Advertisement
Journal Home
Search for

Volume 97, Issue 9, Pages 1267-1273 (1 May 2006)


View previous. 2 of 29 View next.

Comparison of Coronary Risk Factors and Quality of Life in Coronary Artery Disease Patients With Versus Without Diabetes Mellitus

Claudia R. Pischke, MAa, Gerdi Weidner, PhDaCorresponding Author Informationemail address, Melanie Elliott-Eller, RN, MSNa, Larry Scherwitz, PhDb, Terri A. Merritt-Worden, MSb, Ruth Marlin, MDa, Lee Lipsenthal, MDa, Robert Finkel, DPEc, Donald Saunders, MDd, Patty McCormac, RNa, Judith M. Scheer, MPH, RNe, Richard E. Collins, MDf, Erminia M. Guarneri, MDg, Dean Ornish, MDa

Received 22 July 2005; received in revised form 15 November 2005; accepted 15 November 2005. published online 13 March 2006.

It is unclear whether patients with coronary artery disease (CAD) and diabetes mellitus (DM) can make comprehensive lifestyle changes that produce similar changes in coronary risk factors and quality of life compared with patients with CAD and without DM. We examined medical characteristics, lifestyle, and quality of life by diabetic status and gender in the Multicenter Lifestyle Demonstration Project (MLDP), a study of 440 nonsmoking patients with CAD (347 men, 55 with DM; 15.9%; 93 women, 36 with DM; 38.7%). Patients met in groups to improve lifestyle (plant-based, low-fat diet; exercise; stress management) for 1 year. Follow-ups were conducted at 3 and 12 months. At baseline, body mass and systolic blood pressure were significantly higher among patients with DM. Men with DM had a worse medical history (e.g., hypertension, hyperlipidemia, and family history of CAD) than did those without DM. Patients with DM, especially women, reported poorer quality of life than did patients without DM. The 2 groups of patients were able to adhere to the recommended lifestyle, as demonstrated by significant improvements in weight (mean −5 kg), body fat, low-density lipoprotein cholesterol, exercise capacity, and quality of life. No significant changes in triglycerides and high-density lipoprotein cholesterol were noted. By the end of 12 months, improvements in glucose-lowering medications (i.e., discontinuation or a change from insulin to oral hypoglycemic agents) were noted for 19.8% (n = 18) of patients with DM. In conclusion, patients with CAD and DM are able to follow a comprehensive lifestyle change program and show similar improvements in coronary risk factors and quality of life as those without DM.

Article Outline

Abstract

Methods

Design, recruitment, and procedure of the MLDP

Subjects

Measurements

Intervention: the Lifestyle Change Program

Adherence to the Lifestyle Change Program

Statistical analysis

Results

Baseline characteristics

Participant characteristics at follow-ups

Participants lost to follow-up

Discussion

Acknowledgment

References

Copyright

This investigation examined whether patients with coronary artery disease (CAD) and diabetes mellitus (DM) are able to make more intensive changes in diet and lifestyle and show similar improvements in clinical risk factors and quality of life compared with patients with CAD and without DM. To address this question, we compared data from men and women with CAD and DM (predominantly type 2) with those without DM. All patients participated in the Multicenter Lifestyle Demonstration Project (MLDP),1, 2 a multicomponent lifestyle intervention that emphasizes exercise, diet, and stress management (which was found to be especially beneficial for patients with DM3, 4).

Methods 

return to Article Outline

Design, recruitment, and procedure of the MLDP 

The main aim of the MLDP was to examine whether patients can avoid revascularization by making comprehensive lifestyle changes without increasing cardiac events. Patients were classified into group 1 or group 2. Those in group 1 had angiographically documented CAD that was severe enough to warrant revascularization (by insurance coverage policy standards) at study entry but opted for lifestyle changes instead (deemed medically safe). Control group patients, who were matched to group 1 patients by procedure eligibility, age, gender, left ventricular ejection fraction, and cardiac score,2 were provided by Mutual of Omaha Insurance Company’s database (Omaha, Nebraska). Comparisons between the intervention and control groups indicated that 77% of the intervention group were able to avoid revascularization for ≥3 years by making comprehensive lifestyle changes without increasing cardiac events.2 Group 2 consisted of patients who had previous coronary artery bypass grafting or percutaneous transluminal coronary angioplasty, were in stable condition, and received the intervention. The focus of this study was on the intervention groups, as only events were monitored in the control group. The size of the intervention group allowed stratification by DM status. For more detail on the MLDP, see Koertge et al1 and Ornish.2

