This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2226) mHealth for Wellness, Behavior Change and Prevention (2754) Focus Groups and Qualitative Research for Human Factors Research (781) Design and Formative Evaluation of Mobile Apps (664) Equity and Digital Divide (176)

Published on in Vol 3, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10944, first published .
Community Engagement in the Development of an mHealth-Enabled Physical Activity and Cardiovascular Health Intervention (Step It Up): Pilot Focus Group Study

Community Engagement in the Development of an mHealth-Enabled Physical Activity and Cardiovascular Health Intervention (Step It Up): Pilot Focus Group Study

Community Engagement in the Development of an mHealth-Enabled Physical Activity and Cardiovascular Health Intervention (Step It Up): Pilot Focus Group Study

Authors of this article:

Joniqua Nashae Ceasar1 Author Orcid Image ;   Sophie Elizabeth Claudel1 Author Orcid Image ;   Marcus R Andrews1 Author Orcid Image ;   Kosuke Tamura1 Author Orcid Image ;   Valerie Mitchell1 Author Orcid Image ;   Alyssa T Brooks2 Author Orcid Image ;   Tonya Dodge3 Author Orcid Image ;   Sherine El-Toukhy1 Author Orcid Image ;   Nicole Farmer2 Author Orcid Image ;   Kimberly Middleton2 Author Orcid Image ;   Melanie Sabado-Liwag4 Author Orcid Image ;   Melissa Troncoso5 Author Orcid Image ;   Gwenyth R Wallen2 Author Orcid Image ;   Tiffany M Powell-Wiley1 Author Orcid Image
Article Authors Cited by (22) Tweetations Metrics

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  1. 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
  2. Wei J, Vinnikova A, Lu L, Xu J. Understanding and Predicting the Adoption of Fitness Mobile Apps: Evidence from China. Health Communication 2021;36(8):950 View
  3. Li C, Xiong Y, Sit H, Tang W, Hall B, Muessig K, Wei C, Bao H, Wei S, Zhang D, Mi G, Yu F, Tucker J. A Men Who Have Sex With Men–Friendly Doctor Finder Hackathon in Guangzhou, China: Development of a Mobile Health Intervention to Enhance Health Care Utilization. JMIR mHealth and uHealth 2020;8(2):e16030 View
  4. Cunningham-Erves J, Barajas C, Mayo-Gamble T, McAfee C, Hull P, Sanderson M, Canedo J, Beard K, Wilkins C. Formative research to design a culturally-appropriate cancer clinical trial education program to increase participation of African American and Latino communities. BMC Public Health 2020;20(1) View
  5. 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
  6. Aida A, Svensson T, Svensson A, Chung U, Yamauchi T. eHealth Delivery of Educational Content Using Selected Visual Methods to Improve Health Literacy on Lifestyle-Related Diseases: Literature Review. JMIR mHealth and uHealth 2020;8(12):e18316 View
  7. 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
  8. Tamura K, Curlin K, Neally S, Vijayakumar N, Mitchell V, Collins B, Gutierrez-Huerta C, Troendle J, Baumer Y, Osei Baah F, Turner B, Gray V, Tirado B, Ortiz-Chaparro E, Berrigan D, Mehta N, Vaccarino V, Zenk S, Powell-Wiley T. Geospatial Analysis of Neighborhood Environmental Stress in Relation to Biological Markers of Cardiovascular Health and Health Behaviors in Women: Protocol for a Pilot Study. JMIR Research Protocols 2021;10(7):e29191 View
  9. 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
  10. 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
  11. Gasteiger N, Vercell A, Davies A, Dowding D, Khan N, Davies A. Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality. Journal of Community Genetics 2022;13(2):171 View
  12. 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
  13. Jackson J, Leziak K, Niznik C, Yee L. Health Care Providers’ Utilization of and Perspectives on Mobile Health Technology for Diabetes and Pregnancy Support. Diabetes Spectrum 2021;34(3):257 View
  14. Haynes N, Kaur A, Swain J, Joseph J, Brewer L. Community-Based Participatory Research to Improve Cardiovascular Health Among US Racial and Ethnic Minority Groups. Current Epidemiology Reports 2022;9(3):212 View
  15. Bergevi J, Andermo S, Woldamanuel Y, Johansson U, Hagströmer M, Rossen J. User Perceptions of eHealth and mHealth Services Promoting Physical Activity and Healthy Diets: Systematic Review. JMIR Human Factors 2022;9(2):e34278 View
  16. Ormiston C, Rosander A, Taub P. Heart-Healthy Diets and the Cardiometabolic Jackpot. Medical Clinics of North America 2022;106(2):235 View
  17. Goswami A, Poole L, Thorlu-Bangura Z, Khan N, Hanif W, Khunti K, Gill P, Sajid M, Blandford A, Stevenson F, Banerjee A, Ramasawmy M. The Use of Digital Health Interventions for Cardiometabolic Diseases Among South Asian and Black Minority Ethnic Groups: Realist Review. Journal of Medical Internet Research 2023;25:e40630 View
  18. Gu P, Zhang H, Liang Z, Zhang D. Impact of Public Risk Perception in China on the Intention to Use Sports APPs during COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2022;19(19):11915 View
  19. Taffere G, Abebe H, Zerihun Z, Mallen C, Price H, Mulugeta A. Systematic review of community engagement approach in research: describing partnership approaches, challenges and benefits. Journal of Public Health 2024;32(2):185 View
  20. Brannon G, Mitchell S, Liao Y. Addressing privacy concerns for mobile and wearable devices sensors: Small-group interviews with healthy adults and cancer survivors. PEC Innovation 2022;1:100022 View
  21. Thomas V, Metlock F, Hines A, Commodore-Mensah Y, Brewer L. Community-Based Interventions to Address Disparities in Cardiometabolic Diseases Among Minoritized Racial and Ethnic Groups. Current Atherosclerosis Reports 2023;25(8):467 View
  22. Dahiya H, Saini A. Assessing individuals’ attitude and behavioural intention to use dietary and fitness mobile applications: evidence from India. Journal of Indian Business Research 2024 View