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Predictors of incident SARS-CoV-2 infections in an international prospective cohort study.
Lin, Anthony; Vittinghoff, Eric; Olgin, Jeffrey; Peyser, Noah; Aung, Sidney; Joyce, Sean; Yang, Vivian; Hwang, Janet; Avram, Robert; Nah, Gregory; Tison, Geoffrey H; Beatty, Alexis; Runge, Ryan; Wen, David; Butcher, Xochitl; Horner, Cathy; Eitel, Helena; Pletcher, Mark; Marcus, Gregory M.
Afiliação
  • Lin A; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Vittinghoff E; Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
  • Olgin J; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Peyser N; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Aung S; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Joyce S; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Yang V; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Hwang J; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Avram R; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Nah G; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Tison GH; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Beatty A; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Runge R; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Wen D; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Butcher X; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Horner C; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Eitel H; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Pletcher M; Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
  • Marcus GM; Department of Medicine, University of California San Francisco, San Francisco, California, USA Greg.Marcus@ucsf.edu.
BMJ Open ; 11(9): e052025, 2021 09 21.
Article em En | MEDLINE | ID: mdl-34548363
OBJECTIVE: Until effective treatments and vaccines are made readily and widely available, preventative behavioural health measures will be central to the SARS-CoV-2 public health response. While current recommendations are grounded in general infectious disease prevention practices, it is still not entirely understood which particular behaviours or exposures meaningfully affect one's own risk of incident SARS-CoV-2 infection. Our objective is to identify individual-level factors associated with one's personal risk of contracting SARS-CoV-2. DESIGN: Prospective cohort study of adult participants from 26 March 2020 to 8 October 2020. SETTING: The COVID-19 Citizen Science Study, an international, community and mobile-based study collecting daily, weekly and monthly surveys in a prospective and time-updated manner. PARTICIPANTS: All adult participants over the age of 18 years were eligible for enrolment. PRIMARY OUTCOME MEASURE: The primary outcome was incident SARS-CoV-2 infection confirmed via PCR or antigen testing. RESULTS: 28 575 unique participants contributed 2 479 149 participant-days of data across 99 different countries. Of these participants without a history of SARS-CoV-2 infection at the time of enrolment, 112 developed an incident infection. Pooled logistic regression models showed that increased age was associated with lower risk (OR 0.98 per year, 95% CI 0.97 to 1.00, p=0.019), whereas increased number of non-household contacts (OR 1.10 per 10 contacts, 95% CI 1.01 to 1.20, p=0.024), attending events of at least 10 people (OR 1.26 per 10 events, 95% CI 1.07 to 1.50, p=0.007) and restaurant visits (OR 1.95 per 10 visits, 95% CI 1.42 to 2.68, p<0.001) were associated with significantly higher risk of incident SARS-CoV-2 infection. CONCLUSIONS: Our study identified three modifiable health behaviours, namely the number of non-household contacts, attending large gatherings and restaurant visits, which may meaningfully influence individual-level risk of contracting SARS-CoV-2.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Middle aged Idioma: En Revista: BMJ Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Middle aged Idioma: En Revista: BMJ Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos