Suppr超能文献

与新冠疫情期间不良心理健康结果相关的因素。

Factors associated with adverse mental health outcomes during the COVID-19 pandemic.

作者信息

Choi S H, Kim S

机构信息

College of Liberal Arts and Sciences, Azusa Pacific University, USA.

出版信息

Public Health Pract (Oxf). 2023 Jun;5:100360. doi: 10.1016/j.puhip.2023.100360. Epub 2023 Jan 26.

Abstract

OBJECTIVES

Even with significant advances to advance the health status of the general American population, the increased prevalence of mental health conditions and re-emergence of highly infectious diseases across all levels of society present a significant threat. This study aimed to quantify the effects of pandemic-, healthcare-related, and sociodemographic variables on adverse mental health outcomes, and determine their relative magnitudes.

STUDY DESIGN

This study employed publicly available data from the Household Pulse Survey, conducted by the United States Census Bureau to examine the social and economic impacts of the COVID-19 pandemic on American households.

METHODS

A multiple regression model formed the basis of analysis, with adverse mental health as the outcome and various pandemic-, healthcare-related, and sociodemographic variables as predictors. Missing data was handled using multiple imputation.

RESULTS

The factors with significant contributions to adverse mental health outcomes were those associated with mental health services and prescriptions. General healthcare-related variables followed those specific to mental health, along with sociodemographic variables contributing smaller changes. There were differential outcomes in mental health that were in part attributable to sociodemographic factors, but also a lack of access to both mental and physical healthcare due to factors both related and unrelated to the ongoing pandemic.

CONCLUSIONS

There is a need for policymakers and other stakeholders to work towards a mental health system that is more robust to restrictions brought on by events like the COVID-19 pandemic, and to address inequities in health care that have been exacerbated.

摘要

目标

尽管在提升美国普通民众健康状况方面取得了重大进展,但心理健康问题患病率的上升以及各类社会层面高传染性疾病的再度出现构成了重大威胁。本研究旨在量化疫情相关、医疗保健相关及社会人口统计学变量对不良心理健康结果的影响,并确定它们的相对影响程度。

研究设计

本研究采用了美国人口普查局进行的家庭脉搏调查中的公开数据,以考察新冠疫情对美国家庭的社会和经济影响。

方法

以多元回归模型作为分析基础,将不良心理健康作为结果,将各类疫情相关、医疗保健相关及社会人口统计学变量作为预测因素。使用多重插补法处理缺失数据。

结果

对不良心理健康结果有显著影响的因素是那些与心理健康服务和处方相关的因素。一般医疗保健相关变量的影响仅次于心理健康特定变量,社会人口统计学变量的影响较小。心理健康方面存在差异结果,部分归因于社会人口统计学因素,但也归因于由于与当前疫情相关和不相关的因素导致无法获得心理和身体保健服务。

结论

政策制定者和其他利益相关者需要努力建立一个对新冠疫情等事件带来的限制更具韧性的心理健康系统,并解决已加剧的医疗保健不平等问题。

相似文献

1
7
COVID-19 impact on mental health.COVID-19 对心理健康的影响。
BMC Med Res Methodol. 2022 Jan 14;22(1):15. doi: 10.1186/s12874-021-01411-w.

本文引用的文献

5
COVID-19, mental health and ethnic minorities.2019冠状病毒病、心理健康与少数族裔
Evid Based Ment Health. 2020 Aug;23(3):89-90. doi: 10.1136/ebmental-2020-300174. Epub 2020 Jul 17.
7
Gender, income and mental health: The Turkish case.性别、收入与心理健康:土耳其案例
PLoS One. 2020 Apr 29;15(4):e0232344. doi: 10.1371/journal.pone.0232344. eCollection 2020.
10
The relationship between physical and mental health: A mediation analysis.身心健康关系:中介分析。
Soc Sci Med. 2017 Dec;195:42-49. doi: 10.1016/j.socscimed.2017.11.008. Epub 2017 Nov 8.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验