scholarly journals Local Characteristics Related to SARS-CoV-2 Transmissions in the Seoul Metropolitan Area, South Korea

2021 ◽  
Vol 18 (23) ◽  
pp. 12595
Author(s):  
Changmin Im ◽  
Youngho Kim
Keyword(s):  
Young Adults ◽  
Metropolitan Area ◽  
Low Income ◽  
Effective Control ◽  
Targeted Intervention ◽  
Foreign Born ◽  
Local Regression ◽  
Local Characteristics ◽  
Seoul Metropolitan Area ◽  
Christian Population

The Seoul metropolitan area is one of the most populated metropolitan areas in the world; hence, Seoul’s COVID-19 cases are highly concentrated. This study identified local demographic and socio-economic characteristics that affected SARS-CoV-2 transmission to provide locally targeted intervention policies. For the effective control of outbreaks, locally targeted intervention policies are required since the SARS-CoV-2 transmission process is heterogeneous over space. To identify the local COVID-19 characteristics, this study applied the geographically weighted lasso (GWL). GWL provides local regression coefficients, which were used to account for the spatial heterogeneity of SARS-CoV-2 outbreaks. In particular, the GWL pinpoints statistically significant regions with specific local characteristics. The applied explanatory variables involving demographic and socio-economic characteristics that were associated with higher SARS-CoV-2 transmission in the Seoul metropolitan area were as follows: young adults (19~34 years), older population, Christian population, foreign-born population, low-income households, and subway commuters. The COVID-19 case data were classified into three periods: the first period (from January 2020 to July 2021), the second period (from August to November 2020), and the third period (from December 2020 to February 2021), and the GWL was fitted for the entire period (from January 2020 to February 2021). The result showed that young adults, the Christian population, and subway commuters were the most significant local characteristics that influenced SARS-CoV-2 transmissions in the Seoul metropolitan area.

scholarly journals Trauma, Sleep and Mental Health Problems in Low-Income Young Adults

2021 ◽  
Vol 18 (3) ◽  
pp. 1145
Author(s):  
Rachel A. Fusco ◽  
Yan Yuan ◽  
Hyunji Lee ◽  
Christina E. Newhill
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Low Income ◽  
Mental Health Problems ◽  
Trauma Exposure ◽  
Health Problems ◽  
Equation Modeling ◽  
Poor Sleep ◽  
Depression And Anxiety ◽  
The Relationship

Low-income young adults are more likely to have exposure to trauma, which increases risk for mental health problems. Although adequate sleep promotes good health, people with histories of trauma are more likely to have sleep problems. The current study explored whether poor sleep mediated the relationship between trauma exposure and mental health. A sample of 143 low-income 18–24-year-old young adults completed depression, anxiety, and trauma exposure measures and wore sleep monitors for four nights. Structural equation modeling (SEM) was used to examine both direct and indirect effects of variables. Results showed that higher trauma exposure was associated with depression and anxiety. Mean sleep hours per night was fewer than six, far below recommended guidelines for optimal health and functioning. Fewer sleep hours partially mediated the relationship between both trauma exposure and depression and anxiety, and the direct effect from trauma remained significant after adjusting for the partial mediation from sleep.

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