Evidence map›Paper›PMID 20019323›Full record

ArticleAmerican journal of public health2010

Targeting high-risk neighborhoods for tobacco prevention education in schools.

Christine Elizabeth Kaestle, Bradford B Wiles

Abstract read
In one paragraph

Article in American journal of public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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.

Christine Elizabeth KaestleDepartment of Human Development, 315 Wallace Hall (0416), Virginia Tech, Blacksburg, VA 24061, USA. kaestle@vt.edu
Bradford B Wiles

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe examined whether individual and neighborhood characteristics associated with smoking were also predictive of exposure to smoking prevention education in schools, to determine whether education programs were targeted appropriately to reach neighborhoods with the greatest need.

methodsWe merged data from 2 sources-the 2005 Virginia Youth Tobacco Survey (n=2208) and the Census 2000 School District Demographics Project-and used binary multilevel models with random effects to determine whether the same demographic characteristics and neighborhood characteristics predicted both adolescent smoking and exposure to prevention programs.

resultsWe found that although light, medium, and heavy smoking rates were higher in neighborhoods of lower socioeconomic status (relative risk ratio=1.49, 1.36, and 1.65, respectively), prevention programs were less available in those areas (odds ratio=0.82).

conclusionsOur study indicates that school prevention programs are not being effectively targeted and that more effective ways to reach high-risk and disadvantaged neighborhoods are needed.

Indexed as

SchoolsSmoking PreventionAdolescentChildDemographyFemaleHealth EducationHumansMaleModels, StatisticalResidence CharacteristicsRisk-TakingSmokingSocioeconomic FactorsVirginia

Identifiers

PMID20019323
PMCPMC2920969

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.