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Zhu L, Qiu Y, Zhong R, Xie J, Hu Y, Yu X, Chang X, Wang W, Zhang L, Chen O, Cao H, Zhu H, Zou Y. Baseline characteristics and the factors influencing successful smoking cessation: A comparison between a WeChat smoking cessation mini-program and an offline smoking cessation clinic. Tob Induc Dis 2023; 21:154. [PMID: 38026499 PMCID: PMC10664087 DOI: 10.18332/tid/174491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/18/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023] Open
Abstract
INTRODUCTION Smoking cessation (SC) clinics are a professional SC services in China. However, studies comparing the characteristics and SC rates of smoking populations in SC clinics with those using mobile SC programs are limited. We compared smokers' characteristics, 3-month SC rates, and the factors influencing 3-month SC success, between a large hospital SC clinic and a WeChat SC mini-program. METHODS Between January and November 2021, 384 participants voluntarily enrolled in either the hospital SC clinic (Group A: n=243) or the WeChat SC mini-program (Group B: n=141). Both groups underwent a 3-month SC intervention, and their SC status was monitored at 24 hours, 1 week, 1 month, and 3 months after quitting. SC rate was defined as the self-reported rate of continuous SC. RESULTS The 3-month SC rate was higher in Group A (42.4%) than in Group B (24.8%). Participants with middle school education had a lower likelihood of SC success than those with primary school or lower (p=0.014). Employees in the enterprise/business/services industries were more likely to have SC success than farmers (p=0.013). Participants with SC difficulty scores of 0-60 were more successful than those with scores >60 (p=0.001, p=0.000, respectively). Participants who quit smoking due to their illness, or other reasons, had a higher likelihood of SC success than those who quit due to concerns about their own and their family's health (p=0.006, p=0.098, respectively). While the likelihood of SC success was lower in those who quit because of the influence of their environment than in those who quit due to concerns about their own and their family's health (p=0.057). CONCLUSIONS Both SC clinics and WeChat SC mini-programs achieved satisfactory SC rates. The high accessibility of mobile SC platforms, which save time spent on transportation and medical visits, renders them worth promoting and publicizing as additional SC options for smokers, particularly young smokers.
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Affiliation(s)
- Lei Zhu
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- School of Nursing, Hunan University of Chinese Medicine, Changsha, China
| | - Yanfang Qiu
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Rui Zhong
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Jianghua Xie
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Xiangya Hospital, Central South University, Changsha, China
| | - Yina Hu
- School of Nursing and Health Management, Wuhan Donghu University, Wuhan, China
| | - Xinhua Yu
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Xiaochang Chang
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Wei Wang
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Lemeng Zhang
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Ouying Chen
- School of Nursing, Hunan University of Chinese Medicine, Changsha, China
| | - Hui Cao
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Haidong Zhu
- Hunan Yixuan Technology Co., LTD, Changsha, China
| | - Yanhui Zou
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
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Kawai H, Kondo J, Kuwaki K, Hayashibara M, Nakamura A, Sato N, Fujii M, Kato M, Ohara T, Wakimoto N, Honiden M, Takata S. Association of depression and smoking cessation: outcomes of an 18-year retrospective cohort study. J Addict Dis 2023:1-9. [PMID: 37850830 DOI: 10.1080/10550887.2023.2270369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
BACKGROUND Depression is frequently associated with unsuccessful smoking cessation. OBJECTIVE In this study, we investigated the impact of depression history on smoking cessation success in a clinical setting. METHODS This retrospective study included 726 patients who visited our smoking cessation clinic between January 1, 2001, and December 31, 2018. Kaplan-Meier analyses and Cox proportional hazards regression models were used to perform univariate and multivariate analyses of smoking cessation success factors. RESULTS Among the 726 patients, 76 had a history of depression and demonstrated significantly lower 12-week quit rate compared to those without (33.6% vs. 69.6%, p < .001). Multivariate Cox analysis revealed a significant association between abstinence rate and history of depression (hazard ratio 2.251, 95% CI 1.505-3.315, p < .001), history of schizophrenia (hazard ratio 2.716, 95% CI 1.427-4.840, p = .003), and Fagerström Nicotine Dependence Test scores (hazard ratio 1.519, 95% CI 1.053-2.197, p = .025). CONCLUSIONS Our findings suggested that a history of depression is a significant prognostic factor for smoking cessation, underscoring the need for targeted interventions for patients with a history of depression. The findings of this study are subject to potential selection bias due to recruitment from a single hospital, which may limit the generalizability of our results. This study highlights the necessity for novel, specialized smoking cessation therapies to support patients with a history of depression in their cessation journey.
