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Gender and Racial/Ethnic Differences in CVD Risk: Behavioral and Psychosocial Risk and Resilience

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Abstract

Behavioral and psychosocial factors are well-established determinants of cardiovascular disease burden. These factors exert direct effects as well as interact with traditional risk factors to negatively, and positively, influence CVD outcomes. The aim of this chapter is to provide an overview of key behavioral and psychosocial CVD risk factors with a focus on sex, racial/ethnic, and socioeconomic variations in prevalence and impact. This review includes a discussion of specific behaviors, clustered risk such as the American Heart Association’s (AHA) ideal cardiovascular health metrics, psychosocial stress and clinical syndromes. We conclude with a review of emerging psychosocial resilience factors and recommendations for care.

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References

  1. Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, et al. Heart disease and stroke statistics—2017 update: a report from the American Heart Association. Circulation. 2017;135(10):e146–603. https://doi.org/10.1161/cir.0000000000000485.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Bucholz EM, Normand SL, Wang Y, Ma S, Lin H, Krumholz HM. Life expectancy and years of potential life lost after acute myocardial infarction by sex and race: a cohort-based study of medicare beneficiaries. J Am Coll Cardiol. 2015b;66(6):645–55. https://doi.org/10.1016/j.jacc.2015.06.022.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ruiz JM, Brondolo E. Introduction to the special issue disparities in cardiovascular health: Examining the contributions of social and behavioral factors. Health Psychol. 2016;35(4):309–12. https://doi.org/10.1037/hea0000364.

    Article  PubMed  Google Scholar 

  4. Abell JE, Egan BM, Wilson PW, Lipsitz S, Woolson RF, Lackland DT. Differences in cardiovascular disease mortality associated with body mass between Black and White persons. Am J Public Health. 2008;98(1):63–6. https://doi.org/10.2105/ajph.2006.093781.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Bielecki JM, Wong J, Mitsakakis N, Shah PS, Krahn MD, Rac VE. Disparities in a provision of in-hospital post-arrest interventions for out-of-hospital cardiac arrest (OHCA) in the elderly population-protocol for a systematic review. Syst Rev. 2016;5:55. https://doi.org/10.1186/s13643-016-0234-4.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Fiscella K, Holt K. Racial disparity in hypertension control: tallying the death toll. Ann Fam Med. 2008;6(6):497–502. https://doi.org/10.1370/afm.873.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Graham G. Disparities in cardiovascular disease risk in the United States. Curr Cardiol Rev. 2015;11(3):238–45.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Shah KS, Shah AS, Bhopal R. Systematic review and meta-analysis of out-of-hospital cardiac arrest and race or ethnicity: black US populations fare worse. Eur J Prev Cardiol. 2014;21(5):619–38. https://doi.org/10.1177/2047487312451815.

    Article  PubMed  Google Scholar 

  9. Bahrami H, Kronmal R, Bluemke DA, Olson J, Shea S, Liu K, et al. Differences in the incidence of congestive heart failure by ethnicity: the multi-ethnic study of atherosclerosis. Arch Intern Med. 2008;168(19):2138–45. https://doi.org/10.1001/archinte.168.19.2138.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Nelson AR. Unequal treatment: report of the Institute of Medicine on racial and ethnic disparities in healthcare. Ann Thorac Surg. 2003;76(4):S1377–81. S0003497503012050 [pii]

    Article  PubMed  Google Scholar 

  11. Giles T, Aranda JM Jr, Suh DC, Choi IS, Preblick R, Rocha R, Frech-Tamas F. Ethnic/racial variations in blood pressure awareness, treatment, and control. J Clin Hypertens (Greenwich). 2007;9(5):345–54.

    Article  Google Scholar 

  12. Lackland DT. Racial differences in hypertension: implications for high blood pressure management. Am J Med Sci. 2014;348(2):135–8. https://doi.org/10.1097/maj.0000000000000308.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Ostchega Y, Dillon CF, Hughes JP, Carroll M, Yoon S. Trends in hypertension prevalence, awareness, treatment, and control in older U.S. adults: data from the National Health and Nutrition Examination Survey 1988 to 2004. J Am Geriatr Soc. 2007;55(7):1056–65. https://doi.org/10.1111/j.1532-5415.2007.01215.x.

    Article  PubMed  Google Scholar 

  14. Mehta JL, Bursac Z, Mehta P, Bansal D, Fink L, Marsh J, et al. Racial disparities in prescriptions for cardioprotective drugs and cardiac outcomes in Veterans Affairs Hospitals. Am J Cardiol. 2010;105(7):1019–23. https://doi.org/10.1016/j.amjcard.2009.11.031.

    Article  PubMed  Google Scholar 

  15. Tuhrim S, Cooperman A, Rojas M, Brust JC, Koppel B, Martin K, Chassin M. The association of race and sex with the underuse of stroke prevention measures. J Stroke Cerebrovasc Dis. 2008;17(4):226–34. https://doi.org/10.1016/j.jstrokecerebrovasdis.2008.02.003.

    Article  PubMed  Google Scholar 

  16. Betancourt JR. Eliminating racial and ethnic disparities in health care: what is the role of academic medicine? Acad Med. 2006;81(9):788–92.

    Article  PubMed  Google Scholar 

  17. Jones MR, Diez-Roux AV, O’Neill MS, Guallar E, Sharrett AR, Post W, et al. Ambient air pollution and racial/ethnic differences in carotid intima-media thickness in the Multi-Ethnic Study of Atherosclerosis (MESA). J Epidemiol Community Health. 2015b;69(12):1191–8. https://doi.org/10.1136/jech-2015-205588.

    Article  PubMed  Google Scholar 

  18. Arias E, Eschbach K, Schauman WS, Backlund EL, Sorlie PD. The Hispanic mortality advantage and ethnic misclassification on US death certificates. Am J Public Health. 2010;100(Suppl 1):S171–7. https://doi.org/10.2105/ajph.2008.135863.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Ruiz JM, Hamann HA, Mehl M, O’Connor MF. The Hispanic health paradox: from epidemiological phenomenon to contribution opportunities for psychological science. Group Process Intergroup Relat. 2016b;19:462–76.

    Article  Google Scholar 

  20. Ruiz JM, Steffen P, Smith TB. Hispanic mortality paradox: a systematic review and meta-analysis of the longitudinal literature. Am J Public Health. 2013;103(3):e52–60. https://doi.org/10.2105/AJPH.2012.301103.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Balfour PC Jr, Ruiz JM, Talavera GA, Allison MA, Rodriguez CJ. Cardiovascular disease in Hispanics/Latinos in the United States. J Lat Psychol. 2016;4(2):98–113. https://doi.org/10.1037/lat0000056.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Cortes-Bergoderi M, Goel K, Murad MH, Allison T, Somers VK, Erwin PJ, et al. Cardiovascular mortality in Hispanics compared to non-Hispanic whites: a systematic review and meta-analysis of the Hispanic paradox. Eur J Intern Med. 2013;24(8):791–9. https://doi.org/10.1016/j.ejim.2013.09.003.

    Article  PubMed  Google Scholar 

  23. Shor E, Roelfs D, Vang ZM. The “Hispanic mortality paradox” revisited: meta-analysis and meta-regression of life-course differentials in Latin American and Caribbean immigrants’ mortality. Soc Sci Med. 2017;186:20–33. https://doi.org/10.1016/j.socscimed.2017.05.049.

