Annals of Behavioral Medicine

, Volume 51, Issue 2, pp 240–250 | Cite as

Socioeconomic Status Interacts with Conscientiousness and Neuroticism to Predict Circulating Concentrations of Inflammatory Markers

  • Ari J. Elliot
  • Nicholas A. Turiano
  • Benjamin P. Chapman
Original Article

Abstract

Background

Socioeconomic health disparities research may benefit from further consideration of dispositional factors potentially modifying risk associated with low socioeconomic status, including that indexed by systemic inflammation.

Purpose

This study was conducted to investigate interactions of SES and the Five-Factor Model (FFM) personality traits in predicting circulating concentrations of the inflammatory markers interleukin-6 (IL-6) and C-reactive protein (CRP).

Method

Using a sample of middle-aged and older adults from the Midlife in the United States Survey (MIDUS) biomarker project (N = 978), linear regression models tested interactions of each FFM trait with a composite measure of SES in predicting IL-6 and CRP, as well as the explanatory role of medical morbidity, measures of adiposity, and health behaviors.

Results

SES interacted with conscientiousness to predict levels of IL-6 (interaction b = .03, p = .002) and CRP (interaction b = .04, p = .014) and with neuroticism to predict IL-6 (interaction b = −.03, p = .004). Socioeconomic gradients in both markers were smaller at higher levels of conscientiousness. Conversely, the socioeconomic gradient in IL-6 was larger at higher levels of neuroticism. Viewed from the perspective of SES as the moderator, neuroticism was positively related to IL-6 at low levels of SES but negatively related at high SES. Interactions of SES with both conscientiousness and neuroticism were attenuated upon adjustment for measures of adiposity.

Conclusions

Conscientiousness may buffer, and neuroticism amplify, excess inflammatory risk associated with low SES, in part through relationships with adiposity. Neuroticism may be associated with lower levels of inflammation at high levels of SES.

Keywords

Personality Neuroticism Conscientiousness Socioeconomic status Inflammation Interleukin-6 C-reactive protein 

Supplementary material

12160_2016_9847_MOESM1_ESM.docx (70 kb)
ESM 1(DOCX 69 kb)
12160_2016_9847_MOESM2_ESM.docx (70 kb)
ESM 2(DOCX 70 kb)

