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Keywords:

  • women;
  • cardiac risk factors;
  • perceived risk;
  • minority;
  • stress

Abstract

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. CONCLUSIONS
  6. Acknowledgments
  7. References

Background: Black women have a disproportionately higher incidence of cardiovascular disease mortality than other groups and the reason for this health disparity is incompletely understood. Underestimation of personal cardiac risk may play a role.

Objective: We investigated the personal characteristics associated with underestimating cardiovascular disease in black women.

Design, Setting, Participants: Trained surveyors interviewed 128 black women during the baseline evaluation for a randomized controlled trial in an urban, academic continuity clinic affiliated with a public hospital system. They provided information on the presence of cardiac risk factors and demographic and psychosocial characteristics. These self-report data were supplemented with medical record abstraction for weight.

Measurements and Main Results: The main outcome measure was the accurate perception of cardiac risk. Objective risk was determined by a simple count of major cardiac risk factors and perceived risk by respondent's answer to a survey question about personal cardiac risk. The burden of cardiac risk factors was high in this population: 77% were obese; 72% had hypertension; 48% had high cholesterol; 49% had a family history of heart disease; 31% had diabetes, and 22% currently used tobacco. Seventy-nine percent had 3 or more cardiac risk factors. Among those with 3 or more risk factors (“high risk”), 63% did not perceive themselves to be at risk for heart disease. Among all patients, objective and perceived cardiac risk was poorly correlated (κ=0.026). In a multivariable model, increased perceived personal stress and lower income were significant correlates of underestimating cardiac risk.

Conclusions: Urban, disadvantaged black women in this study had many cardiac risk factors, yet routinely underestimated their risk of heart disease. We found that the strongest correlates of underestimation were perceived stress and lower personal income.

Cardiovascular disease is the leading cause of death for women, and substantial variation exists in cardiovascular disease treatment and mortality across racial and socioeconomic lines.1,2 In particular, black women have a disproportionately higher incidence of cardiovascular disease mortality than other groups.3 The reason for this health disparity is incompletely understood. Several explanatory factors likely exist. First, there are disparities in the primary and secondary treatment of cardiac disease as well as in the prevention and reduction of associated risk factors.2,4–7 Second, black women have a higher prevalence of individual cardiac risk factors than other groups. This includes the traditional risks such as family history, hypertension, diabetes, dyslipidemia, obesity, and physical inactivity,8,9 and nontraditional risk factors such as stress.10–12 Third, black women, like most women, have a poor understanding of the importance of cardiovascular disease as a major health threat. Furthermore, most black women, even those who are at high risk for cardiovascular disease, have a poor understanding of risk factors for heart disease.13–17

A lack of awareness of cardiac risk factors translates into an underestimation of personal cardiac risk factors and subsequent disease.18 Such underestimation of risk for heart disease likely inhibits preventive behaviors such as improving dietary habits, activity levels, or decreasing tobacco use.13 This study investigated whether high-risk black women accurately perceive their global risk of heart disease and explored the personal characteristics associated with underestimation of that risk.

METHODS

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. CONCLUSIONS
  6. Acknowledgments
  7. References

Design

Data for this study were taken from the baseline, cross-sectional information collected on patients enrolled in a larger, randomized controlled educational intervention study. The focus of that study was to improve patient understanding of their personal risk for cardiovascular disease. The intervention consisted of small group and individual discussions between a health care provider and patients about their cardiovascular risk. The Institutional Human Subjects Committee at Tulane University Health Sciences Center approved the data collection procedures.

Setting and Population

This analysis included the subsample of all 128 black women from the total of 199 individuals who participated in the randomized trial. All participants were identified from those presenting for care at an urban continuity clinic in metropolitan New Orleans over a 4-month period. The clinic is an internal medicine practice that is part of a large public hospital system serving a low-income population that is primarily middle-aged, female (75%), and black (75%). The clinic site is designated as a federal Health Manpower Shortage Area, indicating that the population is underserved with respect to health services. Direct, continuity medical care is provided by faculty physicians with clinical appointments at 1 of 2 area medical schools. Patients were eligible for participation if they were over the age of 18, enrolled in the continuity clinic, spoke English as a primary language, and consented to participation. There were no exclusions based upon race/ethnicity, gender, or comorbidity.

