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. Author manuscript; available in PMC: 2019 Aug 8.
Published in final edited form as: Int J Travel Med Glob Health. 2014 Summer;2(3):107–113.

Race and Ethnic Differences in the Associations between Cardiovascular Diseases, Anxiety, and Depression in the United States

Shervin Assari 1,2,3,*, Maryam Moghani Lankarani 2,3
PMCID: PMC6687331  NIHMSID: NIHMS1041820  PMID: 31396543

Abstract

Introduction:

Although cardiovascular diseases and psychiatric disorders are linked, it is not yet known if such links are independent of comorbid medical diseases and if these associations depend on race and ethnicity. This study aimed to determine if the associations between cardiovascular diseases with general anxiety disorder (GAD) and major depressive episode (MDE) are independent of comorbid medical diseases and if these links differ among African Americans, Caribbean Blacks, and Non-Hispanic Whites.

Methods:

This cross-sectional study enrolled African American, Caribbean Black, and Non-Hispanic White adults who had participated in the National Survey of American Life (NSAL), 2001 – 2003. Data on socioeconomics (age, sex, and education level) were collected. Self-reported physician diagnosed cardiovascular diseases (heart disease, atherosclerosis, hypertension, and stroke) and chronic medical conditions (peptic ulcer, cancer, diabetes, liver disease, kidney disease, asthma, other chronic respiratory diseases, sickle cell anemia, and glaucoma) were measured. The 12month GAD and MDE were measured using the Composite International Diagnostic Interview (CIDI). Logistic regressions were fitted to data to determine if the associations between cardiovascular diseases and 12-month GAD and 12-month MDE are independent of socio-economic status and comorbid chronic medical diseases across race and ethnic groups.

Results:

Above and beyond other medical conditions, heart disease and atherosclerosis were associated with 12-month GAD among Caribbean Blacks, but not African Americans or non-Hispanic Whites. Hypertension was associated with 12-month MDE among African Americans, and heart disease was associated with 12-month MDE among Caribbean Blacks. None of the cardiovascular diseases were associated with 12-month MDE among non-Hispanic Whites, while all the other medical conditions were controlled.

Conclusion:

Our study showed race and ethnicity may be associated with specific patterns of comorbidity between cardiovascular diseases and 12month MDE and GAD. By other words, the link between psychiatric disorders and cardiovascular diseases may depend on race and ethnicity. More research is needed to explore the behavioral and mental health profile of individuals with heart disease based on race and ethnicity. Race and ethnicity should inform mental health evaluation of patients with cardiovascular diseases.

Keywords: Race, Ethnicity, Anxiety, Depression, Cardiovascular Disease, Chronic Medical Conditions

1. Introduction

Cardiovascular diseases (CVD) -composed of coronary artery disease, hypertension, and stroke [1]- are the leading cause of death in the United States [2], claiming 600,000 lives each year [3]. CVD constitutes 17% of overall national expenditures on health [46]. The medical costs of CVD have grown at an average annual rate of 6%, explaining 15% of the increase in medical spending [7].

Although there is an established link between cardiovascular diseases and depression [8], most studies on the association between cardiovascular diseases and depression have not controlled for the effect of other chronic medical conditions [912]. A study on about 2,200 adults with seven chronic medical conditions such as heart disease, renal disease, liver disease, and rheumatoid conditions showed that coronary artery disease was associated with higher depression symptoms, compared to other chronic medical conditions. In that study, heart disease was not associated with higher anxiety symptoms compared to other chronic medical conditions. The study suggested that among primary care patients, those with heart disease have a unique need for screening, diagnosis, and treatment of depression, compared to patients with other chronic medical conditions [13]. Analysis of data of over 15,000 patients with different medical conditions has also suggested that cardiovascular conditions are associated with impairment in functioning more than urogenital conditions, hearing impairments, and dermatologic conditions [14].

Very few studies are available on the moderating effect of race and ethnicity on the associations between chronic physical conditions and psychiatric disorders [15, 16]. The Available research has mostly studied the main effect of race or ethnicity instead. Among patients with a chronic medical disease, presence of comorbid psychiatric disorder(s) is associated with worse outcomes [17]. Researchers attribute this link to the effect of poor mental health on self-care [18] and disease management [19]. Comorbid psychiatric disorders affect perception of symptoms [18], quality of life [20], medication adherence [21], service utilization and mortality [22], as well.

The current study was conducted to compare African Americans, Caribbean Blacks, and non-Hispanic Whites for the associations between cardiovascular diseases, medical comorbidities and 12-month general anxiety disorder (GAD) and 12-month major depressive episode (MDE).

2. Methods

This cross sectional study used data from the National Survey of American Life (NSAL), 2001–2003. The NSAL was a part of the Collaborative Psychiatric Epidemiology Surveys (CPES), funded by the National Institute of Mental Health. The Institute Review Board of the University of Michigan approved the study. All the participants provided informed consent.

2.1. Participants

The NSAL used a national household probability sample of Black adults (18 years and older). Although African Americans were residents of either large cities or other urban or rural areas, all Caribbean Blacks were sampled from large cities only. Features of sampling design, procedures, and interviewer training and supervision have been described elsewhere [2325]. African-American individuals were identified as Blacks who did not identify any ancestral tie in the Caribbean. The Afro-Caribbean population was composed of Blacks who self-identified as being of the Caribbean ancestry. The White population included all the Caucasian adults except people of self-reported Hispanic ancestry [26]. The NSAL White sample is designed to be optimal for comparative analyses. Thus, the NSAL White sample is not optimal for descriptive analysis of the U.S. White adult population [26].

