Antezana Gaston, Venning Anthony, Smith David, Bidargaddi Niranjan
College of Medicine & Public Health, 64767Flinders University, Adelaide, South Australia.
Health Informatics J. 2022 Jan-Mar;28(1):14604582211064825. doi: 10.1177/14604582211064825.
: The potential of mobile applications (apps) as a resource to support well-being in young people is hampered by low usage. Suggested reasons for this vary from technical issues to users' psychological and personal characteristics like gender, mood and perceptions on well-being. : To identify and understand predictive variables related to the use of well-being apps by young people in the context of the 'Online Wellbeing Centre' (OWC) Randomised Controlled Trial (a study assessing changes in well-being of young people who use well-being apps). : A cross-sectional analysis using binary logistic regression was conducted, taking into account previous app usage of participants at baseline versus demographic, ecological momentary assessments, and well-being variables, of data collected in the OWC-RCT. To explore predictors further, follow-up post-RCT surveys were coded to better understand user's predisposition towards apps. : Mood ( < 0.006) and gender ( < 0.03) are significantly associated with the use of well-being apps. Female participants with elevated mood were more likely to use well-being apps before signing up into the study. Two themes were identified from participants at follow-up that related to the design of the app and engagement of the app user. Females were more likely to focus on the purpose of app, whereas males were more likely to focus on specific goals and features (e.g. tracking) offered by the app Females were able to mention the link between well-being and app usage. : Personal characteristics explain engagement with well-being apps, with mood and gender significant in the current sample. Further qualitative research may help identify other individual characteristics that explain why and how young people use well-being apps and the impact of these on a user's health.
移动应用程序(应用)作为支持年轻人幸福感的资源,其潜力因使用率低而受到阻碍。对此提出的原因各不相同,从技术问题到用户的心理和个人特征,如性别、情绪以及对幸福感的认知。
在“在线幸福中心”(OWC)随机对照试验(一项评估使用幸福应用程序的年轻人幸福感变化的研究)的背景下,确定并理解与年轻人使用幸福应用程序相关的预测变量。
使用二元逻辑回归进行横断面分析,考虑到OWC-RCT收集的数据中参与者在基线时的应用使用情况与人口统计学、生态瞬时评估和幸福感变量。为了进一步探索预测因素,对RCT后的随访调查进行编码,以更好地了解用户对应用的倾向。
情绪(<0.006)和性别(<0.03)与幸福应用程序的使用显著相关。情绪较高的女性参与者在报名参加研究之前更有可能使用幸福应用程序。随访参与者中确定了两个与应用设计和应用用户参与度相关的主题。女性更有可能关注应用的目的,而男性更有可能关注应用提供的特定目标和功能(如跟踪)。女性能够提及幸福感与应用使用之间的联系。
个人特征解释了与幸福应用程序的参与度,在当前样本中情绪和性别具有显著意义。进一步的定性研究可能有助于确定其他个体特征,这些特征解释了年轻人为何以及如何使用幸福应用程序以及这些应用程序对用户健康的影响。