ArticleFrontiers in public health2024
Association between smoking status and health-related quality of life: a study on differences among age groups.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Exploring the Association Between Cigarette Consumption and Health-Related Quality of Life: Insights From University Students in Bangladesh.Public health challenges · 2026Article
- Smoking and Multidimensional Well-Being: Gender and Cohort Differences in China.Behavioral sciences (Basel, Switzerland) · 2026Article
- Lifestyle Habits and Comorbidities as Determinants of Quality of Life in Coronary Artery Disease: A Single-Center Prospective Study.Journal of clinical medicine · 2026Article
- The Intersection of Non-Communicable Chronic Disease and Endodontic Care: A Pilot Retrospective Cross-Sectional Study.Dentistry journal · 2026Article
- Health-related quality of life in poverty-alleviated individuals living with chronic conditions: a cross-sectional survey from an impoverished county in China.Scientific reports · 2026Article
- Article
- Predictors of health perceptions and health-promoting behaviors among Turkish prisoners: a cross-sectional study.BMC public health · 2025Article
- From pandemic to endemic: assessing the impact of COVID-19 history and socio-demographic factors on quality of life in tuberculosis patients.Frontiers in medicine · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study explored the effect of four different smoking statuses (non-smokers, moderate smokers, heavy smokers, and former smokers) on health-related quality of life (HRQOL) among residents aged 15 years and older in Sichuan Province, China with consideration of potential differences among age groups (young, middle-aged, and older adults). Methods: The EQ-5D-5L utility index and EQ-VAS score were used to measure HRQOL. Self-reporting and salivary cotinine test were used to determine the smoking status of respondents, and the Tobit regression model was used to explore the relationship between smoking status and HRQOL. Results: The Tobit regression model found a significant correlation between smoking status and HRQOL. Heavy smokers reported a lower EQ-VAS score compared to non-smokers ( Conclusion: This study found a significant correlation between HRQOL and smoking status, with notable differences in the relationship between smoking, EQ-5D-5L utility index, and EQ-VAS scores across age groups. We recommend targeted measures to control tobacco use based on age, considering specific smoking risks for each group. In particular, attention should be paid to the harm of smoking among young and middle-aged groups, reduce the occurrence of smoking behavior through publicity and early intervention, and provide appropriate health interventions for the older adult group. In addition, effective smoking cessation support policies should be developed to encourage residents to quit or reduce smoking frequency, avoid the progression of moderate smoking to heavy smoking and thus lead to serious health threats.
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