scholarly journals Determinants of Smoking Status in a Sample of Outpatients Afferent to a Tertiary Referral Hospital

Author(s):  
Alessandro Radaeli ◽  
Matteo Nardin ◽  
Danila Azzolina ◽  
Mario Malerba

The identification of determinants of attempts to quit smoking and quitting smoking success is crucial for effective smoking prevention and/or cessation programs. Thus, here we have conducted a survey to determine the sociodemographic characteristics of tobacco use and the potential determinants of quitting smoking among a population of 140 subjects—101 smokers and 39 ex-smokers—referred to our clinic for respiratory diseases. Subject characteristics included demographic data, employment and education status, respiratory disease family history, smoking habits, life habits, diet, alcohol intake, and physical activity. In comparison with former smokers, active smokers were younger, lived with at least one smoking family member, and were more frequently exposed to passive smoke. They also displayed a higher coffee consumption, a higher frequency of in-between-meal snacks, and a lower chronic obstructive pulmonary disease (COPD) prevalence. In comparison with subjects who had never attempted to quit smoking, individuals who had attempted to quit smoking were younger, had a lower pack-year median, consumed a higher amount of coffee and alcohol, and conducted regular physical activity. Determinants of successful smoking cessation were older age, lower passive smoking exposure and daily coffee intake, and COPD diagnosis. Overall, our findings underscore the importance of health education in fostering successful smoking cessation in respiratory disease patients.

2020 ◽  
Vol 42 (1) ◽  
Author(s):  
Yuya Kawasaki ◽  
Yun-Shan Li ◽  
Yuko Ootsuyama ◽  
Kazuhiko Nagata ◽  
Hiroshi Yamato ◽  
...  

Abstract Introduction Urinary nicotine and cotinine levels are often measured as biomarkers for tobacco smoke exposure. However, these biomarkers are not appropriate to evaluate the effects of quitting smoking for several days, because of their short half-lives. In this study, we focused on the changes in the urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) levels of 55 patients in a smoking cessation program, because of the long half-life. At the same time, urinary 7-methylguanine (m7Gua) and 8-hydroxy-2′-deoxyguanosine (8-OHdG), as DNA damage markers of cigarette smoking, were also measured. Results In the subjects who completed the quit-smoking program (18 subjects out of 55), the urinary nicotine and cotinine levels decreased to 1.7 and 0.2% at 8 weeks after the first visit to the clinic. By contrast, the NNAL levels decreased to 12.3% at 8 weeks after quitting smoking. During the same period, the urinary m7Gua levels significantly decreased, from 27.32 μg/mg creatinine to 14.17 μg/mg creatinine by the elimination of subjects who showed increased levels of NNAL during the smoking cessation program. The 8-OHdG levels were also reduced within the same period, but were not significantly different. From the all data analysis, the urinary levels of cotinine and NNAL positively correlated with the level of m7Gua. Conclusions NNAL may be an appropriate exposure marker for evaluating the smoking status of patients in a smoking cessation program. The urinary cotinine and NNAL levels positively correlated with the m7Gua levels.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yuji Higuchi ◽  
Masaki Fujiwara ◽  
Naoki Nakaya ◽  
Maiko Fujimori ◽  
Chinatsu Hayashibara ◽  
...  

Abstract Background We performed a follow up study about willingness and behaviors to quit smoking among smokers with schizophrenia in Japan. Methods Participants were outpatients with schizophrenia aged 20–69 years who had been visiting the hospital for ≥1 year as of April 1, 2016, and had visited the hospital more than once in the previous 6 months. A baseline survey on smoking behaviors including current smoking status and smoking cessation stage, was administered in 420 participants that were randomly extracted from a patient pool (n = 680) in 2016, and a follow-up survey was administered in 2017. We calculated the distribution and change in smoking cessation stage, number of smokers and nonsmokers after 1 year, and quitting rate from a naturalistic 1-year smoking-cessation follow up. Results The number of baseline respondents was 350; 113 current smokers and 68 former smokers. Among the 113 current smokers, 104 (92.0%) were followed for 1 year, 79 (70.0%) were interested in smoking cessation, and only 7 had received smoking cessation treatments at baseline. Among the tracked 104 participants, only 6 (5.8%) stopped smoking after 1 year. Among the 25 participants who had intentions to quit smoking within 6 months at baseline, 6 (24.0%) maintained their intention to quit smoking for 1 year, and 16 (64.0%) did not maintain their intention to quit smoking. Conclusions Our findings showed that many smokers with schizophrenia were interested in quitting smoking, but few patients received treatment and actually quit smoking. Timely intervention, including the option to receive smoking cessation treatment, is necessary for those patients with schizophrenia who smoke. Trial registration UMIN Clinical Trials Registry (UMIN000023874, registered on August 31, 2016).


