Implementing DASH-aligned Congregate Meals and Self-Measured Blood Pressure in two senior centers: An open label study

Anuradha Hashemi, Kimberly Vasquez, Dozene Guishard, Moufdi Naji, Andrea Ronning, Glenis George-Alexander, Dacia Vasquez, Clewert Sylvester, William Pagano, Chamanara Khalida, Cameron Coffran, Teeto Ezeonu, Kadija Fofana, Dana Bielopolski, Roger Vaughan, Adam Qureshi, Jonathan N Tobin, Rhonda G Kost, Anuradha Hashemi, Kimberly Vasquez, Dozene Guishard, Moufdi Naji, Andrea Ronning, Glenis George-Alexander, Dacia Vasquez, Clewert Sylvester, William Pagano, Chamanara Khalida, Cameron Coffran, Teeto Ezeonu, Kadija Fofana, Dana Bielopolski, Roger Vaughan, Adam Qureshi, Jonathan N Tobin, Rhonda G Kost

Abstract

Background and aims: Cardiovascular Disease (CVD) poses significant health risks for seniors, especially among low-income and minority communities. Senior centers offer multiple services. We tested whether implementing two evidence-based interventions- DASH-aligned meals provided through an existing congregate meal program, and support for home Self-Measured Blood Pressure (SMBP) monitoring-lowers blood pressure among participants at two senior centers serving low-income, racially diverse communities.

Methods and results: Open-label study, enrolling clients aged ≥60, eating ≥4 meals/week at two NYC senior centers. Participants received DASH-aligned congregate meals, and training in nutrition, BP management education, and personal SMBP device. Co-Primary outcomes: a) change in systolic BP measured by independent health professionals, and b) change in percent with "controlled BP" (Eighth Joint National Committee (JNC-8) Guidelines), at Month 1 compared to Baseline.

Secondary outcomes: Changes in BP at Months 3 and 5/6 (last measure). We enrolled 94 participants; COVID closures interrupted implementation mid-study. Mean systolic BP at Month-1 changed by -4.41 mmHg (n = 61 p = 0.07) compared to Baseline. Participants with controlled BP increased (15.7%) at Month 1. Change in mean BP at Month 1 was significantly correlated with BMI (p = 0.02), age (p = 0.04), and baseline BP (p < 0.001). Mean systolic SMBP changed by -6.9 mmHg (p = 0.004) at Months 5/6.

Conclusions: Implementing an evidence-based multi-component BP-lowering intervention within existing congregate meal programs at senior centers serving minority and low-income communities is feasible, and early findings show promising evidence of effectiveness. This approach to cardiovascular risk reduction should be further tested for widespread adoption and impact. Registered on ClinicalTrials.gov NCT03993808 (June 21st, 2019).

Keywords: Cardiovascular risk; Community-based; DASH diet; Hypertension; Implementation research; Nutritional intervention; Self-efficacy; Seniors.

Conflict of interest statement

Declaration of competing interest The authors have no conflicts of interest to declare.

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Figures

Figure 1
Figure 1
Study Procedures Timeline. Schedule of planned intervention components and study assessments for this 6-month study. Weeks are relative to start of interventions at each Site.
Figure 2
Figure 2
CONSORT Diagram of DASH Senior Center Intervention. Consort diagram shows the flow of participants through the study. Site closures due to COVID-19 pandemic-related public health mandates interrupted the delivery of congregate meals and in-person assessments including primary outcome measures; many assessments could be collected remotely.

