Molecular Diagnosis & Therapy

, Volume 17, Issue 3, pp 147–164 | Cite as

Systematic Review of the Evidence of a Relationship Between Chronic Psychosocial Stress and C-Reactive Protein

  • Timothy V. JohnsonEmail author
  • Ammara Abbasi
  • Viraj A. Master
Review Article



C-reactive protein (CRP) is an acute-phase reactant with an increasing number of clinical functions. Studies in recent years have identified several social, economic, demographic, and psychological factors that contribute to baseline inflammation. Psychosocial stress represents a significant contributor to baseline inflammation. Given the importance of understanding background drivers of CRP levels, we conducted this review to assess the impact of chronic psychosocial stress on CRP levels.


Medline was searched through February 2013 for human studies examining CRP levels with respect to chronic psychosocial stress.


The initial search identified 587 articles from which 129 potentially appropriate articles were reviewed. Of these 129 articles, 41 articles were included in the review. These studies were published between 2003 and 2013. Of these studies, 6 analyzed employment stress, 2 analyzed unemployment stress, 6 analyzed burnout and vital exhaustion, 6 analyzed caregiver stress, 3 analyzed interpersonal stress, 17 analyzed socioeconomic position, and 2 analyzed discrimination.


We conclude that psychosocial stress significantly impacts CRP and should be considered when interpreting the meaning of CRP elevations.


Psychosocial Stress Socioeconomic Position Interpersonal Stress Caregiver Stress Vital Exhaustion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors received no funding and have no conflicts of interest that are directly relevant to the content of this article.


  1. 1.
    Steptoe A, Hamer M, Chida Y. The effects of acute psychological stress on circulating inflammatory factors in humans: a review and meta-analysis. Brain Behav Immun. 2007;21:901–12.PubMedGoogle Scholar
  2. 2.
    Jabs WJ, Busse M, Kruger S, Jocham D, Steinhoff J, Doehn C. Expression of C-reactive protein by renal cell carcinomas and unaffected surrounding renal tissue. Kidney Int. 2005;68(5):2103–10.PubMedGoogle Scholar
  3. 3.
    Brull DJ, Serrano N, Zito F, et al. Human CRP gene polymorphism influences CRP levels: implications for the prediction and pathogenesis of coronary heart disease. Arterioscler Thromb Vasc Biol. 2003;23(11):2063–9.PubMedGoogle Scholar
  4. 4.
    Greenfield JR, Samaras K, Jenkins AB, et al. Obesity is an important determinant of baseline serum C-reactive protein concentration in monozygotic twins, independent of genetic influences. Circulation. 2004;109(24):3022–8.PubMedGoogle Scholar
  5. 5.
    Hsiao AL, Baker MD. Fever in the new millennium: a review of recent studies of markers of serious bacterial infection in febrile children. Curr Opin Pediatr. 2005;17(1):56–61.PubMedGoogle Scholar
  6. 6.
    Johnson HL, Chiou CC, Cho CT. Applications of acute phase reactants in infectious diseases. J Microbiol Immunol Infect. 1999;32(2):73–82.PubMedGoogle Scholar
  7. 7.
    Johnson T, Young A, Osunkoya A, Master V. C-reactive protein: a clinically useful biomarker for metastasis of renal cell carcinoma. Mol Diagn Ther. 2010;14:191–3.PubMedGoogle Scholar
  8. 8.
    Johnson TV, Abbasi A, Owen-Smith A, et al. Absolute preoperative C-reactive protein predicts metastasis and mortality in the first year following potentially curative nephrectomy for clear cell renal cell carcinoma. J Urol. 2010;183(2):480–5.PubMedGoogle Scholar
  9. 9.
    Johnson TV, Abbasi A, Owen-Smith A, et al. Postoperative better than preoperative C-reactive protein at predicting outcome after potentially curative nephrectomy for renal cell carcinoma. Urology. 2010;76:766.e1–5.Google Scholar
  10. 10.
