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Research Article

Race and ethnic variation in college students’ allostatic regulation of racism-related stress

View ORCID ProfileJacob E. Cheadle, View ORCID ProfileBridget J. Goosby, View ORCID ProfileJoseph C. Jochman, Cara C. Tomaso, View ORCID ProfileChelsea B. Kozikowski Yancey, and View ORCID ProfileTimothy D. Nelson
PNAS December 8, 2020 117 (49) 31053-31062; first published November 23, 2020; https://doi.org/10.1073/pnas.1922025117
Jacob E. Cheadle
aDepartment of Sociology, University of Texas at Austin, Austin, TX 78712;
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  • ORCID record for Jacob E. Cheadle
  • For correspondence: j.e.cheadle@utexas.edu
Bridget J. Goosby
aDepartment of Sociology, University of Texas at Austin, Austin, TX 78712;
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  • ORCID record for Bridget J. Goosby
Joseph C. Jochman
bDepartment of Sociology, University of Nebraska-Lincoln, Lincoln, NE 68588;
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  • ORCID record for Joseph C. Jochman
Cara C. Tomaso
cDepartment of Psychology, University of Nebraska-Lincoln, Lincoln, NE 68588
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Chelsea B. Kozikowski Yancey
cDepartment of Psychology, University of Nebraska-Lincoln, Lincoln, NE 68588
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  • ORCID record for Chelsea B. Kozikowski Yancey
Timothy D. Nelson
cDepartment of Psychology, University of Nebraska-Lincoln, Lincoln, NE 68588
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  1. Edited by Kathleen Mullan Harris, University of North Carolina at Chapel Hill, Chapel Hill, NC, and approved October 13, 2020 (received for review December 15, 2019)

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Significance

Racial resentment, antiimmigration sentiment, and hate crimes, including on college campuses, have increased recently. Although African American (70%) and Hispanic/Latinx people (56%) report considerable discrimination exposure, there remains a critical need for research examining the pathways through which racism-related stress affects health. Here, we developed an ecological, intensive longitudinal design leveraging an independent biosignal of stress arousal collected from a wearable sensor. Our method documents both increased simultaneous negative emotion and stress arousal among African American, Latinx, and African students in response to racism-related stress. These findings provide support for allostasis-based theories of mental and physical health via a naturalistic assessment of emotional and physiological responding to real-life social experiences.

Abstract

Racism-related stress is thought to contribute to widespread race/ethnic health inequities via negative emotion and allostatic stress process up-regulation. Although prior studies document race-related stress and health correlations, due to methodological and technical limitations, they have been unable to directly test the stress-reactivity hypothesis in situ. Guided by theories of constructed emotion and allostasis, we developed a protocol using wearable sensors and daily surveys that allowed us to operationalize and time-couple self-reported racism-related experiences, negative emotions, and an independent biosignal of emotional arousal. We used data from 100 diverse young adults at a predominantly White college campus to assess racism-related stress reactivity using electrodermal activity (EDA), a biosignal of sympathetic nervous system activity. We find that racism-related experiences predict both increased negative emotion risk and heightened EDA, consistent with the proposed allostatic model of health and disease. Specific patterns varied across race/ethnic groups. For example, discrimination and rumination were associated with negative emotion for African American students, but only interpersonal discrimination predicted increased arousal via EDA. The pattern of results was more general for Latinx students, for whom interpersonal discrimination, vicarious racism exposure, and rumination significantly modulated arousal. As with Latinx students, African students were particularly responsive to vicarious racism while 1.5 generation Black students were generally not responsive to racism-related experiences. Overall, these findings provide support for allostasis-based theories of mental and physical health via a naturalistic assessment of the emotional and sympathetic nervous system responding to real-life social experiences.

  • race and ethnicity
  • health disparities
  • discrimination
  • stress reactivity
  • allostasis

Footnotes

  • ↵1To whom correspondence may be addressed. Email: j.e.cheadle{at}utexas.edu.
  • Author contributions: J.E.C., B.J.G., and T.D.N. designed research; J.E.C., J.C.J., C.C.T., and C.B.K.Y. performed research; J.E.C. analyzed data; J.E.C. and J.C.J. cleaned and coded data; and J.E.C. and B.J.G. wrote the paper.

  • The authors declare no competing interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1922025117/-/DCSupplemental.

Data Availability.

Preprocessed data and statistical modeling scripts are available on the Open Science Framework, https://osf.io/sbhd7/ (108).

