Mobile Screen Time and Depressive Symptoms among College Students

大学生的手机屏幕时间与抑郁症状

• 批准号: 10291002
• 负责人: Samantha Robyn Rosenthal
• 金额: $ 31.19万
• 依托单位: JOHNSON & WALES UNIVERSITY INC
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-18 至 2024-06-17
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10291002
• 关键词: Address; Adult; Affective; Age; Android; Asia; Behavior; Car Phone; Cellular Phone; Chronic; Cognitive; Collection; Conflict (Psychology); Cross-Sectional Studies; Data Collection; Depressed mood; Development; Diagnosis; Disease; Education; Etiology; Facebook; Feeling; Friendships; Funding; Future; Goals; Health; Hour; Human; Individual; Intervention; Knowledge; Lead; Link; Literature; Manuscripts; Measures; Medical; Mental Depression; Mental Health; Morbidity - disease rate; National Institute of Mental Health; Nature; Neurologic; Observational Study; Patient Self-Report; Pattern; Peer Review; Pilot Projects; Population; Prospective cohort; Prospective cohort study; Public Health; Publishing; Recurrence; Reporting; Research; Research Assistant; Research Design; Research Personnel; Research Project Grants; Rest; Risk; Risk Behaviors; Risk Factors; Role; Social Adjustment; Students; Support System; Testing; Time; Training; United States; United States National Institutes of Health; Universities; Wales; Well in self; Work; addiction; adverse outcome; aged; base; center for epidemiological studies depression scale; cohort; college; depressive symptoms; experience; fitness; high risk; innovation; mHealth; prospective; psychologic; single episode major depressive disorder; social; social integration; social media; social networking website; symposium; time use; tv watching; undergraduate student; university student

PROJECT SUMMARY/ABSTRACT In line with the funding goals of the National Institute of Mental Health and PAR-18-714, this application proposes a research project that investigates the relationship between smartphone use, social media needs, and depressive symptoms. College students today are suffering more than ever from depressive symptoms, finding it difficult to function, and risking chronic or recurrent disorders and longstanding morbidity. Despite the identification of various risk factors in the literature, the causal mechanisms are not well understood. Recent research suggests that excessive mobile screen time may be linked with depressive symptoms, as well as other physical, psychological, social, and neurological adverse consequences. The majority of published studies, however, occurred outside of the United States, used a cross-sectional study design, or focused solely on smartphone addiction as opposed to screen time, so a gap remains in our knowledge of the causal relationship between screen time and depression. This study will test if objective measures of mobile phone screen time, through the collection of submitted screenshots, app usage, and social media needs, are associated with change in depressive symptoms in a cohort of U.S. college students. At the end of this project, the research team will have: a) identified consistent patterns of objective measured mobile screen time, app usage, and social media needs; b) assessed associations between those patterns with existing levels of depressive symptoms in a cross- sectional analysis; and c) determined if those patterns are predictive of longitudinal changes in depressive symptoms. The use of objective screen time measures is an innovative, feasible, and less biased way to measure patterns of mobile screen use and app use among the U.S. college student population. Moreover, this will be the first prospective, observational study evaluating the association between mobile screen time and changes in depressive symptoms. Understanding relationships between patterns of screen time and depressive symptoms will allow clinicians and researchers in future NIH-funded studies to: 1) better, more objectively identify college students at high risk for depression; 2) develop further understanding of the role of mobile screen time in the etiology of depression; and 3) ultimately implement targeted mobile-health interventions to address college student depression. Further, undergraduate student research assistants involved in the study will gain firsthand experience implementing online data collection, executing a prospective cohort study, and applying intermediate and advanced statistical tests; they will also be authors on peer-reviewed manuscripts and present at relevant conferences.

项目总结/摘要 根据国家精神卫生研究所和PAR-18-714的资助目标，本申请提出 一个研究项目，调查智能手机的使用，社交媒体需求， 抑郁症状。今天的大学生比以往任何时候都更容易患抑郁症， 它很难发挥作用，并有慢性或复发性疾病和长期发病的风险。尽管 在文献中识别各种风险因素时，因果机制还不清楚。最近 研究表明，过多的移动的屏幕时间可能与抑郁症状有关， 生理、心理、社会和神经系统不良后果。大多数已发表的研究， 然而，发生在美国以外，使用横断面研究设计，或仅关注 与屏幕时间相反，智能手机成瘾，因此我们对因果关系的了解仍然存在差距 屏幕时间和抑郁症之间的关系。这项研究将测试是否客观衡量移动的手机屏幕时间， 通过收集提交的屏幕截图、应用程序使用情况和社交媒体需求， 抑郁症状的发生率。在这个项目结束时，研究小组将 已经：a）确定了客观测量的移动的屏幕时间、应用程序使用和社交媒体的一致模式 B）评估这些模式与交叉研究中现有抑郁症状水平之间的关联， 截面分析;以及c）确定这些模式是否预测抑郁症患者的纵向变化。 症状使用客观的屏幕时间测量方法是一种创新的、可行的、偏差较小的测量方法 美国大学生群体使用移动的屏幕和应用程序的模式。此外，这将是 第一项前瞻性、观察性研究，评估移动的屏幕时间与 抑郁症状了解屏幕时间模式与抑郁症状之间的关系 将使临床医生和研究人员在未来的NIH资助的研究：1）更好，更客观地确定大学 抑郁症高危学生; 2）进一步了解移动的屏幕时间在 抑郁症的病因; 3）最终实施有针对性的移动健康干预措施，以解决大学 学生抑郁症此外，参与研究的本科生研究助理将获得第一手资料， 有实施在线数据收集、执行前瞻性队列研究和应用中间 和先进的统计测试;他们也将是同行评审的手稿的作者，并出席相关的 两会