Evidence map›Paper›PMID 40511421›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Interest in Online Tobacco Cessation Services During the COVID-19 Pandemic in India- insights from Google Trends.

Madhur Verma, Sonu Goel, Praveen Sinha, Mahendra Singh, Kritika Upadhyay

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Madhur VermaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Sonu GoelDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Praveen SinhaNational Professional Officer (TFI), NCD Division of WHO India.
Mahendra SinghDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Kritika UpadhyayDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With concerns about higher mortality and morbidity attributed to COVID-19 infection among tobacco users, the pandemic has been an opportune time to further our efforts towards tobacco cessation. The present study thus aims to assess the interest in tobacco cessation services during the pandemic. Materials and Methods: An ecological study was done using data from Google Trends for five years. The trends depicting the interest in internet search terms like "Quit-tobacco" and "Quitline" were retrieved and compared over the study period and with the Global Adult Tobacco Survey-India (GATS-II) data estimates (2016-17). The results were reported using descriptive statistics and line graphs. Results: Between 2017 and 21, the search interest regarding quitting tobacco depicted the highest peak corresponding to the second wave of the COVID-19 pandemic. There were significant geographical disparities in the Google searches made across India. As per GATS-II, only 0.2% of the smokers had used a Quitline, corresponding to a smaller peak in Google Trends. Interest in "Quitline" compared to "quit tobacco" was in a ratio of 1:11, and the gap increased further during the pandemic by 1:12. Conclusions: We observed an increasing interest in the searches related to "Quit-tobacco" like terms during the pandemic but an increasing gap in the interest around the "Quitline" searches. The present study hypothesizes that the pandemic increased concerns regarding tobacco, leading to a higher interest in tobacco cessation services, thus calling for a proactive approach to propagate 'Quitline' through generous advocacy to have efficient tobacco control per the National Tobacco Control Program.

Indexed as

Quitlinesmokingtobacco cessationtobacco control

Identifiers

PMID40511421
PMCPMC12156087

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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.