Common and specific determinants of 9-year depression and anxiety course-trajectories:A machine-learning investigation in the Netherlands Study of Depression and Anxiety (NESDA).
BACKGROUND: Given the strong relationship between depression and anxiety, there is an urge to investigate their shared and specific long-term course determinants. The current study aimed to identify and compare the main determinants of the 9-year trajectories of combined and pure depression and anxiety symptom severity. METHODS: Respondents with a 6-month depression and/or anxiety diagnosis (n=1,701) provided baseline data on 152 sociodemographic, clinical and biological variables. Depression and anxiety symptom severity assessed at baseline, 2-, 4-, 6- and 9-year follow-up, were used to ident... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2021 |
Reihe/Periodikum: | Wardenaar , K J , Riese , H , Giltay , E J , Eikelenboom , M , van Hemert , A J , Beekman , A F , Penninx , B W J H & Schoevers , R A 2021 , ' Common and specific determinants of 9-year depression and anxiety course-trajectories : A machine-learning investigation in the Netherlands Study of Depression and Anxiety (NESDA). ' , Journal of Affective Disorders , vol. 293 , pp. 295-304 . https://doi.org/10.1016/j.jad.2021.06.029 |
Schlagwörter: | Anxiety / Depression / Course / Machine Learning / Prediction / SuperLearner / LONG-TERM COURSE / POSTTRAUMATIC-STRESS-DISORDER / FOLLOW-UP / PANIC DISORDER / NATURAL COURSE / RISK-FACTORS / SYMPTOMS / HEALTH / RECOVERY / COMORBIDITY |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29190115 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/11370/01c4a27e-b3f6-4f9d-936c-90f45d61afc5 |