Results of the Cologne Corona Surveillance (CoCoS) study - a cross-sectional study: survey data on risk factors of SARS-CoV-2 infection in adults.

Adolescent Adult Child Humans COVID-19 / epidemiology Cross-Sectional Studies Risk Factors SARS-CoV-2
Age Compliance to countermeasures Risk association Self-reported infection Social factors

Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
06 02 2023
Historique:
received: 08 09 2022
accepted: 13 01 2023
entrez: 7 2 2023
pubmed: 8 2 2023
medline: 9 2 2023
Statut: epublish

Résumé

The personal, environmental, and behavioral risk factors that play an important role in the spread of SARS-CoV-2 are still largely unclear. At the same time, there is limited evidence on the effectiveness of specific countermeasures for SARS-CoV-2. As a first approach to these questions, we use data from the Cologne Corona Surveillance (CoCoS) study, a large cross-sectional study conducted in Cologne, Germany, in June 2021. This study was conducted in Cologne, Germany. Six thousand randomly selected Cologne residents who were 18 years of age or older were invited to participate in this study. Participant information was obtained via an online survey. Previous SARS-CoV-2 infections were recorded using self-reports. Sociodemographic and environmental information such as age, sex, living situation were collected. Potential SARS-CoV-2 risk behaviors were captured (workplace situation, adherence to hygiene regulations, and regular use of public transportation). Adherence to hygiene regulations was surveyed by determining the compliance with the 'AHA'-rules (German acronym that stands for keeping a distance of 1.5 m from fellow citizens, hand disinfection, and wearing a face mask). Binary logistic regression analysis was used to identify risk factors for SARS-CoV-2 infection. A sample of 2,433 study participants provided information. Comparison of the sample with the general population showed representativeness for most sociodemographic characteristics with a preference for higher level of education in the study sample. Younger age, as well as living with minor children (under 18 years) in the same household were associated with a higher number of self-reported SARS-CoV-2 infections. Adherence to hygiene regulations was associated with fewer self-reported SARS-CoV-2 infections in adults. Gender, size of living space per person, workplace situation (work from home versus working with contact to colleagues/customers), and regular use of public transportation showed no significant association with self-reported SARS-CoV-2 infections in multivariable analysis. The presented results provide initial indications of which sociodemographic and behavioral factors may be associated with SARS-CoV-2 infection. However, the fact that these factors were recorded without exact dates and could have changed accordingly during the pandemic or after infection limits the strength of the results. DRKS.de, German Clinical Trials Register (DRKS), Identifier: DRKS00024046, Registered on 25 February 2021.

Sections du résumé

BACKGROUND
The personal, environmental, and behavioral risk factors that play an important role in the spread of SARS-CoV-2 are still largely unclear. At the same time, there is limited evidence on the effectiveness of specific countermeasures for SARS-CoV-2. As a first approach to these questions, we use data from the Cologne Corona Surveillance (CoCoS) study, a large cross-sectional study conducted in Cologne, Germany, in June 2021.
METHODS
This study was conducted in Cologne, Germany. Six thousand randomly selected Cologne residents who were 18 years of age or older were invited to participate in this study. Participant information was obtained via an online survey. Previous SARS-CoV-2 infections were recorded using self-reports. Sociodemographic and environmental information such as age, sex, living situation were collected. Potential SARS-CoV-2 risk behaviors were captured (workplace situation, adherence to hygiene regulations, and regular use of public transportation). Adherence to hygiene regulations was surveyed by determining the compliance with the 'AHA'-rules (German acronym that stands for keeping a distance of 1.5 m from fellow citizens, hand disinfection, and wearing a face mask). Binary logistic regression analysis was used to identify risk factors for SARS-CoV-2 infection.
RESULTS
A sample of 2,433 study participants provided information. Comparison of the sample with the general population showed representativeness for most sociodemographic characteristics with a preference for higher level of education in the study sample. Younger age, as well as living with minor children (under 18 years) in the same household were associated with a higher number of self-reported SARS-CoV-2 infections. Adherence to hygiene regulations was associated with fewer self-reported SARS-CoV-2 infections in adults. Gender, size of living space per person, workplace situation (work from home versus working with contact to colleagues/customers), and regular use of public transportation showed no significant association with self-reported SARS-CoV-2 infections in multivariable analysis.
CONCLUSION
The presented results provide initial indications of which sociodemographic and behavioral factors may be associated with SARS-CoV-2 infection. However, the fact that these factors were recorded without exact dates and could have changed accordingly during the pandemic or after infection limits the strength of the results.
TRIAL REGISTRATION
DRKS.de, German Clinical Trials Register (DRKS), Identifier: DRKS00024046, Registered on 25 February 2021.

