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COVID-19 健康信息来源及其与预防行为的关系:韩国首尔老年居民的类型学研究。

COVID-19 health information sources and their associations with preventive behaviors: A typological study with older residents in Seoul, South Korea.

机构信息

Edward R. Roybal Institute on Aging, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California, United States of America.

Department of Social Welfare, Ewha Womans University, Seoul, Republic of Korea.

出版信息

PLoS One. 2023 Aug 31;18(8):e0290824. doi: 10.1371/journal.pone.0290824. eCollection 2023.

Abstract

Considering that individuals' health information can enable their adoption of health behaviors, we examined the use of health information sources related to COVID-19 and its association with preventive behaviors in a sample of older residents in Seoul, South Korea (N = 400, M age = 76.1 years). Latent profile analysis of 12 sources of health information representing conventional media, online sources, interpersonal networks, and health professionals or authorities yielded a 4-group typology: limited, moderate/traditional, moderate/digital, and diverse. In a multivariate model with the diverse group as a reference, the limited group (B = -4.48, SE = 1.14, p < .001) and the moderate/digital group (B = -2.73, SE = 0.76, p < .001) were associated with lower adherence to COVID-19 preventive behaviors. Our findings support the heterogeneity in the use of health information sources and the hypothesis that groups with restricted sources of health information would report less desirable behaviors. The findings also underscored the importance of proper use of digital health information. Efforts should be made not only to help older adults with low education access diverse sources of health information, including digital sources, but also to empower them to build digital and health literacy.

摘要

考虑到个体的健康信息可以促使他们采取健康行为,我们在韩国首尔的老年人样本中考察了与 COVID-19 相关的健康信息来源的使用情况及其与预防行为的关联(N=400,M 年龄=76.1 岁)。对代表传统媒体、在线来源、人际网络和卫生专业人员或权威机构的 12 种健康信息来源进行潜在剖面分析,得出了 4 组类型:有限、中等/传统、中等/数字和多样化。在一个以多样化组为参照的多变量模型中,有限组(B=-4.48,SE=1.14,p<.001)和中等/数字组(B=-2.73,SE=0.76,p<.001)与 COVID-19 预防行为的依从性较低有关。我们的研究结果支持健康信息来源使用的异质性和假设,即来源有限的群体报告的行为较差。研究结果还强调了正确使用数字健康信息的重要性。不仅应该努力帮助受教育程度较低的老年人获得多样化的健康信息来源,包括数字来源,而且应该赋予他们建立数字和健康素养的能力。

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本文引用的文献

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