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

COVID-19 destructive behaviors gambling mental health substance use violent behaviors

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
14 Apr 2023
Historique:
received: 06 07 2022
accepted: 12 12 2022
revised: 09 12 2022
medline: 9 3 2023
pubmed: 9 3 2023
entrez: 8 3 2023
Statut: epublish

Résumé

The 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. This 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. In 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. Those 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. This 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.

Sections du résumé

BACKGROUND BACKGROUND
The 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.
OBJECTIVE OBJECTIVE
This 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.
METHODS METHODS
In 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.
RESULTS RESULTS
Those 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.
CONCLUSIONS CONCLUSIONS
This 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.

Identifiants

pubmed: 36888554
pii: v7i1e40821
doi: 10.2196/40821
pmc: PMC10148215
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e40821

Informations de copyright

©Nicole L Vike, Sumra Bari, Khrystyna Stetsiv, Sean Woodward, Shamal Lalvani, Leandros Stefanopoulos, Byoung Woo Kim, Nicos Maglaveras, Aggelos K Katsaggelos, Hans C Breiter. Originally published in JMIR Formative Research (https://formative.jmir.org), 14.04.2023.

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Auteurs

Nicole L Vike (NL)

Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States.

Sumra Bari (S)

Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States.

Khrystyna Stetsiv (K)

Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States.

Sean Woodward (S)

Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States.

Shamal Lalvani (S)

Department of Electrical Engineering, Northwestern University, Evanston, IL, United States.

Leandros Stefanopoulos (L)

Department of Electrical Engineering, Northwestern University, Evanston, IL, United States.
Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Byoung Woo Kim (BW)

Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States.

Nicos Maglaveras (N)

Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Aggelos K Katsaggelos (AK)

Department of Electrical Engineering, Northwestern University, Evanston, IL, United States.
Department of Computer Science, Northwestern University, Evanston, IL, United States.
Department of Radiology, Northwestern University, Evanston, IL, United States.

Hans C Breiter (HC)

Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States.
Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard School of Medicine, Boston, MA, United States.

Classifications MeSH