Evidence map›Paper›PMID 36525785›Full record

ArticleSocial science & medicine (1982)2023

COVID-related social determinants of substance use disorder among diverse U.S. racial ethnic groups.

Xiangyu Tao, Tingting Liu, Celia B Fisher, Salvatore Giorgi, Brenda Curtis

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  10. Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models.Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media · 2023
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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

5 authors at 2 institutions in 1 country.

Xiangyu TaoDepartment of Psychology, Fordham University, Bronx, NY, United States. Electronic address: xtao16@fordham.edu.
Tingting LiuNational Institutes of Health, National Institute on Drug Abuse, Baltimore, MD, United States; Positive Psychology Center, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: tingting.liu@nih.gov.
Celia B FisherDepartment of Psychology, Fordham University, Bronx, NY, United States; Center for Ethics Education, Fordham University, Bronx, NY, United States. Electronic address: fisher@fordham.edu.
Salvatore GiorgiNational Institutes of Health, National Institute on Drug Abuse, Baltimore, MD, United States; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: sal.giorgi@nih.gov.
Brenda CurtisNational Institutes of Health, National Institute on Drug Abuse, Baltimore, MD, United States. Electronic address: brenda.curtis@nih.gov.
National Institutes of Health · USFordham University · US

Funding

Digital Markers in Relapse and RecoveryZIADA000628 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI CURTIS, BRENDA · 2019 to 2025
$10.0M
Changes in Substance Use Following COVID-19: Harnessing Digital PhenotypingZIADA000632 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI CURTIS, BRENDA · 2020 to 2022
$1.3M
Intramural NIH HHS ZIA DA000632
6 · The paper itself

Abstract

objectiveBlack, Asian, and Hispanic/Latino people are disproportionately impacted by the COVID-19 pandemic and were more likely to experience coronavirus-related racial discrimination. This study examined the association between pandemic-related stressors, including employment and housing disruptions, coronavirus-related victimization distress, and perceptions of pandemic-associated increase in societal racial biases, and substance use disorder (SUD) risk among Asian, Black, Hispanic/Latino, and non-Hispanic White adults in the U.S.

methodsData were collected as part of a larger national survey on substance use during the pandemic. Eligible participants for the current study were 1336 adults self-identified as Asian (8.53%), Black (10.55%), Hispanic/Latino (10.93%), and non-Hispanic White (69.99%). Measures included demographic and COVID-19-related employment, housing, and health items, the coronavirus victimization distress scale (CVD), the coronavirus racial bias scale (CRB), and measures of substance use risk.

resultsAcross racial/ethnic groups, employment disruption distress and housing disruption due to the pandemic were associated with SUD risk. Binary logistic regression analyses controlling for demographic variables indicated CVD was associated with higher odds of tobacco use risk (AOR = 1.36, 95% CI [1.01, 1.81]) and polysubstance use risk (AOR = 1.87, 95% CI [1.14, 3.06]), yet CRB was unrelated to any SUDs. Logistic regressions for each racial/ethnic group found different patterns of relationships between stressors and risk for SUDs.

conclusionsResults highlight the significance of examining how the current pandemic has exacerbated racial/ethnic systemic inequalities through COVID-19 related victimization. The data also suggest that across all racial/ethnic groups employment and housing disruptions and perceptions of pandemic instigated increases in societal racial bias are risk factors for SUD. The study calls for further empirical research on substance use prevention and intervention practice sensitive to specific needs of diverse populations during the current and future health crises.

Indexed as

Cardiovascular DiseasesCOVID-19Substance-Related DisordersAdultEthnicityHispanic or LatinoHumansPandemicsSocial Determinants of HealthUnited StatesCOVID-19NIDA-ASSISTRacial biasSubstance useVictimization distress

Identifiers

PMID36525785
PMCPMC9721390
OpenAlexW4310716320

What OpenQuestion holds

Textmetadata
LicenceTDM
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.