Sökning: WFRF:(Kleiboer Annet) >
A Data-Driven Clust...
A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood
-
- van Genugten, Claire R. (författare)
- Vrije Univ, Netherlands; Vrije Univ, Netherlands
-
- Schuurmans, Josien (författare)
- Vrije Univ, Netherlands
-
- Hoogendoorn, Adriaan W. (författare)
- Vrije Univ, Netherlands
-
visa fler...
-
- Araya, Ricardo (författare)
- Kings Coll London, England
-
- Andersson, Gerhard (författare)
- Karolinska Institutet,Linköpings universitet,Psykologi,Filosofiska fakulteten,Institutionen för biomedicinska och kliniska vetenskaper,Medicinska fakulteten,Karolinska Inst, Sweden
-
- Banos, Rosa M. (författare)
- Univ Valencia, Spain; Inst Salud Carlos III, Spain; Univ Valencia, Spain
-
- Berger, Thomas (författare)
- Univ Bern, Switzerland
-
- Botella, Cristina (författare)
- Inst Salud Carlos III, Spain; Jaume I Univ, Spain
-
- Cerga Pashoja, Arlinda (författare)
- London Sch Hyg & Trop Med, England
-
- Cieslak, Roman (författare)
- SWPS Univ Social Sci & Humanities, Poland; Lyda Hill Inst Human Resilience, CO USA
-
- Ebert, David D. (författare)
- Tech Univ TU Munich, Germany
-
- Garcia-Palacios, Azucena (författare)
- Inst Salud Carlos III, Spain; Jaume I Univ, Spain
-
- Hazo, Jean-Baptiste (författare)
- Univ Paris, France; Hopitaux Paris, France
-
- Herrero, Rocio (författare)
- Univ Valencia, Spain; Inst Salud Carlos III, Spain
-
- Holtzmann, Jerome (författare)
- Univ Hosp Grenoble Alpes, France
-
- Kemmeren, Lise (författare)
- Vrije Univ, Netherlands
-
- Kleiboer, Annet (författare)
- Vrije Univ, Netherlands
-
- Krieger, Tobias (författare)
- Univ Bern, Switzerland
-
- Rogala, Anna (författare)
- SWPS Univ Social Sci & Humanities, Poland
-
- Titzler, Ingrid (författare)
- Friedrich Alexander Univ Erlangen Nurnberg, Germany
-
- Topooco, Naira (författare)
- Linköpings universitet,Psykologi,Filosofiska fakulteten,Institutionen för biomedicinska och kliniska vetenskaper,Medicinska fakulteten,Ctr m2Health, CA USA
-
- Smit, Johannes H. (författare)
- Vrije Univ, Netherlands
-
- Riper, Heleen (författare)
- Vrije Univ, Netherlands; Vrije Univ, Netherlands; Univ Southern Denmark, Denmark; Univ Turku, Finland
-
visa färre...
-
(creator_code:org_t)
- 2022-03-17
- 2022
- Engelska.
-
Ingår i: Frontiers in Psychiatry. - : Frontiers Media SA. - 1664-0640. ; 13
- Relaterad länk:
-
https://liu.diva-por... (primary) (Raw object)
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.3...
-
http://kipublication...
-
visa färre...
Abstract
Ämnesord
Stäng
- BackgroundAlthough major depressive disorder (MDD) is characterized by a pervasive negative mood, research indicates that the mood of depressed patients is rarely entirely stagnant. It is often dynamic, distinguished by highs and lows, and it is highly responsive to external and internal regulatory processes. Mood dynamics can be defined as a combination of mood variability (the magnitude of the mood changes) and emotional inertia (the speed of mood shifts). The purpose of this study is to explore various distinctive profiles in real-time monitored mood dynamics among MDD patients in routine mental healthcare. MethodsEcological momentary assessment (EMA) data were collected as part of the cross-European E-COMPARED trial, in which approximately half of the patients were randomly assigned to receive the blended Cognitive Behavioral Therapy (bCBT). In this study a subsample of the bCBT group was included (n = 287). As part of bCBT, patients were prompted to rate their current mood (on a 1-10 scale) using a smartphone-based EMA application. During the first week of treatment, the patients were prompted to rate their mood on three separate occasions during the day. Latent profile analyses were subsequently applied to identify distinct profiles based on average mood, mood variability, and emotional inertia across the monitoring period. ResultsOverall, four profiles were identified, which we labeled as: (1) "very negative and least variable mood" (n = 14) (2) "negative and moderate variable mood" (n = 204), (3) "positive and moderate variable mood" (n = 41), and (4) "negative and highest variable mood" (n = 28). The degree of emotional inertia was virtually identical across the profiles. ConclusionsThe real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Psykiatri (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Psychiatry (hsv//eng)
Nyckelord
- depression; ecological momentary assessment; mood dynamics; mood instability; heterogeneity; cluster analysis
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
van Genugten, Cl ...
-
Schuurmans, Josi ...
-
Hoogendoorn, Adr ...
-
Araya, Ricardo
-
Andersson, Gerha ...
-
Banos, Rosa M.
-
visa fler...
-
Berger, Thomas
-
Botella, Cristin ...
-
Cerga Pashoja, A ...
-
Cieslak, Roman
-
Ebert, David D.
-
Garcia-Palacios, ...
-
Hazo, Jean-Bapti ...
-
Herrero, Rocio
-
Holtzmann, Jerom ...
-
Kemmeren, Lise
-
Kleiboer, Annet
-
Krieger, Tobias
-
Rogala, Anna
-
Titzler, Ingrid
-
Topooco, Naira
-
Smit, Johannes H ...
-
Riper, Heleen
-
visa färre...
- Om ämnet
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Klinisk medicin
-
och Psykiatri
- Artiklar i publikationen
-
Frontiers in Psy ...
- Av lärosätet
-
Linköpings universitet
-
Karolinska Institutet