohort. Annals of Epidemiology, 24(10), 727–733. https://doi.org/10.1016/j.annepidem.2014.07.002.
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750.
Dorn, L. D., Dahl, R. E., Woodward, H. R., & Biro, F. (2006). Defining the boundaries of early adolescence: a user’s guide to assessing pubertal status and pubertal timing in research with adolescents. Applied Developmental Science, 10(1), 30–56.
Duncan, G. J., & Magnuson, K. (2012). Socioeconomic status and cognitive functioning: moving from correlation to causation: socioeconomic status and cognitive functioning. Wiley Interdisciplinary Reviews: Cognitive Science, 3(3), 377–386. https://doi.org/10.1002/wcs.1176.
Ellis, B. J., & Garber, J. (2000a). Psychosocial antecedents of variation in girls’ pubertal timing: maternal depression, stepfather presence, and marital and family stress. Child Development, 71(2), 485–501. https://doi.org/10.1111/1467-8624.00159.
Ellis, B. J., & Garber, J. (2000b). Psychosocial antecedents of variation in girls’ pubertal timing: maternal depression, stepfather presence, and marital and family stress. Child Development, 71(2), 485–501. https://doi.org/10.1111/1467-8624.00159.
Ellis, B. J., McFadyen-Ketchum, S., Dodge, K. A., Pettit, G. S., & Bates, J. E. (1999). Quality of early family relationships and individual differences in the timing of pubertal maturation in girls: a longitudinal test of an evolutionary model. Journal of Personality and Social Psychology, 77(2), 387–401.
Graber, J. A., Lewinsohn, P. M., Seeley, J. R., & Brooks-gunn, J. (1997). Is psychopathology associated with the timing of pubertal development? Journal of the American Academy of Child & Adolescent Psychiatry, 36(12), 1768–1776. https://doi.org/10.1097/00004583-199712000-00026.
Hackman, D. A., Gallop, R., Evans, G. W., & Farah, M. J. (2015). Socioeconomic status and executive function: developmental trajectories and mediation. Developmental Science, 18(5), 686–702. https://doi.org/10.1111/desc.12246.
Hamilton, J. L., Stange, J. P., Kleiman, E. M., Hamlat, E. J., Abramson, L. Y., & Alloy, L. B. (2014). Cognitive vulnerabilities amplify the effect of early pubertal timing on interpersonal stress generation during adolescence. Journal of Youth and Adolescence, 43(5), 824–833. https://doi.org/10.1007/s10964-013-0015-5.
Joos, C. M., Wodzinski, A. M., Wadsworth, M. E., & Dorn, L. D. (2018). Neither antecedent nor consequence: developmental integration of chronic stress, pubertal timing, and conditionally adapted stress response. Developmental Review, 48, 1–23. https://doi.org/10.1016/j.dr.2018.05.001.
Juraska, J. M., & Willing, J. (2017). Pubertal onset as a critical transition for neural development and cognition. Brain Research, 1654(Pt B), 87–94. https://doi.org/10.1016/j.brainres.2016.04.012.
Kane, M. J., Bleckley, M. K., Conway, A. R. A., & Engle, R. W. (2001). A controlled-attention view of working-memory capacity. Journal of Experimental Psychology: General, 130(2), 169–183. https://doi.org/10.1037/0096-3445.130.2.169.
Logue, S. F., & Gould, T. J. (2014). The neural and genetic basis of executive function: attention, cognitive flexibility, and response inhibition. Pharmacology Biochemistry and Behavior, 123, 45–54.
Luna, B. (2009). Developmental changes in cognitive control through adolescence. Advances in Child Development and Behavior, 37, 233–278.
Mac Giollabhui, N., Olino, T. M., Nielsen, J., Abramson, L. Y., & Alloy, L. B. (2019). Is worse attention a risk factor for or a consequence of depression, or are worse attention and depression better accounted for by stress? A prospective test of three hypotheses. Clinical Psychological Science, 7(1), 93–109.
Magimairaj, B. M., & Montgomery, J. W. (2013). Examining the relative contribution of memory updating, attention focus switching, and sustained attention to children’s verbal working memory span. Child Development Research.
Manly, T., Anderson, V., Nimmo-Smith, I., Turner, A., Watson, P., & Robertson, I. H. (2001). The differential assessment of children’s attention: the Test of Everyday Attention for Children (TEA-Ch), normative sample and ADHD performance. Journal of Child Psychology and Psychiatry, 42(8), 1065–1081. https://doi.org/10.1111/1469-7610.00806.
McCabe, D. P., Roediger, III, H. L., McDaniel, M. A., Balota, D. A., & Hambrick, D. Z. (2010). The relationship between working memory capacity and executive functioning: evidence for a common executive attention construct. Neuropsychology, 24(2), 222.
McEwen, B. S., & Morrison, J. H. (2013). The brain on stress: vulnerability and plasticity of the prefrontal cortex over the life course. Neuron, 79(1), 16–29. https://doi.org/10.1016/j.neuron.2013.06.028.
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.
Miller, M., Nevado-Montenegro, A. J., & Hinshaw, S. P. (2012). Childhood executive function continues to predict outcomes in young adult females with and without childhood-diagnosed ADHD. Journal of Abnormal Child Psychology, 40(5), 657–668. https://doi.org/10.1007/s10802-011-9599-y.
Miyake, A., & Friedman, N. P. (2012). The nature and organization of individual differences in executive functions: four general conclusions. Current Directions in Psychological Science, 21(1), 8–14. https://doi.org/10.1177/0963721411429458.
