Suicide during the COVID-19 pandemic: Uncovering demographic and regional variation in the United States and associations with unemployment and depression

Kodai Kusano , Ayse K. Uskul , Markus Kemmelmeier
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Abstract

The COVID-19 pandemic heightened risk factors for suicide globally. Using prominent sociocultural theories of suicide, we investigated whether the COVID-19 pandemic affected suicide rates differently across demographic groups and regions in the United States of America. In Study 1, we found that after 2020 suicide rates increased especially among young Black and Alaskan Native populations. Conditional process analyses were conducted to shed light on racial disparities in the temporal impact of unemployment on suicide from 2018 to 2021. The results showed that suicides among younger Asians and Blacks were affected by the surge in unemployment, whereas Whites, especially the older population, benefitted from the increased unemployment. In Study 2, we explored the regional variation in the temporal associations between suicide, unemployment, and depression across the 50 U.S. states from 2019 to 2021 taking into account pre-pandemic between-state conditions. Multilevel regression analyses showed that urbanism (characterized by low firearm proportion, high income, high cultural looseness, and high population density) but not social integration (characterized by low social capital, high collectivism, and high southerness), partially explained the regional variation in the temporal pattern of suicide rates. We also found that in states with already high depression levels, the temporal increase in depression predicted increases in suicide from 2019 to 2021, whereas it had minimal impact in states with low average depression. We emphasize the need for future theories to consider longitudinal designs and highlight two key takeaways: (1) the pandemic reshaped racial disparities in suicide, and (2) the temporal effects brought by the national crisis on suicide patterns depended on existing between-state differences.

Abstract Image

COVID-19大流行期间的自杀:揭示美国的人口和地区差异以及与失业和抑郁的关联
COVID-19大流行加剧了全球自杀的危险因素。利用著名的自杀社会文化理论,我们调查了COVID-19大流行对美国不同人口群体和地区的自杀率是否有不同的影响。在研究1中,我们发现,在2020年之后,自杀率上升,尤其是在年轻的黑人和阿拉斯加土著人口中。通过条件过程分析,揭示了2018年至2021年失业对自杀的时间影响中的种族差异。结果显示,年轻的亚洲人和黑人的自杀受到失业率激增的影响,而白人,尤其是老年人口,则受益于失业率的上升。在研究2中,我们探讨了2019年至2021年美国50个州自杀、失业和抑郁之间时间关联的区域差异,同时考虑了州间大流行前的情况。多元回归分析表明,城市化(以低持枪比例、高收入、高文化宽松度和高人口密度为特征)而非社会一体化(以低社会资本、高集体主义和高南方性为特征)可以部分解释自杀率时间格局的区域差异。我们还发现,在抑郁水平已经很高的州,抑郁症的时间增加预示着2019年至2021年自杀率的增加,而在平均抑郁水平较低的州,它的影响微乎其微。我们强调未来的理论需要考虑纵向设计,并强调两个关键要点:(1)大流行重塑了自杀的种族差异;(2)国家危机对自杀模式带来的时间影响取决于存在的州际差异。
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CiteScore
1.70
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140 days
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