Evidence map›Paper›PMID 31069035›Full record

ArticleAddiction & health2018

Socioeconomic Disparities and Self-reported Substance Abuse-related Problems.

Kesha Baptiste-Roberts, Mian Hossain

Abstract read
In one paragraph

Article in Addiction & health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

37 citing papers in PubMed, 60 citations in OpenAlex.

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  15. Occupational health equity: a call to consider social-structural factors in injury prevention research.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
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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

2 authors at 1 institution in 1 country.

Kesha Baptiste-RobertsAssistant Professor, Department of Public Health Analysis, School of Community Health and Policy, Morgan State University, Baltimore, Maryland, USA.
Mian HossainProfessor, Department of Public Health Analysis, School of Community Health and Policy, Morgan State University, Baltimore, Maryland, USA.
Morgan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is not well understood whether the self-reported experience of substance abuse-related problems differs by socioeconomic status.

methodsWe conducted a secondary analysis using the 2013 National Survey on Drug Use and Health (NSDUH) on participants who reported ever using illicit drugs or used illicit drugs in the past year.

findingsAmong those reporting ever using illicit drugs (n = 4701), 71% were Non-Hispanic White, 37% had a family income ≥ $75000, and 3% reported having substance abuse-related problems in the past year. After adjustment for age, race, marital status, and education, individuals in the lowest income group were more likely to report having problems related to their substance abuse compared to individuals in the highest income group [odds ratio (OR) = 1.36, 95% confidence interval (CI): 1.08-1.72] among those who reported ever using illicit drugs. There was no evidence of interaction with race or gender.

conclusionOur findings suggest that poverty may be associated with self-identification of substance abuse-related problems among those who report ever using illicit drugs. Appropriate intervention should be targeted toward the low-income group to address identified substance abuse-related problems.

Indexed as

Health status disparitiesSocioeconomic statusSubstance-related disorders

Identifiers

PMID31069035
PMCPMC6494986
OpenAlexW2904670060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.