Evidence map›Paper›PMID 41280575›Full record

ArticleJournal of family medicine and primary care2025

Determinants of tobacco product sales near educational institutions in Telangana and Meghalaya.

Ravita Yadav, Sonu Goel, Rajeev Kumar, Rana J Singh

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ravita YadavDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Sonu GoelDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Rajeev KumarDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Rana J SinghTobacco Control Section, Vital Strategies, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tobacco use among Indian youth remains a significant public health concern, with a high prevalence of early initiation driven by accessibility, peer pressure, and targeted marketing. Despite legislative measures like the Cigarettes and Other Tobacco Products Act (COTPA), enforcement of the ban on tobacco sales within 100 yards of educational institutions remains inadequate. This study examines the factors influencing tobacco sales near schools in Telangana and Meghalaya, highlighting the urgent need for stronger regulations and monitoring to reduce youth exposure to tobacco products. Methodology: A cross-sectional study was conducted in seven districts of Meghalaya and Telangana, surveying 234 educational institutions selected through convenient sampling. Tobacco vendors within 100 yards of institutions were mapped and observed for compliance with Section 6 (b) of COTPA. Data on institution type, signage, and points of sale were collected through unannounced observations. Statistical analysis using descriptive statistics and Chi-square tests was performed in STATA 15.0 to identify factors influencing compliance. Results: Among 234 institutions surveyed, 25% had tobacco sales within 100 yards, with higher prevalence in urban areas (30.6%) than rural (20.9%), and government institutions (31.1%) compared to private (21.1%). Middle and secondary schools had higher sales proximity (61.5% and 36.7%) than senior secondary (10.3%) or above (17.7%). Tobacco-free signage reduced sales prevalence (33.3% vs. 66.6%), and institutions with fewer than five PoS accounted for 80% of violations. Conclusion: This study highlights significant violations of COTPA Section 6 (b), with a deliberate clustering of tobacco retailers near government, middle, and secondary schools, particularly in urban areas. Weak enforcement, lack of tobacco-free signage, and targeted marketing exacerbate youth exposure to tobacco products, fostering early initiation and lifelong addiction. Strengthened regulatory enforcement, stricter penalties, improved monitoring, and youth-focused awareness campaigns are essential to curb tobacco sales near educational institutions and protect vulnerable populations.

Indexed as

COTPA compliancepublic health policyschool proximitysection 6 (b) COTPAtobacco controltobacco sales regulationyouth tobacco use

Identifiers

PMID41280575
PMCPMC12633962

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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.