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

Depression and Mood Disorders; Suicide Prevention (1273) JMIR Theme Issue: COVID-19 Special Issue (2388) Web-based and Mobile Health Interventions (3094) Outbreak and Pandemic Preparedness and Management (1673) Anxiety and Stress Disorders (1002) Telehealth and Telemonitoring (1557) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (371) Behavior Change (652)

Published on in Vol 8, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28321, first published .
Intervention Use and Symptom Change With Unguided Internet-Based Cognitive Behavioral Therapy for Depression During the COVID-19 Pandemic: Log Data Analysis of a Convenience Sample

Intervention Use and Symptom Change With Unguided Internet-Based Cognitive Behavioral Therapy for Depression During the COVID-19 Pandemic: Log Data Analysis of a Convenience Sample

Intervention Use and Symptom Change With Unguided Internet-Based Cognitive Behavioral Therapy for Depression During the COVID-19 Pandemic: Log Data Analysis of a Convenience Sample

Authors of this article:

Caroline Oehler1, 2 Author Orcid Image ;   Katharina Scholze2 Author Orcid Image ;   Hanna Reich3 Author Orcid Image ;   Christian Sander1 Author Orcid Image ;   Ulrich Hegerl3, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Journals

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  2. Vus V, Nakanishi Y, da Silva G. MAPPING MENTAL HEALTH INTERVENTIONS DURING THE COVID-19 PANDEMIC. A COMPARISON REVIEW OF CHINA AND WESTERN EUROPE. Wiadomości Lekarskie 2022;75(8):1819 View
  3. Zamiri-Miandoab N, Hassanzade R, Mirghafourvand M. The effect of cognitive behavior therapy on anxiety and depression during COVID-19 pandemic: a systematic review and meta-analysis. Annals of General Psychiatry 2022;21(1) View
  4. Czaplicki A, Reich H, Hegerl U. Lockdown Measures Against the Spread of the COVID-19 Pandemic: Negative Effects for People Living With Depression. Frontiers in Psychology 2022;13 View
  5. Kikuchi H, Machida M, Nakamura I, Saito R, Odagiri Y, Fukushima N, Takamiya T, Amagasa S, Fukui K, Kojima T, Watanabe H, Inoue S. Persistence of Mental Health Deterioration Among People Living Alone During the COVID-19 Pandemic: A Periodically-repeated Longitudinal Study. Journal of Epidemiology 2022;32(7):345 View
  6. Ghosh A, Cherian R, Wagle S, Sharma P, Kannan K, Bajpai A, Gupta N. An Unguided, Computerized Cognitive Behavioral Therapy Intervention (TreadWill) in a Lower Middle-Income Country: Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e41005 View
  7. Deady M, Collins D, Lavender I, Mackinnon A, Glozier N, Bryant R, Christensen H, Harvey S. Selective Prevention of Depression in Workers Using a Smartphone App: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e45963 View
  8. Tsantila F, Coppens E, De Witte H, Arensman E, Amann B, Cerga-Pashoja A, Corcoran P, Creswell-Smith J, Cully G, Toth M, Greiner B, Griffin E, Hegerl U, Holland C, Leduc C, Leduc M, Ni Dhalaigh D, O’Brien C, Paterson C, Purebl G, Reich H, Ross V, Rugulies R, Sanches S, Thompson K, Van Audenhove C, Abula K, Aust B, Cox L, D’Alessandro L, Davey G, De Winter L, Dooyoung K, Doukani A, Dushaj A, Fanaj N, Hackel S, Hogg B, Mathieu S, Maxwell M, Alcazar A, Mulcahy K, Dhalaigh D, Connor A, Orchard W, Qirjako G, Rapeli S, Szekely A, Van Weeghel J, Wahlbeck K, Zsak E. Outcome assessment of a complex mental health intervention in the workplace. Results from the MENTUPP pilot study. International Archives of Occupational and Environmental Health 2023;96(8):1149 View
  9. Hornstein S, Zantvoort K, Lueken U, Funk B, Hilbert K. Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms. Frontiers in Digital Health 2023;5 View
  10. Wang Y, Bao S, Chen Y. How does social media use influence the mental health of pancreatic cancer patients: a chain mediating effect of online social support and psychological resilience. Frontiers in Public Health 2023;11 View
  11. Wang B, Li M, Haihambo N, Qiu Z, Sun M, Guo M, Zhao X, Han C. Characterizing Major Depressive Disorder (MDD) using alpha-band activity in resting-state electroencephalogram (EEG) combined with MATRICS Consensus Cognitive Battery (MCCB). Journal of Affective Disorders 2024;355:254 View