Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach.
Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach.
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DOI：
10.2196/jmir.5604
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发表时间：
2017-04-19
影响因子：
7.4
通讯作者：
Fiscella K
中科院分区：
文献类型：
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作者：
Carroll JK;Moorhead A;Bond R;LeBlanc WG;Petrella RJ;Fiscella K
移动电话的使用和健康生活方式软件应用程序(“健康应用程序”)的采用正在迅速激增。关于健康应用用户的社会人口和健康特征、改变意图和实际健康行为的信息有限。本研究的目的是(1)描述美国最近一个具有全国代表性的样本中与健康应用程序使用相关的社会人口学特征；(2)评估使用健康应用程序促进健康的态度和行为预测因素；以及(3)检查健康相关应用程序的使用与满足推荐的水果和蔬菜摄入量和体力活动指南之间的关联。移动设备和健康应用用户的数据来自国家癌症研究所2015年健康信息全国趋势调查(HINTS)，该调查旨在提供具有全国代表性的美国健康信息估计，并在互联网上公开提供。我们使用多变量Logistic回归模型来评估移动设备和健康应用程序使用的社会人口学预测因素，并检查应用程序使用、改变行为的意图与水果和蔬菜消费、体力活动和减肥的实际行为变化之间的关联。在3,677名受访者中，年龄较大(45-，优势比，OR 0.56，95%CI 0.47-68；65岁以上，OR 0.19，95%CI 0.14-0.24)、男性(OR 0.80，95%CI 0.66-0.94)、学历(OR 2.83，95%CI 2.18-3.70)或高中以下(OR 0.43，95%CI 0.24-0.72)均与使用健康应用的可能性降低显著相关。同样，年龄和教育程度都是预测一个人是否使用移动设备的重要变量，特别是如果这个人是大学毕业生(OR 3.30)。有应用程序的人更有可能表示打算增加水果(63.8%比没有应用程序的58.5%，P=.01)和蔬菜(74.9%比64.3%，P<；.01)消费、体育锻炼(83.0%比65.4%，P<；.01)和减肥(83.4%比71.8%，P<；.01)。有应用程序的人也比没有设备或健康应用程序的人更有可能达到推荐的体力活动(P<；.01)。健康应用的主要用户是年龄更小、受教育程度更高、报告健康状况良好、收入更高的个人。尽管性别、年龄和教育程度存在差异，但许多个人社会人口因素对移动设备参与度和健康应用程序使用的影响正在减弱。APP的使用与改变饮食和体力活动以及满足体力活动建议的意图有关。
Mobile phone use and the adoption of healthy lifestyle software apps (“health apps”) are rapidly proliferating. There is limited information on the users of health apps in terms of their social demographic and health characteristics, intentions to change, and actual health behaviors. The objectives of our study were to (1) to describe the sociodemographic characteristics associated with health app use in a recent US nationally representative sample; (2) to assess the attitudinal and behavioral predictors of the use of health apps for health promotion; and (3) to examine the association between the use of health-related apps and meeting the recommended guidelines for fruit and vegetable intake and physical activity. Data on users of mobile devices and health apps were analyzed from the National Cancer Institute’s 2015 Health Information National Trends Survey (HINTS), which was designed to provide nationally representative estimates for health information in the United States and is publicly available on the Internet. We used multivariable logistic regression models to assess sociodemographic predictors of mobile device and health app use and examine the associations between app use, intentions to change behavior, and actual behavioral change for fruit and vegetable consumption, physical activity, and weight loss. From the 3677 total HINTS respondents, older individuals (45-64 years, odds ratio, OR 0.56, 95% CI 0.47-68; 65+ years, OR 0.19, 95% CI 0.14-0.24), males (OR 0.80, 95% CI 0.66-0.94), and having degree (OR 2.83, 95% CI 2.18-3.70) or less than high school education (OR 0.43, 95% CI 0.24-0.72) were all significantly associated with a reduced likelihood of having adopted health apps. Similarly, both age and education were significant variables for predicting whether a person had adopted a mobile device, especially if that person was a college graduate (OR 3.30). Individuals with apps were significantly more likely to report intentions to improve fruit (63.8% with apps vs 58.5% without apps, P=.01) and vegetable (74.9% vs 64.3%, P<.01) consumption, physical activity (83.0% vs 65.4%, P<.01), and weight loss (83.4% vs 71.8%, P<.01). Individuals with apps were also more likely to meet recommendations for physical activity compared with those without a device or health apps (56.2% with apps vs 47.8% without apps, P<.01). The main users of health apps were individuals who were younger, had more education, reported excellent health, and had a higher income. Although differences persist for gender, age, and educational attainment, many individual sociodemographic factors are becoming less potent in influencing engagement with mobile devices and health app use. App use was associated with intentions to change diet and physical activity and meeting physical activity recommendations.