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Affiliation(s)
- Haruyuki Kawai
- Department of Internal Medicine, Okayama Saiseikai General Hospital, Okayama City, Japan
| | - Jun Kondo
- Department of Internal Medicine, Okayama Saiseikai General Hospital, Okayama City, Japan
| | - Kenji Kuwaki
- Department of Internal Medicine, Okayama Saiseikai General Hospital, Okayama City, Japan
| | - Maiko Hayashibara
- Department of Patient Support Center, Okayama Saiseikai General Hospital, Okayama City, Japan
| | - Aguri Nakamura
- Health Screening Center, Okayama Saiseikai Health Checkup Center, Okayama City, Japan
| | - Naoko Sato
- Health Screening Center, Okayama Saiseikai Health Checkup Center, Okayama City, Japan
| | - Mari Fujii
- Health Screening Center, Okayama Saiseikai Health Checkup Center, Okayama City, Japan
| | - Mihoko Kato
- Health Screening Center, Okayama Saiseikai Health Checkup Center, Okayama City, Japan
| | - Tomomi Ohara
- Health Screening Center, Okayama Saiseikai Health Checkup Center, Okayama City, Japan
| | - Naomi Wakimoto
- Health Screening Center, Okayama Saiseikai Health Checkup Center, Okayama City, Japan
| | - Mika Honiden
- Health Screening Center, Okayama Saiseikai Health Checkup Center, Okayama City, Japan
| | - Shinji Takata
- Department of Internal Medicine, Saiseikai Kibi Hospital, Okayama City, Japan
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Zhu L, Zhong R, Qiu Y, Xie J, Hu Y, Yu X, Chang X, Wang W, Zhang L, Chen O, Cao H, Zou Y. Comparison of the baseline characteristics and influencing factors of successful smoking cessation before and during the coronavirus disease pandemic. Tob Induc Dis 2023; 21:43. [PMID: 36969983 PMCID: PMC10037426 DOI: 10.18332/tid/159237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 01/12/2023] [Accepted: 01/15/2023] [Indexed: 03/26/2023] Open
Abstract
INTRODUCTION Travel and living environment restrictions, which may have positive or negative effects on smoking-related behaviors, were implemented to limit the COVID-19 pandemic. This study aimed to compare the baseline clinical characteristics and smoking cessation (SC) rate at 3 months of patients in an SC clinic in Hunan Province, China before and during the COVID-19 pandemic and identify influencing factors of successful SC. METHODS Healthy patients at the SC clinic aged ≥18 years before the COVID-19 pandemic and during the COVID-19 pandemic were divided into groups A and B, respectively. The two groups’ demographic data and smoking characteristics were compared, and SC interventions were applied by the same medical staff team through telephone follow-up and counselling during the SC procedure. RESULTS Groups A and B included 306 and 212 patients, respectively, with no significant differences in demographic data. The SC rates of group A (pre COVID-19) and group B (during the COVID-19 pandemic) at 3 months were 23.5% and 30.7%, respectively, after the first SC visit. Those who chose to quit immediately or within 7 days were more successful than those who did not choose a quit date (p=0.002, p=0.000). Patients who learned about the SC clinic via network resources and other methods were more likely to succeed than those who learned about the clinic from their doctor or hospital publications (p=0.064, p=0.050). CONCLUSIONS Planning to quit smoking immediately or within 7 days of visiting the SC clinic and learning about the SC clinic via the network media or other methods improved the likelihood of successful SC. SC clinics and the harm of tobacco should be promoted via network media. During consultation, the smokers should be encouraged to quit smoking immediately and establish an SC plan, which would help them to quit smoking.
