Evidence map›Paper›PMID 34305505›Full record

ArticleTobacco induced diseases2021

Factors associated with smoking in low-income persons with and without chronic illness.

Monique T Cano, David L Pennington, Sara Reyes, Blanca S Pineda, Jazmin A Llamas, Vyjeyanthi S Periyakoil, Ricardo F Muñoz

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2021. 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
–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

7 citing papers in PubMed.

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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.

Monique T CanoDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, United States.
David L PenningtonDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, United States.
Sara ReyesDepartment of Psychology, University of Nebraska-Lincoln, Lincoln, United States.
Blanca S PinedaInstitute for International Internet Interventions for Health, Palo Alto University, Palo Alto, United States.
Jazmin A LlamasInstitute for International Internet Interventions for Health, Palo Alto University, Palo Alto, United States.
Vyjeyanthi S PeriyakoilStanford University School of Medicine, Stanford University, Palo Alto, United States.
Ricardo F MuñozDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, United States.

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI Lisa Goldman Rosas · 2020 to 2026
$29.0M
Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI PERIYAKOIL, VYJEYANTHI S, YESAVAGE, JEROME A · 2018 to 2025
$4.9M
Palliative care needs and outcomes for dementia patientsR01AG062239 · NIA · STANFORD UNIVERSITY · PI PERIYAKOIL, VYJEYANTHI S · 2018 to 2023
$3.7M
Neuropsychobiology in Polysubstance Abusers during AbstinenceR01DA039903 · NIDA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI PENNINGTON, DAVID L · 2016 to 2021
$2.8M
CSRD VA IK2 CX001510NIA NIH HHS P30 AG059307NIA NIH HHS P30 AG066515NIA NIH HHS R01 AG062239NIDA NIH HHS R01 DA039903
6 · The paper itself

Abstract

introductionTobacco disparities persist among low-income smokers who seek care from safety-net clinics. Many of these patients suffer from chronic illnesses (CILs) that are associated with and exacerbated by smoking. The objective of the current study was to examine the differences between safety-net patients with and without CILs in terms of nicotine dependence and related factors (such as depression, anxiety) and self-efficacy regarding ability to abstain from smoking.

methodsSixty-four low-income smokers who thought about or intended to quit smoking were recruited from the San Francisco Health Network (SFHN) and assessed for CILs, nicotine dependence, depression, anxiety, and smoking abstinence self-efficacy. Four one-way analyses of variance were used to examine the difference between those with and without CIL on the latter four variables.

resultsThe CIL group had significantly higher anxiety (CIL: 8.0 ± 5.35; non-CIL: 4.44 ± 3.48; p=0.02) and tended to have higher nicotine dependence (CIL: 5.40 ± 2.58; non-CIL: 3.88 ± 2.28; p=0.04). In the CIL group, nicotine dependence was positively correlated with anxiety [r(62)=0.39; p<0.01] and negatively correlated with smoking abstinence self-efficacy [r(62)= -0.38; p<0.01]. Both depression (Spearman's rho=0.39; p<0.01) and anxiety (Spearman's rho=0.29; p<0.05) were associated with total number of CIL categories.

conclusionsSafety-net patients who smoke and suffer from CILs may be suffering from higher levels of anxiety and have less confidence in their ability to quit smoking. Incorporating mood management and developing interventions that increase a sense of self-efficacy for refraining from smoking may be necessary to help low-income smokers quit smoking.

Indexed as

health consequenceshealth disparitiesmental healthtobacco-related disease

Identifiers

PMID34305505
PMCPMC8280622

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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.