Suppr超能文献

被动和主动使用社交媒体与美国成年人的抑郁症状。

Passive and Active Social Media Use and Depressive Symptoms Among United States Adults.

机构信息

1 Center for Research on Media, Technology, and Health, University of Pittsburgh , Pittsburgh, Pennsylvania.

2 Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine , Pittsburgh, Pennsylvania.

出版信息

Cyberpsychol Behav Soc Netw. 2018 Jul;21(7):437-443. doi: 10.1089/cyber.2017.0668.

Abstract

Social media allows users to explore self-identity and express emotions or thoughts. Research looking into the association between social media use (SMU) and mental health outcomes, such as anxiety or depressive symptoms, have produced mixed findings. These contradictions may best be addressed by examining different patterns of SMU as they relate to depressive symptomatology. We sought to assess the independent associations between active versus passive SMU and depressive symptoms. For this, we conducted an online survey of adults 18-49 of age. Depressive symptoms were measured using the Patient-Reported Outcomes Measurement Information System brief depression scale. We measured active and passive SMU with previously developed items. Factor analysis was used to explore the underlying factor structure. Then, we used ordered logistic regression to assess associations between both passive and active SMU and depressive symptoms while controlling for sociodemographic covariates. Complete data were received from 702 participants. Active and passive SMU items loaded on separate factors. In multivariable analyses that controlled for all covariates, each one-point increase in passive SMU was associated with a 33 percent increase in depressive symptoms (adjusted odds ratio [AOR] = 1.33, 95 percent confidence interval [CI] = 1.17-1.51). However, in the same multivariable model, each one-point increase in active SMU was associated with a 15 percent decrease in depressive symptoms (AOR = 0.85, 95 percent CI = 0.75-0.96). To inform interventions, future research should determine directionality of these associations and investigate related factors.

摘要

社交媒体允许用户探索自我认同并表达情感或想法。研究调查了社交媒体使用(SMU)与心理健康结果之间的关联,例如焦虑或抑郁症状,得出的结果喜忧参半。通过检查与抑郁症状相关的不同 SMU 模式,也许可以最好地解决这些矛盾。我们试图评估主动与被动 SMU 与抑郁症状之间的独立关联。为此,我们对 18-49 岁的成年人进行了在线调查。使用患者报告的结果测量信息系统简短抑郁量表来衡量抑郁症状。我们使用先前开发的项目来衡量主动和被动 SMU。使用因子分析来探索潜在的因子结构。然后,我们使用有序逻辑回归来评估被动和主动 SMU 与抑郁症状之间的关联,同时控制社会人口统计学协变量。从 702 名参与者中收到了完整的数据。主动和被动 SMU 项目分别加载在不同的因子上。在控制所有协变量的多变量分析中,被动 SMU 每增加一个点,抑郁症状就会增加 33%(调整后的优势比 [AOR] = 1.33,95%置信区间 [CI] = 1.17-1.51)。然而,在相同的多变量模型中,主动 SMU 每增加一个点,抑郁症状就会减少 15%(AOR = 0.85,95%CI = 0.75-0.96)。为了提供干预措施,未来的研究应该确定这些关联的方向性,并调查相关因素。

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