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

Methods and New Tools in Mental Health Research (463) Research Instruments, Questionnaires, and Tools (589) mHealth for Data Collection and Research (981) Depression and Mood Disorders; Suicide Prevention (1392)

Published on in Vol 4, No 2 (2017): Apr-Jun

Clinical Insight Into Latent Variables of Psychiatric Questionnaires for Mood Symptom Self-Assessment

Clinical Insight Into Latent Variables of Psychiatric Questionnaires for Mood Symptom Self-Assessment

Clinical Insight Into Latent Variables of Psychiatric Questionnaires for Mood Symptom Self-Assessment

Authors of this article:

Athanasios Tsanas1, 2 Author Orcid Image ;   Kate Saunders3, 4 Author Orcid Image ;   Amy Bilderbeck3 Author Orcid Image ;   Niclas Palmius2 Author Orcid Image ;   Guy Goodwin3 Author Orcid Image ;   Maarten De Vos2 Author Orcid Image
Article Authors Cited by (17) Tweetations (9) Metrics

Journals

  1. Carr O, Saunders K, Tsanas A, Bilderbeck A, Palmius N, Geddes J, Foster R, Goodwin G, De Vos M. Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder. Scientific Reports 2018;8(1) View
  2. Melbye S, Stanislaus S, Vinberg M, Frost M, Bardram J, Sletved K, Coello K, Kjærstad H, Christensen E, Faurholt-Jepsen M, Kessing L. Mood, activity, and sleep measured via daily smartphone-based self-monitoring in young patients with newly diagnosed bipolar disorder, their unaffected relatives and healthy control individuals. European Child & Adolescent Psychiatry 2021;30(8):1209 View
  3. Atkinson L, Colbourne L, Smith A, Harmer C, Nobre A, Rendell J, Jones H, Hinds C, Mould A, Tunbridge E, Cipriani A, Geddes J, Saunders K, Harrison P. The Oxford study of Calcium channel Antagonism, Cognition, Mood instability and Sleep (OxCaMS): study protocol for a randomised controlled, experimental medicine study. Trials 2019;20(1) View
  4. Tsanas A, Woodward E, Ehlers A. Objective Characterization of Activity, Sleep, and Circadian Rhythm Patterns Using a Wrist-Worn Actigraphy Sensor: Insights Into Posttraumatic Stress Disorder. JMIR mHealth and uHealth 2020;8(4):e14306 View
  5. Palmius N, Saunders K, Carr O, Geddes J, Goodwin G, De Vos M. Group-Personalized Regression Models for Predicting Mental Health Scores From Objective Mobile Phone Data Streams: Observational Study. Journal of Medical Internet Research 2018;20(10):e10194 View
  6. Faurholt‐Jepsen M, Frost M, Christensen E, Bardram J, Vinberg M, Kessing L. The association between mixed symptoms, irritability and functioning measured using smartphones in bipolar disorder. Acta Psychiatrica Scandinavica 2019;139(5):443 View
  7. Carr O, Saunders K, Bilderbeck A, Tsanas A, Palmius N, Geddes J, Foster R, De Vos M, Goodwin G. Desynchronization of diurnal rhythms in bipolar disorder and borderline personality disorder. Translational Psychiatry 2018;8(1) View
  8. Meyer T, Crist N, La Rosa N, Ye B, Soares J, Bauer I. Are existing self‐ratings of acute manic symptoms in adults reliable and valid?—A systematic review. Bipolar Disorders 2020;22(6):558 View
  9. Stanislaus S, Vinberg M, Melbye S, Frost M, Busk J, Bardram J, Kessing L, 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) View
  10. Gillett G, McGowan N, Palmius N, Bilderbeck A, Goodwin G, Saunders K. Digital Communication Biomarkers of Mood and Diagnosis in Borderline Personality Disorder, Bipolar Disorder, and Healthy Control Populations. Frontiers in Psychiatry 2021;12 View
  11. Förstner B, Tschorn M, Reinoso-Schiller N, Maričić L, Röcher E, Kalman J, Stroth S, Mayer A, Schwarz K, Kaiser A, Pfennig A, Manook A, Ising M, Heinig I, Pittig A, Heinz A, Mathiak K, Schulze T, Schneider F, Kamp-Becker I, Meyer-Lindenberg A, Padberg F, Banaschewski T, Bauer M, Rupprecht R, Wittchen H, Rapp M. Mapping Research Domain Criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis. European Archives of Psychiatry and Clinical Neuroscience 2023;273(3):527 View
  12. Tsanas A. Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool. Patterns 2022;3(5):100471 View
  13. Tsanas A, Arora S. Data-Driven Subtyping of Parkinson’s Using Acoustic Analysis of Sustained Vowels and Cluster Analysis: Findings in the Parkinson’s Voice Initiative Study. SN Computer Science 2022;3(3) View
  14. Stanislaus S, Faurholt-Jepsen M, Vinberg M, Poulsen H, Kessing L, Coello K. Associations between oxidative stress markers and patient-reported smartphone-based symptoms in patients newly diagnosed with bipolar disorder: An exploratory study. European Neuropsychopharmacology 2022;62:36 View
  15. Jin J, Qi G, Yu Z, Chatterjee N. Mendelian randomization analysis using multiple biomarkers of an underlying common exposure. Biostatistics 2024;25(4):1015 View
  16. Jiang B, Li N, Xue X, Wang L, Hong L, Wu C, Zhang J, Chao X, Li W, Liu W, Huang L, Liu Y, Zhang S, Qin Y, Li X, Wang Z. The relationship between anxiety symptoms and disturbances in biological rhythms in patients with depression. Journal of Psychiatric Research 2024;174:297 View