scholarly journals Estimation of lifetime cumulative mortality risk of lung cancer by smoking status in Japan

2020 ◽  
Vol 50 (10) ◽  
pp. 1218-1224
Author(s):  
Megumi Hori ◽  
Eiko Saito ◽  
Kota Katanoda ◽  
Shoichiro Tsugane

Abstract The main objective of this study was to estimate the cumulative mortality risk for lung cancer according to smoking status and exposure to secondhand smoke (SHS) in Japan. We applied a life-table method to estimate the cumulative risk. Estimated lifetime cumulative risk for 20-year-old non-smokers, former, and current smokers was 3.2%, 7.6%, and 14.9% for men and 1.9%, 5.6%, and 7.2% for women, respectively. For males, the estimated risk was 3.2% for non-smokers not exposed to SHS and 4.1% for non-smokers exposed to SHS. For females, the estimated risk was 1.9% for non-smokers not exposed to SHS and 2.4% for non-smokers exposed to SHS. Lifetime cumulative mortality risk differed greatly according to smoking status. Moreover, SHS exposure resulted in observable differences in lifetime mortality risk. This study may be useful for the development of tailored prevention programs.

Author(s):  
Jyoti Malhotra ◽  
Paolo Boffetta ◽  
Lorelei Mucci

Lung cancer is the most commonly diagnosed cancer among men in most countries, and is the primary cause of cancer death in men and women. Its epidemic increase in incidence began in the first half of the twentieth century, paralleling the uptake of cigarette smoking that occurred 20 years before. A series of landmark studies beginning in 1950 established tobacco as the primary cause of lung cancer. Current smokers have a 10- to 20-fold higher lung cancer risk compared to never smokers. Important for prevention, former smokers substantially reduce this excess risk 5 years after smoking cessation. Exposure to secondhand smoke, a well-established risk factor for lung cancer, has a 20%–25% higher risk for those exposed. There are several occupational exposures associated with lung cancer, including asbestos. Despite the success in defining lung cancer’s etiology, this highly preventable disease remains among the most common and most lethal cancers globally.


Author(s):  
S. Zhou ◽  
K. Wang

Background: This study aimed to investigate the associations between secondhand smoke exposure and dementia, Alzheimer’s disease (AD) and stroke. Methods: This prospective study analyzed Framingham Offspring (FHS-OS) cohort participants with parents in the original Framingham Heart Study (FHS) cohort with known smoking status during offspring childhood. Surveillance for incident events, including dementia and stroke, among offspring participants exposed to parental smoking up to the age of 18 years commenced at examination 9 through 2014 and continued for approximately 30 years. Results: At baseline, a total of 1683 (56.2%) subjects were not exposed to any secondhand smoke, whereas 670 (22.4%) subjects were exposed to 0-1 packs (20 cigarettes)/day, and 640 (21.4%) were exposed to over 1 pack/day. On follow-up (median: 31 years), 2993 patients developed dementia, including 103 with AD dementia and 315 with stroke. After adjusting for a wide range of established risk factors, participants with the highest exposure to secondhand smoke exhibited increased risks of all dementia, AD dementia and stroke compared with individuals with no exposure [HR 2.86 (2.00-4.09) for dementia; HR 3.13 (1.80-5.42) for AD dementia; HR 1.89 (1.37-2.61) for stroke]. The results remained comparable in the subgroup for individuals with median exposure to secondhand smoke. Conclusion: Exposure to secondhand smoke may be associated with increased risks of dementia, AD dementia and stroke.


