Choi S H, Kim S
College of Liberal Arts and Sciences, Azusa Pacific University, USA.
Public Health Pract (Oxf). 2023 Jun;5:100360. doi: 10.1016/j.puhip.2023.100360. Epub 2023 Jan 26.
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.
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.
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.
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.
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.
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。
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。
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。
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。
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。