| Literature DB >> 19654887 |
Amparo C Villablanca1, Shavon Arline, Jacqui Lewis, Sekar Raju, Susan Sanders, Shannon Carrow.
Abstract
The purpose of this study was to reduce cardiovascular disease (CVD) risk in women by implementing a cardiovascular prevention health promotion program in faith- and community-based sites. The primary outcomes were reducing obesity and increasing physical activity. A longitudinal cohort of high-risk (age > 40, ethnic minority) women (n = 1,052) was enrolled at 32 sites across the USA. The pre- or post-educational intervention consisted of eight biweekly counseling sessions conducted over 4 months each addressing one of six of the major CVD risk factors (smoking, diabetes, hypertension, cholesterol, obesity, and physical inactivity) as well as signs and symptoms of a heart attack and stroke; plus 4-6 maintenance sessions over three additional months. A multifaceted approach delivered by lay and medically trained personnel involving medical screenings, health behavior counseling, risk behavior modification, and stage of change were determined at baseline and end of counseling or maintenance. Following list-wise deletion, data were analyzed on 423 women who completed all follow-up time-points. Overall, significant improvement was attained in most of 28 secondary outcomes but not in the primary outcomes. Knowledge and awareness of heart disease as the leading killer or women, all of the signs and symptoms of a heart attack, calling 911, and CVD risk factors increased significantly (p < 0.05) by 8.8%, 13.6%, 5.8%, and 10%, respectively. There was a 10% (p < 0.05) increase in participants attaining control for hypertension (blood pressure < 140/90) coupled with a significant reduction in mean blood pressure in the entire cohort. Knowledge of effective CVD risk modification strategies for all CVD risk factors increased significantly (p < 0.05), except for obesity. In addition, there were significant (p < 0.05) increases in forward movement in stage of change for each CVD risk factor (range +10% to +39%). Thus, a heart disease prevention intervention built around a model of community engagement, advocacy, self-efficacy, resource knowledge, and health promotion in faith- and community-based organizations is successful at improving cardiovascular knowledge and awareness outcomes in high-risk women. Limitations of our study include the high dropout rate, significant time demands on site coordinators, limited resources for program implementation, lack of morbidity and mortality endpoints, and failure to attain the primary outcomes of weight loss and physical activity. Future studies should not only assess the effect of community education interventions on lifestyle change and knowledge and awareness of participants but should also address program duration, cost, and resources required to attain improved outcomes.Entities:
Mesh:
Year: 2009 PMID: 19654887 PMCID: PMC2719733 DOI: 10.1007/s12265-009-9118-5
Source DB: PubMed Journal: J Cardiovasc Transl Res ISSN: 1937-5387 Impact factor: 4.132
Community- and faith-based study sites
| Study lead sites | |||
|---|---|---|---|
| ABC | The Imperative | RCSHD | UC Davis |
| Participating partner community and faith-based sites | |||
| Baltimore, MD: Transformation Ministries of UCJC | Turner Chapel AME Church; Marietta, GA | Seattle, WA: St. Andrew Kim Church | Eastern Shore, NY |
| Sigma Mu Zeta–(Zeta Phi Beta); Marietta, GA | |||
| Yemassee, SC: Family Worship Center (Apostolic) | Center for Black Women’s Wellness; Atlanta, GA | Lodge Grass, MT: Our Lady of Loretto Church | Fresno, CA |
| Atlanta Chapter Mocha Mom; Atlanta, GA | |||
| Lakeland, FL: Greater Faith Christian Center, 1st Pentecostal Apostolic Church, Inc | New Covenant AME Church; Charlotte, NC | Carthage, MO: Grace Episcopal Church | Phoenix, AZ |
| Yonkers, NY: United Church of Jesus Christ | Delta Zeta (Zeta Phi Beta); Charlotte, NC | Detroit, MI: Most Holy Redeemer | Prince Georges County, MD |
| Spring Lake, NC: The Soul Harvest Apostolic Church | Chicago Chapter, Mocha Moms; Chicago, IL | St. Louis, MO: Centennial Christian Church | Sacramento, CA |
| Tau Xi Zeta (Zeta Phi Beta); Chicago, IL | |||
| Decatur, GA: Kingdom Building Worship Ministries | Mt. Calvary AME; Towson, MD | Buffalo, NY: Mt. Olive Baptist Church | Selma, AL |
| Orange, NJ: 1st United Tabernacle Church | Lambda Pi Zeta (Zeta Phi Beta); Carson, CA | Atlanta, GA: Atlanta Intercultural Ministries, Inc. | Shelby County, TN |
| Auxiliary: Carson Zeta Amicae (Zeta Phi Beta); Carson, CA | |||
| Grant AME Church; Los Angeles, CA | |||
| Randallstown, MD: Set the Captives Free | AME Union Church; Philadelphia, PA | Ypsilanti, MI: Brown Chapel A.M.E. Church | Windy City, IL |
| Columbia, SC: Rehoboth United Apostolic | Philadelphia Chapter, Mocha Moms | Cleveland, OH: La Sagrada Familia | – |
| Gwynn Oak, MD: Mount Olive Holy Evangelical | Beta Delta Zeta; Philadelphia, PA | – | – |
N/A site dropped out or declined to participate, UCJC United Churches of Jesus Christ, ABC Association of Black Cardiologists, The Imperative Black Women’s Health Imperative, RCSHD Research Center for Stroke and Heart Disease, UC Davis University of California, Davis Women’s Cardiovascular Medicine Program, AME African Methodist Episcopal Church Connectional Health Commission, CBWW Center for Black Women’s Wellness; MM Mocha Moms, Inc.; ZETA Zeta Phi Beta Sorority, Inc.
