Deakin University School of Medicine, 75 Pigdons Road, Waurn Ponds, VIC, 3216, Australia.
Jefferson College of Population Health, Philadelphia, PA, Australia.
BMC Res Notes. 2022 Apr 5;15(1):126. doi: 10.1186/s13104-022-06015-1.
Overcrowded housing is a sociodemographic variable associated with increased infection and mortality rates from communicable diseases. It is not well understood if this association exists for COVID-19. Our objective was hence to determine the association between household overcrowding and risk of mortality from COVID-19, and this was done by performing bivariable and multivariable analyses using COVID-19 data from cities in Los Angeles County.
Bivariate regression revealed that overcrowded households were positively associated with COVID-19 deaths (standardized β = 0.863, p < 0.001). COVID-19 case totals, people aged 60+, and the number of overcrowded households met conditions for inclusion in the backwards stepwise linear regression model. Analysis revealed all independent variables were positively associated with mortality rates, primarily for individuals 60 + (standardized β = 0.375, p = 0.001), followed by overcrowded households (standardized β = 0.346, p = 0.014), and total COVID-19 cases (standardized β = 0.311, p < 0.001). Our findings highlight that residing in overcrowded households may be an important risk factor for COVID-19 mortality. Public health entities should consider this population when allocating resources for prevention and control of COVID-19 mortality and future disease outbreaks.
住房拥挤是与传染病感染率和死亡率升高相关的社会人口学变量。目前尚不清楚这种关联是否存在于 COVID-19 中。因此，我们的目的是确定家庭拥挤程度与 COVID-19 死亡率之间的关系，并通过对洛杉矶县各城市的 COVID-19 数据进行双变量和多变量分析来实现这一目标。
双变量回归显示，拥挤的家庭与 COVID-19 死亡呈正相关（标准化β=0.863，p<0.001）。COVID-19 病例总数、60 岁以上人群以及拥挤家庭的数量符合纳入后向逐步线性回归模型的条件。分析表明，所有独立变量均与死亡率呈正相关，主要是 60 岁以上人群（标准化β=0.375，p=0.001），其次是拥挤家庭（标准化β=0.346，p=0.014），以及 COVID-19 总病例（标准化β=0.311，p<0.001）。我们的研究结果表明，居住在拥挤的家庭中可能是 COVID-19 死亡的一个重要危险因素。公共卫生实体在分配资源以预防和控制 COVID-19 死亡率和未来疾病爆发时，应考虑到这一人群。