    Article  PubMed  Google Scholar 

  24. Barnato AE, Lucas FL, Staiger D, Wennberg DE, Chandra A. Hospital-level racial disparities in acute myocardial infarction treatment and outcomes. Med Care. 2005;43(4):308–19.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Singh JA, Lu X, Ibrahim S, Cram P. Trends in and disparities for acute myocardial infarction: an analysis of Medicare claims data from 1992 to 2010. BMC Med. 2014;12:190. https://doi.org/10.1186/s12916-014-0190-6.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Hess C, Milli J, Hayes J, Hegewisch A, Mayayeva Y, Roman S, Anderson J Augeri J. The status of women in the states: 2015. 2016. Retrieved from Washington, DC.

    Google Scholar 

  27. Macartney S, Bishaw A, Fontenot K. Poverty rates for selected detiled race and Hispanic groups by state and place: 2007–2011. 2013. Retrieved from Washington, DC: https://www.census.gov/prod/2013pubs/acsbr11-17.pdf.

  28. O’Brien SA. 78 cents on the dollar: the facts about the gender wage gap. 2015. Retrieved from CNN Money: http://money.cnn.com/2015/04/13/news/economy/equal-pay-day-2015/.

  29. Williams DR, Mohammed SA, Leavell J, Collins C. Race, socioeconomic status, and health: complexities, ongoing challenges, and research opportunities. Ann N Y Acad Sci. 2010;1186:69–101. https://doi.org/10.1111/j.1749-6632.2009.05339.x.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Williams DR, Priest N, Anderson NB. Understanding associations among race, socioeconomic status, and health: patterns and prospects. Health Psychol. 2016;35(4):407–11. https://doi.org/10.1037/hea0000242.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Leng B, Jin Y, Li G, Chen L, Jin N. Socioeconomic status and hypertension: a meta-analysis. J Hypertens. 2015;33(2):221–9. https://doi.org/10.1097/hjh.0000000000000428.

    Article  PubMed  CAS  Google Scholar 

  32. Marmot MG. Socio-economic factors in cardiovascular disease. J Hypertens Suppl. 1996;14(5):S201–5.

    PubMed  CAS  Google Scholar 

  33. Pollitt RA, Rose KM, Kaufman JS. Evaluating the evidence for models of life course socioeconomic factors and cardiovascular outcomes: a systematic review. BMC Public Health. 2005;5:7. https://doi.org/10.1186/1471-2458-5-7.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Tang KL, Rashid R, Godley J, Ghali WA. Association between subjective social status and cardiovascular disease and cardiovascular risk factors: a systematic review and meta-analysis. BMJ Open. 2016;6(3):e010137. https://doi.org/10.1136/bmjopen-2015-010137.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Carlsson AC, Li X, Holzmann MJ, Wandell P, Gasevic D, Sundquist J, Sundquist K. Neighbourhood socioeconomic status and coronary heart disease in individuals between 40 and 50 years. Heart. 2016;102(10):775–82. https://doi.org/10.1136/heartjnl-2015-308784.

    Article  PubMed  Google Scholar 

  36. Manrique-Garcia E, Sidorchuk A, Hallqvist J, Moradi T. Socioeconomic position and incidence of acute myocardial infarction: a meta-analysis. J Epidemiol Community Health. 2011;65(4):301–9. https://doi.org/10.1136/jech.2009.104075.

    Article  PubMed  Google Scholar 

  37. Kelly MJ, Weitzen S. The association of lifetime education with the prevalence of myocardial infarction: an analysis of the 2006 Behavioral Risk Factor Surveillance System. J Community Health. 2010;35(1):76–80. https://doi.org/10.1007/s10900-009-9189-x.

    Article  PubMed  Google Scholar 

  38. Alter DA, Chong A, Austin PC, Mustard C, Iron K, Williams JI, et al. Socioeconomic status and mortality after acute myocardial infarction. Ann Intern Med. 2006;144(2):82–93.

    Article  PubMed  Google Scholar 

  39. Bucholz EM, Ma S, Normand SL, Krumholz HM. Race, socioeconomic status, and life expectancy after acute myocardial infarction. Circulation. 2015a;132(14):1338–46. https://doi.org/10.1161/circulationaha.115.017009.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Gerber Y, Benyamini Y, Goldbourt U, Drory Y. Neighborhood socioeconomic context and long-term survival after myocardial infarction. Circulation. 2010;121(3):375–83. https://doi.org/10.1161/circulationaha.109.882555.

    Article  PubMed  Google Scholar 

  41. Koren A, Steinberg DM, Drory Y, Gerber Y. Socioeconomic environment and recurrent coronary events after initial myocardial infarction. Ann Epidemiol. 2012;22(8):541–6. https://doi.org/10.1016/j.annepidem.2012.04.023.

    Article  PubMed  Google Scholar 

  42. Barnard J, Grant SW, Hickey GL, Bridgewater B. Is social deprivation an independent predictor of outcomes following cardiac surgery? An analysis of 240,221 patients from a national registry. BMJ Open. 2015;5(6):e008287. https://doi.org/10.1136/bmjopen-2015-008287.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Gibson PH, Croal BL, Cuthbertson BH, Gibson G, Jeffrey RR, Buchan KG, et al. Socio-economic status and early outcome from coronary artery bypass grafting. Heart. 2009;95(10):793–8. https://doi.org/10.1136/hrt.2008.149849.

    Article  PubMed  CAS  Google Scholar 

  44. Jones DA, Howard JP, Rathod KS, Gallagher SM, Knight CJ, Jain AK, et al. The impact of socio-economic status on all-cause mortality after percutaneous coronary intervention: an observational cohort study of 13,770 patients. EuroIntervention. 2015a;10(10):e1–8. https://doi.org/10.4244/eijv10i10a196.

    Article  PubMed  Google Scholar 

  45. Taylor FC, Ascione R, Rees K, Narayan P, Angelini GD. Socioeconomic deprivation is a predictor of poor postoperative cardiovascular outcomes in patients undergoing coronary artery bypass grafting. Heart. 2003;89(9):1062–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Gerber Y, Goldbourt U, Drory Y. Interaction between income and education in predicting long-term survival after acute myocardial infarction. Eur J Cardiovasc Prev Rehabil. 2008;15(5):526–32. https://doi.org/10.1097/HJR.0b013e328304feac.

    Article  PubMed  Google Scholar 

  47. Backholer K, Peters SAE, Bots SH, Peeters A, Huxley RR, Woodward M. Sex differences in the relationship between socioeconomic status and cardiovascular disease: a systematic review and meta-analysis. J Epidemiol Community Health. 2017;71(6):550–7. https://doi.org/10.1136/jech-2016-207890.

    Article  PubMed  Google Scholar 

  48. Smith TW, Ruiz JM. Psychosocial influences on the development and course of coronary heart disease: current status and implications for research and practice. J Consult Clin Psychol. 2002;70(3):548–68.

    Article  PubMed  Google Scholar 

  49. Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association’s strategic Impact Goal through 2020 and beyond. Circulation. 2010;121(4):586–613. https://doi.org/10.1161/circulationaha.109.192703.

    Article  PubMed  Google Scholar 

  50. Sacco RL. The new American Heart Association 2020 goal: achieving ideal cardiovascular health. J Cardiovasc Med (Hagerstown). 2011b;12(4):255–7. https://doi.org/10.2459/JCM.0b013e328343e986.

