Lifestyle modification has been demonstrated to effectively reduce the risk factors associated with cardiovascular disease, but there is a perception that it is costly to administer and resource. The present study examined the results achieved by a 30-day lifestyle modification program (Coronary Health Improvement Project) delivered by volunteers in a community setting. Changes in selected biometric measures of 5,070 participants in the Coronary Health Improvement Project programs delivered throughout North America (January 2006 to October 2009), were assessed. Overall, significant reductions (p < 0.001) were recorded in body mass (−3.2%), systolic and diastolic blood pressure (−4.9% and −5.3%, respectively), total cholesterol (−11.0%), low-density lipoprotein cholesterol (−13.0%), triglycerides (−7.7%), and fasting plasma glucose (−6.1%). Stratification of the data revealed more dramatic responses in those presenting with the greatest risk factor levels. Those presenting with cholesterol levels >280 mg/dl recorded an average reduction of 19.8%. A mean decrease of 16.1% in low-density lipoprotein levels was observed among those who entered the program with a low-density lipoprotein level >190 mg/dl. Individuals who presented with triglycerides >500 mg/dl recorded a mean reduction of 44.1%. The Framingham assessment forecast that approximately 70 cardiac events would be averted during the subsequent decade in the cohort because of the program. In conclusion, significant reductions in cardiovascular disease risk factors can be achieved in a 30-day lifestyle intervention delivered by volunteers, providing a cost-effective mode of administering lifestyle medicine.
Lifestyle modification programs have been shown to be effective in the treatment of cardiovascular disease (CVD). One cost-effective, community-based lifestyle modification program that has demonstrated meaningful reductions in CVD risk factors is the Coronary Health Improvement Project (CHIP), which has been delivered by health professionals in hospitals and workplace environments. Although CHIP has been successfully delivered by health professionals since 1987, a video-taped version of the program has been made available more recently for volunteers to conduct CHIP programs in their local community. The delivery of lifestyle modification programs by harnessing the energies of trained and certified volunteer directors who might be well-placed to nurture relations with participants in their community has the potential to elevate lifestyle medicine resourcing issues, while also making the programs more cost-effective. The aim of the present study was to determine the effectiveness of volunteer-directed, community-based CHIP programs on participants’ CVD risk factors and other biometric measures.
Methods
The study was observational and evaluated the pre- to postbiometric changes of 5,070 subjects who had self-selected to participate in a CHIP program. A total of 176 CHIP programs (mean group size 29, range 3 to 228) were conducted at 136 sites throughout North America from January 2006 to October 2009. The Avondale College human research ethics committee approved the study (approval number 20:10:07).
The CHIP programs were facilitated by volunteer directors, sourced primarily through the Seventh-Day Adventist Church, who had an interest in positively influencing the health of their local community. The volunteers underwent a 2-day training workshop at a cost of $250 per team of 3, during which they received instruction and detailed manuals regarding the program’s philosophy, content, and method. They were then provided with a comprehensive resource package that included all the materials required to deliver the program.
During the 30 days of the program, the participants received comprehensive lifestyle counseling through 16 two-hour group sessions. Each session typically included a 1-hour recorded lecture by an epidemiologically trained lifestyle interventionist (Dr. Hans Diehl), cooking demonstrations, group discussion, and an exercise component. Also incorporated into the program were shopping tours and nutrition workshops. The participants paid a fee of $250 to cover the costs of the biomedical assessments, food samples distributed throughout the program, and resources, including a textbook and supplementary reading.
The program encouraged participants to move toward a whole-food, plant-based diet ad libitum, with emphasis on the consumption of grains, legumes, fresh fruits, and vegetables. Specifically, the program recommended <15% of calories be derived from fat, with <10 teaspoons of added sugar, <5,000 mg of salt (2,000 mg sodium), and <50 mg of cholesterol per day. The participants were also encouraged to consume 2 to 2.5 L (eight 10-oz glasses) of water daily. At least 30 minutes of daily aerobic exercise (or 10,000 steps) was prescribed, and stress reduction techniques were advocated.