    Ford ES, Loucks EB, Berkman LF. Social integration and concentrations of C-reactive protein among US adults. Ann Epidemiol. 2006;16(2):78–84.PubMedGoogle Scholar
  11. 11.
    Friedman EM, Hayney MS, Love GD, et al. Social relationships, sleep quality, and interleukin-6 in aging women. Proc Natl Acad Sci U S A. 2005;102(51):18757–62.PubMedGoogle Scholar
  12. 12.
    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;7:212.PubMedGoogle Scholar
  13. 13.
    Cohen S, Kessler R, Gordon L. Strategies for measuring stress in studies of psychiatric and physical disorders. In: Cohen S, Kessler R, Gordon L, editors. Measuring stress: a guide for health and social scientists. New York: Oxford University Press; 1995. p. 3–26.Google Scholar
  14. 14.
    McEwen BS. Protection and damage from acute and chronic stress: allostasis and allostatic overload and relevance to the pathophysiology of psychiatric disorders. Ann N Y Acad Sci. 2004;1032:1–7.PubMedGoogle Scholar
  15. 15.
    Reiche EM, Nunes SO, Morimoto HK. Stress, depression, the immune system, and cancer. Lancet Oncol. 2004;5(10):617–25.PubMedGoogle Scholar
  16. 16.
    Everson-Rose SA, Lewis TT. Psychosocial factors and cardiovascular diseases. Annu Rev Public Health. 2005;26:469–500.PubMedGoogle Scholar
  17. 17.
    Festa A, D’Agostino R Jr, Howard G, Mykkanen L, Tracy RP, Haffner SM. Chronic subclinical inflammation as part of the insulin resistance syndrome: the Insulin Resistance Atherosclerosis Study (IRAS). Circulation. 2000;102(1):42–7.PubMedGoogle Scholar
  18. 18.
    Bailey MT, Kierstein S, Sharma S, et al. Social stress enhances allergen-induced airway inflammation in mice and inhibits corticosteroid responsiveness of cytokine production. J Immunol. 2009;182(12):7888–96.PubMedGoogle Scholar
  19. 19.
    Rozanski A, Blumenthal J, Davidson K, Saab P, Kubzansky L. The epidemiology, pathophysiology, and management of psychosocial risk factors in cardiac practice. J Am Coll Cardiol. 2005;45(5):637–51.PubMedGoogle Scholar
  20. 20.
    Karasek R, Baker D, Marxer F, Ahlbom A, Theorrel T. Job decision latitude, job demands, and cardiovascular disease: a prospective study of Swedish men. Am J Public Health. 1981;71:694–705.PubMedGoogle Scholar
  21. 21.
    Hemingway H, Marmot M. Evidence based cardiology: psychosocial factors in the aetiology and prognosis of coronary heart disease. Systematic review of prospective cohort studies. BMJ. 1999;318(7196):1460–7.PubMedGoogle Scholar
  22. 22.
    Siegrist J. Adverse health effects of high-effort/low-reward conditions. J Occup Health Psychol. 1996;71:694–705.Google Scholar
  23. 23.
    Kuper H, Singh-Manoux A, Siegrist J, Marmot M. When reciprocity fails: effort-reward imbalance in relation to coronary heart disease and health functioning within the Whitehall II study. Occup Environ Med. 2002;59(11):777–84.PubMedGoogle Scholar
  24. 24.
    Johnson JV, Hall EM, Theorell T. Combined effects of job strain and social isolation on cardiovascular disease morbidity and mortality in a random sample of the Swedish male working population. Scand J Work Environ Health. 1989;15(4):271–9.PubMedGoogle Scholar
  25. 25.
    Kivimaki M, Leino-Arjas P, Luukkonen R, Riihimaki H, Vahtera J, Kirjonen J. Work stress and risk of cardiovascular mortality: prospective cohort study of industrial employees. BMJ. 2002;325(7369):857.PubMedGoogle Scholar
  26. 26.
