Osong Public Health and Research Perspectives

Original Articles

A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020: Baksun Sung; Osong Public Health Res Perspect. 2021;12(3):149-157. Published online June 2, 2021; DOI: https://doi.org/10.24171/j.phrp.2020.0372

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Objectives
Coronavirus disease 2019 (COVID-19) is classified as a natural hazard, and social vulnerability describes the susceptibility of social groups to potential damages from natural hazards. Therefore, the objective of this study was to examine the association between social vulnerability and the cumulative number of confirmed COVID-19 deaths (per 100,000) in 3,141 United States counties.
Methods
The cumulative number of COVID-19 deaths was obtained from USA Facts. Variables related to social vulnerability were obtained from the Centers for Disease Control and Prevention Social Vulnerability Index and the 2018 5-Year American Community Survey. Data were analyzed using spatial autoregression models.
Results
Lowest income and educational level, as well as high proportions of single parent households, mobile home residents, and people without health insurance were positively associated with a high cumulative number of COVID-19 deaths.
Conclusion
In conclusion, there are regional differences in the cumulative number of COVID-19 deaths in United States counties, which are affected by various social vulnerabilities. Hence, these findings underscore the need to take social vulnerability into account when planning interventions to reduce COVID-19 deaths.

Citations

Citations to this article as recorded by

Ecological comparison of six countries in two waves of COVID-19
Meiheng Liu, Leiyu Shi, Manfei Yang, Jun Jiao, Junyan Yang, Mengyuan Ma, Wanzhen Xie, Gang Sun
Frontiers in Public Health.2024;[Epub] CrossRef
Social vulnerability and COVID-19 in Maringá, Brazil
Matheus Pereira Libório, Oseias da Silva Martinuci, Patrícia Bernardes, Natália Cristina Alves Caetano Chav Krohling, Guilherme Castro, Henrique Leonardo Guerra, Eduardo Alcantara Ribeiro, Udelysses Janete Veltrini Fonzar, Ícaro da Costa Francisco
Spatial Information Research.2023; 31(1): 51. CrossRef
A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran
Mahmoud Arvin, Shahram Bazrafkan, Parisa Beiki, Ayyoob Sharifi
International Journal of Disaster Risk Reduction.2023; 84: 103495. CrossRef
Global mapping of epidemic risk assessment toolkits: A scoping review for COVID-19 and future epidemics preparedness implications
Bach Xuan Tran, Long Hoang Nguyen, Linh Phuong Doan, Tham Thi Nguyen, Giang Thu Vu, Hoa Thi Do, Huong Thi Le, Carl A. Latkin, Cyrus S. H. Ho, Roger C. M. Ho, Md Nazirul Islam Sarker
PLOS ONE.2022; 17(9): e0272037. CrossRef
COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities
Victoria J McGowan, Clare Bambra
The Lancet Public Health.2022; 7(11): e966. CrossRef

Gender Difference in the Association Between E-Cigarette Use and Depression among US Adults: Baksun Sung; Osong Public Health Res Perspect. 2021;12(1):13-19. Published online February 23, 2021; DOI: https://doi.org/10.24171/j.phrp.2021.12.1.03

8,850 View
143 Download
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Abstract PDF

Objectives

The objective of this study was to determine the association between e-cigarette use and depression and examine how this association is different by gender among US adults.

Methods

Data from the 2017 Behavioral Risk Factor Surveillance System and Selected Metropolitan/Micropolitan Area Risk Trends was used, and included 174,351 of 230,875 US adults aged 18 years and older. Data were analyzed using the multivariate logistic regression models.

Results

After adjusting for age, race, education, income, marital status, employment status, smoking status, and physical activity, firstly, “current daily e-cigarette users” (AOR = 2.487, p < 0.001), “current non-daily e-cigarette users” (AOR = 1.623, p < 0.001), and “former e-cigarette users” (AOR = 1.573, p < 0.001) were associated with increased odds of depression compared with “never e-cigarette users.” Secondly, women were associated with increased odds of depression compared with men (AOR = 1.797, p < 0.001). Finally, male “current daily e-cigarette users” (AOR = 1.366, p < 0.01) were associated with increased odds of depression compared with female “never e-cigarette users.”

Conclusion

Thus, even though women tend to be more vulnerable to depression compared with men, e-cigarette use was positively associated with depression among both men and women.