Author(s):  
Boram Sim ◽  
Myung-Bae Park

This study aimed to estimate the secondhand smoke (SHS) exposure using urinary cotinine (UCo) to prove that the SHS exposure could not be properly assessed by self-reporting (SR). In total, 28,574 nonsmokers aged >19 years were selected from the Korean National Health and Nutrition Examination Survey data (2009–2018). First, changes in the annual concentration of UCo were analyzed, and the annual SHS exposure rates were measured based on SR and UCo from 2009 to 2018. Then, the average UCo concentration and UCo-measured SHS exposure rate were confirmed according to the subjects’ characteristics. Finally, factors associated with the UCo-measured SHS exposure rate were identified based on multiple regression analysis. The findings showed that the annual UCo concentrations and self-reported SHS exposure rates dropped significantly over the past decade. In contrast, the UCo-measured SHS exposure rate indicated that >80% of nonsmokers are still exposed to SHS. Moreover, we found vulnerable groups using UCo-measured SHS exposure rate. In particular, the self-reported SHS exposure at home and in workplaces and house type was highly associated with SHS exposure. Thus, these findings indicate that the actual SHS exposure could not be properly assessed by SR and should be verified using a biomarker, such as UCo. Considering that even a short-term exposure can be harmful to health, the goal of the policy should be to keep cotinine concentration as low as possible.


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 21s-21s
Author(s):  
K.Y. Low ◽  
S.J. Jag Singh ◽  
H.S. Mohd Hashim ◽  
C. Lim ◽  
N.I. Junazli ◽  
...  

Background: According to the World Health Organization (WHO) (2014), noncommunicable diseases (NCDs) such as cancer, cardiovascular disease and respiratory disease account for a majority of premature deaths in the Malaysian population. Tobacco smoking remains a leading risk factor for these diseases. Although there have been previous population-level studies which have highlighted adolescent smokers in Malaysia, little has been done to specifically ascertain smoking prevalence within a school-going population using objective measurement tools. Aim: This study aimed to identify the prevalence of school-going adolescent smokers in Kuala Lumpur via an objective measurement - expired carbon monoxide (CO) in parts per million (ppm). Methods: This study was a cross-sectional study that involved 2,679 high school-going adolescents aged between 13 to 18 years old in Kuala Lumpur, Malaysia. The level of exhaled CO (Smokerlyzer test) of all the participants was measured. Participants were also administered with a survey conducted right after the Smokerlyzer test to determine i) whether they smoked or not; ii) type of tobacco products used if smoked; iii) vaping or shisha usage; and iv) exposure to secondhand smoke. The categorization of smoking status was based on CO-ppm reading: ≤ 3 ppm (nonsmoker); 3 < ppm ≤ 6 (light smoker or nonsmoker breathing in poor air quality or passive smoke inhalation); ≥ 7 ppm (regular smoker with higher levels of CO in blood). Descriptive analysis was conducted to determine the demographics of the study population. Inferential analysis was carried out utilizing χ2 tests or Student t-tests to test associations between smoking status and other independent variables. One-way ANOVA test was conducted to compare the differences in CO-ppm readings. Results: The mean age of the adolescents (n=2,679) was 14.5 ± 1.2 years old (median: 14) and 55.1% were male. Interestingly, vaping was the most commonly used method of tobacco use among the studied adolescents, regardless of gender, followed by cigarettes and shisha. The mean CO-ppm reading for male adolescents was significantly higher than female adolescents. Passive smoke inhalation (exposure to secondhand smoke) was significantly associated with higher readings of CO-ppm. A significant association was determined between status of exposure to secondhand smoke and a history of usage of any form of tobacco products. Conclusion: The prevalence of smoking adolescents, regardless of gender, in Kuala Lumpur remains at a worrying state. Objective measurements such as Smokerlyzer test can be coupled with self-reported questionnaire in targeting adolescent smokers within a structured setting such as a school and can help form part of an effective school-based smoking cessation intervention program targeting adolescents in Malaysia. This is in line with efforts to make Malaysia a smoke-free nation by 2045.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Xin He ◽  
Jingjing Zhao ◽  
Jiangui He ◽  
Yugang Dong ◽  
Chen Liu

