• We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
N Engl J Med. Author manuscript; available in PMC Jul 26, 2012.
Published in final edited form as:
PMCID: PMC3336876
NIHMSID: NIHMS356904

Lifetime Risks of Cardiovascular Disease

Abstract

BACKGROUND

The lifetime risks of cardiovascular disease have not been reported across the age spectrum in black adults and white adults.

METHODS

We conducted a meta-analysis at the individual level using data from 18 cohort studies involving a total of 257,384 black men and women and white men and women whose risk factors for cardiovascular disease were measured at the ages of 45, 55, 65, and 75 years. Blood pressure, cholesterol level, smoking status, and diabetes status were used to stratify participants according to risk factors into five mutually exclusive categories. The remaining lifetime risks of cardiovascular events were estimated for participants in each category at each age, with death free of cardiovascular disease treated as a competing event.

RESULTS

We observed marked differences in the lifetime risks of cardiovascular disease across risk-factor strata. Among participants who were 55 years of age, those with an optimal risk-factor profile (total cholesterol level, <180 mg per deciliter [4.7 mmol per liter]; blood pressure, <120 mm Hg systolic and 80 mm Hg diastolic; nonsmoking status; and nondiabetic status) had substantially lower risks of death from cardiovascular disease through the age of 80 years than participants with two or more major risk factors (4.7% vs. 29.6% among men, 6.4% vs. 20.5% among women). Those with an optimal risk-factor profile also had lower lifetime risks of fatal coronary heart disease or nonfatal myocardial infarction (3.6% vs. 37.5% among men, <1% vs. 18.3% among women) and fatal or nonfatal stroke (2.3% vs. 8.3% among men, 5.3% vs. 10.7% among women). Similar trends within risk-factor strata were observed among blacks and whites and across diverse birth cohorts.

CONCLUSIONS

Differences in risk-factor burden translate into marked differences in the lifetime risk of cardiovascular disease, and these differences are consistent across race and birth cohorts. (Funded by the National Heart, Lung, and Blood Institute.)

In recent decades, clinical and public health efforts to reduce the burden of cardiovascular disease have emphasized the importance of calculating global, short-term (generally 10-year) risk estimates.1 However, the majority of adults in the United States who are considered to be at low risk for cardiovascular disease in the short term are actually at high risk across their remaining lifespan.2,3 Estimates of the lifetime risk of cardiovascular disease provide a more comprehensive assessment of the overall burden of the disease in the general population, now and in the future, because they take into account both the risk of cardiovascular disease and competing risks (e.g., death from cancer) until participants reach an advanced age.4,5 Such estimates can help guide public health policy, allowing projections of the overall burden of cardiovascular disease in the population.

Most estimates of the lifetime risk of cardiovascular disease have been derived from analyses restricted to risk factors measured at a single age in a predominantly white population.6,7 These estimates do not account for the potential effects of birth cohort that may arise from secular changes in risk-factor levels8,9 or for the widespread use of medical treatment, which has translated into marked reductions in rates of cardiovascular events in the United States.10

The Cardiovascular Lifetime Risk Pooling Project was designed to collect and pool data from numerous longitudinal epidemiologic cohort studies conducted in the United States over the past 50 years. This pooling approach provides an opportunity to calculate estimates of the lifetime risk of cardiovascular events according to age, sex, race, and other risk factors across multiple birth cohorts that would not be feasible within any one data set alone.

METHODS

STUDY SAMPLE

We included data sets in the Cardiovascular Lifetime Risk Pooling Project if they met the following criteria: they represented either community-based or population-based samples or large volunteer cohorts, they included at least one baseline examination with direct measurement of physiological and anthropometric (e.g., weight) variables, and they included 10 or more years of follow-up for fatal or nonfatal cardiovascular events or both. Data from 18 unique cohorts were included in the study, 17 of which were included in the pooled analysis1132 (all cohorts are listed in the Supplementary Appendix, available with the full text of this article at NEJM.org). Because of the large size of one study, the Multiple Risk Factor Intervention Trial (MRFIT), relative to the other 17 studies, this cohort was analyzed separately. All data were appropriately de-identified, and all study protocols and procedures were approved by the institutional review board at Northwestern University.

