Evidence map›Paper›PMID 41310668›Full record

ArticleBMC medicine2025

Age, cumulative psychosocial risk factors, and health disparities in U.S. adult cigarette smoking: 2002-2019.

Fang Fang Chen, Elias M Klemperer, Tyler G Erath, Michael DeSarno, Adam M Leventhal, Stephen T Higgins

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Smoking promotes colorectal cancer via the CKAP2L/AREG axis.International journal of oncology · 2026
    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

6 authors.

Fang Fang ChenVermont Center On Behavior and Health, University of Vermont, Burlington, VT, USA. Fang-Fang.Chen@uvm.edu.
Elias M KlempererVermont Center On Behavior and Health, University of Vermont, Burlington, VT, USA.
Tyler G ErathVermont Center On Behavior and Health, University of Vermont, Burlington, VT, USA.
Michael DeSarnoVermont Center On Behavior and Health, University of Vermont, Burlington, VT, USA.
Adam M LeventhalMedical Biostatistics, University of Vermont, Burlington, VT, USA.
Stephen T HigginsVermont Center On Behavior and Health, University of Vermont, Burlington, VT, USA.

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2022
$21.3M
University of Vermont Tobacco Center of Regulatory ScienceU54DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2018 to 2022
$19.4M
Vermont Center on Behavior and HealthP30GM149331 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Stephen T Higgins · 2023 to 2026
$5.6M
Using Implementation Science to Advance Evidence-Based Treatment for Stimulant Use K01DA060309 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Tyler George Erath · 2025 to 2026
$405k
NIDA NIH HHS K01 DA060309NIDA NIH HHS U54 DA036114NIGMS NIH HHS P20 GM103644NIGMS NIH HHS P30 GM149331
6 · The paper itself

Abstract

backgroundUnderstanding psychosocial factors that underpin smoking disparities is important for developing targeted interventions to reduce tobacco use and its associated adverse health consequences. This study investigated associations between cumulative psychosocial risks, age, and the interplay of these two factors in U.S. smoking disparities over time.

methodsParticipants included adults aged ≥ 18 years in the 2002-2019 US National Survey on Drug Use and Health. Psychosocial factors were combined into a cumulative-risk index with four levels: No-, Low-, Moderate-, and High-risk. Logistic regression analyses tested whether smoking prevalence varied by risk level and age over time.

resultsGreater cumulative risk was associated with higher smoking prevalence. Using No-risk group prevalence (4.2%) as the comparator, smoking prevalence was greatest in the High-risk group (50.8%; OR = 20.9 [95% CI, 19.8-22.0]), followed by the Mod-risk group (29.7%; OR = 5.8 [5.6-5.9]), and low-risk group (15.2%; OR = 2.4 [95% CI, 2.4-2.5]). Importantly, these disparities persisted over time. Smoking prevalence declined across time in all age groups under age 65 and the rate of decline decreased with age: Age 18-25 showed the greatest decline (34.4% to 13.7%; OR = .88 [95% CI, .88-.88]), followed by age 35-49 (29.4% to 20.8%; OR = .95 [.94-.95]), age 26-34 (30.2% to 22.4%; OR = .95 [.94-.95]), and Age 50-64 showed the slowest decline trend (21.3% to 18.8%; OR = .96 [95% CI, .96-.97]). No significant decline over time for age 65 + years was observed (10.4% to 8.7%; OR = 1.00 [.98-1.01]). There was a significant association of risk level and age in changes of smoking prevalence over time. For ages 18-25 and 35-49, smoking prevalence declined over time across all risk levels. For Ages 26-34, smoking prevalence decreased between 2012 and 2019 across all risk levels but not during 2002-2011. However, for ages 50-64 and 65 + , smoking prevalence was stable for all risk levels between 2002 and 2019.

conclusionsDespite overall declines in smoking prevalence, disparities by cumulative risk levels and age remained steady and substantial over nearly two decades. Including consideration of smoking disparities by cumulative risk levels and age may enhance the development of more targeted and effective interventions to reduce smoking prevalence.

Indexed as

Cigarette SmokingHealth Status DisparitiesAdolescentAdultAgedAge FactorsFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsUnited StatesYoung AdultAgeCumulative psychosocial risksHealth disparitiesHealth inequitiesSmoking prevalence

Identifiers

PMID41310668
PMCPMC12661708

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.