Leuzzi Gaia, Job Mirko, Scafoglieri Aldo, Testa Marco
Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Campus of Savona, Via Magliotto, 2, Savona, 17100, Italy.
Department of Physical Education and Rehabilitation, Experimental Anatomy Research Group (EXAN), Vrije Universiteit Brussel, Brussels, Belgium.
JMIR Hum Factors. 2025 Sep 3;12:e64629. doi: 10.2196/64629.
Fostering innovative and more effective interventions to support active aging strategies from youth is crucial to help this population adopt healthier lifestyles using technologies they are already familiar with. Mobile health (mHealth), particularly apps and wearables, represents a promising approach due to its versatility, ease of use, and ability to monitor multiple health variables simultaneously. Moreover, these devices offer opportunities for personalization and support in health behavior change, making them valuable tools for shaping healthy habits from a young age.
This study aims to (1) investigate whether young adults (18-26 years old) use apps or wearables to monitor or improve their health variables (ie, physical activity, diet, and mental health); (2) examine how they use them; (3) identify the most commonly used apps and wearables and the most frequently monitored health variables across these domains; and (4) evaluate the importance of different characteristics and functions of apps and wearables for health purposes.
This cross-sectional study used a public involvement framework to enhance the research quality and was conducted through an anonymous web survey disseminated across Italy over a 3-month period. The survey consisted of 5 sections: (1) demographics, (2) mobile apps and wearable devices for physical activity and sports, (3) mobile apps and wearable devices for diet, (4) mobile apps and wearable devices for mental health, and (5) preferences regarding mobile apps and wearable devices. Participants were eligible if they were young adults who reported using at least one app or wearable device to monitor at least one health variable (eg, steps, training, sleep, calorie intake). No additional eligibility criteria were applied.
A total of 693 questionnaires were analyzed for aims 1 and 4, with the sample showing an equal gender distribution (females: 363/693, 52.4%). For aims 2 and 3, a total of 317 questionnaires were included. Participants using an app or wearable for physical activity accounted for 320 (46.2%), while 60 (8.7%) and 156 (22.5%) reported use for diet and mental health, respectively. Moreover, the frequency of use was predominantly on a daily basis, particularly for wearables. The app and wearable characteristics identified as most important were user-friendliness, free access to content, loading speed, and icon clarity.
Findings suggest that Italian young adults, particularly women, predominantly use wearables over apps to track health data, with both being checked on a daily basis. Physical activity is the most frequently monitored domain, likely due to its ease of tracking, while diet and mental health receive less attention. Overall, these tools are used more for monitoring than for actively improving health-related variables. The most valued characteristics identified by young adults include ease of use, free access to all content, and fast loading speed. These insights should guide the design and refinement of digital health interventions targeting this population.
培养创新且更有效的干预措施以从青年时期就支持积极老龄化战略,对于帮助这一人群利用他们已熟悉的技术采用更健康的生活方式至关重要。移动健康(mHealth),尤其是应用程序和可穿戴设备,因其多功能性、易用性以及同时监测多个健康变量的能力,是一种很有前景的方法。此外,这些设备为健康行为改变中的个性化和支持提供了机会,使其成为从年轻时就塑造健康习惯的宝贵工具。
本研究旨在(1)调查年轻成年人(18 - 26岁)是否使用应用程序或可穿戴设备来监测或改善他们的健康变量(即身体活动、饮食和心理健康);(2)研究他们如何使用这些设备;(3)确定最常用的应用程序和可穿戴设备以及这些领域中最常监测的健康变量;(4)评估应用程序和可穿戴设备不同特征和功能对健康目的的重要性。
这项横断面研究采用公众参与框架以提高研究质量,并通过在意大利为期3个月的匿名网络调查进行。该调查包括5个部分:(1)人口统计学,(2)用于身体活动和运动的移动应用程序和可穿戴设备,(3)用于饮食的移动应用程序和可穿戴设备,(4)用于心理健康的移动应用程序和可穿戴设备,以及(5)对移动应用程序和可穿戴设备的偏好。如果参与者是年轻成年人且报告使用至少一个应用程序或可穿戴设备来监测至少一个健康变量(如步数、训练、睡眠、卡路里摄入量),则符合条件。未应用其他资格标准。
共分析了693份问卷用于目标1和4,样本显示性别分布均衡(女性:363/693,52.4%)。对于目标2和3,共纳入317份问卷。使用应用程序或可穿戴设备进行身体活动的参与者占320人(46.2%),而分别有60人(8.7%)和156人(22.5%)报告用于饮食和心理健康。此外,使用频率主要是每天一次,特别是对于可穿戴设备。被认为最重要的应用程序和可穿戴设备特征是用户友好性、免费访问内容、加载速度和图标清晰度。
研究结果表明,意大利年轻成年人,尤其是女性,主要使用可穿戴设备而非应用程序来跟踪健康数据,两者均每天进行查看。身体活动是最常监测的领域,可能因其易于跟踪,而饮食和心理健康受到的关注较少。总体而言,这些工具更多地用于监测而非积极改善与健康相关的变量。年轻成年人确定的最有价值的特征包括易用性、免费访问所有内容和快速加载速度。这些见解应指导针对这一人群的数字健康干预措施的设计和完善。