ASCERTAINMENT OF BASELINE MEASURES AND FOLLOW-UP EVENTS

The protocols used to obtain data on demographic characteristics, personal and medical history, physical examination, laboratory results, and follow-up procedures for ascertainment of vital status and events for all cohorts included in the study have been published elsewhere.1132 Blood pressure and serum cholesterol levels were measured directly in all participants; data on smoking status were self-reported, as were data on diabetes status, the latter derived from records of self-report, use of medication for diabetes, or both. Events were ascertained with the use of strategies selected by each cohort’s investigator group and included death from cardiovascular disease, from coronary heart disease, or from any cause and nonfatal events of interest, including myocardial infarction and stroke. (Detailed descriptions of the approaches used in event ascertainment are provided in the Supplementary Appendix.)

STATISTICAL ANALYSIS

All statistical analyses were performed with the use of SAS statistical software, version 9.1 (SAS Institute). For the calculation of lifetime risk, a modified version of survival analysis was used.4,5 In this type of analysis, the incidence of each end point and of death free of the end point for each age attained during follow-up is calculated. Age-specific hazards, incidence rates, cumulative incidence, and survival probabilities were calculated as they are in a Kaplan–Meier analysis.33 Because the Kaplan–Meier cumulative incidence does not reflect the competing risk of death from causes other than cardiovascular disease before the occurrence of an end point (and therefore overestimates the remaining lifetime risk of cardiovascular disease when the competing risk is high4,5,34), adjustment was made for this competing risk to yield an accurate estimate of the remaining lifetime risk of cardiovascular disease.5 Lifetime risk estimates reflect the sum of the adjusted, age-specific incidences from study entry to age at last observation.

Participant data were stratified according to risk-factor levels or status as assessed within 5 years of each index age. For example, risk factors measured for participants between 40 and 49 years of age were included in the analyses for the age of 45 years. Risk-factor level or status was classified in aggregate, in accordance with our previously published algorithm,2,7 into five mutually exclusive categories (Table 1), one in which all risk factors were optimal, a second in which at least one risk factor was not optimal, a third in which at least one risk factor (cholesterol level or blood pressure) was elevated, a fourth in which one major risk factor was present, and a fifth in which two or more major risk factors were present.

Table 1
Baseline Risk Factors and Risk-Factor Profile among Men and Women According to Age Group.*

Descriptions of secondary analyses are included in the Supplementary Appendix. All references to estimates of lifetime risk reflect those derived from the 17 studies in the pooled cohort, after the exclusion of data from participants in MRFIT, with the exception of race-specific estimates for men, which were derived from MRFIT.

RESULTS

BASELINE CHARACTERISTICS

A total of 67,890 participants (who underwent 117,557 in-person examinations) were included from the 17 studies in the pooled cohort; an additional 189,494 participants (each examined once) were included from MRFIT. In general, the older study participants in the pooled cohort had a higher prevalence of diabetes and higher systolic blood pressure, whereas the younger participants had a higher prevalence of smoking (Table 1). The percentage of participants in the lower-risk groups was small, with approximately 5% in the group in which all risk factors were optimal. In contrast, approximately two thirds of participants were in the two highest-risk groups (having at least one major risk factor).

When participants were stratified according to birth cohort, we observed significant but expected differences in the burden of risk factors between older and younger birth cohorts, for both men and women (Table 1 in the Supplementary Appendix). For example, as compared with 55-year-old men born before 1920, those born in or after 1920 had a higher prevalence of diabetes (8.8% vs. 4.2%), a lower prevalence of smoking (29.5% vs. 52.3%), and lower mean levels of total cholesterol (210 mg per deciliter vs. 216 mg per deciliter [5.4 mmol per liter vs. 5.6 mmol per liter]) and systolic blood pressure (124 mm Hg vs. 137 mm Hg). When participants were stratified according to race, the burden of risk factors was higher among blacks than among whites (Table 2 in the Supplementary Appendix).

EFFECTS OF AGGREGATE RISK-FACTOR BURDEN

In analyses of the pooled cohort at an index age of 55 years, during up to 731,615 person-years of follow-up, there were 5912 deaths from cardiovascular diseases, 5061 fatal or nonfatal myocardial infarctions, 2295 fatal or nonfatal strokes, and a total of 9391 events related to atherosclerotic cardiovascular disease. Among persons of the same index age in MRFIT, there were 14,199 deaths from cardiovascular disease, with 1,766,773 person-years of follow-up. The lifetime risks of death from cardiovascular disease in the pooled cohort were higher among men than among women but were similar between blacks and whites (white men, 36.1%; black men, 33.0%; white women, 26.6%; black women, 27.1%).