Primary and secondary outcomes assessed in response to the cardiovascular disease prevention intervention
| Primary outcome measures |
| Decrease the proportion of women who are obese (BMI> = 30 kg/m2) |
| Increase the proportion of women who engage regularly (at least 30 min/day) in moderate physical activity (outside of program sessions) |
| Secondary outcome measures |
| Decrease the proportion of women who smoke cigarettes |
| Increase the proportion of women with diabetes at baseline whose diabetes is under control (FBS<=125 mg/dl) |
| Increase the proportion of women with high blood pressure at baseline whose blood pressure is under control (SBP<=140 mmHg, DBP<=90 mmHg); (SBP<=120 mmHg, DBP<=80 mmHg) |
| Decrease the proportion of women with high total blood cholesterol (>240 mmHg; >200 mmHg) |
| Increase the proportion of women who are aware that heart disease is the #1 killer of women |
| Increase the proportion of women who are aware of the early warning symptoms and signs of a heart attack and the importance of accessing rapid emergency care by calling 911 |
| Increase the proportion of women who know all of the major risk factors for CVD (overweight, physical inactivity, smoking, diabetes, blood pressure, cholesterol) |
| Increase the proportion of women who know how to modify the major risk factors for CVD (overweight, physical inactivity, smoking, diabetes, blood pressure, cholesterol) |
| For each CVD clinical risk factor (overweight, physical inactivity, smoking, diabetes, blood pressure, cholesterol), move 50% of women forward at least one Stage of Change |
Participant follow-up for study outcomes
| Women with follow-up | Women without follow-up | Missing at follow-up (%) | |
|---|---|---|---|
| Knowledge and awareness | |||
| #1 Killer | 423 | 614 | 59.2 |
| All symptoms MI | 265 | 772 | 74.4 |
| Call 911 | 395 | 642 | 61.9 |
| 911 and all symptoms MI | 241 | 796 | 76.8 |
| All CVD risk factors | 332 | 705 | 68.0 |
| Risk factor control | |||
| DM control | 396 | 641 | 61.8 |
| HTN control (<140/90) | 219 | 818 | 78.9 |
| HTN control (<120/80) | 219 | 818 | 78.9 |
| Obesity control | 397 | 640 | 61.7 |
| Physical activity | 461 | 576 | 55.5 |
| Smoking control | 94 | 943 | 90.9 |
| Cholesterol (>240) | 388 | 649 | 62.6 |
| Cholesterol (>200) | 388 | 649 | 62.6 |
| Risk factor knowledge | |||
| HTN | 386 | 651 | 62.8 |
| DM | 419 | 618 | 59.6 |
| Smoking | 356 | 681 | 65.7 |
| Cholesterol | 416 | 621 | 59.9 |
| Physical activity | 403 | 634 | 61.1 |
| Obesity | 422 | 615 | 59.3 |
Fig. 1Flow of participants from recruitment to completion of final follow-up assessment. Flow diagram for participant recruitment, enrollment, participation in the group Counseling and Maintenance sessions, and dropout for all four national study sites
Demographics of the study population at baseline
| Characteristic | Lead study site | ||||
|---|---|---|---|---|---|
| Total cohort, % enrollees | ABC | The Imperative | RCSHD | UC Davis | |
| Demographics, no. | ( | 254 (24%) | 226 (21.5%) | 246 (23.4%) | 326 (29.9%) |
| Age, years | |||||
| <40 | 13.1 | 22.4 | 19.9 | 12.2 | 8.6 |
| 40–60 | 51.4 | 42.4 | 54.4 | 60.2 | 50.5 |
| >60 | 25.5 | 18.4 | 19.9 | 28.3 | 33.6 |
| Race | |||||
| Caucasian (non-Hispanic) | 3.8 | 0.3 | 0.0 | 15.2 | 0.3 |
| Black (non-Hispanic) | 72.7 | 75.7 | 90.7 | 30.9 | 92.1 |
