Evidence map›Paper›PMID 42483418›Full record

ArticleTobacco prevention & cessation2026

Socioeconomic characteristics, tobacco use, and service utilization by county poverty status among Oklahoma tobacco helpline registrants: A cross

Gaurav Kumar, Laura A Beebe, Motolani E Ogunsanya, Mark P Doescher, Ryan Nipp, Nirmal Choradia, Laili K Boozary, Nathalia M Machado, Darla E Kendzor

Abstract read
In one paragraph

Article in Tobacco prevention & cessation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Gaurav KumarTSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health CampusOklahoma CityUnited States.
Laura A BeebeDepartment of Biostatistics and EpidemiologyHudson College of Public Health, The University of Oklahoma Health CampusOklahoma CityUnited States.
Motolani E OgunsanyaTSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health CampusOklahoma CityUnited States.
Mark P DoescherDepartment of Family and Preventive MedicineThe University of Oklahoma Health CampusOklahoma CityUnited States.
Ryan NippDepartment of Internal Medicine, Section of Hematology/OncologyStephenson Cancer Center, The University of Oklahoma Health CampusOklahoma CityUnited States.
Nirmal ChoradiaDepartment of Internal Medicine, Section of Hematology/OncologyStephenson Cancer Center, The University of Oklahoma Health CampusOklahoma CityUnited States.
Laili K BoozaryTSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health CampusOklahoma CityUnited States.
Nathalia M MachadoTSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health CampusOklahoma CityUnited States.
Darla E KendzorTSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health CampusOklahoma CityUnited States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Residents of counties with higher poverty levels experience elevated smoking rates and disproportionate tobacco-related cancer mortality. This study examined differences in sociodemographic characteristics, tobacco use, and service utilization among Oklahoma Tobacco Helpline (OTH) registrants across county poverty designations. Methods: In this cross-sectional study, data were analyzed from 33847 adults registered with the OTH between 1 July 2023 and 30 June 2024. Counties were classified as persistent poverty (PPC: ≥20% of residents in poverty for ≥30 years), current poverty (CPC: ≥20% of residents in poverty currently for <30 years), or non-poverty (NPC: <20% of residents in poverty). Group differences were examined using the chi-squared test and analysis of variance. Adjusted multinomial logistic regression analyses evaluated associations between poverty status, tobacco use, and service utilization, controlling for age, sex/gender, race, education level, household income, health insurance, and chronic conditions. Results: Registrants residing in PPCs and CPCs differed from those in NPCs in terms of age and race, and they had lower education, income, and greater Medicaid coverage (all P<0.05). In adjusted models, PPC registrants had higher odds of smoking >1 pack/day (heavy smoking) (AOR=1.49; 95% CI: 1.30-1.70; p<0.001) and learning about OTH through personal networks (AOR=1.42; 95% CI: 1.16-1.73; p<0.001) compared with NPCs. Compared with registrants residing in non-poverty counties (NPCs), CPC registrants had higher odds of smoking >1 pack/day (AOR=1.39; 95% CI: 1.16-1.65; p<0.001) and learning about OTH through community/social organizations (AOR=1.77; 95% CI: 1.33-2.35; p<0.001). Service type and nicotine replacement therapy receipt/duration were similar across poverty designations. Conclusions: PPC and CPC registrants showed greater socioeconomic disadvantage and nicotine dependence than NPC registrants but had distinct information pathways. These findings highlight geographically concentrated poverty as a potential contributor to tobacco-related disparities and suggest that interventions addressing social and environmental conditions in PPCs may help enhance cessation engagement and reduce tobacco-related inequities.

Indexed as

persistent povertypovertysmoking cessationtobacco helplinetobacco use

Identifiers

PMID42483418
PMCPMC13386057

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.