作者
Wijnand van den Boom, Mart van Dijk, Bianca Snijders, Guus Luijben, Jan van der Laan, Saskia Euser, Jet G Sanders, Anne H Buitenhuis, Pita Spruijt, Floor Kroese, Mattijs Lambooij, Yvette Muhren, Nannah Tak, Koen van der Swaluw, Caroline van Rossum, Thijs Nielen, Janneke Elberse, Reint Jan Renes, Mariken Leurs, Marijn de Bruin
发表日期
2023/7/31
期刊
PloS one
卷号
18
期号
7
页码范围
e0289294
出版商
Public Library of Science
简介
This ‘cohort profile’ aims to provide a description of the study design, methodology, and baseline characteristics of the participants in the Corona Behavioral Unit cohort. This cohort was established in response to the COVID-19 pandemic by the Dutch National Institute for Public Health and the Environment (RIVM) and the regional public health services. The aim was to investigate adherence of and support for COVID-19 prevention measures, psychosocial determinants of COVID-19 behaviors, well-being, COVID-19 vaccination, and media use. The cohort also examined specific motivations and beliefs, such as for vaccination, which were collected through either closed-ended items or open text responses. In April 2020, 89,943 participants aged 16 years and older were recruited from existing nation-wide panels. Between May 2020 and September 2022, 99,676 additional participants were recruited through online social media platforms and mailing lists of higher education organizations. Participants who consented were initially invited every three weeks (5 rounds), then every six weeks (13 rounds), and since the summer of 2022 every 12 weeks (3 rounds). To date, 66% of participants were female, 30% were 39 years and younger, and 54% completed two or more questionnaires, with an average of 9.2 (SD = 5.7) questionnaires. The Corona Behavioral Unit COVID-19 cohort has published detailed insights into longitudinal patterns of COVID-19 related behaviors, support of COVID-19 preventive measures, as well as peoples’ mental wellbeing in relation to the stringency of these measures. The results have informed COVID-19 policy making and …
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