Community Engagement to Optimize the Use of Web-Based and Wearable Technology in a Cardiovascular Health and Needs Assessment Study: A Mixed Methods Approach

Journals

1. Yingling L, Allen N, Litchman M, Colicchio V, Gibson B. An Evaluation of Digital Health Tools for Diabetes Self-Management in Hispanic Adults: Exploratory Study. JMIR Diabetes 2019;4(3):e12936 View
2. Ceasar J, Peters-Lawrence M, Mitchell V, Powell-Wiley T. The Communication, Awareness, Relationships and Empowerment (C.A.R.E.) Model: An Effective Tool for Engaging Urban Communities in Community-Based Participatory Research. International Journal of Environmental Research and Public Health 2017;14(11):1422 View
3. Fowler L, Yingling L, Brooks A, Wallen G, Peters-Lawrence M, McClurkin M, Wiley Jr K, Mitchell V, Johnson T, Curry K, Johnson A, Graham A, Graham L, Powell-Wiley T. Digital Food Records in Community-Based Interventions: Mixed-Methods Pilot Study. JMIR mHealth and uHealth 2018;6(7):e160 View
4. Andrews M, Ceasar J, Tamura K, Langerman S, Mitchell V, Collins B, Baumer Y, Gutierrez Huerta C, Dey A, Playford M, Mehta N, Powell-Wiley T. Neighborhood environment perceptions associate with depression levels and cardiovascular risk among middle-aged and older adults: Data from the Washington, DC cardiovascular health and needs assessment. Aging & Mental Health 2021;25(11):2078 View
5. Srivastava G, Palmer K, Ireland K, McCarthy A, Donovan K, Manders A, McDougal J, Lenders C, Apovian C. Shape-Up and Eat Right Families Pilot Program: Feasibility of a Weight Management Shared Medical Appointment Model in African-Americans With Obesity at an Urban Academic Medical Center. Frontiers in Pediatrics 2018;6 View
6. Buchan K, Morgan H. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841 View
7. Ahuja C, Ayers C, Hartz J, Adu-Brimpong J, Thomas S, Mitchell V, Peters-Lawrence M, Sampson D, Brooks A, Wallen G, Johnson A, Graham L, Graham A, Rivers J, Yingling L, Powell-Wiley T. Examining relationships between perceptions and objective assessments of neighborhood environment and sedentary time: Data from the Washington, D.C. Cardiovascular Health and Needs Assessment. Preventive Medicine Reports 2018;9:42 View
8. Hartz J, Yingling L, Powell-Wiley T. Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus. Current Cardiology Reports 2016;18(12) View
9. Thomas S, Yingling L, Adu-Brimpong J, Mitchell V, Ayers C, Wallen G, Peters-Lawrence M, Brooks A, Sampson D, Wiley K, Saygbe J, Henry J, Johnson A, Graham A, Graham L, Powell-Wiley T. Mobile Health Technology Can Objectively Capture Physical Activity (PA) Targets Among African-American Women Within Resource-Limited Communities—the Washington, D.C. Cardiovascular Health and Needs Assessment. Journal of Racial and Ethnic Health Disparities 2017;4(5):876 View
10. Naslund J, Aschbrenner K, Bartels S. Wearable devices and smartphones for activity tracking among people with serious mental illness. Mental Health and Physical Activity 2016;10:10 View
11. Castensøe-Seidenfaden P, Reventlov Husted G, Teilmann G, Hommel E, Olsen B, Kensing F. Designing a Self-Management App for Young People With Type 1 Diabetes: Methodological Challenges, Experiences, and Recommendations. JMIR mHealth and uHealth 2017;5(10):e124 View
12. McCallum C, Rooksby J, Gray C. Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review. JMIR mHealth and uHealth 2018;6(3):e58 View
13. Ceasar J, Claudel S, Andrews M, Tamura K, Mitchell V, Brooks A, Dodge T, El-Toukhy S, Farmer N, Middleton K, Sabado-Liwag M, Troncoso M, Wallen G, Powell-Wiley T. Community Engagement in the Development of an mHealth-Enabled Physical Activity and Cardiovascular Health Intervention (Step It Up): Pilot Focus Group Study. JMIR Formative Research 2019;3(1):e10944 View
14. Claudel S, Ceasar J, Andrews M, El-Toukhy S, Farmer N, Middleton K, Sabado-Liwag M, Mitchell V, Tamura K, Brooks A, Wallen G, Powell-Wiley T. Time to listen: a mixed-method study examining community-based views of mobile technology for interventions to promote physical activity. BMJ Health & Care Informatics 2020;27(3):e100140 View
15. Adu-Brimpong J, Coffey N, Ayers C, Berrigan D, Yingling L, Thomas S, Mitchell V, Ahuja C, Rivers J, Hartz J, Powell-Wiley T. Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas. International Journal of Environmental Research and Public Health 2017;14(3):273 View
16. Powell‐Wiley T, Wong M, Adu‐Brimpong J, Brown S, Hertenstein D, Zenkov E, Ferguson M, Thomas S, Sampson D, Ahuja C, Rivers J, Lee B. Simulating the Impact of Crime on African American Women's Physical Activity and Obesity. Obesity 2017;25(12):2149 View
17. Yingling L, Mitchell V, Ayers C, Peters-Lawrence M, Wallen G, Brooks A, Troendle J, Adu-Brimpong J, Thomas S, Henry J, Saygbe J, Sampson D, Johnson A, Graham A, Graham L, Wiley K, Powell-Wiley T. Adherence with physical activity monitoring wearable devices in a community-based population: observations from the Washington, D.C., Cardiovascular Health and Needs Assessment. Translational Behavioral Medicine 2017;7(4):719 View