Author(s):  
Spencer Kaspick ◽  
BCIT School of Health Sciences, Environmental Health ◽  
Helen Heacock

  Background: Electronic cigarettes are a widely-used, yet still emerging technology. As such, there is relatively little data regarding the reasons why people take up their use. Many claim to use them as a smoking-cessation method. Concern exists that experimentation in non-smokers may lead to nicotine addiction and subsequent smoking. The purpose of this study was to determine the primary reasons for the commencement of electronic cigarette use, and to suggest way in which these findings could affect current policies and regulations pertaining to electronic cigarettes. Methods: A survey examining electronic cigarette use was prepared. The survey contained questions respecting primary motivation for use, frequency of use, present and former smoking status as well as agreement with common perception about electronic cigarettes. Basic demographic information was also collected. The survey was posted to “www.reddit.com” and was accessible to users who used electronic cigarettes themselves via the “/r/electronic_cigarettes” sub-Reddit for a period of five days. Once responses were collected, Chi-square tests of independence were run to determine if any associations existed. Responses were also compared to previous studies of a similar nature to see if any similarities existed. Results: In total, 155 responses were received. The majority of the respondents were males (89.7%) between the ages of 19 and 28 (47.7%). 30.32% listed their occupation as “student”, and almost three-quarters of the respondents had some post-secondary experience. 78.1% of respondents were former smokers, and 61.3% identified their primary reason for electronic cigarette use as “to quit smoking.” Chi-squared tests for association between responses yielded statistically-significant associations between being a previous smoker and believing that electronic-cigarettes are healthier than conventional cigarettes, and between gender (specifically being male) and reasons for electronic cigarette use (specifically “to quit smoking”). However, the latter result was possibly skewed by a higher response rate from males as opposed to females. Conclusion: The high proportion of previous smokers among electronic cigarette users suggested that quitting smoking was the most common reason individuals take up electronic cigarette usage. It is therefore suggested that studies be done to determine if their use is less harmful than that of conventional cigarettes, and that existing legislation regarding their use in public be modified in light of this evidence. It is also suggested that they be given consideration as a legitimate means of smoking cessation.  


Author(s):  
Ahmad Salman ◽  
Patrick Doherty

The literature is uncertain about the extent to which those who attend cardiac rehabilitation (CR) gain weight while trying to quit smoking. This study aimed to determine the extent of CR-based smoking cessation provision and whether CR, as delivered in routine practice, is associated with helping patients quit smoking and avoid weight gain. Data from the UK National Audit of Cardiac Rehabilitation database, between April 2013 and March 2016, were used. Smoking status is categorised as smokers and quitters assessed by patient self-report. Outcomes included body weight, blood pressure, depression, and physical activity. A multiple linear regression model was constructed to understand the effect of continuing smoking or quitting smoking on CR outcomes. CR outcome scores were adjusted by the baseline CR score for each characteristic. An e-survey collected information about the smoking cessation support offered to patients attending CR. A total of 2052 smokers (58.59 ± 10.49 years, 73.6% male) and 1238 quitters (57.63 ± 10.36 years, 75.8% male) were analysed. Overall, 92.6% of CR programmes in the United Kingdom (UK) offer smoking cessation support for CR attenders. Quitting smoking during CR was associated with a mean increase in body weight of 0.4 kg, which is much less than seen in systematic reviews. Quitters who attended CR also had better improvements in physical activity status and psychosocial health measures than smokers. As delivered in routine practice, CR programmes in the UK adhere to the guideline recommendations for smoking cessation interventions, help patients quit smoking, and avoid weight gain on completion of CR.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Charlotta H Pisinger ◽  
Ulla Toft ◽  
Torben Jørgensen