Published under the PNAS license.

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References

  1. ↵
    1. E. Bonilla-Silva
    , The structure of racism in color-blind, “post-racial” America. Am. Behav. Sci. 59, 1358–1376 (2015).
    OpenUrlCrossRef
  2. ↵
    1. A. M. Enders,
    2. J. S. Scott
    , The increasing racialization of American electoral politics, 1988-2016. Am. Polit. Res. 47, 275–303 (2019).
    OpenUrl
  3. ↵
    1. B. F. Schaffner,
    2. M. Macwilliams,
    3. T. Nteta
    , Understanding White polarization in the 2016 vote for president: The sobering role of racism and sexism. Polit. Sci. Q. 133, 9–34 (2018).
    OpenUrl
  4. ↵
    1. D. Bauman
    , Hate crimes on campuses are rising, New FBI data show. The Chronicle of Higher Education, https://www.chronicle.com/article/hate-crimes-on-campuses-are-rising-new-fbi-data-show (2018). Accessed 3 December 2019.
  5. ↵
    1. G. S. Edwards,
    2. S. Rushin
    , The effect of President Trump’s election on hate crimes. Social Science Research Network, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3102652 (2018). Accessed 5 November 2018.
  6. ↵
    1. N. Priest et al
    ., A systematic review of studies examining the relationship between reported racism and health and wellbeing for children and young people. Soc. Sci. Med. 95, 115–127 (2013).
    OpenUrlCrossRefPubMed
  7. ↵
    1. J. M. Rodriguez,
    2. A. T. Geronimus,
    3. J. Bound,
    4. D. Dorling
    , Black lives matter: Differential mortality and the racial composition of the U.S. electorate, 1970-2004. Soc. Sci. Med. 136-137, 193–199 (2015).
    OpenUrl
  8. ↵
    1. R. Clark,
    2. N. B. Anderson,
    3. V. R. Clark,
    4. D. R. Williams
    , Racism as a stressor for African Americans. A biopsychosocial model. Am. Psychol. 54, 805–816 (1999).
    OpenUrlCrossRefPubMed
  9. ↵
    1. P. Sterling
    , Allostasis: A model of predictive regulation. Physiol. Behav. 106, 5–15 (2012).
    OpenUrlCrossRefPubMed
  10. ↵
    1. J. Fridman,
    2. L. F. Barrett,
    3. J. B. Wormwood,
    4. K. S. Quigley
    , Applying the theory of constructed emotion to police decision making. Front. Psychol. 10, 1946 (2019).
    OpenUrl
  11. ↵
    1. B. J. Goosby,
    2. J. E. Cheadle,
    3. C. Mitchell
    , Stress-related biosocial mechanisms of discrimination and African American health inequities. Annu. Rev. Sociol. 44, 319–340 (2018).
    OpenUrl
  12. ↵
    1. A. D. Ong,
    2. L. Benson,
    3. A. J. Zautra,
    4. N. Ram
    , Emodiversity and biomarkers of inflammation. Emotion 18, 3–14 (2018).
    OpenUrl
  13. ↵
    1. H. E. R. Hunte,
    2. D. R. Williams
    , The association between perceived discrimination and obesity in a population-based multiracial and multiethnic adult sample. Am. J. Public Health 99, 1285–1292 (2009).
    OpenUrlCrossRefPubMed
  14. ↵
    1. C. M. Dolezsar,
    2. J. J. McGrath,
    3. A. J. M. Herzig,
    4. S. B. Miller
    , Perceived racial discrimination and hypertension: A comprehensive systematic review. Health Psychol. 33, 20–34 (2014).
    OpenUrlCrossRefPubMed
  15. ↵
    1. W. M. Troxel,
    2. K. A. Matthews,
    3. J. T. Bromberger,
    4. K. Sutton-Tyrrell
    , Chronic stress burden, discrimination, and subclinical carotid artery disease in African American and Caucasian women. Health Psychol. 22, 300–309 (2003).
    OpenUrlCrossRefPubMed
  16. ↵
    1. E. A. Pascoe,
    2. L. Smart Richman
    , Perceived discrimination and health: A meta-analytic review. Psychol. Bull. 135, 531–554 (2009).
    OpenUrlCrossRefPubMed
  17. ↵
    1. L. N. Potter,
    2. E. Brondolo,
    3. J. M. Smyth
    , Biopsychosocial correlates of discrimination in daily life: A review. Stigma Health 4, 38–61 (2019).