Among men and women with an index age of 55 years, a higher burden of risk factors was associated with a higher lifetime risk of death from cardiovascular disease. (Fig. 1 and and22 provide the lifetime risks of death from cardiovascular disease according to aggregate levels of risk for men and women at 55 years of age in the pooled cohort [i.e., excluding persons from MRFIT].) The findings were similar at 45 years of age (Fig. 1A and 1B in the Supplementary Appendix). There were marked differences in the observed lifetime risks of death from cardiovascular disease according to the risk-factor burden, particularly at the age of 45 years. A similar pattern was noted for risk factors measured at other ages and for the additional end points of death from coronary heart disease or nonfatal myocardial infarction, fatal or nonfatal stroke, and total number of events related to atherosclerotic cardiovascular disease (Tables 2 and and33).

Figure 1
Lifetime Risk of Death from Cardiovascular Disease among Black Men and White Men at 55 Years of Age, According to the Aggregate Burden of Risk Factors and Adjusted for Competing Risks of Death
Figure 2
Lifetime Risk of Death from Cardiovascular Disease among Black Women and White Women at 55 Years of Age, According to the Aggregate Burden of Risk Factors and Adjusted for Competing Risks of Death
Table 2
Lifetime Risks of Fatal and Nonfatal Events among Men According to Aggregate Burden of Risk Factors.*
Table 3
Lifetime Risks of Fatal and Nonfatal Events among Women According to Aggregate Burden of Risk Factors.*

Lifetime risks tended to be very low among persons who had an optimal risk-factor profile at all index ages. Lifetime risks became substantially higher once any risk factor level or status was not considered to be optimal, with stepwise increases in remaining lifetime risk across groups with less favorable profiles for aggregate risk. In general, the lifetime risk of death from cardiovascular disease and coronary heart disease or of nonfatal myocardial infarction were about twice as high among men as they were among women, whereas the lifetime risks of fatal stroke and nonfatal stroke did not differ substantially according to sex.

For the comparison between blacks and whites of the same sex, the lifetime risks of death from cardiovascular disease were similar among participants with similar levels of aggregate risk. In the MRFIT cohort, at 55 years of age, both white men and black men with optimal risk-factor profiles had substantially lower lifetime risks of cardiovascular death than did men with two or more major risk factors (white men, 4.0% vs. 26.6%; black men, 9.9% vs. 27.9%) (Fig. 2 in the Supplementary Appendix). The results of race-stratified analyses were similar among women (data not shown).

EFFECTS OF BIRTH COHORT

At the age of 55 years, the 20-year adjusted risk of death from cardiovascular disease was lower in younger birth cohorts than it was in older birth cohorts. For example, as compared with men in the first National Health and Nutrition Examination Survey (NHANES I, examinations conducted from 1976 through 1980), the men in NHANES III (examinations conducted from 1988 through 1994) had a lower 20-year adjusted risk of death from cardiovascular disease (17.7% vs. 10.5%). The findings were similar for women (12.2% vs. 7.0%). These differences were observed when there were marked changes in the prevalence of two or more major risk factors, with the prevalence decreasing from 39.0% for older men to 21.2% for younger men and from 40.3% for older women to 23.0% for younger women (Table 1 in the Supplementary Appendix). Nevertheless, the 20-year adjusted risk of death from cardiovascular disease for each risk-factor profile remained quite similar across birth cohorts (Fig. 3 and 4 in the Supplementary Appendix).

COMPETING RISKS ACROSS THE LIFESPAN

With adjustment for competing causes of death, the lifetime risk of death from cardiovascular disease was reduced, as compared with the unadjusted risk, among all groups defined by age, sex, and risk-factor profile. The evidence for the effects of competing risks was most prominent at older ages and less favorable risk-factor profiles, which were associated with the highest rates of death from noncardiovascular causes. For example, among men 55 years of age with two or more major risk factors for cardiovascular disease, the unadjusted, Kaplan–Meier estimate that excluded competing risks of death was substantially higher than the lifetime-risk estimate that accounted for competing risks (81.8% vs. 44.5%) (Fig. 5 in the Supplementary Appendix).