Data Collection

Trained surveyors administered a multipart survey to the study population. The items measured included demographic, socioeconomic, medical history, and psychosocial variables. The participant's clinic notes were also abstracted to obtain weight. Demographic information collected included age and gender. Socioeconomic variables measured were race/ethnicity, income, educational level, and current employment status. The survey instrument included self-reported history of chronic conditions and the major cardiac risk factors (hypertension, diabetes, high cholesterol, and smoking history). Sample questions included, “Do you smoke?” and “Has a doctor ever told you that you have diabetes?” A complete list of the questions used to assess cardiac risk can be found in Appendix A (available online).

In focus groups and in-depth interviews at our own institution, black women consistently identified stress as a risk factor for cardiac disease and its associated risk factors, even when they were unable to name other, more common risk factors.19–21 Therefore, we measured stress on our survey instrument with the single item, “I feel stressed dealing with the problems of life.” Respondents were asked to select from 6 responses on a Likert-type scale that included “very strongly agree,”“strongly agree,”“agree,”“disagree,”“strongly disagree,” and “very strongly disagree.” For purposes of analysis, responses to this question were collapsed into 2 categories: “agree” and “disagree.”

We asked participants to rate their perceived risk for cardiac disease. The question wording was: “What do you think your risk for heart disease is?” with response options of: “low,”“moderate,”“high,” or “very high.” For analytic purposes, the original “high” and “very high” response options were collapsed into a single category (“high”) and “low” and “moderate” were collapsed into a single category (“low”).

Analysis

We calculated objective cardiac risk based on a simple count of established cardiovascular risk factors which has previously been demonstrated to predict long-term outcomes.22–24 These included: hypertension, diabetes, high cholesterol, smoking, family history, and obesity. Each of the cardiac risk factors was derived from self-report, except for obesity, which was considered present if the calculated body mass index was≥30 as derived from self-reported height and chart-abstracted weight. Patients were considered “high” risk if they had 3 or more of these cardiac risk factors.

The correspondence between objective and perceived cardiac risk was assessed with a κ statistic. In women with an “objective” high risk for cardiac disease (3 or more risk factors), we created a dichotomous variable representing whether they did or did not perceive their cardiac risk to be high. “Underestimators” were those women who perceived themselves to be at “low” risk, but were actually at high risk (i.e., had 3 or more cardiac risk factors).

Next, we developed a logistic regression model that was adjusted for age and socioeconomic status (income) to identify characteristics that predicted patients who underestimated their objective cardiac risk level. The outcome of interest was a dichotomous variable representing those at high risk who perceived themselves to be at low risk (“underestimators”) or all others. Potential predictors of underestimation of cardiac risk level included in the model were age and income both modeled as continuous variables. Traditional cardiac risk factors including obesity, hypertension, diabetes, hyperlipidemia, family history, and smoking history were forced into the model. We also included perceived stress, as measured by our self-reported measure.

We performed 2 sensitivity analyses by repeating the regression analysis on a sample excluding women with known cardiovascular disease and on the subgroup of only those women in our sample whose objective cardiac risk was “high.”

RESULTS

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. CONCLUSIONS
  6. Acknowledgments
  7. References

Respondent Characteristics

Most of the women were middle-aged, poorly educated, and had incomes well below the poverty level (Table 1). The majority was not active in the workforce because they were unemployed, retired, students, or homemakers. Most reported they felt stress dealing with the problems of daily life. The burden of known cardiac risk factors was high in this population (Table 1). The most common cardiac risk factor combination was obesity and hypertension in 61% of respondents. The next most common combination was hypertension and a family history of heart disease followed by obesity and a family history of heart disease.

Table 1. Characteristics of Urban, Black Women Surveyed*
Characteristic N=128
  • GED, general equivalency diploma; SD, standard deviation; BMI, body mass index. Because of rounding, percents may not add up to 100 .