    OpenUrl
  18. ↵
    1. A. D. Ong,
    2. D. R. Williams,
    3. U. Nwizu,
    4. T. L. Gruenewald
    , Everyday unfair treatment and multisystem biological dysregulation in African American adults. Cultur. Divers. Ethnic Minor. Psychol. 23, 27–35 (2017).
    OpenUrl
  19. ↵
    1. D. R. Williams,
    2. S. A. Mohammed
    , Racism and health I: Pathways and scientific evidence. Am. Behav. Sci. 57, 1152–1173 (2013).
    OpenUrlCrossRef
  20. ↵
    1. B. Reskin
    , The race discrimination system. Annu. Rev. Sociol. 38, 17–35 (2012).
    OpenUrlCrossRef
  21. ↵
    1. D. W. Sue et al
    ., Racial microaggressions in everyday life: Implications for clinical practice. Am. Psychol. 62, 271–286 (2007).
    OpenUrlCrossRefPubMed
  22. ↵
    1. K. A. Truong,
    2. S. D. Museus,
    3. K. M. McGuire
    , Vicarious racism: A qualitative analysis of experiences with secondhand racism in graduate education. Int. J. Qual. Stud. Educ. 29, 224–247 (2016).
    OpenUrl
  23. ↵
    1. A. Borders,
    2. C. T. H. Liang
    , Rumination partially mediates the associations between perceived ethnic discrimination, emotional distress, and aggression. Cultur. Divers. Ethnic Minor. Psychol. 17, 125–133 (2011).
    OpenUrlPubMed
  24. ↵
    1. S. Nolen-Hoeksema,
    2. B. E. Wisco,
    3. S. Lyubomirsky
    , Rethinking rumination. Perspect. Psychol. Sci. 3, 400–424 (2008).
    OpenUrlCrossRefPubMed
  25. ↵
    1. L. F. Barrett
    , The theory of constructed emotion: An active inference account of interoception and categorization. Soc. Cogn. Affect. Neurosci. 12, 1–23 (2017).
    OpenUrlCrossRefPubMed
  26. ↵
    1. L. F. Barrett,
    2. K. S. Quigley,
    3. P. Hamilton
    , An active inference theory of allostasis and interoception in depression. Philos. Trans. R. Soc. Lond. B Biol. Sci. 371, 20160011 (2016).
    OpenUrlCrossRefPubMed
  27. ↵
    1. J. C. Jochman et al
    ., Mental health outcomes of discrimination among college students on a predominately White campus: A prospective study. Socius 5, 2378023119842728 (2019).
    OpenUrl
  28. ↵
    1. K. Sanders‐Phillips et al
    ., Perceived racial discrimination, drug use, and psychological distress in African American youth: A pathway to child health disparities. J. Soc. Issues 70, 279–297 (2014).
    OpenUrlCrossRef
  29. ↵
    1. C. L. Woods-Giscombé,
    2. M. Lobel,
    3. C. Zimmer,
    4. C. Wiley Cené,
    5. G. Corbie-Smith
    , Whose stress is making me sick? Network-stress and emotional distress in African-American women. Issues Ment. Health Nurs. 36, 710–717 (2015).
    OpenUrlCrossRefPubMed
  30. ↵
    1. N. M. Hurd,
    2. F. A. Varner,
    3. C. H. Caldwell,
    4. M. A. Zimmerman
    , Does perceived racial discrimination predict changes in psychological distress and substance use over time? An examination among Black emerging adults. Dev. Psychol. 50, 1910–1918 (2014).
    OpenUrlCrossRefPubMed
  31. ↵
    1. N. J. Heard-Garris,
    2. M. Cale,
    3. L. Camaj,
    4. M. C. Hamati,
    5. T. P. Dominguez
    , Transmitting trauma: A systematic review of vicarious racism and child health. Soc. Sci. Med. 199, 230–240 (2018).
    OpenUrlPubMed
  32. ↵
    1. L. Torres,
    2. A. D. Ong
    , A daily diary investigation of Latino ethnic identity, discrimination, and depression. Cultur. Divers. Ethnic Minor. Psychol. 16, 561–568 (2010).
    OpenUrlPubMed
  33. ↵
    1. N. T. Joseph,
    2. L. M. Peterson,
    3. H. Gordon,
    4. T. W. Kamarck
    , The double burden of racial discrimination in daily-life moments: Increases in negative emotions and depletion of psychosocial resources among emerging adult African Americans. Cultur. Divers. Ethnic Minor. Psychol., doi:10.1037/cdp0000337 (2020).
