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Prevalence and predictors of abnormal cardiovascular responses to exercise testing among individuals with type 2 diabetes: the Look AHEAD (Action for Health in Diabetes) study.
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PMID:  20056948     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: We examined maximal graded exercise test (GXT) results in 5,783 overweight/obese men and women, aged 45-76 years, with type 2 diabetes, who were entering the Look AHEAD (Action for Health in Diabetes) study, to determine the prevalence and correlates of exercise-induced cardiac abnormalities.
RESEARCH DESIGN AND METHODS: Participants underwent symptom-limited maximal GXTs. Questionnaires and physical examinations were used to determine demographic, anthropometric, metabolic, and health status predictors of abnormal GXT results, which were defined as an ST segment depression > or =1.0 mm, ventricular arrhythmia, angina pectoris, poor postexercise heart rate recovery (<22 bpm reduction 2 min after exercise), or maximal exercise capacity less than 5.0 METs. Systolic blood pressure response to exercise was examined as a continuous variable, without a threshold to define abnormality.
RESULTS: Exercise-induced abnormalities were present in 1,303 (22.5%) participants, of which 693 (12.0%) consisted of impaired exercise capacity. ST segment depression occurred in 440 (7.6%), abnormal heart rate recovery in 206 (5.0%), angina in 63 (1.1%), and arrhythmia in 41 (0.7%). Of potential predictors, only greater age was associated with increased prevalence of all abnormalities. Other predictors were associated with some, but not all, abnormalities. Systolic blood pressure response decreased with greater age, duration of diabetes, and history of cardiovascular disease.
CONCLUSIONS: We found a high rate of abnormal GXT results despite careful screening for cardiovascular disease symptoms. In this cohort of overweight and obese individuals with type 2 diabetes, greater age most consistently predicted abnormal GXT. Long-term follow-up of these participants will show whether these abnormalities are clinically significant.
Jeffrey M Curtis; Edward S Horton; Judy Bahnson; Edward W Gregg; John M Jakicic; Judith G Regensteiner; Paul M Ribisl; Judith E Soberman; Kerry J Stewart; Mark A Espeland;
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Publication Detail:
Type:  Journal Article     Date:  2010-01-07
Journal Detail:
Title:  Diabetes care     Volume:  33     ISSN:  1935-5548     ISO Abbreviation:  Diabetes Care     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-03-30     Completed Date:  2010-06-24     Revised Date:  2013-05-31    
Medline Journal Info:
Nlm Unique ID:  7805975     Medline TA:  Diabetes Care     Country:  United States    
Other Details:
Languages:  eng     Pagination:  901-7     Citation Subset:  IM    
Diabetes Epidemiology and Clinical Research Section,National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA.
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MeSH Terms
Cardiovascular Diseases / etiology*,  physiopathology*
Cardiovascular System / physiopathology*
Cross-Sectional Studies
Diabetes Mellitus, Type 2 / complications*,  physiopathology*
Exercise Test / methods*
Middle Aged

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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Journal Information
Journal ID (nlm-ta): Diabetes Care
Journal ID (hwp): diacare
Journal ID (pmc): dcare
Journal ID (publisher-id): Diabetes Care
ISSN: 0149-5992
ISSN: 1935-5548
Publisher: American Diabetes Association
Article Information
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© 2010 by the American Diabetes Association.
Received Day: 23 Month: 9 Year: 2009
Accepted Day: 23 Month: 12 Year: 2009
Print publication date: Month: 4 Year: 2010
Electronic publication date: Day: 7 Month: 1 Year: 2010
Volume: 33 Issue: 4
First Page: 901 Last Page: 907
ID: 2845049
PubMed Id: 20056948
Publisher Id: 1787
DOI: 10.2337/dc09-1787

Prevalence and Predictors of Abnormal Cardiovascular Responses to Exercise Testing Among Individuals With Type 2 Diabetes : The Look AHEAD (Action for Health in Diabetes) study
Jeffrey M. Curtis, MD1
Edward S. Horton, MD2
Judy Bahnson, BA3
Edward W. Gregg, PHD4
John M. Jakicic, PHD5
Judith G. Regensteiner, PHD6
Paul M. Ribisl, PHD7
Judith E. Soberman, MD8
Kerry J. Stewart, EDD9
Mark A. Espeland, PHD3
for the Look AHEAD Research Group*
1Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona;
2Joslin Diabetes Center, Boston, Massachusetts;
3Wake Forest University School of Medicine, Winston-Salem, North Carolina;
4Centers for Disease Control and Prevention, Atlanta, Georgia;
5University of Pittsburgh, Pittsburgh, Pennsylvania;
6University of Colorado Denver School of Medicine, Aurora, Colorado;
7Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina;
8University of Tennessee, Memphis, Memphis, Tennessee;
9The Johns Hopkins University, Baltimore, Maryland.
Correspondence: Corresponding author: Jeffrey M. Curtis,
[other] *The Look AHEAD (Action for Health in Diabetes) study investigators, staff, and funding sources can be found in an online appendix at

