Evidence map›Paper›PMID 35436698›Full record

ArticleAddictive behaviors2022

The effect of race/ethnicity and adversities on smoking cessation among U.S. adult smokers.

Jaqueline C Avila, Alexander W Sokolovsky, Nicole L Nollen, Juhan Lee, Christopher H Schmid, Jasjit S Ahluwalia

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Exploring Gender Differences in Receipt of the 5As for Smoking Cessation for Recently Diagnosed Cancer Patients (ECOG-ACRIN EAQ171CD).Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 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

6 authors at 3 institutions in 1 country.

Jaqueline C AvilaDepartment of Behavioral and Social Sciences and Center for Alcohol and Addiction Studies, School of Public Health, Brown University, United States. Electronic address: jaqueline_avila@brown.edu.
Alexander W SokolovskyDepartment of Behavioral and Social Sciences and Center for Alcohol and Addiction Studies, School of Public Health, Brown University, United States.
Nicole L NollenDepartment of Population Health, School of Medicine, University of Kansas Medical Center, United States.
Juhan LeeDepartment of Psychiatry, School of Medicine, Yale University, United States.
Christopher H SchmidDepartment of Biostatistics, School of Public Health, Brown University, United States.
Jasjit S AhluwaliaDepartment of Behavioral and Social Sciences and Center for Alcohol and Addiction Studies, School of Public Health, Brown University, United States; Department of Medicine, Alpert School of Medicine, Brown University, United States.
John Brown University · USUniversity of Kansas Medical Center · USYale University · US

Funding

Using wearables and EMA to examine the links between cannabis and depressionP20GM130414 · NIGMS · BROWN UNIVERSITY · PI Tyler Blake Wray · 2019 to 2026
$22.0M
Dual Use of ENDS and Combustible Cigarettes: Shared, Distinct, and Cross-Conditioned ProcessesK08DA048137 · NIDA · BROWN UNIVERSITY · PI SOKOLOVSKY, ALEXANDER WILLIAM · 2020 to 2024
$976k
NIDA NIH HHS K08 DA048137NIGMS NIH HHS P20 GM130414
6 · The paper itself

Abstract

introductionBlack and Hispanic individuals in the US experience more socioeconomic adversities that are associated with disparities in tobacco use and cessation than White individuals. This study examined if racial/ethnic differences in smoking abstinence were mediated by socioeconomic (SES) adversities.

methodsData from 7,101 established smokers were identified in Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) and followed to Wave 4 (2016-2018). The study outcome was cigarette abstinence at Wave 4. The main independent variable was race/ethnicity (Non-Hispanic White [White], Non-Hispanic Black [Black] and Hispanic). The mediators were five measures of SES adversities (unemployment, poverty, difficulty with money, lower education level, lack of health insurance). A weighted Generalized Structural Equation Model (GSEM) was used to estimate the total, direct, and indirect effect of race/ethnicity on the odds of quitting mediated by the five SES adversities. This model was adjusted by study covariates, including health and smoking characteristics.

resultsThe indirect effect of race/ethnicity on cessation showed that differences in quitting between Black and White individuals as well as Hispanic and White individuals were mediated by SES adversities. However, the differences in quitting between Hispanic and Black individuals were not mediated by SES adversities. Black and Hispanic individuals were less likely to quit than White individuals, but Hispanic individuals were more likely to quit than Black individuals. There were no direct effects between Black or Hispanic individuals compared to White individuals. Those with higher SES were more likely to quit compared to those with lower SES. DISCUSSION: Smoking abstinence is higher in White individuals compared to Black and Hispanic individuals and is mediated by SES adversities. However, smoking abstinence is higher among Hispanic individuals compared to Black individuals and it is not mediated by SES adversities. Future studies should consider the role of other factors, such as psychosocial support, racism, discrimination, and stress over the life course in explaining differences in smoking abstinence between Black and Hispanic individuals.

Indexed as

Smoking CessationAdultEthnicityHispanic or LatinoHumansSmokersSmokingEpidemiologyHealth DisparitiesPopulation Assessment of Tobacco and HealthSmoking Cessation

Identifiers

PMID35436698
PMCPMC9870094
OpenAlexW4224224661

What OpenQuestion holds

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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.