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Affiliation(s)
- Lei Zhu
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- School of Nursing, Hunan University of Chinese Medicine, Changsha, China
| | - Rui Zhong
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yanfang Qiu
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Jianghua Xie
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- School of Nursing, Hunan University of Chinese Medicine, Changsha, China
- Xiangya Hospital, Central South University, Changsha, China
| | - Yina Hu
- School of Nursing and Health Management, Wuhan Donghu University, Wuhan, China
| | - Xinhua Yu
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Xiaochang Chang
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Wei Wang
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Lemeng Zhang
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Ouying Chen
- School of Nursing, Hunan University of Chinese Medicine, Changsha, China
| | - Hui Cao
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yanhui Zou
- Hunan Cancer hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
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Lin B, Xie L, Xie X, Yan Y, Zhang L, Xiao L. Predictors for quitting smoking in smoking cessation clinics among female smokers in China. Tob Induc Dis 2023; 21:26. [PMID: 36819959 PMCID: PMC9936604 DOI: 10.18332/tid/159132] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 12/26/2022] [Accepted: 01/09/2023] [Indexed: 02/19/2023] Open
Abstract
INTRODUCTION The number of cessation clinics in China have been increasing ever since the Chinese government supported the establishment of smoking cessation clinics (SCCs) in each province in 2014. Many studies have examined smoking cessation behaviors among male smokers, but few of female smokers. This study aimed to understand female smokers' quitting behaviors in SCCs and identify predictors of successful cessation. METHODS This study used data of the SCCs Platform in China from 2018 to 2020. The self-reported 7-day point prevalence of abstinence rate (PPAR) at 1 month and at 3 months follow-up and the continuous abstinence rate (CAR) at 3 months follow-up are reported based on smokers' characteristics and intention to treat analysis. A multiple logistic regression model was used to identify predictors of continuous abstinence at 3 months follow-up. RESULTS The 7-day PPAR of female outpatients in SCCs was 29.20% at 1 month follow-up and 28.36% at 3 months follow-up. The CAR at 3 months follow-up was 19.88%. Female smokers who were prepared to quit within 7 days (AOR=2.86; 95% CI: 1.53-5.32), today (AOR=4.01; 95% CI: 2.35-6.85), had started to quit (AOR=7.11; 95% CI: 4.12-12.27), and used a combination of counseling and drugs (AOR=2.41; 95% CI: 1.73-3.35) were more likely to quit smoking. Associated with lower quitting rates were: living in the central region of China (AOR=0.47; 95% CI: 0.31-0.73) and the west region (AOR=0.48; 95% CI: 0.31-0.73); being aged 30-39 years (AOR=0.39; 95% CI: 0.23-0.64), and 40-49 years (AOR=0.41; 95% CI:0.24-0.69); being unemployed (AOR=0.64; 95% CI: 0.45-0.91); having a fair perceived health status at the first visit (AOR=0.65; 95% CI: 0.47-0.91) and a poor one (AOR=0.37; 95% CI: 0.21-0.64); having a moderate nicotine dependence (AOR=0.64; 95% CI: 0.44-0.92) and a severe one (AOR=0.50; 95% CI: 0.34-0.72). CONCLUSIONS In our study, the region of residence, age, employment, perceived health status, Fagerström test for nicotine dependence (FTND), readiness to quit, and intervention model were independent predictors of quitting for female smokers. Improving the motivation to quit, providing intensive psychological interventions and equipping SCCs with cessation medication would assist female smokers to quit.
