An Ecological Framework for Cancer Communication: Implications for Research

An Ecological Framework for Cancer Communication: Implications for Research

An Ecological Framework for Cancer Communication: Implications for Research

Journals

  1. Nahum-Shani I, Smith S, Spring B, Collins L, Witkiewitz K, Tewari A, Murphy S. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Annals of Behavioral Medicine 2018;52(6):446 View
  2. Atienza A, King A, Oliveira B, Ahn D, Gardner C. Using Hand-Held Computer Technologies to Improve Dietary Intake. American Journal of Preventive Medicine 2008;34(6):514 View
  3. Mays D, Cremeens J, Usdan S, Martin R, Arriola K, Bernhardt J. The feasibility of assessing alcohol use among college students using wireless mobile devices: Implications for health education and behavioural research. Health Education Journal 2010;69(3):311 View
  4. Atienza A, Serrano K, Riley W, Moser R, Klein W. Advancing Cancer Prevention and Behavior Theory in the Era of Big Data. Journal of Cancer Prevention 2016;21(3):201 View
  5. Vuong Q. Health communication, information technology and the public’s attitude toward periodic general health examinations. F1000Research 2016;5:2935 View
  6. Tran C, Szumacher E, Di Prospero L. A Pilot Study Evaluating the Usability and Usefulness of a Multi-language Online Patient Education Tool for Patients Undergoing Radiation Treatment: Findings from a Student Project. Journal of Medical Imaging and Radiation Sciences 2012;43(3):181 View
  7. Scott C, Dennis M, Gustafson D. Using smartphones to decrease substance use via self-monitoring and recovery support: study protocol for a randomized control trial. Trials 2017;18(1) View
  8. Norman G, Kolodziejczyk J, Adams M, Patrick K, Marshall S. Fruit and vegetable intake and eating behaviors mediate the effect of a randomized text-message based weight loss program. Preventive Medicine 2013;56(1):3 View
  9. Lister C, West J, Richards R, Crookston B, Hall P, Redelfs A. Technology for health: A qualitative study on barriers to using the iPad for diet change. Health 2013;05(04):761 View
  10. Kreps G, Maibach E. Transdisciplinary Science: The Nexus Between Communication and Public Health. Journal of Communication 2008;58(4):732 View
  11. Patrick K, Griswold W, Raab F, Intille S. Health and the Mobile Phone. American Journal of Preventive Medicine 2008;35(2):177 View
  12. Wang A, An N, Lu X, Chen H, Li C, Levkoff S. A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life. JMIR mhealth and uhealth 2014;2(1):e6 View
  13. Michie S, Yardley L, West R, Patrick K, Greaves F. Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop. Journal of Medical Internet Research 2017;19(6):e232 View
  14. Kumar S, Abowd G, Abraham W, al’Absi M, Gayle Beck J, Chau D, Condie T, Conroy D, Ertin E, Estrin D, Ganesan D, Lam C, Marlin B, Marsh C, Murphy S, Nahum-Shani I, Patrick K, Rehg J, Sharmin M, Shetty V, Sim I, Spring B, Srivastava M, Wetter D. Center of excellence for mobile sensor data-to-knowledge (MD2K). Journal of the American Medical Informatics Association 2015;22(6):1137 View
  15. West J, Hall P, Arredondo V, Berrett B, Guerra B, Farrell J. Health Behavior Theories in Diet Apps. Journal of Consumer Health On the Internet 2013;17(1):10 View
  16. Cabrita M, op den Akker H, Tabak M, Hermens H, Vollenbroek-Hutten M. Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. Journal of Biomedical Informatics 2018;84:17 View
  17. Burton S, Tanner K, Giraud-Carrier C, West J, Barnes M. "Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information. Journal of Medical Internet Research 2012;14(6):e156 View
  18. Reinhart R, D’Alimonte L, Osmar K, Court A, Szumacher E, Bristow B, Robson S, Dawdy K, Burnett J, Di Prospero L. Educating Our Patients Collaboratively: A Novel Interprofessional Approach. Journal of Cancer Education 2014;29(2):382 View
  19. Tsai C, Lee G, Raab F, Norman G, Sohn T, Griswold W, Patrick K. Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance. Mobile Networks and Applications 2007;12(2-3):173 View