A program staff member contacted potential participants after referral to the program by their physicians or by self-referral as a result of local media publicity. Eligible patients (determined by interview) were sent a description of data collection activities, a release form for medical records, and a medical history questionnaire (including medications). A baseline physical assessment (anthropometrics) was completed during the interview. A second interview was scheduled with the hospital team after the intake interview and records review; this included administration of psychosocial and behavioral questionnaires, instructions for completion of a 3-day diet diary, a blood draw for a baseline lipid profile, and a treadmill exercise stress test. Medical and behavioral variables and quality of life were reassessed at 3 and 12 months.

Subjects 

The protocol was approved by the committee on the protection of rights of human subjects and written informed consent was obtained from participants. The sample consisted of 440 subjects with CAD (347 men, 55 with DM; 15.9%; 93 women, 36 with DM; 38.7%) who participated in the intervention arm of the MLDP. The group with DM included 3 men (0.9% of the male sample) and 6 women (6.5% of the female sample) with type 1 DM. Eligibility criteria for study participation have been reported previously.1, 2 Briefly, patients did not smoke, had a diagnosis of CAD, and a history of coronary artery bypass surgery or percutaneous transluminal coronary angioplasty.1

Measurements 

History of hypertension, hyperlipidemia, myocardial infarction, chest pain, cerebrovascular accident, DM, revascularization procedures, and familial CAD were assessed. Patients were classified as having type 1 or type 2 DM according to guidelines of the American Diabetes Association.5 Medical variables, including height, weight, percent body fat (skin fold measurement), blood pressure,6 angina pectoris,7 plasma lipids and lipoproteins, and exercise capacity (i.e., functional capacity as assessed by symptom-limited maximal graded exercise testing using the Bruce protocol8) were assessed at baseline and at 3 and 12 months. METs, a measurement of energy expenditure, were automatically calculated by the testing device during exercise testing (1 MET = ∼3.5 mg of oxygen consumed per minute per kilogram of body weight).8 Diet assessment was based on a 3-day food diary.9 Currently prescribed medications were documented at baseline and at each follow-up. Types of medication included antihypertensives (e.g., angiotensin-converting enzyme inhibitors), vasodilators (e.g., nitrates), serum glucose-lowering agents (regular insulin or oral hypoglycemic agents, such as glipizide [Glucotrol, Pfizer, Inc., New York, New York], glyburide [Micronase, DiaBeta, Pharmacia Upjohn, Kalamazoo, Michigan], tolbutamide [Orinase, Pharmacia Upjohn], metformin [Glucophage, Bristol-Myers Squibb Company, New York, New York]) antilipemics, and antiarrhythmics. Quality of life was assessed by the Medical Outcomes Study 36-item short-form health survey (MOS SF-36) at baseline and at 3 and 12 months.10 To summarize the physical and mental components of the MOS SF-36, 2 aggregate scores were computed.11 Higher scores on the survey reflect better quality of life. Validity and reliability information of the MOS SF-36 and its summary scores have been previously reported.12, 13

Intervention: the Lifestyle Change Program 

The program began with a 12-hour orientation seminar at the hospital that was offered over 2 to 3 days and consisted of scientific lectures and demonstrations (e.g., cooking). Patients then attended sessions in groups 3 times per week for 12 weeks. Two of the 3 weekly sessions focused on the program components in 1-hour blocks. The third weekly session consisted of a 1-hour aerobic exercise session (e.g., on treadmills) and 1-hour lectures that were designed to facilitate long-term adherence to the program. Patients continued to meet in groups weekly for the next 40 weeks. In addition, they were instructed to exercise and practice stress management on their own (also see Koertge et al,1 Ornish,14 and Billings15).

Adherence to the Lifestyle Change Program 

Diet was measured as percent calories from fat (based on 3-day food diary, goal 10%), exercise as hours per week (according to guidelines of the American College of Sports Medicine,8 goal 3 hours/week), stress management as hours per week (goal 1 hour/day), and attendance of the intervention group as the number of sessions attended divided by the number of sessions offered.