2.2. Inclusion and Exclusion Criteria

The NSAL survey populations included all US adults in the three target groups who were age 18 and older and resided in households located in the contiguous 48 states. The NSAL survey populations were restricted to adults who were able to complete the interview in English. Institutionalized individuals including those in prisons, jails, nursing homes, and long-term medical or dependent care settings were excluded. Although military personnel living in civilian housing were eligible for the study, residents of housing located on a military base or military reservation were excluded from this study [26].

2.3. Sampling

The NSAL has used multi-stage sampling. The NSAL ‘core’ samples included a national area probability sample of households and a special supplemental sample of households in areas of high Caribbean Black residential density. The NSAL Core national sample was designed to be optimal for a national study of the African-American survey population. The design of the NSAL Core sample closely resembled the National Survey of Black Americans, 1979–80. The NSAL supplement design served solely to enroll a large sample size from the Caribbean Blacks. The NSAL national area probability sample was selected independently of other CPES samples [26].

2.4. Interview

Data was collected through face to face computer-assisted (86%) or telephone (14%) interviews. Interviews typically lasted an average of 140 minutes. All interviews were conducted in English. The final response rate was 72.3% overall. The response rate was 70.7% for African Americans, 77.7% for Caribbean Blacks (n=695), and 69.7% for Whites (n=606).

2.5. Measures

Each participant reported presence of fourteen medical conditions (i.e. arthritis / rheumatism, peptic ulcers, cancer, hypertension, diabetes, chronic liver disease, chronic kidney disease, stroke, asthma, other chronic lung diseases, atherosclerosis, sickle cell disease, heart disease, and glaucoma). Socio-demographic information collected for this study included age, sex, and educational level.

2.6. Outcomes

Twelve-month GAD and MDE were operationalized using a modified version of the World Mental Health Composite International Diagnostic Interview (CIDI), a fully structured diagnostic interview. The CIDI evaluates a wide range of DSM-IV mental disorders, and has been used reliably on the World Mental Health project [27].

2.7. Statistical Analysis

To adjust for weights based on the complex sampling design and non-response, we used Stata version 13 for data analysis. The NSAL has used a multistage sample design involving clustering and stratification, which requires statistical techniques to provide nationally representative rates. Sub-population analyses for all survey regressions were applied. Race/ethnicity-specific logistic regressions were fitted to the data, while considering 12-month GAD and MDE as outcomes (6 regression models), self-reported physician diagnosed cardiovascular diseases (heart disease, atherosclerosis, hypertension, and stroke) as predictors, and medical comorbidities and socio-economic status as controls. A few conditions were automatically dropped from the model because of the low sample of individuals with those conditions. Adjusted Odds Ratios (OR) and 95% Confidence Intervals (CI) were reported. P-values less than 0.05 were considered statistically significant.

3. Results

Out of all participants, 985 individuals did not have any chronic conditions, 948 had one chronic condition, 651 had two conditions, 413 had three conditions, 294 had four conditions, 172 had five conditions, and 197 had six or more chronic conditions. Socio-demographics of the participants of each race/ethnic group are presented in Table 1.

Table 1.

Demographic data among Non-Hispanic Whites, African Americans and Caribbean Blacks

African American Caribbean Black White Total
Characteristics n (%) n (%) n (%) n (%)
Sex
 Male 1,271 (44.03) 643 (50.87) 372 (47.26) 2,286 (45.87)
 Female 2,299 (55.97) 978 (49.13) 519 (52.74) 3,796 (54.13)
Marital Status
 Married 960 (32.91) 559 (37.56) 383 (47.36) 1902 (40.25)
 Partner 260 (8.74) 131 (12.58) 44 (6.59) 435 (7.81)
 Separated 286 (7.16) 128 (5.37) 37 (3.11) 451 (5.08)
 Divorced 524 (11.75) 178 (9.29) 147 (13.06) 849 (12.31)
 Widowed 353 (7.90) 78 (4.29) 103 (7.83) 534 (7.74)
 Never Married 1,170 (31.55) 542 (30.92) 173 (22.05) 1,885 (26.81)
Region
 Northeast 411 (15.69) 1135 (55.69) 107 (22.67) 1,653 (20.56)
 Midwest 595 (18.81) 12 (4.05) 83 (7.96) 690 (12.91)
 South 2,330 (56.24) 456 (29.11) 609 (54.60) 3,395 (54.48)
 West 234 (9.25) 18 (11.14) 92 (14.76) 344 (12.06)
Mean (SD1) Mean (SD) Mean (SD) Mean (SD)
Education 12.43 (2.23) 12.93 (1.00) 13.32 (5.00) 12.89 (2.65)
Age (Years) 42.33 (14.50) 40.28 (5.78) 44.98 (31.11) 43.57 (16.61)
Income ($ US) 36,846 (33,236) 47,017 (15,242) 47,397 (75,266) 42,455 (39,594)
*

Weights have been considered.

