Influencing Factors and Implementation Pathways of Adherence Behavior in Intelligent Personalized Exercise Prescription: Qualitative Study

Adherence to personalized exercise prescriptions is influenced by both facilitating factors (eg, multibehavioral motivation, optimization strategies) and obstructive factors (eg, perceived barriers). Achieving and maintaining adherence is a gradual process, shaped by a range of motivations and factors. Personalized solutions, long-term support, feedback mechanisms, and social support networks are essential for promoting adherence. Future efforts should focus on enhancing adherence by strengthening multibehavioral motivation, optimizing solutions, and addressing barriers to improve overall adherence.

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Publication Details

Journal
JMIR mhealth and uhealth
Published
2024-11-11
DOI
https://doi.org/10.2196/59610
Citations
12
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
10.19
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article

Influencing Factors and Implementation Pathways of Adherence Behavior in Intelligent Personalized Exercise Prescription: Qualitative Study

Yuxin Xia, Zuchang Ma, Xuejie Xu, Hui Xie et al.
12 citations
JMIR mhealth and uhealth
Mobile Health and mHealth Applications
10.19
article

Influencing Factors and Implementation Pathways of Adherence Behavior in Intelligent Personalized Exercise Prescription: Qualitative Study

Yuxin Xia, Zuchang Ma, Xuejie Xu, Hui Xie, Ting Sun, Hongyu Wang, Guoli Zhang, Zenghui Ding
article en
12 citations

Abstract

Adherence to personalized exercise prescriptions is influenced by both facilitating factors (eg, multibehavioral motivation, optimization strategies) and obstructive factors (eg, perceived barriers). Achieving and maintaining adherence is a gradual process, shaped by a range of motivations and factors. Personalized solutions, long-term support, feedback mechanisms, and social support networks are essential for promoting adherence. Future efforts should focus on enhancing adherence by strengthening multibehavioral motivation, optimizing solutions, and addressing barriers to improve overall adherence.

JMIR mhealth and uhealthVol. 12
Bengbu Medical College (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Institute of Intelligent Machines (CN)
Openalex Percentile: Top 2%
Mobile Health and mHealth Applications
10.19
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