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Citing this Article

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Published on 28.07.16 in Vol 4, No 3 (2016): Jul-Sept

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

Works citing "Usage and Dose Response of a Mobile Acceptance and Commitment Therapy App: Secondary Analysis of the Intervention Arm of a Randomized Controlled Trial"

Elina Mattila, Raimo Lappalainen, Pasi Välkkynen, Essi Sairanen, Päivi Lappalainen, Leila Karhunen, Katri Peuhkuri, Riitta Korpela, Marjukka Kolehmainen, Miikka Ermes

JMIR Mhealth Uhealth 2016 (Jul 28); 4(3):e90 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5241):

(note that this is only a small subset of citations)

  1. Murphy D, Slovak P, Thieme A, Jackson D, Olivier P, Fitzpatrick G. Developing technology to enhance learning interpersonal skills in counsellor education. British Journal of Guidance & Counselling 2019;47(3):328
    CrossRef
  2. Zeng Y, Guo Y, Li L, Hong YA, Li Y, Zhu M, Zeng C, Zhang H, Cai W, Liu C, Wu S, Chi P, Monroe-Wise A, Hao Y, Ho RTH. Relationship Between Patient Engagement and Depressive Symptoms Among People Living With HIV in a Mobile Health Intervention: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e20847
    CrossRef
  3. Short CE, DeSmet A, Woods C, Williams SL, Maher C, Middelweerd A, Müller AM, Wark PA, Vandelanotte C, Poppe L, Hingle MD, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292
    CrossRef
  4. Kroska EB, Hoel S, Victory A, Murphy SA, McInnis MG, Stowe ZN, Cochran A. Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials. JMIR Research Protocols 2020;9(9):e17086
    CrossRef
  5. Fukuoka Y, Haskell W, Lin F, Vittinghoff E. Short- and Long-term Effects of a Mobile Phone App in Conjunction With Brief In-Person Counseling on Physical Activity Among Physically Inactive Women. JAMA Network Open 2019;2(5):e194281
    CrossRef
  6. Radomski AD, Bagnell A, Curtis S, Hartling L, Newton AS. Examining the Usage, User Experience, and Perceived Impact of an Internet-Based Cognitive Behavioral Therapy Program for Adolescents With Anxiety: Randomized Controlled Trial. JMIR Mental Health 2020;7(2):e15795
    CrossRef
  7. Murray JM, French DP, Patterson CC, Kee F, Gough A, Tang J, Hunter RF. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394
    CrossRef
  8. Marcelle ET, Nolting L, Hinshaw SP, Aguilera A. Effectiveness of a Multimodal Digital Psychotherapy Platform for Adult Depression: A Naturalistic Feasibility Study. JMIR mHealth and uHealth 2019;7(1):e10948
    CrossRef
  9. Levin ME, Haeger J, Cruz RA. Tailoring Acceptance and Commitment Therapy Skill Coaching in the Moment Through Smartphones: Results from a Randomized Controlled Trial. Mindfulness 2019;10(4):689
    CrossRef
  10. Levin ME, Navarro C, Cruz RA, Haeger J. Comparing in-the-moment skill coaching effects from tailored versus non-tailored acceptance and commitment therapy mobile apps in a non-clinical sample. Cognitive Behaviour Therapy 2019;48(3):200
    CrossRef
  11. Järvelä-Reijonen E, Puttonen S, Karhunen L, Sairanen E, Laitinen J, Kolehmainen M, Pihlajamäki J, Kujala UM, Korpela R, Ermes M, Lappalainen R, Kolehmainen M. The Effects of Acceptance and Commitment Therapy (ACT) Intervention on Inflammation and Stress Biomarkers: a Randomized Controlled Trial. International Journal of Behavioral Medicine 2020;27(5):539
    CrossRef
  12. Zhang R, Nicholas J, Knapp AA, Graham AK, Gray E, Kwasny MJ, Reddy M, Mohr DC. Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study. Journal of Medical Internet Research 2019;21(12):e15644
    CrossRef
  13. Järvelä-Reijonen E, Karhunen L, Sairanen E, Muotka J, Lindroos S, Laitinen J, Puttonen S, Peuhkuri K, Hallikainen M, Pihlajamäki J, Korpela R, Ermes M, Lappalainen R, Kolehmainen M. The effects of acceptance and commitment therapy on eating behavior and diet delivered through face-to-face contact and a mobile app: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1)
    CrossRef
  14. Lawlor ER, Islam N, Bates S, Griffin SJ, Hill AJ, Hughes CA, Sharp SJ, Ahern AL. Third‐wave cognitive behaviour therapies for weight management: A systematic review and network meta‐analysis. Obesity Reviews 2020;21(7)