18. Brewer L, Jenkins S, Lackore K, Johnson J, Jones C, Cooper L, Radecki Breitkopf C, Hayes S, Patten C. mHealth Intervention Promoting Cardiovascular Health Among African-Americans: Recruitment and Baseline Characteristics of a Pilot Study. JMIR Research Protocols 2018;7(1):e31 View
19. Whitley M, Payán D, Flórez K, Williams M, Wong E, Branch C, Derose K. Feasibility and acceptability of a mobile messaging program within a church-based healthy living intervention for African Americans and Latinos. Health Informatics Journal 2020;26(2):880 View
20. Brewer L, Hayes S, Caron A, Derby D, Breutzman N, Wicks A, Raman J, Smith C, Schaepe K, Sheets R, Jenkins S, Lackore K, Johnson J, Jones C, Radecki Breitkopf C, Cooper L, Patten C, Newton R. Promoting cardiovascular health and wellness among African-Americans: Community participatory approach to design an innovative mobile-health intervention. PLOS ONE 2019;14(8):e0218724 View
21. Santamaria-Granados L, Mendoza-Moreno J, Ramirez-Gonzalez G. Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review. Future Internet 2020;13(1):2 View
22. Musikanski L, Phillips R, Rogers P. Well-Being Data Gathering during COVID-19: Exploring the Feasibility of a Contact Tracing and Community Well-Being Safeguarding Framework. International Journal of Community Well-Being 2021;4(3):353 View
23. Tamura K, Vijayakumar N, Troendle J, Curlin K, Neally S, Mitchell V, Collins B, Baumer Y, Gutierrez-Huerta C, Islam R, Turner B, Andrews M, Ceasar J, Claudel S, Tippey K, Giuliano S, McCoy R, Zahurak J, Lambert S, Moore P, Douglas-Brown M, Wallen G, Dodge T, Powell-Wiley T. Multilevel mobile health approach to improve cardiovascular health in resource-limited communities with Step It Up: a randomised controlled trial protocol targeting physical activity. BMJ Open 2020;10(12):e040702 View
24. Claudel S, Tamura K, Troendle J, Andrews M, Ceasar J, Mitchell V, Vijayakumar N, Powell-Wiley T. Comparing Methods to Identify Wear-Time Intervals for Physical Activity With the Fitbit Charge 2. Journal of Aging and Physical Activity 2021;29(3):529 View
25. Sedig K, Seaton M, Drennan I, Cheskes S, Dainty K. “Drones are a great idea! What is an AED?” novel insights from a qualitative study on public perception of using drones to deliver automatic external defibrillators. Resuscitation Plus 2020;4:100033 View
26. Soltero E, O’Connor T, Thompson D, Shaibi G. Opportunities to Address Obesity Disparities Among High-Risk Latino Children and Adolescents. Current Obesity Reports 2021;10(3):332 View
27. Hoelscher D, Ranjit N, Pérez A. Surveillance Systems to Track and Evaluate Obesity Prevention Efforts. Annual Review of Public Health 2017;38(1):187 View
28. Farmer N, Tuason R, Kazmi N, Flynn S, Mitchell V, Middleton K, Cox R, Franklin K, Gordon T, Baginski A, Wallen G. Going virtual during the COVID-19 pandemic: adaptation of a mixed-methods dietary behavior study within a community-based participatory research study of African-American adults at risk for cardiovascular disease. BMC Medical Research Methodology 2022;22(1) View
29. Jung H, Sunderrajan A, Durantini M, Sanchez E, Windsor L, Chan M, O'Brien T, Fayaz Farkhad B, Karan A, Lee C, Kwon S, Albarracín D. Testing a digitally distributed method to recruit a network of community organizations to fight the consequences of the drug epidemic: A study in 13 American states. Journal of Community Psychology 2022;50(8):3455 View
30. Lindley K, Aggarwal N, Briller J, Davis M, Douglass P, Epps K, Fleg J, Hayes S, Itchhaporia D, Mahmoud Z, Moraes De Oliveira G, Ogunniyi M, Quesada O, Russo A, Sharma J, Wood M. Socioeconomic Determinants of Health and Cardiovascular Outcomes in Women. Journal of the American College of Cardiology 2021;78(19):1919 View
31. Farmer N, Powell-Wiley T, Middleton K, Brooks A, Mitchell V, Troncoso M, Ceasar J, Claudel S, Andrews M, Kazmi N, Johnson A, Wallen G. Use of a focus group-based cognitive interview methodology to validate a cooking behavior survey among African-American adults. Frontiers in Nutrition 2022;9 View
32. Rajamani G, Rodriguez Espinosa P, Rosas L. Intersection of Health Informatics Tools and Community Engagement in Health-Related Research to Reduce Health Inequities: Scoping Review. Journal of Participatory Medicine 2021;13(3):e30062 View
33. Farmer N, Tuason R, Middleton K, Ude A, Tataw-Ayuketah G, Flynn S, Kazmi N, Baginski A, Mitchell V, Powell-Wiley T, Wallen G. Assessing Acceptability: The Role of Understanding Participant, Neighborhood, and Community Contextual Factors in Designing a Community-Tailored Cooking Intervention. Nutrients 2024;16(3):463 View
34. Wortley D, An J, Nigg C. Wearable technologies, health and well-being: A case review. Digital Medicine 2017;3(1):11 View