Evidence map›Paper›PMID 29126121›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2018

The Relationship Between Neighborhood Disorder and Barriers to Cessation in a Sample of Impoverished Inner-City Smokers in Baltimore, Maryland, United States.

Carl A Latkin, Ryan D Kennedy, Melissa A Davey-Rothwell, Tuo-Yen Tseng, Lauren Czaplicki, Anirudh Baddela, Catie Edwards, Geetanjali Chander, Meghan B Moran, Amy R Knowlton

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 7 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

10 authors at 1 institution in 1 country.

Carl A LatkinDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Ryan D KennedyDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Melissa A Davey-RothwellDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Tuo-Yen TsengDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Lauren CzaplickiDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Anirudh BaddelaDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Catie EdwardsDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Geetanjali ChanderDivision of Infectious diseases, Johns Hopkins School of Medicine, Baltimore, MD.
Meghan B MoranDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Amy R KnowltonDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins University · US

Funding

INSTITUTIONAL RESEARCH CANCER EPIDEMIOLOGY FELLOWSHIPT32CA009314 · NCI · JOHNS HOPKINS UNIVERSITY · PI Corinne E. Joshu, Meghan Bridgid Moran · 1985 to 2026
$11.2M
NCI NIH HHS T32 CA009314
6 · The paper itself

Abstract

Introduction: Economic disparities in rates of smoking have been well documented in many countries. These disparities exist on an individual and geographic or neighborhood level. This cross-sectional study examined the relationship between neighborhood physical and social disorder and barriers to smoking cessation among an impoverished urban sample. Methods: A sample of current smokers were recruited through street outreach, posted advertisements, and word of mouth from impoverished neighborhoods in Baltimore, Maryland, USA for a study of psychosocial factors and smoking behaviors. Neighborhood disorder was assessed with a 10-item scale from the Block Environmental Inventory and barriers to cessation with a 9-item scale. Results: In the multiple logistic regression model, perceived stress (aOR = 1.60, 95% CI = 1.32 to 1.95), neighborhood disorder (aOR= 1.34, 95% CI = 1.11 to 1.63), and level of nicotine dependence (aOR = 1.97), 95% CI = 1.62 to 2.40) were all strongly associated with barriers to cessation. Conclusion: The results of this study suggest that neighborhood disorder may lead to barriers to cessation among low-income populations. The findings also indicate that tobacco control interventions should examine and address social and physical aspects of impoverished neighborhoods. Implications: In many countries, tobacco control programs and policies have been less effective among low-income populations as compared to more affluent populations. Little is known about how neighborhood factors influence smoking cessation. This study examined the relationship between neighborhood disorder and barriers to cessation among a low-income population. We recruited a convenience sample of hard-to-reach cigarette smokers from low-income neighborhoods. Even after controlling for level of nicotine dependence and stress, neighborhood disorder was found to be associated with barriers to cessation. The findings suggest the important role of neighborhood disorder as a barrier to smoking cessation.

Indexed as

Residence CharacteristicsSmokersAdultBaltimoreCross-Sectional StudiesFemaleHealth BehaviorHumansMaleMiddle AgedPovertySmokingSmoking CessationSocial EnvironmentUnited States

Identifiers

PMID29126121
PMCPMC6236076
OpenAlexW2767518508

What OpenQuestion holds

Textmetadata
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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.