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Background: The Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT; www.coh-fit.com) is an anonymous and global online survey measuring health and functioning during the COVID-19 pandemic. The aim of this study was to test concurrently the validity of COH-FIT items and the internal validity of the co-primary outcome, a composite psychopathology “P-score”. Methods: The COH-FIT survey has been translated into 30 languages (two blind forward-translations, consensus, one independent English back-translation, final harmonization). To measure mental health, 1–4 items (“COH-FIT items”) were extracted from validated questionnaires (e.g. Patient Health Questionnaire 9). COH-FIT items measured anxiety, depressive, post-traumatic, obsessive-compulsive, bipolar and psychotic symptoms, as well as stress, sleep and concentration. COH-FIT Items which correlated r ≥ 0.5 with validated companion questionnaires, were initially retained. A P-score factor structure was then identified from these items using exploratory factor analysis (EFA) and confirmatory factor analyses (CFA) on data split into training and validation sets. Consistency of results across languages, gender and age was assessed. Results: From >150,000 adult responses by May 6th, 2022, a subset of 22,456 completed both COH-FIT items and validated questionnaires. Concurrent validity was consistently demonstrated across different languages for COH-FIT items. CFA confirmed EFA results of five first-order factors (anxiety, depression, post-traumatic, psychotic, psychophysiologic symptoms) and revealed a single second-order factor P-score, with high internal reliability (ω = 0.95). Factor structure was consistent across age and sex. Conclusions: COH-FIT is a valid instrument to globally measure mental health during infection times. The P-score is a valid measure of multidimensional mental health.
Validation of the Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) questionnaire for adults
Solmi M.;Thompson T.;Estrade A.;Agorastos A.;Radua J.;Cortese S.;Dragioti E.;Leisch F.;Vancampfort D.;Thygesen L. C.;Aschauer H.;Schlogelhofer M.;Aschauer E.;Schneeberger A.;Huber C. G.;Hasler G.;Conus P.;Do Cuenod K. Q.;von Kanel R.;Arrondo G.;Fusar-Poli P.;Gorwood P.;Llorca P. -M.;Krebs M. -O.;Scanferla E.;Kishimoto T.;Rabbani G.;Skonieczna-Zydecka K.;Brambilla P.;Favaro A.;Takamiya A.;Zoccante L.;Colizzi M.;Bourgin J.;Kaminski K.;Moghadasin M.;Seedat S.;Matthews E.;Wells J.;Vassilopoulou E.;Gadelha A.;Su K. -P.;Kwon J. S.;Kim M.;Lee T. Y.;Papsuev O.;Mankova D.;Boscutti A.;Gerunda C.;Saccon D.;Righi E.;Monaco F.;Croatto G.;Cereda G.;Demurtas J.;Brondino N.;Veronese N.;Enrico P.;Politi P.;Ciappolino V.;Pfennig A.;Bechdolf A.;Meyer-Lindenberg A.;Kahl K. G.;Domschke K.;Bauer M.;Koutsouleris N.;Winter S.;Borgwardt S.;Bitter I.;Balazs J.;Czobor P.;Unoka Z.;Mavridis D.;Tsamakis K.;Bozikas V. P.;Tunvirachaisakul C.;Maes M.;Rungnirundorn T.;Supasitthumrong T.;Haque A.;Brunoni A. R.;Costardi C. G.;Schuch F. B.;Polanczyk G.;Luiz J. M.;Fonseca L.;Aparicio L. V.;Valvassori S. S.;Nordentoft M.;Vendsborg P.;Hoffmann S. H.;Sehli J.;Sartorius N.;Heuss S.;Guinart D.;Hamilton J.;Kane J.;Rubio J.;Sand M.;Koyanagi A.;Solanes A.;Andreu-Bernabeu A.;Caceres A. S. J.;Arango C.;Diaz-Caneja C. M.;Hidalgo-Mazzei D.;Vieta E.;Gonzalez-Penas J.;Fortea L.;Parellada M.;Fullana M. A.;Verdolini N.;Andrlikova E.;Janku K.;Millan M. J.;Honciuc M.;Moniuszko-Malinowska A.;Loniewski I.;Samochowiec J.;Kiszkiel L.;Marlicz M.;Sowa P.;Marlicz W.;Spies G.;Stubbs B.;Firth J.;Sullivan S.;Darcin A. E.;Aksu H.;Dilbaz N.;Noyan O.;Kitazawa M.;Kurokawa S.;Tazawa Y.;Anselmi A.;Cracco C.;Machado A. I.;Estrade N.;De Leo D.;Curtis J.;Berk M.;Ward P.;Teasdale S.;Rosenbaum S.;Marx W.;Horodnic A. V.;Oprea L.;Alexinschi O.;Ifteni P.;Turliuc S.;Ciuhodaru T.;Bolos A.;Matei V.;Nieman D. H.;Sommer I.;van Os J.;van Amelsvoort T.;Sun C. -F.;Guu T. -W.;Jiao C.;Zhang J.;Fan J.;Zou L.;Yu X.;Chi X.;de Timary P.;van Winkel R.;Ng B.;Pena E.;Arellano R.;Roman R.;Sanchez T.;Movina L.;Morgado P.;Brissos S.;Aizberg O.;Mosina A.;Krinitski D.;Mugisha J.;Sadeghi-Bahmani D.;Sheybani F.;Sadeghi M.;Hadi S.;Brand S.;Errazuriz A.;Crossley N.;Ristic D. I.;Lopez-Jaramillo C.;Efthymiou D.;Kuttichira P.;Kallivayalil R. A.;Javed A.;Afridi M. I.;James B.;Seb-Akahomen O. J.;Fiedorowicz J.;Carvalho A. F.;Daskalakis J.;Yatham L. N.;Yang L.;Okasha T.;Dahdouh A.;Gerdle B.;Tiihonen J.;Shin J. I.;Lee J.;Mhalla A.;Gaha L.;Brahim T.;Altynbekov K.;Negay N.;Nurmagambetova S.;Jamei Y. A.;Weiser M.;Correll C. U.
2023-01-01
Abstract
Background: The Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT; www.coh-fit.com) is an anonymous and global online survey measuring health and functioning during the COVID-19 pandemic. The aim of this study was to test concurrently the validity of COH-FIT items and the internal validity of the co-primary outcome, a composite psychopathology “P-score”. Methods: The COH-FIT survey has been translated into 30 languages (two blind forward-translations, consensus, one independent English back-translation, final harmonization). To measure mental health, 1–4 items (“COH-FIT items”) were extracted from validated questionnaires (e.g. Patient Health Questionnaire 9). COH-FIT items measured anxiety, depressive, post-traumatic, obsessive-compulsive, bipolar and psychotic symptoms, as well as stress, sleep and concentration. COH-FIT Items which correlated r ≥ 0.5 with validated companion questionnaires, were initially retained. A P-score factor structure was then identified from these items using exploratory factor analysis (EFA) and confirmatory factor analyses (CFA) on data split into training and validation sets. Consistency of results across languages, gender and age was assessed. Results: From >150,000 adult responses by May 6th, 2022, a subset of 22,456 completed both COH-FIT items and validated questionnaires. Concurrent validity was consistently demonstrated across different languages for COH-FIT items. CFA confirmed EFA results of five first-order factors (anxiety, depression, post-traumatic, psychotic, psychophysiologic symptoms) and revealed a single second-order factor P-score, with high internal reliability (ω = 0.95). Factor structure was consistent across age and sex. Conclusions: COH-FIT is a valid instrument to globally measure mental health during infection times. The P-score is a valid measure of multidimensional mental health.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1244110
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.