The impact of tobacco retail density on overall survival (OS) in lung cancer survivors.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 12058-12058
Author(s):  
Lawson Eng ◽  
Katrina Hueniken ◽  
Todd A Norwood ◽  
Gerald J Romme ◽  
M. Catherine Brown ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Survivors ◽  
Smoking Status ◽  
Smoking History ◽  
Lung Cancer Patients ◽  
Outlet Density ◽  
Cox Proportional Hazard Models ◽  
Stage 1 ◽  
The Impact

12058 Background: Continued smoking after a cancer diagnosis is associated with poorer outcomes. We previously identified that tobacco retail outlet density is negatively associated with cessation in lung cancer survivors (ASCO 2019). However, the impact of tobacco retail density on survival has not been evaluated. We evaluated the impact of tobacco retail density on OS in lung cancer patients (pts). Methods: Lung cancer pts diagnosed from 2009-2012 were recruited at diagnosis and completed a baseline questionnaire on their socio-demographics, ECOG and smoking history. Clinicopathologic data including stage, histology and OS data were collected. Validated tobacco retail location data obtained from Ministry of Health and pt home addresses were geocoded using ArcGIS 10.6.1, which calculated tobacco outlet density within 250 meters (m) and 500m from pts. Multivariable Cox proportional hazard models evaluated the impact of tobacco outlet density on OS adjusted for significant clinicodemographic covariates. Results: Among 1411 pts, median age 66, 53% female, 8% small cell/56% adenocarcinoma/17% squamous/19% other, 28% stage 1/9% stage 2/20% stage 3/35% stage 4, 38% were current smokers at diagnosis and 40% were ex-smokers; median OS was 24 months. On average, there was one vendor (range 0-23) within 250m and four vendors (range 0-44) within 500m from pts; 33% and 60% of pts lived within 250m and 500m from at least one vendor respectively. The final baseline multivariable model consisted of age, gender, stage, smoking status, ECOG and neighbourhood marginalization index ( P< 0.05). Among all pts, not living within 250m to an outlet improved OS (aHR 0.84 [0.72-0.97] P= 0.02). Living near more outlets within 250 m (aHR 1.03 per outlet [1.00-1.05] P= 0.03) or 500 m (aHR 1.01 per outlet [1.00-1.02] P= 0.04) worsened OS. Subgroup analysis based on smoking status at diagnosis, identified that among current smokers, not living within 250m to an outlet improved OS (aHR 0.76 [0.60-0.97] P= 0.03), and among ex-smokers, living near more outlets within 500 m worsened OS (aHR 1.02 per outlet [0.99-1.03] P= 0.07); other associations showed similar directionality. Among 135 current smokers at diagnosis with follow-up smoking status, not living within 250m to an outlet continued to show a trend towards improved OS (aHR 0.57 [0.31-1.03] P= 0.06), after also adjusting for follow-up smoking status. Conclusions: Living near a greater density of tobacco outlets is associated with poorer OS among lung cancer pts. Reducing the density of tobacco outlets may be a strategy that can help improve lung cancer pt outcomes.

Second-Hand Smoke As a Predictor of Smoking Cessation Among Lung Cancer Survivors

2014 ◽  
Vol 32 (6) ◽  
pp. 564-570 ◽  
Author(s):  
Lawson Eng ◽  
Jie Su ◽  
Xin Qiu ◽  
Prakruthi R. Palepu ◽  
Henrique Hon ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Smoking Cessation ◽  
Cancer Survivors ◽  
Second Hand Smoke ◽  
Proportional Hazard ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Models ◽  
Peer Smoking ◽  
After Cancer

Purpose Second-hand smoke (SHS; ie, exposure to smoking of friends and spouses in the household) reduces the likelihood of smoking cessation in noncancer populations. We assessed whether SHS is associated with cessation rates in lung cancer survivors. Patients and Methods Patients with lung cancer were recruited from Princess Margaret Cancer Centre, Toronto, ON, Canada. Multivariable logistic regression and Cox proportional hazard models evaluated the association of sociodemographics, clinicopathologic variables, and SHS with either smoking cessation or time to quitting. Results In all, 721 patients completed baseline and follow-up questionnaires with a mean follow-up time of 54 months. Of the 242 current smokers at diagnosis, 136 (56%) had quit 1 year after diagnosis. Exposure to smoking at home (adjusted odds ratio [aOR], 6.18; 95% CI, 2.83 to 13.5; P < .001), spousal smoking (aOR, 6.01; 95% CI, 2.63 to 13.8; P < .001), and peer smoking (aOR, 2.49; 95% CI, 1.33 to 4.66; P = .0043) were each associated with decreased rates of cessation. Individuals exposed to smoking in all three settings had the lowest chances of quitting (aOR, 9.57; 95% CI, 2.50 to 36.64; P < .001). Results were similar in time-to-quitting analysis, in which 68% of patients who eventually quit did so within 6 months after cancer diagnosis. Subgroup analysis revealed similar associations across early- and late-stage patients and between sexes. Conclusion SHS is an important factor associated with smoking cessation in lung cancer survivors of all stages and should be a key consideration when developing smoking cessation programs for patients with lung cancer.