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Affiliation(s)
- Bingliang Lin
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Li Xie
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Xiaoyun Xie
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yongfu Yan
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Luge Zhang
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Lin Xiao
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
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Qiao K, Liu H, Li X, Jin Q, Wang Y, Gu M, Bai X, Qin T, Yang Y. An intervention study on a hospital-community integrated management model of tobacco dependence based on a community intervention trial. Front Psychiatry 2023; 14:1029640. [PMID: 36960455 PMCID: PMC10027698 DOI: 10.3389/fpsyt.2023.1029640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 02/20/2023] [Indexed: 03/09/2023] Open
Abstract
Objective To assess the effect of the hospital-community integrated management model of tobacco dependence on smoking cessation among community residents compared with a brief smoking cessation intervention. Methods Our study recruited 651 smokers who were willing to quit in 19 communities in Beijing and conducted a 6-month smoking cessation intervention. The control group receiving a brief smoking cessation intervention and the pilot group receiving an integrated smoking cessation intervention. Intention-to-treat analysis (ITT) and generalized estimating equations were used to assess the effects of the integrated intervention and smoking cessation medication on average number of cigarettes smoked per day (ACSD) and smoking cessation rate. Results Simple effects analysis showed that smokers taking medication had significantly lower ACSD than those not taking medication at follow-up, the control group reduced smoking by 3.270, 4.830, and 4.760 cigarettes in the first, third and sixth months, respectively, while the pilot group reduced by 6.230, 5.820, and 4.100 cigarettes. The integrated intervention significantly reduced ACSD among medication-taking smokers at 1st month (reduced by 3.420, P < 0.05) and 3rd month (reduced by 2.050, P < 0.05), but had no significant effect among non-medication taking smokers. The 3rd month smoking cessation rate among medication-taking smokers was 27.0%, which was significantly higher than the smokers with brief smoking cessation intervention. Conclusion The integrated hospital-community intervention can significantly promote smoking cessation among smokers taking medication, but the issue of payment for medication and additional labor compensation for medical staff should be addressed before its popularization.
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Affiliation(s)
- Kun Qiao
- School of Public Health, Capital Medical University, Beijing, China
| | - Han Liu
- Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xingming Li
- School of Public Health, Capital Medical University, Beijing, China
- *Correspondence: Xingming Li,
| | - Qianying Jin
- Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yao Wang
- School of Public Health, Capital Medical University, Beijing, China
| | - Mingyu Gu
- School of Public Health, Capital Medical University, Beijing, China
| | - Xinyuan Bai
- School of Public Health, Capital Medical University, Beijing, China
| | - Tingting Qin
- School of Public Health, Capital Medical University, Beijing, China
| | - Yutong Yang
- School of Public Health, Capital Medical University, Beijing, China
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Xie J, Zhong R, Zhu L, Chang X, Chen J, Wang W, Zhang L, Chen O, Yu X, Zou Y, Li Y. Smoking cessation rate and factors affecting the success of quitting in a smoking cessation clinic using telephone follow-up. Tob Induc Dis 2022; 19:99. [PMID: 35002594 PMCID: PMC8686120 DOI: 10.18332/tid/143375] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/27/2021] [Accepted: 10/27/2021] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION China has the largest number of smokers in the world. The great majority of China’s smokers desire to quit smoking (QS); however, the success rate of self-quitting is low. This study investigated the effects of smoking cessation (SC) clinics in a cancer hospital in Hunan province and determined the influencing factors of successful SC. METHODS Smokers were recruited to QS by healthcare workers in the SC clinic from February 2015 to February 2019. SC counseling was provided and telephone follow-up was conducted at 1 week, and at 1, 3 and 6 months. Patients who continued SC during the follow-up period were considered to have QS. RESULTS Of the 344 patients included in this study, 16.3% QS at one week, 26.5% at one month, 27.6% at three months, and 31.7% at six months. Age ≥60 years, previous SC attempts, immediate quit dates, and telephone follow-up times (3–4 calls) were predictive factors for smokers to SC at six months. CONCLUSIONS Age, previous attempts to QS, immediate quit dates and telephone follow-up times were independent predictors of SC success at six months. SC clinics and frequent telephone follow-up improve the success rate of SC, especially in patients who have previously tried to QS or in those who set immediate quit dates.