Background: Smoking is one of the major risk factors of CVD. It is well-known that smokers increase weight when they quit smoking, and concomitant weight increase after smoking cessation may blunt beneficial effects of smoking cessation on e.g. glucose metabolism. However, not all smokers gain weight. To our knowledge, predictors of weight-loss after smoking cessation have not previously been investigated. Methods: in a large population-based study, the Inter99 study, 2,408 daily smokers were included at baseline. Out of these, 262 attended the five year follow-up and reported that they had not smoked for at least 12 months. Participants completed self-report questionnaires at baseline and follow-up. In multivariable logistic regression analyses we investigated predictors of weight-loss. Results: A total of 17.6% of the quitters had lost weight from baseline to 5 years follow-up. Neither sex, age, number of daily meals, energy intake, dietary quality, physical activity, alcohol consumption, nor change in physical activity or alcohol consumption from baseline to five year follow-up was associated with weight-loss at five year follow-up. Quitters with high education had significantly higher probability of weight-loss compared to quitters with low education (OR=3.88(1.04–14.50), p=0.044). Increasing BMI at baseline increased (OR=1.20(1.06–1.36), p=0.004) and increasing tobacco consumption decreased (OR=0.93(0.87–0.99), p=0.038) the probability of weight-loss. Furthermore, quitters who reported a healthier diet at five-year follow-up than at baseline had increased probability of weight-loss (OR=3.23(1.07–9.82), p=0.038). The mean weight-gain in quitters with normal baseline BMI was 5.66kg (±4.8), quitters who were overweight at baseline gained 5.32kg (±7.0) and quitters who were obese gained 1.98kg (±8.3), p=0.038. Conclusion: Weight-loss after quitting smoking is feasible and was achieved by about two out of ten quitters. High BMI, high education and low tobacco consumption at baseline and change to a healthier diet predicted weight loss in daily smokers who had quit for at least 12 months. Discussion: Obese smokers who had quit had the lowest weight-gain. A reason could be that normal-weight smokers are used to eat whatever they want, whereas obese smokers are used to focus on what and how much they eat. Obese smokers should definitely not be advised against quitting smoking in fear of further weight-gain. The large positive cardiovascular health effects of quitting overshadow the negative health effects of a small weight gain, and this study shows that weight-loss after smoking cessation is feasible, especially in obese smokers.


2020 ◽  
Vol 15 (4) ◽  
pp. 181-188
Author(s):  
Carly S. Priebe ◽  
Kelly Wunderlich ◽  
John Atkinson ◽  
Guy Faulkner

AbstractIntroductionWalk or Run to Quit was a national program targeting smoking cessation through group-based running clinics. Increasing physical activity may facilitate smoking cessation as well as lead to additional health benefits beyond cessation.AimTo evaluate the impact of Walk or Run to Quit over 3 years.MethodsAdult male and female participants (N = 745) looking to quit smoking took part in 156 running-based cessation clinics in 79 locations across Canada. Using a pre-post design, participants completed questionnaires assessing physical activity, running frequency and smoking at the beginning and end of the 10-week program and at 6-months follow-up. Carbon monoxide testing pre- and post- provided an objective indicator of smoking status and coach logs assessed implementation.Results55.0% of program completers achieved 7-day point prevalence (intent-to-treat = 22.1%) and carbon monoxide significantly decreased from weeks 1 to 10 (P < 0.001). There was an increase in physical activity and running from baseline to end-of-program (P's<0.001). At 6-month follow-up, 28.9% of participants contacted self-reported prolonged 6-month abstinence (intent-to-treat = 11.4%) and 35.6% were still running regularly.ConclusionsAlthough attrition was a concern, Walk or Run to Quit demonstrated potential as a scalable behaviour change intervention that targets both cessation and physical activity.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Maria Caterina Grassi ◽  
Guido Alessandri ◽  
Stefania Pasquariello ◽  
Michela Milioni ◽  
Domenico Enea ◽  
...  