SD= standard deviation

3.1. 12-Month GAD

Heart disease (OR=4.926), and atherosclerosis (OR=8.621) were associated with 12-month GAD among Caribbean Blacks, but not among African Americans or non-Hispanic Whites. Hypertension was associated with 12-month MDE among African Americans and heart disease was associated with 12-month MDE among Caribbean Blacks. None of the cardiovascular diseases were associated with 12-month MDE among non-Hispanic Whites. Among Caribbean Blacks, heart disease (OR=4.926) was associated with higher odds of 12-month GAD, while hypertension (OR=0.138) was associated with lower odds of 12-month GAD. Among non-Hispanic Whites, heart diseases were not associated with higher odds of 12-month GAD (Table 2).

Table 2.

Association between 12-month major depression episode and chronic somatic conditions among African Americans and Caribbean Blacks and Non-Hispanic Whites

OR 95% CI SE t P
Caribbean Blacks
 Heart Disease 18.174 4.509 73.247 12.246 4.3 <0.001
 Hypertension 1.478 0.839 2.601 0.404 1.4 0.167
 Stroke 0.1 0.003 3.123 0.167 −1.4 0.18
 Atherosclerosis 1.71 0.154 19.01 1.991 0.5 0.649
African Americans
 Heart Disease 1.584 0.8 3 0.495 1.47 0.2
 Hypertension 2.041 1.2 3.3 0.497 2.93 <0.001
 Stroke 0.822 0.3 2.1 0.373 −0.43 0.7
 Atherosclerosis 1.575 0.8 2.9 0.486 1.47 0.2
Non-Hispanic Whites
 Heart Disease - - - - - -
 Hypertension 1.38 0.625 3.045 0.512 0.87 0.4
 Stroke 0.076 0.002 2.534 0.125 −1.57 0.138
 Atherosclerosis 3.55 0.618 20.401 2.913 1.54 0.143

The effects of age, gender, education, Peptic Ulcer, Cancer, Diabetes, Liver Disease, Kidney Disease, Asthma, Other Chronic Respiratory Diseases, Sickle Cell Anemia, and Glaucoma are controlled.

OR= Adjusted Odds Ratio

95% CI= 95% Confidence Interval SE = Standard Error

3.2. 12-Month MDE

Among African Americans, hypertension (OR=2.041) was associated with higher likelihood of 12-month MDE. Among Caribbean Blacks, heart disease (OR=18.174) was associated with higher likelihood of 12-month MDE. Heart diseases were not significantly associated with 12-month MDE among non-Hispanic Whites (Table 3).

Table 3.

Association between 12-month general anxiety disorder and chronic somatic conditions among African Americans and Caribbean Blacks and Non-Hispanic Whites

OR 95% CI SE t P
African Americans
 Heart Disease 1.088 0.5 2.6 0.459 0.2 0.8
 Hypertension 1.366 0.8 2.5 0.401 1.06 0.3
 Stroke 1.747 0.6 5.5 0.993 0.98 0.3
 Atherosclerosis 2.112 0.9 5 0.892 1.77 0.1
Caribbean Blacks
 Heart Disease 4.926 2.454 9.889 1.66 4.7 <0.001
 Atherosclerosis 8.621 1.454 51.135 7.419 2.5 0.02
 Hypertension 0.138 0.023 0.831 0.12 -2.3 0.032
 Stroke 3.232 0.277 37.687 3.838 1 0.333
Non-Hispanic Whites
 Hypertension 1.396 0.665 2.932 0.486 0.96 0.353
 Stroke 0.664 0.09 4.87 0.621 -0.44 0.667
 Atherosclerosis 1.761 0.302 10.268 1.457 0.68 0.504
 Heart Disease 1.175 0.302 4.578 0.75 0.25 0.804

The effects of age, gender, education, Peptic Ulcer, Cancer, Diabetes, Liver Disease, Kidney Disease, Asthma, Other Chronic Respiratory Diseases, Sickle Cell Anemia, and Glaucoma are controlled.

OR= Adjusted Odds Ratio

95% CI= 95% Confidence Interval

SE = Standard Error

4. Discussion

In the current study, the associations between cardiovascular diseases and 12-month MDE and GAD were different between African Americans, Caribbean Blacks, and non-Hispanic Whites. Atherosclerosis and heart disease were associated with 12-month GAD among Caribbean Blacks, but not African Americans or non-Hispanic Whites. Hypertension was associated with 12-month MDE among African Americans, and heart disease was associated with 12-month MDE among Caribbean Blacks. None of the cardiovascular diseases were associated with 12-month MDE among non-Hispanic Whites.

In one study, being labeled as hypertensive was associated with high depressive symptoms among Blacks but not Whites [28]. Race and ethnic differences in the effects of “labeling” may bring new insights to the understanding of race and ethnic variations in the associations between chronic medical diseases and mental health. It is believed that the psychological effect of labeling may be independent of the effect of disease [28]. Even for the conditions that are generally asymptomatic, awareness of the presence of a disease may result in functional limitation [29]. Based on the theory of illness cognition, individuals’ response to awareness of the presence of the disease may shape the effect of an illness [30]. Race and ethnicity may also influence adaptation of sick roles following being diagnosed with a chronic medical condition [31].

Previous studies have reported associations between anxiety, depression, and coronary artery disease [32, 33]. Roest and colleagues performed a meta-analysis to determine the effect of anxiety on the incidence of coronary heart disease among initially healthy people. They reviewed twenty studies that comprised about 250,000 persons with a mean follow-up of 11.2 years. Results suggested that people with high levels of anxiety have a higher risk of coronary heart disease (hazard ratio = 1.26), independent of demographic variables, biological risk factors, and even health behaviors [34]. We could not find an association between heart diseases and MDE among Whites. Although most previous studies have shown higher rates of anxiety and depression among patients with heart disease [35, 36], most of these results come from bivariate analyses, which do not account for other medical conditions.