  • *

    Based upon data collected at baseline .

  • Obesity considered present if the BMI was≥30 kg/m2 using weight abstracted from the clinic note and self-reported height .

  • Defined by patient self-report .

Mean age, years (range)56 (35 to 86)
Formal education (%)
 Less than high school38
 High school graduate or GED39
 Some technical, college, or graduate school23
Income (%)
 Less than $500 per month37
 $501 to $750 per month29
 More than $750 per month34
Not active in the workforce (%)58
Perceived stress (%)59
Perceived cardiac risk high (%)30
Objective cardiac risk factors (%)
 Obesity77
 Hypertension72
 Family history49
 High cholesterol48
 Diabetes31
 Current tobacco use22
Objective cardiac risk (%)
 0 Risk factors2
 1 Risk factor8
 2 Risk factors12
 ≥3 Risk factors79

There was low agreement between objective and perceived cardiac risk (Table 2). Despite the high prevalence of multiple cardiac risk factors, only one third of participants reported themselves to be at high risk of cardiovascular disease. Among patients who actually were at high risk for cardiovascular disease, two thirds underestimated their risk. Those respondents who had underestimated their cardiac risk were older, more often obese, and diagnosed with hypertension and diabetes. However, they were less likely to smoke or have a family history of heart disease. In addition, patients who underestimated their risk for heart disease tended to be less educated and were more often inactive in the workforce. However, none of these relationships was statistically significant. By contrast, patients who perceived themselves as stressed were significantly more likely to underestimate their risk (P<.001).

Table 2. Objective Versus Perceived Cardiac Risk in 128 Urban, Black Women Surveyed (% of respondents)*
Objective RiskPerceived Risk
Low (%)High (%)
  • *

    κ=0.026.

  • Perceived risk was defined by their response to the question:What do you think your risk for heart disease is?with response options of: “low,”“moderate,”“high,” or “very high.” This variable was collapsed into 2 categories with “low” representing those reporting “low” and “moderate” risk and “high” representing those selecting “high” and “very high” risk.

  • Objective risk was defined by a simple count of the following risk factors: hypertension, diabetes, high cholesterol, smoking, obesity, and family history. Patients with 3 or more risk factors were defined as high risk. All others were considered “low” risk .

  • The value in each cell represents the percentage of women whose perceived and cardiac risk fell into those respective categories. Shading indicates the greatest number of respondents .

Low165
High5524

In a multivariable model adjusting for age and including traditional cardiac risk factors, only stress and income were significant predictors of underestimation of cardiac risk. Lower income was correlated with underestimation of cardiovascular risk (odds ratio [OR] 0.71; 95% confidence interval [CI] 0.52, 0.96), as was a reported history of daily stress (OR 4.03; 95% CI 1.64, 9.90). Other variables included in this model were age, obesity, a personal history of hypertension, high cholesterol, diabetes, current smoking, and a family history of cardiac disease.

In the analysis excluding women with a history of cardiovascular disease, the results were unchanged. Results were similar in the subsample of women with an objective “high” cardiac risk. The inverse relationship between stress and underestimation of risk strengthened (OR 4.65; 95% CI 1.65, 13.05) and income was no longer statistically significantly associated with underestimation of risk, although the directionality was unchanged.

CONCLUSIONS

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. CONCLUSIONS
  6. Acknowledgments
  7. References

We conducted a study to determine the characteristics of black women who underestimated their risk for cardiovascular disease. Despite a high burden and clustering of cardiac risk factors, we found that two thirds of the urban, black women in our study did not perceive themselves at risk for heart disease. Among high-risk women, there was low agreement between women's objective and perceived risk. Self-reported stress strongly correlated with underestimate cardiac risk.

Underestimation of cardiac risk has been demonstrated in other populations. This has been shown to be particularly true for patients with worse health, such as those with a higher burden of chronic disease,25 and among patients with lower socioeconomic status relative to their peers.13 In a study by Avis et al.,14 underestimation of cardiac risk was associated with less education. In their study, they also found that about half of nonminority patients estimated themselves at low risk for heart attack with 40% underestimating their risk.14 In a Scandinavian study of 26 primary care clinics, investigators found that the majority of patients who perceived themselves at low risk of cardiac disease were actually estimated to be at high risk by their physicians, based on objective data.25 Our report adds to these findings showing disconnect between objective and perceived risk in an underserved, minority population of women.

