Suppr超能文献

末日刷屏量表:其与人格特质、心理困扰、社交媒体使用及幸福感的关联

Doomscrolling Scale: its Association with Personality Traits, Psychological Distress, Social Media Use, and Wellbeing.

作者信息

Satici Seydi Ahmet, Gocet Tekin Emine, Deniz M Engin, Satici Begum

机构信息

Department of Psychological Counselling, Faculty of Education, Yildiz Technical University, 34220 Istanbul, Türkiye.

Department of Foreign Languages, Sakarya University, Sakarya, Türkiye.

出版信息

Appl Res Qual Life. 2023;18(2):833-847. doi: 10.1007/s11482-022-10110-7. Epub 2022 Oct 19.

Abstract

Doomscrolling is a fairly new concept in mental health research which has attracted significant attention in recent years. This paper consists of three separate studies examining doomscrolling. In Study I ( = 378), both 15-item and 4-item forms of Doomscrolling Scale (DS) were confirmed by confirmatory factor analysis. Item Response Analysis demonstrated that all items had strong discriminative power. Different reliability coefficients supported the high reliability of DS. In Study II ( = 419), both correlation and network analysis indicated that doomscrolling was significantly associated with big five personality traits, social media addiction, fear of missing out, and some features of social media usage. In Study III ( = 460), the relationship of doomscrolling with psychological distress and wellbeing indicators -life satisfaction, mental well-being and harmony in life- were investigated. Structural equation modeling indicated that the relationship between doomscrolling and wellbeing indicators were mediated by psychological distress. This comprehensive and pioneering study on doomscrolling has highlighted the individual and social impacts of doomscrolling.

摘要

末日滚动是心理健康研究中一个相当新的概念,近年来引起了广泛关注。本文由三项独立研究组成,对末日滚动进行了考察。在研究I(n = 378)中,通过验证性因素分析证实了末日滚动量表(DS)的15项和4项形式。项目反应分析表明,所有项目都具有很强的区分能力。不同的信度系数支持了DS的高信度。在研究II(n = 419)中,相关分析和网络分析均表明,末日滚动与大五人格特质、社交媒体成瘾、错失恐惧以及社交媒体使用的一些特征显著相关。在研究III(n = 460)中,考察了末日滚动与心理困扰和幸福感指标(生活满意度、心理健康和生活和谐)之间的关系。结构方程模型表明,末日滚动与幸福感指标之间的关系是由心理困扰介导的。这项关于末日滚动的全面且具有开创性的研究突出了末日滚动的个人和社会影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a0f/9580444/7be4a1f21890/11482_2022_10110_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验