S Thomas1, L Yingling2, J Adu-Brimpong1, V Mitchell2, C R Ayers3, G R Wallen4, M Peters-Lawrence5, A T Brooks4, D M Sampson6, K L Wiley7, J Saygbe2, J Henry8, A Johnson9, A Graham9, L Graham9, T M Powell-Wiley10. 1. Office of Intramural Training and Education, National Institutes of Health, Bethesda, MD, 20892, USA. 2. Cardiovascular and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Room 5-3340, Bethesda, MD, 20892, USA. 3. Donald W. Reynolds Cardiovascular Clinical Research Center at the University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA. 4. Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA. 5. Division of Intramural Research - Hematology Branch, National Heart Lung and Blood Institute, NIH, Bethesda, MD, 20892, USA. 6. Office of Behavioral and Social Sciences Research, Office of the Director, National Institutes of Health, Bethesda, MD, 20892, USA. 7. Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD, 20892, USA. 8. Department of Epidemiology and Public Health, University of Maryland, Baltimore, MD, 21201, USA. 9. Department of Nutritional Sciences, Howard University, Washington, DC, 20059, USA. 10. Cardiovascular and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Room 5-3340, Bethesda, MD, 20892, USA. tiffany.powell-wiley@nih.gov.
Abstract
BACKGROUND: Little is understood about using mobile health (mHealth) technology to improve cardiovascular (CV) health among African-American women in resource-limited communities. METHODS: We conducted the Washington, D.C. CV Health and Needs Assessment in predominantly African-American churches in city wards 5, 7, and 8 with the lowest socioeconomic status based on community-based participatory research (CBPR) principles. The assessment measured CV health factors: body mass index (BMI), fasting blood glucose and cholesterol, blood pressure, fruit/vegetable (F/V) intake, physical activity (PA), and smoking. Participants were trained to use a PA monitoring wristband to measure 30 days of PA, wirelessly upload the PA data to hubs at the participating churches, and access their data from a church/home computer. CV health factors were compared across weight classes. RESULTS: Among females (N = 78; 99 % African-American; mean age = 59 years), 90 % had a BMI categorized as overweight/obese. Across weight classes, PA decreased and self-reported sedentary time (ST) increased (p ≤ 0.05). Diastolic blood pressure and glucose increased across weight classes (p ≤ 0.05); however, cholesterol, glucose, and BP were near intermediate CV health goals. CONCLUSIONS: Decreased PA and increased ST are potential community intervention targets for overweight and obese African-American women in resource-limited Washington D.C. areas. mHealth technology can assist in adapting CBPR intervention resources to improve PA for African-American women in resource-limited communities.
BACKGROUND: Little is understood about using mobile health (mHealth) technology to improve cardiovascular (CV) health among African-American women in resource-limited communities. METHODS: We conducted the Washington, D.C. CV Health and Needs Assessment in predominantly African-American churches in city wards 5, 7, and 8 with the lowest socioeconomic status based on community-based participatory research (CBPR) principles. The assessment measured CV health factors: body mass index (BMI), fasting blood glucose and cholesterol, blood pressure, fruit/vegetable (F/V) intake, physical activity (PA), and smoking. Participants were trained to use a PA monitoring wristband to measure 30 days of PA, wirelessly upload the PA data to hubs at the participating churches, and access their data from a church/home computer. CV health factors were compared across weight classes. RESULTS: Among females (N = 78; 99 % African-American; mean age = 59 years), 90 % had a BMI categorized as overweight/obese. Across weight classes, PA decreased and self-reported sedentary time (ST) increased (p ≤ 0.05). Diastolic blood pressure and glucose increased across weight classes (p ≤ 0.05); however, cholesterol, glucose, and BP were near intermediate CV health goals. CONCLUSIONS: Decreased PA and increased ST are potential community intervention targets for overweight and obese African-American women in resource-limited Washington D.C. areas. mHealth technology can assist in adapting CBPR intervention resources to improve PA for African-American women in resource-limited communities.
Entities:
Keywords:
Cardiovascular health disparities; Obesity; Women; mHealth technology
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