ArticleBMC public health2020
Demographics and medical disorders associated with smoking: a population-based study.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Sexually dimorphic response to tobacco exposure in COPD: a systematic review and meta-analysis.BMC pulmonary medicine · 2026Pooled it
- The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis.BMC medical informatics and decision making · 2024Pooled it
- A Preliminary Study of Smoking Abstinence Effects on Acquisition and Reversal Learning in a Probabilistic Learning Task.Substance use & misuse · 2026Trial
- A cross-national analysis of demographic variation in daily smoking across 22 countries.Scientific reports · 2025Article
- Tobacco Product Users Among School-Going Adolescents in Malaysia: Prevalence and Associated Factors.The Malaysian journal of medical sciences : MJMS · 2025Article
- The rate of smoking in patients who have suffered from ACLR graft rupture.Journal of experimental orthopaedics · 2025Article
- The association between osteoporosis and quality of life among older adults in Southern Iran: findings from the Bushehr Elderly Health Program.BMC geriatrics · 2024Article
- Smoking Habits and Nicotine Dependence Among the General Lebanese Population Before and During Both the Economic Crisis and COVID-19 Pandemic.Tobacco use insights · 2024Article
- Hashimoto's thyroiditis increases the risk of new-onset systemic lupus erythematosus: a nationwide population-based cohort study.Arthritis research & therapy · 2023Article
- Prevalence and risk factors for vascular calcification based on the ankle-brachial index in the general population: a cross-sectional study.BMC cardiovascular disorders · 2022Article
- Association between Smoking and Overall and Specific Mortality in Patients with Bladder Cancer: A Population-based Study.Bladder cancer (Amsterdam, Netherlands) · 2022Article
- Differences in outcomes of hospitalizations for heart failure after SGLT2 inhibitor treatment: effect modification by atherosclerotic cardiovascular disease.Cardiovascular diabetology · 2021Observational
- Association Between a History of NontyphoidalFrontiers in immunology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundFew studies have investigated factors associated with smoking behaviors. In this population-based study, we investigated demographics and medical comorbid diseases to establish a prediction model for smoking behaviors by using the National Health Interview Survey (NHIS) and National Health Insurance Research Database (NHIRD).
methodsWe enrolled individuals aged ≥40 years who had participated in the NHIS in 2001, 2005, and 2009. We identified the smoking behaviors of the study participants in the NHIS. Smoking behaviors were divided into ever smokers (current smokers and ex-smokers) and nonsmokers (never smokers).We defined medical comorbid disorders of the study participants by using medical claim data from the NHIRD. We used multivariable logistic regression models to calculate the adjusted odds ratio and 95% confidence interval for variables associated with smoking. The significant variables in the multivariable model were included in the receiver operating characteristic curves (ROC) to predict the sensitivity and specificity of the model.
resultsIn total, 26,375 participants (12,779 men and 13,596 women) were included in the analysis. The prevalence of smoking was 39.29%. The mean ages of the 16,012 nonsmokers were higher than those of the 10,363 smokers (57.86 ± 12.92 years vs. 53.59 ± 10.82 years). Men outnumbered women among smokers (68.18% vs. 31.82%). Male sex, young age and middle age, being insured categories, residence in suburban areas, and chronic obstructive pulmonary disease (COPD) were independent factors associated with smoking. The area under the ROC curve of these significant factors to predict smoking behaviors was 71.63%.
conclusionSex, age, insured categories, residence in suburban areas, and COPD were associated with smoking in people.
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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.