Evidence map›Paper›PMID 35901848›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2022

Home Smoke-Free Policies as Children Age: Urban, Rural, and Suburban Differences.

Dale S Mantey, Onyinye Omega-Njemnobi, Ethan T Hunt, Kevin Lanza, Benjamin Cristol, Steven H Kelder

Open access · greenAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 38% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Dale S ManteyUT Health Science Center at Houston, UT Health, School of Public Health in Austin, 1616 Guadalupe, Suite 6.300, Austin, TX 78701, USA.ORCID 0000-0002-1122-4849
Onyinye Omega-NjemnobiUT Health Science Center at Houston, UT Health, School of Public Health in Austin, 1616 Guadalupe, Suite 6.300, Austin, TX 78701, USA.
Ethan T HuntUT Health Science Center at Houston, UT Health, School of Public Health in Austin, 1616 Guadalupe, Suite 6.300, Austin, TX 78701, USA.
Kevin LanzaUT Health Science Center at Houston, UT Health, School of Public Health in Austin, 1616 Guadalupe, Suite 6.300, Austin, TX 78701, USA.
Benjamin CristolUT Health Science Center at Houston, UT Health, School of Public Health in Austin, 1616 Guadalupe, Suite 6.300, Austin, TX 78701, USA.ORCID 0000-0001-9749-5596
Steven H KelderUT Health Science Center at Houston, UT Health, School of Public Health in Austin, 1616 Guadalupe, Suite 6.300, Austin, TX 78701, USA.
University of Texas Health Science Center at Dallas · US

Funding

BEHAVIORAL SCIENCE EDUCATION--CANCER PREVENTION/CONTROLR25CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MULLEN, PATRICIA DOLAN · 1992 to 2017
$8.6M
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 R25 CA057712NCI NIH HHS T32 CA057712
6 · The paper itself

Abstract

introductionParents/guardians can effectively reduce tobacco smoking and secondhand smoke exposure among youth by adopting and enforcing rules against indoor tobacco smoking (ie, home smoke-free policies). We investigate home smoke-free policies from childhood to adolescence in the United States and across rural, suburban, and urban households. AIMS AND

methodsWe analyzed 2019-2020 National Survey of Children's Health data from n = 5,955 parents of youth aged 0-17, living at home with a tobacco smoker in the United States (U.S). Geographical categories were: rural, suburban, and urban. Home smoke-free policy reflected prohibiting tobacco smoking inside the home. Weighted logistic regressions examined the (1) association between youth age and home smoke-free policies, (2) interaction between geographic category and youth age, and (3) differing associations between youth age and home smoke-free policies by geography. Models controlled for youth race, ethnicity, sex, parental education, household annual income, and home structure.

resultsApproximately 13.2% of U.S. households with a smoker did not have a home smoke-free policy. Stratified analyses found one-year increase in youth age was associated with lower odds of having a home smoke-free policy in rural (aOR:0.91; 95%CI: 0.87-0.95) and urban (aOR: 0.96; 95%CI: 0.92-1.00; p = .039), but not suburban (aOR:1.00; 95%CI: 0.95-1.05) households, controlling for covariates.

conclusionOdds of having a smoke-free home in the U.S. declined significantly in rural (9% per year) and urban (4%) but not suburban (0%) households. We quantify declines in home smoke-free policies as children age and identify geographic disparities for this environmental determinant of health. IMPLICATIONS: Health promotion efforts targeting secondhand smoke prevention is needed, particularly for parents of older youth. Furthermore, there is a clear geographic bias in secondhand smoke exposure among all youth particularly older youth. Tailored interventions are needed to address geographic disparities in secondhand smoke exposure among rural and urban youth.

Indexed as

Smoke-Free PolicyTobacco Smoke PollutionAdolescentChildFamily CharacteristicsHumansParentsRural PopulationUnited StatesTobacco Smoke Pollution

Identifiers

PMID35901848
PMCPMC9653085
OpenAlexW4288444187

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.