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Pignolo RJ, King KS, Wi CI, Ryu E, Takahashi PY, Yao JD, Binnicker MJ, Dixon RE, Natoli TL, Juhn YJ. Characteristics of an Older Adult Population Without COVID-19 Infection in a Southeast Minnesota Community. Mayo Clin Proc 2024; 99:1921-1932. [PMID: 39503643 DOI: 10.1016/j.mayocp.2024.05.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 04/17/2024] [Accepted: 05/23/2024] [Indexed: 11/08/2024]
Abstract
OBJECTIVE To assess demographic characteristics, public health measures, and health beliefs or behaviors that differentiate participants with a history of the coronavirus disease 2019 (COVID-19) infection from those with no history of COVID-19. METHODS A cross-sectional survey-based study nested within a larger prospective cohort study of a community-based sample of 2511 adults was conducted to assess the incidence of viral infections. Community-based adults aged 50 years and older residing in southeast Minnesota who were assessed and self-reported history of COVID-19 infection during the early to mid phase of the COVID-19 pandemic were included; 1758 participants completed the survey between June 6, 2021, and February 7, 2022. Participants were asked to complete a questionnaire containing 42 items related to COVID-19. Odds ratios were calculated for history of COVID-19 to compare sociodemographic factors, current and future health behaviors, and health beliefs, including effective preventive measures and modes of transmission. RESULTS We found that certain sociodemographic features and health behaviors (eg, adherence to public health measures, such as COVID-19 vaccination) are associated with protection against COVID-19 infection and that strong beliefs in effective COVID-19 protective measures and modes of transmission (eg, types of social distancing) differentiated those without from those with a history of COVID-19. CONCLUSION Depending on the communicability, virulence, and pathogenicity of future COVID-19 variants, local, state, and federal governments must continue to consider the risks and benefits of public health initiatives that take into consideration these protective factors.
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Affiliation(s)
- Robert J Pignolo
- Department of Medicine, Mayo Clinic, Rochester, MN; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN.
| | - Katherine S King
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
| | - Euijung Ryu
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | | | - Joseph D Yao
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Rachel E Dixon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Traci L Natoli
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
| | - Young J Juhn
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
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Janmaimool P, Chontanawat J, Nunsunanon S, Chudech S. The causal relationship model of factors influencing COVID-19 preventive behaviors during the post-pandemic era and implications for health prevention strategies: a case of Bangkok City, Thailand. BMC Infect Dis 2024; 24:887. [PMID: 39210295 PMCID: PMC11363689 DOI: 10.1186/s12879-024-09818-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Though, many countries are currently in the COVID post-pandemic era, people's health protective behaviours are still essential to protect their health and well-being. This study aims to evaluate people's understanding and perceptions of COVID-19 risk characteristics (i.e. threat occurrence, threat severity, perceived susceptibility and exposure), the health risk perception towards COVID-19, and health protective behaviours. The study also aims to estimate the associations among these factors by the analysis of structural equation modelling (SEM). METHODS From 15 October to 9 November 2022, questionnaire surveys were administrated to 521 people living in Bangkok of Thailand by using the convenience sampling technique. The analyses were carried out in three phases including descriptive statistical analyses, a measurement model assessment using a confirmatory factor analysis (CFA), and structural equation modelling (SEM) analysis. RESULTS The results of descriptive analyses demonstrated that the majority of respondents, 39.9%, had the age between 20 and 30 years old, and 61.4% of them were female. Approximately 52.1% of them had a bachelor's degree. Upon analysing individuals' understanding and perceptions of all risk characteristics, individuals' understanding of COVID-19 severity did not statistically affect health risk perception towards COVID-19, whereas perceived exposure had the strongest effect and in turn influenced health protective behaviours. Perceived susceptibility and understanding of the threat occurrence also significantly affected health risk perception, and indirectly affected health protective behaviours. CONCLUSIONS This study implies that though the potential health impact of COVID-19 is perceived as less severe, people can still construct a perception of its risk particularly based on their perceived exposure and susceptibility. Thus, communicating people about exposure conditions and susceptibility can greatly contribute to people' construction of risk perception towards COVID-19 which subsequently leads to the decision to perform health protective behaviours.
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Affiliation(s)
- Piyapong Janmaimool
- ASEAN Institute for Health Development, Mahidol University, Salaya, Phuttamonthon 4 Road, 999, 73170, Nakorn Pathom Province, Thailand.