    OpenUrlCrossRef
  34. ↵
    1. R. J. Thompson,
    2. M. T. Boden,
    3. I. H. Gotlib
    , Emotional variability and clarity in depression and social anxiety. Cogn. Emotion 31, 98–108 (2017).
    OpenUrl
  35. ↵
    1. N. I. Eisenberger,
    2. S. W. Cole
    , Social neuroscience and health: Neurophysiological mechanisms linking social ties with physical health. Nat. Neurosci. 15, 669–674 (2012).
    OpenUrlCrossRefPubMed
  36. ↵
    1. N. I. Eisenberger,
    2. M. Moieni,
    3. T. K. Inagaki,
    4. K. A. Muscatell,
    5. M. R. Irwin
    , In sickness and in health: The co-regulation of inflammation and social behavior. Neuropsychopharmacology 42, 242–253 (2017).
    OpenUrl
  37. ↵
    1. B. S. McEwen,
    2. T. Seeman
    , Protective and damaging effects of mediators of stress. Elaborating and testing the concepts of allostasis and allostatic load. Ann. N. Y. Acad. Sci. 896, 30–47 (1999).
    OpenUrlCrossRefPubMed
  38. ↵
    1. C. J. P. Harrell et al
    ., Multiple pathways linking racism to health outcomes. Du Bois Rev. 8, 143–157 (2011).
    OpenUrlCrossRefPubMed
  39. ↵
    1. V. W. Huynh,
    2. Q.-L. Huynh,
    3. M.-P. Stein
    , Not just sticks and stones: Indirect ethnic discrimination leads to greater physiological reactivity. Cultur. Divers. Ethnic Minor. Psychol. 23, 425–434 (2017).
    OpenUrl
  40. ↵
    1. M. M. Merritt,
    2. G. G. Bennett Jr,
    3. R. B. Williams,
    4. C. L. Edwards,
    5. J. J. Sollers 3rd
    , Perceived racism and cardiovascular reactivity and recovery to personally relevant stress. Health Psychol. 25, 364–369 (2006).
    OpenUrlCrossRefPubMed
  41. ↵
    1. T. T. Lewis,
    2. D. R. Williams,
    3. M. Tamene,
    4. C. R. Clark
    , Self-reported experiences of discrimination and cardiovascular disease. Curr. Cardiovasc. Risk Rep. 8, 365 (2014).
    OpenUrlCrossRefPubMed
  42. ↵
    1. K. G. Lockwood,
    2. A. L. Marsland,
    3. K. A. Matthews,
    4. P. J. Gianaros
    , Perceived discrimination and cardiovascular health disparities: A multisystem review and health neuroscience perspective. Ann. N. Y. Acad. Sci. 1428, 170–207 (2018).
    OpenUrl
  43. ↵
    1. D. Busse,
    2. I. S. Yim,
    3. B. Campos,
    4. C. K. Marshburn
    , Discrimination and the HPA axis: Current evidence and future directions. J. Behav. Med. 40, 539–552 (2017).
    OpenUrl
  44. ↵
    1. M. Berger,
    2. Z. Sarnyai
    , “More than skin deep”: Stress neurobiology and mental health consequences of racial discrimination. Stress 18, 1–10 (2015).
    OpenUrlCrossRefPubMed
  45. ↵
    1. R. L. Simons et al
    ., Discrimination, segregation, and chronic inflammation: Testing the weathering explanation for the poor health of Black Americans. Dev. Psychol. 54, 1993–2006 (2018).
    OpenUrl
  46. ↵
    1. G. H. Brody,
    2. T. Yu,
    3. G. E. Miller,
    4. E. Chen
    , Discrimination, racial identity, and cytokine levels among African-American adolescents. J. Adolesc. Health 56, 496–501 (2015).
    OpenUrlCrossRefPubMed
  47. ↵
    1. J. Wagner,
    2. R. Lampert,
    3. H. Tennen,
    4. R. Feinn
    , Exposure to discrimination and heart rate variability reactivity to acute stress among women with diabetes. Stress Health 31, 255–262 (2015).
    OpenUrl
  48. ↵
    1. T. Lucas et al
    ., Perceived discrimination, racial identity, and multisystem stress response to social evaluative threat among African American men and women. Psychosom. Med. 79, 293–305 (2017).
    OpenUrl
  49. ↵
    1. L. S. Hoggard,
    2. L. K. Hill,
    3. D. L. Gray,
    4. R. M. Sellers