Cardiovascular disease (CVD) risk factors improve with exercise in individuals with diabetes (1). Similarly, individuals with diabetes who are physically active or have higher fitness levels have reduced CVD incidence and mortality (2,3). Nevertheless, participation in exercise may involve risks for individuals with diabetes because of their high prevalence of CVD, including silent ischemia, and other comorbid conditions (4).

Knowledge about the typical cardiovascular responses to exercise in individuals with type 2 diabetes has come mainly from small clinic-based studies (5) and a few larger studies in the general population (4,6,7). The Look AHEAD (Action for Health in Diabetes) study is a multicenter randomized clinical trial designed to evaluate the long-term effects of an intensive lifestyle intervention program of weight loss and physical activity on morbidity and mortality from CVD in overweight and obese individuals with type 2 diabetes (8). Graded exercise tests (GXTs) with electrocardiographic monitoring were conducted at baseline in 5,783 individuals, providing the largest sample of systematic stress testing ever conducted in individuals with type 2 diabetes. The aims of this analysis are to examine the range of abnormal exercise responses and to examine the degree to which demographic factors, health characteristics, and medication use associate with abnormal exercise responses. Identifying predictors from readily available demographic and clinical data may assist risk stratification before exercise testing or exercise prescription for individuals with diabetes.


This was a cross-sectional analysis of GXTs among individuals screened for participation in the Look AHEAD clinical trial (8). Individuals with previously diagnosed diabetes, aged 45–76 years, with BMI ≥25 kg/m2 (≥27 kg/m2 if using insulin) were recruited. Informed consent was obtained from all participants before screening, consistent with the Declaration of Helsinki and each center's institutional review board guidelines. Participants were excluded if they had baseline A1C ≥11%, resting blood pressure ≥160/100 mmHg, fasting triglycerides ≥600 mg/dl, or factors that might limit their successful participation in an intensive lifestyle intervention focused on weight loss.

Eligibility was determined by a series of clinical visits (Fig. 1). Individuals with a history of recent or significant cardiovascular disease or symptoms (defined in ref. 8) were excluded before exercise testing. Eligible participants underwent a maximal GXT within 3 months of the initial examination.

Immediately before the GXT, a brief physical examination was conducted to assess contraindications to exercise which, if present, disqualified volunteers from further participation. The use of β-blockers was not a study exclusion criterion. However, because heart rate data from participants using β-blockers were not considered informative, these heart rate data are not included in this report. Other data from participants taking β-blockers (e.g., ST segment changes) are included. All GXTs were done before randomization, and the analyses herein include the 5,783 individuals who underwent the GXT, regardless of whether they were ultimately randomized.

Demographic and health status predictors

Full details of the Look AHEAD design and methods (8) and participants (9) are reported elsewhere. Height and weight were measured using standard protocols and were used to calculate BMI (weight in kilograms divided by the square of height in meters). Seated heart rate and blood pressure measurements were obtained after a 5-min rest using an automated Dinamap Monitor Pro 100. Two measurements were obtained and averaged.


The GXT protocol was designed such that most participants would achieve maximal voluntary exertion over ∼8–12 min, in accordance with American College of Sports Medicine recommendations (10). A supine resting 12-lead electrocardiogram (ECG) was first obtained. Each participant started walking on the treadmill at 1.5 mph on a level (0%) grade, and speed was increased gradually by 0.5 mph units until the participant reached a brisk but comfortable self-selected walking speed or 4.0 mph. This self-selected treadmill speed was used for the GXT.

After a brief rest, the GXT was initiated at 0% grade. The speed remained constant while the grade was increased by 1% every minute until voluntary exhaustion or until the participant exhibited or reported signs or symptoms of exercise intolerance, using American College of Sports Medicine criteria (10). During the last 10 s of each exercise stage and at the point of test termination, heart rate was measured from a 12-lead ECG, and rating of perceived exertion (RPE) was obtained using the Borg 15-category scale (10). Under this RPE scale, the participant reports exertion levels along a scale from 6 (no exertion) to 20 (maximal exertion).

