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政策严格程度与新冠大流行期间的心理健康:来自 15 个国家的纵向数据分析。

Policy stringency and mental health during the COVID-19 pandemic: a longitudinal analysis of data from 15 countries.

机构信息

Department of Psychology, Simon Fraser University, Burnaby, BC, Canada.

Brazilian School of Public and Business Administration, Getulio Vargas Foundation, Rio de Janeiro, Brazil.

出版信息

Lancet Public Health. 2022 May;7(5):e417-e426. doi: 10.1016/S2468-2667(22)00060-3. Epub 2022 Apr 21.

Abstract

BACKGROUND

To date, public health policies implemented during the COVID-19 pandemic have been evaluated on the basis of their ability to reduce transmission and minimise economic harm. We aimed to assess the association between COVID-19 policy restrictions and mental health during the COVID-19 pandemic.

METHODS

In this longitudinal analysis, we combined daily policy stringency data from the Oxford COVID-19 Government Response Tracker with psychological distress scores and life evaluations captured in the Imperial College London-YouGov COVID-19 Behaviour Tracker Global Survey in fortnightly cross-sections from samples of 15 countries between April 27, 2020, and June 28, 2021. The mental health questions provided a sample size of 432 642 valid responses, with an average of 14 918 responses every 2 weeks. To investigate how policy stringency was associated with mental health, we considered two potential mediators: observed physical distancing and perceptions of the government's handling of the pandemic. Countries were grouped on the basis of their response to the COVID-19 pandemic as those pursuing an elimination strategy (countries that aimed to eliminate community transmission of SARS-CoV-2 within their borders) or those pursuing a mitigation strategy (countries that aimed to control SARS-CoV-2 transmission). Using a combined dataset of country-level and individual-level data, we estimated linear regression models with country-fixed effects (ie, dummy variables representing the countries in our sample) and with individual and contextual covariates. Additionally, we analysed data from a sample of Nordic countries, to compare Sweden (that pursued a mitigation strategy) to other Nordic countries (that adopted a near-elimination strategy).

FINDINGS

Controlling for individual and contextual variables, higher policy stringency was associated with higher mean psychological distress scores and lower life evaluations (standardised coefficients β=0·014 [95% CI 0·005 to 0·023] for psychological distress; β=-0·010 [-0·015 to -0·004] for life evaluation). Pandemic intensity (number of deaths per 100 000 inhabitants) was also associated with higher mean psychological distress scores and lower life evaluations (standardised coefficients β=0·016 [0·008 to 0·025] for psychological distress; β=-0·010 [-0·017 to -0·004] for life evaluation). The negative association between policy stringency and mental health was mediated by observed physical distancing and perceptions of the government's handling of the pandemic. We observed that countries pursuing an elimination strategy used different policy timings and intensities compared with countries pursuing a mitigation strategy. The containment policies of countries pursuing elimination strategies were on average less stringent, and fewer deaths were observed.

INTERPRETATION

Changes in mental health measures during the first 15 months of the COVID-19 pandemic were small. More stringent COVID-19 policies were associated with poorer mental health. Elimination strategies minimised transmission and deaths, while restricting mental health effects.

FUNDING

None.

摘要

背景

迄今为止,评估 COVID-19 大流行期间实施的公共卫生政策的依据是其减少传播和将经济损害最小化的能力。我们旨在评估 COVID-19 政策限制与大流行期间的心理健康之间的关联。

方法

在这项纵向分析中,我们将牛津 COVID-19 政府反应追踪器中的每日政策严格程度数据与帝国理工学院伦敦-YouGov COVID-19 行为追踪器全球调查中的心理困扰评分和生活评估相结合,该调查在 2020 年 4 月 27 日至 2021 年 6 月 28 日期间,每两周从 15 个国家的样本中进行横断面交叉采样。心理健康问题提供了 432642 个有效回复的样本量,平均每两周有 14918 个回复。为了研究政策严格程度与心理健康之间的关系,我们考虑了两个潜在的中介因素:观察到的身体距离和对政府处理大流行的看法。根据各国对 COVID-19 大流行的反应,将国家分为追求消除策略(旨在消除其边界内 SARS-CoV-2 社区传播的国家)或追求缓解策略(旨在控制 SARS-CoV-2 传播的国家)。使用国家层面和个人层面数据的综合数据集,我们估计了具有国家固定效应(即代表我们样本中的国家的虚拟变量)和个体及背景协变量的线性回归模型。此外,我们分析了北欧国家样本的数据,将瑞典(采用缓解策略)与其他北欧国家(采用近乎消除策略)进行了比较。

发现

控制个体和背景变量后,更高的政策严格程度与更高的平均心理困扰评分和更低的生活评估相关(心理困扰的标准化系数β=0.014 [95%CI 0.005 至 0.023];生活评估的标准化系数β=-0.010 [-0.015 至 -0.004])。大流行强度(每 10 万居民的死亡人数)也与更高的平均心理困扰评分和更低的生活评估相关(心理困扰的标准化系数β=0.016 [0.008 至 0.025];生活评估的标准化系数β=-0.010 [-0.017 至 -0.004])。政策严格程度与心理健康之间的负相关关系通过观察到的身体距离和对政府处理大流行的看法来介导。我们观察到,追求消除策略的国家与追求缓解策略的国家相比,采用了不同的政策时机和强度。追求消除策略的国家的遏制政策平均不那么严格,观察到的死亡人数也较少。

解释

在 COVID-19 大流行的头 15 个月期间,心理健康测量的变化很小。更严格的 COVID-19 政策与较差的心理健康状况相关。消除策略可最大限度地减少传播和死亡,同时限制心理健康的影响。

资金

无。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7749/9023007/7406bdddb6ca/gr1_lrg.jpg

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