    , Capturing the cardiac effects of racial discrimination: Do the effects “keep going”? Int. J. Psychophysiol. 97, 163–170 (2015).
    OpenUrlCrossRefPubMed
  50. ↵
    1. P. J. Sawyer,
    2. B. Major,
    3. B. J. Casad,
    4. S. S. M. Townsend,
    5. W. B. Mendes
    , Discrimination and the stress response: Psychological and physiological consequences of anticipating prejudice in interethnic interactions. Am. J. Public Health 102, 1020–1026 (2012).
    OpenUrlCrossRefPubMed
  51. ↵
    1. W. Boucsein
    , Electrodermal Activity (Springer, 2012).
  52. ↵
    1. S. D. Kreibig
    , Autonomic nervous system activity in emotion: A review. Biol. Psychol. 84, 394–421 (2010).
    OpenUrlCrossRefPubMed
  53. ↵
    1. T. Reinhardt,
    2. C. Schmahl,
    3. S. Wüst,
    4. M. Bohus
    , Salivary cortisol, heart rate, electrodermal activity and subjective stress responses to the Mannheim Multicomponent Stress Test (MMST). Psychiatry Res. 198, 106–111 (2012).
    OpenUrlCrossRefPubMed
  54. ↵
    1. J. T. Cacioppo,
    2. L. G. Tassinary,
    3. G. G. Bernston
    1. M. E. Dawson,
    2. A. E. Schell,
    3. D. L. Filion
    , “The electrodermal system” in Handbook of Psychophysiology, J. T. Cacioppo, L. G. Tassinary, G. G. Bernston, Eds. (Cambridge University Press, ed. 2, 2000), pp. 200–223.
  55. ↵
    1. H. D. Critchley
    , Electrodermal responses: What happens in the brain. Neuroscientist 8, 132–142 (2002).
    OpenUrlCrossRefPubMed
  56. ↵
    1. J. Schulkin
    1. P. Sterling
    , “Principles of allostasis: Optimal design, predictive regulation, pathophysiology and rational therapeutics” in Allostasis, Homeostasis, and the Costs of Adaptation, J. Schulkin, Ed. (Cambridge University Press, 2004) pp. 17–64.
  57. ↵
    1. A. C. Phillips,
    2. A. T. Ginty,
    3. B. M. Hughes
    , The other side of the coin: Blunted cardiovascular and cortisol reactivity are associated with negative health outcomes. Int. J. Psychophysiol. 90, 1–7 (2013).
    OpenUrlCrossRefPubMed
  58. ↵
    1. A. Portes,
    2. R. G. Rumbaut
    , Legacies: The Story of the Immigrant Second Generation (University of California Press, Berkeley, CA, 2001).
  59. ↵
    1. M.-Z. Poh,
    2. N. C. Swenson,
    3. R. W. Picard
    , A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE Trans. Biomed. Eng. 57, 1243–1252 (2010).
    OpenUrlCrossRefPubMed
  60. ↵
    1. C. G. Colen,
    2. D. M. Ramey,
    3. E. C. Cooksey,
    4. D. R. Williams
    , Racial disparities in health among nonpoor African Americans and Hispanics: The role of acute and chronic discrimination. Soc. Sci. Med. 199, 167–180 (2018).
    OpenUrl
  61. ↵
    1. D. R. Bach,
    2. J. Daunizeau,
    3. N. Kuelzow,
    4. K. J. Friston,
    5. R. J. Dolan
    , Dynamic causal modeling of spontaneous fluctuations in skin conductance. Psychophysiology 48, 252–257 (2011).
    OpenUrl
  62. ↵
    1. D. R. Bach,
    2. J. Daunizeau,
    3. K. J. Friston,
    4. R. J. Dolan
    , Dynamic causal modelling of anticipatory skin conductance responses. Biol. Psychol. 85, 163–170 (2010).
    OpenUrlCrossRefPubMed
  63. ↵
    1. M. Daly,
    2. L. Delaney,
    3. P. P. Doran,
    4. C. Harmon,
    5. M. MacLachlan
    , Naturalistic monitoring of the affect-heart rate relationship: A day reconstruction study. Health Psychol. 29, 186–195 (2010).
    OpenUrlPubMed
  64. ↵
    1. D. Kahneman,
    2. A. B. Krueger,
    3. D. A. Schkade,
    4. N. Schwarz,
    5. A. A. Stone
    , A survey method for characterizing daily life experience: The day reconstruction method. Science 306, 1776–1780 (2004).
    OpenUrlAbstract/FREE Full Text
  65. ↵
    1. S. P. Harrell
    , A multidimensional conceptualization of racism-related stress: Implications for the well-being of people of color. Am. J. Orthopsychiatry 70, 42–57 (2000).