| | - Jaruwan Chontanawat
- The Joint Graduate School of Energy and Environment (JGSEE), King Mongkut's University of Technology Thonburi, 126 Pracha-Uthit Rd., Thungkru, Bangkok, 10140, Thailand
| | - Siriphan Nunsunanon
- Department of Social Sciences and Humanities, School of Liberal Arts, King Mongkut's University of Technology Thonburi, 126 Pracha-Uthit Rd., Thungkru, Bangkok, 10140, Thailand
| | - Surapong Chudech
- Department of Social Sciences and Humanities, School of Liberal Arts, King Mongkut's University of Technology Thonburi, 126 Pracha-Uthit Rd., Thungkru, Bangkok, 10140, Thailand
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Al-Zubaidy N, Fernandez Crespo R, Jones S, Gould L, Leis M, Maheswaran H, Neves AL, Darzi A, Drikvandi R. Exploring the relationship between government stringency and preventative social behaviours during the COVID-19 pandemic in the United Kingdom. Health Informatics J 2023; 29:14604582231215867. [PMID: 37982397 DOI: 10.1177/14604582231215867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
We constructed a preventive social behaviours (PSB) Index using survey questions that were aligned with WHO recommendations, and used linear regression to assess the impact of reported COVID-19 deaths (RCD), people's confidence of government handling of the pandemic (CGH) and government stringency (GS) in the United Kingdom (UK) over time on the PSB index. We used repeated, nationally representative, cross-sectional surveys in the UK over the course of 41 weeks from 1st April 2020 to January 28th, 2021, including a total of 38,092 participants. The PSB index was positively correlated with the logarithm of RCD (R: 0.881, p < .001), CGH (R: 0.592, p < .001) and GS (R: 0.785, p < .001), but was not correlated with time (R: -0.118, p = .485). A multivariate linear regression analysis suggests that the log of RCD (coefficient: 0.125, p < .001), GS (coefficient: 0.010, p = .019), and CGH (coefficient: 0.0.009, p < .001) had a positive and significant impact on the PSB Index, while time did not affect it significantly. These findings suggest that people's behaviours could have been affected by multiple factors during the pandemic, with the number of COVID-19 deaths being the largest contributor towards an increase in protective behaviours in our model.
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Affiliation(s)
- Noor Al-Zubaidy
- Institute of Global Health Innovation, Imperial College London, London, UK
| | | | - Sarah Jones
- Institute of Global Health Innovation, Imperial College London, London, UK
| | - Lisa Gould
- Institute of Global Health Innovation, Imperial College London, London, UK
| | - Melanie Leis
- Institute of Global Health Innovation, Imperial College London, London, UK
| | | | - Ana Luisa Neves
- Institute of Global Health Innovation, Imperial College London, London, UK
| | - Ara Darzi
- Institute of Global Health Innovation, Imperial College London, London, UK
| | - Reza Drikvandi
- Department of Mathematical Sciences, Durham University, Durham, UK
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Lertsakulbunlue S, Kittisarapong P, Pikulkaew S, Pusayapaibul P, Tangtongsoonthorn A, Wichaiboon C, Amornchatchawankul F, Marsook S, Mahaisawariya S, Subwongcharoen N, Petcharat P, Luksanasup B, Lortharaprasert T, Tieantanyatip B, Kantiwong A, Jongcherdchootrakul K. What Sustains Mask-Wearing Behavior among Elders in a Rural Community in the Post-COVID-19 Era: An Exploratory Mixed-Methods Study. Behav Sci (Basel) 2023; 13:678. [PMID: 37622818 PMCID: PMC10451204 DOI: 10.3390/bs13080678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/26/2023] Open
Abstract
The current study investigates the factors influencing face-mask-wearing practices among elderly individuals in rural Thailand. A mixed-methods approach was employed, involving qualitative interviews with 15 elderly participants and a subsequent survey of 201 elders. Seven subthemes were identified, including the perceived benefits of mask-wearing, the perceived threat of COVID-19, mask-wearing enhancing attractiveness and self-confidence, social norms, misconceptions about COVID-19 prevention tools, perceived barriers to mask-wearing, and resources to afford face masks. The developed themes, codes, and quotes were utilized for creating a questionnaire. The survey revealed the adherence of 81.1% of the participants to mask-wearing. Structural equation modeling (SEM) analysis demonstrated that motivation, comprising (1) the perceived threat of COVID-19, (2) alternative threats aside from COVID-19, and (3) the perceived benefits of a face mask strongly affected mask-wearing practices (β = 0.68, p < 0.001) and the willingness to wear a face mask (β = 0.61, p < 0.001). Social norms had a negative direct effect on the perceived barrier (β = -0.48, p < 0.001) and a positive direct effect on mask-wearing practices (β = 0.25, p = 0.001). This study highlights that motivation and social norms play pivotal roles in sustaining mask-wearing behavior among rural elderly populations. Encouraging local cooperative actions through community rules could initiate behavioral changes within the community. These findings contribute to the understanding of factors influencing mask-wearing and provide insights into designing effective interventions to promote mask-wearing among elderly individuals in rural areas.
