Evidence map›Paper›PMID 33530976›Full record

ArticleBMC public health2021

Persistent disparities in smoking among rural Appalachians: evidence from the Mountain Air Project.

Kathryn Cardarelli, Susan Westneat, Madeline Dunfee, Beverly May, Nancy Schoenberg, Steven Browning

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Demographic factors and rural residence history associated with smoking history.Journal of the American Association of Nurse Practitioners · 2026
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  9. Tobacco retailer density and rurality across four US states: California, Connecticut, North Carolina, and Ohio.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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  13. Identifying risk factors for adverse lung health outcomes among rural Appalachian women.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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  17. Unveiling rural and Appalachian disparities in cigarette smoking through the social vulnerability index and other county-level characteristics.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 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.

Kathryn CardarelliCollege of Public Health, University of Kentucky, Lexington, KY, USA. kathryn.cardarelli@uky.edu.ORCID 0000-0001-6695-7671
Susan WestneatCollege of Public Health, University of Kentucky, Lexington, KY, USA.
Madeline DunfeeCollege of Public Health, University of Kentucky, Lexington, KY, USA.
Beverly MayCollege of Public Health, University of Kentucky, Lexington, KY, USA.
Nancy SchoenbergCenter for Health Equity Transformation, University of Kentucky, Lexington, KY, USA.
Steven BrowningCollege of Public Health, University of Kentucky, Lexington, KY, USA.

Funding

NRSA Training CoreTL1TR001997 · NCATS · UNIVERSITY OF KENTUCKY · PI PENDERGAST, JULIE S, STOOPS, WILLIAM WALTON · 2016 to 2025
$4.2M
Community-Engaged Research and Action to Reduce Respiratory Disease in AppalachiaR01ES024771 · NIEHS · UNIVERSITY OF KENTUCKY · PI BROWNING, STEVEN R, SCHOENBERG, NANCY E. · 2015 to 2019
$2.5M
NCATS NIH HHS TL1 TR001997NIEHS NIH HHS R01 ES024771
6 · The paper itself

Abstract

backgroundAdult smoking prevalence in Central Appalachia is the highest in the United States, yet few epidemiologic studies describe the smoking behaviors of this population. Using a community-based approach, the Mountain Air Project (MAP) recruited the largest adult cohort from Central Appalachia, allowing us to examine prevalence and patterns of smoking behavior.

methodsA cross-sectional epidemiologic study of 972 participants aged 21 years and older was undertaken 2015-2017, with a response rate of 82%. Prevalence ratios and 95% confidence intervals for current smoking (compared to nonsmokers) were computed for the entire cohort then stratified by multiple characteristics, including respiratory health. Adjusted prevalence ratios for current smoking versus not smoking were also computed.

resultsMAP participants reported current smoking prevalence (33%) more than double the national adult smoking prevalence. Current smoking among participants with a reported diagnosis of chronic obstructive pulmonary disease and emphysema was 51.5 and 53.3%, respectively. Compared to participants age 65 years and older, those age 45 years or younger reported double the prevalence of smoking (PR: 2.04, 95% CI: 1.51-2.74). Adjusted analyses identified younger age, lower education, unmet financial need, and depression to be significantly associated with current smoking.

conclusionsDespite declining rates of smoking across the United States, smoking remains a persistent challenge in Central Appalachia, which continues to face marked disparities in education funding and tobacco control policies that have benefitted much of the rest of the nation. Compared with national data, our cohort demonstrated higher rates of smoking among younger populations and reported a greater intensity of cigarette use.

Indexed as

SmokingTobacco SmokingAdultAgedAppalachian RegionCross-Sectional StudiesHumansMiddle AgedPrevalenceSocioeconomic FactorsUnited StatesYoung AdultAppalachiaDisparitiesHealth inequitiesRespiratory healthRural healthSmokingTobacco

Identifiers

PMID33530976
PMCPMC7856720

What OpenQuestion holds

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LicenceCC BY
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.