How the use of mobile fitness technology influences older adults’ physical and psychological well-being

心理学 集合(抽象数据类型) 晋升(国际象棋) 移动技术 成功老龄化 老年学 应用心理学 发展心理学 社会心理学 移动设备 医学 计算机科学 政治 政治学 法学 程序设计语言 操作系统
作者
Ayoung Suh,Mengjun Li
出处
期刊:Computers in Human Behavior [Elsevier BV]
卷期号:131: 107205-107205 被引量:11
标识
DOI:10.1016/j.chb.2022.107205
摘要

Older adults are becoming increasingly interested in and developing the ability to use mobile fitness (mFit) technology to stay healthy, independent, and socially connected. However, relatively little attention has been paid to older adults' mFit technology use and related health outcomes. Drawing on the mFit technology feature set model and the theory of social support for health, this study develops a model that explores how older adults' mFit technology use influences their physical and psychological well-being. The proposed model was tested using survey data collected from 189 older adult users of mFit technology. The results showed that the use of mFit technology was positively associated with older adults' physical and psychological well-being. At the feature set level, the study also established that three mFit technology feature sets played different roles in enhancing physical and psychological well-being. Notably, the findings suggest that the promotion of older adults' mFit technology use should not be left to individual discretion. Instead, older adults' use of such technologies should be supported and promoted at the community level. The findings of this study provide insights for researchers and practitioners who seek to promote older adults' health via mFit technology. For academia, this work conceptualizes the social support aspect of mFit technology use and reveals its role in shaping the effects of older adults' mFit technology use on their health outcomes. In practice, this research provides useful insights into design strategies that could help optimize older adults’ use of mFit technology for improving their physical and psychological well-being.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
jibo发布了新的文献求助10
2秒前
霹雳枕头应助不吃西瓜采纳,获得10
2秒前
小马甲应助魔幻采梦采纳,获得10
2秒前
5秒前
6秒前
喜东东发布了新的文献求助10
9秒前
hqq发布了新的文献求助10
10秒前
14秒前
林先生完成签到,获得积分10
15秒前
16秒前
喜东东完成签到,获得积分10
16秒前
jaxk发布了新的文献求助10
17秒前
霹雳枕头应助kchrisuzad采纳,获得10
17秒前
大模型应助伶俐千凝采纳,获得10
18秒前
18秒前
科研通AI5应助jibo采纳,获得10
19秒前
guozizi发布了新的文献求助10
20秒前
脑洞疼应助不如一默采纳,获得10
20秒前
pupu发布了新的文献求助10
21秒前
魔幻采梦发布了新的文献求助10
24秒前
29秒前
小蘑菇应助pupu采纳,获得10
30秒前
伶俐千凝发布了新的文献求助10
34秒前
秀丽的小红完成签到,获得积分20
36秒前
温婉的香菇完成签到 ,获得积分10
39秒前
Ava应助安陌煜采纳,获得10
40秒前
40秒前
chyu1057完成签到 ,获得积分10
42秒前
nothing完成签到,获得积分10
44秒前
Wizard完成签到 ,获得积分10
46秒前
芷莯发布了新的文献求助10
51秒前
1分钟前
VVV完成签到 ,获得积分10
1分钟前
AoAoo发布了新的文献求助10
1分钟前
爱学习的小白完成签到 ,获得积分10
1分钟前
奋斗的思烟关注了科研通微信公众号
1分钟前
1分钟前
Akim应助科研通管家采纳,获得10
1分钟前
星辰大海应助科研通管家采纳,获得10
1分钟前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Computational Atomic Physics for Kilonova Ejecta and Astrophysical Plasmas 500
Technologies supporting mass customization of apparel: A pilot project 450
Mixing the elements of mass customisation 360
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3782063
求助须知:如何正确求助?哪些是违规求助? 3327547
关于积分的说明 10232059
捐赠科研通 3042501
什么是DOI,文献DOI怎么找? 1670006
邀请新用户注册赠送积分活动 799555
科研通“疑难数据库(出版商)”最低求助积分说明 758825