%0期刊文章%@ 2291-5222 %I JMIR出版物%V 9% 卡塔尔世界杯8强波胆分析N 12 %P e29190 %T愿意分享来自可穿戴健康和活动追踪器的数据:2019年健康信息全国趋势调查数据分析%A Rising,Camella J %A Gaysynsky,Anna %A Blake,Kelly D %A Jensen,Roxanne E %A Oh,April %+行为研究项目，美国国家癌症研究所癌症控制和人口科学部，美国马里兰州洛克维尔9609医疗中心大道，20850,1240 276 5262，camella.rising@nih.gov %K移动健康%K人口健康%K健康通讯%K调查方法%K移动应用程序%K设备%K在线社交网络%K手机%D 2021 %7 13.12.2021 %9原始论文%J JMIR Mhealth Uhealth %G英文%X背景:与他人共享来自可穿戴健康和活动追踪器(可穿戴设备)的数据，可通过生成社会支持和提高可穿戴设备用户管理自身健康的能力，改善可穿戴设备用户的健康和行为结果。调查影响美国成年人与不同类型的人分享可穿戴数据的意愿的个别因素，可能提供关于最可能或最不可能从可穿戴干预中受益的人群亚群的见解。具体来说，鉴于各种技术的使用和参与可能广泛影响基于网络的健康信息共享行为，有必要确定与共享可穿戴数据意愿潜在相关的数字健康行为。目的:本研究旨在确定与美国成年人与医疗保健提供者、家人或朋友共享可穿戴数据的意愿相关的社会人口统计学、健康和数字健康行为。方法:分析样本(N=1300)的数据来自国家癌症研究所的2019年健康信息全国趋势调查。数字健康行为测量包括可穿戴设备使用频率、使用智能手机或平板电脑帮助与提供者沟通、使用社交网站分享健康信息以及参与基于网络的健康社区。加权数据的多变量逻辑回归分析检验了数字健康行为与共享可穿戴设备数据意愿之间的关联，并控制了社会人口统计学和健康相关特征。结果:大多数美国成年人报告愿意与供应商(81.86%)和家人或朋友(69.51%)共享可穿戴数据。 Those who reported higher health self-efficacy (odds ratio [OR] 1.97, 95% CI 1.11-3.51), higher level of trust in providers as a source of health information (OR 1.98, 95% CI 1.12-3.49), and higher level of physical activity (OR 2.00, 95% CI 1.21-3.31) had greater odds of willingness to share data with providers. In addition, those with a higher frequency of wearable use (OR 2.15, 95% CI 1.35-3.43) and those who reported use of smartphones or tablets to help communicate with providers (OR 1.99, 95% CI 1.09-3.63) had greater odds of willingness to share data with providers. Only higher level of physical activity was associated with greater odds of willingness to share wearable data with family or friends (OR 1.70, 95% CI 1.02-2.84). Sociodemographic factors were not significantly associated with willingness to share wearable data. Conclusions: The findings of this study suggest that, among US adult wearable users, behavior-related factors, rather than sociodemographic characteristics, are key drivers of willingness to share health information obtained from wearables with others. Moreover, behavioral correlates of willingness to share wearable data are unique to the type of recipient (ie, providers vs family or friends). Future studies could use these findings to inform the development of interventions that aim to improve the use of patient-generated data from wearable devices in health care settings. %M 34898448 %R 10.2196/29190 %U https://mhealth.www.mybigtv.com/2021/12/e29190 %U https://doi.org/10.2196/29190 %U http://www.ncbi.nlm.nih.gov/pubmed/34898448