Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study

Background Cognitive symptoms are common in major depressive disorder and may help to identify patients who need treatment or who are not experiencing adequate treatment response. Digital tools providing real-time data assessing cognitive function could help support patient treatment and remediation of cognitive and mood symptoms. Objective The aim of this study was to examine feasibility and validity of a wearable high-frequency cognitive and mood assessment app over 6 weeks, corresponding to when antidepressant pharmacotherapy begins to show efficacy. Methods A total of 30 patients (aged 19-63 years; 19 women) with mild-to-moderate depression participated in the study. The new Cognition Kit app was delivered via the Apple Watch, providing a high-resolution touch screen display for task presentation and logging responses. Cognition was assessed by the n-back task up to 3 times daily and depressed mood by 3 short questions once daily. Adherence was defined as participants completing at least 1 assessment daily. Selected tests sensitive to depression from the Cambridge Neuropsychological Test Automated Battery and validated questionnaires of depression symptom severity were administered on 3 occasions (weeks 1, 3, and 6). Exploratory analyses examined the relationship between mood and cognitive measures acquired in low- and high-frequency assessment. Results Adherence was excellent for mood and cognitive assessments (95% and 96%, respectively), did not deteriorate over time, and was not influenced by depression symptom severity or cognitive function at study onset. Analyses examining the relationship between high-frequency cognitive and mood assessment and validated measures showed good correspondence. Daily mood assessments correlated moderately with validated depression questionnaires (r=0.45-0.69 for total daily mood score), and daily cognitive assessments correlated moderately with validated cognitive tests sensitive to depression (r=0.37-0.50 for mean n-back). Conclusions This study supports the feasibility and validity of high-frequency assessment of cognition and mood using wearable devices over an extended period in patients with major depressive disorder.

[1]  W. Revelle,et al.  Analyzing dynamic data: A tutorial , 2017, Personality and Individual Differences.

[2]  L. Thompson,et al.  Memory complaint and performance in normal and depressed older adults. , 1982, Experimental aging research.

[3]  Kathryn M. McMillan,et al.  N‐back working memory paradigm: A meta‐analysis of normative functional neuroimaging studies , 2005, Human brain mapping.

[4]  David E. Goodrich,et al.  An Online Community Improves Adherence in an Internet-Mediated Walking Program. Part 1: Results of a Randomized Controlled Trial , 2010, Journal of medical Internet research.

[5]  I. Hickie,et al.  Neuropsychological and functional outcomes in recent-onset major depression, bipolar disorder and schizophrenia-spectrum disorders: a longitudinal cohort study , 2015, Translational Psychiatry.

[6]  B. Sahakian,et al.  Cognition as a treatment target in depression , 2016, Psychological Medicine.

[7]  J. Teasdale,et al.  Diurnal variation in clinical depression and accessibility of memories of positive and negative experiences , 1982 .

[8]  Vikram Patel,et al.  Depression, chronic diseases, and decrements in health: results from the World Health Surveys , 2007, The Lancet.

[9]  C. Bowie,et al.  Relationships among neurocognition, symptoms, and functioning in treatment-resistant depression. , 2013, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[10]  D. Kupfer,et al.  Presenting characteristics of depressed outpatients as a function of recurrence: preliminary findings from the STAR*D clinical trial. , 2006, Journal of psychiatric research.

[11]  Kate Herd,et al.  The application of mHealth to mental health: opportunities and challenges. , 2015, The lancet. Psychiatry.

[12]  G. Clifford,et al.  Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder , 2016, Journal of affective disorders.

[13]  Å. Hammar,et al.  Cognitive Functioning in Major Depression – A Summary , 2009, Front. Hum. Neurosci..

[14]  R. Schoevers,et al.  Experience sampling and ecological momentary assessment studies in psychopharmacology: A systematic review , 2015, European Neuropsychopharmacology.

[15]  Letitia Anne Peplau,et al.  The Revised UCLA Loneliness Scale: Concurrent and Discriminant Validity Evidence , 1980 .

[16]  John Torous,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 , 2015, JMIR mental health.

[17]  B. Forsyth,et al.  Patient-centered assessment of cognitive symptoms of depression , 2013, CNS Spectrums.

[18]  U. Knorr,et al.  Cognitive impairment in the remitted state of unipolar depressive disorder: a systematic review. , 2011, Journal of affective disorders.

[19]  E. Bora,et al.  Cognitive impairment in euthymic major depressive disorder: a meta-analysis , 2012, Psychological Medicine.

[20]  S. Julious,et al.  An audit of sample sizes for pilot and feasibility trials being undertaken in the United Kingdom registered in the United Kingdom Clinical Research Network database , 2013, BMC Medical Research Methodology.

