不同类型社交媒体的使用对英国成年人心理健康的影响:纵向观察研究

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Yue Yu, Jennifer Dykxhoorn, Ruth Plackett
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引用次数: 0

摘要

研究背景以往的研究探讨了青少年使用社交媒体与心理健康之间的关系。然而,很少有研究使用具有全国代表性的纵向数据来探讨成年人使用社交媒体与心理健康之间的关系,以及这种关系会随着人们使用社交媒体的方式而发生怎样的变化:本研究调查了英国成年人浏览和发布社交媒体的频率与心理健康问题之间的纵向关系:这项研究包括参与英国纵向调查 "了解社会 "的 15836 名成年人(16 岁及以上)。在 "了解社会 "第 11 波(2019-2021 年)调查中,社交媒体的使用情况通过查看社交媒体和在社交媒体上发帖的频率问题进行了测量。我们分别探讨了观看和发帖的情况,以及综合曝光情况:(1) 高观看、高发帖;(2) 高观看、低发帖;(3) 低观看、高发帖;以及 (4) 低观看、低发帖。心理健康问题在第 12 波(2020-2022 年)中使用一般健康问卷(GHQ-12)进行测量,该问卷是一个经过验证的量表,用于确定常见心理健康问题的症状,分数越高表示心理健康问题越多(0 至 36 分)。在对基线 GHQ 分数、性别、年龄、种族、就业和教育进行调整后,对观看社交媒体和在社交媒体上发帖进行了未调整和调整后线性回归模型估计。我们没有发现按性别和年龄进行效应修正的证据,因此报告了总体关联:在调整后的模型中,我们没有发现观看社交媒体的频率与下一年的心理健康问题之间存在关联的证据。我们发现,每天在社交媒体上发布信息的成年人比从不在社交媒体上发布信息的成年人有更多的心理健康问题,这相当于 GHQ 分数增加了 0.35 分(β=0.35,95% CI 0.01-0.68;P=.04)。当我们同时考虑这两种社交媒体行为时,我们发现与很少浏览或发布社交媒体的人相比,经常浏览和发布社交媒体的人在第二年的GHQ得分高出0.31分(β=0.31,95% CI 0.04-0.58;P=.03):我们发现,频繁在社交媒体上发帖与一年后精神健康问题的增加有关。结论:我们发现,在社交媒体上发布信息的频率高与一年后精神健康问题的增加有关,但我们并没有发现根据浏览社交媒体内容的频率而产生类似关联的证据。这就证明,与某些类型的被动社交媒体使用(观看)相比,某些类型的主动社交媒体使用(即发帖)与心理健康结果的关系更为密切。这些结果突出表明,社交媒体的使用与心理健康之间的关系是复杂的,需要进行更多的研究来了解这些模式背后的机制,从而为有针对性的干预措施和政策提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Different Types of Social Media Use on the Mental Health of UK Adults: Longitudinal Observational Study.

Background: Previous studies have explored the association between social media use and mental health among adolescents. However, few studies using nationally representative longitudinal data have explored this relationship for adults and how the effect might change depending on how people use social media.

Objective: This study investigated the longitudinal relationship between the frequency of viewing and posting on social media and mental health problems among UK adults.

Methods: This study included 15,836 adults (aged 16 years and older) who participated in Understanding Society, a UK longitudinal survey. Social media use was measured with questions about the frequency of viewing social media and posting on social media in Understanding Society Wave 11 (2019-2021). We explored viewing and posting separately, as well as a combined exposure: (1) high viewing, high posting; (2) high viewing, low posting; (3) low viewing, high posting; and (4) low viewing, low posting. Mental health problems were measured in Wave 12 (2020-2022) using the General Health Questionnaire (GHQ-12), a validated scale for identifying symptoms of common mental health problems, where higher scores indicated more mental health problems (0 to 36). Unadjusted and adjusted linear regression models were estimated for viewing social media and posting on social media, adjusting for the baseline GHQ score, gender, age, ethnicity, employment, and education. We found no evidence for effect modification by gender and age so overall associations were reported.

Results: In our adjusted models, we found no evidence of an association between the frequency of viewing social media and mental health problems in the following year. We found that adults who posted daily on social media had more mental health problems than those who never posted on social media, corresponding to a 0.35-point increase in GHQ score (β=0.35, 95% CI 0.01-0.68; P=.04). When we considered both social media behaviors, we found that those who frequently viewed and posted on social media scored 0.31 points higher on the GHQ score (β=0.31, 95% CI 0.04-0.58; P=.03) in the following year compared to those who rarely viewed or posted on social media.

Conclusions: We found that a high frequency of posting on social media was associated with increased mental health problems a year later. However, we did not find evidence of a similar association based on the frequency of viewing social media content. This provides evidence that some types of active social media use (ie, posting) have a stronger link to mental health outcomes than some types of passive social media use (viewing). These results highlighted that the relationship between social media use and mental health is complex, and more research is needed to understand the mechanisms underlying these patterns to inform targeted interventions and policies.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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