COVID-19 impact on mental health

被引:21
作者
Cui, Jingyu [1 ]
Lu, Jingwei [1 ]
Weng, Yijia [1 ]
Yi, Grace Y. [1 ,2 ]
He, Wenqing [1 ]
机构
[1] Western Univ, Dept Stat & Actuarial Sci, London, ON N6A 5B7, Canada
[2] Western Univ, Dept Comp Sci, London, ON N6A 5B7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
COVID-19; Lasso; logistic regression; mental health; missing data; multiple imputation; survey data; MULTIPLE IMPUTATION;
D O I
10.1186/s12874-021-01411-w
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background The coronavirus disease 2019 (COVID-19) pandemic has posed a significant influence on public mental health. Current efforts focus on alleviating the impacts of the disease on public health and the economy, with the psychological effects due to COVID-19 relatively ignored. In this research, we are interested in exploring the quantitative characterization of the pandemic impact on public mental health by studying an online survey dataset of the United States. Methods The analyses are conducted based on a large scale of online mental health-related survey study in the United States, conducted over 12 consecutive weeks from April 23, 2020 to July 21, 2020. We are interested in examining the risk factors that have a significant impact on mental health as well as in their estimated effects over time. We employ the multiple imputation by chained equations (MICE) method to deal with missing values and take logistic regression with the least absolute shrinkage and selection operator (Lasso) method to identify risk factors for mental health. Results Our analysis shows that risk predictors for an individual to experience mental health issues include the pandemic situation of the State where the individual resides, age, gender, race, marital status, health conditions, the number of household members, employment status, the level of confidence of the future food affordability, availability of health insurance, mortgage status, and the information of kids enrolling in school. The effects of most of the predictors seem to change over time though the degree varies for different risk factors. The effects of risk factors, such as States and gender show noticeable change over time, whereas the factor age exhibits seemingly unchanged effects over time. Conclusions The analysis results unveil evidence-based findings to identify the groups who are psychologically vulnerable to the COVID-19 pandemic. This study provides helpful evidence for assisting healthcare providers and policymakers to take steps for mitigating the pandemic effects on public mental health, especially in boosting public health care, improving public confidence in future food conditions, and creating more job opportunities.
引用
收藏
页数:11
相关论文
共 17 条
  • [1] Multiple imputation for missing data - A cautionary tale
    Allison, PD
    [J]. SOCIOLOGICAL METHODS & RESEARCH, 2000, 28 (03) : 301 - 309
  • [2] The psychological impact of the COVID-19 epidemic on college students in China
    Cao, Wenjun
    Fang, Ziwei
    Hou, Guoqiang
    Han, Mei
    Xu, Xinrong
    Dong, Jiaxin
    Zheng, Jianzhong
    [J]. PSYCHIATRY RESEARCH, 2020, 287
  • [3] Centers for Disease Control and Prevention (CDC), 2020, US COVID 19 CASES DE
  • [4] Hastie T., 2009, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, V2, DOI [10.1007/978-0-387-84858-7, DOI 10.1007/978-0-387-84858-7, 10.1007/ 978-0-387-84858-7]
  • [5] Joshi A., 2015, Br J Appl Sci Technol, V7, P396, DOI [10.9734/BJAST/2015/14975, DOI 10.9734/BJAST/2015/14975]
  • [6] Cross-validation pitfalls when selecting and assessing regression and classification models
    Krstajic, Damjan
    Buturovic, Ljubomir J.
    Leahy, David E.
    Thomas, Simon
    [J]. JOURNAL OF CHEMINFORMATICS, 2014, 6
  • [7] Little RJA, 2014, Statistical analysis with missing data. Statistical analysis with missing data, P1, DOI DOI 10.1002/9781119013563
  • [8] Lu J, 2021, R CODE COVID 19 IMP
  • [9] Rubin D. B., 1987, Multiple imputation for nonresponse in surveys, DOI DOI 10.1002/9780470316696
  • [10] Mental health problems faced by healthcare workers due to the COVID-19 pandemic-A review
    Spoorthy, Mamidipalli Sai
    Pratapa, Sree Karthik
    Mahant, Supriya
    [J]. ASIAN JOURNAL OF PSYCHIATRY, 2020, 51