Data from 'Critical Slowing Down as a Personalized Early Warning Signal for Depression'. Issue 1 (9th February 2017)

• Record Type: Journal Article
• Authors: Kossakowski, Jolanda J.; Groot, Peter C.; Haslbeck, Jonas M. B.; Borsboom, Denny; Wichers, Marieke
• Is Part Of: Journal of open psychology data. Volume 5:Issue 1(2017)
• Publication Date: 2017-02-09
• Subjects: ESM -- time-series -- depression -- critical transition -- psychopathology; Psychology -- Periodicals; 150.72
• DOI: 10.5334/jopd.29
• Languages: English
• ISSNs: 2050-9863

Abstract

We present a dataset of a single (N = 1) participant diagnosed with major depressive disorder, who completed 1478 measurements over the course of 239 consecutive days in 2012 and 2013. The experiment included a double-blind phase in which the dosage of anti-depressant medication was gradually reduced. The entire study looked at momentary affective states in daily life before, during, and after the double-blind phase. The items, which were asked ten times a day, cover topics like mood, physical condition and social contacts. Also, depressive symptoms were measured on a weekly basis using the Symptom Checklist Revised (SCL-90-R). The data are suitable for various time-series analyses and studies in complex dynamical systems.