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1000
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Abstract/Summary
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<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Background</jats:title>
<jats:p>Previous studies have found adverse effects on mental health following infection with SARS-CoV-2. This study investigates whether mental health is also impaired in unknowingly infected individuals. In addition, the relevance of the severity of the infection and the time since the onset of infection were analyzed.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>Data from the population-representative Gutenberg COVID-19 Study (GCS) were used (N = 2,267). SARS-CoV-2 infection was determined multimodally by self-report, throat swabs (acute infections) and antibody measurements (previous infections). Participants completed self-report questionnaires on mental health.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>Neither unknowing nor knowing SARS-CoV-2 infection had an impact on mental health. However, symptom severity and previous depression or anxiety predicted higher levels of depressiveness, anxiety and somatic complaints. Our results confirm findings suggesting that the severity of the initial infection and previous mental illness, but not knowledge of the infection, are the most important predictors of negative mental health outcomes following SARS-CoV-2 infection.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusion</jats:title>
<jats:p>The results suggest that mental health care should focus on individuals who suffer from a severe acute COVID-19 infection or have a history of mental illness.</jats:p>
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1000
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Hinweis
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DeepGreen-ID: 0960012c11d141ff87444e2ab7d7b3b7 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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