The epidemiologic relationships between reported or presumed stress and cardiovascular disease have been well documented for decades.11,26–28 Although the precise mechanistic relationship between psychosocial issues, such as stress and coronary heart disease, is still open for debate,29,30 evidence supports a physiologic link. Stress reduction techniques can improve the treatment of chronic cardiovascular risk factors such as hypertension.31,32 Research in minority populations demonstrates a perceived link between stress and heart disease. During in-home interviews of a population-based sample of 601 black, Hispanic, and non-Hispanic white American men and women aged 75 and older, blacks were more than 3 times as likely to attribute heart disease to stress as were non-Hispanic whites.33 In a study assessing perceptions of risk for cardiac disease among inner-city women, the vast majority of whom were black, nearly all the women named stress as a risk factor for cardiac disease.34 Others have reported similar findings.14,17

Our study did not ask women if they believed that stress was a risk factor for cardiovascular disease. Rather, we asked women if they were stressed, and examined the association between perceived stress and perception of personal cardiovascular disease risk. We found that individuals did not recognize their risk when they felt stressed. This paradoxic finding suggests yet another mechanism by which stress may increase cardiac risk. Women who feel stressed may be less likely to attend to their cardiovascular health, and underestimation of chronic heart disease risk may prevent women from making significant changes in dietary habits, activity levels, and tobacco use to decrease their risk.35 Women who feel stressed may also simply be unable to attend to cardiovascular health, and therefore unwilling to consider it, if stressors are acute enough or severe enough, as they may be because of conditions of inner city, urban poverty.

Our study has limitations. These respondents were drawn from a single, urban clinic site. Nonetheless, the profile of these patients is similar in demographics and socioeconomics to other public hospital settings in the inner city. Therefore, this information may be applicable to those caring for similar populations. Further, this cohort represents the beliefs of patients presenting for care, and therefore not the beliefs of a community cohort, potentially limiting the generalizability of the results. However, one would anticipate that a sample of patients who are at high risk for cardiac disease and receiving continuity care would be more aware of their risk for cardiac disease than a community sample, leading to less discordance between objective and perceived risk. We used self-reported risk factors, with the exception of obesity, to assess objective cardiac risk. Under- and overreporting is possible with self-reports36 although such measures are generally known to be accurate.37–39 Another potential limitation is the use of a simple count of cardiac risk factors rather than a more accurate prediction index such as the Framingham Index. However, our goal was not to predict precise future risk, but rather look for patterns of cardiac risk underestimation. As a measure of perceived stress, we used a single-item measure. Although others have validated the use of single-item measures for assessing patient self-reports of stress, there may be measurement limitations to this approach.25 We were unable to control for health insurance status and health utilization in our data set. Such covariates may serve as confounders in personal assessment of stress and cardiac risk. Finally, because of the cross-sectional nature of our data, we can only describe the correlation between the participant characteristics and their ability to accurately perceive their cardiovascular risk, not causation.

Attempts to improve the health of underserved groups should use interventions that are sensitive to the health beliefs of the targeted group. Our findings suggest the need for health education interventions and policy strategies that strengthen social support and stress coping. Further research should be performed to investigate how at-risk black women define “stress.” It could also examine whether innovative educational programs that include stress reduction techniques would be more effective than focusing purely on traditional cardiac risk factors risk reduction. Additionally, screening patients for perceived stress with even a simple question may help identify those patients who underestimate their cardiac risk.

Acknowledgments

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. CONCLUSIONS
  6. Acknowledgments
  7. References

This study was supported by a grant from Pfizer Inc. The authors would like to thank Mike Jamieson, MD, for his helpful contributions to the development of this project.

References

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. CONCLUSIONS
  6. Acknowledgments
  7. References
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