Evidence map›Paper›PMID 34831619›Full record

ArticleInternational journal of environmental research and public health2021

Traditional Cigarette and Poly-Tobacco Use Are Associated with Medical Opioid Use in Rural Areas of the US.

Mariaelena Gonzalez, Ashley Sanders-Jackson

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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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

2 authors at 2 institutions in 1 country.

Mariaelena GonzalezDepartment of Public Health, School of Social Sciences Humanities and the Arts, University of California Merced, Merced, CA 95343, USA.
Ashley Sanders-JacksonDepartment of Advertising and Public Relations, College of Communications Arts and Sciences, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-9584-7172
Michigan State University · USUniversity of California, Merced · US

Funding

METAL IONS AND INFORMATION TRANSFER--MECHANISM OF RNA SYNTHESISZ01AG000044 · NIA · AGING · PI EICHHORN, G · 1985 to 1996
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6 · The paper itself

Abstract

introductionMedical prescriptions for opioids are higher in rural areas of the US as compared to urban areas. Tobacco use may also play a role in this process. This analysis examines the association between differing types of tobacco use and medical opioid use.

methodsWe analyze the relationship between tobacco product use and medical opioid use among the US general population living in rural (non-metropolitan) areas using the publicly available sample adult file 2019 National Health Interview Survey (NHIS) (

resultsIndividuals who reported using only traditional cigarettes (and no other tobacco product, OR = 1.62, 95% CI: 1.31, 2.01), or who reported being a poly-tobacco users (OR = 2.13, 95% CI: 1.40, 3.22) had higher odds of medical opioid use in the last twelve months.

conclusionResults suggest a link between tobacco use, particularly cigarette use and poly-tobacco use, and medical opioid use in rural communities. Clinical and structural level interventions need to be implemented in rural communities to reduce comorbid tobacco and opioid use.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsAdultAnalgesics, OpioidCross-Sectional StudiesHumansTobacco UseUnited StatesAnalgesics, Opioidopioidsrural populationssmokingtobacco use

Identifiers

PMID34831619
PMCPMC8619274
OpenAlexW3211967060

What OpenQuestion holds

Textmetadata
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.