背景:由于数字设备和互联网的可用性和可访问性的提高,屏幕使用时间在过去十年中有所增加。一些研究表明,屏幕使用时间的增加与焦虑和抑郁等心理健康问题之间存在关联。然而,在年轻成人人群中的研究是有限的-一个具有高屏幕使用率的人群-以及在低收入和中等收入国家环境中的研究。
目的:该方案描述了一项旨在测量印度年轻人(18-24岁)自我报告的屏幕使用时间和模式的研究,并评估增加的屏幕使用时间是否与较差的心理健康相关。
方法:该协议描述了一个泛印度的横断面研究,基于网络的年轻人(18-24岁)的便利样本,可以使用带有屏幕和最低程度的中学教育的数字设备。参与者将通过调查人员的专业网络中的人员招募,其中包括儿科医生。调查还将通过我们组织的社交媒体页面分发(X[XCorp],Instagram[Meta],Facebook[Meta],etc).社会人口统计详细信息将通过作者设计的问卷收集;屏幕使用时间和模式将使用屏幕时间问卷的改编进行评估,以包括数字设备上使用的不同应用程序和网站的数据;心理健康参数将使用华威-爱丁堡心理健康量表进行衡量,广义焦虑症量表,感知压力量表,和患者健康问卷。为了进行统计分析,我们将考虑以下变量:(1)主要自变量是屏幕使用时间;(2)其他自变量包括年龄,性别,居住地:农村或城市,教育资格,就业状况,与家庭财务状况相关的压力,平均睡眠时间,住在房子里或房子里的房间里的人数,BMI,物质使用,和过去的精神病史;(3)因变量包括心理健康,抑郁症,焦虑,和感知的压力。为了量化屏幕使用时间与心理健康之间的关联,我们将进行贝叶斯多变量多元回归分析,在考虑相关社会人口统计学协变量的同时,对多个替代假设的可能性进行建模.
结果:已经设计了测量仪器,并从领域专家和我们组织的成员那里获得了反馈,他们的个人资料与潜在的研究参与者相似。本研究进行后收到的最终数据将被分析和共享。截至2023年1月,我们尚未开始数据收集。
结论:根据本研究的结果,我们将能够建立设备和使用特定的屏幕使用时间和各种心理健康参数之间的相关性。这将为在年轻人中制定屏幕使用时间和心理健康指南提供指导。
■PRR1-10.2196/39707。
BACKGROUND: Screen use time has increased in the past decade owing to the increased availability and accessibility of digital devices and the internet. Several studies have shown an association between increased screen use time and mental health issues such as anxiety and depression. However, studies in the young adult population-a demographic with high screen use-and in low- and middle-income country settings are limited.
OBJECTIVE: This protocol describes a study that aims to measure self-reported screen use times and patterns in young adults (18-24 y) in India and assess if increased screen use time is associated with poorer mental well-being.
METHODS: This protocol describes a cross-sectional study of a pan-India, web-based convenience sample of young adults (18-24 y) with access to digital devices with a screen and a minimum of secondary school education. Participants will be recruited through people in the professional networks of the investigators, which includes pediatricians. The survey will also be distributed via the social media pages of our organization (X [X Corp], Instagram [Meta], Facebook [Meta], etc). Sociodemographic details will be collected through a questionnaire designed by the authors; screen use time and patterns will be assessed using an adaptation of the Screen Time Questionnaire to include data on different apps and websites used on digital devices; and mental health parameters will be gauged using the Warwick-Edinburgh Mental Well-Being Scale, Generalized Anxiety Disorder Scale, Perceived Stress Scale, and Patient Health Questionnaire. For statistical analysis, we will consider the following variables: (1) the primary independent variable is screen use time; (2) other independent variables include age, gender, residence: rural or urban, educational qualifications, employment status, stress associated with familial financial status, average sleep time, number of people living in a house or rooms in that house, BMI, substance use, and past psychiatric history; and (3) dependent variables include mental well-being, depression, anxiety, and perceived stress. To quantify the association between screen use time and mental health, we will perform a Bayesian multivariate multiple regression analysis that models the possibility of multiple alternative hypotheses while accounting for relevant sociodemographic covariables.
RESULTS: The survey instrument has been designed, and feedback has been obtained from the domain experts and members of our organization whose profile is similar to the potential study participants. The final data received after this study has been conducted will be analyzed and shared. As of January 2023, we have not yet initiated the data collection.
CONCLUSIONS: Based on the findings of this study, we will be able to establish a correlation between device- and use-specific screen use time and various mental health parameters. This will provide a direction to develop screen use time and mental health guidelines among young adults.
UNASSIGNED: PRR1-10.2196/39707.