Citations

Citations to this article as recorded by

Association between e-cigarette use behaviors and perceived harmfulness of e-cigarettes and anxiety/depression symptoms among Black/African American Adults
David Adzrago, Kayo Fujimoto, Melissa B. Harrell, Antwan Jones, J. Michael Wilkerson
Preventive Medicine Reports.2023; 31: 102080. CrossRef
Association between E-Cigarette Use Behaviors and Anxiety/Depression among Black/African American Adults Based on Sexual Identity
David Adzrago, Melissa B. Harrell, Kayo Fujimoto, Antwan Jones, J. Michael Wilkerson
International Journal of Environmental Research an.2023; 20(3): 2078. CrossRef
The Association Between Nicotine Dependence and Mental Health in the General Population of Saudi Arabia: A Cross-Sectional Analytical Study
Danah Abdullah Albarrak, Abdulrahman Bandar Alotaibi, Roaa Faisal Alotaibi, Sara Hussain Alramadhan, Alhanouf Ibrahim Bin Muhanna, Abdulrahman Mohammed Aldehan, Khalid A Bin Abdulrahman
International Journal of General Medicine.2023; Volume 16: 5801. CrossRef
Use of electronic vaping products and mental health among adolescent high school students in the United States: The moderating effect of sex
Philip Baiden, Hannah S. Szlyk, Patricia Cavazos-Rehg, Henry K. Onyeaka, JaNiene E. Peoples, Erin Kasson
Journal of Psychiatric Research.2022; 147: 24. CrossRef

Multilevel Analysis of Socio-Demographic Disparities in Adulthood Obesity Across the United States Geographic Regions: Baksun Sung, Amin Etemadifar; Osong Public Health Res Perspect. 2019;10(3):137-144. Published online June 30, 2019; DOI: https://doi.org/10.24171/j.phrp.2019.10.3.04

5,563 View
58 Download
4 Crossref

Abstract PDF

Objectives

The objective of this study was to examine the socio-demographic disparities in obesity among US adults across 130 metropolitan and micropolitan statistical areas.

Methods

This study used data from the 2015 Behavioral Risk Factor Surveillance System and Selected Metropolitan/Micropolitan Area Risk Trend of 159,827 US adults aged 18 years and older. Data were analyzed using the multilevel linear regression models.

Results

According to individual level analyses, socio-demographic disparities in obesity exist in the United States. Individuals with low socioeconomic status were associated with a higher body mass index. The participants from the Midwest United States tend to have higher body mass index than those who from the South. According to metropolitan and micropolitan statistical area level analyses, secondly, there were significant differences in obesity status between different areas and the relation of obesity with 5 socio-demographic factors varied across different areas. According to geospatial mapping analyses, even though obesity status by metropolitan and micropolitan statistical area level has improved overtime, differences in body mass index between United States regions are increasing from 2007 to 2015.

Conclusion

Socio-demographic and regional disparities in obesity status persist among US adults. Hence, these findings underscore the need to take socio-environmental factors into account when planning obesity prevention on vulnerable populations and areas.

Citations

Citations to this article as recorded by

County‐level socio‐environmental factors and obesity prevalence in the United States
Pedro R. V. O. Salerno, Alice Qian, Weichuan Dong, Salil Deo, Khurram Nasir, Sanjay Rajagopalan, Sadeer Al‐Kindi
Diabetes, Obesity and Metabolism.2024; 26(5): 1766. CrossRef
Supplemental Nutrition Assistance Program (SNAP)-Authorized Grocery, Convenience, Dollar, and Restaurant or Delivery Service Settings Are Associated With Increased Obesity Prevalence in Virginia
Bailey Houghtaling, David Kniola, Sarah Misyak
American Journal of Health Promotion.2021; 35(1): 127. CrossRef
The effects of the built environment on the general health, physical activity and obesity of adults in Queensland, Australia
Siqin Wang, Yan Liu, Jack Lam, Mei-Po Kwan
Spatial and Spatio-temporal Epidemiology.2021; 39: 100456. CrossRef
Exposure to air pollutants and the gut microbiota: a potential link between exposure, obesity, and type 2 diabetes
Maximillian J. Bailey, Noopur N. Naik, Laura E. Wild, William B. Patterson, Tanya L. Alderete
Gut Microbes.2020; 11(5): 1188. CrossRef

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