• Journal of Preventive Medicine and Public Health
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• v.14 no.1
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• pp.23-31
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• 1981

This study was conducted to investigate the effects of passive inhalation of cigarette smoke and the correlation between change of flicker value and active or passive smoking in poorly ventilated room. Forty five male students were tested by divided into four experimental groups composed of active and passive smokers and three control groups. Each four experimental groups were exposed to smoke for Two hours in enclosed room. Vital capacities, flicker values, blood carboxyhemoglobin levels and carbon monoxide concentration in room air were estimated before, during and after the exposure, and amounts of smoking or smoke exposure during two hours were also noted. The results obtained were as follows; 1. Concentration of carbon monoxide in air and increase of blood carboxyhemoglobin level (% COHb) were positively correlated with smoking amount. 2. Increase of blood carboxyhemoglobin in passive smokeres, in average, were about seventy six percent of that in smokers, as 2.2% vs. 2.9%. 3. Comparison with published data showed that Peterson's equation gave most similar result to this study in estimation of increase of blood carboxyhemoglobin level. 4. During the exposure, flicker values fell steadily in both experimental groups and control groups as time passed. Flicker values were, however, elevated again in experimental groups after exposure, despite the fact that values still fell in control groups. 5. Blood carboxyhemoglobin and flicker value were negatively correlated and this correlationship was stronger in passive smoker than in active smoker. 6. Multiple regression equation between flicker value and exposure time and blood carboxyhemoglobin level was expressed as: Flicker value=41.6-0.2 COHb%-0.9Hour, 7. In general, it is suggested that biological criteria would be more preferrable than chemical criteria in establishment of statutory limitation of smoking in enclosed spaces.

• Women's Health Nursing
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• v.6 no.4
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• pp.528-548
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• 2000

The purpose of this study was to identify the effect of college women s active and passive smoking on menstrual discomfort. The subjects were 252 college female students (active smokers, 71; people who passively inhaled others smoke, 104; nonsmokers who also didn't inhale others smoke, 77). Subjects were selected from 5 colleges in North Kyong Sang Province, Korea. Data was collected from March to June of 2000 with a structured questionnaire. The instruments used for this study were the revised Menstrual Distress Questionnaire (MDQ) developed by Moos(1968), general characteristic, menstrual characteristic, and smoking characteristic scale developed by researchers. The data were analysed by the SPSS/PC+ program. The results were as follows 1. There was no statistically significant difference of menstrual discomfort level among the active smokers, those who passively inhaled others smoke, and who did not inhale others smoke(F= 2.613, p= .075). 2. The mean score of menstrual discomfort was moderate(M= 60.8008, SD= 17.9243). The level of menstrual discomfort was various (minimum score 29.00- maximum score 110.0). 3. Factors influencing menstrual discomfort were on life stress events(F= 4.057, p = .045), irregular menstrual cycle(t = 3.968, p = .047), and amount of flow during menstruation(F = 4.018, p = .019). The recommendations from this study are necessity of further studies to investigate how heavy active and passive smoking have effect on menstrual discomfort.

• Biomedical Science Letters
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• v.6 no.2
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• pp.109-118
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• 2000

The bronchus and alveoli from young rats have been examined by electron microscope following the exposure of cigarette smoking. Experimental animals were exposed to the sidestream smoke in an experimentally designed cage for 45 minutes per day during four weeks. In the smoking group, transmission electron micrographs of lung tissues showed a large number of neutrophils with electron densed several lysosomes, numerous macrophages with many small lysosomes, and many residual bodies in alveolar space. Scanning electron micrographs revealed that the ciliated epithelial cells in bronchus of smoking group were replaced by goblet cells including loss of cilia, and increased cell size of many goblet cells in bronchus. These results depicted that the ultrastructural changes are due to the passive smoking, involving airway cell Injury.

• Archives of Craniofacial Surgery
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• v.25 no.2
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• pp.51-61
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• 2024

Background: The influence of smoking on nonsyndromic clefts has been a topic of research for many years. However, few studies have investigated the effect of smoking on causing clefts in different gene pools. Methods: A meta-analysis was conducted of case-control studies related to smoking. Keywords such as "clefts," "cleft lip," "cleft palate," "orofacial cleft," and "smoking" were used to search the MEDLINE, Embase, and Cochrane databases. Results: In total, 51 articles were reviewed. The RevMan software was utilized for the analysis, and the Mantel-Haenszel method was employed to pool the odds ratios (ORs) and 95% confidence intervals. Although the overall OR, a measure of the association between exposure and outcome, was higher for smokers than for non-smokers, this association was significantly stronger in individuals from Asia and South America (1.73), and lowest in Europe (1.31). Among active and passive smokers in Asia, the OR was approximately 0.93, indicating an equivalent impact from both types of smoking. Conclusion: This analysis indirectly suggests that restriction measures targeting both active and passive smoking are crucial in Asia.

