Evidence map›Paper›PMID 41312192›Full record

ArticleAddictive behaviors reports2025

Compounding risks of chronic health conditions and substance use disorder on healthcare burden in the USA: Analysis of NSDUH data (2021-2023).

Ayodeji Iyanda, Richard Adeleke, Omowunmi Iyanda

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Ayodeji IyandaDivision of Social Work, Prairie View A&M University, Texas, USA.
Richard AdelekeDepartment of Geography and Environmental Management, University of Waterloo, Waterloo, Canada.
Omowunmi IyandaDepartment of Social Work, Prairie View A&M University, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emergency room (ER) use reflects acute healthcare burden, but the roles of chronic health conditions (CHCs), substance use disorders (SUDs), drug use disorders (DUDs), and mental health conditions (MHCs) remain underexplored across populations. Methods: Using nationally representative survey data (N = 226,838; weighted = 1,243,120,763), we applied survey-weighted logistic regression to examine predictors of ER visits. Covariates included CHCs, SUDs, DUDs, severity levels of these orders, MHCs, race/ethnicity, education, employment, residence, and body mass index. Results: Adults with ≥ 1 CHC were more likely to visit the ER (OR = 1.72; 95 % CI: 1.60-1.85). DUD significantly increased ER use (OR = 1.70; 95 % CI: 1.54-1.88), while overall SUD was not significant after adjustment (OR = 1.05; 95 % CI: 0.98-1.12). Severe SUD elevated ER use even without CHCs (OR = 1.89; 95 % CI: 1.67-2.13). African Americans had higher odds of ER visits (OR = 1.28; 95 % CI: 1.21-1.36), and Native American/Alaska Natives were more likely to report DUD (OR = 1.55; 95 % CI: 1.31-1.82). Lower educational attainment (OR = 1.22; 95 % CI: 1.16-1.28) and unemployment (OR = 1.34; 95 % CI: 1.25-1.43) were linked to higher risks. MHCs predicted ER use (OR = 1.63; 95 % CI: 1.53-1.74) and substance-related disorders. Conclusions: CHCs, DUD severity, and MHCs are strong predictors of ER utilization. Disparities among African Americans and Native American/Alaska Natives highlight the need for integrated care addressing chronic illness, behavioral health, and substance use-particularly for socioeconomically and racially marginalized groups.

Indexed as

Chronic Health ConditionsComorbidityEmergency Room VisitsHealthcare UtilizationSubstance Use Disorder

Identifiers

PMID41312192
PMCPMC12648482

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.