scholarly journals A5-04: The impact of EGFR mutation and smoking status on non-small-cell lung cancer patients treated with geftinib

2007 ◽  
Vol 2 (8) ◽  
pp. S324 ◽  
Author(s):  
Shinichi Toyooka ◽  
Toshimi Takano ◽  
Takayuki Kosaka ◽  
Shuji Ichihara ◽  
Yoshiro Fujiwara ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Egfr Mutation ◽  
Smoking Status ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
The Impact

scholarly journals Smoking Cessation After Stroke: Education and its Effect on Behavior

Stroke ◽  
2001 ◽  
Vol 32 (suppl_1) ◽  
pp. 328-328
Author(s):  
Laura R Sauerbeck ◽  
Jane C Khoury ◽  
Daniel Woo ◽  
Brett M Kissela ◽  
Charles J Moomaw ◽  
...  
Keyword(s):  
Risk Factor ◽  
Smoking Status ◽  
Smoking Behavior ◽  
Smoking History ◽  
Stroke Patients ◽  
Current Smoking Status ◽  
Quit Smoking ◽  
Life Threatening ◽  
The Impact

69 Background and Purpose: Smoking is a strong independent environmental risk factor for stroke. We sought to prospectively examine the impact of the diagnosis of stroke on smoking behavior at three months. Design : Patients admitted to 17 hospitals in the Greater Cincinnati area with a confirmed diagnosis of stroke were interviewed in the acute period after their event. A standardized questionnaire was utilized to collect detailed smoking history. Risk factor reduction was discussed with the patient and/or family members and printed risk reduction information was provided. Patients or their proxies were then contacted at three months and current smoking status was recorded. Results: Of 365 stroke patients, 99 were current smokers at baseline. There were no differences between the smokers and the non-smokers based on gender, race, age, and education. At three months, 44% of the baseline smokers had quit smoking (p<0.001), and the overall amount of daily cigarette use had decreased (p<0.001). Factors independently associated with reduction of smoking were white race(OR=2.3, 95% CI 1.0–5.5) and male gender (OR= 2.2, 95% CI 1.0–5.2). Conclusions: After a stroke, patients are motivated to change smoking behavior, as has been found with other life threatening diagnoses. Longer follow-up is needed to see if this behavior continues.

scholarly journals A cross sectional study to determine the prevalence of cough and its impact in patients with lung cancer: a patient unmet need

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Amélie Harle ◽  
Alex Molassiotis ◽  
Oliver Buffin ◽  
Jack Burnham ◽  
Jaclyn Smith ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Smoking Status ◽  
Unmet Need ◽  
Cross Sectional Study ◽  
Common Symptom ◽  
Sectional Study ◽  
Cross Sectional ◽  
Lung Cancer Patients ◽  
The Impact

Abstract Background There is absence of literature related to cough prevalence and its characteristics in lung cancer patients, with information deriving only from broader symptoms occurrence studies. The aims of this study were to provide a snapshot of the prevalence of all-cause-cough in lung cancer patients and to characterise cough in terms of its impact and severity. Methods A cross-sectional study recruiting consecutive lung cancer patients over a pre-defined period of time and using cough-specific validated tools in a tertiary referral centre in the UK, including a cough severity VAS and the Manchester Cough in Lung Cancer scale (MCLCS). Results Data was collected from 202 patients. All-cause cough prevalence was 57% (through VAS) both in the screened (N = 223) and research (N = 202) population or 67% (through the MCLCS), and cough severity was moderate at a mean of 32 mm (in a 100 mm VAS). Age, sex, smoking status, lung cancer histology, stage and comorbidities were not associated with cough prevalence. The only variable associated with lower cough reports was being ‘on anticancer treatment’; fewer patients on treatment reported a cough (40%) compared to those off treatment (54%) (p = 0.04). The impact of cough (as measured by MCLCS) was also significant (mean score = 22). About 18% of patients felt moderate/severe distress from their cough and about 15% often or always reported disturbed sleep due to coughing. Half the patients felt their cough warranted treatment. Conclusions Cough is a common symptom in lung cancer with considerable impact on patients’ lives. Cough presence and severity should regularly be assessed in clinical practice. There is an urgent need to focus on developing more potent antitussive treatments and improve the management of this complex and distressing symptom.