DISCUSSION

In this study, we calculated the lifetime risk of cardiovascular disease according to age, sex, race, and other risk factors across multiple birth cohorts. There were several important findings. First, our data strongly reinforce the influence of traditional risk factors on the lifetime risk of cardiovascular disease. Even a relatively low burden of these risk factors was associated with significant increases in the long-term risk of cardiovascular disease, and the absence of traditional risk factors was associated with a very low lifetime risk. Second, despite the development of notable secular trends in the prevalence of risk factors during the past 40 years, we observed that the effect of these factors, when present, remained remarkably consistent across birth cohorts. In addition, although the prevalence of risk factors overall was higher among blacks than among whites, the lifetime risks of end points related to cardiovascular disease were similar among blacks and whites when their risk-factor profiles were similar.

The presence or absence of traditional risk factors appears to represent a much more consistent determinant of the long-term risk of cardiovascular disease than race or birth cohort. For example, among 55-year-old men with two or more major risk factors, the 20-year adjusted risk of death from cardiovascular disease was only 4% lower among men born in or after 1920 than it was among those born before 1920 (16.8% vs. 20.7%), presumably reflecting the potential influences of subsequent treatment. In contrast with these modest effects related to birth cohort, the 20-year adjusted risk of death from cardiovascular disease was substantially greater across risk-factor strata. For example, among men born before 1920, those with only one risk factor had a 20-year adjusted risk of death from cardiovascular disease that was 13 percentage points lower than that among men with two or more major risk factors (7.5% vs. 20.7%). Thus, in the younger birth cohorts, the marked decrease in the proportion of cohort members who were classified in the highest risk group (persons with two or more major risk factors) appears to account for the majority of the decline in cardiovascular events.

We believe these findings have important implications for clinical disease prevention and public health practice. First, the effect of untreated risk factors has been fairly constant for decades. Therefore, the present estimates of lifetime risk, made on the basis of current or projected risk-factor levels, may be important in estimating the future burden of cardiovascular disease in the general population. Second, efforts to lower the burden of cardiovascular disease will require prevention of the development of risk factors (primordial prevention) rather than the sole reliance on the treatment of existing risk factors (primary prevention).

Our data are also consistent with earlier observations suggesting that the decline in cardiovascular event rates in the general population reflects changes in the prevalence of risk factors rather than the effects of treatment alone.10,35 For example, 44.3% of the overall decline in U.S. rates of death from coronary heart disease in 1980 and in 2000 was attributed to population changes in levels of serum total cholesterol (24.2%) and systolic blood pressure (20.1%). The effects of clinical treatment on these risk factors were more modest, with statin and antihypertensive therapy accounting for 4.9% and 7.0% of the decline, respectively.10,35 We extend these observations to long-term risk estimates, showing that changes in the prevalence of risk-factor profiles strongly influence estimates of lifetime risk in the general population.

Prior studies have consistently shown that a higher burden of risk factors, measured individually or in aggregate, is associated with a markedly higher lifetime risk of cardiovascular disease.7,36,37 However, the majority of these earlier, smaller studies were confined to single cohorts with predominantly white participants. We believe that our analysis, which is based on pooled data from multiple birth cohorts, with both black participants and white participants and varied geographic origin, provides more representative estimates of the lifetime risks of cardiovascular disease.

Investigators in earlier studies, using standard methods, have observed that blacks and whites had similar magnitudes of relative risks for cardiovascular disease events associated with individual risk factors.3841 Thus, the higher prevalence of adverse risk factors among blacks translates into a higher observed risk of cardiovascular disease. In the present study, we also observed a higher prevalence of risk factors among blacks than among whites. However, because of the higher burden of competing risks among blacks, which our analytical approach accounted for, we observed similar lifetime risks of death from cardiovascular disease among blacks and whites, despite the higher burden of risk factors among blacks.

