The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
The impacts of vulnerability, perceived risk, and fear on preventive behaviours against COVID-19
Open accessAbstract
The world has been under the negative effect of the COVID-19 pandemic for the last few months. While people may take many preventive behaviours to minimize the risk, very little is known about the factors that can increase preventive behaviours during the COVID-19 pandemic. This study examined the effects of vulnerability, perceived risk, and fear on preventive behaviours of COVID-19.The study used a sample of 4,536 Turkish adults (M = 30.33 ± 10.95 years) recruited from 17 March through 1 April 2020. Vulnerability, perceived risk, fear, and preventive behaviours were measured with self-rating scales.Participants mostly engaged in avoidance of public transportation and frequent handwashing as preventive behaviours. Women had a significantly higher vulnerability to, perceived risk, and fear of new coronavirus compared to men. Correlation results indicated that age, gender, education level, vulnerability, perceived risk, and fear were related to preventive behaviours. Regression results demonstrated that vulnerability, perceived risk, and fear accounted for a significant amount of variance in preventive behaviours over and above the effects of demographic variables.The results suggest that vulnerability, perceived risk, and fear can significantly increase engagement in preventive behaviours during the novel coronavirus pandemic. The results have important implications for research and practice.
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Wu, Z., & McGoogan, J. M. (2020) · JAMA · doi:10.1001/jama.2020.2648 · Cited by 17,016
The Psychological Impact of Quarantine and How to Reduce It: Rapid Review of the Evidence
Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020) · doi:10.2139/ssrn.3532534 · Cited by 16,394
The psychological impact of quarantine and how to reduce it: Rapid review of the evidence
Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30460-8 · Cited by 16,378
Lai, C.-C., Shih, T.-P., Ko, W.-C., Tang, H.-J., & Hsueh, P.-R. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105924 · Cited by 6,068
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Pastore y Piontti, A., Mu, K., Rossi, L., Sun, K., et al. (2020) · Science · doi:10.1126/science.aba9757 · Cited by 3,694
(2020) · PubMed · doi:10.3760/cma.j.issn.0254-6450.2020.02.003 · Cited by 3,323
Zhong, B.-L., Luo, W., Li, H.-M., Zhang, Q.-Q., Liu, X.-G., Li, W.-T., & Li, Y. (2020) · International Journal of Biological Sciences · doi:10.7150/ijbs.45221 · Cited by 3,090
Demographic and attitudinal determinants of protective behaviours during a pandemic: A review
Bish, A., & Michie, S. (2010) · British Journal of Health Psychology · doi:10.1348/135910710x485826 · Cited by 1,227
International Journal of Antimicrobial Agents
(2009) · International Journal of Antimicrobial Agents · doi:10.1016/s0924-8579(09)00446-4 · Cited by 1,085
Unrealistic optimism about susceptibility to health problems
Weinstein, N. D. (1982) · Journal of Behavioral Medicine · doi:10.1007/bf00845372 · Cited by 908
Cited by
Positivity explains how COVID-19 perceived risk increases death distress and reduces happiness.
Yıldırım, M., & Güler, A. (2021) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110347 · Cited by 241
Self-citationYıldırım, M., & Arslan, G. (2020) · doi:10.31234/osf.io/vpu5q · Cited by 343
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Metadata
- Authors
- Yıldırım, M., Geçer, E., & Akgül, Ö.
- Venue
- Psychology, Health & Medicine
- Publisher
- Informa UK Limited
- Published
- 2020-06-03
- Volume
- 26
- Issue
- 1
- Pages
- 35-43
- ISSN
- 1354-8506 (ISSN-L)
- 1465-3966
- OpenAlex
- W3031722470
- Cited by
- 518
- References
- 21
- FWCI
- 139.15
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