Statistical analysis 

Comparisons of group differences (presence/absence of DM, first-year graduate vs drop-out) in baseline demographic, clinical, risk factor, and psychosocial variables were performed with 2-sample t tests (for continuous variables) and chi-square tests (for categorical variables) for men and women separately. Analyses of variance for repeated measures with 2 between factors (gender and DM status) and 1 within factor at 3 levels (time: baseline, 3 months, and 1 year) were computed to test for the effects of gender, DM, time, and their interactions on coronary risk factors, lifestyle behaviors, and quality of life. To control for unequal numbers in the analyses, analyses of variance for repeated measures with unweighted sums of squares were computed.16, 17, 18 Bonferroni’s adjustments were made for comparisons across baseline, 3 months, and 12 months.18 However, because the 10 medical outcomes are highly correlated (e.g., cholesterol and low-density lipoprotein, systolic and diastolic blood pressures), adjustments for multiple measurements were applied as follows: we computed a p value midway between the nominal p value of the variable under consideration and the p value that was adjusted for all 10 outcomes (K) ([nominal p +Kp]/2). Resulting nonsignificant findings are listed in Table 1. All analyses were preformed with and without data from the 9 patients with type 1 DM; no significant differences emerged, so results are reported on the entire sample. SPSS 10.1 (SPSS, Inc., Chicago, Illinois) was used to perform statistical analysis.

Table 1.

Medical risk factors, adherence to lifestyle intervention, and quality of life of patients with complete data at baseline and at three and 12 months by diabetic status and gender

MeasurementDM StatusBaseline3 Months12 Monthsp Value
TimeDM StatusGender
Body weight (kg)Diabetic men95.3±18.9(43)a90.9±16.7b89.9±15.6b<0.001<0.01<0.001
Nondiabetic men85.7±15.8(220)a81.3±13.3b81.0±13.1b
Diabetic women80.3±17.4(21)a76.4±16.3b75.2±15.5b
Nondiabetic women75.5±17.7(43)a70.6±16.2b69.7±16.3b
Body fat (%)Diabetic men24.6±6.8(40)a21.9±6.4b20.7±6.3b<0.0010.158<0.001
Nondiabetic men22.3±5.8(195)a19.4±5.0b18.8±5.2b
Diabetic women35.4±6.1(17)a31.1±7.5b30.4±7.1b
Nondiabetic women34.9±5.5(37)a31.8±5.6b30.5±5.8b
Systolic blood pressure (mm Hg)Diabetic men137±19(40)a132±19a134±21a0.7950.1310.735
Nondiabetic men131±18(165)a126±18a128±18a
Diabetic women132±15(18)a129±16a132±20a
Nondiabetic women136±20(33)a129±19a134±16a
Diastolic blood pressure (mm Hg)Diabetic men80±10(40)a74±9b75±11b<0.03§<0.02§0.900
Nondiabetic men79±10(164)a74±11b76±10b
Diabetic women77±11(18)a72±14b72±10b
Nondiabetic women81±8(33)a77±10b78±11b
Heart rate at rest (beats/min)Diabetic men73±14(38)a69±13b72±13a<0.001<0.05§<0.01
Nondiabetic men68±13(178)a64±11b67±12a
Diabetic women77±11(19)a73±14b77±12a
Nondiabetic women76±14(33)a71±14b73±12a
Total serum cholesterol (mg/dl)Diabetic men199±55(41)a177±69b171±37b0.0520.704<0.01
Nondiabetic men195±57(207)a177±55b180±37b
Diabetic women210±33(20)a204±43b192±41b
Nondiabetic women222±42(40)a204±39b204±44b
Low-density lipoprotein cholesterol (mg/dl)Diabetic men116±37(35)a97±32b95±27b<0.010.401<0.05§
Nondiabetic men121±48(193)a101±41b105±34b
Diabetic women125±31(19)a115±35b101±23b
Nondiabetic women135±40(39)a115±39b116±36b
High-density lipoprotein cholesterol (mg/dl)Diabetic men35±12(38)a31±9b34±9a,b0.1220.162<0.001
Nondiabetic men35±10(198)a31±8b34±9a,b
Diabetic women41±10(20)a38±10b41±12a,b
Nondiabetic women47±13(40)a43±16b47±15a,b
Triglycerides (mg/dl)Diabetic men321±488(41)a277±251a280±359a0.8040.1770.409
Nondiabetic men213±158(204)a230±166a222±129a
Diabetic women240±155(20)a262±151a248±176a
Nondiabetic women202±83(40)a244±173a208±97a
Exercise capacity (METs; ml O2/min/kg)Diabetic men8.8±2.8(37)a10.8±2.7b10.8±2.4b<0.001<0.01<0.001
Nondiabetic men10.4±2.9(180)a11.9±2.6b12.5±2.8b
Diabetic women6.9±2.1(20)a8.4±2.6b8.5±2.8b
Nondiabetic women8.3±2.8(33)a9.0±2.9b10.0±3.0b
Diet (% calories from fat)Diabetic men14.2±7.8(38)a6.5±2.1b6.4±2.8b<0.001<0.04<0.001
Nondiabetic men12.6±7.8(172)a6.2±2.3b6.2±2.6b
Diabetic women19±7.7(20)a7.1±2.1b8.9±5.3b
Nondiabetic women15.9±8.7(33)a6.8±2.5b7.1±3.3b
Exercise (h/wk)Diabetic men1.8±1.7(44)a4.0±3.3b3.8±2.5b<0.0010.500<0.001
Nondiabetic men2.4±2.0(217)a4.1±2.1b3.6±2.1b
Diabetic women1.1±1.1(28)a3.0±1.3b2.8±1.4b
Nondiabetic women1.6±1.5(46)a3.3±1.5b3.0±1.7b
Stress management (h/wk)Diabetic men0.5±1.3(45)a5.5±2.4b4.6±2.6b<0.001<0.020.317
Nondiabetic men0.5±1.3(218)a5.6±2.5b4.8±2.9b
Diabetic women0.3±0.7(28)a4.9±2.7b3.5±2.8b
Nondiabetic women0.6±1.1(46)a5.7±2.2b5.1±2.5b
Intervention group (% attendance)Diabetic men 0.93±0.08(51)a080±0.19b<0.0010.570<0.03
Nondiabetic men 0.93±0.10(272)a0.78±0.20b
Diabetic women 0.89±0.13(33)a0.71±0.21b
Nondiabetic women 0.92±0.10(54)a0.76±0.23b
MOS SF-36
Physical healthDiabetic men43.6±8.6(42)a48.2±8.2b48.5±7.7b<0.001<0.01<0.02
Nondiabetic men48.6±9.1(211)a51.8±7.5b52.9±7.3b
Diabetic women41.7±8.1(23)a47.5±7.3b46.8±6.3b
Nondiabetic women43.3±9.6(43)a47.7±8.8b50.6±7.9b
Mental healthDiabetic men46.5±12.1(42)a50.3±9.2b51.8±10.1b<0.001<0.010.053
Nondiabetic men48.4±10.3(211)a52.9±8.8b52.1±9.7b
Diabetic women40.0±10.1(23)a47.4±10.5b46.2±12.5b
Nondiabetic women47.5±9.7(43)a54.4±8.9b52.0±9.2b