Blood pressure was measured during the last 45 s of each even minute exercise stage (i.e., stages 2, 4, and 6) and at the point of test termination. Peak exercise capacity expressed as METs was estimated from treadmill speed and elevation (10). At test termination, the participant was placed in a supine position with heart rate and blood pressure monitored at 2-min intervals for at least 8 min or until the supervising physician indicated that sufficient recovery had occurred. The supervising physician was asked to record any significant ST segment changes, type and frequency of arrhythmias, ECG-determined heart rate, and blood pressure at rest and at specified times during each test.

Definition of abnormal exercise tests

Abnormal GXT results were defined by criteria related to risk of acute exercise-related cardiovascular events or CVD mortality: electrocardiographic changes suggestive of coronary ischemia (ST segment depression of ≥1.0 mm) or ventricular arrhythmias (ventricular fibrillation, ventricular tachycardia, runs of at least three premature ventricular contractions, or exercise-induced bundle branch block), exercise-induced angina, abnormal hemodynamic response (heart rate recovery <22 bpm over 2 min after exercise [11,12]), and impaired exercise capacity (highest achieved workload of <5 METs [3,7]). Because of the lack of a consensus threshold for defining an abnormal systolic blood pressure (SBP) response, this was analyzed as a continuous variable.

Statistical analysis

Logistic regression was used to assess relationships between the prevalence of each abnormality and individual risk factors. The relationships between mean SBP during exercise and risk factors were assessed with ANOVA.


Look AHEAD screened 27,260 potential participants, of whom 5,783 underwent a GXT (Fig. 1) and are described in Table 1. Their mean achieved RPE was 19.3, and the 25th percentile was 19, according to the Borg scale, which indicates that most participants reported being at or very near maximal voluntary effort. Overall, 1,303 (22.5%) tests were abnormal (Fig. 2), and 638 subjects were not randomly assigned into the Look AHEAD trial because of safety concerns due to GXT abnormalities. The most frequent abnormality was impaired exercise capacity (12.0%), followed by ST segment depression (7.6%), heart rate recovery abnormalities (5.0%), exercise-induced angina (1.1%), and ventricular arrhythmias (0.7%).

The bivariate associations between each category of abnormality and predictor variables are shown in Fig. 2 and supplementary Table A1 (available in an online appendix at Age is the only significant predictor of all types of abnormal response. A1C was not associated with any GXT abnormalities.

Greater mean SBP responses were observed for participants who were male, younger, non-Latino, or African American; did not use antihypertensive medications or insulin; and had midrange resting SBP or higher resting diastolic blood pressure (DBP), shorter duration of diabetes, no history of CVD, or BMI <40 kg/m2 (Table 2).

Higher workload was attained by participants who were male, younger, or Latino; were not taking blood pressure medications; had lower baseline SBP, higher baseline DBP, shorter durations of diabetes, no history of CVD, or lower BMI; or did not use insulin (Table 2).


More than one in five (22.5%) Look AHEAD participants had an abnormal GXT despite a prescreening process that excluded anyone who reported CVD symptoms during the previous 3 months or those with any history of several CVD abnormalities. Other studies have sought to determine the prevalence of CVD in individuals with diabetes, using various markers for CVD. In the Milan Study on Atherosclerosis in Diabetes (MiSAD) (4,5), all participants had diabetes and were aged 40–65 years at study entry, and only ST segment changes constituted an abnormal GXT. In MiSAD, 13.2% of the 735 participants had abnormal tests. Although this overall abnormal rate is lower than what we observed, MiSAD had a higher rate of ST segment changes than our population did (7.6%). The Detection of Ischemia in Asymptomatic Diabetics (DIAD) (13) study, which evaluated 522 individuals with type 2 diabetes, who were aged 50–75 years and had no history of CVD, found that 113 (22%) had abnormal adenosine perfusion stress tests. To the extent that these markers approximate true CVD, the prevalence of CVD in middle-aged asymptomatic diabetic adults is likely between 13 and 22%. Our overall rates are consistent with this observation.

Age was the only predictor that showed a consistent association with abnormal tests. Although this is the first description of such a large group of diabetic participants to undergo stress testing, in nondiabetic populations, the association of greater age with GXT abnormalities has been known for several decades (14).

