Analysis of second-hand smoke exposure and lung cancer death trend among population in Huizhou area / 公共卫生与预防医学

Objective To investigate the relationship between second-hand smoke exposure and lung cancer death trend in Huizhou area. Methods The corresponding records of lung cancer in the tumor registration system in Huizhou area from January 2019 to December 2019 were collected to investigate the subjects' second-hand smoke exposure. Linear regression model was used to analyze the correlation between the mortality of lung cancer patients and the second-hand smoke exposure rate. Logistic regression model was used to analyze the correlation between second-hand smoke exposure and death of lung cancer patients. Results In 2019, the mortality rate of lung cancer patients in Huizhou was the highest in the third quarter, and the second-hand smoke exposure rate of lung cancer patients was also the highest in the third quarter. The mortality rate of lung cancer patients in Huizhou was significantly positively correlated with the second-hand smoke exposure rate (r2 = 0.985 9, P<0.05). The second-hand smoke exposure rate, second-hand smoke exposure concentration, and the extent of second-hand smoke environmental enclosure of dead cancer patients were significantly higher than those of lung cancer patients in the survival group, and the difference was statistically significant (P<0.05). The second-hand smoke exposure, second-hand smoke concentration and the extent of the enclosure of second-hand smoke environment were independent risk factors influencing the death of lung cancer patients (P<0.05). Conclusion The trend of lung cancer deaths in Huizhou in 2019 was consistent with the prevalence of second-hand smoke exposure. The second-hand smoke exposure is an important factor for lung cancer deaths.

Second hand smoke exposure in workplace by job status and occupations

BACKGROUND: The objective of this study is to evaluate the risk of exposure to second hand smoke (SHS) during working hours by job status and occupation. METHODS: Using the 4th Korean Working Conditions Survey (KWCS), 49,674 respondents who answered the question about SHS were studied. A chi-square test was carried out to determine whether there is a significant different in SHS exposure frequency by general and occupational characteristics and experience of discrimination at work and logistic regression analysis was carried out to identify the risk level of SHS exposure by variables. RESULTS: In this study, we found that male workers in their 40s and 50s, workers employed in workplaces with fewer than 50 employees, daily workers, and people working outdoors had a higher rate of exposure to SHS than the others. The top five occupations with the highest SHS exposure were construction and mining-related occupations, metal core-makers-related trade occupations, wood and furniture, musical instrument, and signboard-related trade occupations, transport and machine-related trade occupations, transport and leisure services occupations. The least five exposed occupations were public and enterprise senior officers, legal and administrative professions, education professionals, and health, social welfare, and religion-related occupations. CONCLUSION: Tobacco smoke is a significant occupational hazard. Smoking ban policy in the workplace can be a very effective way to reduce the SHS exposure rate in the workplace and can be more effective if specifically designed by the job status and various occupations.

Changes in and Factors Affecting Second-hand Smoke Exposure in Nonsmoking Korean Americans in California: A Panel Study

PURPOSE: We evaluated changes in and factors affecting second-hand smoke (SHS) exposure in a panel study of nonsmokers. METHODS: This study was based on data from a larger study of tobacco use among a representative sample of adults of Korean descent residing in California. Participants included 846 males and 1,399 females who were nonsmokers at baseline (2005-2006) and at follow-up (2007-2009). Participants were selected by probability sampling and were interviewed by telephone. RESULTS: At baseline, 50.0% were exposed to any SHS, and at follow-up 2 years later, 60.4% were exposed to any SHS (p < .001). SHS exposure at baseline was associated with acculturation, employment, spousal smoking, and having a friend who smoked (p < .001). Employment, spousal smoking, and other family members smoking were associated with SHS at follow-up (p < .001). The odds ratio of SHS in the employed group declined from 2.01 at baseline to 1.53 at follow-up, that of the group having a smoking spouse increased from 1.88 to 2.36, and that of the group having other family members smoking increased from 1.20 to 1.69. CONCLUSIONS: We showed that SHS exposure increased among Korean American nonsmokers in California, and the most important variables explaining the change in SHS exposure involved smoking among others with whom the subject is associated. These findings could be used as objective evidence for developing public health policies to reduce SHS exposure.

Second-hand Smoke Exposure and Urine Cotinine Levels by Occupation in the Busan, Ulsan, Kyeongnam Provinces / 대한산업의학회지

OBJECTIVES: Exposure to second-hand smoke varied by smoking rate in the workplace and no-smoking policies. The purpose of this study was to estimate the status of second-hand smoke exposure by occupation through urine cotinine analysis in Busan, Ulsan, and Kyeongnam provinces. METHODS: Data was obtained from the National Institute of Environmental Research of Korea as 'The 2008 Korea National Survey for Environmental Pollutants in Human Body'. We selected 629 non-smokers who lived in Busan, Ulsan and Gyeongnam provinces. General and occupational characteristics were gathered using a structured questionnaire. Urine cotinine concentrations were analyzed by a gas chromatograph-mass selective detector. Statistical analysis was carried out using the Chi-square test, Student t-test and ANOVA. RESULTS: The geometric mean (geometric standard deviation) of urine cotinine concentration was 17.11 (2.74) ng/ml. The urine cotinine concentration of the middle school graduate group (18.47 (2.86) ng/ml) was higher than the college graduate group (15.64 (2.60) ng/ml, p=0.212). Also, the cotinine concentration of current drinkers (18.98 (2.47) ng/ml) was higher than non-drinkers (16.15 (2.88) ng/ml, p=0.054). The proportion who smelled smoke was higher in workers (38.5%) than in non-workers (29.7%, p=0.02). Therefore, urine cotinine concentration was higher in workers (17.29 (2.66) ng/ml) than in non-workers (16.97 (2.81) ng/ml) but not at a statistically significant amount (p=0.826). In addition, cotinine concentration between the group who smelled smoke (20.45 (2.42) ng/ml) and the group who did not smelled smoke (15.53 (2.78) ng/ml) was significantly different (p=0.016) in workers but not in non-workers (17.08 (2.42) ng/ml vs 16.92 (2.98) ng/ml, p=0.942). According to the National Center for Health Statistics occupational categories in the US and the Korea Standard Classification of Occupations, the urine cotinine concentration of white collar workers such as technical workers and administrators, professional specialists, and managers was higher (18.01 (2.55) ng/ml) than that of blue collar workers such as plant and machine operators and assemblers, elementary occupations, and craft and related trades workers (15.36 (3.48) ng/ml). CONCLUSIONS: The workplace is an important contributor to second-hand smoke exposure in Busan, Ulsan and Kyeongnam provinces. Unlike in advanced countries, where anti-smoking policies have been implemented, urine cotinine concentration in people in Busan, Ulsan and Kyeongnam provinces was higher in the white collar group than in the blue collar group. This result might be due to a higher indoor second-hand smoking rate of workplaces in these areas. Further studies are needed to evaluate the correlation between regional characteristics of industries, anti-smoking policies in the workplace, smoking rates and urine cotinine concentrations of workers.