| Asian/Pacific Islander | 1.9 | 0.3 | 0.0 | 7.8 | 0.0 |
| American Indians/Alaska natives | 2.7 | 1.3 | 0.4 | 9.3 | 0.0 |
| Other | 6.9 | 0.7 | 0.4 | 26.8 | 0.0 |
| Unknown/Missing | 11.6 | 21.4 | 8.0 | 10.0 | 6.4 |
| Ethnicity | |||||
| Hispanic | 14.7 | 4.3 | 3.9 | 46.4 | 1.0 |
| Non-Hispanic | 84.0 | 91.4 | 94.4 | 53.2 | 96.9 |
| Education | |||||
| Some high school or less | 8.9 | 8.2 | 1.8 | 21.6 | 4.0 |
| High school graduate | 10.5 | 11.8 | 8.3 | 16.7 | 4.9 |
| Some college, vocational, or technical school | 23.2 | 28.6 | 24.8 | 22.7 | 17.4 |
| College graduate | 21.1 | 15.8 | 26.1 | 15.6 | 27.0 |
| Post-graduate | 22.2 | 9.9 | 28.3 | 11.5 | 38.2 |
| Unknown/missing | 13.8 | 25.0 | 9.73 | 10.8 | 7.3 |
| Health insurance status | |||||
| Medicaid or state | 6.2 | 7.6 | 4.0 | 8.9 | 4.3 |
| Medicare | 14.7 | 14.1 | 11.1 | 16.7 | 15.9 |
| HMO or other commercial | 49.0 | 36.2 | 62.0 | 33.5 | 64.8 |
| Disability | 1.6 | 2.3 | 1.8 | 1.1 | 1.2 |
| Private pay | 9.2 | 8.2 | 7.1 | 8.6 | 12.2 |
| None | 12.4 | 12.2 | 10.2 | 26.8 | 2.5 |
| Other | 6.7 | 4.9 | 7.1 | 9.7 | 5.5 |
| Unknown/missing | 1.2 | 2.6 | 0.4 | 1.5 | 0.0 |
| Socioeconomic status (income/year) | |||||
| Up to $19,999 | 9.9 | 10.2 | 7.5 | 20.8 | 2.5 |
| $20,000–39,999 | 16.1 | 18.8 | 16.4 | 20.8 | 9.5 |
| $40,000–74,999 | 21.7 | 18.8 | 25.7 | 17.1 | 25.4 |
| ≥$75,000 | 21.7 | 10.5 | 27.9 | 6.7 | 40.1 |
| Unknown/missing | 21.9 | 34.9 | 13.3 | 23.4 | 14.4 |
Baseline cardiovascular risk profile of the study population
| Characteristic (risk variable) | Baseline (n = 1052) |
|---|---|
| % Enrollees | |
| Diabetes mellitus (self-report) | 15.5 |
| Pre-diabetes | 17.7 |
| FBS ≥ 126 mg/dl | 8.7 |
| Hypertension (self report) | 42.0 |
| SBP ≥ 140 or DBP ≥ 90, mmHg | 33.8 |
| SBP ≥ 120 or DBP ≥ 80, mmHg | 73.2 |
| Pre-hypertensive (self-report) | 20.4 |
| Prescribed medication for HBP (self-report) | 40.9 |
| Hypercholesterolemia | |
| TC > 240 mg/dl | 5.8 |
| TC > 200 mg/dl | 25.3 |
| Obesity | |
| BMI ≥ 30 kg/m2 | 38.4 |
| Mean BMI (kg/m2) | 32.2 |
| Physical activity (self-report)—days/week | |
| ≤2 days | 30.6 |
| 3–4 days | 24.7 |
| ≥5 days | 28.6 |
| Smoking (self-report) | |
| Everyday | 4.0 |
| Some days | 1.5 |
| Family History (self-report; early onset CVD in mother, sister, brother, or father) | 40.5 |
| Heart disease (self-report) | |
| CHF | 2.6 |
| CAD | 3.0 |
| Myocardial Infarction | 2.8 |
| Angina | 3.8 |
| Stroke (self report) | 2.5 |
HBP high blood pressure, FBS fasting blood sugar, SBP systolic blood pressure, DBP diastolic blood pressure, TC total cholesterol, HDL high density lipoprotein cholesterol, BMI body mass index, CHF congestive heart failure, CHD coronary heart disease, CAD coronary artery disease, CVD cardiovascular disease
Fig. 2Effects of the intervention on knowledge and awareness of heart disease for participants who completed all assessments. Cardiovascular outcomes (proportion of women) at baseline (B), end of counseling (EC), and end of maintenance (EM) for women enrolled in the study. All comparisons are paired (pre- or post-intervention) for women with data at all three time points. Knowledge and awareness outcomes were assessed as follows: heart disease as the #1 killer of women; all symptoms of a myocardial infarction (MI); calling 911; all symptoms of MI and calling 911; and all of the major cardiovascular disease (CVD) risk factors (diabetes, high blood pressure, high cholesterol obesity, physical inactivity, and smoking). Statistically significant changes (*p < 0.05) for comparisons of B to EC and EC to EM are noted
