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"textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Political and health measures taken to curb the COVID-19 pandemic have affected many aspects of day-to-day life.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">1</span></a> Their impact has been mostly studied among specific populations (e.g., healthcare workers, infected individuals and their families)<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">2–5</span></a> and, to a lesser extent, among general population<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">6–8</span></a> and patients with pre-existing conditions.<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">9,10</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Spanish data show that as consequences of the first wave of COVID-19 pandemic, general adult population mostly report depressive<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">11</span></a> and anxiety symptoms.<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">11,12</span></a> For individuals aged 60 years, depressive and avoidant coping styles are early psychological effects of the pandemic and lockdown.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">13</span></a> Specifically, risk factors increasing worse mental health outcomes, are: being female,<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">11–16</span></a> having or have had a mental disorder,<a class="elsevierStyleCrossRefs" href="#bib0210"><span class="elsevierStyleSup">12,13,16</span></a> have been exposed to COVID-19<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">15,16</span></a> and having had symptoms associated with the virus<a class="elsevierStyleCrossRefs" href="#bib0210"><span class="elsevierStyleSup">12,16</span></a> or a close relative infected.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">12</span></a> However, these studies have mostly used retrospective cross-sectional design<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">11–17</span></a> and included samples from specific geographical regions.<a class="elsevierStyleCrossRefs" href="#bib0215"><span class="elsevierStyleSup">13,14</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">An earlier published article, using data from a longitudinal population-based Spanish cohort just after the first wave of COVID-19 pandemic, shows that the prevalence of depression and suicidal ideation have not significantly increased.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">18</span></a> However, COVID-19 pandemic and lockdown consequences on the Spanish general population over the time are yet to be fully appraised. The end of the pandemic may translate into social and economic consequences, probably widening or revealing inequalities in Spanish society, as it has occurred in some other countries.<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">1,7</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Therefore, direct comparisons of before, during and after the pandemic are needed. Such comparison would serve for identifying groups and risk factors where evidence-driven strategies might reduce consequences of the pandemic.</p><p id="par0030" class="elsevierStylePara elsevierViewall">This study objectives are to assess the socio-economic and psychological impact of the SARS-CoV-2 outbreak and lockdown due to the COVID-19 pandemic in population-based cohort from the Spanish adult population, before and during the pandemic. The prospective pre-post pandemic design will increase knowledge about causal links between personal, familiar, and socioeconomic variables and COVID-19 outcomes. Results will have the potential to inform and improve preventive strategies implemented in similar situations.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Study design</span><p id="par0035" class="elsevierStylePara elsevierViewall">Observational longitudinal study through an online survey on Spanish residents will be carried out. The baseline survey (T0) was acquired as part of the BIOVAL-D project (Exp: PI16/00165) during October-November 2019 for assessing mental health prior to SARS-CoV-2 outbreak. The follow-up survey (T1) will be conducted after 12-months, using the same questionnaire with additional domains to identify risk and resilient factors associated to mental disorders and suicide behaviours after SARS-CoV-2 outbreak and lockdown, and to evaluate economic costs individually and at familiar level. The survey has an average duration of 30<span class="elsevierStyleHsp" style=""></span>minutes. Participants will have a unique personal link to fulfil the survey guaranteeing that it could be fully completed only once. However, links could be used to access the survey at different times until completeness is achieve.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Study sample</span><p id="par0040" class="elsevierStylePara elsevierViewall">Baseline participants for the BIOVAL-D study come from a Spanish national population sample (≥18 years old) representative in terms of geographical areas, sex, age and income level, recruited during 2019 from an online secure panel data vendor including a final sample of 2005 individuals. The panel does not exclude any household and its members from the possibility of being recruited. Participants are randomly selected from an extensive list of mobile and landline phones, as well as personal interviews, ensuring the panel representativeness. The study left open the possibility to recontact the participants for future studies. For the follow-up survey all the 2005 participants will be recontacted by the panel provider. Participants will receive an informative email on the study objectives and characteristics, including a link to the informed consent. Upon consent, participants will receive a signed copy, asking for permission for subsequent contacts for study reasons. Response rates of 60% are expected. Participation is encouraged through an incentives system based on accumulative points and exchange. Points can be exchanged for physical (e.g., electronics and technology, children's toys, pet products, sports and leisure, etc.) and digital gifts (e.g., app, books, music, etc.) or donations to NGOs. All participants who answer 100% of the survey will accumulate the same number of points.