Older adults' perceptions and experiences of engaging in web- and mobile-based physical activity interventions: A systematic review and qualitative meta-synthesis

被引:0
|
作者
Peng, Ruotong [1 ]
Chang, Jing [1 ]
Du, Yunfei [1 ]
Zhang, Chi [1 ]
Li, Xiaoyang [1 ]
Guo, Yongzhen [1 ]
Zhao, Yinan [1 ]
Feng, Hui [1 ,2 ,3 ]
机构
[1] Cent South Univ, Xiangya Sch Nursing, Changsha, Peoples R China
[2] Cent South Univ, Oceanwide Hlth Management Inst, Changsha, Peoples R China
[3] Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Changsha, Peoples R China
关键词
Internet; Telemedicine; Older adult; Physical activity; Qualitative; Systematic review; PUBLIC-HEALTH PROBLEM; EHEALTH INTERVENTIONS; FEASIBILITY; INACTIVITY;
D O I
10.1016/j.gerinurse.2024.08.025
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background: Web- and mobile-based physical activity interventions effectively promote physical and mental health among older adults, but participation and adherence are suboptimal. Methods: This qualitative review used the mega-aggregation approach. Searches were conducted in five databases from the earliest to November 2023. Quality assessment and data extraction used JBI tools. Data synthesis used the COM-B model as a guide. Results: Sixteen sub-themes were identified from the eight studies and categorized into the COM-B model. Sub-themes were physical and psychological changes, digital skills and knowledge, older adult-friendly design, integration into daily routines, social influence, family engagement and support, health benefits and impairments, accessibility and flexibility, low cost, visibility and interaction, instructions and feedback, personalization and progression, incentives, self-efficacy, visual cues, self-monitoring. Discussion: Web- and mobile-based interventions motivate older adults to engage in physical activity, but modifications are necessary. This includes age-appropriate interfaces and contents, tailored behavioral change techniques, and family engagement. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:630 / 638
页数:9
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