메뉴 건너뛰기




Volumn 20, Issue 4, 2017, Pages 102-107

The promise of digital mood tracking technologies: Are we heading on the right track?

Author keywords

[No Author keywords available]

Indexed keywords

BIPOLAR DISORDER; DEVICES; HUMAN; MOBILE APPLICATION; MOOD DISORDER; PHYSIOLOGIC MONITORING; PROCEDURES; TELEMEDICINE; TRENDS;

EID: 85032304757     PISSN: 13620347     EISSN: None     Source Type: Journal    
DOI: 10.1136/eb-2017-102757     Document Type: Review
Times cited : (35)

References (44)
  • 3
    • 0031028709 scopus 로고    scopus 로고
    • Complex interaction of the sleep-wake cycle and circadian phase modulates mood in healthy subjects
    • Boivin DB, Czeisler CA, Dijk DJ, et al. Complex interaction of the sleep-wake cycle and circadian phase modulates mood in healthy subjects. Arch Gen Psychiatry 1997;54:145–52.
    • (1997) Arch Gen Psychiatry , vol.54 , pp. 145-152
    • Boivin, D.B.1    Czeisler, C.A.2    Dijk, D.J.3
  • 4
    • 72549102504 scopus 로고    scopus 로고
    • Ecological momentary assessment of mood disorders and mood dysregulation
    • Ebner-Priemer UW, Trull TJ. Ecological momentary assessment of mood disorders and mood dysregulation. Psychol Assess 2009;21:463–75.
    • (2009) Psychol Assess , vol.21 , pp. 463-475
    • Ebner-Priemer, U.W.1    Trull, T.J.2
  • 5
    • 33644542102 scopus 로고    scopus 로고
    • Ecological momentary assessment: What it is and why it is a method of the future in clinical psychopharmacology
    • Moskowitz DS, Young SN. Ecological momentary assessment: what it is and why it is a method of the future in clinical psychopharmacology. J Psychiatry Neurosci 2006;31:13.
    • (2006) J Psychiatry Neurosci , vol.31 , pp. 13
    • Moskowitz, D.S.1    Young, S.N.2
  • 6
    • 85015100873 scopus 로고    scopus 로고
    • Bipolar disorder recurrence prevention using self-monitoring daily mood charts: Case reports from a 5 year period
    • Yasui-Furukori N, Nakamura K. Bipolar disorder recurrence prevention using self-monitoring daily mood charts: case reports from a 5 year period. Neuropsychiatr Dis Treat 2017;13:733–6.
    • (2017) Neuropsychiatr Dis Treat , vol.13 , pp. 733-736
    • Yasui-Furukori, N.1    Nakamura, K.2
  • 7
    • 33744808811 scopus 로고    scopus 로고
    • A procedure for evaluating sensitivity to within-person change: Can mood measures in diary studies detect change reliably?
    • Cranford JA, Shrout PE, Iida M, et al. A procedure for evaluating sensitivity to within-person change: can mood measures in diary studies detect change reliably? Pers Soc Psychol Bull 2006;32:917–29.
    • (2006) Pers Soc Psychol Bull , vol.32 , pp. 917-929
    • Cranford, J.A.1    Shrout, P.E.2    Iida, M.3
  • 8
    • 77953940489 scopus 로고    scopus 로고
    • The longitudinal course of bipolar disorder as revealed through weekly text messaging: A feasibility study
    • Bopp JM, Miklowitz DJ, Goodwin GM, et al. The longitudinal course of bipolar disorder as revealed through weekly text messaging: a feasibility study. Bipolar Disord 2010;12:327–34.
    • (2010) Bipolar Disord , vol.12 , pp. 327-334
    • Bopp, J.M.1    Miklowitz, D.J.2    Goodwin, G.M.3
  • 9
    • 1342269021 scopus 로고    scopus 로고
    • Using technology to improve longitudinal studies: Self-reporting with ChronoRecord in bipolar disorder
    • Bauer M, Grof P, Gyulai L, et al. Using technology to improve longitudinal studies: self-reporting with ChronoRecord in bipolar disorder. Bipolar Disord 2004;6:67–74.
    • (2004) Bipolar Disord , vol.6 , pp. 67-74
    • Bauer, M.1    Grof, P.2    Gyulai, L.3
  • 10
    • 77955052227 scopus 로고    scopus 로고
    • Use of ecological momentary assessment in mood disorders research
    • Wenze SJ, Miller IW. Use of ecological momentary assessment in mood disorders research. Clin Psychol Rev 2010;30:794–804.
    • (2010) Clin Psychol Rev , vol.30 , pp. 794-804
    • Wenze, S.J.1    Miller, I.W.2
  • 12
    • 75149156604 scopus 로고    scopus 로고
    • Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments
    • Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol 2010;15:1–39.
    • (2010) Br J Health Psychol , vol.15 , pp. 1-39
    • Heron, K.E.1    Smyth, J.M.2
  • 13
    • 0036022098 scopus 로고    scopus 로고
    • Capturing momentary, self-report data: A proposal for reporting guidelines
    • Stone AA, Shiffman S. Capturing momentary, self-report data: a proposal for reporting guidelines. Ann Behav Med 2002;24:236–43.
    • (2002) Ann Behav Med , vol.24 , pp. 236-243
    • Stone, A.A.1    Shiffman, S.2