Identifiants

DOI: 10.1186/s12889-023-15047-6 PMID: 36747171 PMC: PMC9902063
pubmed: 36747171
doi: 10.1186/s12889-023-15047-6
pii: 10.1186/s12889-023-15047-6
pmc: PMC9902063
doi:

Banques de données

DRKS
['DRKS00024046']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

260

Subventions

Organisme : German Federal Ministry of Education and Research ("Nationales Netzwerk Universitätsmedizin" )
ID : 01KX2021

Informations de copyright

© 2023. The Author(s).

Références

Int J Environ Res Public Health. 2021 Mar 30;18(7):
pubmed: 33808249
Age Ageing. 2021 Feb 26;50(2):279-283
pubmed: 33320183
BMC Public Health. 2022 Jul 19;22(1):1379
pubmed: 35854283
Int Psychogeriatr. 2020 Oct;32(10):1235-1237
pubmed: 32576306
BMC Med Res Methodol. 2020 Jul 9;20(1):187
pubmed: 32646374
Infect Chemother. 2020 Jun;52(2):154-164
pubmed: 32537961
Dtsch Arztebl Int. 2020 Dec 11;117(50):861-867
pubmed: 33295275
BMC Public Health. 2021 Jul 2;21(1):1295
pubmed: 34215236
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2022 Sep;65(9):853-862
pubmed: 35920847

Auteurs

Max Oberste (M)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital of Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Nadja Schnörch (N)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital of Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Kija Shah-Hosseini (K)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital of Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Teodora Asenova (T)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital of Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Felix Dewald (F)

Institute of Virology, Medical Faculty and University Hospital of Cologne, University of Cologne, Fürst-Pückler-Straße 56, 50935, Cologne, Germany.

Clara Lehmann (C)

Department of Internal Medicine, Medical Faculty and University Hospital of Cologne, University of Cologne, Kerpener Str. 62, 50931, Cologne, Germany.

Michael Buess (M)

Cologne Health Authority, Cologne, Germany.

Gerd Fätkenheuer (G)

Department of Internal Medicine, Medical Faculty and University Hospital of Cologne, University of Cologne, Kerpener Str. 62, 50931, Cologne, Germany.

Florian Klein (F)

Institute of Virology, Medical Faculty and University Hospital of Cologne, University of Cologne, Fürst-Pückler-Straße 56, 50935, Cologne, Germany.

Kerstin Daniela Rosenberger (KD)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital of Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Annelene Kossow (A)

Cologne Health Authority, Cologne, Germany.
Institute of Hygiene, University Hospital of Muenster, University Muenster, Robert-Koch-Straße 49, 48149, Muenster, Germany.

Florian Neuhann (F)

Cologne Health Authority, Cologne, Germany.
Heidelberg Institute of Global Health, University, Heidelberg, Germany.
School of Medicine and Clinical Sciences, Levy Mwanawasa Medical University, Lusaka, Zambia.

Martin Hellmich (M)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital of Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany. martin.hellmich@uni-koeln.de.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adolescent › Results of the Cologne Corona Surveillance...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Results of the Cologne Corona Surveillance...
questionsmedicales.fr › Personnes › Tranches d'âge › Enfant › Results of the Cologne Corona Surveillance...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Results of the Cologne Corona Surveillance...
questionsmedicales.fr › Maladies de l'appareil respiratoire › Infections de l'appareil respiratoire › Pneumopathie infectieuse › Pneumopathie virale › COVID-19 › Results of the Cologne Corona Surveillance...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Results of the Cologne Corona Surveillance...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Results of the Cologne Corona Surveillance...
questionsmedicales.fr › Virus › Virus à ARN › Virus à ARN à brin positif › Nidovirales › Coronaviridae › Coronavirus › Betacoronavirus › Virus du SRAS › SARS-CoV-2 › Results of the Cologne Corona Surveillance...