    CrossRef
  15. Chow PI, Drago F, Kennedy EM, Cohn WF. A Novel Mobile Phone App Intervention With Phone Coaching to Reduce Symptoms of Depression in Survivors of Women’s Cancer: Pre-Post Pilot Study. JMIR Cancer 2020;6(1):e15750
    CrossRef
  16. Schmidt CA, Romine JK, Bell ML, Armin J, Gordon JS. User Participation and Engagement With the See Me Smoke-Free mHealth App: Prospective Feasibility Trial. JMIR mHealth and uHealth 2017;5(10):e142
    CrossRef
  17. Katzman WB, Gladin A, Lane NE, Wong S, Liu F, Jin C, Fukuoka Y. Feasibility and Acceptability of Technology-Based Exercise and Posture Training in Older Adults With Age-Related Hyperkyphosis: Pre-Post Study. JMIR Aging 2019;2(1):e12199
    CrossRef
  18. Enrique A, Palacios JE, Ryan H, Richards D. Exploring the Relationship Between Usage and Outcomes of an Internet-Based Intervention for Individuals With Depressive Symptoms: Secondary Analysis of Data From a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(8):e12775
    CrossRef
  19. Kozlov E, Bantum E, Pagano I, Walser R, Ramsey K, Taylor K, Jaworski B, Owen J. The Reach, Use, and Impact of a Free mHealth Mindfulness App in the General Population: Mobile Data Analysis. JMIR Mental Health 2020;7(11):e23377
    CrossRef
  20. Rauseo-Ricupero N, Torous J. Technology Enabled Clinical Care (TECC): Protocol for a Prospective Longitudinal Cohort Study of Smartphone-Augmented Mental Health Treatment. JMIR Research Protocols 2021;10(1):e23771
    CrossRef
  21. Elison-Davies S, Wardell JD, Quilty LC, Ward J, Davies G. Examining correlates of cannabis users' engagement with a digital intervention for substance use disorder: An observational study of clients in UK services delivering Breaking Free Online. Journal of Substance Abuse Treatment 2021;123:108261
    CrossRef
  22. Matis J, Svetlak M, Slezackova A, Svoboda M, Šumec R. Mindfulness-Based Programs for Patients With Cancer via eHealth and Mobile Health: Systematic Review and Synthesis of Quantitative Research. Journal of Medical Internet Research 2020;22(11):e20709
    CrossRef
  23. Watson-Singleton NN, Pennefather J, Trusty T. Can a culturally-responsive Mobile health (mHealth) application reduce African Americans’ stress?: A pilot feasibility study. Current Psychology 2023;42(2):1434
    CrossRef
  24. Hemmings NR, Kawadler JM, Whatmough R, Ponzo S, Rossi A, Morelli D, Bird G, Plans D. Development and Feasibility of a Digital Acceptance and Commitment Therapy–Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study. JMIR Formative Research 2021;5(2):e21737
    CrossRef
  25. Li H, Yang S, Chi H, Xu L, Zhang T, Singleton G, Tang Y, Stone WS, Wang J. Enhancing attention and memory of individuals at clinical high risk for psychosis with mHealth technology. Asian Journal of Psychiatry 2021;58:102587
    CrossRef
  26. Borghouts J, Eikey E, Mark G, De Leon C, Schueller SM, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin DH. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387
    CrossRef
  27. Psihogios AM, King-Dowling S, O’Hagan B, Darabos K, Maurer L, Young J, Fleisher L, Barakat LP, Szalda D, Hill-Kayser CE, Schwartz LA. Contextual Predictors of Engagement in a Tailored mHealth Intervention for Adolescent and Young Adult Cancer Survivors. Annals of Behavioral Medicine 2021;55(12):1220
    CrossRef
  28. Aulbach MB, Knittle K, Barbara van Beurden S, Haukkala A, Lawrence NS. App-based food Go/No-Go training: user engagement and dietary intake in an opportunistic observational study. Appetite 2021;:105315
    CrossRef
  29. Hämäläinen T, Kaipainen K, Lappalainen P, Puolakanaho A, Keinonen K, Lappalainen R, Kiuru N. Usage activity, perceived usefulness, and satisfaction in a web-based acceptance and commitment therapy program among Finnish ninth-grade adolescents. Internet Interventions 2021;25:100421
    CrossRef
  30. Lappalainen P, Lappalainen R, Keinonen K, Kaipainen K, Puolakanaho A, Muotka J, Kiuru N. In the shadow of COVID-19: A randomized controlled online ACT trial promoting adolescent psychological flexibility and self-compassion. Journal of Contextual Behavioral Science 2023;27:34
    CrossRef
