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Immune Fitness and the Psychosocial and Health Consequences of the Covid-19 Pandemic Lockdown in The Netherlands

Methodology and Design of the CLOFIT Study

Bibliographic Data

ID16946263
AuthorsPantea Kiani (0000-0003-3073-9749, Utrecht University), Agnese Merlo (0000-0002-5119-332X, Utrecht University), Hama M Saeed (Utrecht University), Susan Benson (0000-0001-8626-0521, Swinburne University of Technology), Gösta Bruce (0000-0003-2593-1488, University of the West of Scotland), Rosalie Hoorn (Utrecht University), Aletta D Kraneveld (0000-0001-9819-383X, Utrecht University), Aurora J A E van de Loo (0000-0002-0016-9151, Utrecht University), Noortje R Severeijns (0009-0000-7591-7321, Utrecht University), A S M Sips (0009-0004-8087-5743, Utrecht University), Andrew Scholey (0000-0003-4484-5462, Swinburne University of Technology), Joop Garssen (0000-0002-8678-9182, Utrecht University), Joris C Verster (0000-0002-6455-2096, Utrecht University, corresponding author)
Year2021
Volume11
Issue1
Pages199-218
Publication date2021-02-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEuropean Journal of Investigation in Health, Psychology and Education (JOURNAL)
Journal identifiersISSN: 2174-8144 • E-ISSN: 2254-9625
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ejihpe11010016
PMID34542459
OpenAlexW3132302806
LanguageEN
Citations received6
References cited61

This article provides an overview of the design and methodology of the “Corona lockdown: how fit are you?” (CLOFIT) study, including the questionnaires and scales that were included in the online survey. The aim of the CLOFIT study was to investigate the psychosocial and health consequences of the coronavirus disease 2019 (COVID-19) pandemic in the Netherlands. The survey was conducted among the Dutch population to collect data on immune fitness and the psychological and health consequences of the 2019 coronavirus disease (COVID-19) pandemic lockdown in the Netherlands. The CLOFIT dataset contains measures from N = 1910 participants and is broadly representative of the Dutch general population. The dataset represents both sexes, a range of ages including the elderly, different education levels, and ethnic backgrounds. The cohort also includes people with a diverse health status and range of medication use

Cohort · Cohort study · Disease · Environmental health · Family medicine · Pandemic · Population · Psychiatry · Psychosocial · Sociology · COVID-19 and Mental Health · Demography · Fibromyalgia and Chronic Fatigue Syndrome Research · Long-Term Effects of COVID-19 · Medicine · Psychology · Gerontology

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Unique citing works6
Citations per year1,2
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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