Evidence map›Paper›PMID 37739473›Full record

ArticleBMJ open2023

Trends and determinants of tobacco use initiation in India: analysis of two rounds of the Global Adult Tobacco Survey.

Madhur Verma, Kirtan Rana, Garima Bhatt, Nikita Sharma, Pranay Lal

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Reflecting on the Influence of Anti-Tobacco Media Messages on Quit Behaviour in India.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  12. Article
  13. Article
  14. Tobacco, Taxation, and Cancer: Combating India's Oral Cancer Epidemic.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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 at 3 institutions in 2 countries.

Madhur VermaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India drmadhurverma@gmail.com ranakirtan006@gmail.com.ORCID 0000-0002-1787-8392
Kirtan RanaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India drmadhurverma@gmail.com ranakirtan006@gmail.com.
Garima BhattDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID 0000-0002-5258-7339
Nikita SharmaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bilaspur, India.
Pranay LalDepartment of Health, Government of National Capital Territory of Delhi, New Delhi, India.
All India Institute of Medical Sciences · INInstitute of Post Graduate Medical Education and Research · INGovernment of India · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEarly initiation of tobacco use can lead to lifelong addiction and increases tobacco-attributable morbidity and mortality. This study assesses trends in tobacco use initiation and factors associated with tobacco use initiation using disaggregated data from two rounds of the Global Adult Tobacco Survey India (GATS; 2009-2010 (GATS 1) and 2016-2017 (GATS 2)).

designSecondary analysis of repeated cross-sectional studies. SETTINGS AND

participantsThe study involved data from 69 296 individuals and 76 069 households in GATS 1 and 74 037 individuals and 77 170 households in GATS 2, two rounds of a nationally representative survey in India. OUTCOME MEASURES: Mean age of initiation (as recalled by the participants) of smoked and smokeless tobacco (SLT) use (dependent variable) was compared and analysed across different sociodemographic variables (independent factors). We assessed change in mean age of initiation of tobacco usage on a daily basis between GATS 1 and GATS 2, and investigated the factors associated with early tobacco use initiation in the GATS 2 dataset (reported using adjusted ORs (aORs) with 95% CIs).

resultsThe mean age of initiation of smoked tobacco and SLT in GATS 2 was 20.9±8.5 and 22.3±10.6 years, compared with 18.5±9.7 and 19.7±12.0 years in GATS 1. The mean age of initiation increased with age and among those who were better aware of the adverse effects of tobacco. As per GATS 2, males initiated smoked tobacco and SLT use earlier (20.6±7.4 and 21.7±9.1) than females (23.3±14.2 and 23.2±12.6 years). Younger participants (15-24 years) reported earlier initiation of SLT (15.5±4.2 years) compared with others. Binary logistic regression depicted variables associated with early initiation of tobacco. Awareness about the harms caused by tobacco affected the odds of SLT (aOR 1.4, 95% CI 1.3 to 1.7) and dual usage initiation (1.8, 1.6 to 2.0), but not of initiation of smoked tobacco products (1.1, 0.9 to 1.2).

conclusionsMore robust health advocacy campaigns that communicate the harmful effects of tobacco on health could be useful to delay tobacco initiation, along with reducing the ease of access and affordability of tobacco products among vulnerable groups.

Indexed as

Teaching RoundsAdolescentAdultChildCross-Sectional StudiesFemaleHumansIndiaMaleTobacco UseYoung Adultepidemiologyhealth policypublic healthsubstance misuse

Identifiers

PMID37739473
PMCPMC10533663
OpenAlexW4386969473

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.