  20. Riley W, Serrano K, Nilsen W, Atienza A. Mobile and wireless technologies in health behavior and the potential for intensively adaptive interventions. Current Opinion in Psychology 2015;5:67 View
  21. Shiffman S, Patten C, Gwaltney C, Paty J, Gnys M, Kassel J, Hickcox M, Waters A, Balabanis M. Natural history of nicotine withdrawal. Addiction 2006;101(12):1822 View
  22. Kirchner T, Shiffman S. Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA). Social Psychiatry and Psychiatric Epidemiology 2016;51(9):1211 View
  23. King A, Ahn D, Atienza A, Kraemer H. Exploring Refinements in Targeted Behavioral Medicine Intervention to Advance Public Health. Annals of Behavioral Medicine 2008;35(3):251 View
  24. Thorne S, Oliffe J, Stajduhar K. Communicating shared decision-making: Cancer patient perspectives. Patient Education and Counseling 2013;90(3):291 View
  25. West J, Hall P, Hanson C, Barnes M, Giraud-Carrier C, Barrett J. There’s an App for That: Content Analysis of Paid Health and Fitness Apps. Journal of Medical Internet Research 2012;14(3):e72 View
  26. Neuhauser L, Kreps G. Integrating Design Science Theory and Methods to Improve the Development and Evaluation of Health Communication Programs. Journal of Health Communication 2014;19(12):1460 View
  27. Zani A, Lobbezoo F, Bracci A, Ahlberg J, Manfredini D. Ecological Momentary Assessment and Intervention Principles for the Study of Awake Bruxism Behaviors, Part 1: General Principles and Preliminary Data on Healthy Young Italian Adults. Frontiers in Neurology 2019;10 View
  28. Whitten P, Kreps G, Eastin M. Creating a Framework for Online Cancer Services Research to Facilitate Timely and Interdisciplinary Applications. Journal of Medical Internet Research 2005;7(3):e34 View
  29. Glasgow R, Kurz D, King D, Dickman J, Faber A, Halterman E, Woolley T, Toobert D, Strycker L, Estabrooks P, Osuna D, Ritzwoller D. Twelve-month outcomes of an Internet-based diabetes self-management support program. Patient Education and Counseling 2012;87(1):81 View
  30. Ahern D. Challenges and Opportunities of eHealth Research. American Journal of Preventive Medicine 2007;32(5):S75 View
  31. Neuhauser L, Kreps G. Online cancer communication: Meeting the literacy, cultural and linguistic needs of diverse audiences. Patient Education and Counseling 2008;71(3):365 View
  32. Norman G, Zabinski M, Adams M, Rosenberg D, Yaroch A, Atienza A. A Review of eHealth Interventions for Physical Activity and Dietary Behavior Change. American Journal of Preventive Medicine 2007;33(4):336 View
  33. Vickey T, Ginis K, Dabrowski M, Breslin J. Twitter classification model: the ABC of two million fitness tweets. Translational Behavioral Medicine 2013;3(3):304 View
  34. Hesse B, Greenberg A, Rutten L. The role of Internet resources in clinical oncology: promises and challenges. Nature Reviews Clinical Oncology 2016;13(12):767 View
  35. Klein W, Bloch M, Hesse B, McDonald P, Nebeling L, O’Connell M, Riley W, Taplin S, Tesauro G. Behavioral Research in Cancer Prevention and Control. American Journal of Preventive Medicine 2014;46(3):303 View
  36. Patrick K, Hekler E, Estrin D, Mohr D, Riper H, Crane D, Godino J, Riley W. The Pace of Technologic Change. American Journal of Preventive Medicine 2016;51(5):816 View
  37. Burns M, Begale M, Duffecy J, Gergle D, Karr C, Giangrande E, Mohr D. Harnessing Context Sensing to Develop a Mobile Intervention for Depression. Journal of Medical Internet Research 2011;13(3):e55 View
  38. Atienza A, Hesse B, Baker T, Abrams D, Rimer B, Croyle R, Volckmann L. Critical Issues in eHealth Research. American Journal of Preventive Medicine 2007;32(5):S71 View
  39. Thorne S, Armstrong E, Harris S, Hislop T, Kim-Sing C, Oglov V, Oliffe J, Stajduhar K. Patient Real-Time and 12-Month Retrospective Perceptions of Difficult Communications in the Cancer Diagnostic Period. Qualitative Health Research 2009;19(10):1383 View
  40. Hall K, Oh A, Perez L, Rice E, Patel M, Czajkowski S, Klesges L. The ecology of multilevel intervention research. Translational Behavioral Medicine 2018;8(6):968 View