    Johnson JV, Stewart W, Hall EM, Fredlund P, Theorell T. Long-term psychosocial work environment and cardiovascular mortality among Swedish men. Am J Public Health. 1996;86(3):324–31.PubMedGoogle Scholar
  27. 27.
    Peter R, Siegrist J, Hallqvist J, Reuterwall C, Theorell T. Psychosocial work environment and myocardial infarction: improving risk estimation by combining two complementary job stress models in the SHEEP Study. J Epidemiol Community Health. 2002;56(4):294–300.PubMedGoogle Scholar
  28. 28.
    Emeny R, Lacruz ME, Baumert J, et al. Job strain associated CRP is mediated by leisure time physical activity: results from the MONICA/KORA study. Brain Behav Immun. 2012;26(7):1077–84.PubMedGoogle Scholar
  29. 29.
    Marmot MG, Bosma H, Hemingway H, Brunner E, Stansfeld S. Contribution of job control and other risk factors to social variations in coronary heart disease incidence. Lancet. 1997;350(9073):235–9.PubMedGoogle Scholar
  30. 30.
    Lynch J, Krause N, Kaplan GA, Salonen R, Salonen JT. Workplace demands, economic reward, and progression of carotid atherosclerosis. Circulation. 1997;96(1):302–7.PubMedGoogle Scholar
  31. 31.
    Muntaner C, Nieto FJ, Cooper L, Meyer J, Szklo M, Tyroler HA. Work organization and atherosclerosis: findings from the ARIC study. Atherosclerosis Risk in Communities. Am J Prev Med. 1998;14(1):9–18.PubMedGoogle Scholar
  32. 32.
    Nordstrom CK, Dwyer KM, Merz CN, Shircore A, Dwyer JH. Work-related stress and early atherosclerosis. Epidemiology. 2001;12(2):180–5.PubMedGoogle Scholar
  33. 33.
    Bosma H, Marmot MG, Hemingway H, Nicholson AC, Brunner E, Stansfeld SA. Low job control and risk of coronary heart disease in Whitehall II (prospective cohort) study. BMJ. 1997;314(7080):558–65.PubMedGoogle Scholar
  34. 34.
    Schnorpfeil P, Noll A, Schulze R, Ehlert U, Frey K, Fischer JE. Allostatic load and work conditions. Soc Sci Med. 2003;57(4):647–56.PubMedGoogle Scholar
  35. 35.
    Clays E, De Bacquer D, Delanghe J, Kittel F, Van Renterghem L, De Backer G. Associations between dimensions of job stress and biomarkers of inflammation and infection. J Occup Environ Med. 2005;47(9):878–83.PubMedGoogle Scholar
  36. 36.
    Bellingrath S, Weigl T, Kudielka BM. Chronic work stress and exhaustion is associated with higher allostastic load in female school teachers. Stress. 2009;12(1):37–48.PubMedGoogle Scholar
  37. 37.
    Almadi T, Cathers I, Hamdan Mansour AM, Chow CM. The association between work stress and inflammatory biomarkers in Jordanian male workers. Psychophysiology. 2012;49(2):172–7.PubMedGoogle Scholar
  38. 38.
    Hemingway H, Shipley M, Mullen MJ, et al. Social and psychosocial influences on inflammatory markers and vascular function in civil servants (the Whitehall II study). Am J Cardiol. 2003;92(8):984–7.PubMedGoogle Scholar
  39. 39.
    Poanta L, Craciun A, Dumitrascu DL. Professional stress and inflammatory markers in physicians. Rom J Intern Med. 2010;48(1):57–63.PubMedGoogle Scholar
  40. 40.
    Hintikka J, Lehto SM, Niskanen L, et al. Unemployment and ill health: a connection through inflammation? BMC Public Health. 2009;9:410.PubMedGoogle Scholar
  41. 41.
    Cook DG, Cummins RO, Bartley MJ, Shaper AG. Health of unemployed middle-aged men in Great Britain. Lancet. 1982;1(8284):1290–4.PubMedGoogle Scholar
  42. 42.
