ArticleScientific reports2022
Estimates of prevalence, time-trend, and association of smoking in adults living with HIV, HBV, and HCV (NHANES 1999-2018).
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Prevalence and Trends in Active Smoking Among Adults Living with HCV in the U.S. over the Last Decade: A Population-Level Analysis.Journal of clinical medicine · 2025Article
- Impact of Socio-Economic, Behavioural and Clinical Factors on Liver Disease Progression in Individuals With HIV and Hepatitis B.Liver international : official journal of the International Association for the Study of the Liver · 2025Observational
- Neutrophil-to-lymphocyte ratio and its correlation with tuberculosis infection: a cross-sectional survey based on the NHANES database.Journal of thoracic disease · 2025Article
- Association between systemic immune-inflammation index and latent tuberculosis infection: a cross-sectional study.Frontiers in medicine · 2025Article
- Stochastic modeling of obesity status in United States adults using Markov Chains: A nationally representative analysis of population health data from 2017-2020.Obesity science & practice · 2023Article
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6 authors.
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Abstract
Although the smoking rate of human immunodeficiency virus (HIV), hepatitis B virus (HBV) or hepatitis C virus (HCV) infected people was much higher than that of the general population, smoking cessation interventions have long been ineffective. We aimed to examine the estimates of prevalence, time-trend, and association of smoking among people living with HIV, HBV, or HCV. This cohort was composed of 32,115 individuals from the NHANES database (1999-2018) and they were collected in the US. The time trend analysis of smoking and quitting rates was conducted using different years of survey follow-up and different infected groups. Multivariable logistic regression analysis was used to identify the risk factors related to smoking behavior of these infected people. Compared to non-infected smokers, infected smokers were more likely to be older (aged 30-39, OR = 9.92, CI 6.07-16.21; aged 40-49,OR = 3.51, CI 2.49-4.94), males (1.99, 1.54-2.55), lower education and economic level (1.78, 1.39-2.29; 2.05, 1.59-2.65), unemployed (1.63, 1.21-2.20), suffering depression (1.35, 1.05-1.72), and drug users (7.65, 5.04-11.59). Taken together, our study showed that these complex psychosocial characteristics and unhealthy behavioral factors might be major independent risk factors for increasing smoking rate and decreasing smoking cessation rate among these infected people.
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