Socio-economic and psychological impact of COVID-19 pandemic in a Spanish cohort BIOVAL-D-COVID-19 study protocol

Objective: SARS-CoV-2 outbreak has a negative psychological impact among general population. Data comparing mental health status before and during the outbreak is needed. The BIOVAL-D-COVID-19 study assess the socio-economic and psychological impact of the COVID-19 pandemic and lockdown in a represe...

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Detalles Bibliográficos
Autores: Miranda-Mendizabal, Andrea, Recoder, Silvia, Calbo Sebastian, Ester, Casajuana Closas, Marc, Leiva Ureña, David, Manolov, Rumen, Matilla Santander, Nuria, Forero, Carlos G., Castellví, Pere
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/182874
Acceso en línea:https://hdl.handle.net/2445/182874
Access Level:acceso abierto
Palabra clave:COVID-19
Aspectes psicològics
Anàlisi d'impacte econòmic
Condicions socials
Adults
Espanya
Psychological aspects
Economic impact analysis
Social conditions
Adulthood
Spain
Descripción
Sumario:Objective: SARS-CoV-2 outbreak has a negative psychological impact among general population. Data comparing mental health status before and during the outbreak is needed. The BIOVAL-D-COVID-19 study assess the socio-economic and psychological impact of the COVID-19 pandemic and lockdown in a representative sample of non-institutionalized Spanish adult population, and estimate the incidence of mental health disorders, including suicidal behaviours, and possible related factors. Method: Observational longitudinal study including two online surveys: baseline survey (T0) performed during 2019 and follow-up survey (T1) conducted 12-month later. The latter included nine sections: socio-demographic, health status, mental health, employment conditions and status, material deprivation, use of healthcare services, intimate partner violence and resilience. Four of the nine sections are administered in T0 and T1 assessments. Longitudinal data analyses will estimate adjusted incidence rates of mental health disorders using Poisson regression models. Risk and protective factors will be analysed through multiple logistic regression models.

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