    Hammarstrom A. Health consequences of youth unemployment. Public Health. 1994;108(6):403–12.PubMedGoogle Scholar
  43. 43.
    Leino-Arjas P, Liira J, Mutanen P, Malmivaara A, Matikainen E. Predictors and consequences of unemployment among construction workers: prospective cohort study. BMJ. 1999;319(7210):600–5.PubMedGoogle Scholar
  44. 44.
    Breslin FC, Mustard C. Factors influencing the impact of unemployment on mental health among young and older adults in a longitudinal, population-based survey. Scand J Work Environ Health. 2003;29(1):5–14.PubMedGoogle Scholar
  45. 45.
    Janicki-Deverts D, Cohen S, Matthews KA, Cullen MR. History of unemployment predicts future elevations in C-reactive protein among male participants in the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Ann Behav Med. 2008;36(2):176–85.PubMedGoogle Scholar
  46. 46.
    Toker S, Shirom A, Shapira I, Berliner S, Melamed S. The association between burnout, depression, anxiety, and inflammation biomarkers: C-reactive protein and fibrinogen in men and women. J Occup Health Psychol. 2005;10(4):344–62.PubMedGoogle Scholar
  47. 47.
    Danhof-Pont MB, van Veen T, Zitman FG. Biomarkers in burnout: a systematic review. J Psychosom Res. 2011;70(6):505–24.PubMedGoogle Scholar
  48. 48.
    Appels A. Vital exhaustion as a precursor of myocardial infarction. New York: Wiley; 1988.Google Scholar
  49. 49.
    Appels A, Schouten E. Burnout as a risk factor for coronary heart disease. Behav Med. 1991;17(2):53–9.PubMedGoogle Scholar
  50. 50.
    Hallman T, Thomsson H, Burell G, Lisspers J, Setterlind S. Stress, burnout and coping: differences between women with coronary heart disease and healthy matched women. J Health Psychol. 2003;8(4):433–45.PubMedGoogle Scholar
  51. 51.
    Melamed S, Shirom A, Froom P. Burnout and risk of type 2 diabetes mellitus in Israeli workers. Toronto: Work, Stress and Health Conference; 2003.Google Scholar
  52. 52.
    Sheiner EK, Sheiner E, Carel R, Potashnik G, Shoham-Vardi I. Potential association between male infertility and occupational psychological stress. J Occup Environ Med. 2002;44(12):1093–9.PubMedGoogle Scholar
  53. 53.
    Halford C, Anderzen I, Arnetz B. Endocrine measures of stress and self-rated health: a longitudinal study. J Psychosom Res. 2003;55(4):317–20.PubMedGoogle Scholar
  54. 54.
    Appels A, Schouten E. Waking up exhausted as risk indicator of myocardial infarction. Am J Cardiol. 1991;68(4):395–8.PubMedGoogle Scholar
  55. 55.
    Gorter RC, Eijkman MA, Hoogstraten J. Burnout and health among Dutch dentists. Eur J Oral Sci. 2000;108(4):261–7.PubMedGoogle Scholar
  56. 56.
    Melamed S, Kushnir T, Shirom A. Burnout and risk factors for cardiovascular diseases. Behav Med. 1992;18(2):53–60.PubMedGoogle Scholar
  57. 57.
    Schaufeli W, Enzmann D. The burnout companion to study and practice: a critical analysis. Washington, DC: Taylor & Francis; 1998.Google Scholar
  58. 58.
    Melamed S, Ugarten U, Shirom A, Kahana L, Lerman Y, Froom P. Chronic burnout, somatic arousal and elevated salivary cortisol levels. J Psychosom Res. 1999;46(6):591–8.PubMedGoogle Scholar
  59. 59.
    Grossi G, Perski A, Evengard B, Blomkvist V, Orth-Gomer K. Physiological correlates of burnout among women. J Psychosom Res. 2003;55(4):309–16.PubMedGoogle Scholar
  60. 60.
