Hiển thị đơn giản biểu ghi

dc.contributor.authorPark, Myonghwa
dc.contributor.authorOh, Keunyeob
dc.contributor.authorKim, Hyungjun
dc.contributor.authorFan, Xing
dc.contributor.authorGiap, Thi-Thanh-Tinh
dc.contributor.authorSong, Rhayun
dc.date.accessioned2024-10-24T18:14:25Z
dc.date.available2024-10-24T18:14:25Z
dc.date.issued2023-04-18
dc.identifier.urihttps://vinspace.edu.vn/handle/VIN/406
dc.description.abstractPurpose: To predict the performance of infection-prevention behaviors among adults in Korea based on the health belief model, using social support as a mediator. Patients and Methods: A nationwide cross-sectional survey of 700 participants from the local community was conducted using both online and offline methods from 8 metropolitan cities and 9 provinces in Korea from November 2021 to March 2022. The questionnaire was composed of 4 sections: demographic information, motivational factors for behavior change, social support, and infection-prevention behaviors. Data were analyzed using structural equation modeling with the AMOS program. The general least-squares method was applied to assess the fit of the model and the bootstrapping method was tested for indirect effect and the total effect. Results: Motivation factors that directly affected infection-prevention behaviors were self-efficacy (γ=0.58, p<0.001), perceived barriers (γ=–.08, p=0.004), perceived benefits (γ=0.10, p=0.002), perceived threats (γ=0.08, p=0.009), and social support (γ=0.13, p<0.001), after controlling for related demographic variables. Cognitive and emotional motivation factors together explained 59% of the variance in infection-prevention behaviors. Social support exerted significant mediating effects between each cognitive and emotional motivation variable and infection-prevention behaviors, along with a significant direct effect on infection-prevention behaviors (γ=0.12, p<0.001). Conclusion: The engagement of prevention behaviors among community-dwelling adults was influenced by their self-efficacy, perceived barriers, perceived benefits, and perceived threats with social support as a mediator. Prevention policy approaches could include providing specific information to improve self-efficacy and build awareness of the severity of the disease while establishing a supportive social environment for promoting health behaviors during the COVID-19 pandemic.en_US
dc.language.isoenen_US
dc.subjectcovid-19en_US
dc.subjecthealth belief modelen_US
dc.subjectprevention behavioren_US
dc.subjectmotivation factoren_US
dc.subjectsocial supporten_US
dc.titleCognitive and Emotional Motivation to Explain Infection-Prevention Behaviors with Social Support as a Mediator During the COVID-19 Pandemic: A Nationwide Cross-Sectional Study in Koreaen_US
dc.typeArticleen_US


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