%0 Journal Article %1 Wei__2024 %A Weiß, Martin %A Gutzeit, Julian %A Appel, Katharina S. %A Bahmer, Thomas %A Beutel, Manfred %A Deckert, Jürgen %A Fricke, Julia %A Hanß, Sabine %A Hettich-Damm, Nora %A Heuschmann, Peter U. %A Horn, Anna %A Jauch-Chara, Kamila %A Kohls, Mirjam %A Krist, Lilian %A Lorenz-Depiereux, Bettina %A Otte, Christian %A Pape, Daniel %A Reese, Jens-Peter %A Schreiber, Stefan %A Störk, Stefan %A Vehreschild, Jörg Janne %A Hein, Grit %D 2024 %I Elsevier BV %J Journal of Affective Disorders %K depression fatige machine-learning myown post-COVID %P 296–305 %R 10.1016/j.jad.2024.02.041 %T Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study %U http://dx.doi.org/10.1016/j.jad.2024.02.041 %V 352 %X Background: Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations. Methods. To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data was collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from more than 2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg. Results. Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions. Limitations. The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometrically collected data. Conclusions. In summary, our results suggest a strong link between post-COVID depression and fatigue and thus highlighting the need for integrative treatment approaches.

@article{Wei__2024, abstract = {Background: Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations. Methods. To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data was collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from more than 2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg. Results. Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions. Limitations. The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometrically collected data. Conclusions. In summary, our results suggest a strong link between post-COVID depression and fatigue and thus highlighting the need for integrative treatment approaches. }, added-at = {2024-02-22T08:42:28.000+0100}, author = {Weiß, Martin and Gutzeit, Julian and Appel, Katharina S. and Bahmer, Thomas and Beutel, Manfred and Deckert, Jürgen and Fricke, Julia and Hanß, Sabine and Hettich-Damm, Nora and Heuschmann, Peter U. and Horn, Anna and Jauch-Chara, Kamila and Kohls, Mirjam and Krist, Lilian and Lorenz-Depiereux, Bettina and Otte, Christian and Pape, Daniel and Reese, Jens-Peter and Schreiber, Stefan and Störk, Stefan and Vehreschild, Jörg Janne and Hein, Grit}, biburl = {https://www.bibsonomy.org/bibtex/2e056d8bf3b369786fb8244623f50e3c1/julsten}, doi = {10.1016/j.jad.2024.02.041}, interhash = {7a079125bc95780be420dcca9948e535}, intrahash = {e056d8bf3b369786fb8244623f50e3c1}, issn = {0165-0327}, journal = {Journal of Affective Disorders}, keywords = {depression fatige machine-learning myown post-COVID}, month = may, pages = {296–305}, publisher = {Elsevier BV}, timestamp = {2024-04-25T12:40:47.000+0200}, title = {Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study}, url = {http://dx.doi.org/10.1016/j.jad.2024.02.041}, volume = 352, year = 2024 }