Impaired exercise capacity

Of the participants, 12% were not able to attain a workload of at least 5 METs, with 58% of the abnormal tests due to impaired exercise capacity. Of those who did not achieve at least 5 METs, 73.6% reported a Borg score of at least 19, compared with 83.6% of those who did reach at least 5 METs (P < 0.001). Therefore, motivation may have been a factor in poor exercise capacity for some participants.

Ribisl et al. (15) found that among the 5,145 randomized Look AHEAD participants, greater age, higher BMI, and higher A1C predicted lower exercise capacity. The present analysis, which includes participants not randomized and thus may represent a broader and potentially more generalizable cross-section of the diabetic population, also adds analysis of ECG and blood pressure variables. In contrast to the report of Ribisl et al., the association between A1C and impaired exercise capacity is not present in this larger sample.

Myers et al. (2) showed that in 6,213 men referred for a clinical exercise test, 25.5% failed to achieved a maximal exercise capacity of 5 METs, and those with diabetes had an age-adjusted relative mortality risk from any cause of ∼2.3 (95% CI 1.5–3.5) compared with those who achieved >8 METs. In our study, the lower prevalence (12%) of impaired exercise capacity may be explained in part by population differences. Participants in the study of Myers et al. underwent exercise testing for clinical reasons, which included symptomatic CVD or other conditions for which potential participants in Look AHEAD were excluded before stress testing.

This analysis showed divergent directions of association between SBP and DBP and impaired exercise capacity. These bivariate associations persist in regression models in which SBP and DBP are controlled for each other. Elevated SBP is a well-recognized risk factor for CVD and has been associated with decreased exercise endurance (16). Sufficiently elevated DBP is also a diagnostic criterion for hypertension and is associated with adverse CVD events (17) and ischemia (4). However, in older populations, lower DBP is associated with CVD (18) and is believed to result from decreased compliance of the aorta and its large branches due to atherosclerotic disease (19). Wider pulse pressure has been shown to be a strong predictor of CVD events in older individuals with type 2 diabetes (20). Some younger Look AHEAD participants may be expected to have less central atherosclerotic burden and, hence, better arterial compliance, on the basis of age alone. However, all participants had type 2 diabetes. The clear association of lower DBP with abnormal GXTs in this population suggests that decreased arterial compliance may originate at an earlier age in individuals with diabetes.

ECG changes

ST segment depression of at least 1.0 mm is a recognized threshold for an abnormal ECG response to exercise. This definition provides a sensitivity of 45% and a specificity of 85% for coronary artery disease diagnosed by angiography (21). Factors associated with an increased risk of ST segment depression and ventricular arrhythmia included greater age and lower BMI. Greater age is a known CVD risk factor. The association of lower BMI with ECG changes may be explained by the increased rate of impaired exercise capacity with higher BMI. Those with a lower BMI exercised to a higher level (Table 2), creating a greater cardiac stress, which increased the chance of detecting ST segment changes or arrhythmias.


The recent acknowledgment that diabetes imparts risk of CVD events equivalent to a known history of CVD (22) makes our observed rate of angina seem low (1.1%) for a cohort of individuals with diabetes aged >45 years. However, before the GXT, we excluded potential participants who reported recent angina. The expected rate of angina in this population is unknown. Nevertheless, our data show that even in asymptomatic overweight or obese adults with diabetes who have been carefully screened for cardiovascular symptoms, angina still occurs with maximal stress testing, albeit at a rate of 1.1%.

Hemodynamic response

Abnormal heart rate recovery occurred in 5.0% of participants undergoing stress testing. Many of the predictors of abnormal heart rate recovery we found are known risk factors for CVD (22). Abnormal heart rate recovery was associated with higher BMI. As discussed, those with lower BMI exercised to higher MET levels than those with higher BMI. However, those with higher BMI routinely demonstrate higher workloads for more routine tasks. This higher inherent workload leads to a higher catecholamine state, which causes less difference between baseline and peak exercise heart rate and a slower heart rate recovery after exercise. In fact, our data confirm out this conclusion. Higher BMI was associated with a higher resting and first-stage exercise heart rate and a smaller increase in heart rate from resting to peak exercise (P < 0.001 in each case, data not shown).

Others have proposed that either an exaggerated (23) or a low (7,24) SBP response may reflect underlying cardiovascular abnormalities. The cross-sectional data presented here do not settle the question of whether a larger or smaller SBP response to exercise increases CVD risk. However, because greater age was associated with every category of established abnormality that we examined and greater age was associated with lower SBP response, it is conceivable that a lower SBP response is associated with higher risk of adverse CVD outcomes.

