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Citing this Article

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Published on 06.01.16 in Vol 3, No 1 (2016): Jan-Mar

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

Works citing "Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study"

Till Beiwinkel, Sally Kindermann, Andreas Maier, Christopher Kerl, Jörn Moock, Guido Barbian, Wulf Rössler

JMIR Ment Health 2016 (Jan 06); 3(1):e2 

According to Crossref, the following articles are citing this article (DOI 10.2196/mental.4560):

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

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  4. Faurholt-Jepsen M, Geddes JR, Goodwin GM, Bauer M, Duffy A, Vedel Kessing L, Saunders K. Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)—recommendations. Translational Psychiatry 2019;9(1)
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  5. Goodday SM, Cipriani A. Challenges in identifying behavioural markers of bipolar disorder through objective smartphone data. Australian & New Zealand Journal of Psychiatry 2019;53(2):168
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  12. Moran J, Kelly G, Haberlin C, Mockler D, Broderick J. The use of eHealth to promote physical activity in patients with mental health conditions: a systematic review. HRB Open Research 2018;1:5
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  27. Parker GB, Tavella G. Design limitations to bipolar II treatment efficacy studies: A challenge and a revisionist strategy. Journal of Affective Disorders 2018;229:334
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  28. Faurholt-Jepsen M, Busk J, Vinberg M, Christensen EM, Þórarinsdóttir H, Frost M, Bardram JE, Kessing LV. Daily mobility patterns in patients with bipolar disorder and healthy individuals. Journal of Affective Disorders 2021;278:413
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  29. Saunders K, Bilderbeck A, Panchal P, Atkinson L, Geddes J, Goodwin G. Experiences of Remote Mood and Activity Monitoring in Bipolar Disorder: A Qualitative Study. European Psychiatry 2017;41(1):115
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  30. Pennou A, Lecomte T, Potvin S, Khazaal Y. Mobile Intervention for Individuals With Psychosis, Dual Disorders, and Their Common Comorbidities: A Literature Review. Frontiers in Psychiatry 2019;10
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  31. Jacobson NC, Chung YJ. Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones. Sensors 2020;20(12):3572
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  32. Meyer TD, Crist N, La Rosa N, Ye B, Soares JC, Bauer IE. Are existing self‐ratings of acute manic symptoms in adults reliable and valid?—A systematic review. Bipolar Disorders 2020;22(6):558
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  33. Owen JE, Jaworski BK, Kuhn E, Hoffman JE, Schievelbein L, Chang A, Ramsey K, Rosen C. Development of a mobile app for family members of Veterans with PTSD: identifying needs and modifiable factors associated with burden, depression, and anxiety. Journal of Family Studies 2020;26(2):286
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  34. Rohani DA, Faurholt-Jepsen M, Kessing LV, Bardram JE. Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review. JMIR mHealth and uHealth 2018;6(8):e165
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  35. Marshall JM, Dunstan DA, Bartik W. Effectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Design. JMIR Research Protocols 2020;9(7):e17159
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  36. Coelho YL, Bastos-Filho TF. A Bipolar Disorder Monitoring System Based on Wearable Device and Smartphone. IFAC-PapersOnLine 2016;49(30):216
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  37. Moran J, Kelly G, Haberlin C, Mockler D, Broderick J. The use of eHealth to promote physical activity in people with mental health conditions: a systematic review. HRB Open Research 2018;1:5
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  38. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;1(1):87
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  39. Knight A, Bidargaddi N. Commonly available activity tracker apps and wearables as a mental health outcome indicator: A prospective observational cohort study among young adults with psychological distress. Journal of Affective Disorders 2018;236:31
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  40. Di Matteo D, Fotinos K, Lokuge S, Yu J, Sternat T, Katzman MA, Rose J. The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study. JMIR Formative Research 2020;4(8):e18751
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  41. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
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  42. Pham Q, Graham G, Carrion C, Morita PP, Seto E, Stinson JN, Cafazzo JA. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941
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  44. Park DY, Goering EM, Head KJ, Bartlett Ellis RJ. Implications for Training on Smartphone Medication Reminder App Use by Adults With Chronic Conditions: Pilot Study Applying the Technology Acceptance Model. JMIR Formative Research 2017;1(1):e5
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  45. Song K, Lee S, Yoon W, Kim C, Joo Y, Lee J, Chon M. Developing and Clinical Application of a Smartphone Mobile Mood Chart Application in Korean for Patients with Bipolar Disorder. Journal of Korean Neuropsychiatric Association 2018;57(3):244
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  46. Moura I, Teles A, Silva F, Viana D, Coutinho L, Barros F, Endler M. Mental health ubiquitous monitoring supported by social situation awareness: A systematic review. Journal of Biomedical Informatics 2020;107:103454
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  49. Bruen AJ, Wall A, Haines-Delmont A, Perkins E. Exploring Suicidal Ideation Using an Innovative Mobile App-Strength Within Me: The Usability and Acceptability of Setting up a Trial Involving Mobile Technology and Mental Health Service Users. JMIR Mental Health 2020;7(9):e18407
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  50. Taeger J, Bischoff S, Hagen R, Rak K. Utilization of Smartphone Depth Mapping Cameras for App-Based Grading of Facial Movement Disorders: Development and Feasibility Study. JMIR mHealth and uHealth 2021;9(1):e19346
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  51. Liu J, Xu K, Zhu G, Zhang Q, Li X. Effects of smartphone-based interventions and monitoring on bipolar disorder: A systematic review and meta-analysis. World Journal of Psychiatry 2020;10(11):272
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  53. de Moura IR, Teles AS, Endler M, Coutinho LR, da Silva e Silva FJ. Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals. Sensors 2020;21(1):86
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  55. Stanislaus S, Vinberg M, Melbye S, Frost M, Busk J, Bardram JE, Kessing LV, Faurholt-Jepsen M. Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individuals. International Journal of Bipolar Disorders 2020;8(1)
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  56. Moshe I, Terhorst Y, Opoku Asare K, Sander LB, Ferreira D, Baumeister H, Mohr DC, Pulkki-Råback L. Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data. Frontiers in Psychiatry 2021;12
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  59. Fiorinelli M, Di Mario S, Surace A, Mattei M, Russo C, Villa G, Dionisi S, Di Simone E, Giannetta N, Di Muzio M. Smartphone distraction during nursing care: Systematic literature review. Applied Nursing Research 2021;58:151405
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