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Research article
Teamur Aghamolaei
Hormozgan University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-2504-8014
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: The present research aimed to predict the preventive behaviors of COVID-19 in the light of the Protection Motivation Theory (PMT).
Methods: The present cross-sectional research was conducted in 2 months (March 2020-April 2020) in Hormozgan Province of Iran. The research population comprised all residents above 15 years of age. They received an online questionnaire survey in two parts, demographic information along with PMT constructs. To analyze the data, independent t-test and one-way anova test, Multiple linear regression and the statistical technique of path analysis and structural equation modeling was used. All statistical calculations and hypothesis testing were performed using spss21 and Amos21 software and a significant level of hypothesis testing was considered to be 0.05
Results: A total number of 2,032 subjects participated in this research, the mean age of whom was 34.84±9.8 (R=15-98). The majority of participants were between 31 - 40 years old, female (60.4%), married (72%), urban residents (87.3%), holding a Bachelor’s degree or higher (58.8%) and employed (58.8%). Statistically significant positive correlation coefficients were estimated between preventive behaviors of COVID-19 and perceived vulnerability (r=0.192, p<0.001), perceived severity (r=0.092, p<0.001), response efficacy (r=0.398, p<0.001) ,self efficacy (r=0.497, p<0.001) and protection motivation (r=0.595, p<0.001). Statistically significant negative correlations were found between behavior and maladaptive behavior rewards (r=-0.243, p<0.001) and perceived costs (r=-0.121, p<0.001).
Conclusions: The present findings showed that maladaptive behavior reward and fear predicted protective behaviors negatively; response efficacy and self-efficacy predicted protective behaviors positively. The effect of self-efficacy was the strongest among all. The information provided in this research can contribute to policy-making in the country.
Keywords
protection motivation theory, coping appraisals, threat appraisals, SARS, Coronavirus
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CURRENT STATUS: Published
View the published article at BMC Public Health.
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Posted 25 Sep, 2020
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Editorial decision: Major revision
On 14 Nov, 2020
Review #2 received
Received 21 Oct, 2020
Review #1 received
Received 21 Oct, 2020
Review #3 received
Received 20 Oct, 2020
Reviewer #1 agreed
On 15 Oct, 2020
Reviewer #2 agreed
On 15 Oct, 2020
Reviewer #3 agreed
On 15 Oct, 2020
Reviewers invited
Invitations sent on 14 Oct, 2020
Editor assigned
On 16 Aug, 2020
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On 15 Aug, 2020
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On 15 Aug, 2020
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See the published version of this preprint at BMC Public Health.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Teamur Aghamolaei
Hormozgan University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-2504-8014
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Public Health.
Version 1
Posted 25 Sep, 2020
No community comments so far
Editorial decision: Major revision
On 14 Nov, 2020
Review #2 received
Received 21 Oct, 2020
Review #1 received
Received 21 Oct, 2020
Review #3 received
Received 20 Oct, 2020
Reviewer #1 agreed
On 15 Oct, 2020
Reviewer #2 agreed
On 15 Oct, 2020
Reviewer #3 agreed
On 15 Oct, 2020
Reviewers invited
Invitations sent on 14 Oct, 2020
Editor assigned
On 16 Aug, 2020
Submission checks complete
On 15 Aug, 2020
Editor invited
On 15 Aug, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Public Health.
Background: The present research aimed to predict the preventive behaviors of COVID-19 in the light of the Protection Motivation Theory (PMT).
Methods: The present cross-sectional research was conducted in 2 months (March 2020-April 2020) in Hormozgan Province of Iran. The research population comprised all residents above 15 years of age. They received an online questionnaire survey in two parts, demographic information along with PMT constructs. To analyze the data, independent t-test and one-way anova test, Multiple linear regression and the statistical technique of path analysis and structural equation modeling was used. All statistical calculations and hypothesis testing were performed using spss21 and Amos21 software and a significant level of hypothesis testing was considered to be 0.05
Results: A total number of 2,032 subjects participated in this research, the mean age of whom was 34.84±9.8 (R=15-98). The majority of participants were between 31 - 40 years old, female (60.4%), married (72%), urban residents (87.3%), holding a Bachelor’s degree or higher (58.8%) and employed (58.8%). Statistically significant positive correlation coefficients were estimated between preventive behaviors of COVID-19 and perceived vulnerability (r=0.192, p<0.001), perceived severity (r=0.092, p<0.001), response efficacy (r=0.398, p<0.001) ,self efficacy (r=0.497, p<0.001) and protection motivation (r=0.595, p<0.001). Statistically significant negative correlations were found between behavior and maladaptive behavior rewards (r=-0.243, p<0.001) and perceived costs (r=-0.121, p<0.001).
Conclusions: The present findings showed that maladaptive behavior reward and fear predicted protective behaviors negatively; response efficacy and self-efficacy predicted protective behaviors positively. The effect of self-efficacy was the strongest among all. The information provided in this research can contribute to policy-making in the country.
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
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