    Langelaan S, Bakker AB, Schaufeli WB, van Rhenen W, van Doornen LJ. Is burnout related to allostatic load? Int J Behav Med. 2007;14(4):213–21.PubMedGoogle Scholar
  61. 61.
    Jonsdottir IH, Hagg DA, Glise K, Ekman R. Monocyte chemotactic protein-1 (MCP-1) and growth factors called into question as markers of prolonged psychosocial stress. PLoS One. 2009;4(11):e7659.PubMedGoogle Scholar
  62. 62.
    Wirtz PH, von Kanel R, Schnorpfeil P, Ehlert U, Frey K, Fischer JE. Reduced glucocorticoid sensitivity of monocyte interleukin-6 production in male industrial employees who are vitally exhausted. Psychosom Med. 2003;65(4):672–8.PubMedGoogle Scholar
  63. 63.
    Rohleder N, Marin T, Ma R, Miller G. Biologic cost of caring for a cancer patient: dysregulation of pro- and anti-inflammatory signaling pathways. J Clin Oncol. 2009;2(18):2909–15.Google Scholar
  64. 64.
    Kim Y, Schulz R. Family caregivers’ strains: comparative analysis of cancer caregiving with dementia, diabetes, and frail elderly caregiving. J Aging Health. 2008;20(5):483–503.PubMedGoogle Scholar
  65. 65.
    Kim Y, Given BA. Quality of life of family caregivers of cancer survivors: across the trajectory of the illness. Cancer. 2008;112(11 Suppl):2556–68.PubMedGoogle Scholar
  66. 66.
    Northouse LL, Mood DW, Montie JE, et al. Living with prostate cancer: patients’ and spouses’ psychosocial status and quality of life. J Clin Oncol. 2007;25(27):4171–7.PubMedGoogle Scholar
  67. 67.
    Braun M, Mikulincer M, Rydall A, Walsh A, Rodin G. Hidden morbidity in cancer: spouse caregivers. J Clin Oncol. 2007;25(30):4829–34.PubMedGoogle Scholar
  68. 68.
    Fletcher BS, Paul SM, Dodd MJ, et al. Prevalence, severity, and impact of symptoms on female family caregivers of patients at the initiation of radiation therapy for prostate cancer. J Clin Oncol. 2008;26(4):599–605.PubMedGoogle Scholar
  69. 69.
    Schulz R, Beach SR. Caregiving as a risk factor for mortality: the Caregiver Health Effects Study. JAMA. 1999;282(23):2215–9.PubMedGoogle Scholar
  70. 70.
    Lee S, Colditz GA, Berkman LF, Kawachi I. Caregiving and risk of coronary heart disease in U.S. women: a prospective study. Am J Prev Med. 2003;24(2):113–9.PubMedGoogle Scholar
  71. 71.
    Christakis NA, Allison PD. Mortality after the hospitalization of a spouse. N Engl J Med. 2006;354(7):719–30.PubMedGoogle Scholar
  72. 72.
    Rohleder N, Marin TJ, Ma R, Miller GE. Biologic cost of caring for a cancer patient: dysregulation of pro- and anti-inflammatory signaling pathways. J Clin Oncol. 2009;27(18):2909–15.PubMedGoogle Scholar
  73. 73.
    Miller GE, Chen E, Sze J, et al. A functional genomic fingerprint of chronic stress in humans: blunted glucocorticoid and increased NF-kappaB signaling. Biol Psychiatry. 2008;64(4):266–72.PubMedGoogle Scholar
  74. 74.
    Lovell B, Moss M, Wetherell M. The psychosocial, endocrine and immune consequences of caring for a child with autism or ADHD. Psychoneuroendocrinology. 2012;37(4):534–42.PubMedGoogle Scholar
  75. 75.
    von Kanel R, Dimsdale JE, Mills PJ, et al. Effect of Alzheimer caregiving stress and age on frailty markers interleukin-6, C-reactive protein, and D-dimer. J Gerontol A Biol Sci Med Sci. 2006;61(9):963–9.Google Scholar
  76. 76.
    von Kanel R, Ancoli-Israel S, Dimsdale JE, et al. Sleep and biomarkers of atherosclerosis in elderly Alzheimer caregivers and controls. Gerontology. 2010;56(1):41–50.Google Scholar
  77. 77.