    OpenUrlCrossRefPubMed
  66. ↵
    1. S. O. Lilienfeld
    , Microaggressions. Perspect. Psychol. Sci. 12, 138–169 (2017).
    OpenUrlCrossRefPubMed
  67. ↵
    1. A. D. Martínez,
    2. L. Ruelas,
    3. D. A. Granger
    , Household fear of deportation in relation to chronic stressors and salivary proinflammatory cytokines in Mexican-origin families post-SB 1070. SSM Popul. Health 5, 188–200 (2018).
    OpenUrl
  68. ↵
    1. J. A. Russell
    , A circumplex model of affect. J. Pers. Soc. Psychol. 39, 1161–1178 (1980).
    OpenUrlCrossRef
  69. ↵
    1. D. R. Williams,
    2. S. A. Mohammed
    , Discrimination and racial disparities in health: Evidence and needed research. J. Behav. Med. 32, 20–47 (2009).
    OpenUrlCrossRefPubMed
  70. ↵
    1. M. S. Willis,
    2. O. Nkwocha
    , Health and related factors for Sudanese refugees in Nebraska. J. Immigr. Minor. Health 8, 19–33 (2006).
    OpenUrlPubMed
  71. ↵
    1. E. C. Hope,
    2. L. S. Hoggard,
    3. A. Thomas
    , Emerging into adulthood in the face of racial discrimination: Physiological, psychological, and sociopolitical consequences for african american youth. Transl. Issues Psychol. Sci. 1, 342–351 (2015).
    OpenUrl
  72. ↵
    1. N. J. Cabrera,
    2. B. Leyendecker
    1. E. C. Hope,
    2. M. B. Spencer
    , “Civic engagement as an adaptive coping response to conditions of inequality: An application of phenomenological variant of ecological systems theory (PVEST)” in Handbook on Positive Development of Minority Children and Youth, N. J. Cabrera, B. Leyendecker, Eds. (Springer International Publishing, 2017), pp. 421–435.
  73. ↵
    1. G. R. Sanchez,
    2. E. D. Vargas,
    3. H. L. Walker,
    4. V. D. Ybarra
    , Stuck between a rock and a hard place: The relationship between Latino/a’s personal connections to immigrants and issue salience and presidential approval. Polit. Groups Identities 3, 454–468 (2015).
    OpenUrl
  74. ↵
    1. C. Patler,
    2. W. Laster Pirtle
    , From undocumented to lawfully present: Do changes to legal status impact psychological wellbeing among latino immigrant young adults? Soc. Sci. Med. 199, 39–48 (2018).
    OpenUrl
  75. ↵
    1. L. Wray-Lake et al
    ., Being a Latinx adolescent under a Trump presidency: Analysis of Latinx youth’s reactions to immigration politics. Child. Youth Serv. Rev. 87, 192–204 (2018).
    OpenUrl
  76. ↵
    1. R. J. Hernández,
    2. M. T. Villodas
    , Overcoming racial battle fatigue: The associations between racial microaggressions, coping, and mental health among Chicana/o and Latina/o college students. Cultur. Divers. Ethnic Minor. Psychol. 26, 399–411 (2020).
    OpenUrl
  77. ↵
    1. R. J. Contrada,
    2. A. Baum
    1. P. G. Williams,
    2. T. W. Smith,
    3. H. E. Gunn,
    4. B. N. Uchino
    , “Personality and stress: Individual differences in exposure, reactivity, recovery, and restoration” in The Handbook of Stress Science: Biology, Psychology, and Health, R. J. Contrada, A. Baum, Eds. (Springer Publishing Company, 2011), pp. 231–245.
  78. ↵
    1. T. S. Conner,
    2. H. Tennen,
    3. W. Fleeson,
    4. L. F. Barrett
    , Experience sampling methods: A modern idiographic approach to personality research. Soc. Personal. Psychol. Compass 3, 292–313 (2009).
    OpenUrlCrossRefPubMed
  79. ↵
    1. G. Eisele et al
    ., The effects of sampling frequency and questionnaire length on perceived burden, compliance, and careless responding in experience sampling data in a student population. Assessment, doi:10.1177/1073191120957102 (2020).
    OpenUrlCrossRef
  80. ↵
    1. R. E. Lucas,