References

    1. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics—2016 update. Circulation 2016;133:e38–360. 10.1161/CIR.0000000000000350.
    1. Vespa J, Medina L, Armstrong DM. Demographic turning points for the United States: population projections for 2020 to 2060. Current Population Reports, P25–1144. Washington, DC: U.S. Census Bureau; 2020.
    1. Havranek EP, Mujahid MS, Barr DA, Blair IV, Cohen MS, Cruz-Flores S, et al. Social determinants of risk and outcomes for cardiovascular disease: a scientific statement from the American heart association. Circulation 2015:873–98. 10.1161/CIR.0000000000000228.
    1. Lionakis N, Mendrinos D, Sanidas E, Favatas G, Georgopoulou M. Hypertension in the elderly. World J Cardiol 2012;4:135–47. 10.4330/wjc.v4.i5.135.
    1. Adler AI, Stratton IM, Neil HA, Yudkin JS, Matthews DR, Cull CA, et al. Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): prospective observational study. BMJ 2000;321:412–9. 10.1136/bmj.321.7258.412.
    1. Hardy ST, Loehr LR, Butler KR, Chakladar S, Chang PP, Folsom AR, et al. Reducing the blood pressure-related burden of cardiovascular disease: impact of achievable improvements in blood pressure prevention and control. J Am Heart Assoc 2015;4:e002276. 10.1161/JAHA.115.002276.
    1. Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American heart association Task Force on clinical practice guidelines. Hypertension 2018;71: e13–115. 10.1161/HYP.0000000000000065.
    1. Writing Group of the PREMIER Collaborative Research Group. Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA 2003;289. 10.1001/jama.289.16.2083.
    1. Appel LJ, Brands MW, Daniels SR, Karanja N, Elmer PJ, Sacks FM, et al. Dietary approaches to prevent and treat hypertension: a scientific statement from the American Heart Association. Hypertension 2006;47:296–308. 10.1161/01.HYP.0000202568.01167.B6.
    1. Soltani S, Arablou T, Jayedi A, Salehi-Abargouei A. Adherence to the dietary approaches to stop hypertension (DASH) diet in relation to all-cause and cause-specific mortality: a systematic review and dose-response meta-analysis of prospective cohort studies. Nutr J 2020;19:37. 10.1186/s12937-02000554-8.
    1. Ferguson CC, Knol LL, Ellis AC. Visceral adiposity index and its association with dietary approaches to stop hypertension (DASH) diet scores among older adults: national health and nutrition examination surveys 2011–2014. Clin Nutr 2021;40:4085–9. 10.1016/j.clnu.2021.02.008.
    1. Ortolá R, García-Esquinas E, Buño-Soto A, Sotos-Prieto M, Struijk EA, Caballero FF, et al. Healthy dietary patterns are associated with lower concentrations of growth differentiation factor 15 in older adults. Am J Clin Nutr 2021;113:1619–26. 10.1093/ajcn/nqaa444.
    1. Vollmer WM, Sacks FM, Ard J, Appel LJ, Bray GA, SimonsMorton DG, et al. Effects of diet and sodium intake on blood pressure: subgroup analysis of the DASH-sodium trial. Ann Intern Med 2001;135:1019–28. 10.7326/0003-4819-13512-200112180-00005.
    1. Bray GA, Vollmer WM, Sacks FM, Obarzanek E, Svetkey LP, Appel LJ, et al. A further subgroup analysis of the effects of the DASH diet and three dietary sodium levels on blood pressure: results of the DASH-Sodium Trial. Am J Cardiol 2004;94:222–7. 10.1016/j.amjcard.2004.03.070.
    1. Svetkey LP. Effects of dietary patterns on blood pressure: subgroup Analysis of the dietary approaches to stop hypertension (DASH) randomized clinical trial. Arch Intern Med 1999:159:285. 10.1001/archinte.159.3.285.
    1. Joyce BT, Wu D, Hou L, Dai Q, Castaneda SF, Gallo LC, et al. DASH diet and prevalent metabolic syndrome in the hispanic community health study/study of latinos. Prev Med Rep 2019:15:100950. 10.1016/j.pmedr.2019.100950.
    1. Baker EA, Barnidge EK, Schootman M, Sawicki M, MottonKershaw FL. Adaptation of a modified DASH diet to a rural african American community setting. Am J Prev Med 2016;51:967–74. 10.1016/j.amepre.2016.07.014.
    1. Bertoni AG, Foy CG, Hunter JC, Quandt SA, Vitolins MZ, Whitt-Glover MC. A multilevel assessment of barriers to adoption of dietary approaches to stop hypertension (DASH) among african Americans of low socioeconomic status. J Health Care for the Poor and Underserved 2011;22:1205–20. 10.1353/hpu.2011.0142.
