Evidence map›Paper›PMID 38476790›Full record

ArticleCureus2024

Adherence to the National Tobacco-Free School Policy in Selected Schools of Puducherry District in India: A Cross-Sectional Exploratory Study.

Shubhajit Pahari, Parthibane Sivanantham, Sitanshu S Kar

Abstract read
In one paragraph

Article in Cureus, 2024. 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

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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. Observational
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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

3 authors.

Shubhajit PahariDepartment of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.
Parthibane SivananthamDepartment of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.
Sitanshu S KarDepartment of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this study was to estimate the level of compliance and the factors associated with high adherence to the Tobacco-Free Educational Institutions (ToFEI) guidelines of the Government of India among schools in the district of Puducherry, India.

methodsThis cross-sectional study was conducted among schools (N=50) in the Puducherry district in 2021-2022 using a "Self-Evaluation Scorecard" of the ToFEI guidelines. The assessment was done through in-person interviews with the schools' heads/representatives. The level of compliance to indicators was presented as proportions, and factors associated with high compliance were assessed using the chi-square test.

resultsNo school met all the ToFEI indicators. The majority (88%) showed no evidence of the use of tobacco products inside the premises. More than half of the schools (58%) adhered to the criteria of not having tobacco shops within 100 yards and 56% reported the inclusion of the "No Use of Tobacco" norm in their guidelines. Schools located in rural areas (p-value <0.01) and those with teachers who attended any tobacco-related workshop were more likely to comply with the ToFEI indicators (p-value 0.05). After relaxing the criteria for 'High Adherence' to at least four indicators, we found that 20% of schools showed high adherence to the ToFEI indicators.

conclusionOverall compliance of schools to the ToFEI guidelines is low in Puducherry. Sensitizing the relevant stakeholders in the district for implementing ToFEI guidelines and institutionalizing tobacco control activities in the school are the needs of the hour.

Indexed as

adolescentsrural healthschoolssmokeless tobaccosmokingstudentsthe cigarettes and other tobacco products act (cotpa) 2003tobacco-free educational institutions

Identifiers

PMID38476790
PMCPMC10927484

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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.