Nolen-Hoeksema, S., & Watkins, E. R. (2011). A heuristic for developing transdiagnostic models of psychopathology: explaining multifinality and divergent trajectories. Perspectives on Psychological Science, 6(6), 589–609. https://doi.org/10.1177/1745691611419672.
Ottowitz, W. E., Tondo, L., Dougherty, D. D., & Savage, C. R. (2002). The neural network basis for abnormalities of attention and executive function in major depressive disorder: implications for application of the medical disease model to psychiatric disorders. Harvard Review of Psychiatry, 10(2). https://www-tandfonline-com.libproxy.temple.edu/doi/abs/10.1080/10673220216210. Accessed 22 Oct 2019.
Pechtel, P., & Pizzagalli, D. A. (2011). Effects of early life stress on cognitive and affective function: an integrated review of human literature. Psychopharmacology, 214(1), 55–70. https://doi.org/10.1007/s00213-010-2009-2.
Petersen, A. C., Crockett, L., Richards, M., & Boxer, A. (1988). A self-report measure of pubertal status: reliability, validity, and initial norms. Journal of Youth and Adolescence, 17(2), 117–133.
Raz, A., & Buhle, J. (2006). Typologies of attentional networks. Nature Reviews Neuroscience, 7(5), 367–379. https://doi.org/10.1038/nrn1903.
Repetti, R. L., Taylor, S. E., & Seeman, T. E. (2002). Risky families: family social environments and the mental and physical health of offspring. Psychological bulletin, 128(2), 330.
Robertson, I. H., Ward, T., Ridgeway, V., & Nimmo-Smith, I. (1994). The test of everyday attention (TEA). (pp. 197–221) Bury St. Edmunds, UK: Thames Valley Test Company.
Sarsour, K., Sheridan, M., Jutte, D., Nuru-Jeter, A., Hinshaw, S., & Boyce, W. T. (2011). Family socioeconomic status and child executive functions: the roles of language, home environment, and single parenthood. Journal of the International Neuropsychological Society, 17(1), 120–132. 10.1017/S1355617710001335.
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
Selemon, L. D. (2013). A role for synaptic plasticity in the adolescent development of executive function. Translational Psychiatry, 3(3), e238–e238. https://doi.org/10.1038/tp.2013.7.
Snyder, H. R., Miyake, A., & Hankin, B. L. (2015). Advancing understanding of executive function impairments and psychopathology: bridging the gap between clinical and cognitive approaches. Frontiers in Psychology, 6. https://doi.org/10.3389/fpsyg.2015.00328.
Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28(1), 78–106. https://doi.org/10.1016/j.dr.2007.08.002.
Stumper, A., Olino, T. M., Abramson, L. Y., & Alloy, L. B. (2019). Pubertal timing and substance use in adolescence: an investigation of two cognitive moderators. Journal of Abnormal Child Psychology, 47(9), 1509–1520. https://doi.org/10.1007/s10802-019-00524-7.
Sun, Y., Mensah, F. K., Azzopardi, P., Patton, G. C., & Wake, M. (2017). Childhood social disadvantage and pubertal timing: a national birth cohort from Australia. Pediatrics, 139(6), e20164099. https://doi.org/10.1542/peds.2016-4099.
Unsworth, N., & Spillers, G. J. (2010). Working memory capacity: attention control, secondary memory, or both? A direct test of the dual-component model. Journal of Memory and Language, 62(4), 392–406.
Ursache, A., & Noble, K. G. (2016). Neurocognitive development in socioeconomic context: multiple mechanisms and implications for measuring socioeconomic status. Psychophysiology, 53(1), 71–82. https://doi.org/10.1111/psyp.12547.
Venkatesh, S. A. (1994). Getting ahead: social mobility among the urban poor. Sociological Perspectives, 37(2), 157–182.
von Stumm, S., & Plomin, R. (2015). Socioeconomic status and the growth of intelligence from infancy through adolescence. Intelligence, 48, 30–36. https://doi.org/10.1016/j.intell.2014.10.002.
Wechsler, D. (2003). Wechsler intelligence scale for children—fourth edition (WISC-IV). San Antonio, TX: The Psychological Corporation.
Wechsler, D. (2008). Wechsler adult intelligence scale—fourth edition (WAIS–IV). San Antonio, TX: NCS Pearson, 22, 498.
Wechsler, D. (2014). Wechsler intelligence scale for children—fifth edition (WISC-V). San Antonio, TX: NCS Pearson.
Wierson, M., Long, P. J., & Forehand, R. L. (1993). Toward a new understanding of early menarche: the role of environmental stress in pubertal timing. Adolescence, 28(112), 913–924.
Funding
This research was supported by National Institute of Mental Health Grants MH101168 and MH079369 to L.B.A.
Data Sharing and DeclarationThe datasets generated and/or analyzed during the current study are not publicly available but may be available from the corresponding author on reasonable request.
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A.S. generated hypotheses, created the database, aided in data analysis, and drafted the manuscript; N.M.G. helped generate hypotheses, ran and interpreted analyses, and helped draft the manuscript; L.Y.A. provided feedback on the manuscript; L.B.A. helped design the original study and write the grant that funded the study, participated in the design and coordination of this study, and provided feedback on all drafts of the manuscript. All authors read and approved the final manuscript.
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The Temple University Institutional Review Board approved the protocol (IRB protocol #6844).
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Stumper, A., Mac Giollabhui, N., Abramson, L.Y. et al. Early Pubertal Timing Mediates the Association between Low Socioeconomic Status and Poor Attention and Executive Functioning in a Diverse Community Sample of Adolescents. J Youth Adolescence 49, 1420–1432 (2020). https://doi.org/10.1007/s10964-020-01198-x
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DOI: https://doi.org/10.1007/s10964-020-01198-x