References

  1. 1.
    Adler NE, Stewart J. Health disparities across the lifespan: Meaning, methods, and mechanisms. Ann N Y Acad Sci. 2010;1186(1):5–23.CrossRefPubMedGoogle Scholar
  2. 2.
    Braveman PA, Cubbin C, Egerter S, Williams DR, Pamuk E. Socioeconomic disparities in health in the United States: What the patterns tell us. Am J Public Health. 2010;100(S1):S186-S196.CrossRefPubMedPubMedCentralGoogle Scholar
  3. 3.
    Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G. Indicators of socioeconomic position (part 1). J Epidemiol Community Health. 2006;60(1):7–12.CrossRefPubMedPubMedCentralGoogle Scholar
  4. 4.
    Thorpe Jr RJ, Koster A, Bosma H, et al. Racial differences in mortality in older adults: Factors beyond socioeconomic status. Ann Behav Med. 2012;43(1):29–38.CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    Chen E, Miller GE. Socioeconomic status and health: Mediating and moderating factors. Annu Rev Clin Psychol. 2013;9:723–749.CrossRefPubMedGoogle Scholar
  6. 6.
    Whitfield KE, Bogart LM, Revenson TA, France CR. Introduction to special section on health disparities. Ann Behav Med. 2012;43(1):1–3.CrossRefPubMedGoogle Scholar
  7. 7.
    Murray AL, Booth T. Personality and physical health. Curr Opin Psychol.2015;5:50–55.CrossRefGoogle Scholar
  8. 8.
    Chapman BP, Roberts B, Duberstein P. Personality and longevity: Knowns, unknowns, and implications for public health and personalized medicine. J Aging Res. 2011;2011:759170.CrossRefPubMedPubMedCentralGoogle Scholar
  9. 9.
    Chapman BP, Fiscella K, Kawachi I, Duberstein PR. Personality, socioeconomic status, and all-cause mortality in the United States. Am J Epidemiol. 2010;171(1):83–92.CrossRefPubMedGoogle Scholar
  10. 10.
    Friedman HS, Kern ML. Personality, well-being, and health. Annu Rev Psychol. 2014;65(1):719–742.CrossRefPubMedGoogle Scholar
  11. 11.
    Turiano NA, Chapman BP, Gruenewald TL, Mroczek DK. Personality and the leading behavioral contributors of mortality. Health Psychol. 2015;34(1):51–60.CrossRefPubMedGoogle Scholar
  12. 12.
    Jokela M, Pulkki-Raback L, Elovainio M, Kivimaki M. Personality traits as risk factors for stroke and coronary heart disease mortality: Pooled analysis of three cohort studies. J Behav Med. 2014;37(5):881–889.CrossRefPubMedGoogle Scholar
  13. 13.
    Weiss A, Costa Jr PT. Domain and facet personality predictors of all-cause mortality among medicare patients aged 65 to 100. Psychosom Med. 2005;67(5):724–733.CrossRefPubMedGoogle Scholar
  14. 14.
    Friedman HS, Kern ML, Reynolds CA. Personality and health, subjective well-being, and longevity. J Pers. 2010;78(1):179–216.CrossRefPubMedGoogle Scholar
  15. 15.
    Ploubidis GB, Grundy E. Personality and all cause mortality: Evidence for indirect links. Pers Indiv Dif. 2009;47(3):203–208.CrossRefGoogle Scholar
  16. 16.
    Bennett JM, Gillie BL, Lindgren ME, Fagundes CP, Kiecolt-Glaser JK. Inflammation through a psychoneuroimmunological lens. In: Handbook of systems and complexity in health. Springer; 2013:279–299.Google Scholar
  17. 17.
    Danesh J, Wheeler JG, Hirschfield GM, et al. C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med. 2004;350(14):1387–1397.CrossRefPubMedGoogle Scholar
  18. 18.
    Danesh J, Kaptoge S, Mann AG, et al. Long-term interleukin-6 levels and subsequent risk of coronary heart disease: Two new prospective studies and a systematic review. PLoS medicine. 2008;5(4):e78.CrossRefPubMedPubMedCentralGoogle Scholar
  19. 19.
    Pradhan AD, Manson JE, Rifai N, Buring JE, Ridker PM. C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA. 2001;286(3):327–334.CrossRefPubMedGoogle Scholar
  20. 20.
    Ferrucci L, Harris TB, Guralnik JM, et al. Serum IL-6 level and the development of disability in older persons. J Am Geriatr Soc. 1999;47(6):639–646.CrossRefPubMedGoogle Scholar
  21. 21.
    Harris TB, Ferrucci L, Tracy RP, et al. Associations of elevated interleukin-6 and C-reactive protein levels with mortality in the elderly. Am J Med. 1999;106(5):506–512.CrossRefPubMedGoogle Scholar
  22. 22.
    Herd P, Karraker A, Friedman E. The social patterns of a biological risk factor for disease: Race, gender, socioeconomic position, and C-reactive protein. J Gerontol B Psychol Sci Soc Sci. 2012;67(4):503–513.CrossRefPubMedPubMedCentralGoogle Scholar
  23. 23.
    Nazmi A, Victora CG. Socioeconomic and racial/ethnic differentials of C-reactive protein levels: A systematic review of population-based studies. BMC Public Health. 2007;7(1):212.CrossRefPubMedPubMedCentralGoogle Scholar
  24. 24.