    2. C. Wallsworth,
    3. I. Anusic,
    4. M. B. Donnellan
    , A direct comparison of the day reconstruction method (DRM) and the experience sampling method (ESM). J. Pers. Soc. Psychol., doi:10.1037/pspp0000289 (2020).
    OpenUrlCrossRef
  81. ↵
    1. E. Diener,
    2. L. Tay
    , Review of the day reconstruction method (DRM). Soc. Indic. Res. 116, 255–267 (2014).
    OpenUrl
  82. ↵
    1. C. N. DeWall
    1. S. S. Dickerson,
    2. P. M. Zoccola
    , “Cortisol responses to social exclusion” in The Oxford Handbook of Social Exclusion, C. N. DeWall, Ed. (Oxford Library of Psychology, Oxford University Press, 2013), pp. 143–151.
  83. ↵
    1. N. L. Sin,
    2. J. E. Graham-Engeland,
    3. A. D. Ong,
    4. D. M. Almeida
    , Affective reactivity to daily stressors is associated with elevated inflammation. Health Psychol. 34, 1154–1165 (2015).
    OpenUrlCrossRefPubMed
  84. ↵
    1. A. J. Shallcross,
    2. T. M. Spruill
    , The protective role of mindfulness in the relationship between perceived discrimination and depression. Mindfulness (N Y) 9, 1100–1109 (2018).
    OpenUrl
  85. ↵
    1. A. J. Elliot,
    2. C. S. Dweck,
    3. D. S. Yeager
    1. J. P. Jamieson
    , “Challenge and threat appraisals” in Handbook of Competence and Motivation Theory and Application, A. J. Elliot, C. S. Dweck, D. S. Yeager, Eds. (Guilford Publications, ed. 2, 2017) pp. 175–191.
  86. ↵
    1. J. P. Jamieson,
    2. E. J. Hangen,
    3. H. Y. Lee,
    4. D. S. Yeager
    , Capitalizing on appraisal processes to improve affective responses to social stress. Emot. Rev. 10, 30–39 (2018).
    OpenUrl
  87. ↵
    1. M. D. Seery
    , The biopsychosocial model of challenge and threat: Using the heart to measure the mind. Soc. Personal. Psychol. Compass 7, 637–653 (2013).
    OpenUrl
  88. ↵
    1. N. A. John-Henderson,
    2. M. L. Rheinschmidt,
    3. R. Mendoza-Denton
    , Cytokine responses and math performance: The role of stereotype threat and anxiety reappraisals. J. Exp. Soc. Psychol. 56, 203–206 (2015).
    OpenUrlCrossRef
  89. ↵
    1. P. Sterling
    , Homeostasis vs allostasis: Implications for brain function and mental disorders. JAMA Psychiatry 71, 1192–1193 (2014).
    OpenUrl
  90. ↵
    1. M. Romero
    , Trump’s immigration attacks, in brief. Contexts 17, 34–41 (2018).
    OpenUrl
  91. ↵
    1. C. Miller,
    2. A. Werner-Winslow
    , Ten Days After: Harrassment and Intimidation in the Aftermath of the Election (Southern Poverty Law Center, 2016).
  92. ↵
    1. Federal Bureau of Investigation
    , Hate Crime Statistics, https://ucr.fbi.gov/hate-crime/2018 (2018). Accessed 25 September 2019.
  93. ↵
    1. K. Müller,
    2. C. Schwarz
    , From hashtag to hate crime: Twitter and anti-minority sentiment, Social Science Research Network, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3149103 (2018). Accessed 30 May 2020.
  94. ↵
    1. L. Musu-Gillette,
    2. A. Zhang,
    3. K. Wang,
    4. J. Zhang,
    5. B. A. Oudekerk
    , Indicators of school crime and safety: 2018. Homeland Security Digital Library, https://ies.ed.gov/pubsearch/pubsinfo.asp?pubid=2019047 (2019). Accessed 30 May 2020.
  95. ↵
    1. M. Shah,
    2. M. Sachdeva,
    3. R. P. Dodiuk-Gad
    , COVID-19 and racial disparities. J. Am. Acad. Dermatol. 83, e35 (2020).
    OpenUrl
  96. ↵
    1. M. Madjid,
    2. P. Safavi-Naeini,
    3. S. D. Solomon,
    4. O. Vardeny
    , Potential effects of coronaviruses on the cardiovascular system: A review. JAMA Cardiol. 5, 831–840 (2020).
    OpenUrlPubMed
  97. ↵
    1. G. H. Brody et al
    ., Perceived discrimination among African American adolescents and allostatic load: A longitudinal analysis with buffering effects. Child Dev. 85, 989–1002 (2014).