    Article  Google Scholar 

  51. Department of Health and Human Services. The health consequnces of smoking: 50 years of progress. A report of the surgeon general. 2014. Retrieved from Atlanta, GA: https://www.surgeongeneral.gov/library/reports/50-years-of-progress/full-report.pdf.

  52. Jamal A, King BA, Neff LJ, Whitmill J, Babb SD, Graffunder CM. Cigarette smoking among adults—United States, 2005–2015. 2016. Washington, DC. Retrieved from https://www.cdc.gov/mmwr/volumes/65/wr/mm6544a2.htm?s_cid=mm6544a2_w.

  53. Peters SA, Huxley RR, Woodward M. Smoking as a risk factor for stroke in women compared with men: a systematic review and meta-analysis of 81 cohorts, including 3,980,359 individuals and 42,401 strokes. Stroke. 2013;44(10):2821–8. https://doi.org/10.1161/strokeaha.113.002342.

    Article  PubMed  Google Scholar 

  54. Huxley RR, Woodward M. Cigarette smoking as a risk factor for coronary heart disease in women compared with men: a systematic review and meta-analysis of prospective cohort studies. Lancet. 2011;378(9799):1297–305. https://doi.org/10.1016/s0140-6736(11)60781-2.

    Article  PubMed  Google Scholar 

  55. Cahill K, Stevens S, Perera R, Lancaster T. Pharmacological interventions for smoking cessation: an overview and network meta-analysis. Cochrane Database Syst Rev 2013;(5): Cd009329. https://doi.org/10.1002/14651858.CD009329.pub2.

  56. Prestwich A, Moore S, Kotze A, Budworth L, Lawton R, Kellar I. How can smoking cessation be induced before surgery? A systematic review and meta-analysis of behavior change techniques and other intervention characteristics. Front Psychol. 2017;8:915. https://doi.org/10.3389/fpsyg.2017.00915.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Suissa K, Lariviere J, Eisenberg MJ, Eberg M, Gore GC, Grad R, et al. Efficacy and safety of smoking cessation interventions in patients with cardiovascular disease: a network meta-analysis of randomized controlled trials. Circ Cardiovasc Qual Outcomes. 2017;10(1):pii: e002458. https://doi.org/10.1161/circoutcomes.115.002458.

    Article  Google Scholar 

  58. Chaiton M, Diemert L, Cohen JE, Bondy SJ, Selby P, Philipneri A, Schwartz R. Estimating the number of quit attempts it takes to quit smoking successfully in a longitudinal cohort of smokers. BMJ Open. 2016;6(6):e011045. https://doi.org/10.1136/bmjopen-2016-011045.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Miller WR. Motivational interviewing with problem drinkers. Behav Psychother. 1983;11:147–72.

    Article  Google Scholar 

  60. Heckman CJ, Egleston BL, Hofmann MT. Efficacy of motivational interviewing for smoking cessation: a systematic review and meta-analysis. Tob Control. 2010;19(5):410–6. https://doi.org/10.1136/tc.2009.033175.

    Article  PubMed  Google Scholar 

  61. VanBuskirk KA, Wetherell JL. Motivational interviewing with primary care populations: a systematic review and meta-analysis. J Behav Med. 2014;37(4):768–80. https://doi.org/10.1007/s10865-013-9527-4.

    Article  PubMed  Google Scholar 

  62. Choi WS, Faseru B, Beebe LA, Greiner AK, Yeh HW, Shireman TI, et al. Culturally-tailored smoking cessation for American Indians: study protocol for a randomized controlled trial. Trials. 2011;12:126. https://doi.org/10.1186/1745-6215-12-126.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Kong G, Singh N, Krishnan-Sarin S. A review of culturally targeted/tailored tobacco prevention and cessation interventions for minority adolescents. Nicotine Tob Res. 2012;14(12):1394–406. https://doi.org/10.1093/ntr/nts118.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Correia de Faria Santarem G, de Cleva R, Santo MA, Bernhard AB, Gadducci AV, Greve JM, Silva PR. Correlation between body composition and walking capacity in severe obesity. PLoS One. 2015;10(6):e0130268. https://doi.org/10.1371/journal.pone.0130268.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  65. McGee DL. Body mass index and mortality: a meta-analysis based on person-level data from twenty-six observational studies. Ann Epidemiol. 2005;15(2):87–97. https://doi.org/10.1016/j.annepidem.2004.05.012.

    Article  PubMed  Google Scholar 

  66. National Center for Health Statistics. Health, United States, 2016: with chartbook on long-term trends in health. Hyattsville, MD: U.S. Government Printing Office; 2017. Retrieved from https://www.cdc.gov/nchs/data/hus/hus16.pdf#053

    Google Scholar 

  67. Department of Health and Human Services. 2008 physical activity guidelines for Americans. 2008. Retrieved from https://health.gov/paguidelines/pdf/paguide.pdf.

  68. Marquez DX, Neighors CJ, Bustamante EE. Leisure time and occupational physical activity among racial or ethnic minorities. Med Scie Sports Exercise. 2010;42:1086–93. https://doi.org/10.1249/MSS.0b013e3181c5ec05.

  69. Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of obesity among adults and youth: United States, 2011-2014. NCHS Data Brief 2015;(219):1–8.

    Google Scholar 

  70. Sacco RL. Achieving ideal cardiovascular and brain health: opportunity amid crisis: presidential address at the American Heart Association 2010 Scientific Sessions. Circulation. 2011a;123(22):2653–7. https://doi.org/10.1161/CIR.0b013e318220dec1.

    Article  PubMed  Google Scholar 

  71. Gaye B, Canonico M, Perier MC, Samieri C, Berr C, Dartigues JF, et al. Ideal cardiovascular health, mortality, and vascular events in elderly subjects: the three-city study. J Am Coll Cardiol. 2017;69(25):3015–26. https://doi.org/10.1016/j.jacc.2017.05.011.

    Article  PubMed  Google Scholar 

  72. Ogunmoroti O, Oni E, Michos ED, Spatz ES, Allen NB, Rana JS, et al. Life’s simple 7 and incident heart failure: the multi-ethnic study of atherosclerosis. J Am Heart Assoc. 2017;6(6):pii: e005180. https://doi.org/10.1161/jaha.116.005180.

    Article  Google Scholar 

  73. Ommerborn MJ, Blackshear CT, Hickson DA, Griswold ME, Kwatra J, Djousse L, Clark CR. Ideal cardiovascular health and incident cardiovascular events: the Jackson Heart Study. Am J Prev Med. 2016;51(4):502–6. https://doi.org/10.1016/j.amepre.2016.07.003.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Polonsky TS, Ning H, Daviglus ML, Liu K, Burke GL, Cushman M, et al. Association of cardiovascular health with subclinical disease and incident events: the multi-ethnic study of atherosclerosis. J Am Heart Assoc. 2017;6(3):pii: e004894. https://doi.org/10.1161/jaha.116.004894.

    Article  CAS  Google Scholar 

  75. Xanthakis V, Enserro DM, Murabito JM, Polak JF, Wollert KC, Januzzi JL, et al. Ideal cardiovascular health: associations with biomarkers and subclinical disease and impact on incidence of cardiovascular disease in the Framingham Offspring Study. Circulation. 2014;130(19):1676–83. https://doi.org/10.1161/circulationaha.114.009273.

