Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Sampling
2.2. Research Instruments
2.3. Knowledge about COVID-19
2.4. Perceived COVID-19 Risk
2.5. Perceived COVID-19 Severity
2.6. COVID-19 Response Efficacy
2.7. Self-Efficacy in Preventing COVID-19 Infection
2.8. COVID-19 Preventive Behaviors
2.9. Sociodemographic Variables
2.10. Statistical Analysis
3. Results
3.1. Characteristics of the Participants
3.2. Knowledge about COVID-19
3.3. Characteristics of Protection Motivation
3.4. COVID-19 Preventive Behavior Level
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Factor | Number | Percentage |
---|---|---|
Knowledge about COVID-19 | ||
Low | 0 | 0.0 |
Moderate | 47 | 11.7 |
High | 353 | 88.3 |
Perceived COVID-19 risk | ||
Low | 0 | 0.0 |
Moderate | 74 | 18.5 |
High | 326 | 51.5 |
Perceived COVID-19 severity | ||
Low | 0 | 0.0 |
Moderate | 45 | 11.2 |
High | 355 | 88.8 |
COVID-19 response efficacy | 0 | 0.0 |
Low | 0 | 0.0 |
Moderate | 143 | 35.8 |
High | 257 | 64.2 |
Self-efficacy in preventing COVID-19 infection | ||
Low | 2 | 0.4 |
Moderate | 163 | 40.8 |
High | 235 | 58.8 |
Overall COVID-19 preventive behaviors | ||
Low | 0 | 0.0 |
Moderate | 117 | 29.2 |
High | 283 | 70.8 |
Strength-building behaviors | ||
Low | 43 | 10.8 |
Moderate | 163 | 40.8 |
High | 194 | 48.4 |
Compliance with DMHTT measures | ||
Low | 0 | 0.0 |
Moderate | 56 | 14.0 |
High | 344 | 86.0 |
Screening and vaccinations | ||
Low | 1 | 0.3 |
Moderate | 15 | 3.7 |
High | 384 | 96.0 |
Variable | Coefficient Correlation (r) | p-Value |
---|---|---|
Age | 0.012 | 0.81 |
Income | −0.031 | 0.53 |
Knowledge about COVID-19 | 0.107 | 0.03 |
Perceived COVID-19 risk | 0.104 | 0.03 |
Perceived COVID-19 severity | 0.171 | <0.001 |
COVID-19 response efficacy | 0.312 | <0.001 |
Self-efficacy in preventing COVID-19 infection | 0.340 | <0.001 |
Variable | B | Beta | t | p-Value |
---|---|---|---|---|
Self-efficacy in preventing COVID-19 infection | 0.203 | 0.224 | 3.731 | <0.001 |
COVID-19 response efficacy | 0.163 | 0.171 | 2.852 | <0.05 |
Knowledge about COVID-19 | 0.155 | 0.110 | 2.237 | 0.01 |
Gender (female vs. male *) | −0.093 | −0.102 | −2.186 | 0.02 |
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Upake, C.; Nanthamongkolchai, S.; Taechaboonsermsak, P.; Yodmai, K.; Suksatan, W. Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand. Int. J. Environ. Res. Public Health 2022, 19, 10361. https://doi.org/10.3390/ijerph191610361
Upake C, Nanthamongkolchai S, Taechaboonsermsak P, Yodmai K, Suksatan W. Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand. International Journal of Environmental Research and Public Health. 2022; 19(16):10361. https://doi.org/10.3390/ijerph191610361
Chicago/Turabian StyleUpake, Chunphen, Sutham Nanthamongkolchai, Pimsurang Taechaboonsermsak, Korravarn Yodmai, and Wanich Suksatan. 2022. "Factors Predicting the Coronavirus Disease 2019 Preventive Behaviors of Older Adults: A Cross-Sectional Study in Bangkok, Thailand" International Journal of Environmental Research and Public Health 19, no. 16: 10361. https://doi.org/10.3390/ijerph191610361