The intent of the CHIP program was to nurture intelligent self-care through enhanced understanding of the epidemiology, etiology, and risk factors associated with CVD. The CHIP curriculum included the following topics: modern medicine’s accomplishments and limitations, atherosclerosis, cardiovascular risk factors, smoking, exercise, dietary fiber, cholesterol, plant-based nutrition, obesity, diabetes, hypertension, dyslipidemia, lifestyle and health, behavioral change, and self-worth.
The participants were encouraged to consult their physician throughout the program, because previous experience has demonstrated that it is necessary to modify medication use because of the intervention.
The participants who attended a minimum of 13 of the 16 sessions and completed the pre- and postassessments “graduated” from the program and were encouraged to join a CHIP alumni group, which met monthly to provide ongoing support for the lifestyle changes initiated during the intervention.
Before participating in the CHIP program (baseline) and again at its conclusion (postintervention), the participants’ height, weight, and blood pressure were taken and fasting (12-hour) blood samples were collected. The blood samples were collected by trained phlebotomists and analyzed by local pathology laboratories for determination of the total cholesterol, low-density lipoprotein, high-density lipoprotein, triglycerides, and fasting plasma glucose levels. In addition, the participants completed a self-reported medical/lifestyle questionnaire. The questionnaire included demographic data, a brief medical and family history, details of medication use, and various measures of lifestyle habits such as dietary behavior, activity level, rest, and the use of alcohol, caffeine, and tobacco.
The data were entered into a specially developed Microsoft Access program, exported into Microsoft Excel (Microsoft, Redmond, Washington) and then imported into PASW Statistics, version 18 (SAS Institute, Cary, North Carolina), for analysis. The data are expressed as the mean ± SD. The extent of the changes (from baseline to postintervention) in the biometric measures and risk factors, for both the overall and the stratified data, were assessed using paired t tests. The McNemar chi-square test was used to determine the changes from before to after the intervention in the distribution of participants across the various risk factor categories. The participants were classified as having the metabolic syndrome at baseline and after intervention, according to the “harmonized definition,” and a Mantel-Haenszel chi-square test was used to test the assumption that there was no significant difference between the number of participants with the metabolic syndrome from baseline to after the intervention.
Results
The 5,070 participants (mean age 57.2 ± 12.9 years) included 1,694 men (57.8 ± 13.0 years) and 3,372 women (56.9 ± 12.9 years). Of these participants, 210 (4.1%) self-reported a history of myocardial infarction, 111 (2.1%) had undergone bypass surgery, 101 (2.0%) had experienced a stroke, and 439 (8.7%) had a history of cancer.
The mean changes from baseline to after the intervention for all participants combined are presented in Table 1 . Significant reductions were recorded in all the risk factors, with the most notable being in total cholesterol (−11%). High-density lipoprotein cholesterol also decreased after the intervention but not to the same magnitude as total cholesterol, reducing the total cholesterol/high-density lipoprotein ratio from 4.02:1 to 3.89:1 (p < 0.001).