</p><p id="par0045" class="elsevierStylePara elsevierViewall">For assuring representativeness of the follow-up, in case it is needed because of low response rate, a subsample, from the same panel and who was not contacted at baseline, will be invited to participate at follow-up to complete sample size for comparison. For matching, selection will be made based on the socio-demographic characteristics (sex, age, geographic area, income level) of those individuals who will be replaced.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Sample size</span><p id="par0050" class="elsevierStylePara elsevierViewall">Sample size is estimated based on the incidence data between T0 and T1, assuming an annual baseline depression incidence of 2% and COVID-19 exposure affecting 10% of the population, increasing incidence up to 10%. Based on these assumptions, with a statistical power of 0.80 at a 0.05 nominal significance level and considering a 40% loss-to-follow up cases, total sample size at follow-up has been estimated in 1200 people. Depression incidence has been selected for this purpose because it is expected to be especially high in the pandemic context being a good proxy variable for mental health effects. Furthermore, it has been done to be consistent with the criteria used in the baseline study it ensuring comparability.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Data gathering platform</span><p id="par0055" class="elsevierStylePara elsevierViewall">Data will be managed using the “Dimensions” platform, a secure data web software for developing and running online surveys using panels. Links to the survey will be sent individually and encrypted, and associated with an identification code unconnected to personal information. The link will be active for a limited period of time.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Survey and dimensions assessed</span><p id="par0060" class="elsevierStylePara elsevierViewall">The T1 follow-up survey is composed by 9 sections, detailed below. It was developed on purpose by the research team. Socio-demographic, health status, and mental health (except post-traumatic stress disorder), are administered at T0 and T1.</p><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">1) Socio-demographics</span><p id="par0065" class="elsevierStylePara elsevierViewall">Age, gender, time residing at current address, marital status, coexistence with a partner and educational level.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">2) Health status</span><p id="par0070" class="elsevierStylePara elsevierViewall">Self-perceived physical and mental health; smoking status and World Health Organization Disability Assessment Schedule (12-items). The scale has been validated for the Spanish population.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">19</span></a></p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">3) COVID-19 exposures</span><p id="par0075" class="elsevierStylePara elsevierViewall">Items about COVID-19 exposure were developed <span class="elsevierStyleItalic">ad-hoc</span> for this study. Having been tested or diagnosed for COVID-19, COVID-19 symptoms and treatment, days at hospital including intensive care unit days, COVID-19-related stress with reasons (e.g., family finances, social isolation, worry about getting infected). Also, information on friends and relatives infected and/or death by COVID-19 will be gathered.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">4) Mental Health</span><p id="par0080" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Depression:</span> Spanish version of the Composite International Diagnostic Interview version 3.0 will be used,<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">20</span></a> including screening items for panic disorder (2-items), bipolar disorder (2-items) and general anxiety disorder (3-items); major depression episode diagnostic section including 37-items (depression and anhedonia, 6-items; weight, 5-items; insomnia, 5- items; retardation and agitation, 4-items; fatigue, 2-items; worthlessness and guilt, 5-items; concentration, 4-items; suicide, 6-items). For study purposes, new item will ask the participants the trimester when they experienced each symptom. Finally, 2-items about being on treatment due to depression symptoms will be asked. Good clinical diagnostic agreement was reported for the CIDI instrument with face-to-face<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">21</span></a> and online assessments<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">22</span></a> among the Spanish population.</p><p id="par0085" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Anxiety:</span> General Anxiety Disorder-7, 4-point Likert Scale with scores ranging from 0 to 21 will be used. The Spanish version has shown good reliability and validity evidence, and cut-off point for diagnoses has been established.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">23</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Post-traumatic stress disorder (PTSD):</span> Spanish version of the PCL-5 will be used (20-items)<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">24</span></a> for assessing PTSD directly related to being infected of COVID-19 or death of a close one due this condition.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">5) Employment conditions and employment status</span><p id="par0095" class="elsevierStylePara elsevierViewall">Poor employment conditions after the first lockdown due to COVID-19 pandemic (e.g., precarious employment) measured using the Employment Precarity Index (EPI) (https://precariousworkresearch.org/).<a class="elsevierStyleCrossRefs" href="#bib0275"><span class="elsevierStyleSup">25,26</span></a> EPI score ranges between 0 and 30. The EPI will be applied on individuals who declare to be working or studying at the time of the survey, or to have lost their jobs permanently or temporarily during the three months before the survey. Changes in the employment status after the lockdown period, such as having become temporary or permanently unemployed, will be also asked. We will also ask whether individuals have attended work having COVID-19 compatible symptoms, their main occupation and whether they have been able to telework.