    Shivpuri S, Gallo LC, Crouse JR, Allison MA. The association between chronic stress type and C-reactive protein in the multi-ethnic study of atherosclerosis: does gender make a difference? J Behav Med. 2012;35(1):74–85.PubMedGoogle Scholar
  78. 78.
    Meier-Ewert HK, Ridker PM, Rifai N, et al. Effect of sleep loss on C-reactive protein, an inflammatory marker of cardiovascular risk. J Am Coll Cardiol. 2004;43(4):678–83.PubMedGoogle Scholar
  79. 79.
    von Kanel R, Mills PJ, Mausbach BT, et al. Effect of Alzheimer caregiving on circulating levels of C-reactive protein and other biomarkers relevant to cardiovascular disease risk: a longitudinal study. Gerontology. 2012;58(4):354–65.Google Scholar
  80. 80.
    von Kanel R, Ancolli-Israel S, Dimsdale J, et al. Sleep and biomarkers of atherosclerosis in elderly Alzheimer caregivers and controls. Gerontology. 2010;56:41–50.Google Scholar
  81. 81.
    Miller GE, Rohleder N, Cole SW. Chronic interpersonal stress predicts activation of pro- and anti-inflammatory signaling pathways 6 months later. Psychosom Med. 2009;71(1):57–62.PubMedGoogle Scholar
  82. 82.
    Kiecolt-Glaser JK, Newton TL. Marriage and health: his and hers. Psychol Bull. 2001;127(4):472–503.PubMedGoogle Scholar
  83. 83.
    Repetti RL, Taylor SE, Seeman TE. Risky families: family social environments and the mental and physical health of offspring. Psychol Bull. 2002;128(2):330–66.PubMedGoogle Scholar
  84. 84.
    Cohen S, Janicki-Deverts D, Miller GE. Psychological stress and disease. JAMA. 2007;298(14):1685–7.PubMedGoogle Scholar
  85. 85.
    Mezuk B, Diez Roux AV, Seeman T. Evaluating the buffering vs. direct effects hypotheses of emotional social support on inflammatory markers: the Multi-Ethnic Study of Atherosclerosis. Brain Behav Immun. 2010;24:1294–300.PubMedGoogle Scholar
  86. 86.
    Fuligni AJ, Telzer EH, Bower J, Cole SW, Kiang L, Irwin MR. A preliminary study of daily interpersonal stress and C-reactive protein levels among adolescents from Latin American and European backgrounds. Psychosom Med. 2009;71(3):329–33.PubMedGoogle Scholar
  87. 87.
    Marin TJ, Martin TM, Blackwell E, Stetler C, Miller GE. Differentiating the impact of episodic and chronic stressors on hypothalamic-pituitary-adrenocortical axis regulation in young women. Health Psychol. 2007;26(4):447–55.PubMedGoogle Scholar
  88. 88.
    Gilligan T. Social disparities and prostate cancer: mapping the gaps in our knowledge. Cancer Causes Control. 2005;16(1):45–53.PubMedGoogle Scholar
  89. 89.
    Curry WT Jr, Barker FG 2nd. Racial, ethnic, and socioeconomic disparities in the treatment of brain tumors. J Neurooncol. 2009;93(1):25–39.PubMedGoogle Scholar
  90. 90.
    McCollum L, Pincus T. A biopsychosocial model to complement a biomedical model: patient questionnaire data and socioeconomic status usually are more significant than laboratory tests and imaging studies in prognosis of rheumatoid arthritis. Rheum Dis Clin North Am. 2009;35(4):699–712.PubMedGoogle Scholar
  91. 91.