Implications of results on future Look AHEAD study outcomes

Look AHEAD GXT eligibility criteria were adopted for participant safety, given that unsupervised exercise training was part of the study intervention. These tests eliminated 638 potential participants: 11.1% of those reaching the final stage of screening and 49% of those who had abnormal GXT results. These criteria may reduce the rate of the trial's primary end point and the generalizability of the findings.


For the first year of testing, data forms included text fields for “significant ST segment changes” and angina; however, these responses were not required. This approach was changed thereafter to require physicians to indicate the degree of ST depression. Independent reviews by an experienced exercise physiologist and a clinician experienced in GXT were conducted for all tests that included at least 1.0 mm of ST depression and the 405 instances when physicians noted ST depression but did not quantify it. The 180 instances for which these two reviewers disagreed were resolved by a cardiologist independent of Look AHEAD, whose decision was final. We did not have sufficient data to comment on ST segment slope. Full data were not available for the 638 participants who were deemed ineligible for randomization into Look AHEAD by physicians who supervised their GXTs, but whose results are included in this analysis, which may have led to an underestimation of abnormality rates.

Because the present analysis is concerned with baseline data in Look AHEAD, follow-up outcome data on the participants are not available for this report. Those with clinically significant abnormalities were referred to their physicians.

Some clinicians may argue that our definition of abnormal GXT results may more accurately be termed predictors of CVD events or CVD mortality. Whether heart rate recovery and maximal achieved workload should be used to define abnormality or simply be included among a list of risk criteria is certainly open for debate; however, for simplicity, we included these factors in what we termed abnormal.


Among a large cohort of overweight and obese individuals with type 2 diabetes, 22.5% had abnormal stress tests by ECG, angina, heart rate recovery, or exercise capacity criteria despite thorough pretest screening. Diminished exercise capacity is the most common abnormality in this cohort, occurring at nearly twice the rate of any other abnormality. The most consistent risk factor for any type of abnormality is older age, which is even a more consistent risk factor than duration of diabetes or history of CVD. These results support heightened vigilance for CVD in older patients with diabetes. Continued follow-up in these individuals as part of the Look AHEAD study will determine whether any of these abnormalities during exercise testing are accurate predictors of subsequent cardiovascular events.


Clinical trial reg. no. NCT00017953,

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.


J.M.J. is a scientific advisor for UPMC Health Plan and for Free & Clear; he is also a consultant for BodyMedia. No other potential conflicts of interest relevant to this article were reported.

We gratefully acknowledge the participation of the Look AHEAD volunteers and the staff whose dedication made this study possible. We also thank Dr. Victor Froelicher for reviewing disputed ECG tracings.