    Article  PubMed  CAS  Google Scholar 

  76. Fang N, Jiang M, Fan Y. Ideal cardiovascular health metrics and risk of cardiovascular disease or mortality: a meta-analysis. Int J Cardiol. 2016;214:279–83. https://doi.org/10.1016/j.ijcard.2016.03.210.

    Article  PubMed  Google Scholar 

  77. Alvarez GG, Ayas NT. The impact of daily sleep duration on health: a review of the literature. Prog Cardiovasc Nurs. 2004;19(2):56–9.

    Article  PubMed  Google Scholar 

  78. Ayas NT, White DP, Manson JE, Stampfer MJ, Speizer FE, Malhotra A, Hu FB. A prospective study of sleep duration and coronary heart disease in women. Arch Intern Med. 2003;163(2):205–9.

    Article  PubMed  Google Scholar 

  79. Irwin MR. Why sleep is important for health: a psychoneuroimmunology perspective. Annu Rev Psychol. 2015;66:143–72. https://doi.org/10.1146/annurev-psych-010213-115205.

    Article  PubMed  Google Scholar 

  80. Patel SR, Ayas NT, Malhotra MR, White DP, Schernhammer ES, Speizer FE, et al. A prospective study of sleep duration and mortality risk in women. Sleep. 2004;27(3):440–4.

    Article  PubMed  Google Scholar 

  81. Irwin MR, Olmstead R, Carroll JE. Sleep Disturbance, sleep duration, and inflammation: a systematic review and meta-analysis of cohort studies and experimental sleep deprivation. Biol Psychiatry. 2016;80(1):40–52. https://doi.org/10.1016/j.biopsych.2015.05.014.

    Article  PubMed  Google Scholar 

  82. Cappuccio FP, Cooper D, D’Elia L, Strazzullo P, Miller MA. Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies. Eur Heart J. 2011;32(12):1484–92. https://doi.org/10.1093/eurheartj/ehr007.

    Article  PubMed  Google Scholar 

  83. Cappuccio FP, D’Elia L, Strazzullo P, Miller MA. Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis. Diabetes Care. 2010a;33(2):414–20. https://doi.org/10.2337/dc09-1124.

    Article  PubMed  Google Scholar 

  84. Li L, Zhang S, Huang Y, Chen K. Sleep duration and obesity in children: a systematic review and meta-analysis of prospective cohort studies. J Paediatr Child Health. 2017;53(4):378–85. https://doi.org/10.1111/jpc.13434.

    Article  PubMed  Google Scholar 

  85. Cappuccio FP, D’Elia L, Strazzullo P, Miller MA. Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies. Sleep. 2010b;33(5):585–92.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Liu Y, Wheaton AG, Chapman DP, Cunningham TJ, Lu H, Croft JB. Prevalence of healthy sleep duration among adults—United States, 2014. MMWR Morb Mortal Wkly Rep. 2016;65(6):137–41. https://doi.org/10.15585/mmwr.mm6506a1.

    Article  PubMed  Google Scholar 

  87. Beydoun HA, Beydoun MA, Chen X, Chang JJ, Gamaldo AA, Eid SM, Zonderman AB. Sex and age differences in the associations between sleep behaviors and all-cause mortality in older adults: results from the National Health and Nutrition Examination Surveys. Sleep Med. 2017;36:141–51. https://doi.org/10.1016/j.sleep.2017.05.006.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Friedrich A, Schlarb AA. Let’s talk about sleep: a systematic review of psychological interventions to improve sleep in college students. J Sleep Res. 2017. https://doi.org/10.1111/jsr.12568.

  89. Vezina-Im LA, Moreno JP, Nicklas TA, Baranowski T. Behavioral interventions to promote adequate sleep among women: protocol for a systematic review and meta-analysis. Syst Rev. 2017;6(1):95. https://doi.org/10.1186/s13643-017-0490-y.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Albus C. Psychological and social factors in coronary heart disease. Ann Med. 2010;42(7):487–94. https://doi.org/10.3109/07853890.2010.515605.

    Article  PubMed  Google Scholar 

  91. Rozanski A, Blumenthal JA, Kaplan J. Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation. 1999;99(16):2192–217.

    Article  CAS  PubMed  Google Scholar 

  92. Engel GL. The need for a new medical model: a challenge for biomedicine. Science. 1977;196(4286):129–36.

    Article  CAS  PubMed  Google Scholar 

  93. Cannon WB. “Voodoo” death. American Anthropologist, 1942;44(new series):169–181. Am J Public Health. 2002;92(10):1593–6. discussion 1594–5

    Article  PubMed  PubMed Central  Google Scholar 

  94. Selye H, Fortier C. Adaptive reactions to stress. Res Publ Assoc Res Nerv Ment Dis. 1949;29:3–18.

    PubMed  CAS  Google Scholar 

  95. American Psychological Association. Stress in American: coping with change. 2017. Retrieved from http://www.apa.org/news/press/releases/stress/2016/coping-with-change.PDF.

  96. Adler NE. Health disparities: taking on the challenge. Perspect Psychol Sci. 2013;8(6):679–81. https://doi.org/10.1177/1745691613506909.

    Article  PubMed  Google Scholar 

  97. Adler NE, Boyce T, Chesney MA, Cohen S, Folkman S, Kahn RL, Syme SL. Socioeconomic status and health. The challenge of the gradient. Am Psychol. 1994;49(1):15–24.

    Article  CAS  PubMed  Google Scholar 

  98. Heslop P, Smith GD, Carroll D, Macleod J, Hyland F, Hart C. Perceived stress and coronary heart disease risk factors: the contribution of socio-economic position. Br J Health Psychol. 2001;6(Pt 2):167–78. https://doi.org/10.1348/135910701169133.

    Article  PubMed  CAS  Google Scholar 

  99. Mouchacca J, Abbott GR, Ball K. Associations between psychological stress, eating, physical activity, sedentary behaviours and body weight among women: a longitudinal study. BMC Public Health. 2013;13:828. https://doi.org/10.1186/1471-2458-13-828.

    Article  PubMed  PubMed Central  Google Scholar 

  100. Kivimaki M, Nyberg ST, Batty GD, Fransson EI, Heikkila K, Alfredsson L, et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet. 2012;380(9852):1491–7. https://doi.org/10.1016/s0140-6736(12)60994-5.

    Article  PubMed  PubMed Central  Google Scholar 

  101. Richardson S, Shaffer JA, Falzon L, Krupka D, Davidson KW, Edmondson D. Meta-analysis of perceived stress and its association with incident coronary heart disease. Am J Cardiol. 2012;110(12):1711–6. https://doi.org/10.1016/j.amjcard.2012.08.004.

    Article  PubMed  PubMed Central  Google Scholar 

  102. Kamarck TW, Shiffman S, Sutton-Tyrrell K, Muldoon MF, Tepper P. Daily psychological demands are associated with 6-year progression of carotid artery atherosclerosis: the Pittsburgh Healthy Heart Project. Psychosom Med. 2012;74(4):432–9. https://doi.org/10.1097/PSY.0b013e3182572599.

    Article  PubMed  PubMed Central  Google Scholar 

  103. Stewart JC, Janicki DL, Muldoon MF, Sutton-Tyrrell K, Kamarck TW. Negative emotions and 3-year progression of subclinical atherosclerosis. Arch Gen Psychiatry. 2007;64(2):225–33. https://doi.org/10.1001/archpsyc.64.2.225.