The literature documents that personality characteristics are associated with healthy lifestyles, including smoking. Among positive traits, Positivity (POS), defined as a general disposition conducive to facing experience under a positive outlook has shown robust associations with psychological health. Thus, the present study investigated the extent to which POS is able to predict (i) relapse after quitting smoking and (ii) the desire to smoke again. All participants (481) had previously attended a Group Counselling Program (GCP) for Smoking Cessation (from 2005 through 2010). They were contacted through telephone interview. Among participants, 244 were ex-smokers (age: years56.3±10.08, 52% female) and 237 were still-smokers (age: years55.0±9.63; 63.5% female). The association of POS with “craving to smoke” levels was assessed with multivariate linear regression analysis while controlling also for important differences in personality such as conscientiousness and general self-efficacy, as well as for gender and age. Results showed that POS was significantly and negatively associated with smoking status and with craving to smoke. Among covariates (i.e., conscientiousness, generalized self-efficacy), gender was associated with smoking status and with craving to smoke. Altogether these findings corroborate the idea that POS plays a significant role in sustaining individuals' efforts to quit smoking.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260154
Author(s):  
Chikako Nakama ◽  
Takahiro Tabuchi

Heated tobacco products (HTPs) have become popular recently. People with chronic disease, such as diabetes, cardiovascular disease (CVD), chronic obstructive pulmonary disease (COPD) and cancer, should quit smoking for treatment and recurrence of tobacco-related diseases. However, they have difficulty in quitting smoking, and they may start HTPs use to quit smoking. The purpose of this study is to examine the use of HTPs in people with chronic disease. We used data from an internet study, the Japan Society and New Tobacco Internet Survey (JASTIS). We analyzed 9,008 respondents aged 15–73 years in 2019 using logistic regression. Current use of tobacco products was defined as use within the previous 30 days. Prevalence of current HTP use including dual use and dual use with cigarettes was 9.0% and 6.1% respectively in total. By disease: hypertension 10.2% and 7.4%, diabetes 15.9% and 12.3%, CVD 19.2% and 15.7%, COPD 40.5% and 33.3%, and cancer 17.5% and 11.9%. Diabetes, CVD, COPD, and cancer were positively associated with current use of HTPs (odds ratios (ORs) and 95% confidence intervals (CIs): 1.48 (1.06, 2.07), 2.29 (1.38, 3.80), 3.97(1.73, 9.11), and 3.58(1.99, 6.44), respectively) and dual use of cigarettes and HTPs (ORs and 95% CIs: 2.23 (1.61, 3.09), 3.58 (2.29, 5.60), 7.46 (3.76, 14.80), and 2.57 (1.46, 4.55), respectively) after adjusting for confounders. People with chronic disease were more likely to use HTPs and HTPs together with cigarettes. Further research on the smoking situation of HTPs in patients with chronic diseases is necessary.


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 90s-90s
Author(s):  
M. Halligan ◽  
D. Keen

Background: Evidence indicates that smoking cessation improves the effectiveness of treatment and likelihood of survival among all cancer patients, not just those with tobacco-related disease, yet smoking is rarely addressed in oncology practice. Prior to 2016, only 3 provinces in Canada (out of a total of 10 provinces and three territories) reported implementation of smoking cessation for ambulatory cancer patients. Aim: Based on this evidence, the Canadian Partnership Against Cancer (CPAC) implemented a systems change initiative to promote adoption of evidence-based smoking cessation within provincial and territorial cancer systems across Canada. Methods: In 2016, CPAC funded seven provinces and two territories over a 15-month period to plan, implement or evaluate integration of evidence-based smoking cessation for ambulatory cancer patients within cancer systems. Funds were used to plan (2 provinces and 2 territories), implement (3 provinces) or evaluate (2 provinces) systematic, evidence-based approaches to smoking cessation within ambulatory cancer care settings (e.g., establishing routine systems for identification of smoking cancer patients and system to support patients to quit). Funds could not be used for direct service delivery (e.g., cessation counseling). Results: After 15-months of funding from CPAC, 6 provinces reported implementation of smoking cessation for ambulatory cancer patients. The remaining province and 2 territories funded by CPAC reported development of plans for adoption of smoking cessation for cancer patients in the future. Within provinces reporting implementation of smoking cessation for cancer patients, between 65%-97% of ambulatory cancer patients were screened for smoking status; 22%-80% of these patients were offered a referral to cessation services, and 21%-45% of cancer patients accepted a referral. Conclusion: Despite provincial and territorial variations in readiness to uptake evidence-based smoking cessation for cancer patients, CPAC's approach has led to substantial progress in adoption of this approach across Canada. While progress has been made, adoption of smoking cessation and relapse prevention by cancer systems is not yet widespread in Canada. Scale-up to remaining provinces and territory, and spread within existing provinces and territories is required to reach all cancer patients and families who require support to quit smoking. Framing smoking cessation as a therapeutic intervention, not prevention, and a routine part of cancer treatment will be critical for sustainability of this work.


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