[21]  B. Löwe,et al.  Detecting and monitoring depression with a two-item questionnaire (PHQ-2). , 2005, Journal of psychosomatic research.

[22]  R. Lee,et al.  A meta-analysis of cognitive deficits in first-episode Major Depressive Disorder. , 2012, Journal of affective disorders.

[23]  Adam Gazzaley,et al.  Conducting a fully mobile and randomised clinical trial for depression: access, engagement and expense , 2016, BMJ Innovations.

[24]  J. Roiser,et al.  Cognitive impairment in depression: a systematic review and meta-analysis , 2013, Psychological Medicine.

[25]  Mei-Chiung Shih,et al.  Affect and Sexual Behavior in Adolescents: A Review of the Literature and Comparison of Momentary Sampling With Diary and Retrospective Self-Report Methods of Measurement , 2005, Pediatrics.

[26]  Richard N. Landers,et al.  Gamification of task performance with leaderboards: A goal setting experiment , 2017, Comput. Hum. Behav..

[27]  R. Lam,et al.  The relationship between neurocognitive and psychosocial functioning in major depressive disorder: a systematic review. , 2014, The Journal of clinical psychiatry.

[28]  B. Baune,et al.  The role of cognitive impairment in general functioning in major depression , 2010, Psychiatry Research.

[29]  T. Hänninen,et al.  Mood improvement reduces memory complaints in depressed patients , 2001, European Archives of Psychiatry and Clinical Neuroscience.

[30]  T. Robbins,et al.  Planning and spatial working memory following frontal lobe lesions in man , 1990, Neuropsychologia.

[31]  R. Lam,et al.  Systematic review of neurocognition and occupational functioning in major depressive disorder , 2013 .

[32]  R. Lam,et al.  Psychometric validation of the Perceived Deficits Questionnaire-Depression (PDQ-D) instrument in US and UK respondents with major depressive disorder , 2018, Neuropsychiatric disease and treatment.

[33]  R. Spitzer,et al.  The PHQ-9 , 2001, Journal of General Internal Medicine.

[34]  W. McCall,et al.  Cognitive deficits are associated with functional impairment in severely depressed patients , 2003, Psychiatry Research.

[35]  K. Duff,et al.  Practice Effects: A Unique Cognitive Variable , 2012, The Clinical neuropsychologist.

[36]  Michael L. Hess,et al.  A pilot study of an Internet walking program and pedometer in COPD. , 2012, Respiratory medicine.

[37]  R. de Graaf,et al.  Mediators of the association between depression and role functioning , 2008, Acta psychiatrica Scandinavica.

[38]  I. Miller,et al.  Use of ecological momentary assessment in mood disorders research. , 2010, Clinical psychology review.

[39]  P. de Jonge,et al.  Presence of individual (residual) symptoms during depressive episodes and periods of remission: a 3-year prospective study , 2010, Psychological Medicine.

[40]  G. Freedman,et al.  Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010 , 2013, PLoS medicine.

[41]  M. Husain,et al.  Association between depression severity and neurocognitive function in major depressive disorder: a review and synthesis. , 2010, Neuropsychology.

[42]  Dermot Phelan,et al.  Accuracy of Wrist-Worn Heart Rate Monitors , 2017, JAMA cardiology.

[43]  Byungtae Lee,et al.  Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients , 2016, Journal of medical Internet research.

[44]  Hannah R. Snyder Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review. , 2013, Psychological bulletin.

[45]  F. Deane,et al.  Do goal-setting interventions improve the quality of goals in mental health services? , 2009, Psychiatric rehabilitation journal.

[46]  I. Hickie,et al.  Disability in major depression related to self-rated and objectively-measured cognitive deficits: a preliminary study , 2007, BMC psychiatry.

[47]  R. Bornstein,et al.  Relative memory deficits in recurrent versus first-episode major depression on a word-list learning task. , 1999, Neuropsychology.

[48]  R. McIntyre,et al.  Cognitive Deficits as a Mediator of Poor Occupational Function in Remitted Major Depressive Disorder Patients , 2016, Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology.

[49]  M. Semkovska,et al.  Cognitive Functioning in the First-Episode of Major Depressive Disorder: A Systematic Review and Meta-Analysis , 2017, Neuropsychology.

[50]  S. Shiffman,et al.  Ecological momentary assessment. , 2008, Annual review of clinical psychology.

[51]  Juho Hamari,et al.  Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification , 2014, 2014 47th Hawaii International Conference on System Sciences.

[52]  Arthur F Kramer,et al.  Performance of a computer‐based assessment of cognitive function measures in two cohorts of seniors , 2013, International journal of geriatric psychiatry.

[53]  B. Sahakian,et al.  The Effects of Nicotine on Attention, Information Processing, and Short-Term Memory in Patients with Dementia of the Alzheimer Type , 1989, British Journal of Psychiatry.