A longitudinal study showed a statistically significant interaction between the effect of race and heart failure on level of disability; that means that the effects of heart failure on disability might be larger for Blacks than for Whites [37]. The authors attributed their results to the Black-White differences in time to diagnosis and treatment of medical diseases [3840]. This is in support of the hypothesis that suggests that due to exposure to more stressors, a particular chronic disease might be more disabling among Blacks [41]. There are a few studies suggesting that the association between depression and heart disease may be heterogeneous [10,42]. A prospective cohort of 136,293 community-dwelling postmenopausal women failed to show a link between new antidepressant use and increased incidence of cardiovascular disease [42]. As a result, there is a need for studying variables that may moderate this link. Some researchers believe it is still premature to describe depression as a cause of heart disease [43] and that more research is needed before drawing a causal link between depression and heart disease [44].

There are a few studies suggesting that risk of depression among patients with heart disease may depend on race and ethnicity. In one study, although 48% of patients with heart disease were scored as having high depressive symptoms, Whites were more likely to be depressed than African Americans [45]. Another study reported that Blacks were most likely to meet criteria for comorbid cardiovascular disease and depression. The disease burden of depression was also highest among Black respondents [46].

As depression increases risk of morbidity and mortality associated with cardiovascular diseases [4752], our findings may have clinical and public health implications. Depression has been consistently shown to influence outcomes of cardiovascular diseases [5356]. Several studies also suggest an increased risk of cardiovascular disease in the general population associated with depression or high depressive symptoms [912].

Race and ethnicity influence individuals coping with stressors, including chronic medical conditions. Based on the transactional model developed by Lazarus & Folkman (1984), different abilities to cope with medical conditions may result in variation in mental health consequences of stressors among populations and individuals [57, 58]. In addition, race and ethnicity are closely linked to social class and social power in the United States. In the presence of cardiovascular disease, people of different race and ethnicities may have different access to resources (e.g., access to quality health care, higher likelihood to utilize health care services, etc.) that are needed for adjustment with such a medical disease.

Race and ethnicity may influence our primary and secondary appraisals. These factors may also influence coping strategies (i.e. problem-focused or emotion-focused) following exposure to stress due to suffering from a chronic disease [57, 58]. These factors also influence availability of emotional and tangible social support that is needed to live with a medical illness [59].

Beliefs associated with illness (illness beliefs) may be another factor in explaining race and ethnic differences in psychological effects of chronic medical conditions. Compared to Whites, Blacks have reported higher concern about having hypertension, and more frequently believe that hypertension is a serious health risk [60]. At the same time, compared to Whites, Blacks less frequently believe that lifestyle modification lowers blood pressure [61]. Greater perceived seriousness and lower perceived control may lead to higher vulnerability of Blacks to negative mental health consequences of being diagnosed as having a chronic medical disease [62]. Our study may contribute to better understanding of a complex paradox in health disparities between Blacks and Whites. Although in comparison to Whites, Blacks have higher number of chronic medical conditions [6365], they are less frequently diagnosed as having mood and anxiety disorders [66]. Jackson et al, believe that there are contradictory Black-White disparities in physical and mental health that question the presumed associations between stressful conditions and poor mental health [67]. As our findings suggest, there are racial and ethnic differences in the links between chronic conditions and mental health. This knowledge is hoped to help us better understand the racial and ethnic disparities in physical and mental health [6870].

The current study has implications for research and practice. Results may be useful to health care providers who care for patients with cardiovascular diseases. Based on our study, screening programs for recognition of anxiety and depression disorders among patients with medical conditions may benefit from considering race and ethnicity of the target patient. We argue that physicians need to account for race and ethnicity when their concern is the link between cardiovascular diseases, chronic conditions, and psychiatric disorders [71].

Unfortunately, little information exists on how disparities in physical health contribute to disparities in mental health across ethnic and racial groups. Future research should test if race and ethnic differences in links between psychiatric disorders shape disparities in outcomes of cardiovascular disease across groups.

Our study had a few limitations. Cardiovascular diseases and other chronic conditions were measured using self-report of a physician diagnosis of the conditions. Race and ethnicity may influence validity of self-reported medical conditions [72]. Even if validity of self-reported chronic conditions is similar across race and ethnic groups, [73] Whites may be more aware of their health problems, as they have higher access to the health care, and more frequently use care. The sample size was different between groups; thus our analysis did not have similar statistical power across race and ethnic groups. The study was also limited in data on medications, and interventions for cardiovascular and also other chronic medical disorders. It has been suggested that CIDI may over diagnose depression among Caribbean Blacks [66, 74]. As this study has a cross sectional design, causative inference was not possible. As most of the literature, we conceptualized anxiety and depression as consequences of cardiovascular diseases and other chronic diseases [7579]. For the cardiovascular disease, however, anxiety and depression may also be possible causes of chronic medical illnesses. [3435, 80] Race and ethnic groups may influence comorbidity between cardiovascular disease and mental illness [8184]. Race and ethnicity, gender, and country are contextual factors that shape the effects of risk and protective factors on physical and mental health [8592].

5. Conclusion

Particular comorbidities may need specific attention among ethnic and racial groups. Clinicians who provide care for cardiovascular disease, anxiety, or depression may benefit from knowing the race/ethnic specific patterns of associations between these conditions.