Analyses of variance for repeated measures with 2 between factors (gender and DM status) and 1 within factor (time: baseline, 3 months, and 1 year). Values are means ± SDs numbers of patients. Means in the same row that do not share superscript letters indicate significant changes over time (p <0.05).

Winsorizing statistical outliers (i.e., replacing values ± 3 SDs of the mean with “most extreme acceptable values” in the distribution of this variable) did not yield significantly different results.

Scores were standardized to have a mean of 50 and an SD of 10 based on a 1998 representative sample of the general United States population.

§

Adjustments for multiple medical outcomes rendered this finding nonsignificant. After adjusting for multiple medical outcomes, only 1 significant 2-way interaction remained that involved time and DM on heart rate at rest. Two additional significant 2-way interactions could be found: 1 2-way interaction involving gender and DM on mental health and 1 2-way interaction involving the effects of gender and time on dietary fat. These effects indicated lowest heart rates among patients without DM at 1 year and lowest mental health scores among women with DM. The highest fat intake was observed among women at baseline.

Results 

return to Article Outline

Baseline characteristics 

Baseline characteristics are presented in Table 2, Table 3. Patients with DM did not differ from patients without DM in age, education, marital status, and spousal support. Patients with DM were less likely to be employed outside the home than were patients without DM. Men (but not women) with DM were more likely to have a history of hypertension, hyperlipidemia, and angina pectoris during the previous 30 days than were men without DM. Among men, body mass index, body weight, systolic blood pressure, and heart rate at rest were significantly higher among those with DM than among those without DM. Women with DM weighed more than did women without DM. Men and women with DM had lower METs than did those without DM. Patients with DM did not differ from patients without DM in diastolic blood pressure and plasma lipids. Men and women with DM reported an overall lower quality of life than did those without DM. There were no significant group differences in health behaviors, except that patients with DM exercised significantly less than did their counterparts without DM. Men and women with DM were significantly more often prescribed nitrates than were those without DM. Further, men with DM were more often prescribed angiotensin-converting enzyme inhibitors and calcium channel blockers than were those without DM. The same pattern of prescription was observed for angiotensin-converting enzyme inhibitors among women, but not for calcium channel blockers (for serum glucose-lowering agents at baseline and follow-up in patients with DM, see Table 4).

