Evidence map›Paper›PMID 36888554›Full record

ArticleJMIR formative research2023

The Relationship Between a History of High-risk and Destructive Behaviors and COVID-19 Infection: Preliminary Study.

Nicole L Vike, Sumra Bari, Khrystyna Stetsiv, Sean Woodward, Shamal Lalvani, Leandros Stefanopoulos, Byoung Woo Kim, Nicos Maglaveras, Aggelos K Katsaggelos, Hans C Breiter

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Nicole L VikeDepartment of Computer Science, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-8617-2377
Sumra BariDepartment of Computer Science, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-2406-2463
Khrystyna Stetsiv *Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-7816-1766
Sean Woodward *Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-8783-1039
Shamal Lalvani *Department of Electrical Engineering, Northwestern University, Evanston, IL, United States.ORCID https://orcid.org/0000-0002-2677-8019
Leandros Stefanopoulos *Department of Electrical Engineering, Northwestern University, Evanston, IL, United States.ORCID https://orcid.org/0000-0002-2682-5639
Byoung Woo Kim *Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0001-7612-4833
Nicos Maglaveras *Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-4919-0664
Aggelos K KatsaggelosDepartment of Electrical Engineering, Northwestern University, Evanston, IL, United States.ORCID https://orcid.org/0000-0003-4554-0070
Hans C BreiterDepartment of Computer Science, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-4385-2778
Northwestern University · USUniversity of Cincinnati · USAristotle University of Thessaloniki · GRMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has heightened mental health concerns, but the temporal relationship between mental health conditions and SARS-CoV-2 infection has not yet been investigated. Specifically, psychological issues, violent behaviors, and substance use were reported more during the COVID-19 pandemic than before the pandemic. However, it is unknown whether a prepandemic history of these conditions increases an individual's susceptibility to SARS-CoV-2.

objectiveThis study aimed to better understand the psychological risks underlying COVID-19, as it is important to investigate how destructive and risky behaviors may increase a person's susceptibility to COVID-19.

methodsIn this study, we analyzed data from a survey of 366 adults across the United States (aged 18 to 70 years); this survey was administered between February and March of 2021. The participants were asked to complete the Global Appraisal of Individual Needs-Short Screener (GAIN-SS) questionnaire, which indicates an individual's history of high-risk and destructive behaviors and likelihood of meeting diagnostic criteria. The GAIN-SS includes 7 questions related to externalizing behaviors, 8 related to substance use, and 5 related to crime and violence; responses were given on a temporal scale. The participants were also asked whether they ever tested positive for COVID-19 and whether they ever received a clinical diagnosis of COVID-19. GAIN-SS responses were compared between those who reported and those who did not report COVID-19 to determine if those who reported COVID-19 also reported GAIN-SS behaviors (Wilcoxon rank sum test, α=.05). In total, 3 hypotheses surrounding the temporal relationships between the recency of GAIN-SS behaviors and COVID-19 infection were tested using proportion tests (α=.05). GAIN-SS behaviors that significantly differed (proportion tests, α=.05) between COVID-19 responses were included as independent variables in multivariable logistic regression models with iterative downsampling. This was performed to assess how well a history of GAIN-SS behaviors statistically discriminated between those who reported and those who did not report COVID-19.

resultsThose who reported COVID-19 more frequently indicated past GAIN-SS behaviors (Q<0.05). Furthermore, the proportion of those who reported COVID-19 was higher (Q<0.05) among those who reported a history of GAIN-SS behaviors; specifically, gambling and selling drugs were common across the 3 proportion tests. Multivariable logistic regression revealed that GAIN-SS behaviors, particularly gambling, selling drugs, and attention problems, accurately modeled self-reported COVID-19, with model accuracies ranging from 77.42% to 99.55%. That is, those who exhibited destructive and high-risk behaviors before and during the pandemic could be discriminated from those who did not exhibit these behaviors when modeling self-reported COVID-19.

conclusionsThis preliminary study provides insights into how a history of destructive and risky behaviors influences infection susceptibility, offering possible explanations for why some persons may be more susceptible to COVID-19, potentially in relation to reduced adherence to prevention guidelines or not seeking vaccination.

Indexed as

COVID-19destructive behaviorsgamblingmental healthsubstance useviolent behaviors

Identifiers

PMID36888554
PMCPMC10148215
OpenAlexW4312559233

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.