Capturing the risk of persisting depressive symptoms: A dynamic network investigation of patients' daily symptom experiences

Psychiatry Research

Volumn 271, Issue , 2019, Pages 640-648

  Groen, Robin N ^a   Snippe, Evelien ^a   Bringmann, Laura F ^b   Simons, Claudia J P ^c,d   Hartmann, Jessica A ^e   Bos, Elisabeth H ^b   Wichers, Marieke ^a  

^a UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^b UNIVERSITY OF GRONINGEN   (Netherlands)

^c MAASTRICHT UNIVERSITY   (Netherlands)

^d GGzE Foundation for Mental Health Care Eindhoven en de Kempen   (Netherlands)

^e UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Major depressive disorder; Multilevel vector autoregressive (VAR) modelling; Network approach; Network connectivity; Psychiatry

Indexed keywords

ADULT; AGED; ARTICLE; EXPERIENCE; FEMALE; FOLLOW UP; HAMILTON DEPRESSION RATING SCALE; HUMAN; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; OUTCOME ASSESSMENT; PRIORITY JOURNAL; RISK ASSESSMENT; SYMPTOMATOLOGY; DEPRESSION; MIDDLE AGED; PSYCHOLOGY; SYMPTOM ASSESSMENT;

ADULT; DEPRESSION; DEPRESSIVE DISORDER, MAJOR; FEMALE; HUMANS; MALE; MIDDLE AGED; SYMPTOM ASSESSMENT;

EID: 85058414290     PISSN: 01651781     EISSN: 18727123     Source Type: Journal    
DOI: 10.1016/j.psychres.2018.12.054     Document Type: Article

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