Table 2.

Demographic and medical characteristics at baseline

VariableDiabetic Men (n = 55)Nondiabetic Men (n = 286)p ValueDiabetic Women (n = 36)Nondiabetic Women (n = 57)p Value
Age (yrs)59±1058±110.5458±1160±100.19
Education (yrs)16±316±30.6815±315±30.44
Married or cohabitating47(85%)253(88%)0.9823(64%)35(61%)0.10
Employed outside the home33(60%)202(70%)<0.0511(31%)31(54%)0.06
Spousal participation30(55%)138(48%)0.078(22%)15(26%)0.87
Family history of CAD40(73%)156(54%)0.0823(66%)35(61%)0.38
Previous cigarette smoker40(73%)199(69%)0.7019(53%)33(58%)0.63
Systemic hypertension41(75%)121(42%)<0.0123(64%)29(51%)0.38
Hyperlipidemia36(66%)170(59%)<0.0124(67%)42(74%)0.70
Previous myocardial infarction24(44%)157(54%)0.3617(47%)37(65%)0.09
Previous coronary angioplasty20(36%)137(47%)0.1021(58%)26(46%)0.23
Previous coronary bypass31(56%)139(48%)0.5214(39%)17(30%)0.37
Angina pectoris (during past 30 d)34(63%)110(38%)<0.0117(47%)32(56%)0.40
Medication
Nitrates22(40%)76(26%)<0.0518(50%)15(26%)<0.05
β Blockers23(42%)145(50%)0.1920(56%)25(44%)0.27
Angiotensin-converting enzyme inhibitors21(38%)49(17%)<0.0110(28%)11(19%)0.34
Calcium antagonists35(64%)124(43%)<0.0523(64%)37(65%)0.92
Diuretics8(15%)22(8%)0.2211(31%)12(21%)0.30
Antihypertensives5(9%)13(5%)0.351(3%)1(2%)0.74
Lipid-lowering therapy30(55%)149(51%)0.3116(44%)36(63%)0.08

Family history of CAD was considered positive if a male (<60 years of age) or female (<70 years of age) first-degree relative had CAD, myocardial infarction, or a cerebrovascular accident.

Hyperlipidemia was defined as a low-density lipoprotein cholesterol level >100 mg/dl, a high-density lipoprotein cholesterol level ≤35 mg/dl, or a triglyceride level ≥200 mg/dl (National Cholesterol Education Program guidelines, Adult Treatment Panel II for individuals with established coronary heart disease).

Table 3.

Medical risk factors, lifestyle behavior, and quality of life at baseline

VariableDiabetic Men (n = 55)Nondiabetic Men (n = 286)p ValueDiabetic Women (n = 36)Nondiabetic Women (n = 57)p Value
Systolic blood pressure (mm Hg)139±21130±19<0.01135±19135±190.98
Diastolic blood pressure (mm Hg)81±1079±100.3377±1079±100.34
Heart rate at rest (beats/min)73±1468±12<0.0578±1273±140.09
Body mass index (kg/m2)30.5±5.827.3±5.2<0.0130.7±5.528.8±7.10.19
Body weight (kg)92.8±18.086.1±15.6<0.0181.6±16.873.5±16.8<0.05
Body fat (%)24.5±722.8±5.90.0734.7±6.334.2±5.60.72
Total serum cholesterol (mg/dl)197±52195±540.84214±41226±480.24
Low-density lipoprotein cholesterol (mg/dl)114±38119±460.50133±36138±440.63
High-density lipoprotein cholesterol (mg/dl)35±1135±100.9443±1245±120.50
Triglycerides (mg/dl)244±142216±1560.23228±140217±930.66
Exercise capacity (METs; ml O2/min/kg)8.7±2.910.2±2.9<0.016.7±1.98.1±2.4<0.01
Diet (% calories from fat)14.4±8.312.9±8.40.2617.8±7.816.4±9.40.50
Exercise (h/wk)1.7±1.72.4±2.2<0.051±1.11.7±1.5<0.05
Stress management (h/wk)0.5±1.30.5±1.30.690.37±0.780.83±1.50.10
MOS SF-36: physical health43.1±9.048.3±8.9<0.0139.4±8.544.0±9.5<0.05
MOS SF-36: mental health46.5±11.448.1±10.10.3243.0±10.347.7±9.7<0.05

Scores were standardized to have a mean of 50 and an SD of 10 based on a 1998 representative sample of the general United States population.