    Article  PubMed  Google Scholar 

  104. Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364(9438):937–52. https://doi.org/10.1016/s0140-6736(04)17018-9.

    Article  PubMed  Google Scholar 

  105. Iso H, Date C, Yamamoto A, Toyoshima H, Tanabe N, Kikuchi S, et al. Perceived mental stress and mortality from cardiovascular disease among Japanese men and women: the Japan Collaborative Cohort Study for Evaluation of Cancer Risk Sponsored by Monbusho (JACC Study). Circulation. 2002;106(10):1229–36.

    Article  PubMed  Google Scholar 

  106. 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):22–7. https://doi.org/10.1001/2013.jamainternmed.951.

    Article  PubMed  Google Scholar 

  107. Rosengren A, Hawken S, Ounpuu S, Sliwa K, Zubaid M, Almahmeed WA, et al. Association of psychosocial risk factors with risk of acute myocardial infarction in 11119 cases and 13648 controls from 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364(9438):953–62. https://doi.org/10.1016/s0140-6736(04)17019-0.

    Article  PubMed  Google Scholar 

  108. Chida Y, Hamer M. Chronic psychosocial factors and acute physiological responses to laboratory-induced stress in healthy populations: a quantitative review of 30 years of investigations. Psychol Bull. 2008;134(6):829–85. https://doi.org/10.1037/a0013342.

    Article  PubMed  Google Scholar 

  109. Kaplan JR, Manuck SB. Status, stress, and atherosclerosis: the role of environment and individual behavior. Ann N Y Acad Sci. 1999;896:145–61.

    Article  CAS  PubMed  Google Scholar 

  110. Lovallo WR, Gerin W. Psychophysiological reactivity: mechanisms and pathways to cardiovascular disease. Psychosom Med. 2003;65(1):36–45.

    Article  PubMed  Google Scholar 

  111. Clarkson TB, Kaplan JR, Adams MR, Manuck SB. Psychosocial influences on the pathogenesis of atherosclerosis among nonhuman primates. Circulation. 1987;76(1 Pt 2):I29–40.

    PubMed  CAS  Google Scholar 

  112. Jennings JR, Kamarck TW, Everson-Rose SA, Kaplan GA, Manuck SB, Salonen JT. Exaggerated blood pressure responses during mental stress are prospectively related to enhanced carotid atherosclerosis in middle-aged Finnish men. Circulation. 2004;110(15):2198–203. https://doi.org/10.1161/01.cir.0000143840.77061.e9.

    Article  PubMed  Google Scholar 

  113. Kaplan JR, Manuck SB, Clarkson TB, Lusso FM, Taub DM, Miller EW. Social stress and atherosclerosis in normocholesterolemic monkeys. Science. 1983;220(4598):733–5.

    Article  CAS  PubMed  Google Scholar 

  114. Mostofsky E, Penner EA, Mittleman MA. Outbursts of anger as a trigger of acute cardiovascular events: a systematic review and meta-analysis. Eur Heart J. 2014;35(21):1404–10. https://doi.org/10.1093/eurheartj/ehu033.

    Article  PubMed  PubMed Central  Google Scholar 

  115. Smyth A, O’Donnell M, Lamelas P, Teo K, Rangarajan S, Yusuf S. Physical activity and anger or emotional upset as triggers of acute myocardial infarction: the INTERHEART study. Circulation. 2016;134(15):1059–67. https://doi.org/10.1161/circulationaha.116.023142.

    Article  PubMed  Google Scholar 

  116. Eitel I, von Knobelsdorff-Brenkenhoff F, Bernhardt P, Carbone I, Muellerleile K, Aldrovandi A, et al. Clinical characteristics and cardiovascular magnetic resonance findings in stress (takotsubo) cardiomyopathy. JAMA. 2011;306(3):277–86. https://doi.org/10.1001/jama.2011.992.

    Article  PubMed  CAS  Google Scholar 

  117. Goldberg RJ, Spencer F, Lessard D, Yarzebski J, Lareau C, Gore JM. Occurrence of acute myocardial infarction in Worcester, Massachusetts, before, during, and after the terrorists attacks in New York City and Washington, DC, on 11 September 2001. Am J Cardiol. 2005;95(2):258–60. https://doi.org/10.1016/j.amjcard.2004.08.094.

    Article  PubMed  Google Scholar 

  118. Tanaka F, Makita S, Ito T, Onoda T, Sakata K, Nakamura M. Relationship between the seismic scale of the 2011 northeast Japan earthquake and the incidence of acute myocardial infarction: a population-based study. Am Heart J. 2015;169(6):861–9. https://doi.org/10.1016/j.ahj.2015.02.007.

    Article  PubMed  Google Scholar 

  119. Isasi CR, Parrinello CM, Jung MM, Carnethon MR, Birnbaum-Weitzman O, Espinoza RA, et al. Psychosocial stress is associated with obesity and diet quality in Hispanic/Latino adults. Ann Epidemiol. 2015;25(2):84–9. https://doi.org/10.1016/j.annepidem.2014.11.002.

    Article  PubMed  Google Scholar 

  120. Nyberg ST, Fransson EI, Heikkila K, Alfredsson L, Casini A, Clays E, et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS One. 2013;8(6):e67323. https://doi.org/10.1371/journal.pone.0067323.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  121. Ortega-Montiel J, Posadas-Romero C, Ocampo-Arcos W, Medina-Urrutia A, Cardoso-Saldana G, Jorge-Galarza E, Posadas-Sanchez R. Self-perceived stress is associated with adiposity and atherosclerosis. The GEA Study. BMC Public Health. 2015;15:780. https://doi.org/10.1186/s12889-015-2112-8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  122. Wardle J, Chida Y, Gibson EL, Whitaker KL, Steptoe A. Stress and adiposity: a meta-analysis of longitudinal studies. Obesity (Silver Spring). 2011;19(4):771–8. https://doi.org/10.1038/oby.2010.241.

    Article  Google Scholar 

  123. Roohafza H, Kabir A, Sadeghi M, Shokouh P, Ahmadzad-Asl M, Khadem-Maboudi AA, Sarrafzadegan N. Stress as a risk factor for noncompliance with treatment regimens in patients with diabetes and hypertension. ARYA Atheroscler. 2016;12(4):166–71.

    PubMed  PubMed Central  Google Scholar 

  124. Leventhal AM, Urman R, Barrington-Trimis JL, Goldenson NI, Gallegos K, Chou CP, et al. Perceived stress and poly-tobacco product use across adolescence: patterns of association and gender differences. J Psychiatr Res. 2017;94:172–9. https://doi.org/10.1016/j.jpsychires.2017.07.010.

    Article  PubMed  PubMed Central  Google Scholar 

  125. Saladin ME, Gray KM, Carpenter MJ, LaRowe SD, DeSantis SM, Upadhyaya HP. Gender differences in craving and cue reactivity to smoking and negative affect/stress cues. Am J Addict. 2012;21(3):210–20. https://doi.org/10.1111/j.1521-0391.2012.00232.x.

    Article  PubMed  PubMed Central  Google Scholar 

  126. Kessler RC, Chiu WT, Demler O, Merikangas KR, Walters EE. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005b;62(6):617–27. https://doi.org/10.1001/archpsyc.62.6.617.