There are several limitations of the present study. First, our algorithm for aggregate risk-factor stratification included treated patients in the highest-risk groups. Although the inclusion of treated patients may have resulted in some misclassification, these participants represent a very small percentage of the overall cohort. The effect of this categorization, if anything, tends to underestimate future risk in the strata with the highest risk-factor burden. Furthermore, we have validated this algorithm in multiple and diverse cohorts, including the Framingham Heart Study,7 the Chicago Heart Association Detection Project in Industry,36 the Coronary Artery Risk Development in Young Adults (CARDIA) study,2 the Multi-Ethnic Study of Atherosclerosis (MESA),2 and the Dallas Heart Study,42 using diverse clinical and subclinical end points. We have also observed that the association between risk-factor categories and risk of cardiovascular disease does not depend on the presence or absence of any one risk factor alone. Therefore, we believe that our classification of risk-factor burden provides a reliable, and conservative, projection of the risk of cardiovascular disease.

Second, we were not able to estimate lifetime risks of death from cardiovascular disease for persons with risk factors measured in the most recent decade included in the study because the estimation of lifetime risk ideally requires several decades of actual follow-up from the point at which the risk factor is measured. Nevertheless, because of the consistency of results across birth cohorts in which the prevalence of elevated risk factors varies, we believe that the present data are applicable to contemporary cohorts.

In summary, the Cardiovascular Lifetime Risk Pooling Project represents a combined analysis of data from more than 250,000 participants derived from 18 cohorts during a period of more than 50 years. We found that the presence of elevated levels of risk factors at all ages translated into markedly higher lifetime risks of cardiovascular disease across the lifespan. These findings were consistent across risk-factor strata among both blacks and whites and across multiple birth cohorts.

Supplementary Material

Supplement1

Acknowledgments

This study was conducted with the use of limited-access data sets obtained by the National Heart, Lung, and Blood Institute (NHLBI) and does not necessarily reflect the opinions or views of the study investigators or the NHLBI.

Supported by grants from the NHLBI (R01-HL-43232 and R01-HL68140) to the Multiple Risk Factor Intervention Trial; grants from the NHLBI to Dr. Lloyd-Jones (R21 HL085375) and Dr. Berry (K23 HL092229); funding from the Dedman Family Scholar in Clinical Care endowment at UT Southwestern Medical Center to Dr. Berry; and a grant from the American Heart Association (10BG1A4280091) to Dr. Berry.

The Atherosclerosis Risk in Communities Study, Framingham Heart Study, Framingham Offspring Study, Honolulu Heart Program, and Puerto Rico Heart Health Program are conducted and supported by the NHLBI in collaboration with the study investigators. The following were also supported by the NHLBI: the Cardiovascular Health Study (CHS) (contracts N01-HC-85079 through N01-HC-85086, 35129, 15103, 55222, 75150, and 45133 and grant U01 HL080295), with additional contributions from the National Institute of Neurological Disorders and Stroke, and the Women’s Health Initiative (contracts N01-WH-22110, 24152, 32100-2, 32105-6, 32108-9, 32111-13, 32115, 32118-32119, 32122, 42107-26, 42129-32, and 44221). A full list of principal CHS investigators and institutions can be found at www.chs-nhlbi.org/pi.htm, and a full listing of WHI investigators can be found at www.whiscience.org/publications/WHI_investigators_shortlist.pdf.

We thank the investigators of all the cohort studies included in this analysis for their hard work and dedication in collecting the underlying data, and especially the study participants, whose dedication and commitment have formed the basis of profound observations regarding health and disease that have contributed to improved health, longevity, and quality of life for millions of persons.

