社区老年人数字健康技术焦虑的潜在剖面分析
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女,硕士在读,学生

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科研项目:山东省社会科学规划研究项目(22CSHJ03)


Latent profile analysis of technophobia among the community elderly from the perspective of digital health
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    目的 探究社区老年人数字健康技术焦虑差异性及影响因素,为拟定针对性干预措施提供参考。方法 通过分阶段多层抽样选取青岛市320名社区老年人,采用一般资料调查表、技术焦虑量表、积极老龄化量表进行问卷调查,运用潜在剖面分析识别数字健康技术焦虑的潜在类别,采用logistic回归分析社区老年人数字健康技术焦虑各潜在类别的影响因素。结果 社区老年人的数字健康技术焦虑分为3个潜在类别,分别定义为低技术焦虑型(45.31%)、技术害怕型(33.13%)、技术紧张型(21.56%)。年龄、月收入、户籍、互联网使用情况、对互联网医院等数字健康技术使用意愿、积极老龄化水平是不同潜在类别的影响因素(均P<0.05)。结论 社区老年人数字健康技术焦虑具有不同的潜在类别,医护人员应根据各类别特征实施针对性干预,改善社区老年人技术焦虑水平。

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    Objective To explore the technophobia difference and influencing factors of digital health technology in the community elderly, so as to provide a reference for formulating targeted intervention measures.Methods Multistage stratified random sampling was used to select 320 community-dwelling older adults in Qingdao.General Demographic Information Questionnaire, Technophobia Scale, and Active Ageing Scale were used for the questionnaire survey, using latent profile analysis to identify potential categories of digital health technophobia, logistic regression was used to analyze the influencing factors of each potential category of technophobia among the community elderly from the perspective of digital health.Results The technophobia among the community el-derly from the perspective of digital health were classified into 3 categories, defined as low technophobia type (45.31%), technical fear type (33.13%), and technical tension (21.56%).Age, monthly income level, census register, Internet usage status, the willingness to use digital health technologies such as Internet hospitals and active aging level were influencing factors regarding to each potential category of technophobia from perspective of digital health (all P<0.05).Conclusion Digital health technophobia among community-dwelling older adults has different latent class.Medical staff should implement targeted interventions to improve their technophobia levels based on different category characteristics.

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郭晓菡,黄霞,贾培培,韩丽,李笑琳,王宁.社区老年人数字健康技术焦虑的潜在剖面分析[J].护理学杂志,2024,39(5):102-106

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  • 收稿日期:2023-10-21
  • 最后修改日期:2023-12-25
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  • 在线发布日期: 2024-07-10