Acknowledgments

The National Survey of American Life (NSAL) is supported by the National Institute of Mental Health (NIMH; U01MH57716) with supplemental support from the Office of Behavioral and Social Science Research (OBSSR) and the National Institute on Drug Abuse (NIDA) at the National Institutes of Health (NIH) and the University of Michigan. Data was downloaded from The Interuniversity Consortium for Political and Social Research (ICPSR), Institute for Social Research (ISR), University of Michigan. The authors also thank Baharak Yeganeh with the paper.

Funding/Support

Publication of this manuscript was possible with the Fellowship fund awarded by the Center for Research on Ethnicity, Culture and Health, School of Public Health, and Department of Psychiatry, School of Medicine, University of Michigan to the author, Shervin Assari.

Footnotes

Financial Disclosure

The authors declared no financial disclosure.

References

  • 1.Heidenreich PA, Trogdon JG, Khavjou OA, Butler J, Dracup K, Ezekowitz MD, et al. , Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123(8):933–44. [DOI] [PubMed] [Google Scholar]
  • 2.Steinwachs DM, Collins-Nakai RL, Cohn LH, Garson A Jr, Wolk MJ. The future of cardiology: utilization and costs of care. J Am Coll Cardiol. 2000;35(suppl B):91B–8. [PubMed] [Google Scholar]
  • 3.Kochanek KD, Xu JQ, Murphy SL, Miniño AM, Kung HC. Deaths: final data for 2009. Natl Vital Stat Rep. 2011;60(3):1–116. [PubMed] [Google Scholar]
  • 4.Trogdon JG, Finkelstein EA, Nwaise IA, Tangka FK, Orenstein D. The economic burden of chronic cardiovascular disease for major insurers. Health Promot Pract. 2007;8:234–42. [DOI] [PubMed] [Google Scholar]
  • 5.Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, De Simone G, et al. Heart disease and stroke statistics—2010 update: a report from the American Heart Association [published correction appears in Circulation. 2010;121:e260]. Circulation. 2010; 121:e46–e215. [DOI] [PubMed] [Google Scholar]
  • 6.Cohen JW, Krauss NA. Spending and service use among people with the fifteen most costly medical conditions, 1997. Health Aff (Millwood). 2003;22:129–38. [DOI] [PubMed] [Google Scholar]
  • 7.Roehrig C, Miller G, Lake C, Bryant J. National health spending by medical condition, 1996–2005. Health Aff (Millwood). 2009;28:w35867. [DOI] [PubMed] [Google Scholar]
  • 8.Frasure-Smith N, Lespérance F. Recent evidence linking coronary heart disease and depression. Can J Psychiatry. 2006;51:730–7. [DOI] [PubMed] [Google Scholar]
  • 9.Suls J, Bunde J. Anger, anxiety, and depression as risk factors for cardiovascular disease: the problems and implications of overlapping affective dispositions. Psychol Bull. 2005. March;131(2):260–300. [DOI] [PubMed] [Google Scholar]
  • 10.May HT, Horne BD, Carlquist JF, Sheng X, Joy E, Catinella AP. Depression after coronary artery disease is associated with heart failure. J Am Coll Cardiol. 2009;53:1440–7. [DOI] [PubMed] [Google Scholar]
  • 11.Whang W, Kubzansky LD, Kawachi I, et al. Depression and risk of sudden cardiac death and coronary heart disease in women: results from the Nurses’ Health Study. J Am Coll Cardiol. 2009;53:950–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Krantz DS, Whittaker KS, Francis JL, Krantz DS, Whittaker KS, Francis JL, et al. Psychotropic medication use and risk of adverse cardiovascular events in women with suspected coronary artery disease: outcomes from the Women’s Ischemia Syndrome Evaluation (WISE) study. Heart. 2009;95:1901–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bayat N, Alishiri GH, Salimzadeh A, Izadi M, Kazemi Saleh D, Moghani Lankarani M, Assari S Symptoms of anxiety and depression: A comparison among patients with different chronic conditions J Res Med Sci. 2011;16(11):1441–7 [PMC free article] [PubMed] [Google Scholar]
  • 14.Sprangers MA, de Regt EB, Andries F, van Agt HM, Bijl RV, de Boer JB, Foets M, Hoeymans N, Jacobs AE, Kempen GI, Miedema HS, Tijhuis MA, de Haes HC. Which chronic conditions are associated with better or poorer quality of life? J Clin Epidemiol. 2000. September;53(9):895907. [DOI] [PubMed] [Google Scholar]
  • 15.Fisher L, Laurencin G, Chesla CA, Skaff MM, Mullan JT, Gardiner PS, Chun KM. Depressive affect among four with type 2 diabetes. Diabetes Spectrum. 2004;17(4):215–24. [Google Scholar]
  • 16.Ferraro KF, Farmer M. Double Jeopardy in Health Hypothesis for African Americans: Analysis and Critique. J Health Social Behavior. 1996;51B(6):S319–28 [PubMed] [Google Scholar]
  • 17.Haarasilta L, Marttunen M, Kaprio J, Aro H. Major depressive episode and health care use among adolescents and young adults. Soc Psychiatry Psychiatr Epidemiol. 2003;38(7):366–8. [DOI] [PubMed] [Google Scholar]
  • 18.Levenson JL. Psychosocial interventions in chronic medical illness. An overview of outcome research. Gen Hosp Psychiatry. 1992; 14(6 Suppl):43S–9S. [DOI] [PubMed] [Google Scholar]
  • 19.Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B. Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet. 2007;370:851–8. [DOI] [PubMed] [Google Scholar]