Footnotes

Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

REFERENCES

1. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III): final report. Circulation. 2002;106:3143–3421. [PubMed]
2. Berry JD, Liu K, Folsom AR, et al. Prevalence and progression of subclinical atherosclerosis in younger adults with low short-term but high lifetime risk for cardiovascular disease: the Coronary Artery Risk Development in Young Adults Study and Multi-Ethnic Study of Atherosclerosis. Circulation. 2009;119:382–389. [PMC free article] [PubMed]
3. Marma AK, Berry JD, Ning H, Persell SD, Lloyd-Jones DM. Distribution of 10-year and lifetime predicted risks for cardiovascular disease in US adults: findings from the National Health and Nutrition Examination Survey 2003 to 2006. Circ Cardiovasc Qual Outcomes. 2010;3:8–14. [PMC free article] [PubMed]
4. Beiser A, D’Agostino RB, Sr, Seshadri S, Sullivan LM, Wolf PA. Computing estimates of incidence, including lifetime risk: Alzheimer’s disease in the Framingham Study: the Practical Incidence Estimators (PIE) macro. Stat Med. 2000;19:1495–1522. [PubMed]
5. Gaynor JJ, Feuer EJ, Tan CC, et al. On the use of cause-specific failure and conditional failure probabilities: examples from clinical oncology data. J Am Stat Assoc. 1993;88:400–409.
6. Lloyd-Jones DM, Larson MG, Beiser A, Levy D. Lifetime risk of developing coronary heart disease. Lancet. 1999;353:89–92. [PubMed]
7. Lloyd-Jones DM, Leip EP, Larson MG, et al. Prediction of lifetime risk for cardiovascular disease by risk factor burden at 50 years of age. Circulation. 2006;113:791–798. [PubMed]
8. Gregg EW, Cheng YJ, Cadwell BL, et al. Secular trends in cardiovascular disease risk factors according to body mass index in US adults. JAMA. 2005;293:1868–1874. [Erratum, JAMA 2005;294:182.] [PubMed]
9. Ford ES, Li C, Zhao G, Pearson WS, Capewell S. Trends in the prevalence of low risk factor burden for cardiovascular disease among United States adults. Circulation. 2009;120:1181–1188. [PubMed]
10. Ford ES, Ajani UA, Croft JB, et al. Explaining the decrease in U.S. deaths from coronary disease, 1980–2000. N Engl J Med. 2007;356:2388–2398. [PubMed]
11. Carman WJ, Barrett-Connor E, Sowers M, Khaw KT. Higher risk of cardiovascular mortality among lean hypertensive individuals in Tecumseh, Michigan. Circulation. 1994;89:703–711. [PubMed]
12. Cohen BB, Barbano HE, Cox CS, et al. Plan and operation of the NHANES I Epidemiologic Follow-up Study: 1982–84. Vital Health Stat 1. 1987;(22):1–142. [PubMed]
13. Cornoni-Huntley J, Ostfeld AM, Taylor JO, et al. Established populations for epidemiologic studies of the elderly: study design and methodology. Aging (Milano) 1993;5:27–37. [PubMed]
14. Dawber TR, Kannel WB, Lyell LP. An approach to longitudinal studies in a community: the Framingham study. Ann N Y Acad Sci. 1963;107:539–556. [PubMed]
15. Delgado JL, Johnson CL, Roy I, Treviño FM. Hispanic Health and Nutrition Examination Survey: methodological considerations. Am J Public Health. 1990;80(Suppl):6–10. [PMC free article] [PubMed]
16. Dyer AR, Persky V, Stamler J, et al. Heart rate as a prognostic factor for coronary heart disease and mortality: findings in three Chicago epidemiologic studies. Am J Epidemiol. 1980;112:736–749. [PubMed]
17. Fried LP, Borhani NO, Enright P, et al. The Cardiovascular Health Study: design and rationale. Ann Epidemiol. 1991;1:263–276. [PubMed]
18. García-Palmieri MR, Costas R, Jr, Cruz-Vidal M, et al. Risk factors and prevalence of coronary heart disease in Puerto Rico. Circulation. 1970;42:541–549. [PubMed]
19. The Women’s Health Initiative Study Group. Design of the Women’s Health Initiative clinical trial and observational study. Control Clin Trials. 1998;19:61–109. [PubMed]
20. Haan MN, Selby JV, Rice DP, et al. Trends in cardiovascular disease incidence and survival in the elderly. Ann Epidemiol. 1996;6:348–356. [PubMed]
21. Kagan A, Harris BR, Winkelstein W, Jr, et al. Epidemiologic studies of coronary heart disease and stroke in Japanese men living in Japan, Hawaii, and California: demographic, physical, dietary, and biochemical characteristics. J Chronic Dis. 1974;27:345–364. [PubMed]
22. Kannel WB, Feinleib M, McNamara PM, Garrison RJ, Castelli WP. An investigation of coronary heart disease in families: the Framingham Offspring Study. Am J Epidemiol. 1979;110:281–290. [PubMed]
