ArticlePloS one2026
Receipt of healthcare provider advice to quit tobacco use among Indian men.
Article in PloS one, 2026. 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionHealthcare provider (HCP) advice to quit smoking is an essential component of smoking cessation interventions. The National Family Health Survey (NFHS) is a periodic health survey of the Indian population. In this cross-sectional analysis we compared NFHS 2015-16 to NFHS 2019-21, and examined the prevalence of the HCP advice to quit tobacco and its associated factors among male cigarette and bidi users.
methodsThe analytic sample included those who had a HCP visit in the past 12 months. We defined quit advice as receiving any advice to quit smoking from a HCP in the last 12 months ("HCP advice to quit"). We compared sociodemographic characteristics of participants between NFHS-4 and 5. We pooled both samples to conduct multivariate logistic regression analysis for the binary outcome of HCP advice to quit, and examined sociodemographic (age, education, caste, occupation), lifestyle and environmental (smoking frequency, alcohol consumption, second hand smoke exposure), health (non-communicable disease diagnosis), and healthcare use (oral examination, health insurance coverage) factors associated with this outcome.
resultsAmong cigarette and bidi users visiting a HCP, advice to quit significantly improved from NFHS-4 (54.2%) to NFHS-5 (56.7%) (p < 0.025). Being 45-54 years of age (AOR = 1.67, 95% CI = 1.47-1.89), having a non-communicable disease diagnosis (AOR = 1.80, 95% CI = 1.53-2.12), and smoking >10 cigarettes/bidi per day (AOR = 1.44, 95% CI = 1.29-1.60) were significantly associated with HCP advice to quit. Individuals from Scheduled Tribes were less likely to receive HCP advice to quit (AOR = 0.60, 95% CI = 0.50-0.71).
conclusionsWhile HCP advice to quit increased from NFHS-4 to NFHS-5, it was limited to those who fit the risk factor profile of a middle-aged male with non-communicable diseases. Although the study is limited by self-reported cross sectional data and survey-item differences between NFHS rounds, our findings present a pressing need for interventions to increase HCP advice to quit to other demographics of men who smoke.
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.