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抑郁症的预测因素:疫情期间的生活方式选择。

Predictors of depression: lifestyle choices during the pandemic.

作者信息

Tesarova Sarka, Pekacek Ondrej, Porrovecchio Alessandro

机构信息

Institute of Sociological Studies, Faculty of Social Sciences, Charles University, Prague, Czechia.

Univ. Littoral Côte d'Opale, Univ. Lille, Univ. Artois - ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, Dunkerque, France.

出版信息

Front Psychol. 2023 Oct 5;14:1194270. doi: 10.3389/fpsyg.2023.1194270. eCollection 2023.

DOI:10.3389/fpsyg.2023.1194270
PMID:37868587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10585652/
Abstract

Our study intends to specify the impact of the singular pandemic stressors on the population and also quantify the contribution of different predictors of depression; some of them are stronger than others, and this research shows how the whole effect is divided into single items. This research included a structured online survey using data from 11,340 respondents from six European countries during the first months of the pandemic. The statistical analysis focused on how behavioural patterns appear in different groups of the population and how they mark the psychological wellbeing of these groups with regard to various factors. We targeted social media's role and analyzed the impact of its consumption on symptoms of depression in different groups divided by age and other characteristics. The analysis creates a mosaic of lifestyle choices and other characteristics that manifest different effects on depression inside selected groups whereas several groups generated by the cluster analysis are less vulnerable to their effect than others. Regarding our findings, the perceived reality through information sources and the manner of their processing seems to be more significant than the tangible reality (poor self-reported health correlated with depression more strongly than intrinsic health limitations).

摘要

我们的研究旨在明确单一疫情压力源对人群的影响,并量化抑郁症不同预测因素的作用;其中一些因素的影响强于其他因素,本研究展示了整体效应是如何分解为单个因素的。这项研究包括一项结构化在线调查,使用了疫情最初几个月来自六个欧洲国家的11340名受访者的数据。统计分析聚焦于行为模式如何在不同人群组中呈现,以及它们如何根据各种因素影响这些人群组的心理健康。我们以社交媒体的作用为目标,分析了其使用情况对按年龄和其他特征划分的不同人群组中抑郁症状的影响。该分析构建了一幅生活方式选择和其他特征的图景,这些因素在选定人群组中对抑郁症表现出不同影响,而聚类分析产生的几个组对这些影响的易感性低于其他组。关于我们的研究结果,通过信息来源感知到的现实及其处理方式似乎比实际现实更重要(自我报告的健康状况不佳与抑郁症的关联比内在健康限制更强)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1e9/10585652/3f7fa0e6288c/fpsyg-14-1194270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1e9/10585652/3f7fa0e6288c/fpsyg-14-1194270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1e9/10585652/3f7fa0e6288c/fpsyg-14-1194270-g001.jpg

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Front Public Health. 2022 Feb 1;9:793868. doi: 10.3389/fpubh.2021.793868. eCollection 2021.
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Immediate and Longer-Term Changes in the Mental Health and Well-being of Older Adults in England During the COVID-19 Pandemic.英格兰 COVID-19 大流行期间老年人心理健康和幸福感的即时和长期变化。
JAMA Psychiatry. 2022 Feb 1;79(2):151-159. doi: 10.1001/jamapsychiatry.2021.3749.
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Income inequality, emotional anxiety, and self-rated health in times of the coronavirus pandemic: Evidence from a cross-national survey.
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Res Soc Stratif Mobil. 2021 Oct;75:100640. doi: 10.1016/j.rssm.2021.100640. Epub 2021 Aug 5.
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Depressive symptoms and perception of risk during the first wave of the COVID-19 pandemic: A web-based cross-country comparative survey.抑郁症状和对 COVID-19 大流行第一波期间风险的感知:一项基于网络的跨国比较调查。
Sociol Health Illn. 2021 Aug;43(7):1660-1681. doi: 10.1111/1467-9566.13350. Epub 2021 Jul 26.
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