Table 4.

Changes in glucose-lowering regimen from baseline to one year among patients with diabetes mellitus (n = 91)

ChangesBaseline1 Year
No change: 62(68.1%)
16(17.6%)No medication, insulin levels controlled by dietNo medication, insulin levels controlled by diet
25(27.5%)InsulinInsulin
21(23.1%)Oral antiglycemicOral antiglycemic
Improvement: 18(20%)
1InsulinDiscontinued insulin without adopting another medical regimen
6InsulinOral antiglycemic
11Oral antiglycemicDiscontinued oral antiglycemic without adopting another regimen
Worsening: 6(6.6%)
1Oral antiglycemicInsulin
1No medicationInsulin
4No MedicationOral antiglycemic

Five patients with DM (5.4%) dropped out by the 1-year follow-up; 2 were on an insulin regimen, 2 on an oral antiglycemic agent, and 1 was not medicated at baseline.

Participant characteristics at follow-ups 

Measurements of anthropometric and medical variables, adherence to the program, and quality of life of patients with complete data at all time points are presented in Table 1. Regardless of gender or DM, all patients lost a significant amount of weight and body fat, significantly lowered their heart rates and levels of low-density lipoprotein cholesterol, and increased their METs. Most of the changes were already evident at 3 months and were maintained over 1 year.

On average, improvement in patients with DM was the same as in patients without DM, although patients with DM weighed more, had a greater percentage of body fat, higher heart rates at rest, and lower METs than did patients without DM across follow-up time points. Women had significantly lower levels of high-density lipoprotein cholesterol than did men regardless of DM. By the end of 1-year follow-up, all patients significantly improved their diet, exercise, and stress management. All patients met program recommendations with regard to diet. All patients, except women with DM (2.8 ± 1.4 hours of exercise per week), exercised the prescribed amount of 3 hours per week. However, patients with DM practiced stress management for only 4 hours/week (patients without DM practiced 5 hours/week). Women with DM reported practicing less stress management compared with women without DM at all 3 time points. Attendance of group support sessions decreased significantly over time. Patients with DM attended an average of 91% and patients without DM attended an average of 92% of the group support meetings offered during the first 3 months of the intervention. At 1 year, an average of 76% of the group meetings were attended by patients with DM and 78% by those without DM. Patients with DM and women as a group reported lower quality of life at all 3 time points. However, all patients, regardless of gender and DM status, improved their quality of life over time (Table 1).

Participants lost to follow-up 

For a comparison of those who completed the 12-month follow-up with those who did not (21% of men and 27% of women), see our previous report.1 Briefly, women who completed follow-up were younger and more likely to be employed at baseline; men who completed the study reported a worse medical history at baseline but indicated more partner support. Within the DM sample (n = 91), a comparison of those who completed the program (n = 69, 76%) with those who did not (n = 22, 24%) showed that those who completed the program were significantly younger (p <0.01) and had more years of education (p <0.05). No other differences emerged. Drop-out rates in the MLDP ranged from 21% to 27% depending on gender and DM status and compared favorably with those in other follow-up studies with cardiac patients.19, 20

Discussion 

return to Article Outline

The results of the present study indicate that, despite their worse medical and psychosocial risk factor profiles at program entry (also evident in other studies21, 22, 23), patients with CAD and DM are able to make comprehensive lifestyle changes. At 3 months, improvement in risk factors, lifestyle, and quality of life of patients with CAD and DM paralleled that of patients without DM and was maintained for the entire follow-up. Even women with DM, the most medically and psychosocially disadvantaged group in our sample, were able to follow the intervention and showed significant improvements in CAD risk factors (e.g., weight, body fat, low-density lipoprotein cholesterol, and METs but no change in high-density lipoprotein cholesterol and triglycerides) and quality of life. These findings underscore the need for more aggressive approaches, such as intensive multicomponent interventions, when targeting patients with CAD and DM.22 Medicare is currently conducting a National Demonstration Project that is testing the feasibility and cost effectiveness of such an intervention for patients with CAD with and without DM.24

