Evidence map›Paper›PMID 33155051›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2021

Secondhand Smoke Exposure at Home and/or in a Vehicle: Differences Between Urban and Non-Urban Adolescents in the United States, From 2015 to 2018.

Dale S Mantey, Onyinye Omega-Njemnobi, Cristina S Barroso

Open access · greenAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

9 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. In-Vehicle Tobacco Smoke Exposure: A Narrative Review of the Literature.International journal of environmental research and public health · 2025
    Review
  4. Article
  5. Home environment and cigarette quitting behaviors among rural Black/African American women caregivers.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2025
    Article
  6. Article
  7. Home Smoke-Free Policies as Children Age: Urban, Rural, and Suburban Differences.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  8. Review
  9. Rural and urban differences in perceptions, behaviors, and health care disruptions during the COVID-19 pandemic.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
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

3 authors at 2 institutions in 1 country.

Dale S ManteyUniversity of Texas School of Public Health, Austin, TX, USA.
Onyinye Omega-NjemnobiUniversity of Texas School of Public Health, Austin, TX, USA.
Cristina S BarrosoUniversity of Tennessee, College of Education, Health, and Human Sciences, Knoxville, TN, USA.
The University of Texas at Austin · USUniversity of Tennessee at Knoxville · US

Funding

Cancer Prevention and Control Research Training and Career Development ProgramT32CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Bijal A. Balasubramanian, Maria Eulalia Fernandez · 2018 to 2026
$3.2M
NCI NIH HHS T32 CA057712
6 · The paper itself

Abstract

introductionSecondhand smoke exposure during adolescence is linked to increased risk for cigarette smoking susceptibility and initiation. Non-urban youth may encounter a disproportionate number social and environmental risk factors for secondhand smoke exposure. Research is needed to explore geographic disparities in secondhand smoke exposure. AIMS AND

methodsFour years of National Youth Tobacco Survey (2015-2018) data were pooled. Participants were 69 249 middle and high school students. Multivariable logistic regression examined the relationship between geographic region and secondhand smoke exposure (1) at home and (2) in a vehicle. A multivariable, multinomial logistic regression examined the relationship between geographic region and number of sources of secondhand smoke exposure (ie, 0, 1 source, 2 sources). Covariates included sex, race/ethnicity, grade level, past 30-day tobacco use, and living with a tobacco user.

resultsFrom 2015 to 2018, ~28.4% of middle and high school students reported secondhand smoke exposure either at home, in a vehicle, or both. Non-urban youth had greater odds of reporting secondhand smoke exposure at home (Adj OR: 1.26; 95% CI: 1.15 to 1.38) and in a vehicle (Adj OR: 1.50; 95% CI: 1.35 to 1.65), compared with urban youth. Similarly, non-urban youth had greater odds of reporting secondhand smoke exposure via one source (RRR: 1.21; 95% CI: 1.11 to 1.31) and two sources (RRR: 1.61; 95% CI: 1.42 to 1.82), relative to no exposure, than urban youth.

conclusionSecondhand smoke exposure at home and/or in a vehicle varies across geographic region. Targeted interventions should be developed and implemented to reduce secondhand smoke exposure among at-risk youth. IMPLICATIONS: Findings showcase the need to address secondhand smoke exposure in non-urban areas and how it impacts adolescents. Public health interventions and regulatory policies aimed at improving social norms and expanding health infrastructure in rural communities should be designed and implemented in order to prevent and reduce secondhand smoke exposure among non-urban youth.

Indexed as

Cigarette SmokingTobacco ProductsTobacco Smoke PollutionAdolescentHumansSmokingStudentsUnited StatesTobacco Smoke Pollution

Identifiers

PMID33155051
PMCPMC8496497
OpenAlexW3096543592

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.