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智能手机成,使用偏好和老年人的抑郁症在数字背景下:机器学习分析调查数据的分析

Sheng Chen¹, Yue Song¹, Chien-Chung Huang²

¹School of Public Administration, Guangdong University of Foreign Studies, 2 Baiyun Avenue, Baiyun District, Guangzhou, 510420, China, +86 13306695767.

|March 12, 2026

概括

老年人使用智能手机的问题与抑郁症有关,特别是当智能手机取代社交互动时. 干预措施应鼓励人们养成更健康的数字习惯,支持弱势群体.

科学领域:

老年学是一门学科.
数字健康数字健康
心理健康研究心理健康研究

背景情况:

老年人越来越多地使用智能手机,这既带来了社会联系的机会,也带来了包括抑郁症在内的心理健康风险.
了解这些风险对于开发针对这一群体的有针对性的干预措施至关重要.

研究的目的:

调查中国广州老年人智能手机使用与抑郁症之间的关系.
确定与抑郁症相关的智能手机使用的关键预测因素和复杂模式.

主要方法:

采用了混合分析方法,将机器学习和模糊集定性比较分析结合起来.
分析了广州2585名老年人的调查数据.

主要成果:

高度的智能手机成和低度的互动使用是与抑郁症相关的核心配置.
抑郁症风险受到结构性排斥 (资源限制) 和代理性不适应 (关系缺陷) 的影响.
高风险的个人资料包括未婚,受教育程度较低的男性和拥有更多资源的社会退缩个人.

结论:

问题性的智能手机使用,特别是当它取代了社交互动时,与老年人的抑郁症有显著的相关性.
干预措施应促进更健康的数字参与,并为已确定的高风险人群提供量身定制的支持.

关键词:

抑郁抑郁症抑郁症抑郁症是一种模糊集定性比较分析模糊集定性比较分析机器学习是机器学习.智能手机成智能手机成智能手机使用偏好

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