    Article  PubMed  PubMed Central  Google Scholar 

  127. Remes O, Brayne C, van der Linde R, Lafortune L. A systematic review of review on the prevalence of anxiety disorders in adult populations. Brain Behav. 2016;6(7):e00497. https://doi.org/10.1002/brb3.497.

    Article  PubMed  PubMed Central  Google Scholar 

  128. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005a;62(6):593–602. https://doi.org/10.1001/archpsyc.62.6.593.

    Article  PubMed  Google Scholar 

  129. Dahale AB, Menon JC, TSJ. A narrative review of the relationship between coronary heart disease. Iran J Psychiatry Behav Sci. 2017;11(3):e7722. https://doi.org/10.5812/ijpbs.7722.

  130. Kubzansky LD, Kawachi I, Spiro A 3rd, Weiss ST, Vokonas PS, Sparrow D. Is worrying bad for your heart? A prospective study of worry and coronary heart disease in the Normative Aging Study. Circulation. 1997;95(4):818–24.

    Article  CAS  PubMed  Google Scholar 

  131. Roest AM, Martens EJ, de Jonge P, Denollet J. Anxiety and risk of incident coronary heart disease: a meta-analysis. J Am Coll Cardiol. 2010;56(1):38–46. https://doi.org/10.1016/j.jacc.2010.03.034.

    Article  PubMed  Google Scholar 

  132. Santos IS, Bittencourt MS, Rocco PT, Pereira AC, Barreto SM, Brunoni AR, et al. Relation of anxiety and depressive symptoms to coronary artery calcium (from the ELSA-Brasil Baseline Data). Am J Cardiol. 2016;118(2):183–7.

    Article  CAS  PubMed  Google Scholar 

  133. Denollet J, Vaes J, Brutsaert DL. Inadequate response to treatment in coronary heart disease : adverse effects of type D personality and younger age on 5-year prognosis and quality of life. Circulation. 2000;102(6):630–5.

    Article  CAS  PubMed  Google Scholar 

  134. Benninghoven D, Kaduk A, Wiegand U, Specht T, Kunzendorf S, Jantschek G. Influence of anxiety on the course of heart disease after acute myocardial infarction–risk factor or protective function? Psychother Psychosom. 2006;75(1):56–61.

    Article  CAS  PubMed  Google Scholar 

  135. Larsen KK, Christensen B, Nielsen TJ, Vestergaard M. Post-myocardial infarction anxiety or depressive symptoms and risk of new cardiovascular events or death: a population-based longitudinal study. Psychosom Med. 2014;76(9):739–46. https://doi.org/10.1097/psy.0000000000000115.

    Article  PubMed  Google Scholar 

  136. Haines A, Cooper J, Meade TW. Psychological characteristics and fatal ischaemic heart disease. Heart. 2001;85(4):385–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  137. Herrmann C, Brand-Driehorst S, Buss U, Ruger U. Effects of anxiety and depression on 5-year mortality in 5,057 patients referred for exercise testing. J Psychosom Res. 2000;48(4–5):455–62.

    Article  CAS  PubMed  Google Scholar 

  138. Olafiranye O, Jean-Louis G, Magai C, Zizi F, Brown CD, Dweck M, Borer JS. Anxiety and cardiovascular symptoms: the modulating role of insomnia. Cardiology. 2010;115(2):114–9. https://doi.org/10.1159/000258078.

    Article  PubMed  CAS  Google Scholar 

  139. Garvin BJ, Moser DK, Riegel B, McKinley S, Doering L, An K. Effects of gender and preference for information and control on anxiety early after myocardial infarction. Nurs Res. 2003;52(6):386–92.

    Article  PubMed  Google Scholar 

  140. Kim KA, Moser DK, Garvin BJ, Riegel BJ, Doering LV, Jadack RA, et al. Differences between men and women in anxiety early after acute myocardial infarction. Am J Crit Care. 2000;9(4):245–53.

    PubMed  CAS  Google Scholar 

  141. Evangelista LS, Ter-Galstanyan A, Moughrabi S, Moser DK. Anxiety and depression in ethnic minorities with chronic heart failure. J Card Fail. 2009;15(7):572–9. https://doi.org/10.1016/j.cardfail.2009.03.005.

    Article  PubMed  PubMed Central  Google Scholar 

  142. World Health Organization. Depression fact sheet. 2017. www.who.int/mediacentre/factsheets/fs369/en/. Retrieved 12 July 2017.

  143. Davidson KW, Rieckmann N, Rapp MA. Definitions and distinctions among depressive syndromes and symptoms: implications for a better understanding of the depression–Cardiovascular Disease Association. Psychosom Med. 2005;67:S6–9. https://doi.org/10.1097/01.psy.0000162257.19266.fc.

    Article  PubMed  Google Scholar 

  144. Pratt LA, Brody DJ. Depression in the U.S. household population, 2009-2012. 2014. Retrieved from Washington, DC: https://www.cdc.gov/nchs/data/databriefs/db172.pdf.

  145. Bromberger JT, Harlow S, Avis N, Kravitz HM, Cordal A. Racial/ethnic differences in the prevalence of depressive symptoms among middle-aged women: the Study of Women’s Health Across the Nation (SWAN). Am J Public Health. 2004;94(8):1378–85. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/15284047

    Article  PubMed  PubMed Central  Google Scholar 

  146. Cavanagh A, Wilson CJ, Kavanagh DJ, Caputi P. Differences in the expression of symptoms in men versus women with depression: a systematic review and meta-analysis. Harv Rev Psychiatry. 2017;25(1):29–38. https://doi.org/10.1097/hrp.0000000000000128.

    Article  PubMed  Google Scholar 

  147. Lichtman JH, Froelicher ES, Blumenthal JA, Carney RM, Doering LV, Frasure-Smith N, et al. Depression as a risk factor for poor prognosis among patients with acute coronary syndrome: systematic review and recommendations: a scientific statement from the American Heart Association. Circulation. 2014;129(12):1350–69. https://doi.org/10.1161/cir.0000000000000019.

    Article  PubMed  Google Scholar 

  148. Towfighi A, Ovbiagele B, El Husseini N, Hackett ML, Jorge RE, Kissela BM, et al. Poststroke depression: a scientific statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2017;48(2):e30–43. https://doi.org/10.1161/str.0000000000000113.

    Article  PubMed  Google Scholar 

  149. Gan Y, Gong Y, Tong X, Sun H, Cong Y, Dong X, et al. Depression and the risk of coronary heart disease: a meta-analysis of prospective cohort studies. BMC Psychiatry. 2014;14:371. https://doi.org/10.1186/s12888-014-0371-z.

    Article  PubMed  PubMed Central  Google Scholar 

  150. Van der Kooy K, van Hout H, Marwijk H, Marten H, Stehouwer C, Beekman A. Depression and the risk for cardiovascular diseases: systematic review and meta analysis. Int J Geriatr Psychiatry. 2007;22(7):613–26. https://doi.org/10.1002/gps.1723.

    Article  PubMed  Google Scholar 

  151. van Melle JP, de Jonge P, Spijkerman TA, Tijssen JG, Ormel J, van Veldhuisen DJ, et al. Prognostic association of depression following myocardial infarction with mortality and cardiovascular events: a meta-analysis. Psychosom Med. 2004;66(6):814–22. https://doi.org/10.1097/01.psy.0000146294.82810.9c.

