Suppr超能文献

大流行时期的隶属关系:决定因素和后果。

Affiliation in times of pandemics: Determinants and consequences.

机构信息

Université Clermont Auvergne, LAPSCO, CNRS, Clermont-Ferrand, France.

UMI SOURCE, Université Paris-Saclay, UVSQ, IRD, Guyancourt, France.

出版信息

PLoS One. 2024 Oct 31;19(10):e0306310. doi: 10.1371/journal.pone.0306310. eCollection 2024.

Abstract

Affiliation is a basic human need, especially during difficult times. To what extent did the need to affiliate limit our capacity to abide by health guidelines, in particular regarding social distancing, during the COVID-19 pandemic? We investigated this issue using questionnaire data from two samples of the French population collected during the first French lockdown (April-May 2020). We found that in men, higher social comparison orientation (sensitivity to the needs of others and inclination to help) and higher perceived threat increased the frequency of reported affiliative activities. At the same time, men's reported affiliative activities were associated with a lower reported intention to abide by lockdown and protective measures and lower levels of reported compliance. This pattern was not found in women. The women in our samples, as has been observed elsewhere, were largely compliant, potentially precluding any effects of affiliative needs. Basic though they may seem, affiliative needs and reported affiliative activities may have played a significant role in the implementation of sanitary guidelines during the COVID-19 pandemic.

摘要

归属是人类的基本需求,尤其是在困难时期。在 COVID-19 大流行期间,我们对归属的需求在多大程度上限制了我们遵守健康指南的能力,特别是在遵守保持社交距离方面?我们使用 2020 年 4 月至 5 月法国第一次封锁期间收集的两份法国人口样本的问卷调查数据来研究这个问题。我们发现,在男性中,较高的社会比较取向(对他人需求的敏感性和帮助倾向)和较高的感知威胁增加了报告的社交活动频率。同时,男性报告的社交活动与报告的遵守封锁和保护措施的意愿较低以及报告的遵守程度较低有关。在女性中没有发现这种模式。我们样本中的女性,就像在其他地方观察到的那样,大多是遵守规定的,这可能排除了归属需求的任何影响。尽管这些需求看似基本,但在 COVID-19 大流行期间实施卫生指南方面,归属需求和报告的社交活动可能发挥了重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b3f/11527318/3231badc8568/pone.0306310.g001.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