• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

屏幕使用时间与印度青年心理健康问题的关联:一项横断面研究方案。

Screen Use Time and Its Association With Mental Health Issues in Young Adults in India: Protocol for a Cross-Sectional Study.

机构信息

Association for Socially Applicable Research, Pune, India.

Department of Pediatrics, Good Samaritan University Hospital, West Islip, NY, United States.

出版信息

JMIR Res Protoc. 2024 Jul 16;13:e39707. doi: 10.2196/39707.

DOI:10.2196/39707
PMID:39012657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11289573/
Abstract

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.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39707.

摘要

背景

由于数字设备和互联网的普及和可及性增加,过去十年中屏幕使用时间增加了。多项研究表明,屏幕使用时间增加与焦虑和抑郁等心理健康问题之间存在关联。然而,在屏幕使用时间较高的年轻成年人人群(18-24 岁)和中低收入国家的研究有限。

目的

本方案描述了一项旨在测量印度年轻成年人(18-24 岁)自我报告的屏幕使用时间和模式的研究,并评估增加屏幕使用时间是否与较差的心理健康有关。

方法

本方案描述了一项横断面研究,研究对象为印度全国范围内、通过数字设备上网且具有屏幕、至少接受过中等教育的年轻成年人(18-24 岁)。将通过研究人员的专业网络中的人员(包括儿科医生)招募参与者。调查还将通过我们组织的社交媒体页面(X [X 公司]、Instagram [Meta]、Facebook [Meta] 等)进行分发。将通过作者设计的问卷收集社会人口统计学详细信息;使用对 Screen Time Questionnaire 的改编来评估屏幕使用时间和模式,以包括数字设备上使用的不同应用程序和网站的数据;使用 Warwick-Edinburgh Mental Well-Being Scale、Generalized Anxiety Disorder Scale、Perceived Stress Scale 和 Patient Health Questionnaire 来衡量心理健康参数。对于统计分析,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、教育程度、就业状况、与家庭经济状况相关的压力、平均睡眠时间、居住在一个房子或房间中的人数、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、焦虑和感知压力。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元多重回归分析,该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

已设计了调查工具,并从领域专家和与潜在研究参与者相似的组织成员那里获得了反馈。在进行这项研究后,将对收到的最终数据进行分析和共享。截至 2023 年 1 月,我们尚未开始数据收集。

结论

根据这项研究的结果,我们将能够确定设备和使用特定的屏幕使用时间与各种心理健康参数之间的相关性。这将为制定年轻成年人的屏幕使用时间和心理健康指南提供方向。

国际注册报告标识符(IRRID):PRR1-10.2196/39707。

相似文献

1
Screen Use Time and Its Association With Mental Health Issues in Young Adults in India: Protocol for a Cross-Sectional Study.屏幕使用时间与印度青年心理健康问题的关联:一项横断面研究方案。
JMIR Res Protoc. 2024 Jul 16;13:e39707. doi: 10.2196/39707.
2
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
3
Mental health on two continua: mental wellbeing and common mental disorders in a community-based cross-sectional study with women in urban informal settlements in India.基于社区的横断面研究显示,在印度城市非正规住区的妇女中,心理健康有两个连续体:心理健康和常见精神障碍。
BMC Womens Health. 2024 Oct 9;24(1):555. doi: 10.1186/s12905-024-03389-1.
4
Mental health after the COVID-19 pandemic among Finnish youth: a repeated, cross-sectional, population-based study.新冠疫情后芬兰青年的心理健康:一项重复的、横断面的、基于人群的研究。
Lancet Psychiatry. 2024 Jun;11(6):451-460. doi: 10.1016/S2215-0366(24)00108-1.
5
Depression, anxiety, and stress and socio-demographic correlates among general Indian public during COVID-19.在 COVID-19 期间,普通印度公众中的抑郁、焦虑和压力以及社会人口统计学相关因素。
Int J Soc Psychiatry. 2020 Dec;66(8):756-762. doi: 10.1177/0020764020934508. Epub 2020 Jun 20.
6
Exploring the Relationship Between Public Social Media Accounts, Adolescent Mental Health, and Parental Guidance in England: Large Cross-Sectional School Survey Study.探索英国公共社交媒体账户、青少年心理健康与父母指导之间的关系:大型横断面学校调查研究
J Med Internet Res. 2024 Dec 17;26:e57154. doi: 10.2196/57154.
7
Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study.利用 Facebook 数据预测印度裔孟加拉人从抑郁到自杀意念的转变:一项队列研究方案。
JMIR Res Protoc. 2024 Oct 7;13:e55511. doi: 10.2196/55511.
8
Adverse childhood experiences in mental health of young adults: An exploratory study from Delhi-NCR, India.青少年心理健康方面的童年不良经历:来自印度德里国家首都辖区的一项探索性研究。
Int J Soc Psychiatry. 2024 May;70(3):445-456. doi: 10.1177/00207640231214986. Epub 2023 Dec 8.
9
A New Measure of Quantified Social Health Is Associated With Levels of Discomfort, Capability, and Mental and General Health Among Patients Seeking Musculoskeletal Specialty Care.一种新的量化社会健康指标与寻求肌肉骨骼专科护理的患者的不适程度、能力以及心理和总体健康水平相关。
Clin Orthop Relat Res. 2025 Apr 1;483(4):647-663. doi: 10.1097/CORR.0000000000003394. Epub 2025 Feb 5.
10
Exposure to COVID-19-Related Information and its Association With Mental Health Problems in Thailand: Nationwide, Cross-sectional Survey Study.暴露于与 COVID-19 相关的信息及其与泰国心理健康问题的关联:全国性、横断面调查研究。
J Med Internet Res. 2021 Feb 12;23(2):e25363. doi: 10.2196/25363.