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">6) Material deprivation</span><p id="par0100" class="elsevierStylePara elsevierViewall">Material deprivation will be assessed through household income, proportion of household income used for paying the rent or mortgage, and whether individuals are able to go on vacations one week per year, eat meat or fish (or the equivalent for other diets) at least two days per week, pay an unforeseen expense, and maintain a suitable temperature at home.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">7) Use of healthcare services</span><p id="par0105" class="elsevierStylePara elsevierViewall">Number of visits to primary care or to any medical specialist, days of hospitalization, days in intensive care unit, temporary employment regulation, and sick leave. Also, expenditures in sanitary products in euros. The cost of all items will be calculated using the tax list published in the Oblikue Database (<a href="http://esalud.oblikue.com/">http://esalud.oblikue.com/</a>).</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">8) Resilience</span><p id="par0110" class="elsevierStylePara elsevierViewall">Spanish version of the 10-items Connor-Davidson Resilience Scale.<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">27</span></a></p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">9) Intimate partner violence</span><p id="par0115" class="elsevierStylePara elsevierViewall">Short-form version of the Composite Abuse Scale<a class="elsevierStyleCrossRefs" href="#bib0290"><span class="elsevierStyleSup">28,29</span></a> to measure self-reported intimate partner violence since the beginning of lockdown. Participants will be asked whether they had, or still have, a partner since the beginning of lockdown, and if they have felt fear of that partner during it.</p></span></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Statistical analysis plan</span><p id="par0120" class="elsevierStylePara elsevierViewall">Statistical analyses will involve different methods depending on the use of cross-sectional or longitudinal data. Cross-sectional data will allow to estimate the prevalence and means of socio-demographic characteristics, risk and protective factors and socio-economic and mental health outcomes associated. Prevalence ratios for the association of risk and protective factors using bivariate associations (Chi-squared) and multiple models, using Poisson regression models with log-binomial link and robust standard errors. Coefficients and their 95% confidence intervals will be calculated. Sampling weights according to gender, age, geographic area and income levels will be applied to restore sample representativeness, and to calculate results stratified by gender and age groups. Longitudinal data analyses will be conducted by determining the sample fraction with no mental health problems at T0 with positive mental outcomes at T1. Crude incidence rates by 1000 person-years will be estimated. Adjusted incidence rates will be computed using Poisson regression models using a log-link function. Linear regression models using baseline values as predictors will be used for continuous T1 outcomes to estimate change between T0 and T1 by means. Time-to-event data will be analysed using Cox regression models. Selection bias due to non-random losses to follow-up will be corrected using inverse probability-of-censoring weights.<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">30</span></a></p></span></span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Ethics and dissemination</span><p id="par0125" class="elsevierStylePara elsevierViewall">Baseline study was approved by the Ethical Committee of the IMIM-Parc de Salut Mar (2014/5717/l) and the Ethical Committee of the Universitat Internacional de Catalunya (PIC-178-19). The latter also approved the follow-up study (MED-2020-02).</p><p id="par0130" class="elsevierStylePara elsevierViewall">Before entering the study, participants will read and sign an informed consent. The data will be gathered in a completely anonymous way, with no possibility to match the data with participant's identity. In cases where mental health problems or intimate partner violence would be detected, participants will receive an automatic message, only visible to them upon survey completion, advising to contact health or social services that provides adequate information and assistance. All participants will receive a general message with recommendations and assistance contacts. A final report with the major results will be presented to the Observatori Social La Caixa as a requirement for granted projects. Study findings will be disseminated through different publications.</p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Editor in charge</span><p id="par0135" class="elsevierStylePara elsevierViewall">Azucena Santillán-García.</p></span><span id="sec0100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Authorship contributions</span><p id="par0140" class="elsevierStylePara elsevierViewall">A. Miranda-Mendizabal and S. Recoder drafted the first version of the manuscript. P. Castellví and C. G. Forero conceived, designed and supervised the overall study. E. Calbo Sebastián, M. Casajuana Closas, D. Leiva Ureña, R. Manolov and N. Matilla Santander participated in the writing of the manuscript, provided important intellectual content and gave their final approval of the version submitted for publication.</p></span><span id="sec0105" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Funding</span><p id="par0145" class="elsevierStylePara elsevierViewall">This work is funded by ISCIII-FEDER (PI16/00165) and Observatori Social La Caixa call to support research survey projects to assess the social impact of COVID-19 pandemic (Call LL20-2).</p></span><span id="sec0110" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Conflicts of interests</span><p id="par0150" class="elsevierStylePara elsevierViewall">None.</p></span></span>"
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"resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">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.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">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.</p></span>"
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