Evidence map›Paper›PMID 21504920›Full record

ArticleTobacco control2011

Smoke-free college campuses: no ifs, ands or toxic butts.

Michael Sawdey, Ryan P Lindsay, Thomas E Novotny

Abstract read
In one paragraph

Article in Tobacco control, 2011. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Clean environment index: A new approach for litter assessment.Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2023
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Michael SawdeyGraduate School of Public Health, San Diego State University, San Diego, CA 92182-4162, USA.
Ryan P Lindsay
Thomas E Novotny

Funding

Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
NIDA NIH HHS T32 DA023356NIDA NIH HHS T32DA023356
6 · The paper itself

Abstract

objectiveTo better estimate the burden of toxic cigarette butt waste and create awareness of the hazardous nature of cigarette butts on two large university campuses in San Diego by organizing and conducting student cigarette butt clean-up activities.

methodsTwo separate campus-wide clean-ups were conducted by student volunteers at San Diego State University (SDSU) and at University of California San Diego (UCSD) between April and July 2010.

resultsIn 1 h, 63 volunteers at SDSU collected 23,885 butts; 6525 cigarette butts were collected in 1 h by 17 volunteers at UCSD. The average number of cigarette butts picked up per individual was 379.1 at SDSU and 383.8 at UCSD (range 25-1030 per volunteer).

conclusionsThe amount of cigarette waste on college campuses nationally may be quite substantial given the many thousands of cigarette butts gathered at each of the San Diego institutions. In just 10 s on average a volunteer could locate, walk to, pick up and put a cigarette butt in the collection bag and then begin looking for another discarded butt, indicating the saturation of cigarette butts on campus. Smoke-free policies on campus could have far-reaching effects not only in reducing smoking behaviour on campus and ground clean-up costs, but also on the environment. Campus cigarette waste clean-ups can be utilized to call attention to the issue of cigarette butt waste in the environment.

Indexed as

Hazardous SubstancesSmokingUniversitiesAdultCaliforniaConservation of Natural ResourcesHazardous WasteHumansPolicySmoking CessationStudentsYoung AdultHazardous SubstancesHazardous Waste

Identifiers

PMID21504920
PMCPMC3088459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.