引用本文的文献

1
Prevalence of Multimorbidity Among School-Aged Children in the Yangzhou District of China.中国扬州市学龄儿童的多重疾病患病率
Healthcare (Basel). 2025 Jun 2;13(11):1320. doi: 10.3390/healthcare13111320.

本文引用的文献

1
The association of smartphone screen time with sleep problems among adolescents and young adults: cross-sectional findings from India.智能手机屏幕时间与青少年和年轻成年人睡眠问题之间的关联:来自印度的横断面研究结果。
BMC Public Health. 2022 Sep 5;22(1):1686. doi: 10.1186/s12889-022-14076-x.
2
Changes and correlates of screen time in adults and children during the COVID-19 pandemic: A systematic review and meta-analysis.新冠疫情期间成人和儿童屏幕使用时间的变化及其相关因素:一项系统综述和荟萃分析
EClinicalMedicine. 2022 Jun;48:101452. doi: 10.1016/j.eclinm.2022.101452. Epub 2022 May 21.
3
Screen time and child behaviour and health-related quality of life: Effect of family context.屏幕使用时间与儿童行为及与健康相关的生活质量:家庭环境的影响。
Prev Med. 2021 Dec;153:106795. doi: 10.1016/j.ypmed.2021.106795. Epub 2021 Sep 8.
4
Prevalence of excessive screen time and its association with developmental delay in children aged <5 years: A population-based cross-sectional study in India.5 岁以下儿童过度屏幕时间的流行率及其与发育迟缓的关系:印度的一项基于人群的横断面研究。
PLoS One. 2021 Jul 6;16(7):e0254102. doi: 10.1371/journal.pone.0254102. eCollection 2021.
5
Why optional stopping can be a problem for Bayesians.为什么可选停止对于贝叶斯主义者来说可能是一个问题。
Psychon Bull Rev. 2021 Jun;28(3):795-812. doi: 10.3758/s13423-020-01803-x.
6
Psychological impact of COVID-19 lockdown: An online survey from India.新型冠状病毒肺炎封锁措施的心理影响:来自印度的一项在线调查。
Indian J Psychiatry. 2020 Jul-Aug;62(4):354-362. doi: 10.4103/psychiatry.IndianJPsychiatry_427_20. Epub 2020 Jul 27.
7
From TVs to tablets: the relation between device-specific screen time and health-related behaviors and characteristics.从电视到平板电脑:特定设备的屏幕时间与健康相关行为和特征的关系。
BMC Public Health. 2020 Aug 26;20(1):1295. doi: 10.1186/s12889-020-09410-0.
8
The associations between screen time-based sedentary behavior and depression: a systematic review and meta-analysis.基于屏幕时间的久坐行为与抑郁的关联:系统评价和荟萃分析。
BMC Public Health. 2019 Nov 14;19(1):1524. doi: 10.1186/s12889-019-7904-9.
9
Reliability of a new measure to assess modern screen time in adults.评估成年人现代屏幕时间的新测量工具的可靠性。
BMC Public Health. 2019 Oct 28;19(1):1386. doi: 10.1186/s12889-019-7745-6.
10
Screen-based media use and screen time assessment among adolescents residing in an Urban Resettlement Colony in New Delhi, India.印度新德里一个城市安置区青少年的基于屏幕的媒体使用情况及屏幕时间评估。
J Family Med Prim Care. 2018 Nov-Dec;7(6):1236-1242. doi: 10.4103/jfmpc.jfmpc_190_18.