Fig. 3Effects of the intervention on control of cardiovascular risk factors for participants who completed all assessments. Cardiovascular outcomes (proportion of women) at baseline (B), end of counseling (EC), and end of maintenance (EM) for women enrolled in the study. All comparisons are paired (pre- or post-intervention) for women with data at all three time points. Control of cardiovascular risk factors were assessed for each of the following: diabetes (diabetics with fasting glucose <= 125 mg/dl), hypertension (HTN; hypertensives with blood pressure <140/90 mmHg; blood pressure <120/80 mmHg), high total cholesterol (TC) (TC > 240 mg/dl and TC > 200 mg/dl), obesity (BMI < 30 kg/m2), physical activity (regular, preferably daily, moderate physical activity for at least 30 min/day), and smoking (current smokers). Statistically significant changes (*p < 0.05) for comparisons of B to EC and EC to EM are noted
Fig. 4Effects of the intervention on knowledge of cardiovascular risk modification for participants who completed all assessments. Cardiovascular outcomes (proportion of women) at baseline (B), end of counseling (EC), and end of maintenance (EM) for women enrolled in the study. All comparisons are paired (pre- or post-intervention) for women with data at all three time points. Knowledge of effective cardiovascular risk modification interventions (e.g., utility of decreased sodium intake for blood pressure control, utility of decreased fat intake for control of high cholesterol, etc.) were assessed for each of the following risk factors: diabetes (DM), hypertension (HTN), high cholesterol, obesity, physical inactivity, and smoking. Statistically significant changes (*p < 0.05) for comparisons of B to EC and EC to EM are noted
Fig. 5Effects of the intervention on stages of change for cardiovascular risk factors for participants who completed all assessments. Proportion of women moving forward at least one stage of change (Prochaska’s stages of change model, see text) for each cardiovascular risk factor (diet, weight, physical activity, smoking, blood pressure, cholesterol, and diabetes) at end of counseling (EC) and end of maintenance (EM) compared to baseline (B) for women enrolled in the study. All comparisons are paired (pre- or post-intervention) for women with data at all three time points. Statistically significant changes (*p < 0.05) for comparisons of B to EC and EC to EM are noted
Fig. 6Effects of the intervention on clinical parameters for participants who completed all assessments. Cardiovascular clinical outcomes at baseline (B), end of counseling (EC), and end of maintenance (EM) for women enrolled in the study. All comparisons are paired (pre- or post-intervention) for women with data at all three time points. Clinical parameters (means ± SEM) were assessed for the following: weight (lbs), body mass index (BMI, kg/m2), diagnosis of diabetes (DM), systolic blood pressure (SBP, mmHg), diastolic blood pressure (DBP, mmHg), total cholesterol (TC, mg/dl), and fasting blood glucose (FBS, mg/dl). Statistically significant changes (*p < 0.05) for comparisons of B to EC and EC to EM are noted