    Article  PubMed  Google Scholar 

  152. Low CA, Thurston RC, Matthews KA. Psychosocial factors in the development of heart disease in women: current research and future directions. Psychosom Med. 2010;72(9):842–54. https://doi.org/10.1097/PSY.0b013e3181f6934f.

    Article  PubMed  PubMed Central  Google Scholar 

  153. Handberg EM, Eastwood J-A, Eteiba W, Johnson BD, Krantz DS, Thompson DV, et al. Clinical implications of the Women’s Ischemia Syndrome Evaluation: inter-relationships between symptoms, psychosocial factors and cardiovascular outcomes. Womens Health. 2013;9(5):479–90. https://doi.org/10.2217/whe.13.50.

    Article  CAS  Google Scholar 

  154. Möller-Leimkühler AM. Higher comorbidity of depression and cardiovascular disease in women: A biopsychosocial perspective. World J Biol Psychiatry. 2010;11(8):922–33. https://doi.org/10.3109/15622975.2010.523481.

    Article  PubMed  Google Scholar 

  155. Frasure-Smith N, Lesperance F, Prince RH, Verrier P, Garber RA, Juneau M, et al. Randomised trial of home-based psychosocial nursing intervention for patients recovering from myocardial infarction. Lancet. 1997;350(9076):473–9. https://doi.org/10.1016/s0140-6736(97)02142-9.

    Article  PubMed  CAS  Google Scholar 

  156. Rollman BL, Belnap BH, LeMenager MS, Mazumdar S, Houck PR, Counihan PJ, et al. Telephone-delivered collaborative care for treating post-CABG depression. JAMA. 2009;302(19):2095. https://doi.org/10.1001/jama.2009.1670.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  157. Schneiderman N, Saab PG, Catellier DJ, Powell LH, DeBusk RF, Williams RB, et al. Psychosocial treatment within sex by ethnicity subgroups in the enhancing recovery in coronary heart disease clinical trial. Psychosom Med. 2004;66(4):475–83. https://doi.org/10.1097/01.psy.0000133217.96180.e8.

    Article  PubMed  Google Scholar 

  158. Carney RM, Freedland KE. Depression and coronary heart disease. Nat Rev Cardiol. 2016;14(3):145–55. https://doi.org/10.1038/nrcardio.2016.181.

    Article  PubMed  Google Scholar 

  159. Wulff K, Donato D, Lurie N. What is health resilience and how can we build it? Annu Rev Public Health. 2015;36:361–74. https://doi.org/10.1146/annurev-publhealth-031914-122829.

    Article  PubMed  Google Scholar 

  160. Gallo LC, Penedo FJ, Espinosa de los Monteros K, Arguelles W. Resiliency in the face of disadvantage: do Hispanic cultural characteristics protect health outcomes? J Pers. 2009;77(6):1707–46. https://doi.org/10.1111/j.1467-6494.2009.00598.x.

    Article  PubMed  Google Scholar 

  161. Sirtori CR, Calabresi L, Franceschini G, Baldassarre D, Amato M, Johansson J, et al. Cardiovascular status of carriers of the apolipoprotein A-I(Milano) mutant: the Limone sul Garda study. Circulation. 2001;103(15):1949–54.

    Article  CAS  PubMed  Google Scholar 

  162. Levine ME, Crimmins EM. A genetic network associated with stress resistance, longevity, and cancer in humans. J Gerontol A Biol Sci Med Sci. 2016;71(6):703–12. https://doi.org/10.1093/gerona/glv141.

    Article  PubMed  Google Scholar 

  163. Dunn EC, Solovieff N, Lowe SR, Gallagher PJ, Chaponis J, Rosand J, et al. Interaction between genetic variants and exposure to Hurricane Katrina on post-traumatic stress and post-traumatic growth: a prospective analysis of low income adults. J Affect Disord. 2014;152–154:243–9. https://doi.org/10.1016/j.jad.2013.09.018.

    Article  PubMed  Google Scholar 

  164. Zeng Y, Shen K. Resilience significantly contributes to exceptional longevity. Curr Gerontol Geriatr Res. 2010;2010:525693. https://doi.org/10.1155/2010/525693.

    Article  PubMed  PubMed Central  Google Scholar 

  165. Carver CS, Scheier MF. Dispositional optimism. Trends Cogn Sci. 2014;18(6):293–9. https://doi.org/10.1016/j.tics.2014.02.003.

    Article  PubMed  PubMed Central  Google Scholar 

  166. Carver CS, Scheier MF, Segerstrom SC. Optimism. Clin Psychol Rev. 2010;30(7):879–89. https://doi.org/10.1016/j.cpr.2010.01.006.

    Article  PubMed  PubMed Central  Google Scholar 

  167. Scheier MF, Carver CS. Optimism, coping, and health: assessment and implications of generalized outcome expectancies. Health Psychol. 1985;4(3):219–47.

    Article  CAS  PubMed  Google Scholar 

  168. Giltay EJ, Geleijnse JM, Zitman FG, Hoekstra T, Schouten EG. Dispositional optimism and all-cause and cardiovascular mortality in a prospective cohort of elderly dutch men and women. Arch Gen Psychiatry. 2004;61(11):1126–35. https://doi.org/10.1001/archpsyc.61.11.1126.

    Article  PubMed  Google Scholar 

  169. Weiss-Faratci N, Lurie I, Benyamini Y, Cohen G, Goldbourt U, Gerber Y. Optimism during hospitalization for first acute myocardial infarction and long-term mortality risk: a prospective cohort study. Mayo Clin Proc. 2017;92(1):49–56. https://doi.org/10.1016/j.mayocp.2016.09.014.

    Article  PubMed  Google Scholar 

  170. Roy B, Diez-Roux AV, Seeman T, Ranjit N, Shea S, Cushman M. Association of optimism and pessimism with inflammation and hemostasis in the Multi-Ethnic Study of Atherosclerosis (MESA). Psychosom Med. 2010;72(2):134–40. https://doi.org/10.1097/PSY.0b013e3181cb981b.

    Article  PubMed  PubMed Central  Google Scholar 

  171. Pankalainen M, Kerola T, Kampman O, Kauppi M, Hintikka J. Pessimism and risk of death from coronary heart disease among middle-aged and older Finns: an eleven-year follow-up study. BMC Public Health. 2016;16(1):1124. https://doi.org/10.1186/s12889-016-3764-8.

    Article  PubMed  PubMed Central  Google Scholar 

  172. Pankalainen MT, Kerola TV, Hintikka JJ. Pessimism and the risk for coronary heart disease among middle-aged and older Finnish men and women: a ten-year follow-up study. BMC Cardiovasc Disord. 2015;15:113. https://doi.org/10.1186/s12872-015-0097-y.

    Article  PubMed  PubMed Central  Google Scholar 

  173. Serlachius A, Pulkki-Raback L, Elovainio M, Hintsanen M, Mikkila V, Laitinen TT, et al. Is dispositional optimism or dispositional pessimism predictive of ideal cardiovascular health? The Young Finns Study. Psychol Health. 2015;30(10):1221–39. https://doi.org/10.1080/08870446.2015.1041394.