  • 20.Gladis MM, Gosch EA, Dishuk NM, Crits-Christoph P. Quality of life: expanding the scope of clinical significance. J Consult Clin Psychol. 1999;67(3):320–31. [DOI] [PubMed] [Google Scholar]
  • 21.DiMatteo MR, Lepper HS, Croghan TW. Depression is a risk factor for noncompliance with medical treatment: meta-analysis of the effects of anxiety and depression on patient adherence. Arch Intern Med. 2000; 160(14):2101–7. [DOI] [PubMed] [Google Scholar]
  • 22.Wells KB, Stewart A, Hays RD, Burnam MA, Rogers W, Daniels M, et al. The functioning and well-being of depressed patients. Results from the Medical Outcomes Study. JAMA. 1989;262(7):914–9. [PubMed] [Google Scholar]
  • 23.Jackson JS, Neighbors HW, Nesse RM, Trierweiler SJ, Torres M. Methodological innovations in the National Survey of American Life. Int J Methods in Psych Res. 2004;13:289–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Jackson JS, Torres M, Caldwell CH, Neighbors HW, Nesse RM, Taylor RJ, et al. The National Survey of American Life: A study of racial, ethnic, and cultural influences on mental disorders and mental health. Int J Methods in Psych Res. 2004:13:196–207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Heeringa S, Wagner J, Torres M, Duan NH, Adams T, Berglund P. Sample designs and sampling methods for the Collaborative Psychiatric Epidemiology Studies (CPES). Int J Methods in Psych Res. 2004;13;221–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Interuniversity Consortium for Political and Social Research (ICPSR). National Study of American Life (NSAL) sample design, 2013. Available at: http://www.icpsr.umich.edu/icpsrweb/CPES/about_cpes/sample_design.jsp
  • 27.Kessler RC, Andrews G, Mroczek D, Ustun B, Wittchen H The World Health Organization Composite International Diagnostic Interview Short Form (CIDI-SF). Int J Methods in Psych Res, 1998:7:17185. [Google Scholar]
  • 28.Spruill TM, Gerber LM, Schwartz JE, Pickering TG, Ogedegbe G. Race Differences in the Physical and Psychological Impact of Hypertension Labeling. Am J Hypertens. 2012. January 19. doi: 10.1038/ajh.2011.258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Melamed S, Froom P, Green MS. Hypertension and sickness absence: the role of perceived symptoms. J Behav Med. 1997;20:473–87. [DOI] [PubMed] [Google Scholar]
  • 30.Baumann LJ, Cameron LD, Zimmerman RS, Leventhal H. Illness representations and matching labels with symptoms. Health Psychol. 1989;8:449–69. [DOI] [PubMed] [Google Scholar]
  • 31.Pickering TG. Now we are sick: labeling and hypertension. J Clin Hypertens (Greenwich). 2006;8:57–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Segerstrom SC, Miller GE. Psychological stress and the human immune system: A meta-analytic study of 30 years of inquiry. Psychol Bullet. 2004;130(4):601–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Player MS, Peterson LE. Anxiety disorders, hypertension, and cardiovascular risk: a review. Int J Psychiatry Med. 2011;41(4):365–77. [DOI] [PubMed] [Google Scholar]
  • 34.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. July;22(7):613–26. [DOI] [PubMed] [Google Scholar]
  • 35.Ferraro KF, Farmer M. Double Jeopardy in Health Hypothesis for African Americans: Analysis and Critique. J Health Social Behavior. 1996;51B (6);S319–28. [PubMed] [Google Scholar]
  • 36.Anderson GM, Grumbach K, Loft HS, Roos LL, Mustard C, Brook R. Use of Coronary Artery Bypass Surgery in the United States. Journal of the American Medical Association. 1993;269:1661–6. [PubMed] [Google Scholar]
  • 37.Ayanian JZ, Udvarhelyi IS, Gatsonis CA, Pashos CL, Epstein AM. Racial differences in the use of revascularization procedures after coronary angiography.. JAMA; 1993;269(20):2642–46. [PubMed] [Google Scholar]
  • 38.Gillum RF. Coronary Artery Bypass Surgery and Coronary Angiography in the United States, 1979–1983. Am Heart J. 1987;113:125560. [DOI] [PubMed] [Google Scholar]
  • 39.Wee HL, Li SC, Cheung YB, Fong KY, Thumboo J. The influence of ethnicity on health-related quality of life in diabetes mellitus: a population-based, multiethnic study. J Diabetes Complications. 2006;20(3):170–8. [DOI] [PubMed] [Google Scholar]
  • 40.Smoller JW, Allison M, Cochrane BB, Curb JD, Perlis RH, Robinson JG, et al. Antidepressant use and risk of incident cardiovascular morbidity and mortality among postmenopausal women in the Women’s Health Initiative study. Arch Intern Med. 2009; 169(22):2128–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Barrick CB. Sad, glad, or mad hearts? Epidemiological evidence for a causal relationship between mood disorders and coronary artery disease. J Affect Disord. 1999;53:193–201. [DOI] [PubMed] [Google Scholar]
  • 42.Appels A. Depression and coronary heart disease: observations and questions. J Psychosom Res. 1997;43:443–52. [DOI] [PubMed] [Google Scholar]
  • 43.González HM, Tarraf W. Comorbid cardiovascular disease and major depression among ethnic and racial groups in the United States. Int Psychogeriatr. 2013. May;25(5):833–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Barth J, Schumacher M, Herrmann-Lingen C. Depression as a risk factor for mortality in patients with coronary heart disease: a meta-analysis. Psychosom Med. 2004;66:802–13. [DOI] [PubMed] [Google Scholar]