23. Loria CM, Sempos CT, Vuong C. Washington, DC: Government Printing Office; 1999. Plan and operation of the NHANES II Mortality Study, 1992. Vital and health statistics. Series 1. No. 38. (DHHS publication no. (PHS) 97–1314.) [PubMed]
24. Markides KS, Stroup-Benham CA, Goodwin JS, Perkowski LC, Lichtenstein M, Ray LA. The effect of medical conditions on the functional limitations of Mexican-American elderly. Ann Epidemiol. 1996;6:386–391. [PubMed]
25. Neaton JD, Kuller LH, Wentworth D, Borhani NO. Total and cardiovascular mortality in relation to cigarette smoking, serum cholesterol concentration, and diastolic blood pressure among black and white males followed up for five years. Am Heart J. 1984;108:759–769. [PubMed]
26. Nelson KM, Boyko EJ, Koepsell T. All-cause mortality risk among a national sample of individuals with diabetes. Diabetes Care. 2010;33:2360–2364. [PMC free article] [PubMed]
27. Paul O, Lepper MH, Phelan WH, et al. A longitudinal study of coronary heart disease. Circulation. 1963;28:20–31. [PubMed]
28. Stamler J, Dyer AR, Shekelle RB, Neaton J, Stamler R. Relationship of baseline major risk factors to coronary and allcause mortality, and to longevity: findings from long-term follow-up of Chicago cohorts. Cardiology. 1993;82:191–222. [PubMed]
29. Stamler J, Rhomberg P, Schoenberger JA, et al. Multivariate analysis of the relationship of seven variables to blood pressure: findings of the Chicago Heart Association Detection Project in Industry, 1967–1972. J Chronic Dis. 1975;28:527–548. [PubMed]
30. The ARIC Investigators. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 1989;129:687–702. [PubMed]
31. Worth RM, Kagan A. Ascertainment of men of Japanese ancestry in Hawaii through World War II Selective Service registration. J Chronic Dis. 1970;23:389–397. [PubMed]
32. Harrison HH, Morgan J. Quality control of screening procedures in the Multiple Risk Factor Intervention Trial. Control Clin Trials. 1986;7(Suppl):91S–108S. [PubMed]
33. Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc. 1958;53:457–481.
34. Lloyd-Jones DM, Larson MG, Leip EP, et al. Lifetime risk for developing congestive heart failure: the Framingham Heart Study. Circulation. 2002;106:3068–3072. [PubMed]
35. Wijeysundera HC, Machado M, Farahati F, et al. Association of temporal trends in risk factors and treatment uptake with coronary heart disease mortality, 1994–2005. JAMA. 2010;303:1841–1847. [PubMed]
36. Lloyd-Jones DM, Dyer AR, Wang R, Daviglus ML, Greenland P. Risk factor burden in middle age and lifetime risks for cardiovascular and non-cardiovascular death (Chicago Heart Association Detection Project in Industry) Am J Cardiol. 2007;99:535–540. [PMC free article] [PubMed]
37. Lloyd-Jones DM, Wilson PWF, Larson MG, et al. Lifetime risk of coronary heart disease by cholesterol levels at selected ages. Arch Intern Med. 2003;163:1966–1972. [PubMed]
38. Carnethon MR, Lynch EB, Dyer AR, et al. Comparison of risk factors for cardiovascular mortality in black and white adults. Arch Intern Med. 2006;166:1196–1202. [PubMed]
39. Hozawa A, Folsom AR, Sharrett AR, Chambless LE. Absolute and attributable risks of cardiovascular disease incidence in relation to optimal and borderline risk factors: comparison of African American with white subjects — Atherosclerosis Risk in Communities Study. Arch Intern Med. 2007;167:573–579. [PubMed]
40. Keil JE, Sutherland SE, Knapp RG, Lackland DT, Gazes PC, Tyroler HA. Mortality rates and risk factors for coronary disease in black as compared with white men and women. N Engl J Med. 1993;329:73–78. [PubMed]
41. Thomas AJ, Eberly LE, Davey Smith G, Neaton JD, Stamler J. Race/ethnicity, income, major risk factors, and cardiovascular disease mortality. Am J Public Health. 2005;95:1417–1423. [PMC free article] [PubMed]
42. Gupta S, Berry JD, Ayers CR, et al. Left ventricular hypertrophy, aortic wall thickness, and lifetime predicted risk of cardiovascular disease: the Dallas Heart Study. JACC Cardiovasc Imaging. 2010;3:605–613. [Erratum, JACC Cardiovasc Imaging 2010;3:795.] [PubMed]
PubReader format: click here to try

Formats:

Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...

Links

  • MedGen
    MedGen
    Related information in MedGen
  • PubMed
    PubMed
    PubMed citations for these articles

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...