Department of Medicine, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Barcelona, Spain.
Department of Basic Sciences, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Barcelona, Spain.
Gac Sanit. 2022 Jan-Feb;36(1):70-73. doi: 10.1016/j.gaceta.2021.10.003. Epub 2021 Oct 20.
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.
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.
SARS-CoV-2 爆发对普通人群的心理健康产生负面影响。需要比较爆发前后的心理健康状况数据。BIOVAL-D-COVID-19 研究评估了 COVID-19 大流行和封锁对代表性的非机构化西班牙成年人群的社会经济和心理影响，并估计了精神健康障碍的发生率，包括自杀行为，以及可能的相关因素。
这是一项观察性纵向研究，包括两次在线调查：2019 年进行的基线调查（T0）和 12 个月后进行的随访调查（T1）。后者包括九个部分：社会人口统计学、健康状况、心理健康、就业状况和地位、物质匮乏、医疗保健服务的使用、亲密伴侣暴力和适应力。九个部分中的四个在 T0 和 T1 评估中进行。纵向数据分析将使用泊松回归模型估计精神健康障碍的调整发病率。风险和保护因素将通过多逻辑回归模型进行分析。