Factor | Participants (n) | Baseline | After Intervention | Mean Change | % Change | t Statistic | p Value |
---|---|---|---|---|---|---|---|
Weight (lb) | 4,607 | 192.3 ± 50.4 | 186.2 ± 48.2 | −6.1 | −3.2% | 69.8 | <0.001 |
Body mass index (kg/m 2 ) | 4,536 | 31.0 ± 7.3 | 30.0 ± 7.0 | −1.0 | −3.2% | 72.3 | <0.001 |
Systolic blood pressure (mm Hg) | 4,579 | 133.2 ± 19.3 | 126.7 ± 25.5 | −6.5 | −4.9% | 17.7 | <0.001 |
Diastolic blood pressure (mm Hg) | 4,577 | 79.9 ± 11.3 | 75.7 ± 10.0 | −4.2 | −5.3% | 27.7 | <0.001 |
Total cholesterol (mg/dl) | 4,674 | 193.6 ± 41.7 | 172.3 ± 39.9 | −21.3 | −11.0% | 54.3 | <0.001 |
Low-density lipoprotein (mg/dl) | 4,568 | 131.0 ± 62.0 | 114.0 ± 54.8 | −17.0 | −13.0% | 41.7 | <0.001 |
High-density lipoprotein (mg/dl) | 4,673 | 54.8 ± 25.7 | 50.1 ± 23.1 | −4.7 | −8.6% | 36.4 | <0.001 |
Triglycerides (mg/dl) | 4,669 | 143.5 ± 90.0 | 132.5 ± 74.7 | −11.0 | −7.7% | 12.3 | <0.001 |
Fasting plasma glucose (mg/dl) | 4,631 | 101.1 ± 28.9 | 94.9 ± 31.1 | −6.2 | −6.1% | 23.0 | <0.001 |
Framingham score | 3,689 | 12.2 ± 9.3 | 10.4 ± 7.8 | −1.8 | −14.7% | 17.4 | <0.001 |
A significant reduction (p < 0.001) was found in the number of participants requiring medication because of the program, with 1,085 participants (21.4%) reporting medication use at the start of the intervention and 879 (17.4%) at its conclusion. The most common medications taken by the participants were to lower cholesterol and/or blood pressure. Of the 102 smokers at baseline, only 64 were still smoking at the end of the 30-day program.
The effect of the intervention on the various risk factors was analyzed further, with the results listed in Table 2 ; the data were stratified by conventional risk factor categories. The National Cholesterol Education Program Adult Treatment Panel III classification system was used to categorize the participants for all risk factors, except total cholesterol, for which the Framingham risk classification was used. The Framingham classification was used for stratification of the cholesterol data, because it includes 5 categories compared to only 3 in the National Cholesterol Education Program Adult Treatment Panel III classification system and thus allowing a more detailed analysis of the effect of the intervention on the highest risk participants.
Risk Factor | Participants (n) | McNemar Chi-square Test (p Value) | Baseline | After Intervention | Mean Change | % Mean Change | p Value | |
---|---|---|---|---|---|---|---|---|
Baseline | After Intervention | |||||||
Body mass index (kg/m 2 ) | ||||||||
<18.5 | 27 | 33 | 449 (<0.001) | 17.6 ± 0.9 | 17.5 ± 0.8 | −0.1 | −0.8% | 0.144 |
18.5–24.9 | 884 | 1,086 | 22.7 ± 1.6 | 22.3 ± 1.7 | −0.5 | −2.1% | <0.001 | |