Abstract Background Secondhand smoke (SHS) exposure is a well-established cardiovascular risk factor, yet association between SHS and prognosis of heart failure remains uncertain. Method Data were obtained from the US National Health and Nutrition Examination Surveys III from 1988 to 1994. Currently nonsmoking adults with a self-reported history of heart failure were included. Household SHS exposure was assessed by questionnaire. Participants were followed up through December 31, 2011. Cox proportional-hazards models were used to assess the association of household SHS exposure and mortality risk. Potential confounding factors were adjusted. Results Of 572 currently nonsmoking patients with heart failure, 88 were exposed to household SHS while 484 were not. There were totally 475 deaths during follow-up. In univariate analysis, household SHS was not associated with mortality risk (hazard ratio [HR]: 0.98, 95% confidence interval [CI]: 0.76–1.26, p = 0.864). However, after adjustment for demographic variables, socioeconomic variables and medication, heart failure patients in exposed group had a 43% increase of mortality risk compared with those in unexposed group (HR: 1.43, 95% CI: 1.10–1.86, p = 0.007). Analysis with further adjustment for general health status and comorbidities yielded similar result (HR: 1.47, 95% CI: 1.13–1.92, p = 0.005). Conclusion Household SHS exposure was associated with increased mortality risk in heart failure patients.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fabian Erdsiek ◽  
Patrick Brzoska

Abstract Background Findings on the association between exposure to secondhand smoke (SHS) and depression are contradictory. Comparability of existing research is limited due to varied methods and measures. This study examines the potential association between exposure to SHS and depression and a potential moderation by sex using representative data from Germany. Methods For our study, we used data from the German Health Update (GEDA) 2014/2015 on n = 10,274 never-smokers. We calculated a logistic regression model with an interaction term for potential sex-exposure interactions. We used the self-reported duration of exposure to predict current depression of any type as defined by the Patient Health Questionnaire PHQ-8 (score ≥ 10), accounting for a large number of confounders. Results In our sample, prevalence of depression was 8.8% in women and 5.3% in men. 90.4% were never or almost never exposed to SHS, while 7.1% were exposed < 1 h per day and around 2.5% reported being exposed for ≥1 h per day. While SHS exposure for < 1 h per day was not associated with current depression (OR = 1.54; 95%-CI: 0.93–1.61), SHS exposure for at least 1 h per day was associated with increased odds for current depression (OR = 1.59; 95%-CI: 1.08–2.35). No sex-specific differences were found. Conclusions Higher levels of SHS exposure are associated with current depression, although the nature and direction of the association are still unclear. We identified no differences in the association between men and women. More studies, particularly using longitudinal data, are needed to determine the nature of the association.


2020 ◽  
Vol 12 (21) ◽  
pp. 9099
Author(s):  
Byung Lyul Woo ◽  
Min Kyung Lim ◽  
Eun Young Park ◽  
Jinhyeon Park ◽  
Hyeonsu Ryu ◽  
...  

Since the global enforcement of smoke-free policies, indoor smoking has decreased significantly, and the characteristics of non-smokers’ exposure to secondhand smoke (SHS) has changed. The purpose of this study was to assess the temporal and spatial characteristics of SHS exposure in non-smokers by combining questionnaires and biomarkers with time activity patterns. To assess SHS exposure, biomarkers such as cotinine and 4-(methylnitrosamino)-1-3-(pyridyl)-1-butanol (NNAL) in urine and nicotine in hair were collected from 100 non-smokers in Seoul. Questionnaires about SHS exposure and time activity patterns were also obtained from the participants. The analysis of biomarker samples indicated that about 10% of participants were exposed to SHS when compared with the criteria from previous studies. However, 97% of the participants reported that they were exposed to SHS at least once weekly. The participants were most exposed to SHS in the outdoor microenvironment, where they spent approximately 1.2 h daily. There was a significant correlation between the participants’ time spent outdoors and self-reported SHS exposure time (r2 = 0.935). In this study, a methodology using time activity patterns to assess temporal and spatial characteristics of SHS exposure was suggested. The results of this study may help develop policies for managing SHS exposure, considering the time activity patterns.


Sign in / Sign up

Export Citation Format

Share Document