    Article  PubMed  Google Scholar 

  174. Taylor SE, Seeman TE. Psychosocial resources and the SES-health relationship. Ann N Y Acad Sci. 1999;896:210–25.

    Article  CAS  PubMed  Google Scholar 

  175. Martire LM, Franks MM. The role of social networks in adult health: introduction to the special issue. Health Psychol. 2014;33(6):501–4. https://doi.org/10.1037/hea0000103.

    Article  PubMed  PubMed Central  Google Scholar 

  176. Murayama H, Fujiwara Y, Kawachi I. Social capital and health: a review of prospective multilevel studies. J Epidemiol. 2012;22(3):179–87.

    Article  PubMed  PubMed Central  Google Scholar 

  177. Ruiz JM, Hutchinson JG, Terrill A. For better and worse: social influences on coronary heart disease. Soc Personal Psychol Compass. 2008;2:1400–14.

    Article  Google Scholar 

  178. Holt-Lunstad J, Smith TB, Layton JB. Social relationships and mortality risk: a meta-analytic review. PLoS Med. 2010;7(7):e1000316. https://doi.org/10.1371/journal.pmed.1000316.

    Article  PubMed  PubMed Central  Google Scholar 

  179. Kiecolt-Glaser JK, Newton TL. Marriage and health: his and hers. Psychol Bull. 2001;127(4):472–503.

    Article  CAS  PubMed  Google Scholar 

  180. Reevy GM, Maslach C. Use of social support: gender and personality differences. Sex Roles. 2001;44(7):437–59. https://doi.org/10.1023/a:1011930128829.

    Article  Google Scholar 

  181. Sarason IG, Sarason BR. Social support: theory, research, and interventions. Dordrecht: Martinus Nijhoff; 1985.

    Book  Google Scholar 

  182. Christenfeld N, Gerin W. Social support and cardiovascular reactivity. Biomed Pharmacother. 2000;54(5):251–7. https://doi.org/10.1016/s0753-3322(00)80067-0.

    Article  PubMed  CAS  Google Scholar 

  183. Glynn LM, Christenfeld N, Gerin W. Gender, social support, and cardiovascular responses to stress. Psychosom Med. 1999;61(2):234–42.

    Article  CAS  PubMed  Google Scholar 

  184. Hughes BM. Social support in ordinary life and laboratory measures of cardiovascular reactivity: gender differences in habituation-sensitization. Ann Behav Med. 2007;34(2):166–76. https://doi.org/10.1080/08836610701566860.

    Article  PubMed  Google Scholar 

  185. Uchino BN, Cacioppo JT, Kiecolt-Glaser JK. The relationship between social support and physiological processes: a review with emphasis on underlying mechanisms and implications for health. Psychol Bull. 1996;119(3):488–531.

    Article  CAS  PubMed  Google Scholar 

  186. Bajaj A, John-Henderson NA, Cundiff JM, Marsland AL, Manuck SB, Kamarck TW. Daily social interactions, close relationships, and systemic inflammation in two samples: healthy middle-aged and older adults. Brain Behav Immun. 2016;58:152–64. https://doi.org/10.1016/j.bbi.2016.06.004.

    Article  PubMed  PubMed Central  Google Scholar 

  187. Elliot AJ, Heffner KL, Mooney CJ, Moynihan JA, Chapman BP. Social relationships and inflammatory markers in the MIDUS cohort. J Aging Health. 2017. https://doi.org/10.1177/0898264317698551.

  188. Frasure-Smith N, Lesperance F, Gravel G, Masson A, Juneau M, Talajic M, Bourassa MG. Social support, depression, and mortality during the first year after myocardial infarction. Circulation. 2000;101(16):1919–24.

    Article  CAS  PubMed  Google Scholar 

  189. Janicki DL, Kamarck TW, Shiffman S, Sutton-Tyrrell K, Gwaltney CJ. Frequency of spousal interaction and 3-year progression of carotid artery intima medial thickness: the Pittsburgh Healthy Heart Project. Psychosom Med. 2005;67(6):889–96. https://doi.org/10.1097/01.psy.0000188476.87869.88.

    Article  PubMed  Google Scholar 

  190. Joseph NT, Kamarck TW, Muldoon MF, Manuck SB. Daily marital interaction quality and carotid artery intima-medial thickness in healthy middle-aged adults. Psychosom Med. 2014;76(5):347–54. https://doi.org/10.1097/psy.0000000000000071.

    Article  PubMed  PubMed Central  Google Scholar 

  191. Ruiz JM, Campos B, Garcia JJ. Introduction to the special issue Latino physical health: disparities, paradoxes, and future directions. J Lat Psychol. 2016a;4:61–6.

    Article  Google Scholar 

  192. Ruiz JM, Steffen P. Latino health. In: Friedman HS, editor. The Oxford handbook of health psychology. New York: Oxford University Press; 2011. p. 805–23.

    Google Scholar 

  193. Mookadam F, Arthur HM. Social support and its relationship to morbidity and mortality after acute myocardial infarction: systematic overview. Arch Intern Med. 2004;164(14):1514–8. https://doi.org/10.1001/archinte.164.14.1514.

    Article  PubMed  Google Scholar 

  194. Frasure-Smith N, Prince R. The ischemic heart disease life stress monitoring program: impact on mortality. Psychosom Med. 1985;47(5):431–45.

    Article  CAS  PubMed  Google Scholar 

  195. Frasure-Smith N, Prince R. Long-term follow-up of the Ischemic Heart Disease Life Stress Monitoring Program. Psychosom Med. 1989;51(5):485–513.

    Article  CAS  PubMed  Google Scholar 

  196. Christensen AJ. Patient-by-treatment context interaction in chronic disease: a conceptual framework for the study of patient adherence. Psychosom Med. 2000;62(3):435–43.

    Article  CAS  PubMed  Google Scholar 

  197. Christensen AJ, Smith TW, Turner CW, Holman JM Jr, Gregory MC. Type of hemodialysis and preference for behavioral involvement: interactive effects on adherence in end-stage renal disease. Health Psychol. 1990;9(2):225–36.

    Article  CAS  PubMed  Google Scholar 

  198. Adler AJ, Martin N, Mariani J, Tajer CD, Owolabi OO, Free C, et al. Mobile phone text messaging to improve medication adherence in secondary prevention of cardiovascular disease. Cochrane Database Syst Rev. 2017;4:Cd011851. https://doi.org/10.1002/14651858.CD011851.pub2.

    Article  PubMed  Google Scholar 

  199. Pfaeffli Dale L, Whittaker R, Jiang Y, Stewart R, Rolleston A, Maddison R. Text message and internet support for coronary heart disease self-management: results from the Text4Heart Randomized Controlled Trial. J Med Internet Res. 2015;17(10):e237. https://doi.org/10.2196/jmir.4944.

    Article  PubMed  PubMed Central  Google Scholar 

  200. Center, P. R. 2017. Record shares of Americans now own smartphones, have home broadband. http://www.pewresearch.org/fact-tank/2017/01/12/evolution-of-technology/. Retrieved 14 Aug 2017.

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Ruiz, J.M., Doyle, C.Y., Flores, M.A., Price, S.N. (2018). Gender and Racial/Ethnic Differences in CVD Risk: Behavioral and Psychosocial Risk and Resilience. In: Mehta, J., McSweeney, J. (eds) Gender Differences in the Pathogenesis and Management of Heart Disease. Springer, Cham. https://doi.org/10.1007/978-3-319-71135-5_10

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