    Janicki-Deverts D, Cohen S, Kalra P, Matthews KA. The prospective association of socioeconomic status with C-reactive protein levels in the CARDIA study. Brain Behav Immun. 2012;26(7):1128–1135.CrossRefPubMedCentralGoogle Scholar
  25. 25.
    Luchetti M, Barkley JM, Stephan Y, Terracciano A, Sutin AR. Five-factor model personality traits and inflammatory markers: New data and a meta-analysis. Psychoneuroendocrinology. 2014;50:181–193.CrossRefPubMedPubMedCentralGoogle Scholar
  26. 26.
    Chapman BP, Khan A, Harper M, et al. Gender, race/ethnicity, personality, and interleukin-6 in urban primary care patients. Brain Behav Immun. 2009;23(5):636–642.CrossRefPubMedGoogle Scholar
  27. 27.
    Chapman BP, van Wijngaarden E, Seplaki CL, Talbot N, Duberstein P, Moynihan J. Openness and conscientiousness predict 34-SSweek patterns of interleukin-6 in older persons. Brain Behav Immun. 2011;25(4):667–673.CrossRefPubMedPubMedCentralGoogle Scholar
  28. 28.
    Mottus R, Luciano M, Starr JM, Pollard MC, Deary IJ. Personality traits and inflammation in men and women in their early 70s: The lothian birth cohort 1936 study of healthy aging. Psychosom Med. 2013;75(1):11–19.CrossRefPubMedGoogle Scholar
  29. 29.
    Armon G, Melamed S, Shirom A, Berliner S, Shapira I. The associations of the five factor model of personality with inflammatory biomarkers: A four-year prospective study. Pers Individ Dif. 2013;54(6):750–755.CrossRefGoogle Scholar
  30. 30.
    Sutin AR, Terracciano A, Deiana B, et al. High neuroticism and low conscientiousness are associated with interleukin-6. Psychol Med. 2010;40(09):1485–1493.CrossRefPubMedGoogle Scholar
  31. 31.
    Matthews KA, Gallo LC. Psychological perspectives on pathways linking socioeconomic status and physical health. Annu Rev Psychol. 2011;62:501.CrossRefPubMedPubMedCentralGoogle Scholar
  32. 32.
    Turiano NA, Chapman BP, Agrigoroaei S, Infurna FJ, Lachman M. Perceived control reduces mortality risk at low, not high, education levels. Health Psychol. 2014;33(8):883–890.CrossRefPubMedPubMedCentralGoogle Scholar
  33. 33.
    Jaconelli A, Stephan Y, Canada B, Chapman BP. Personality and physical functioning among older adults: The moderating role of education. J Gerontol B Psychol Sci Soc Sci. 2013;68(4):553–557.CrossRefPubMedGoogle Scholar
  34. 34.
    Lazzarino AI, Hamer M, Stamatakis E, Steptoe A. The combined association of psychological distress and socioeconomic status with all-cause mortality: A national cohort study. JAMA Intern. Med. 2013;173(1):22–27.CrossRefPubMedGoogle Scholar
  35. 35.
    Lazzarino AI, Hamer M, Stamatakis E, Steptoe A. Low socioeconomic status and psychological distress as synergistic predictors of mortality from stroke and coronary heart disease. Psychosom Med. 2013;75(3):311–316.CrossRefPubMedPubMedCentralGoogle Scholar
  36. 36.
    Elliot, A.J. & Chapman, B. P. Socioeconomic status, psychological resources, and inflammatory markers: Results from the MIDUS study. Health Psychol. 2016; doi: 10.1037/hea0000392.PubMedPubMedCentralGoogle Scholar
  37. 37.
    Millar K, Lloyd SM, McLean JS, et al. Personality, socio-economic status and inflammation: Cross-sectional, population-based study. PloS one. 2013;8(3):e58256.CrossRefPubMedPubMedCentralGoogle Scholar
  38. 38.
    Mwendwa DT, Ali MK, Sims RC, et al. Dispositional depression and hostility are associated with inflammatory markers of cardiovascular disease in African Americans. Brain Behav Immun. 2013;28:72–82.CrossRefPubMedGoogle Scholar
  39. 39.
    Love GD, Seeman TE, Weinstein M, Ryff CD. Bioindicators in the MIDUS national study: Protocol, measures, sample, and comparative context. J Aging Health. 2010;22(8):1059–1080.CrossRefPubMedCentralGoogle Scholar
  40. 40.
    O’Connor M, Bower JE, Cho HJ, et al. To assess, to control, to exclude: Effects of biobehavioral factors on circulating inflammatory markers. Brain Behav Immun. 2009;23(7):887–897.CrossRefPubMedPubMedCentralGoogle Scholar
  41. 41.
    Senn TE, Walsh JL, Carey MP. The mediating roles of perceived stress and health behaviors in the relation between objective, subjective, and neighborhood socioeconomic status and perceived health. Ann Behav Med. 2014:1-10.Google Scholar
  42. 42.
    Hauser RM, Warren JR, eds. Socioeconomic indexes for occupations: A review, update, and critique. 1996. Retrieved from http://www.ssc.wisc.edu/cde/cdewp/96–01.pdf.: University of Wisconsin-Madison Center for Demography & Ecology Working Paper No. 96–01.
  43. 43.
    Lachman M, Weaver SL. The midlife development inventory (MIDI) personality scales: Scale construction and scoring. (Tech. Rep. No.1). 1997. http://www.brandeis.edu/departments/psych/lachman/pdfs/midi-personality-scales.pdf
  44. 44.