    1. Epstein DE, Sherwood A, Smith PJ, Craighead L, Caccia P-C, Lin H, et al. Determinants and consequences of adherence to the dietary approaches to stop hypertension diet in African-American and white adults with high blood pressure: results from the ENCORE trial. J Acad Nutr Diet 2012;112:1763–73. 10.1016/j.jand.2012.07.007.
    1. LaTrella P, Bosnick M, Chin J, Di J. NYC department of aging: services snapshot. 2020.
    1. McCloskey DJ, Akintobi TH, Bonham A, Cook J, Coyne-Beasley T. Principles of community engagement. second ed. 2011.
    1. Israel BA, Schulz AJ, Parker EA, Becker AB. Review of community-based research: assessing partnership approaches to improve public health. Annu Rev Public Health 1998;19:173–202. 10.1146/annurev.publhealth.19.1.173.
    1. Vasquez K, Guishard D, Desai R, Naji M, Jiang C, Ronning A, et al. 3310 A community-academic partnership to understand the association among health status and senior services utilization to improve nutrition and blood pressure control for low income seniors aging in place. J Clinical and Trans Sci 2019;3:79–80. 10.1017/cts.2019.185.
    1. McManus RJ, Mant J, Bray EP, Holder R, Jones MI, Greenfield S, et al. Telemonitoring and self-management in the control of hypertension (TASMINH2): a randomised controlled trial. The Lancet 2010; 376:163–72. 10.1016/S0140-6736(10)60964-6.
    1. McManus RJ, Mant J, Haque MS, Bray EP, Bryan S, Greenfield SM, et al. Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial. JAMA 2014;312:799–808. 10.1001/jama.2014.10057.
    1. McManus RJ, Mant J, Franssen M, Nickless A, Schwartz C, Hodgkinson J, et al. Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial. Lancet 2018;391:949–59. 10.1016/S0140-6736(18)30309-X.
    1. Bray EP, Holder R, Mant J, McManus RJ. Does self-monitoring reduce blood pressure? Meta-analysis with meta-regression of randomized controlled trials. Annals of Medicine 2010;42:371–86. 10.3109/07853890.2010.489567.
    1. Uhlig K, Patel K, Ip S, Kitsios GD, Balk EM. Self-measured blood pressure monitoring in the management of hypertension. Ann Intern Med 2013;159:185–94. 10.7326/0003-4819-159-3-201308060-00008.
    1. Angell S, Guthartz S, Dalal M, Foster V, Pogue V, Wei A, et al. Integrating self blood pressure monitoring into the routine management of uncontrolled hypertension: translating evidence to practice. J Clin Hypertens (Greenwich) 2013;15:180–5. 10.1111/jch.12046.
    1. Muldoon MF, Einhorn J, Yabes JG, Burton D, Irizarry T, Basse J, et al. Randomized feasibility trial of a digital intervention for hypertension self-management. J Hum Hypertens 2021:1–8. 10.1038/s41371-021-00574-9.
    1. Yi SS, Tabaei BP, Angell SY, Rapin A, Buck MD, Pagano WG, et al. Self-blood pressure monitoring in an urban, ethnically diverse population: a randomized clinical trial utilizing the electronic health record. Circ Cardiovasc Qual Outcomes 2015;8:138–45. 10.1161/CIRCOUTCOMES.114.000950.
    1. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, et al. evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA 2014;311:507–20. 10.1001/jama.2013.284427.2014.
    1. New York City’s Department for the Aging. Profile of older New yorkers. 2017.
    1. Townsend MS, Kaiser LL, Allen LH, Joy AB, Murphy SP. Selecting items for a food behavior checklist for a limited-resource audience. J Nutr Educ Behav 2003;35:69–77. 10.1016/s1499-4046(06)60043-2.
    1. Hager ER, Quigg AM, Black MM, Coleman SM, Heeren T, Rose-Jacobs R, et al. Development and validity of a 2-item screen to identify families at risk for food insecurity. Pediatrics 2010;126: e26–32. 10.1542/peds.2009-3146.
    1. Chesney MA, Ickovics JR, Chambers DB, Gifford AL, Neidig J, Zwickl B, et al. Self-reported adherence to antiretroviral medications among participants in HIV clinical trials: the AACTG adherence instruments. Patient care committee & adherence working group of the outcomes committee of the adult AIDS clinical trials group (AACTG). AIDS Care 2000;12:255–66. 10.1080/09540120050042891.