1. Alam S,Stolinski M,Pentecost C,Boroujerdi MA,Jones RH,Sonksen PH,Umpleby AM. The effect of a six-month exercise program on very low-density lipoprotein apolipoprotein B secretion in type 2 diabetes. J Clin Endocrinol MetabYear: 2004;89:688–69414764782
2. Myers J,Prakash M,Froelicher V,Do D,Partington S,Atwood JE. Exercise capacity and mortality among men referred for exercise testing. N Engl J MedYear: 2002;346:793–80111893790
3. Kokkinos P,Myers J,Nylen E,Panagiotakos DB,Manolis A,Pittaras A,Blackman MR,Jacob-Issac R,Faselis C,Abella J,Singh S. Exercise capacity and all-cause mortality in African American and Caucasian men with type 2 diabetes. Diabetes CareYear: 2009;32:623–62819196898
4. Milan Study on Atherosclerosis and Diabetes (MiSAD) Group.Prevalence of unrecognized silent myocardial ischemia and its association with atherosclerotic risk factors in noninsulin-dependent diabetes mellitus. Am J CardiolYear: 1997;79:134–1399193011
5. Faglia E,Favales F,Calia P,Paleari F,Segalini G,Gamba PL,Rocca A,Musacchio N,Mastropasqua A,Testori G,Rampini P,Moratti F,Braga A,Morabito A. Milan Study on Atherosclerosis and Diabetes (MiSAD).Cardiac events in 735 type 2 diabetic patients who underwent screening for unknown asymptomatic coronary heart disease. Diabetes CareYear: 2002;25:2032–203612401752
6. Gibbons LW,Mitchell TL,Wei M,Blair SN,Cooper KH. Maximal exercise test as a predictor of risk for mortality from coronary heart disease in asymptomatic men. Am J CardiolYear: 2000;86:53–5810867092
7. Wolthuis RA,Froelicher VF Jr,Fischer J,Triebwasser JH. The response of healthy men to treadmill exercise. CirculationYear: 1977;55:153–157830206
8. Look AHEAD Research GroupLook AHEAD (Action for Health in Diabetes): design and methods for a clinical trial of weight loss for the prevention of cardiovascular disease in type 2 diabetes. Control Clin TrialsYear: 2003;24:610–62814500058
9. The Look AHEAD Research GroupBaseline characteristics of the randomized cohort from the Look AHEAD (Action for Health in Diabetes) research study. Diabetes Vasc Dis ResYear: 2006;3:202–215
10. American College of Sports MedicineACSM's Guidelines for Exercise Testing and Prescription7th ed.Baltimore, Lippincott Williams & Wilkins, Year: 2006
11. Shetler K,Marcus R,Froelicher VF,Vora S,Kalisetti D,Prakash M,Do D,Myers J. Heart rate recovery: validation and methodologic issues. J Am Coll CardiolYear: 2001;38:1980–198711738304
12. Georgoulias P,Demakopoulos N,Valotassiou V,Orfanakis A,Zaganides A,Tsougos I,Fezoulidis I. Long-term prognostic value of heart-rate recovery after treadmill testing in patients with diabetes mellitus. Int J CardiolYear: 2009;134:67–7418499284
13. Wackers FJ,Young LH,Inzucchi SE,Chyun DA,Davey JA,Barrett EJ,Taillefer R,Wittlin SD,Heller GV,Filipchuk N,Engel S,Ratner RE,Iskandrian AE. Detection of Ischemia in Asymptomatic Diabetics (DIAD) Investigators.Detection of silent myocardial ischemia in asymptomatic diabetic subjects: the DIAD study. Diabetes CareYear: 2004;27:1964–1961
14. Gordon DJ,Probstfield JL,Rubenstein C,Bremner WF,Leon AS,Karon JM,Third J,Bryan H,Schwartz L,Insull W,Sheffield LT. Coronary risk factors and exercise test performance in asymptomatic hypercholesterolemic men: application of proportional hazards analysis. Am J EpidemiolYear: 1984;120:210–2246465119
15. Ribisl PM,Lang W,Jaramillo SA,Jakicic JM,Stewart KJ,Bahnson J,Bright R,Curtis JF,Crow RS,Soberman JE. Look AHEAD Research Group.Exercise capacity and cardiovascular/metabolic characteristics of overweight and obese individuals with type 2 diabetes. Diabetes CareYear: 2007;30:2679–268417644623
16. Abbott RD,Levy D,Kannel WB,Castelli WP,Wilson PW,Garrison RJ,Stokes J 3rd. Cardiovascular risk factors and graded treadmill exercise endurance in healthy adults: the Framingham Offspring Study. Am J CardiolYear: 1989;63:342–3462913738
17. Mosley WJ 2nd,Greenland P,Garside DB,Lloyd-Jones DM. Predictive utility of pulse pressure and other blood pressure measures for cardiovascular outcomes. HypertensionYear: 2007;49:1256–126417420336
18. Haider AW,Larson MG,Franklin SS,Levy D. Systolic blood pressure, diastolic blood pressure, and pulse pressure as predictors of risk for congestive heart failure in the Framingham Heart Study. Ann Intern MedYear: 2003;138:10–1612513039
19. Dart AM,Kingwell BA. Pulse pressure—a review of mechanisms and clinical relevance. J Am Coll CardiolYear: 2001;37:975–8411263624
20. Kengne AP,Czernichow S,Huxley R,Grobbee D,Woodward M,Neal B,Zoungas S,Cooper M,Glasziou P,Hamet P,Harrap SB,Mancia G,Poulter N,Williams B,Chalmers J. ADVANCE Collaborative GroupBlood pressure variables and cardiovascular risk: new findings from ADVANCE. HypertensionYear: 2009;54:399–40419470869
21. Froelicher VF,Lehmann KG,Thomas R,Goldman S,Morrison D,Edson R,Lavori P,Myers J,Dennis C,Shabetai R,Do D,Froning J. Veterans Affairs Cooperative Study in Health Services #016 (QUEXTA) Study Group.The electrocardiographic exercise test in a population with reduced workup bias: diagnostic performance, computerized interpretation, and multivariable prediction. Ann Intern MedYear: 1998;128:965–9749625682
22. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III).Third report of the National Cholesterol Education Program (NCEP) Expert Panel on the Detection, Education, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. CirculationYear: 2002;106:3143–342112485966
23. Stewart KJ,Sung J,Silber HA,Fleg JL,Kelemen MD,Turner KL,Bacher AC,Dobrosielski DA,DeRegis JR,Shapiro EP,Ouyang P. Exaggerated exercise blood pressure is related to impaired endothelial vasodilator function. Am J HypertensYear: 2004;17:314–32015062884
24. Morrow K,Morris CK,Froelicher VF,Hideg A,Hunter D,Johnson E,Kawaguchi T,Lehmann K,Ribisl PM,Thomas R,Ueshima K,Froelicher E,Wallis J. Prediction of cardiovascular death in men undergoing noninvasive evaluation for coronary artery disease. Ann Intern MedYear: 1993;118:689–6958460854


