Evidence map›Paper›PMID 42639626›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine2026

Parsing Instagram Posts for Smoking Imagery Amongst Users: A Content Analysis.

Sonal Bhatia, Vikrant Mohanty, Aswini Y Balappanavar, Puneet Chahar, Kavita Rijhwani, Radhika Gupta

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sonal BhatiaDepartment of Public Health Dentistry, Maulana Azad Institute of Dental Sciences, New Delhi, India.
Vikrant MohantyDepartment of Public Health Dentistry, Maulana Azad Institute of Dental Sciences, New Delhi, India.
Aswini Y BalappanavarDepartment of Public Health Dentistry, Maulana Azad Institute of Dental Sciences, New Delhi, India.
Puneet ChaharDepartment of Public Health Dentistry, Maulana Azad Institute of Dental Sciences, New Delhi, India.
Kavita RijhwaniDepartment of Public Health Dentistry, Maulana Azad Institute of Dental Sciences, New Delhi, India.
Radhika GuptaDepartment of Public Health Dentistry, Maulana Azad Institute of Dental Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite legal restrictions on tobacco advertising, social media platforms have emerged as largely unregulated spaces for indirect tobacco promotion. Image-based networks such as Instagram intensify this threat through visibility, influencer marketing, and normalization of smoking among youth. This study analysed the prevalence and nature of smoking imagery on Instagram to assess patterns of sentiment, product portrayal, and policy violations. Methods: A content analysis of 750 Instagram posts containing fifteen smoking-related hashtags was conducted between February and May 2023. An eight-domain codebook classified posts by sentiment, artifact visibility, tobacco use, smoke play, health warning, anti-smoking awareness, brand promotion, and artifact type. Descriptive statistics were generated using SPSS v25, and WordCloud analysis identified recurring themes. Results: Posts demonstrated high visibility and engagement (mean likes: 361.8±607.5; comments: 12.7±18.8; user followers: 17,262±48,138). Positive sentiment dominated (79.7%), while negative sentiment was rare (0.9%). Smoking artifacts were visible in 75.6% of posts, with explicit tobacco use in 61.9%. Smoke play appeared in 20.3%. Brand promotion was present in 22.3% of posts. Health warnings (2.8%) and anti-smoking intent (1.5%) were less common. Cigarettes were most common (61.2%), followed by ENDS (17.9%), marijuana (8.2%), and hookah (6.8%). WordCloud analysis revealed four themes: gendered smoking identity, fetishization, cultural pairing, and increasing vaping imagery. Conclusion: Smoking is widely normalized and aesthetically portrayed on Instagram, with substantial engagement and covert brand presence despite regulatory bans. Limited health messaging and strong visual messaging highlight gaps in digital tobacco control, emphasising the need for strengthened tobacco control regulations and active social media surveillance.

Indexed as

Content analysiselectronic nicotine delivery systemssmokingsocial mediatobacco advertisingtobacco control

Identifiers

PMID42639626
PMCPMC13502989

What OpenQuestion holds

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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.