scholarly journals The Fact of Return to Work in Cervical Cancer Survivors and the Impact of Survival Rate: An 11-Year Follow-Up Study

2021 ◽  
Vol 18 (20) ◽  
pp. 10703
Author(s):  
Yu-Shan Sun ◽  
Wei-Liang Chen ◽  
Wei-Te Wu ◽  
Chung-Ching Wang
Keyword(s):  
Cervical Cancer ◽  
Return To Work ◽  
Cancer Survivors ◽  
Research Database ◽  
Cox Proportional Hazard ◽  
All Cause Mortality ◽  
Cox Proportional Hazard Models ◽  
Returning To Work ◽  
The Impact

The aim of the current cohort study was to explore the relationship between return to work (RTW) after cervical cancer treatment and different medical and occupational covariates. We also investigated the effect of RTW on all-cause mortality and survival outcomes of cervical cancer survivors. Data were collected between 2004 and 2015 from the database of the Taiwan Cancer Registry, Labor Insurance Database, and National Health Insurance Research Database. The associations between independent variables and RTW were analyzed by Cox proportional hazard models. A total of 4945 workers (82.3%) who returned to work within 5 years after being diagnosed with cervical cancer. Patients who underwent surgical treatment were more likely to RTW by the 5th year compared to other groups, with a hazard ratio (HR) of 1.21 (95% CI: 1.01~1.44). Small company size and a monthly income greater than NT 38,200 were inversely associated with RTW (HR = 0.91, 95% CI: 0.84~0.98 and HR = 0.48, 95% CI: 0.44~0.53). Furthermore, RTW showed a statistically significant decrease in the risk of all-cause mortality in the fully adjusted HR, (HR = 0.42, p < 0.001). Some medical and occupational factors are associated with RTW in cervical cancer survivors. Returning to work may have a beneficial effect on the survival of patients with cervical cancer.

Implications of smoking for quality of life and illness perceptions of lung cancer patients.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 6113-6113
Author(s):  
Sarah Danson ◽  
Christine Rowland ◽  
Christine Eiser ◽  
Richard Rowe ◽  
Sue Ellis ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Lung Cancer ◽  
Cancer Patients ◽  
Illness Perceptions ◽  
Smoking Status ◽  
Smoking History ◽  
Treatment Needs ◽  
Lung Cancer Patients ◽  
Former Smokers

6113 Background: Adverse publicity about smoking may lead to feelings of guilt among lung cancer patients or pessimism about their future, potentially compromising health-related quality of life (QoL) and adherence with medical advice. QoL is an important outcome in clinical trials, particularly where survival rates are low. We aim to compare QoL and illness perceptions of lung cancer patients depending on smoking history. Methods: Clinical data, measures of QoL (EORTC-QLQ-C30+LC13) and illness perceptions (Brief IPQ – includes items to assess perceived severity, causality, timeline, understanding, emotional impact, and control over illness) were completed by 190 newly diagnosed lung cancer patients (Non-small cell: 75%; Mean age: 68 years, range: 48-85 years; 58% males). Of these, 24% were current smokers, 69% former smokers, and 7% never smoked. Results: Although overall QoL was similar between the three smoker groups, there was a significant effect of smoking status on QoL subscale emotional function (EF)(F(2,168)=4.08,p=.019). Those who never smoked had significantly higher EF than current smokers (p=.03). There was also a significant effect of smoking history on cough (F(2,166);=5.40 ,p=.005) with smokers reporting significantly greater levels than former smokers (p=.004). Smokers were more likely than former smokers (p=.015) to attribute their lung cancer to smoking (F(2,161)=16.49,p<.000). Furthermore, there was a significant effect of smoking on the perceived timeline of illness (F(2,144)=3.33,p=.039), with smokers being more pessimistic about this than former smokers (p=.043). Conclusions: These findings have implications for planning the care of lung cancer patients. In addition to the different treatment needs of smokers and former smokers, smokers may need greater support to cope with the emotional effects of their illness. Our findings suggest that smokers blame their illness on their own behaviour, and have a more pessimistic view of likely survival time, so they may need more encouragement to accept life-prolonging treatments. These results may also inform tailored smoking-cessation advice.