  • 14
    • 0346373727 scopus 로고    scopus 로고
    • The electronic assessment of the longitudinal course of bipolar disorder: The ChronoRecord software
    • Whybrow PC, Grof P, Gyulai L, et al. The electronic assessment of the longitudinal course of bipolar disorder: the ChronoRecord software. Pharmacopsychiatry 2003;36(Suppl 3):244–9.
    • (2003) Pharmacopsychiatry , vol.36 , pp. 244-249
    • Whybrow, P.C.1    Grof, P.2    Gyulai, L.3
  • 15
    • 43449106179 scopus 로고    scopus 로고
    • Self-reporting software for bipolar disorder: Validation of ChronoRecord by patients with mania
    • Bauer M, Wilson T, Neuhaus K, et al. Self-reporting software for bipolar disorder: validation of ChronoRecord by patients with mania. Psychiatry Res 2008;159:359–66.
    • (2008) Psychiatry Res , vol.159 , pp. 359-366
    • Bauer, M.1    Wilson, T.2    Neuhaus, K.3
  • 16
    • 34548448807 scopus 로고    scopus 로고
    • Interventions for helping people recognise early signs of recurrence in bipolar disorder
    • Morriss RK, Faizal MA, Jones AP, et al. Interventions for helping people recognise early signs of recurrence in bipolar disorder. Cochrane Database Syst Rev 2007:CD004854.
    • (2007) Cochrane Database Syst Rev
    • Morriss, R.K.1    Faizal, M.A.2    Jones, A.P.3
  • 17
    • 34347218622 scopus 로고    scopus 로고
    • State affective instability in borderline personality disorder assessed by ambulatory monitoring
    • Ebner-Priemer UW, Kuo J, Kleindienst N, et al. State affective instability in borderline personality disorder assessed by ambulatory monitoring. Psychol Med 2007;37:961–70.
    • (2007) Psychol Med , vol.37 , pp. 961-970
    • Ebner-Priemer, U.W.1    Kuo, J.2    Kleindienst, N.3
  • 18
    • 84939194655 scopus 로고    scopus 로고
    • Mood instability in bipolar disorder type I versus type II-continuous daily electronic self-monitoring of illness activity using smartphones
    • Faurholt-Jepsen M, Ritz C, Frost M, et al. Mood instability in bipolar disorder type I versus type II-continuous daily electronic self-monitoring of illness activity using smartphones. J Affect Disord 2015;186: 342–9.
    • (2015) J Affect Disord , vol.186 , pp. 342-349
    • Faurholt-Jepsen, M.1    Ritz, C.2    Frost, M.3
  • 19
    • 84927665719 scopus 로고    scopus 로고
    • Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder
    • Torous J, Staples P, Shanahan M, et al. Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder. JMIR Ment Health 2015;2:e8.
    • (2015) JMIR Ment Health , vol.2
    • Torous, J.1    Staples, P.2    Shanahan, M.3
  • 20
    • 85016423431 scopus 로고    scopus 로고
    • Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders
    • Place S, Blanch-Hartigan D, Rubin C, et al. Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders. J Med Internet Res 2017;19:e75.
    • (2017) J Med Internet Res , vol.19
    • Place, S.1    Blanch-Hartigan, D.2    Rubin, C.3
  • 21
    • 84938573021 scopus 로고    scopus 로고
    • Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
    • Saeb S, Zhang M, Karr CJ, et al. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. J Med Internet Res 2015;17:e175.
    • (2015) J Med Internet Res , vol.17
    • Saeb, S.1    Zhang, M.2    Karr, C.J.3
  • 22
    • 84991373429 scopus 로고    scopus 로고
    • The relationship between mobile phone location sensor data and depressive symptom severity
    • Saeb S, Lattie EG, Schueller SM, et al. The relationship between mobile phone location sensor data and depressive symptom severity. PeerJ 2016;4:e2537.
    • (2016) Peerj , vol.4
    • Saeb, S.1    Lattie, E.G.2    Schueller, S.M.3
  • 23
    • 84960089919 scopus 로고    scopus 로고
    • Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health
    • Ben-Zeev D, Scherer EA, Wang R, et al. Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. Psychiatr Rehabil J 2015;38:218–26.
    • (2015) Psychiatr Rehabil J , vol.38 , pp. 218-226
    • Ben-Zeev, D.1    Scherer, E.A.2    Wang, R.3
  • 24
    • 84920997708 scopus 로고    scopus 로고
    • Smartphone-based recognition of states and state changes in bipolar disorder patients
    • Grünerbl A, Muaremi A, Osmani V, et al. Smartphone-based recognition of states and state changes in bipolar disorder patients. IEEE J Biomed Health Inform 2015;19:140–8.
    • (2015) IEEE J Biomed Health Inform , vol.19 , pp. 140-148
    • Grünerbl, A.1    Muaremi, A.2    Osmani, V.3
  • 25
    • 85029229029 scopus 로고    scopus 로고
    • Detecting bipolar depression from geographic location data