  31. Baglione AN, Cai L, Bahrini A, Posey I, Boukhechba M, Chow PI. Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study. JMIR Medical Informatics 2022;10(6):e30712
    CrossRef
  32. Elison-Davies S, Newsome J, Jones A, Davies G, Ward J. Associations between psychosocial risk factors, and changes in substance dependence and psychosocial functioning, during engagement with digital cognitive behavioral therapy for methamphetamine use: use of 'Breaking Free from Substance Abuse' by incarcerated people during the COVID-19 pandemic. Health & Justice 2022;10(1)
    CrossRef
  33. Wang Y, Wu T, Chen Z. Active Usage of Mobile Health Applications: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e25330
    CrossRef
  34. Honka AM, Nieminen H, Simila H, Kaartinen J, Gils MV. A Comprehensive User Modeling Framework and a Recommender System for Personalizing Well-Being Related Behavior Change Interventions: Development and Evaluation. IEEE Access 2022;10:116766
    CrossRef
  35. Kernebeck S, Busse TS, Ehlers JP, Vollmar HC. Adhärenz digitaler Interventionen im Gesundheitswesen: Definitionen, Methoden und offene Fragen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(10):1278
    CrossRef
  36. Cumpanasoiu DC, Enrique A, Palacios JE, Duffy D, McNamara S, Richards D. Trajectories of Symptoms in Digital Interventions for Depression and Anxiety Using Routine Outcome Monitoring Data: Secondary Analysis Study. JMIR mHealth and uHealth 2023;11:e41815
    CrossRef
  37. Su L, Anderson PL. User Behavior of a Publicly Available, Free-to-Use, Self-guided mHealth App for Depression: Observational Study in a Global Sample. JMIR Formative Research 2022;6(10):e35538
    CrossRef
  38. Lavikainen P, Mattila E, Absetz P, Harjumaa M, Lindström J, Järvelä-Reijonen E, Aittola K, Männikkö R, Tilles-Tirkkonen T, Lintu N, Lakka T, van Gils M, Pihlajamäki J, Martikainen J. Digitally Supported Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Secondary Analysis of Long-Term User Engagement Trajectories in a Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(2):e31530
    CrossRef
  39. Cochran A, Maronge JM, Victory A, Hoel S, McInnis MG, Thomas EB. Mobile Acceptance and Commitment Therapy in Bipolar Disorder: Microrandomized Trial. JMIR Mental Health 2023;10:e43164
    CrossRef
  40. Geiger S, Steinbach J, Skoda E, Jahre L, Rentrop V, Kocol D, Jansen C, Schüren L, Niedergethmann M, Teufel M, Bäuerle A. Needs and Demands for e-Mental Health Interventions in Individuals with Overweight and Obesity: User-Centred Design Approach. Obesity Facts 2023;16(2):173
    CrossRef
  41. Hämäläinen T, Kaipainen K, Keinonen K, Lappalainen P, Puolakanaho A, Lappalainen R, Kiuru N. The Roles of Adherence and Usage Activity in Adolescents’ Intervention Gains During Brief Guided Online Acceptance and Commitment Therapy. Journal of Cognitive Psychotherapy 2023;37(3):187
    CrossRef
  42. Lipschitz JM, Pike CK, Hogan TP, Murphy SA, Burdick KE. The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward. Current Treatment Options in Psychiatry 2023;10(3):119
    CrossRef
  43. Zheng S, Edney SM, Goh CH, Tai BC, Mair JL, Castro O, Salamanca-Sanabria A, Kowatsch T, van Dam RM, Müller-Riemenschneider F. Effectiveness of holistic mobile health interventions on diet, and physical, and mental health outcomes: a systematic review and meta-analysis. eClinicalMedicine 2023;66:102309
    CrossRef
  44. Metzendorf M, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2)
    CrossRef
  45. Grahlher K, Morgenstern M, Pietsch B, Gomes de Matos E, Rossa M, Lochbühler K, Daubmann A, Thomasius R, Arnaud N. Mobile App Intervention to reduce Substance Use, Gambling and Digital Media Use in Vocational School Students: Exploratory Analysis of the Intervention Arm of a Randomized Controlled Trial (Preprint). JMIR mHealth and uHealth 2023;
    CrossRef
  46. Gordon TC, Kemp AH, Edwards DJ. Mixed-methods feasibility outcomes for a novel ACT-based video game ‘ACTing Minds’ to support mental health. BMJ Open 2024;14(3):e080972
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.5241):

  1. Kernebeck S, Busse TS, Vollmar HC. E-Health-Ökonomie II. 2022. Chapter 4:47
    CrossRef