  • 45.van Melle JP, de Jonge P, Spijkerman TA, Tijssen JG, Ormel J, van Veldhuisen DJ, van den Brink RH, van den Berg MP. Prognostic association of depression following myocardial infarction with mortality and cardiovascular events: a meta-analysis. Psychosom Med. 2004;66: 814–22. [DOI] [PubMed] [Google Scholar]
  • 46.Nicholson A, Kuper H, Hemingway H. Depression as an aetiologic and prognostic factor in coronary heart disease: a meta-analysis of 6362 events among 146 538 participants in 54 observational studies. Eur Heart J. 2006;27:2763–74. [DOI] [PubMed] [Google Scholar]
  • 47.Rutledge T, Reis VA, Linke SE, Greenberg BH, Mills PJ. Depression in heart failure a meta-analytic review of prevalence, intervention effects, and associations with clinical outcomes. J Am Coll Cardiol. 2006;48:1527–37. [DOI] [PubMed] [Google Scholar]
  • 48.Rugulies R Depression as a predictor for coronary heart disease: a review and meta-analysis. Am J Prev Med. 2002;23:51–61. [DOI] [PubMed] [Google Scholar]
  • 49.Wulsin LR, Singal BM. Do depressive symptoms increase the risk for the onset of coronary disease? A systematic quantitative review. Psychosom Med. 2003;65:201–10. [DOI] [PubMed] [Google Scholar]
  • 50.Glassman AH, Shapiro PA. Depression and the course of coronary artery disease. Am J Psychiatry. 1998;155:4–11. [DOI] [PubMed] [Google Scholar]
  • 51.Musselman DL, Evans DL, Nemeroff CB. The relationship of depression to cardiovascular disease: epidemiology, biology, and treatment. Arch Gen Psychiatry. 1998;55:580–92. [DOI] [PubMed] [Google Scholar]
  • 52.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;318:1460–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Rozanski A, Blumenthal JA, Kaplan J. Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation. 1999;99:2192–217. [DOI] [PubMed] [Google Scholar]
  • 54.Lazarus RS, Folkman S. Stress, appraisal, and coping. New York: Springer, 1984. [Google Scholar]
  • 55.Lazarus RS Theory-based stress measurement. Psychological Inquiry. 1990;1(1),3–13. [Google Scholar]
  • 56.Dohrenwend BS, Dohrenwend BP. Stressful life events: Their nature and effects. Oxford, England: Wiley, 1974. [Google Scholar]
  • 57.Kressin NR, Wang F, Long J, Bokhour BG, Orner MB, Rothendler J, Clark C, Reddy S, Kozak W, Kroupa LP, Berlowitz DR. Hypertensive patients’ race, health beliefs, process of care, and medication adherence. J Gen Intern Med. 2007;22:768–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Okonofua EC, Cutler NE, Lackland DT, Egan BM. Ethnic differences in older Americans: awareness, knowledge, and beliefs about hypertension. Am J Hypertens. 2005;18:972–9. [DOI] [PubMed] [Google Scholar]
  • 59.Juergens MC, Seekatz B, Moosdorf RG, Petrie KJ, Rief W. Illness beliefs before cardiac surgery predict disability, quality of life, and depression 3 months later. J Psychosom Res. 2010;68:553–60. [DOI] [PubMed] [Google Scholar]
  • 60.Livingston IL. (Ed.). Handbook of Black American Health: The Mosaic of Conditions, Issues, Policies, and Prospects. Westport, CT: Greenwood Press; 1994. [Google Scholar]
  • 61.U.S. Department of Health and Human Services. Healthy People 2000: National Health Promotion and Disease Prevention Objectives. Washington, DC: U.S. Government Printing Office, 1991. [Google Scholar]
  • 62.Wolinsky FD, Aguirre BE, Fann L, Keith VM, Arnold CL, Niederhauer JC, Dietrich K. Ethnic Differences in the Demand for Physician and Hospital Utilization among Older Adults in Major American Cities: Conspicuous Evidence of Considerable Inequalities. Milbank Quarterly. 1989;67:412–449. [PubMed] [Google Scholar]
  • 63.Williams DR, González HM, Neighbors H, Nesse R, Abelson JM, Sweetman J, Jackson JS. Prevalence and distribution of major depressive disorder in African Americans, Caribbean blacks, and non-Hispanic whites: results from the National Survey of American Life. Arch Gen Psychiatry. 2007;64(3):305–15. [DOI] [PubMed] [Google Scholar]
  • 64.Jackson JS, Knight KM, Rafferty JA. Race and unhealthy behaviors: chronic stress, the HPA axis, and physical and mental health disparities over the life course. Am J Public Health. 2010;100(5):933–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Schulz A, Israel B, Williams D, Parker E, Becker A, James S. Social inequalities, stressors and self reported health status among African American and White women in the Detroit metropolitan area. Soc Sci Med. 2000;51:1639–53. [DOI] [PubMed] [Google Scholar]
  • 66.Williams DR. Racial/ethnic variations in women’s health: The social embeddedness of health. Am J Public Health. 2002;92(4):588–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Williams DR, Neighbors HW, Jackson JS. Racial/ethnic discrimination and health: findings from community studies. Am J Public Health. 2003;93(2):200–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Koopmans GT, Lamers LM. Chronic conditions, psychological distress and the use of psychoactive medications. J Psychosom Res. 2000;48(2):115–23. [DOI] [PubMed] [Google Scholar]
