Collaborative outcomes study on health and functioning during infection times (COH-FIT): Insights on modifiable and non-modifiable risk and protective factors for wellbeing and mental health during the COVID-19 pandemic from multivariable and network analyses

  • Marco Solmi
  • , Trevor Thompson
  • , Samuele Cortese
  • , Andrés Estradé
  • , Agorastos Agorastos
  • , Joaquim Radua
  • , Elena Dragioti
  • , Davy Vancampfort
  • , Lau Caspar Thygesen
  • , Harald Aschauer
  • , Monika Schlögelhofer
  • , Elena Aschauer
  • , Andres Schneeberger
  • , Christian G Huber
  • , Gregor Hasler
  • , Philippe Conus
  • , Kim Q Do Cuénod
  • , Roland von Känel
  • , Gonzalo Arrondo
  • , Paolo Fusar-Poli
  • Philip Gorwood, Pierre-Michel Llorca, Marie-Odile Krebs, Elisabetta Scanferla, Taishiro Kishimoto, Golam Rabbani, Karolina Skonieczna-Zydecka, Paolo Brambilla, Angela Favaro, Akihiro Takamiya, Leonardo Zoccante, Marco Colizzi, Julie Bourgin, Karol Kaminski, Maryam Moghadasin, Soraya Seedat, Evan Matthews, John Wells, Emilia Vassilopoulou, Ary Gadelha, Kuan-Pin Su, Jun Soo Kwon, Minah Kim, Tae Young Lee, Oleg Papsuev, Denisa Manková, Andrea Boscutti, Cristiano Gerunda, Diego Saccon, Elena Righi, Et al., Thérèse van Amelsvoort, Christoph U. Correll*
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

There is no multi-country/multi-language study testing a-priori multivariable associations between non-modifiable/modifiable factors and validated wellbeing/multidimensional mental health outcomes before/during the COVID-19 pandemic. Moreover, studies during COVID-19 pandemic generally do not report on representative/weighted non-probability samples. The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) is a multi-country/multi-language survey conducting multivariable/LASSO-regularized regression models and network analyses to identify modifiable/non-modifiable factors associated with wellbeing (WHO-5)/composite psychopathology (P-score) change. It enrolled general population-representative/weighted-non-probability samples (26/04/2020-19/06/2022). Participants included 121,066 adults (age=42±15.9 years, females=64 %, representative sample=29 %) WHO-5/P-score worsened (SMD=0.53/SMD=0.74), especially initially during the pandemic. We identified 15 modifiable/nine non-modifiable risk and 13 modifiable/three non-modifiable protective factors for WHO-5, 16 modifiable/11 non-modifiable risk and 10 modifiable/six non-modifiable protective factors for P-score. The 12 shared risk/protective factors with highest centrality (network-analysis) were, for non-modifiable factors, country income, ethnicity, age, gender, education, mental disorder history, COVID-19-related restrictions, urbanicity, physical disorder history, household room numbers and green space, and socioeconomic status. For modifiable factors, we identified medications, learning, internet, pet-ownership, working and religion as coping strategies, plus pre-pandemic levels of stress, fear, TV, social media or reading time, and COVID-19 information. In multivariable models, for WHO-5, additional non-modifiable factors with |B|>1 were income loss, COVID-19 deaths. For modifiable factors we identified pre-pandemic levels of social functioning, hobbies, frustration and loneliness, and social interactions as coping strategy. For P-scores, additional non-modifiable/modifiable factors were income loss, pre-pandemic infection fear, and social interactions as coping strategy. COH-FIT identified vulnerable sub-populations and actionable individual/environmental factors to protect well-being/mental health during crisis times. Results inform public health policies, and clinical practice.
Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalEuropean Neuropsychopharmacology
Volume90
Early online date27 Sept 2024
DOIs
Publication statusPublished - Jan 2025

Keywords

  • COH-FIT
  • Covid-19
  • P-factor
  • Psychiatry
  • Survey
  • Well-being

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