Brain metastasis in a series of NSCLC: Egyptian experience.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e18001-e18001
Author(s):  
Salah Eldeen Elmesidy ◽  
Mahmoud Abdelsalam ◽  
Husam Zawam
Keyword(s):  
Lung Cancer ◽  
Brain Metastasis ◽  
Brain Metastases ◽  
Cancer Patients ◽  
Univariate Analysis ◽  
Developing Brain ◽  
Smoking History ◽  
Lung Cancer Patients ◽  
Significant Difference

e18001 Background: Incidence of cerebral metastasis is increasing among lung cancer patients. Many factors have been reported associated with increase risk of brain metastasis. The aim of this retrospective analysis is to investigate the predictive factors for the development of brain metastasis in lung cancer patients. Methods: We retrospectively analyzed histologically proven lung cancer patients radiologically diagnosed of having brain metastases who presented to Kasr Al-Eini Center for Oncology (NEMROCK) in the period from 2004 till 2010, with follow up period of 6 months at least. The following factors were analyzed: age, gender, PS, smoking history, tumor size & grade preceding development of brain metastasis. Results: Our study included 403 patients. 67 patients (16.6%) experienced brain metastasis during the course of their disease. 40 (10%) patients had brain metastasis among other sites of distant spread at first presentation which represent 88.9% of patients presented with metastatic disease. In a median follow-up of 17.1 months (6-77) the time to develop brain metastasis (TTBM) for the whole group was 5 months (range 2-22 months) (95% CI : 4.3-7.7). The most important factor affecting the TTBM was the use of chemotherapy before developing brain metastasis with a median TTBM of 5.9 months (95%CI : 3.2-6.8) among those who received chemotherapy compared to 2 months among the patients who didn't receive chemotherapy (P= <0.0001). The second factor was PS at time of initial diagnosis (P= 0.027). The median OS after brain metastasis was 6 months (95% CI : 4.26-7.74). On univariate analysis, PS and use of chemotherapy after developing brain metastases showed statistically significant difference affecting OS. Conclusions: We concluded that PS as well as use of chemotherapy are the 2 main factors associated with shorter time to develop brain metastasis. PS and use of chemotherapy after developing brain metastases showed longer OS after developing brain metastases. Keywords: NSCLC, Brain metastasis, Egypt

Social environment as a predictor of smoking cessation and recidivism in lung cancer survivors.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 9032-9032
Author(s):  
Lawson Eng ◽  
Jie Su ◽  
Prakruthi R. Palepu ◽  
Henrique Hon ◽  
Ehab Fadhel ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Smoking Cessation ◽  
Cancer Patients ◽  
Social Environment ◽  
Smoking History ◽  
Recidivism Rates ◽  
Lung Cancer Patients ◽  
Never Smokers ◽  
At Home

9032 Background: Smoking during cancer treatment negatively impacts treatment, survival and quality of life. Lung cancer patients with a smoking history often continue to smoke; some ex-smokers re-start after diagnosis. Social environment impacts cessation and recidivism rates in non-cancer patients. We assessed whether the same influences occur among lung cancer patients. Methods: Lung cancer patients, recruited from Princess Margaret Hospital, completed a baseline questionnaire about their demographics and smoking history (at diagnosis). A follow-up questionnaire was administered at a median of two years, assessing changes in smoking habits, exposure at home/work/among friends, healthcare use, social support and alcohol use since diagnosis. The relationship between each variable with cessation/recidivism was analyzed. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated. Results: 478 patients completed both questionnaires. Of the 100 current smokers at diagnosis; 52 quit by the time of the follow-up questionnaire. Among 294 ex-smokers, 15 started to smoke after diagnosis. None of the 84 never smokers at baseline started to smoke after diagnosis. Exposure to smoking at home was associated with continued smoking and relapse (OR=5.1, 95% CI: 1.8–14.3, p=0.001; and OR=3.9, 95% CI: 0.8–14.4, p=0.04, respectively). Specifically, spousal smoking was associated with both continued smoking (OR=7.3, 95% CI: 2.4–21.7, p=2.0E-04) and recidivism (OR=3.7, 95% CI: 0.6–16.6, p=0.08). Having more than a few friends who smoke is associated with continued smoking (OR=3.5, 95% CI: 1.4–8.7, p=0.005) and relapse (OR=4.8, 95% CI: 1.5–15.0, p=0.004). Not completing high school was also associated with continued smoking (OR=3.0, 95% CI: 1.2–7.6, p=0.02). Multivariate analysis identified spousal smoking as the major single predictor of continued smoking (OR=8.8, 95% CI: 2.2–34.8, p=0.002). Conclusions: Smoking cessation programs for lung cancer patients should not only target the patient but also include the immediate family, consider a patient’s peers and be tailored to the patient’s education level. Involvement of the immediate family and consideration of peers may help prevent smoking relapse.

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