    Burrows S, Laflamme L. Socioeconomic disparities and attempted suicide: state of knowledge and implications for research and prevention. Int J Inj Contr Saf Promot. 2010;17(1):23–40.PubMedGoogle Scholar
  92. 92.
    Demakakos P, Nazroo J, Breeze E, Marmot M. Socioeconomic status and health: the role of subjective social status. Soc Sci Med. 2008;67(2):330–40.PubMedGoogle Scholar
  93. 93.
    Hamer M, Chida Y. Associations of very high C-reactive protein concentration with psychosocial and cardiovascular risk factors in an ageing population. Atherosclerosis. 2009;206(2):599–603.PubMedGoogle Scholar
  94. 94.
    Maksimovic MZ, Vlajinac HD, Radak DJ, Maksimovic JM, Marinkovic JM, Jorga JB. Association of socioeconomic status measured by education and risk factors for carotid atherosclerosis: cross-sectional study. Croat Med J. 2008;49(6):824–31.PubMedGoogle Scholar
  95. 95.
    Gimeno D, Brunner EJ, Lowe GD, Rumley A, Marmot MG, Ferrie JE. Adult socioeconomic position, C-reactive protein and interleukin-6 in the Whitehall II prospective study. Eur J Epidemiol. 2007;22(10):675–83.PubMedGoogle Scholar
  96. 96.
    Tabassum F, Kumari M, Rumley A, Lowe G, Power C, Strachan DP. Effects of socioeconomic position on inflammatory and hemostatic markers: a life-course analysis in the 1958 British birth cohort. Am J Epidemiol. 2008;167(11):1332–41.PubMedGoogle Scholar
  97. 97.
    Brunner EJ, Kivimaki M, Witte DR, et al. Inflammation, insulin resistance, and diabetes—Mendelian randomization using CRP haplotypes points upstream. PLoS Med. 2008;5(8):e155.PubMedGoogle Scholar
  98. 98.
    Loucks EB, Pilote L, Lynch JW, et al. Life course socioeconomic position is associated with inflammatory markers: the Framingham Offspring Study. Soc Sci Med. 2010;71(1):187–95.PubMedGoogle Scholar
  99. 99.
    Friedman EM, Herd P. Income, education, and inflammation: differential associations in a national probability sample (the MIDUS study). Psychosom Med. 2010;72(3):290–300.PubMedGoogle Scholar
  100. 100.
    Gimeno D, Ferrie JE, Elovainio M, et al. When do social inequalities in C-reactive protein start? A life course perspective from conception to adulthood in the Cardiovascular Risk in Young Finns Study. Int J Epidemiol. 2008;37(2):290–8.PubMedGoogle Scholar
  101. 101.
    Gruenewald TL, Cohen S, Matthews KA, Tracy R, Seeman TE. Association of socioeconomic status with inflammation markers in black and white men and women in the Coronary Artery Risk Development in Young Adults (CARDIA) study. Soc Sci Med. 2009;69(3):451–9.PubMedGoogle Scholar
  102. 102.
    Muennig P, Sohler N, Mahato B. Socioeconomic status as an independent predictor of physiological biomarkers of cardiovascular disease: evidence from NHANES. Prev Med. 2007;45(1):35–40.PubMedGoogle Scholar
  103. 103.
    Holmes LM, Marcelli EA. Neighborhoods and systemic inflammation: high CRP among legal and unauthorized Brazilian migrants. Health Place. 2012;18(3):683–93.PubMedGoogle Scholar
  104. 104.
    Petersen KL, Marsland AL, Flory J, Votruba-Drzal E, Muldoon MF, Manuck SB. Community socioeconomic status is associated with circulating interleukin-6 and C-reactive protein. Psychosom Med. 2008;70(6):646–52.PubMedGoogle Scholar
  105. 105.
    Browning CR, Cagney KA, Iveniuk J. Neighborhood stressors and cardiovascular health: crime and C-reactive protein in Dallas, USA. Soc Sci Med. 2012;75(7):1271–9.PubMedGoogle Scholar
  106. 106.