    • Palmius N, Tsanas A, Saunders KEA, et al. Detecting bipolar depression from geographic location data. IEEE Trans Biomed Eng 2017;64:1761–71.
    • (2017) IEEE Trans Biomed Eng , vol.64 , pp. 1761-1771
    • Palmius, N.1    Tsanas, A.2    Saunders, K.E.A.3
  • 28
    • 84871729584 scopus 로고    scopus 로고
    • Associating depressive symptoms in college students with internet usage using real Internet data
    • Katikalapudi R, Chellappan S, Montgomery F, et al. Associating depressive symptoms in college students with internet usage using real Internet data. IEEE Technology and Society Magazine 2012;31:73–80.
    • (2012) IEEE Technology and Society Magazine , vol.31 , pp. 73-80
    • Katikalapudi, R.1    Chellappan, S.2    Montgomery, F.3
  • 32
    • 84978938331 scopus 로고    scopus 로고
    • Automatic detection of social rhythms in bipolar disorder
    • Abdullah S, Matthews M, Frank E, et al. Automatic detection of social rhythms in bipolar disorder. J Am Med Inform Assoc 2016;23:538–43.
    • (2016) J am Med Inform Assoc , vol.23 , pp. 538-543
    • Abdullah, S.1    Matthews, M.2    Frank, E.3
  • 34
    • 84975769750 scopus 로고    scopus 로고
    • Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: A systematic review and meta-analysis
    • Alvares GA, Quintana DS, Hickie IB, et al. Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: a systematic review and meta-analysis. J Psychiatry Neurosci 2016;41: 89–104.
    • (2016) J Psychiatry Neurosci , vol.41 , pp. 89-104
    • Alvares, G.A.1    Quintana, D.S.2    Hickie, I.B.3
  • 36
    • 84904155469 scopus 로고    scopus 로고
    • Wearable monitoring for mood recognition in bipolar disorder based on history-dependent long-term heart rate variability analysis
    • Valenza G, Nardelli M, Lanatà A, et al. Wearable monitoring for mood recognition in bipolar disorder based on history-dependent long-term heart rate variability analysis. IEEE J Biomed Health Inform 2014;18:1625–35.
    • (2014) IEEE J Biomed Health Inform , vol.18 , pp. 1625-1635
    • Valenza, G.1    Nardelli, M.2    Lanatà, A.3
  • 38
    • 84879684634 scopus 로고    scopus 로고
    • Towards long term monitoring of electrodermal activity in daily life
    • Kappeler-Setz C, Gravenhorst F, Schumm J, et al. Towards long term monitoring of electrodermal activity in daily life. Pers Ubiquitous Comput 2013;17:261–71.
    • (2013) Pers Ubiquitous Comput , vol.17 , pp. 261-271
    • Kappeler-Setz, C.1    Gravenhorst, F.2    Schumm, J.3
  • 39
    • 84989939230 scopus 로고    scopus 로고
    • Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder
    • Tsanas A, Saunders KE, Bilderbeck AC, et al. Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder. J Affect Disord 2016;205:225–33.
    • (2016) J Affect Disord , vol.205 , pp. 225-233
    • Tsanas, A.1    Saunders, K.E.2    Bilderbeck, A.C.3
  • 40
    • 85002202399 scopus 로고    scopus 로고
    • Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges
    • Harari GM, Lane ND, Wang R, et al. Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges. Perspect Psychol Sci 2016;11:838–54.
    • (2016) Perspect Psychol Sci , vol.11 , pp. 838-854
    • Harari, G.M.1    Lane, N.D.2    Wang, R.3
  • 42
    • 84879210542 scopus 로고    scopus 로고
    • Assessing your mood online: Acceptability and use of Moodscope
    • Drake G, Csipke E, Wykes T. Assessing your mood online: acceptability and use of Moodscope. Psychol Med 2013;43:1455–64.
    • (2013) Psychol Med , vol.43 , pp. 1455-1464
    • Drake, G.1    Csipke, E.2    Wykes, T.3
  • 43
    • 85018442029 scopus 로고    scopus 로고
    • Mood Zoom could be a promising tool for daily mood variability monitoring, potentially differentiating bipolar from borderline patients
    • Isometsä E. Mood Zoom could be a promising tool for daily mood variability monitoring, potentially differentiating bipolar from borderline patients. Evid Based Ment Health 2017;20:e9.
    • (2017) Evid Based Ment Health , vol.20
    • Isometsä, E.1
  • 44
    • 85032307544 scopus 로고    scopus 로고
    • Helping universities combat depression with mobile technology [Internet
    • cited 27 July
    • Zhang M, Mohr D, Meng J. Helping universities combat depression with mobile technology [Internet]. The Conversation 2017 http://theconversation.com/ helping-universities-combat-depression-with-mobile-technology-67033 (cited 27 July 2017).
    • (2017) The Conversation 2017
    • Zhang, M.1    Mohr, D.2    Meng, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.