-
Retracted Publication
Predictors of COVID-19 vaccine hesitancy in Germany: a cross-sectional, population-based study.
- Srikanth Umakanthan and Sam Lawrence.
- Para-Clinical Sciences, The University of the West Indies at St Augustine Faculty of Medical Sciences, St Augustine, Trinidad and Tobago.
- Postgrad Med J. 2022 Oct 1; 98 (1164): 756764756-764.
Purpose Of The StudyAchieving high COVID-19 vaccination rates is a key public health challenge. The study aims to investigate factors determining COVID-19 vaccine hesitancy and adherence to prevention measures, in German adults.Study DesignThis cross-sectional study was conducted in Germany, from 21 February 2021 to 3 April 2021, during the strict lockdown period of the third COVID-19 wave. A total of 2029 adults (75.3% women and median age 38 years) participated in an online survey. Participants completed a questionnaire assessing sociodemographic and anthropometric characteristics, adherence to COVID-19 prevention measures and willingness to vaccinate. Health literacy (HL), perceived stress, life satisfaction and adherence to Mediterranean diet (MD) were also assessed. Multiple linear and logistic regression analysis were employed.ResultsThe median score of COVID-19 adherence to the prevention measures tool, was 23.08 (3.83) (range 1-35). A total of 57.5% of the participants were willing to vaccinate against COVID-19, 12.1% were unwilling and 30.4% were undecided. Linear regression analysis revealed that women, obese participants, those with a chronic disease and those willing to vaccinate, reported higher adherence to prevention measures. Older age, higher levels of HL, life satisfaction and adherence to MD were also positively associated with higher adherence. Logistic regression revealed that being a woman decreases the odds of having the willingness whereas, older age, higher education and adherence to measures, increase the odds of willingness to vaccinate.ConclusionThe results of the study could be used by practitioners, researchers and policy-makers working in the field of prevention and management of COVID-19.© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.