25–30 | 1,470 | 1,539 | 27.5 ± 1.4 | 26.6 ± 1.5 | −0.9 | −3.1% | <0.001 | |
>30 | 2,242 | 1,965 | 36.6 ± 6.1 | 35.4 ± 6.0 | −1.3 | −3.4% | <0.001 | |
Systolic blood pressure (mm Hg) | ||||||||
<120 | 1,279 | 1,866 | 662 (<0.001) | 111.8 ± 9.0 | 114.5 ± 27.0 | 2.7 | 2.4% | <0.001 |
120–139 | 1,719 | 1,788 | 129.9 ± 5.1 | 125.2 ± 27.0 | −4.7 | −3.6% | <0.001 | |
140–160 | 1,127 | 743 | 147.2 ± 5.8 | 134.3 ± 13.1 | −12.9 | −8.7% | <0.001 | |
>160 | 454 | 182 | 170.7 ± 11.9 | 147.3 ± 17.6 | −23.3 | −13.7% | <0.001 | |
Diastolic blood pressure (mm Hg) | ||||||||
<80 | 2,619 | 3,364 | 560 (<0.001) | 72.4 ± 6.9 | 71.8 ± 8.9 | −0.7 | −0.9% | <0.001 |
80–89 | 1,060 | 822 | 84.8 ± 2.3 | 78.3 ± 7.7 | −6.4 | −7.6% | <0.001 | |
90–100 | 688 | 322 | 92.9 ± 3.0 | 82.7 ± 8.4 | −10.2 | −10.9% | <0.001 | |
>100 | 210 | 69 | 106.2 ± 13.0 | 87.7 ± 10.3 | −18.5 | −17.4% | <0.001 | |
Total cholesterol (mg/dl) | ||||||||
<160 | 631 | 1,862 | 1,950 (<0.001) | 141.0 ± 18.7 | 133.2 ± 24.8 | −7.8 | −5.6% | <0.001 |
160–199 | 2,116 | 1,781 | 182.5 ± 15.7 | 165.5 ± 24.4 | −17.0 | −9.3% | <0.001 | |
200–239 | 1,261 | 756 | 215.6 ± 10.5 | 188.5 ± 25.5 | −27.1 | −12.6% | <0.001 | |
240–280 | 478 | 183 | 254.7 ± 10.7 | 215.2 ± 30.7 | −39.5 | −15.5% | <0.001 | |
>280 | 126 | 30 | 306.6 ± 27.2 | 245.9 ± 43.4 | −60.7 | −19.8% | <0.001 | |
Low-density lipoprotein (mg/dl) | ||||||||
<100 | 1,453 | 2,115 | 1,008 (<0.001) | 80.6 ± 15.1 | 75.3 ± 209.1 | −5.3 | −6.6% | <0.001 |
100–129 | 1,345 | 1,326 | 114.6 ± 8.3 | 102.1 ± 20.2 | −12.5 | −10.9% | <0.001 | |
130–159 | 905 | 588 | 142.4 ± 8.5 | 120.1 ± 21.8 | −22.3 | −15.7% | <0.001 | |
160–190 | 377 | 197 | 172.0 ± 8.2 | 141.6 ± 27.1 | −30.4 | −17.7% | <0.001 | |
>190 | 488 | 342 | 273.9 ± 67.9 | 229.8 ± 73.1 | −44.1 | −16.1% | <0.001 | |
High-density lipoprotein (mg/dl) | ||||||||
<40 | 1,316 | 1,814 | 539 (<0.001) | 34.2 ± 4.8 | 33.2 ± 7.0 | −1.0 | −3.0% | <0.001 |
40–60 | 2,097 | 1,912 | 48.9 ± 5.3 | 45.0 ± 7.8 | −3.8 | −7.8% | <0.001 | |
≥60 | 1,261 | 948 | 86.3 ± 29.8 | 76.2 ± 28.5 | −10.1 | −11.8% | <0.001 | |
Triglycerides (mg/dl) | ||||||||
<100 | 3,053 | 3,232 | 109 (<0.001) | 95.5 ± 29.7 | 99.7 ± 41.8 | 4.2 | 4.4% | <0.001 |
100–199 | 753 | 765 | 171.9 ± 13.9 | 158.1 ± 53.0 | −13.8 | −8.1% | <0.001 | |
200–500 | 820 | 663 | 270.5 ± 62.4 | 220.1 ± 81.8 | −50.3 | −18.6% | <0.001 | |
>500 | 45 | 11 | 634.7 ± 114.2 | 354.8 ± 158.5 | −279.9 | −44.1% | <0.001 | |
Fasting plasma glucose (mg/dl) | ||||||||
<110 | 3,716 | 4,026 | 265 (<0.001) | 90.7 ± 9.9 | 88.6 ± 10.9 | −2.1 | −2.3% | <0.001 |
110–125 | 390 | 304 | 116.1 ± 15.5 | 106.0 ± 15.5 | −10.1 | −8.7% | <0.001 | |
>125 | 525 | 301 | 164.0 ± 42.2 | 131.4 ± 34.5 | −32.6 | −19.9% | <0.001 |