杂志文章@ 2291-5222 I JMIR Publications卡塔尔世界杯8强波胆分析 Inc.采用以消费者为中心的移动健康应用程序评估和预防心脏病:<30天研究%A Goyal,Shivani %A Morita,Plinio P %A Picton,Peter %A Seto,Emily %A Zbib,Ahmad %A Cafazzo,Joseph全球电子健康创新中心，Techna研究所，大学卫生网络，190伊丽莎白街，ON, M5G 2C4，加拿大，1 647 979 3309，shivani.goyal@uhn.ca %K健康行为%K生活方式%K心血管疾病%K预防%K风险降低%K移动应用程序%K手机%K激励%D 2016 %7 24.03.2016 %9原始论文%J JMIR mHealth uHealth %G英语%X背景:生活方式行为改变可以降低心血管疾病的风险，心血管疾病是全球死亡的主要原因之一，高达80%。我们假设，一个动态风险评估和行为改变工具作为一个移动应用程序交付，由一个著名的非营利组织托管，将促进社区成员的吸收。我们还预测，下载移动应用程序的激励措施会影响使用。目的:我们研究的主要目标是评估使用新型风险管理应用程序的参与者的参与水平。次要目标是评估激励措施对整体使用和使用行为的影响。方法:通过iTunes app Store公开发布应用，收集5个月的使用数据。汇总信息包括下载率、使用、风险因素和用户统计数据的人口级别数据。我们使用描述性统计来确定使用模式，t检验和方差分析来比较组均值。相关和回归分析确定了使用和人口变量之间的关系。结果:我们在5个月的时间里收集了69,952名用户的详细移动使用数据，其中23,727名(33.92%)是在为期1个月的航空里程促销期间注册的。 Of those who completed the risk assessment, 73.92% (42,380/57,330) were female, and 59.38% (34,042/57,330) were <30 years old. While the older demographic had significantly lower uptake than the younger demographic, with only 8.97% of users aged ≥51 years old downloading the app, the older demographic completed more challenges than their younger counterparts (F8, 52,422 = 55.10, P<.001). In terms of engagement levels, 84.94% (44,537/52,431) of users completed 1–14 challenges over a 30-day period, and 10.03% (5,259/52,431) of users completed >22 challenges. On average, users in the incentives group completed slightly more challenges during the first 30 days of the intervention (mean 7.9, SD 0.13) than those in the nonincentives group (mean 6.1, SD 0.06, t28870=–12.293, P<.001, d=0.12, 95% CI –2.02 to –1.47). The regression analysis suggested that sex, age group, ethnicity, having 5 of the risk factors (all but alcohol), incentives, and the number of family histories were predictors of the number of challenges completed by a user (F14, 56,538 = 86.644, P<.001, adjusted R2 = .021). Conclusion: While the younger population downloaded the app the most, the older population demonstrated greater sustained engagement. Behavior change apps have the potential to reach a targeted population previously thought to be uninterested in or unable to use mobile apps. The development of such apps should assume that older adults will in fact engage if the behavior change elements are suitably designed, integrated into daily routines, and tailored. Incentives may be the stepping-stone that is needed to guide the general population toward preventative tools and promote sustained behavior change. %M 27012937 %R 10.2196/mhealth.4730 %U http://mhealth.www.mybigtv.com/2016/1/e32/ %U https://doi.org/10.2196/mhealth.4730 %U http://www.ncbi.nlm.nih.gov/pubmed/27012937