    OpenUrlCrossRefPubMed
  98. ↵
    1. A. T. Geronimus,
    2. M. Hicken,
    3. D. Keene,
    4. J. Bound
    , “Weathering” and age patterns of allostatic load scores among Blacks and Whites in the United States. Am. J. Public Health 96, 826–833 (2006).
    OpenUrlCrossRefPubMed
  99. ↵
    1. B. J. Goosby,
    2. S. Malone,
    3. E. A. Richardson,
    4. J. E. Cheadle,
    5. D. T. Williams
    , Perceived discrimination and markers of cardiovascular risk among low-income African American youth. Am. J. Hum. Biol. 27, 546–552 (2015).
    OpenUrl
  100. ↵
    1. M. Garbarino,
    2. M. Lai,
    3. D. Bender,
    4. R. W. Picard,
    5. S. Tognetti
    , “Empatica E3—A wearable wireless multi-sensor device for real-time computerized biofeedback and data acquisition” in 2014 4th International Conference on Wireless Mobile Communication and Healthcare–Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH) (IEEE, 2014), pp. 39–42.
  101. ↵
    1. R. W. Picard,
    2. S. Fedor,
    3. Y. Ayzenberg
    , Multiple arousal theory and daily-life electrodermal activity asymmetry. Emot. Rev. 8, 62–75 (2016).
    OpenUrl
  102. ↵
    1. D. R. Bach et al
    ., Psychophysiological modeling: Current state and future directions. Psychophysiology 55, e13214 (2018).
    OpenUrlCrossRef
  103. ↵
    1. M. Benedek,
    2. C. Kaernbach
    , A continuous measure of phasic electrodermal activity. J. Neurosci. Methods 190, 80–91 (2010).
    OpenUrlCrossRefPubMed
  104. ↵
    1. E. K. Seaton,
    2. T. Yip,
    3. R. M. Sellers
    , A longitudinal examination of racial identity and racial discrimination among African American adolescents. Child Dev. 80, 406–417 (2009).
    OpenUrlCrossRefPubMed
  105. ↵
    1. W. Boucsein et al.; Society for Psychophysiological Research Ad Hoc Committee on Electrodermal Measures
    , Publication recommendations for electrodermal measurements. Psychophysiology 49, 1017–1034 (2012).
    OpenUrlCrossRefPubMed
  106. ↵
    1. S. W. Raudenbush,
    2. A. S. Bryk
    , Hierarchical Linear Models: Applications and Data Analysis Methods (SAGE Publications, Inc, ed. 2, 2001).
  107. ↵
    1. P. D. Allison
    , Fixed Effects Regression Methods for Longitudinal Data Using SAS (SAS Institute, ed. 1, 2014).
  108. ↵
    1. J. E. Cheadle et al.
    , Race and ethnic variation in college students’ allostatic regulation of racism-related stress. Open Science Framework. https://osf.io/sbhd7/. Deposited 6 November 2020.

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Race and ethnic variation in college students’ allostatic regulation of racism-related stress
Jacob E. Cheadle, Bridget J. Goosby, Joseph C. Jochman, Cara C. Tomaso, Chelsea B. Kozikowski Yancey, Timothy D. Nelson
Proceedings of the National Academy of Sciences Dec 2020, 117 (49) 31053-31062; DOI: 10.1073/pnas.1922025117

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Race and ethnic variation in college students’ allostatic regulation of racism-related stress
Jacob E. Cheadle, Bridget J. Goosby, Joseph C. Jochman, Cara C. Tomaso, Chelsea B. Kozikowski Yancey, Timothy D. Nelson
Proceedings of the National Academy of Sciences Dec 2020, 117 (49) 31053-31062; DOI: 10.1073/pnas.1922025117
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  • Article
    • Abstract
    • Racism-Related Stress and Negative Emotion
    • Allostasis, Racism-Related Stress, and Health
    • Racism-Related Stress and Race/Ethnicity
    • Results
    • Discussion
    • Conclusion
    • Materials and Methods
    • Data Availability.
    • Acknowledgments
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