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Affiliation(s)
- Sethapong Lertsakulbunlue
- Department of Pharmacology, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (S.L.); (A.K.)
| | - Pinyada Kittisarapong
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Sirikorn Pikulkaew
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Pree Pusayapaibul
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Apisit Tangtongsoonthorn
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Chanunpisut Wichaiboon
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Fasai Amornchatchawankul
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Suranuch Marsook
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Supakrit Mahaisawariya
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Nattasit Subwongcharoen
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Phitchayut Petcharat
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Bannawit Luksanasup
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Thakornphong Lortharaprasert
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Bavorn Tieantanyatip
- Medical Cadet, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (P.K.); (S.P.); (P.P.); (A.T.); (C.W.); (F.A.); (S.M.); (S.M.); (N.S.); (P.P.); (B.L.); (T.L.); (B.T.)
| | - Anupong Kantiwong
- Department of Pharmacology, Phramongkutklao College of Medicine, Bangkok 10400, Thailand; (S.L.); (A.K.)
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Ounsaneha W, Laosee O, Suksaroj TT, Rattanapan C. Preventive Behaviors and Influencing Factors among Thai Residents in Endemic Areas during the Highest Epidemic Peak of the COVID-19 Outbreak. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2525. [PMID: 36767892 PMCID: PMC9915108 DOI: 10.3390/ijerph20032525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/28/2023] [Accepted: 01/29/2023] [Indexed: 06/18/2023]
Abstract
This research aims to investigate COVID-19 preventive behavior and influencing factors among Thai residents during the highest epidemic peak of COVID-19. Nine hundred and forty-six residents in five districts with high COVID-19 infection cases in Thailand were systematically included in this cross-sectional survey. The results showed that 87.2% and 65.2% of the residents had a high level of general knowledge and preventive measures, respectively. As to COVID-19 attitudes, poor levels of attitude among Thai residents were found in risk perception (53.6%) and mistrust issues (70.4%). Moreover, this study presents good preventive behavior (77.0%) among Thai residents. Multiple logistic regression showed that the influence factors of COVID-19 preventive behavior were the young age group (AOR 2.97, 95% CI 1.68-5.25), high income (AOR 1.38, 95% CI 1.03-1.86), and high level of general COVID-19 knowledge (AOR 2.21, 95% CI 1.64-2.96). The conclusion was that providing information on COVID-19 via social media was the key mechanism of policy action for increasing the level of COVID-19 preventive behavior during the highest epidemic peak in Thailand. In addition, the pandemic preparedness and response policy, with resident participation and involvement, could be recommended for the resilience of pandemic preparedness.
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Affiliation(s)
- Weerawat Ounsaneha
- Faculty of Science and Technology, Valaya Alongkorn Rajabhat University under the Royal Patronage, Klong Nuang, Klong Luang, Pathum Thani 13180, Thailand
| | - Orapin Laosee
- ASEAN Institute for Health Development, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom 73710, Thailand
| | | | - Cheerawit Rattanapan
- ASEAN Institute for Health Development, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom 73710, Thailand
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Kaewpan W, Rojpaisarnkit K, Pengpid S, Peltzer K. Factors affecting face mask-wearing behaviors to prevent COVID-19 among Thai people: A binary logistic regression model. Front Psychol 2022; 13:996189. [PMID: 36425840 PMCID: PMC9680842 DOI: 10.3389/fpsyg.2022.996189] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 09/27/2022] [Indexed: 07/20/2023] Open
Abstract
OBJECTIVES Face mask wearing is a standard preventive measure, in addition to handwashing and physical distancing. Individuals may find that wearing a face mask protects their physical health and prevents viral transmission. However, none of the studies in Thailand identified factors associated with face mask-wearing behaviors among Thai people. Therefore, this study aims to determine factors affecting face mask-wearing behaviors to prevent COVID-19. METHODS This research is analytical survey research. The data used in this study were under the project title "The assessment of psychosocial and behavioral response and compliance to restriction measures to prevent and control COVID-19: A series of the rapid survey." A total of 6,521 people participated in an online survey by multi-stage sampling. Bivariate logistic regression analysis was used to examine the factors associated with face mask-wearing behaviors. RESULTS After adjusting for independent variables (i.e., gender, age, education, career, smoking, and comorbidity disease), the bivariate logistic regression analysis revealed that gender, age, and career were statistically significant to the face mask-wearing behaviors (p < 0.05). Level of education, smoking, and comorbidity disease were not statistically significant with face mask-wearing behaviors among Thai people. CONCLUSION Further study should explore broader on individual face mask perceptions and wearing in the continuing of COVID-19 across gender, age, and careers to better understand their health behaviors and to inform further policy. In addition, the development of an intervention to promote face mask wearing should target men who age below 30 yrs. and did not work in government services careers as this group of the population was likely not to wear a face mask outside the home.
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Affiliation(s)
- Wonpen Kaewpan
- Department of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, Thailand
| | - Kunwadee Rojpaisarnkit
- Department of Public Health, Faculty of Sciences and Technology, Rajabhat Rajanagarindra University, Chachoengsao, Thailand
| | - Supa Pengpid
- Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand
- Department of Public Health, Sefako Makgatho Health Sciences University, Pretoria, South Africa
| | - Karl Peltzer
- Department of Psychology, University of the Free State, Bloemfontein, South Africa
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan
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