Association between smoking status and health-related quality of life: a study on differences among age groups

PurposeThis 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 a...

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Main Authors: Guanping Zhong, Yang Shu, Hongwei Li, Yuelin Zhou, Qiaoying Wei, Biao Yang, Lian Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Public Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1508236/full
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author Guanping Zhong
Yang Shu
Hongwei Li
Yuelin Zhou
Qiaoying Wei
Biao Yang
Lian Yang
author_facet Guanping Zhong
Yang Shu
Hongwei Li
Yuelin Zhou
Qiaoying Wei
Biao Yang
Lian Yang
author_sort Guanping Zhong
collection DOAJ
description PurposeThis 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).MethodsThe 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.ResultsThe Tobit regression model found a significant correlation between smoking status and HRQOL. Heavy smokers reported a lower EQ-VAS score compared to non-smokers (p < 0.01); the EQ-5D-5L utility index and EQ-VAS score reported by former smokers were lower compared to non-smokers (p < 0.05 and p < 0.01, respectively). In the young population, the EQ-VAS score of heavy smokers was lower than that of non-smokers (p < 0.05); In the middle-aged population, the EQ-VAS score of heavy smokers was lower than that of non-smokers (p < 0.05). The EQ-5D-5L utility index and EQ-VAS score of former smokers were lower than that of non-smokers (p < 0.05 and p < 0.001, respectively). However, in the older adult population, the EQ-5D-5L utility index and EQ-VAS score of moderate smokers were higher compared to non-smokers (p < 0.05 and p < 0.05, respectively).ConclusionThis 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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spelling doaj-art-87026920859743378ab54bcaab4cdf3a2025-01-08T06:12:20ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011210.3389/fpubh.2024.15082361508236Association between smoking status and health-related quality of life: a study on differences among age groupsGuanping Zhong0Yang Shu1Hongwei Li2Yuelin Zhou3Qiaoying Wei4Biao Yang5Lian Yang6HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaHEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaHEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaHEOA Group, School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaHEOA Group, School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaHEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaHEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaPurposeThis 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).MethodsThe 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.ResultsThe Tobit regression model found a significant correlation between smoking status and HRQOL. Heavy smokers reported a lower EQ-VAS score compared to non-smokers (p < 0.01); the EQ-5D-5L utility index and EQ-VAS score reported by former smokers were lower compared to non-smokers (p < 0.05 and p < 0.01, respectively). In the young population, the EQ-VAS score of heavy smokers was lower than that of non-smokers (p < 0.05); In the middle-aged population, the EQ-VAS score of heavy smokers was lower than that of non-smokers (p < 0.05). The EQ-5D-5L utility index and EQ-VAS score of former smokers were lower than that of non-smokers (p < 0.05 and p < 0.001, respectively). However, in the older adult population, the EQ-5D-5L utility index and EQ-VAS score of moderate smokers were higher compared to non-smokers (p < 0.05 and p < 0.05, respectively).ConclusionThis 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.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1508236/fullsmoking statusEQ-5D-5L utility indexHRQOLEQ-VASmultiperson group
spellingShingle Guanping Zhong
Yang Shu
Hongwei Li
Yuelin Zhou
Qiaoying Wei
Biao Yang
Lian Yang
Association between smoking status and health-related quality of life: a study on differences among age groups
Frontiers in Public Health
smoking status
EQ-5D-5L utility index
HRQOL
EQ-VAS
multiperson group
title Association between smoking status and health-related quality of life: a study on differences among age groups
title_full Association between smoking status and health-related quality of life: a study on differences among age groups
title_fullStr Association between smoking status and health-related quality of life: a study on differences among age groups
title_full_unstemmed Association between smoking status and health-related quality of life: a study on differences among age groups
title_short Association between smoking status and health-related quality of life: a study on differences among age groups
title_sort association between smoking status and health related quality of life a study on differences among age groups
topic smoking status
EQ-5D-5L utility index
HRQOL
EQ-VAS
multiperson group
url https://www.frontiersin.org/articles/10.3389/fpubh.2024.1508236/full
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