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      Association of Social and Behavioral Risk Factors With Mortality Among US Veterans With COVID-19

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          Abstract

          This cohort study examines the implications of inadequate housing; financial difficulty; and alcohol, tobacco, or substance use as well as race/ethnicity and other covariates for veterans with symptomatic SARS-CoV-2 infection or COVID-19.

          Key Points

          Question

          Are social and behavioral risk factors associated with mortality in US veterans with COVID-19?

          Findings

          In this cohort study of 27 640 veterans who received a positive test result for COVID-19, risk factors such as housing problems, financial hardship, alcohol use, tobacco use, and substance use were not associated with higher mortality.

          Meaning

          This study found no association between social and behavioral risk factors and death from COVID-19 in an integrated VA health system; such a system is known to transcend social vulnerabilities and has the potential to be a model of support services for households and at-risk populations in the US.

          Abstract

          Importance

          The US Department of Veterans Affairs (VA) offers programs that reduce barriers to care for veterans and those with housing instability, poverty, and substance use disorder. In this setting, however, the role that social and behavioral risk factors play in COVID-19 outcomes is unclear.

          Objective

          To examine whether social and behavioral risk factors were associated with mortality among US veterans with COVID-19 and whether this association might be modified by race/ethnicity.

          Design, Setting, and Participants

          This cohort study obtained data from the VA Corporate Data Warehouse to form a cohort of veterans who received a positive COVID-19 test result between March 2 and September 30, 2020, in a VA health care facility. All veterans who met the inclusion criteria were eligible to participate in the study, and participants were followed up for 30 days after the first SARS-CoV-2 or COVID-19 diagnosis. The final follow-up date was October 31, 2020.

          Exposures

          Social risk factors included housing problems and financial hardship. Behavioral risk factors included current tobacco use, alcohol use, and substance use.

          Main Outcomes and Measures

          The primary outcome was all-cause mortality in the 30-day period after the SARS-CoV-2 or COVID-19 diagnosis date. Multivariable logistic regression was used to estimate odds ratios, clustering for health care facilities and adjusting for age, sex, race, ethnicity, marital status, clinical factors, and month of COVID-19 diagnosis.

          Results

          Among 27 640 veterans with COVID-19 who were included in the analysis, 24 496 were men (88.6%) and the mean (SD) age was 57.2 (16.6) years. A total of 3090 veterans (11.2%) had housing problems, 4450 (16.1%) had financial hardship, 5358 (19.4%) used alcohol, and 3569 (12.9%) reported substance use. Hospitalization occurred in 7663 veterans (27.7%), and 1230 veterans (4.5%) died. Housing problems (adjusted odds ratio [AOR], 0.96; 95% CI, 0.77-1.19; P = .70), financial hardship (AOR, 1.13; 95% CI, 0.97-1.31; P = .11), alcohol use (AOR, 0.82; 95% CI, 0.68-1.01; P = .06), current tobacco use (AOR, 0.85; 95% CI, 0.68-1.06; P = .14), and substance use (AOR, 0.90; 95% CI, 0.71-1.15; P = .41) were not associated with higher mortality. Interaction analyses by race/ethnicity did not find associations between mortality and social and behavioral risk factors.

          Conclusions and Relevance

          Results of this study showed that, in an integrated health system such as the VA, social and behavioral risk factors were not associated with mortality from COVID-19. Further research is needed to substantiate the potential of an integrated health system to be a model of support services for households with COVID-19 and populations who are at risk for the disease.

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          Most cited references36

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          The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test.

          To evaluate the 3 alcohol consumption questions from the Alcohol Use Disorders Identification Test (AUDIT-C) as a brief screening test for heavy drinking and/or active alcohol abuse or dependence. Patients from 3 Veterans Affairs general medical clinics were mailed questionnaires. A random, weighted sample of Health History Questionnaire respondents, who had 5 or more drinks over the past year, were eligible for telephone interviews (N = 447). Heavy drinkers were oversampled 2:1. Patients were excluded if they could not be contacted by telephone, were too ill for interviews, or were female (n = 54). Areas under receiver operating characteristic curves (AUROCs) were used to compare mailed alcohol screening questionnaires (AUDIT-C and full AUDIT) with 3 comparison standards based on telephone interviews: (1) past year heavy drinking (>14 drinks/week or > or =5 drinks/ occasion); (2) active alcohol abuse or dependence according to the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition, criteria; and (3) either. Of 393 eligible patients, 243 (62%) completed AUDIT-C and interviews. For detecting heavy drinking, AUDIT-C had a higher AUROC than the full AUDIT (0.891 vs 0.881; P = .03). Although the full AUDIT performed better than AUDIT-C for detecting active alcohol abuse or dependence (0.811 vs 0.786; P<.001), the 2 questionnaires performed similarly for detecting heavy drinking and/or active abuse or dependence (0.880 vs 0.881). Three questions about alcohol consumption (AUDIT-C) appear to be a practical, valid primary care screening test for heavy drinking and/or active alcohol abuse or dependence.
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            Risk Factors for Hospitalization, Mechanical Ventilation, or Death Among 10 131 US Veterans With SARS-CoV-2 Infection

