Evidence map›Paper›PMID 35994174›Full record

ArticleJournal of racial and ethnic health disparities2023

Race, Concern About COVID-19 Discrimination, and Cigarette Smoking Behavior: Comparison Between US Asian and White Adults Who Use Commercial Tobacco.

Tina Liu, Lilianna Phan, Julia Chen-Sankey, Aniruddh Ajith, Kiana Hacker, Bambi Jewett, Kelvin Choi

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Tina LiuDepartment of Stem Cell and Regenerative Biology, Harvard College, Cambridge, MA, USA.
Lilianna PhanNational Institute on Minority Health and Health Disparities Division of Intramural Research, 9000 Rockville Pike, MD, 20892, Bethesda, USA. Lilianna.phan@nih.gov.ORCID 0000-0003-4583-2911
Julia Chen-SankeyCenter for Tobacco Studies, Rutgers Biomedical and Health Sciences, Newark, NJ, USA.
Aniruddh AjithUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Kiana HackerNational Institute on Minority Health and Health Disparities Division of Intramural Research, 9000 Rockville Pike, MD, 20892, Bethesda, USA.
Bambi JewettNational Institute on Minority Health and Health Disparities Division of Intramural Research, 9000 Rockville Pike, MD, 20892, Bethesda, USA.
Kelvin ChoiNational Institute on Minority Health and Health Disparities Division of Intramural Research, 9000 Rockville Pike, MD, 20892, Bethesda, USA.
National Institute on Minority Health and Health Disparities · USRutgers, The State University of New Jersey · USUniversity of Pittsburgh · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
Tobacco Industry Marketing CoreU54CA229973 · NCI · UNIVERSITY OF PENNSYLVANIA · PI WACKOWSKI, OLIVIA · 2018 to 2022
$18.8M
Understanding and reducing tobacco-related health disparities through social and behavioral researchZIAMD000006 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI CHOI, KELVIN · 2015 to 2025
$7.0M
Understanding the Influence of E-cigarette Advertisement FeaturesR00CA242589 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI CHEN-SANKEY, JULIA CEN · 2021 to 2024
$842k
NCI NIH HHS P30 CA072720NCI NIH HHS R00 CA242589NCI NIH HHS U54 CA229973
6 · The paper itself

Abstract

Anti-Asian discrimination incidents in the USA have resurged during the COVID-19 pandemic. It is unclear how concern about being discriminatorily treated due to the COVID-19 pandemic varies between Asian and Asian American (A&AsA) and White adults. We examined A&AsA vs. White differences in concern about COVID-19 discrimination and associations of this concern with changes in cigarette smoking behaviors before and during the pandemic. Data were from a US representative sample of A&AsA and White adults (≥ 21 years) who currently and formerly used commercial tobacco (n = 1052), collected through an online panel oversampling A&AsA adults in January-February 2021. Participants reported their concern, worry, and stress about COVID-19 discrimination and past-30-day cigarette consumption before and during the pandemic. We examined the association between race and overall concern about COVID-19 discrimination, and this concern's associations with changes in past-30-day cigarette smoking consumption, smoking continuation, and return to smoking using weighted multivariable logistic and linear regression models. Overall concern about COVID-19 discrimination was higher (adjusted mean = 1.7, standard error = 0.16) among A&AsA adults who currently and formerly used commercial tobacco than their White counterparts (adjusted mean = 0.60, standard error = 0.04; p < 0.01). Overall concern about COVID-19 discrimination was associated with increased past-30-day cigarette consumption by 26.5 cigarettes (95% confidence interval [CI] = 1.2-51.9) and 4.4 times (95% CI = 2.3-8.5) greater odds of return to smoking among adults who smoke cigarettes. A&AsA adults who currently and formerly used commercial tobacco disproportionately bore higher concern about COVID-19 discrimination, and in turn could lead to increased smoking behavior and related morbidity and mortality among A&AsA adults.

Indexed as

AsianCigarette SmokingCOVID-19RacismWhiteAdultHumansNicotianaPandemicsUnited StatesAsianAsian AmericanCOVIDDiscriminationSmokingTobacco

Identifiers

PMID35994174
PMCPMC9395842
OpenAlexW4292622661

What OpenQuestion holds

Textmetadata
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.