[Figure ID: F1]
Figure 1 

Study entry flow diagram. Participants included in the present analysis were the 5,783 individuals seen in screening visit 3.

[Figure ID: F2]
Figure 2 

Number or prevalence (%) of abnormal test prevalence by predictor variables. A: Number of abnormal tests. B: Abnormal test prevalence (%) by sex: ■, men; □, women. C: Abnormal test prevalence (%) by age: ■, 45–54 years; ▤, 55–64 years; □, 65–75 years. D: Abnormal test prevalence (%) by ethnicity: ■, Latino; □, not Latino. E: Abnormal test prevalence (%) by race: ■, African American; ▤, American Indian; □, white; ▧, other/multiracial/unknown. F: Abnormal test prevalence (%) by use of blood pressure medicines: ■, yes; □, no. G: Abnormal test prevalence (%) by systolic blood pressure: ■, <120 mmHg; ▤, 120–129 mmHg; □, 130–139 mmHg; ▧, 140–149 mmHg; , 150–159 mmHg. H: Abnormal test prevalence (%) by diastolic blood pressure: ■, <70 mmHg; ▤, 70–84 mmHg; □, at least 85 mmHg. I: Abnormal test prevalence (%) by years with diabetes: ■, <5 years; ▤, 5 to <10 years; □, at least 10 years. J: Abnormal test prevalence (%) by cardiovascular disease history: ■, yes; □, no. K: Abnormal test prevalence (%) by BMI: ■, 25 to <30 kg/m2; ▤, 30 to <35 kg/m2; □, 35 to <40 kg/m2; ▧, at least 40 kg/m2. L: Abnormal test prevalence (%) by use of insulin: ■, yes; □, no. *P < 0.05. Ang, Exercise-induced angina; Arr, ventricular arrhythmia (ventricular fibrillation, ventricular tachycardia, runs of at least three premature ventricular beats, or exercise-induced bundle branch block); Any, any abnormality from among those listed; Ex C, impaired exercise capacity (highest achieved workload of <5.0 METs; HRR, heart rate recovery of <22 bpm over 2 min after exercise; ST, ST segment depression of at least 1.0 mm.

[TableWrap ID: T1] Table 1 

Characteristics of cohort receiving baseline GXT

Sex and age
    Female 3,441 (59.5)
        45–54 years 903 (26.2)
        55–64 years 1,907 (55.4)
        65–76 years 631 (18.3)
    Male 2,342 (40.5)
        45–54 years 404 (17.2)
        55–64 years 1,301 (55.6)
        65–76 years 637 (27.2)
Race and ethnicity*
    Latino 731 (12.6)
        African American 6 (0.8)
        American Indian 2 (0.3)
        White 214 (29.3)
        Other/multiracial/unknown 509 (69.6)
    Not Latino 4,994 (86.4)
        African American 914 (18.3)
        American Indian 308 (6.2)
        White 3,569 (71.5)
        Other/multiracial/unknown 203 (4.1)
BMI (kg/m2)
    25 to <30 821 (14.2)
    30 to <35 2,008 (34.8)
    35 to <40 1,618 (28.1)
    ≥40 1,319 (22.9)
A1C (%)
    <7.0 3,118 (54.1)
    7.0–8.9 2,133 (37.0)
    9.0–10.9 513 (8.9)
Insulin use
    No 4,839 (83.7)
    Yes 944 (16.3)
Time with diabetes (years)§
    <5 2,545 (44.4)
    5 to <10 1,558 (27.2)
    ≥10 1,634 (28.5)
CVD history
    No 5,013 (86.7)
    Yes 770 (13.3)
SBP (mmHg)
    <120 1,632 (28.2)
    120 to <130 1,198 (20.7)
    130 to <140 1,264 (21.9)
    140 to <150 1,026 (17.7)
    150 to <160 663 (11.5)
DBP (mmHg)
    <70 2,762 (47.8)
    70–84 2,618 (45.3)
    ≥85 403 (7.0)
Use of blood pressure medication
    No 1,969 (34.0)
    Yes 3,814 (66.0)
    No 638 (11.0)
    Yes 5,145 (89.0)

