ArticleScientific reports2025
Smoking cessation among middle-aged and older adults in India.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There are close to 100 million combustible tobacco users in India. This study was conducted to assess the national and state-level estimates for smoking quit ratio and identify the factors associated with quitting smoking among life-time combustible tobacco users aged 45 years and above in India. A cross-sectional analysis of a representative sample of 11,920 lifetime combustible tobacco users aged ≥ 45 years extracted from the Longitudinal Ageing Study in India (LASI) was conducted. Quit ratio was defined as the ratio of individuals who quit smoking to lifetime combustible tobacco users. Descriptive estimates for quit ratios at the national and state levels were computed. Adjusted odds ratios (AOR) using binary logistic regression analysis were computed to identify the factors associated with quitting smoking. The smoking quit ratio at the country level was estimated as 21.1%. Among major states, Kerala (49.0%, 95% CI = 48.9-49.1) had the highest quit ratio. Individuals aged 61 years and above (AOR = 1.72; 95% CI = 1.46-2.03), healthcare visits (AOR = 1.29; 95% CI = 1.09-1.53), diagnosis with non-communicable diseases like cancer, lung disease, heart disease or stroke (AOR = 1.87, 95% CI = 1.52-2.30) had significantly higher odds of successfully quitting smoking. Individuals consuming alcohol at least once a month (AOR = 0.55; 95% CI = 0.42-0.71) had lower odds of quitting smoking compared to their counterparts. The less-than-optimal quit ratios at national and state levels among lifetime combustible tobacco users in India are reflective of the bottlenecks in tobacco cessation support availability, access, and use. A higher quit ratio was observed in states that invested in strengthening tobacco control systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.