Quality of life also improved in the 2 groups of patients at 3 months and was maintained at 1 year. Because the MOS SF-36 correlates negatively with measures of depression,25, 26, 27 increased quality of life may also indicate decreased depression, a risk factor for CAD,27 especially among women with DM.28

One limitation of the present study was that the intervention group of the MLDP, but not the matched control group, had systematic assessment of coronary risk factors and quality of life.2 Thus, inferences about the effectiveness of the intervention cannot be made. Further, as in any multicomponent intervention, we do not know the relative importance of each component. Although the role of exercise and diet in CAD prevention is fairly well established,20 there is evidence that stress management may decrease clinical events in patients with CAD,29 decrease hemoglobin A1c in patients with DM,30 and affect DM control by facilitating adherence to diet or exercise regimens that are often prescribed for DM management.3

Acknowledgment 

return to Article Outline

Special appreciation is expressed to Vance Smith, MPH, and Mutual of Omaha, Omaha, Nebraska. We also thank Billy Gao, BS, for invaluable assistance and Nancy R Mendell, PhD, for helpful comments.

References 

return to Article Outline

1. 1 Koertge J, Weidner G, Elliott-Eller M, Scherwitz L, Merritt-Worden TA, Marlin R, et al  Improvement in medical risk factors and quality of life in women and men with coronary artery disease in the Multicenter Lifestyle Demonstration Project . Am J Cardiol . 2003;91:1316–1322 . Abstract | Full Text | Full-Text PDF (95 KB) | CrossRef

2. 2 Ornish D . Avoiding revascularization with lifestyle changes (the Multicenter Lifestyle Demonstration Project) . Am J Cardiol . 1998;82(suppl):72T–76T . MEDLINE

3. 3 Surwit RS , Schneider MS . Role of stress in the etiology and treatment of diabetes mellitus . Psychosom Med . 1993;55:380–393 . MEDLINE

4. 4 Pischke C , Marlin R , Weidner G , Ornish D . The role of lifestyle in secondary prevention of coronary heart disease in patients with type 2 diabetes . Can J Diabetes . 2006; in press .

5. 5 American Diabetes Association . Consensus development conference on the diagnosis of coronary heart disease in people with diabetes . Diabetes Care . 1998;21:1551–1559 . MEDLINE | CrossRef

6. 6 Perloff D, Grim C, Flack J, Frohlich ED, Hill M, McDonald M, et al. Human blood pressure determination by sphygmomanometry . Circulation . 1993;88:2460–2470 . MEDLINE

7. 7 Rose GA , Blackburn H , Gillum RF , Prineas RJ . In: Cardiovascular Survey Methods,Monographs Series No. 56 . 2nd Ed.. Geneva: World Health Organization; 1982; .

8. 8 In:  Franklin B ,  Whaley M ,  Howley E editor. ACSM’s Guidelines for Exercise Testing and Prescription . 4th Ed.. Philadelphia: Lippincott Williams & Wilkins; 1991; .

9. 9 Rimm EB , Giovannucci EL , Stampfer MJ , Colditz GA , Litin LB , Willett WC . Reproducibility and validity of an expanded self/administered semiquantitative food frequency questionnaire among male health professionals . Am J Epidemiol . 1992;135:1114–1126 . MEDLINE

10. 10 Ware JJ , Sherbourne CD . The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection . Med Care . 1992;30:473–483 . MEDLINE | CrossRef

11. 11 Ware JE , Kosinski M . In: SF-36 Physical and Mental Health Summary Scales (A Manual for Users of Version 1) . 2nd Ed.. Lincoln, RI: Quality Metric Inc; 2001; .

12. 12 Jenkinson C , Wright L , Coulter A . Criterion validity and reliability of the SF-36 in a population sample . Qual Life Res . 1994;3:7–12 . MEDLINE | CrossRef

13. 13 Ware JE, Gandek B, Kosinski M, Aaronson NK, Apolone G, Brazier J, et al  The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries (results from the IQOLA Project) . J Clin Epidemiol . 1998;51:1167–1170 . Abstract | Full Text | Full-Text PDF (160 KB) | CrossRef

14. 14 Ornish D . Dr. Dean Ornish’s Program for Reversing Heart Disease . New York: Ballantine Books; 1990; .