            Key Points Question What are the risk factors associated with hospitalization, mechanical ventilation, and death among patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection? Findings In this national cohort study of 88 747 veterans tested for SARS-CoV-2, hospitalization, mechanical ventilation, and mortality were significantly higher in patients with positive SARS-CoV-2 test results than among those with negative test results. Significant risk factors for mortality included older age, high regional coronavirus disease 2019 burden, higher Charlson Comorbidity Index score, fever, dyspnea, and abnormal results in many routine laboratory tests; however, obesity, Black race, Hispanic ethnicity, chronic obstructive pulmonary disease, hypertension, and smoking were not associated with mortality. Meaning In this study, most deaths from SARS-CoV-2 occurred in patients with age of 50 years or older, male sex, and greater comorbidity burden.
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              The Impact of Social Vulnerability on COVID-19 in the U.S.: An Analysis of Spatially Varying Relationships

              Introduction Because of their inability to access adequate medical care, transportation, and nutrition, socially vulnerable populations are at increased risk of health challenges during disasters. This study estimates the association between case counts of coronavirus disease 2019 (COVID-19) infection and social vulnerability in the U.S., identifying counties at increased vulnerability to the pandemic. Methods Using Social Vulnerability Index and COVID-19 case count data, an ordinary least squares regression model was fitted to assess the “global” relationship between COVID-19 case counts and social vulnerability. Local relationships were assessed using a geographically weighted regression model, which is effective in exploring spatial non-stationarity. Results As of May 12, 2020, a total of 1,320,909 people had been diagnosed with COVID-19 in the U.S. Of the counties included in this study (91.5%, 2,844/3,108), the highest case count was recorded in Trousdale, Tennessee (16,525.22 per 100,000) and the lowest in Tehama, California (1.54 per 100,000). At the “global” level, overall Social Vulnerability Index (e β=1.65, p=0.03) and minority status and language (e β=6.69, p<0.001) were associated with increased COVID-19 case counts. However, based on the “local” geographically weighted model, the association between social vulnerability and COVID-19 varied among counties. Overall, minority status and language, household composition and transportation, and housing and disability predicted COVID-19 infection. Conclusions Large-scale disasters differentially affect the health of marginalized communities. In this study, minority status and language, household composition and transportation, and housing and disability predicted COVID-19 case counts in the U.S. Addressing the social factors that create poor health is essential to reducing inequities in the health impacts of disasters.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                9 June 2021
                June 2021
                9 June 2021
                : 4
                : 6
                : e2113031
                Affiliations
                [1 ]San Francisco VA Medical Center, San Francisco, California
                [2 ]Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
                [3 ]Institute for Global Health Sciences, University of California, San Francisco, San Francisco
                [4 ]F.I. Proctor Foundation, University of California, San Francisco, San Francisco
                [5 ]US Department of Veterans Affairs, Health Services and Development, Center for Health Information and Communication, Indianapolis, Indiana
                [6 ]Department of Medicine, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana
                [7 ]Veterans Affairs Medical Center, Indianapolis, Indiana
                [8 ]Department of Medicine, Indiana University School of Medicine, Indianapolis
                [9 ]Regenstrief Institute, Indianapolis, Indiana
                [10 ]Department of Medicine, University of California, San Francisco, San Francisco
                Author notes
                Article Information
                Accepted for Publication: April 13, 2021.
                Published: June 9, 2021. doi:10.1001/jamanetworkopen.2021.13031
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Kelly JD et al. JAMA Network Open.
                Corresponding Author: J. Daniel Kelly, MD, MPH, Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th St, San Francisco, CA 94143 ( dan.kelly@ 123456ucsf.edu ).
                Author Contributions: Mr Leonard and Dr Keyhani had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Kelly, Wray, Myers, Keyhani.
                Acquisition, analysis, or interpretation of data: Kelly, Bravata, Bent, Leonard, Boscardin, Keyhani.
                Drafting of the manuscript: Kelly, Leonard.
                Critical revision of the manuscript for important intellectual content: Kelly, Bravata, Bent, Wray, Boscardin, Myers, Keyhani.
                Statistical analysis: Kelly, Leonard, Boscardin.
                Obtained funding: Keyhani.
                Administrative, technical, or material support: Kelly, Bravata, Bent, Wray, Leonard, Myers.
                Supervision: Kelly, Keyhani.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: This work was supported by grant 1IP1HX001994 from the US Department of Veterans Affairs. Dr Kelly was supported by K23 grant AI135037 from the National Institute of Allergy and Infectious Diseases.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Contributions: We thank the US veterans for their contributions to this research and ultimately ending the COVID-19 pandemic.
                Article
                zoi210391
                10.1001/jamanetworkopen.2021.13031
                8190626
                34106264
                dd3cfc4f-636c-4601-895a-93725f7ab59e
                Copyright 2021 Kelly JD et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 17 November 2020
                : 13 April 2021
                Categories
                Research
                Original Investigation
                Online Only
                Infectious Diseases

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