Evidence map›Paper›PMID 25257333›Full record

ArticleJournal of American college health : J of ACH2015

Evaluating California campus tobacco policies using the American College Health Association guidelines and the Institutional Grammar Tool.

Maria L Roditis, Donna Wang, Stanton A Glantz, Amanda Fallin

Abstract read
In one paragraph

Article in Journal of American college health : J of ACH, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Maria L Roditisa Center for Tobacco Control Research and Education University of California, San Francisco San Francisco , California.
Donna Wang
Stanton A Glantz
Amanda Fallin

Funding

TOBACCO ADVOCACY AT THE STATE LEVELR01CA061021 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLANTZ, STANTON ARNOLD · 1994 to 2015
$7.4M
Postdoctoral training in tobacco controlR25CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLANTZ, STANTON ARNOLD · 2006 to 2015
$5.4M
Postdoctoral training in tobacco controlT32CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2016 to 2020
$2.6M
NCI NIH HHS CA-061021NCI NIH HHS CA-113710NCI NIH HHS R01 CA061021NCI NIH HHS R25 CA113710NCI NIH HHS T32 CA113710
6 · The paper itself

Abstract

objectiveTo measure comprehensiveness of California campus tobacco policies.

participantsSixteen campuses representing different regions, institution types, and policies. Research occurred June-August 2013.

methodsComprehensiveness was scored using American College Health Association's (ACHA) Position Statement on Tobacco. The Institutional Grammar Tool was used to breakdown policy statements into Strategies, Norms, or Rules. Differences in ACHA score and number of Strategies, Norms, and Rules were assessed by region, policy, and institution type.

resultsMedian ACHA score was 0.35 (scale of 0-1). Schools with 100% tobacco-free policies had highest ACHA scores, but failed to address relationships between schools and tobacco companies. Less than half the schools assessed (7/16) had Rules (enforceable penalties related to policies). In 67% of the policy statements, individuals doing the action were implied (not specifically stated).

conclusionCampuses should address ACHA recommendations related to campus relationships with tobacco companies, include enforceable rules, and specify individuals and entities covered by policy.

Indexed as

Health PolicyOrganizational PolicySmoking PreventionUniversitiesAdolescentCaliforniaFemaleHumansMaleNicotianaStudentsUnited StatesYoung Adultcampus tobacco policiespolicysmokingtobacco

Identifiers

PMID25257333
PMCPMC4268277

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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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.