  41. King A, Ahn D, Oliveira B, Atienza A, Castro C, Gardner C. Promoting Physical Activity Through Hand-Held Computer Technology. American Journal of Preventive Medicine 2008;34(2):138 View
  42. Dunton G, Atienza A, Castro C, King A. Using Ecological Momentary Assessment to Examine Antecedents and Correlates of Physical Activity Bouts in Adults Age 50+ Years: A Pilot Study. Annals of Behavioral Medicine 2009;38(3):249 View
  43. Underhill M, Hong F, Lawrence J, Blonquist T, Syngal S. Relationship between individual and family characteristics and psychosocial factors in persons with familial pancreatic cancer. Psycho-Oncology 2018;27(7):1711 View
  44. Kreps G, Sivaram R. Strategic health communication across the continuum of breast cancer care in limited-resource countries. Cancer 2008;113(S8):2331 View
  45. Burns M, Montague E, Mohr D. Initial Design of Culturally Informed Behavioral Intervention Technologies: Developing an mHealth Intervention for Young Sexual Minority Men With Generalized Anxiety Disorder and Major Depression. Journal of Medical Internet Research 2013;15(12):e271 View
  46. Lee S, Chib A, Kim J. Midwives' Cell Phone Use and Health Knowledge in Rural Communities. Journal of Health Communication 2011;16(9):1006 View
  47. Camacho-Rivera M, Rice S, Oh S, Paris M, Akpara E, Molina J, Obadina M, Mcmillan S, Aracena J, Morency J, Muniz R, Gany F, Brown C, Gonsky J, Osborne J. Cancer Health Impact Program (CHIP): Identifying Social and Demographic Associations of mHealth Access and Cancer Screening Behaviors Among Brooklyn, New York, Residents. Cancer Epidemiology, Biomarkers & Prevention 2019;28(3):478 View
  48. Balaskas A, Schueller S, Cox A, Doherty G, Myers B. Ecological momentary interventions for mental health: A scoping review. PLOS ONE 2021;16(3):e0248152 View
  49. Conley C, Otto A, McDonnell G, Tercyak K. Multiple approaches to enhancing cancer communication in the next decade: translating research into practice and policy. Translational Behavioral Medicine 2021;11(11):2018 View
  50. Urben S, Habersaat S, Palix J, Fegert J, Schmeck K, Bürgin D, Seker S, Boonmann C, Schmid M. Examination of the importance of anger/irritability and limited prosocial emotion/callous-unemotional traits to understand externalizing symptoms and adjustment problems in adolescence: A 10-year longitudinal study. Frontiers in Psychiatry 2022;13 View
  51. Dias L, Vianna H, Barbosa J. Human behaviour data analysis and noncommunicable diseases: a systematic mapping study. Behaviour & Information Technology 2023;42(14):2485 View
  52. Gao Z, Ryu S, Zhou W, Adams K, Hassan M, Zhang R, Blaes A, Wolfson J, Sun J. Effects of personalized exercise prescriptions and social media delivered through mobile health on cancer survivors’ physical activity and quality of life. Journal of Sport and Health Science 2023;12(6):705 View
  53. Turri F, Jones A, Constanty L, Ranjbar S, Drexl K, Miano G, Lepage C, Plessen K, Urben S. Self‐regulatory control processes in youths: A temporal network analysis approach. JCPP Advances 2024;4(1) View
  54. Ward A, McPherson L, Mc Glanaghy E. Discussion Surrounding Theory, Knowledge, and Practical Applications for Clinical Nurse Specialists to Aid Them in Caring for Parents with Cancer Who Have Young Children. Seminars in Oncology Nursing 2023;39(5):151483 View
  55. Xu Z, Smit E. Using a complexity science approach to evaluate the effectiveness of just-in-time adaptive interventions: A meta-analysis. DIGITAL HEALTH 2023;9 View
  56. Wang Q, Ng S, Zhou X, Hossain S. The mechanism and effectiveness of mindfulness-based intervention for reducing the psychological distress of parents of children with autism spectrum disorder: A protocol of randomized control trial of ecological momentary intervention and assessment. PLOS ONE 2023;18(9):e0291168 View

Books/Policy Documents

  1. Pitaloka D. mHealth Innovation in Asia. View
  2. Smyth J, Heron K. Emerging Methods in Family Research. View
  3. Burns M, Mohr D. Encyclopedia of Behavioral Medicine. View
  4. Schulte-Strathaus J, Rauschenberg C, Baumeister H, Reininghaus U. Digital Phenotyping and Mobile Sensing. View