Evidence map›Paper›PMID 42564820›Full record

ArticleAJPM focus2026

Tobacco Use by Urbanization Level Among U.S. Adults, 2024.

Juhan Lee, Maria A Parker

Abstract read
In one paragraph

Article in AJPM focus, 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

2 authors.

Juhan LeeDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.
Maria A ParkerDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of this study was to examine rural-urban differences in the current use of tobacco products among U.S. adults using 2024 National Health Interview Survey data and the updated 2023 National Center for Health Statistics urban-rural classification scheme. Methods: This study analyzed data from U.S. adults aged ≥18 years in the 2024 National Health Interview Survey (N=32,629). Weighted logistic regression models estimated the associations between rurality and the current use of any tobacco, cigarettes, E-cigarettes, cigars, and smokeless tobacco. A Poisson regression model assessed the number of tobacco products used, with a sensitivity analysis among adults with any tobacco use. The models adjusted for age; sex; race and ethnicity; sexual identity; region; family income-to-poverty ratio; past-year alcohol use; and, in sensitivity analyses, chronic and psychiatric conditions. Results: Rural residents had higher adjusted odds of current use of any tobacco (AOR=1.42; 95% CI=1.29, 1.56), cigarettes (AOR=1.31; 95% CI=1.17, 1.48), and smokeless tobacco (AOR=2.28; 95% CI=1.85, 2.80) than urban residents. Cigar use did not differ by urbanization level, and the association for E-cigarette use did not meet the multiple-comparison threshold. Rural residence was associated with a higher number of tobacco products used overall (adjusted prevalence rate=1.28; 95% CI=1.19, 1.39), but among adults who used any tobacco product, urbanization level was not associated with the number of products used. Among adults who used smokeless tobacco, rural residents had higher odds of daily use than urban residents (AOR=1.82; 95% CI= 1.26, 2.64). Conclusions: In 2024, rural-urban disparities in tobacco use among U.S. adults remained concentrated in cigarettes and smokeless tobacco, supporting a focus on these products in rural surveillance, prevention, and cessation efforts.

Indexed as

epidemiologynicotinerural healthTobacco

Identifiers

PMID42564820
PMCPMC13445193

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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.