Study on the Influencing Factors of Digital Health Ability of the Elderly Based on Stepwise Regression

This study focuses on the ability improvement of the elderly in the field of digital health in post-epidemic era noting the digital transformation's significant impact on elderly medical service access. Despite government and corporate efforts to promote digital adoption and "Internet + medical health," elderly individuals still struggle with technology proficiency, health constraints, and privacy issues. A questionnaire survey was conducted to assess the digital health capabilities of the elderly in a specific region, revealing a mixed proficiency level with some individuals lagging. Using projection pursuit and stepwise regression analysis, the study identified key factors influencing digital health proficiency, including psychosocial elements, support systems, and privacy concerns. Findings indicate that interpersonal and community support positively affect digital health ability, while technology anxiety negatively impacts it significantly. The model's high fit suggests reliable results, emphasizing the importance of social and community support in enhancing elderly digital health proficiency and the need to address technology anxiety. The study aims to facilitate smoother elderly integration into digital society and enjoyment of digital conveniences.

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Publication Details

Journal
Mathematical Modeling and Algorithm Application
Published
2025-04-25
DOI
https://doi.org/10.54097/re2ht086
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Study on the Influencing Factors of Digital Health Ability of the Elderly Based on Stepwise Regression

Mengling Liu, Yihao Ren, Yihan Zhao, Sheng Luo et al.
Mathematical Modeling and Algorithm Application
Medical Research and Treatments
article

Study on the Influencing Factors of Digital Health Ability of the Elderly Based on Stepwise Regression

Mengling Liu, Yihao Ren, Yihan Zhao, Sheng Luo, Hanbo Min
article en

Abstract

This study focuses on the ability improvement of the elderly in the field of digital health in post-epidemic era noting the digital transformation's significant impact on elderly medical service access. Despite government and corporate efforts to promote digital adoption and "Internet + medical health," elderly individuals still struggle with technology proficiency, health constraints, and privacy issues. A questionnaire survey was conducted to assess the digital health capabilities of the elderly in a specific region, revealing a mixed proficiency level with some individuals lagging. Using projection pursuit and stepwise regression analysis, the study identified key factors influencing digital health proficiency, including psychosocial elements, support systems, and privacy concerns. Findings indicate that interpersonal and community support positively affect digital health ability, while technology anxiety negatively impacts it significantly. The model's high fit suggests reliable results, emphasizing the importance of social and community support in enhancing elderly digital health proficiency and the need to address technology anxiety. The study aims to facilitate smoother elderly integration into digital society and enjoyment of digital conveniences.

Mathematical Modeling and Algorithm ApplicationVol. 4(3)
Minzu University of China (CN)
Openalex Percentile: Top 85%
Medical Research and Treatments
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