  • 69.Morenoff JD, House JS, Hansen BB, Williams DR, Kaplan GA, Hunte HE. Understanding social disparities in hypertension prevalence, awareness, treatment, and control: the role of neighborhood context. Soc Sci Med. 2007;65:1853–66 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Gibson RC. Race and the Self-Reported Health of Elderly Persons. J Gerontol: Social Science. 1991;46:S235–42. [DOI] [PubMed] [Google Scholar]
  • 71.Cohen S, Herbert TB. Health psychology: Psychological factors and physical disease from the perspective of human psychoneuroimmunology. Annu Rev Psychol. 1996;47:113–42. [DOI] [PubMed] [Google Scholar]
  • 72.Palinkas LA, Wingard DL, Barrett-Connor E. Chronic illness and depressive symptoms in the elderly: a populationbased study. J Clin Epidemiol. 1990;43(11):1131–41. [DOI] [PubMed] [Google Scholar]
  • 73.Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes: a meta-analysis. Diabetes Care. 2001;24(6):1069–78. [DOI] [PubMed] [Google Scholar]
  • 74.Theofilou P. Depression and anxiety in patients with chronic renal failure: the effect of sociodemographic characteristics. [DOI] [PMC free article] [PubMed]
  • 75.Grigsby AB, Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. Prevalence of anxiety in adults with diabetes: a systematic review. J Psychosom Res. 2002; 53(6):1053–60. [DOI] [PubMed] [Google Scholar]
  • 76.Israel M Depression in dialysis patients: a review of psychological factors. Can J Psychiatry. 1986;31(5):445–51. [DOI] [PubMed] [Google Scholar]
  • 77.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 Psych. 2005;62:593–602. [DOI] [PubMed] [Google Scholar]
  • 78.Kessler RC, Chiu WT, Demler O, Walters EE. Prevalence, severity, and comorbidity of 12 month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psych. 2005;62:617–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Takeuchi DT, Zane N, Hong S, Chae DH, Gong F, Gee GC, Walton E, Sue S, Alegria M. Immigration-related factors and mental disorder among Asian Americans. Am J Public Health. 2007;97:84–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Assari S. Separate and combined effects of anxiety, depression and problem drinking on subjective health among black, hispanic and nonhispanic white men. Int J Prev Med. 2014;5(3):269–79. [PMC free article] [PubMed] [Google Scholar]
  • 81.Alegria M, Mulvaney-Day N, Torres M, Polo A, Cao Z, Canino G. Prevalence of psychiatric disorders across Latino subgroups in the United States. Am J Public Health. 2007;97:68–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.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. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Janszky I, Ahnve S, Lundberg I, et al. Early-onset depression, anxiety and risk of subsequent coronary heart disease. 37-year follow-up of 49,321 young Swedish men. J Am Coll Cardiol. 2010;56:31–7. [DOI] [PubMed] [Google Scholar]
  • 84.Assari S Additive Effects of Anxiety and Depression on Body Mass Index among Blacks: Role of Ethnicity and Gender. Int Cardiovasc Res J. 2014;8(2):44–51. [PMC free article] [PubMed] [Google Scholar]
  • 85.Assari S Chronic medical conditions and major depressive disorder: differential role of positive religious coping among African Americans, Caribbean blacks and non-hispanic whites. Int J Prev Med. 2014;5(4):405–13. [PMC free article] [PubMed] [Google Scholar]
  • 86.Assari S, Lankarani MM, Lankarani RM. Ethnicity modifies the additive effects of anxiety and drug use disorders on suicidal ideation among black adults in the United States. Int J Prev Med. 2013;4(11):1251–7. [PMC free article] [PubMed] [Google Scholar]
  • 87.Race Assari S. and Ethnicity Religion Involvement, Church-based Social Support and Subjective Health in United States: A Case of Moderated Mediation. Int J Prev Med. 2013;4(2):208–17. [PMC free article] [PubMed] [Google Scholar]
  • 88.Assari S Association between obesity and depression among American Blacks: Role of ethnicity and gender. Journal of Racial and Ethnic Health Disparities. 2014;1(1):36–44. [Google Scholar]
  • 89.Assari S Synergistic Effects of Lifetime Psychiatric Disorders on Suicidal Ideation Among Blacks in the USA. Journal Racial Ethnic Health Disparities 2014: 1–8. [Google Scholar]
  • 90.Assari S The link between mental health and obesity: role of individual and contextual factors. Int J Prev Med. 2014;5(3):247–9. [PMC free article] [PubMed] [Google Scholar]
  • 91.Assari S 1, Lankarani RM, Lankarani MM. Cross-country differences in the association between diabetes and disability. J Diabetes Metab Disord. 2014. 6;13(1):3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Assari S Cross-country variation in additive effects of socio-economics, health behaviors, and comorbidities on subjective health of patients with diabetes. J Diabetes Metab Disord. 2014;13(1):36. [DOI] [PMC free article] [PubMed] [Google Scholar]

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