    1. National Center for Health Statistics. National health interview survey. 2017. . [Accessed 16 July 2021].
    1. Hahn EA, DeWalt DA, Bode RK, Garcia SF, DeVellis RF, Correia H, et al. New English and Spanish social health measures will facilitate evaluating health determinants. Health Psychol 2014;33: 490–9. 10.1037/hea0000055.
    1. Center for Disease Control and Prevention. Behavioral risk factor surveillance System survey data. Atlanta, GA: US Department of Health and Human Services; 2016.
    1. Center for Disease Control and Prevention. National health and nutrition examination survey questionnaire. . [Accessed 16 July 2021].
    1. Global Adult Tobacco Survey Collaborative Group. Tobacco questions for surveys: a subset of key questions from the global adult tobacco survey (gats). second ed. Atlanta, GA: Centers for Disease Control and Prevention; 2011.
    1. Babor TF, Higgins-Bundle JC, Saunders JB, Monteiro MG. Audit: the Alcohol Use Disorders Identification Test: guidelines for use in primary health care. WHO; 2021.
    1. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Diseases 1987;40:373–83. 10.1016/0021-9681(87)90171-8.
    1. Kroenke K, Spitzer RL, Williams JBW. The patient health questionnaire-2: validity of a two-item depression screener. Medical Care 2003;41:1284–92. 10.1097/01.MLR.0000093487.78664.3C.
    1. NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services, 2017 New York City Community Health Survey (NYC CHS), , accessed June 8, 2022.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377–81. 10.1016/j.jbi.2008.08.010.
    1. Normal weight ranges: body mass index (BMI), , accessed April 27, 2022.
    1. Felix HC, Adams B, Cornell CE, Fausett JK, Krukowski RA, Love SJ, et al. Barriers and facilitators to senior centers participating in translational research. Res Aging 2014;36:22–39. 10.1177/0164027512466874.
    1. Truncali A, Dumanovsky T, Stollman H, Angell SY. Keep on track: a volunteer-run community-based intervention to lower blood pressure in older adults. J Am Geriatr Soc 2010;58:1177–83. 10.1111/j.1532-5415.2010.02874.x.
    1. Fernandez S, Scales KL, Pineiro JM, Schoenthaler AM, Ogedegbe G. A senior center–based pilot trial of the effect of lifestyle intervention on blood pressure in minority elderly people with hypertension. J Am Geriatr Soc 2008;56:1860–6. 10.1111/j.1532-5415.2008.01863.x.
    1. Arnett DK, Blumenthal RS, Albert MA, Michos ED, Buroker AB, Miedema MD, et al. ACC/AHA guideline on the primary prevention of cardiovascular disease: executive summary. Circulation 2019;140:e563–95. 10.1161/CIR.0000000000000677.
    1. Tucker KL, Sheppard JP, Stevens R, Bosworth HB, Bove A, Bray EP, et al. Individual patient data meta-analysis of self-monitoring of blood pressure (BP-SMART): a protocol. BMJ Open 2015;5:e008532. 10.1136/bmjopen-2015-008532.
    1. Tucker KL, Sheppard JP, Stevens R, Bosworth HB, Bove A, Bray EP, et al. Self-monitoring of blood pressure in hypertension: a systematic review and individual patient data meta-analysis. PLoS Med 2017;14:e1002389. 10.1371/journal.pmed.1002389.
    1. An R Association of home-delivered meals on daily energy and nutrient intakes: findings from the national health and nutrition examination surveys. J Nutr Gerontol Geriatr 2015;34:263–72. 10.1080/21551197.2015.1031604.
    1. Kwasnicka D, Dombrowski SU, White M, Sniehotta F. Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories. Health Psychol Rev 2016;10: 277–96. 10.1080/17437199.2016.1151372.
    1. Ndanuko RN, Tapsell LC, Charlton KE, Neale EP, Batterham MJ. Dietary patterns and blood pressure in adults: a systematic review and meta-analysis of randomized controlled Trials12. Adv Nutr 2016;7:76–89. 10.3945/an.115.009753.
    1. Vollmer WM, Appel LJ, Svetkey LP, Moore TJ, vogt T, Conlin PR, et al. Comparing office-based and ambulatory blood pressure monitoring in clinical trials. Journal of Human Hypertension 2005;19:77–82.
    1. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care 2012;50:217–26. 10.1097/MLR.0b013e3182408812.
    1. Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci 2009;4:50. 10.1186/1748-5908-4-50.

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