    Nazmi A, Diez Roux A, Ranjit N, Seeman TE, Jenny NS. Cross-sectional and longitudinal associations of neighborhood characteristics with inflammatory markers: findings from the multi-ethnic study of atherosclerosis. Health Place. 2010;16(6):1104–12.PubMedGoogle Scholar
  107. 107.
    Kershaw KN, Mezuk B, Abdou CM, Rafferty JA, Jackson JS. Socioeconomic position, health behaviors, and C-reactive protein: a moderated-mediation analysis. Health Psychol. 2010;29(3):307–16.PubMedGoogle Scholar
  108. 108.
    Williams DR, Mohammed SA. Discrimination and racial disparities in health: evidence and needed research. J Behav Med. 2009;32(1):20–47.PubMedGoogle Scholar
  109. 109.
    Kung HC, Hoyert DL, Xu J, Murphy SL. Deaths: final data for 2005. Natl Vital Stat Rep. 2008;56(10):1–120.PubMedGoogle Scholar
  110. 110.
    Clark R, Anderson NB, Clark VR, Williams DR. Racism as a stressor for African Americans. A biopsychosocial model. Am Psychol. 1999;54(10):805–16.PubMedGoogle Scholar
  111. 111.
    Brondolo E, Rieppi R, Kelly KP, Gerin W. Perceived racism and blood pressure: a review of the literature and conceptual and methodological critique. Ann Behav Med. 2003;25(1):55–65.PubMedGoogle Scholar
  112. 112.
    Lazarus R. Emotion and adaptation. New York: Oxford University Press; 1991.Google Scholar
  113. 113.
    Lazarus RS. Toward better research on stress and coping. Am Psychol. 2000;55(6):665–73.PubMedGoogle Scholar
  114. 114.
    McDade TW, Hawkley LC, Cacioppo JT. Psychosocial and behavioral predictors of inflammation in middle-aged and older adults: the Chicago health, aging, and social relations study. Psychosom Med. 2006;68(3):376–81.PubMedGoogle Scholar
  115. 115.
    Paul K, Boutain D, Agnew K, Thomas J, Hitti J. The relationship between racial identity, income, stress and C-reactive protein among parous women: implications for preterm birth disparity research. J Natl Med Assoc. 2008;100(5):540–6.PubMedGoogle Scholar
  116. 116.
    Cunningham TJ, Seeman TE, Kawachi I, et al. Racial/ethnic and gender differences in the association between self-reported experiences of racial/ethnic discrimination and inflammation in the CARDIA cohort of 4 US communities. Soc Sci Med. 2012;75(5):922–31.PubMedGoogle Scholar
  117. 117.
    Lewis TT, Aiello AE, Leurgans S, Kelly J, Barnes LL. Self-reported experiences of everyday discrimination are associated with elevated C-reactive protein levels in older African-American adults. Brain Behav Immun. 2010;24(3):438–43.PubMedGoogle Scholar
  118. 118.
    Albert MA, Ravenell J, Glynn RJ, Khera A, Halevy N, de Lemos JA. Cardiovascular risk indicators and perceived race/ethnic discrimination in the Dallas Heart Study. Am Heart J. 2008;156(6):1103–9.PubMedGoogle Scholar
  119. 119.
    Moher D, Liberati A, Tetzlaff J, Altman DG; The PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. PLoS Med. 2009;6(s6):e1000097. doi: 10.1371/journal.pmed.1000097.

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Timothy V. Johnson
    • 1
    • 4
    Email author
  • Ammara Abbasi
    • 2
  • Viraj A. Master
    • 2
    • 3
  1. 1.Wills Eye InstituteThomas Jefferson UniversityPhiladelphiaUSA
  2. 2.Department of General SurgeryBeth Israel Deaconess Medical Center, Harvard Medical SchoolBostonUSA
  3. 3.Winship Cancer InstituteEmory UniversityAtlantaUSA
  4. 4.AtlantaUSA

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