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老年人手机使用、自我效能感与手机依赖之间的关联:一项基于社区的研究。

Association between mobile phone, self-efficacy and dependency among elderly people: a community-based study.

作者信息

Yao Qi-Qian, Chen Yin, Ding Xi-Wen, Aierken Ayizuhere, Hu Dong-Bin, Li Ying

机构信息

The Sixth Affiliated Hospital, Harbin Medical University, Harbin, China.

Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou, China.

出版信息

Mhealth. 2024 Dec 20;11:7. doi: 10.21037/mhealth-24-35. eCollection 2025.

DOI:10.21037/mhealth-24-35
PMID:39944856
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11811646/
Abstract

BACKGROUND

The prevalence of dependency is high, and it is an urgent problem requiring immediate solutions for elderly people. This study aimed to explore the association between mobile phone use, self-efficacy and dependency among elderly people.

METHODS

This community-based study was conducted in 33 locations in China. A total of 2,195 participants aged ≥60 years were selected using a complex multistage sampling design. All data were collected using questionnaires by face-to-face interviews. Dependency was measured using the standardized Minnesota Multiphasic Personality Inventory-II. Self-efficacy was assessed using the Chinese version of the General Self-Efficacy Scale. Cumulative logistic regression models were used to evaluate the association between dependency and the use of mobile phones. Analysis of covariance (ANCOVA) was conducted to evaluate the association between the self-efficacy level and the frequency of mobile phone use.

RESULTS

More than 90% of elderly people reported that they used a mobile phone. The high frequency of mobile phone use was significantly associated with low level of dependency and high level of self-efficacy. The frequency of mobile phone use was negatively associated with the times of received community health services.

CONCLUSIONS

Individuals who use mobile phones have a low level of dependency and a high level of self-efficacy. These findings suggest that mobile phone is an important mental health resource for improving dependency and increasing self-efficacy among elderly people.

摘要

背景

依赖的患病率很高,这是一个亟待解决的老年人问题。本研究旨在探讨老年人手机使用、自我效能感与依赖之间的关联。

方法

这项基于社区的研究在中国33个地点进行。采用复杂的多阶段抽样设计,共选取了2195名年龄≥60岁的参与者。所有数据均通过面对面访谈使用问卷收集。使用标准化的明尼苏达多相人格调查表-2来测量依赖程度。使用中文版的一般自我效能量表来评估自我效能感。采用累积逻辑回归模型来评估依赖与手机使用之间的关联。进行协方差分析(ANCOVA)以评估自我效能水平与手机使用频率之间的关联。

结果

超过90%的老年人报告称他们使用手机。手机使用频率高与低依赖水平和高自我效能感显著相关。手机使用频率与接受社区卫生服务的次数呈负相关。

结论

使用手机的个体依赖水平低且自我效能感高。这些发现表明,手机是改善老年人依赖程度和提高自我效能感的重要心理健康资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df1a/11811646/5cd8a01c6716/mh-11-24-35-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df1a/11811646/424bc85a1dbb/mh-11-24-35-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df1a/11811646/5cd8a01c6716/mh-11-24-35-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df1a/11811646/424bc85a1dbb/mh-11-24-35-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df1a/11811646/5cd8a01c6716/mh-11-24-35-f2.jpg

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本文引用的文献

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Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning.识别预测成功戒烟的戒烟应用程序功能使用模式:利用机器学习对实验数据进行二次分析
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Association between community environment and dependency among the elderly people from a service provision perspective.从服务提供的角度来看社区环境与老年人依赖之间的关系。
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