Data are n (%).

TF1-1*Ethnicity is missing for 58 participants because of a change in how it was recorded.

TF1-2†BMI is missing for 17 participants.

TF1-3‡Mean ± SD A1C is 7.10 ± 1.32% (missing from 17 participants).

TF1-4§Self-report (missing from one participant).

TF1-5‖Self-report of prior heart attack, stroke, transient ischemia attack, bypass surgery, angioplasty, endarterectomy, congestive heart failure, or stent.

[TableWrap ID: T2] Table 2 

Systolic blood pressure response (maximum minus pretest resting) and maximum METs among risk factor subgroups

SBP response P Maximum METs P
    Female 55.1 ± 23.5 <0.001 6.7 ± 1.9 <0.001
    Male 58.9 ± 23.6 7.9 ± 2.2
Age (years)
    45 to <55 58.1 ± 22.4 <0.001 7.9 ± 2.1 <0.001
    55 to <65 57.6 ± 23.9 7.3 ± 2.1
    65 to <76 52.6 ± 23.6 6.4 ± 1.9
    Latino 54.2 ± 22.6 0.003 7.9 ± 2.1 <0.001
    Not Latino 57.0 ± 23.7 7.1 ± 2.1
    African American 59.8 ± 24.2 <0.001 6.7 ± 2.0 <0.001
    American Indian 43.9 ± 18.8 7.0 ± 2.1
    White 56.9 ± 23.6 7.2 ± 2.1
    Other/multiracial/unknown 56.9 ± 22.8 8.1 ± 2.2
Use of blood pressure medications
    Yes 55.9 ± 23.8 0.002 7.0 ± 2.0 <0.001
    No 57.9 ± 23.2 7.6 ± 2.3
SBP (mmHg)
    <120 56.0 ± 22.7 0.01 7.5 ± 2.1 <0.001
    120–129 58.3 ± 23.5 7.3 ± 2.1
    130–139 57.3 ± 24.0 7.1 ± 2.1
    140–149 55.6 ± 23.6 7.0 ± 2.1
    150–159 55.1 ± 25.2 6.8 ± 2.0
DBP (mmHg)
    <70 55.3 ± 24.1 <0.001 6.9 ± 2.0 <0.001
    70–84 57.5 ± 23.1 7.4 ± 2.1
    ≥85 60.0 ± 23.2 7.8 ± 2.2
Years with diabetes
    <5 57.8 ± 22.8 <0.001 7.4 ± 2.1 <0.001
    5–9 57.3 ± 23.7 7.2 ± 2.1
    ≥10 54.0 ± 24.5 6.8 ± 2.1
CVD history
    Yes 50.9 ± 24.2 <0.001 6.7 ± 2.0 <0.001
    No 57.5 ± 23.4 7.3 ± 2.1
BMI (kg/m2)
    25 to <30 57.2 ± 22.9 <0.001 8.4 ± 2.4 <0.001
    30 to <35 57.6 ± 23.1 7.8 ± 2.0
    35 to <40 57.5 ± 23.4 6.9 ± 1.8
    ≥40 53.8 ± 24.8 5.9 ± 1.5
Insulin use
    Yes 54.4 ± 24.9 0.002 6.6 ± 2.0 <0.001
    No 57.0 ± 23.3 7.3 ± 2.1
A1C (%)
    <7.0 57.0 ± 22.9 0.39 7.2 ± 2.1 0.35
    7.0–8.9 56.3 ± 24.5 7.2 ± 2.1
    9.0–10.9 55.8 ± 23.9 7.2 ± 2.0

Data are means ± SD. No covariate adjustments have been made.

Article Categories:
  • Original Research
    • Cardiovascular and Metabolic Risk

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