    Zimprich D, Allemand M, Lachman ME. Factorial structure and age-related psychometrics of the MIDUS personality adjective items across the life span. Psychol Assess. 2012;24(1):173–186.CrossRefPubMedGoogle Scholar
  45. 45.
    Lachman, ME. Addendum for MIDI personality scales. MIDUS II version. 2005. http://www.brandeis.edu/departments/psych/lachman/pdfs/revised-midi-scales.pdf
  46. 46.
    Aiken LS, West SG. Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage; 1991.Google Scholar
  47. 47.
    Turiano NA, Mroczek DK, Moynihan J, Chapman BP. Big 5 personality traits and interleukin-6: Evidence for “healthy neuroticism” in a US population sample. Brain Behav Immun. 2013;28:83–89.CrossRefPubMedGoogle Scholar
  48. 48.
    Benjamini Y, Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol. 1995:289-300.Google Scholar
  49. 49.
    Hampson SE, Edmonds GW, Goldberg LR, Dubanoski JP, Hillier TA. Childhood conscientiousness relates to objectively measured adult physical health four decades later. Health Psychol. 2013;32(8):925.CrossRefPubMedPubMedCentralGoogle Scholar
  50. 50.
    Bogg T, Roberts BW. The case for conscientiousness: Evidence and implications for a personality trait marker of health and longevity. Ann. Behav. Med. 2013;45(3):278–288.CrossRefPubMedPubMedCentralGoogle Scholar
  51. 51.
    Chapman BP, Hampson S, Clarkin J. Personality-informed interventions for healthy aging: Conclusions from a national institute on aging work group. Dev Psychol. 2014;50(5):1426.CrossRefPubMedGoogle Scholar
  52. 52.
    Boyce CJ, Wood AM, Brown GD. The dark side of conscientiousness: Conscientious people experience greater drops in life satisfaction following unemployment. J Res Pers. 2010;44(4):535–539.CrossRefGoogle Scholar
  53. 53.
    Miller GE, Yu T, Chen E, Brody GH. Self-control forecasts better psychosocial outcomes but faster epigenetic aging in low-SES youth. Proc Natl Acad Sci U S A. 2015;112(33):10325–10330.CrossRefPubMedPubMedCentralGoogle Scholar
  54. 54.
    Subramanyam MA, James SA, Diez-Roux AV, et al. Socioeconomic status, John Henryism and blood pressure among African-Americans in the Jackson Heart Study. Soc Sci Med. 2013;93:139–146.CrossRefPubMedPubMedCentralGoogle Scholar
  55. 55.
    Ranjit N, Diez-Roux AV, Shea S, Cushman M, Ni H, Seeman T. Socioeconomic position, race/ethnicity, and inflammation in the multi-ethnic study of atherosclerosis. Circulation. 2007;116(21):2383–2390.CrossRefPubMedGoogle Scholar
  56. 56.
    McLaren L. Socioeconomic status and obesity. Epidemiol Rev. 2007;29:29–48.CrossRefPubMedGoogle Scholar
  57. 57.
    Connor-Smith JK, Flachsbart C. Relations between personality and coping: A meta-analysis. J Pers Soc Psychol. 2007;93(6):1080.CrossRefPubMedGoogle Scholar
  58. 58.
    Hagger-Johnson G, Roberts B, Boniface D, et al. Neuroticism and cardiovascular disease mortality: Socioeconomic status modifies the risk in women (UK health and lifestyle survey). Psychosom Med. 2012;74(6):596–603.CrossRefPubMedGoogle Scholar
  59. 59.
    Friedman HS. Long-term relations of personality and health: Dynamisms, mechanisms, tropisms. J Pers. 2000;68(6):1089–1107.CrossRefPubMedGoogle Scholar
  60. 60.
    Turiano NA, Whiteman SD, Hampson SE, Roberts BW, Mroczek DK. Personality and substance use in midlife: Conscientiousness as a moderator and the effects of trait change. J Res Pers. 2012;46(3):295–305.CrossRefPubMedPubMedCentralGoogle Scholar
  61. 61.
    Weston SJ, Jackson JJ. Identification of the healthy neurotic: Personality traits predict smoking after disease onset. J Res Pers. 2015;54:61–69.CrossRefGoogle Scholar
  62. 62.
    Lahey BB. Public health significance of neuroticism. Am Psychol. 2009;64(4):241–256.CrossRefPubMedPubMedCentralGoogle Scholar
  63. 63.
    Armstrong L, Rimes KA. Mindfulness-based cognitive therapy for neuroticism (stress vulnerability): A pilot randomized study. Behav Ther. 2016;47(3): 287–298.CrossRefPubMedGoogle Scholar
  64. 64.
    Roberts BW, Kuncel NR, Shiner R, Caspi A, Goldberg LR. The power of personality: The comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspect Psychol Sci. 2007;2(4):313–345.CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© The Society of Behavioral Medicine 2016

Authors and Affiliations

  • Ari J. Elliot
    • 1
  • Nicholas A. Turiano
    • 2
  • Benjamin P. Chapman
    • 1
    • 3
  1. 1.Department of PsychiatryUniversity of RochesterRochesterUSA
  2. 2.Department of PsychologyWest Virginia UniversityMorgantownUSA
  3. 3.Department of Public Health SciencesUniversity of Rochester Medical CenterRochesterUSA

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