15. 15 Billings JH . Maintenance of behavior change in cardiorespiratory risk reduction (a clinical perspective from the Ornish program for reversing heart disease) . Health Psychol . 2000;19:70–75 . MEDLINE | CrossRef

16. 16 Tabachnick BG , Fidell LS . Using Multivariate Statistics . 4th Ed.. Needham Heights: Allyn & Bacon; 2001; .

17. 17 SPSS Base 10.0 User’s Guide. Chicago: SPSS, Inc., 1999.

18. 18 Diehl JM , Staufenbiel T . Statistik mit SPSS Version 10 + 11. 1. Aufl . Eschborn: Klotz; 2002; .

19. 19 Carney RM, Blumenthal JA, Freedland KE, Youngblood M, Veith RC, Burg MM, et al. Depression and late mortality after myocardial infarction in the enhancing recovery in coronary heart disease (ENRICHD) study . Psychosom Med . 2004;66:466–474 . CrossRef

20. 20 Ades PA . Cardiac rehabilitation and secondary prevention of coronary heart disease . N Engl J Med . 2001;345:892–902 . MEDLINE | CrossRef

21. 21 Suresh V , Harrison RA , Houghton P , Naqvi N . Standard cardiac rehabilitation is less effective for diabetics . Int J Clin Pract . 2001;55:445–448 . MEDLINE

22. 22 Banzer JA , Maguire TE , Kennedy CM , O’Malley CJ , Ballady GJ . Results of cardiac rehabilitation in patients with diabetes mellitus . Am J Cardiol . 2004;93:81–84 . Abstract | Full Text | Full-Text PDF (90 KB) | CrossRef

23. 23 Milani RV , Lavie CJ . Behavioral differences and effects of cardiac rehabilitation in diabetic patients following cardiac events . Am J Med . 1996;100:517–523 . Abstract | Full-Text PDF (798 KB) | CrossRef

24. 24 Centers for Medicare & Medicaid Services. Announcement of the implementation of the Medicare Lifestyle Modification Program Demonstration Project. Federal Register Notice. January 5, 2000. Available at: http://www.cms.hhs.gov/researchers/demos/preventiveservices/3q4.asp. Accessed July 5, 2005

25. 25 Callahan EJ , Bertakis KD , Azari R , Helms LJ , Robbins J , Miller J . Depression in primary care (patient factors that influence recognition) . Fam Med . 1997;29:172–176 . MEDLINE

26. 26 McKee MD , Cunningham M , Jankowski KR , Zayas L . Health-related functional status in pregnancy (relationship to depression and social support in a multi-ethnic population) . Obstet Gynecol . 2001;97:988–993 . MEDLINE | CrossRef

27. 27 Nemeroff CB , O’Connor CM . Depression as a risk factor for cardiovascular and cerebrovascular disease (emerging data and clinical perspectives) . Am Heart J . 2000;140(suppl 2):55–56 . MEDLINE | CrossRef

28. 28 Clouse RE , Lustman PJ , Freedland KE , Griffith LS , McGill JB , Carney RM . Depression and coronary heart disease in women with diabetes . Psychosom Med . 2003;65:376–383 . CrossRef

29. 29 Blumenthal JA, Babyak M, Wei J, O’Connor C, Waugh R, Eisenstein E, et al. Usefulness of psychosocial treatment of mental stress-induced myocardial ischemia in men . Am J Cardiol . 2002;89:164–168 . Abstract | Full Text | Full-Text PDF (78 KB) | CrossRef

30. 30 Surwit RS, van Tilburg MA, Zucker N, McCaskill CC, Parekh P, Feinglos MN, et al. Stress management improves long-term glycemic control in type 2 diabetes . Diabetes Care . 2002;25:30–34 . MEDLINE | CrossRef

a Preventive Medicine Research Institute, Sausalito, California

b Institute of Health and Healing, California Pacific Medical Center, San Francisco, California

c Institute for Health Behavior, Research & Education Inc., Columbia, South Carolina

d University of South Carolina, School of Medicine, Columbia, South Carolina

e Massachusetts General Hospital, Boston, Massachusetts

f South Denver Cardiology Associates, Denver, Colorado

g Scripps Center for Integrative Medicine, Scripps Institute, La Jolla, California.

Corresponding Author InformationCorresponding author: Tel: 415-332-2525; fax: 415-332-5730.

 Preparation of this report was supported in part by the German Academic Exchange Service and the Alexander von Humboldt Foundation, Bonn, Germany.

PII: S0002-9149(06)00157-3

doi:10.1016/j.amjcard.2005.11.051


View previous. 2 of 29 View next.