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Affiliation(s)
- Jianghua Xie
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China.,School of Nursing, Hunan University of Chinese Medicine, Changsha City, China
| | - Rui Zhong
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Lei Zhu
- School of Nursing, Hunan University of Chinese Medicine, Changsha City, China
| | - Xiaochang Chang
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Jianhua Chen
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Wei Wang
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Lemeng Zhang
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Ouying Chen
- School of Nursing, Hunan University of Chinese Medicine, Changsha City, China
| | - Xinhua Yu
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Yanhui Zou
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha City, China
| | - Yanqun Li
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha City, China
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Hu Y, Xie J, Chang X, Chen J, Wang W, Zhang L, Zhong R, Chen O, Yu X, Zou Y. Characteristics and Predictors of Abstinence Among Smokers of a Smoking Cessation Clinic in Hunan China. Front Public Health 2021; 9:615817. [PMID: 33816416 PMCID: PMC8017299 DOI: 10.3389/fpubh.2021.615817] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 02/23/2021] [Indexed: 11/25/2022] Open
Abstract
Background: More than 300 million smokers make China the largest cigarette consumer globally, which is a huge economic burden. Smoking cessation (SC) clinics can offer counseling and follow-up services. The operational experience of SC clinics in China needs to be summarized and improved based on research evidence. Purpose: The objectives of this study were to describe quit rates among attendees of SC clinics in Hunan and assess predictors of successful SC. Methods: The participants in this study were smokers who visited the SC clinic of Hunan Cancer Hospital from February 1, 2015 to September 30, 2018. Individuals who received individual counseling and assessment from the SC clinic staff and were willing to quit smoking were eligible for inclusion. Those with critical illness or cancer were excluded. Application of smoking cessation clinic registration form (unified by Chinese Center for Disease Control and Prevention) was used to assess participants at the consultation. Follow-ups and counseling were performed over telephone at 1 week, 1 month, and 3 months after the initial cessation consultation or in times of need. Successful SC was checked for at 3 months after the start of SC. Results: A total of 328 smokers (mean age 45.67 ± 12.38 years) had participated. The abstinence rate at 3 months was 28.4%. Binary regression analysis revealed significant independent predictors to be the total numbers of SC follow up sessions, previous SC attempts, and participants' decision on when to quit smoking (The relative to quit immediately group, quit within 30 days, quit after 30 days, and undecided quit were less likely to succeed in quitting. while quit within seven days had no statistical significance. Conclusion: SC clinics can achieve a desirably high quit rate. Participant's previous attempts at quitting, three or more follow-ups, and the decision to quit immediately or within seven days were factors helpful in predicting the success of SC.
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Affiliation(s)
- Yina Hu
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Jianghua Xie
- Hunan University of Chinese Medicine, Changsha, China
| | - Xiaochang Chang
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Jianhua Chen
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Wei Wang
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Lemeng Zhang
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Rui Zhong
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Ouying Chen
- Hunan University of Chinese Medicine, Changsha, China
| | - Xinhua Yu
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yanhui Zou
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
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Wu PC, Hsueh KC, Mar GY, Hsueh SC, Tu MS, McRobbie H, Hajek P. Gender Differences in Outcome of an Attempt to Stop Smoking Among Smokers Attending a Smoking Cessation Clinic in Taiwan: 3-Year Follow-Up Study. Eval Health Prof 2015; 39:317-25. [PMID: 26604017 DOI: 10.1177/0163278715616439] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Studies that have examined gender differences in smoking cessation have produced mixed results. The purpose of the study was to examine whether there are gender differences in long-term smoking abstinence rates in smokers treated with nicotine patches at a smoking cessation clinic in Taiwan, where 39% of men and 5% of women smoke. This study included 1,065 smokers, comprising of 940 men and 125 women. Smokers were invited to attend the clinic every 1-2 weeks for a maximum of eight visits over 90 days, where they received prescriptions for nicotine patches, counseling, and educational materials. Participants were contacted by telephone at 1 and 3 years after the first visit and were asked whether they had smoked at all over the past 7 days. The results showed that women were significantly less likely than men to be abstinent at 1 year (adjusted odds ratio [aOR] = 0.64; 95% CI [confidence interval] = [0.41, 0.99]; p = .044) and 3 years (aOR = 0.44; 95% CI = [0.27, 0.74]; p = .02). More effective ways are needed to help female smokers quit in societies where smoking in women is rare and may be associated with social stigma.
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Affiliation(s)
- Pin-Chieh Wu
- Department of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan Department of Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Kuang-Chieh Hsueh
- Department of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan Shu-Zen College of Medicine and Management, Kaohsiung, Taiwan
| | - Guang-Yuan Mar
- Department of Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan Division of Cardiology, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Shu-Chun Hsueh
- Department of Health Business Administration, Meiho University, Pingtung, Taiwan
| | - Ming-Shium Tu
- Department of Family Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Hayden McRobbie
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom
| | - Peter Hajek
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom
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