• Proceedings of the Korean Environmental Health Society Conference
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• 2002.04a
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• pp.6-8
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• 2002

Many adolescents stay long time in the PC game room and are exposed to much of tobacco smoke. To evaluate the effect of passive smoking in the PC game room, airborne nicotine concentrations and urinary cotinine concentrations were measured for 20 adolescents at 2 PC game rooms in Sung-nam city. And the subjects were interviewed for duration and time in PC game room and smoking pattern. Subjects are composed of each of 10 smokers(5 males and 5 females) and 10 non-smokers(5 males and 5 females). They stayed for three hours in the PC game room without smoking. Concentrations of nicotine in smokers and non-smokers were 129.72 $\mu\textrm{g}$/㎥ and 99.99 $\mu\textrm{g}$/㎥, respectively. Urinary cotinine concentrations were increased as time goes on after exposure to nicotine and showed maximum value at 9.45 hours after nicotine exposure and were 32.21 and 110.66 $\mu\textrm{g}$/L for non-smoker and smokers. Urinary cotinine has a tendency to be increased by passive smoking. Therefore, it is recommended that the effective control for indoor air quality and extensive research be needed to reduce nicotine concentration by passive smoking in the PC game room.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.5715-5719
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• 2015

Background: Breast cancer is the most common malignancy of women in the world. The disease is caused by infectious and non-infectious, environmental and lifestyle factors. Tobacco smoke has been one of the most widely studied environmental factors wiith possible relevance to breast cancer. The purpose of this study was to assess the impact of tobacco smoking in breast cancer patients in a hospital based cohort and to establish prognostic implications if any. Materials and Methods: A retrospective audit of 100 women with pathological diagnosis of invasive breast cancer was included in this study. The verbal questionnaire elicited information on current and previous history of exposure to smoking in addition to active smoking. All analyses were adjusted for potential confounders, including stage at presentation, alcohol intake, hormonal replacement therapy, oral contraceptive intake, obesity and menopausal status. Results: The mean age at presentation of breast cancer was $51.4{\pm}10.86$ years. Mean age of presentation was $53.1{\pm}11.5$ and $45.7{\pm}11.9$ years in never smokers and passive smokers, respectively. Age at presentation varied widely in patients exposed to tobacco smoke for >10 years in childhood from $40.3{\pm}12.0$ years to $47.7{\pm}13.9$ in patients exposed for > 20years as adults. Among passive smokers, 60.9% were premenopausal and 39.1% of patients were postmenopausal. In never smokers, 71.4% were post menopausal. Expression of receptors in non-smokers vs passive smokers was comparable with no significant differences. Metastatic potential in lung parenchyma was slightlyelevated in passive smokers as compared to never smokers although statistically non-significant. Conclusions: An inverse relationship exists between the intensity and duration of smoking and the age at presentation and poor prognostic factors. The results strongly suggest efforts should be taken to prevent smoking, encourage quitting and restrict exposure to second hand smoke in India.

• Korea Journal of Hospital Management
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• v.6 no.1
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• pp.85-106
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• 2001

Since physical damages caused by passive smoking had been widely recognized, the Korea parliament enacted the National Health Promotion Law on September, 1995. The law specified nonsmoking areas in all public facilities, including hospitals. But this law is not strictly enforced. The benefits of a nonsmoking policy can not be expected by the public. Even though hospitals should preserve a smoke-free-environment, most of hospitals are not under full controls against smoking. The purpose of this study is to identify factors related to smoking in general hospitals. Field study and surveys were simultaneously performed at study hospitals in Busan. 9 of 24 general hospitals were selected and survey was performed for 10 days by investigators during January of 2000. Nine hospitals had nonsmoking regulations, but only 8 hospitals had designated nonsmoking areas. Two hospitals among those hospitals had a nonsmoking committee. Patients' smoking rate was 35.0%, while hospital employees' smoking rate was 22.5%. The smoking rates of physicians, nurses, administrators and medical technicians were 45.38%, 0.85%, 31.73% and 40.70%, respectively. In the question of the severity of damages caused by passive smoke, only 29.2% of the smoking group considered smoking as a serious health risk, while 69.4% of non-smoking group did. Christian employee showed lower smoking rate compared to other employee did. Even though physicians should educate patients and other professions about smoking, physicians' smoking rate (45.4%) was higher than other professions. As a consequence, this study insists that general hospitals should enhance their nonsmoking policy and implement any practical policy for smoking free hospital environment.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.6
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• pp.2687-2693
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• 2012

Objective: Passive smoking has been considered as a risk factor of many cancers. To examine whether it might also pose a risk for cervical cancer, we performed a meta-analysis based on published case-control studies. Methods: We searched the PubMed database and references of included studies up to February 10th, 2012 for relevant studies. After two authors independently assessed the methodological quality and extracted data, a meta-analysis was conducted using CMA v2 software. Publication bias was evaluated by funnel plot, using Egger's and Begg's tests. Results: Finally 11 eligible studies yielded, involving 3,230 cases and 2,982 controls. The results showed that women who never smoke but exposed to smoking experience a 73% increase in risk of cervical cancer compared with non-exposed women (OR = 1.73, 95% CI = 1.35 - 2.21, p<0.001). Subgroup and sensitivity analyses indicated this result to be robust. Moderate publication bias was detected by visualing funnel plot, Egger's and Begg's tests. Conclusion: Based on currently available evidence, the findings of this meta-analysis suggests that passive smoking significantly and independently increases the risk of cervical cancer.

• Journal of environmental and Sanitary engineering
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• v.15 no.3
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• pp.1-7
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• 2000

There is increasing evidence suggestion that passive smoking increases the risk of lung cancer and other disease, though the potential health effects of exposure to environmental tobacco smoke (ETS) is a controversial subject. Since smoking in restaurant is prevalent in Korea, the concern on passive smoking exposure of non-smoking service-workers has been requested. ETS exposure of non-smoking service-workers at restaurant was assessed because they hare spent their times in restaurant indoors. The purpose of this study was feasibility of nitrogen dioxide($NO_2$) as exposure marker of ETS. The results of the study were as follows; 1. Average $NO_2$ concentrations in indoor and outdoor t restaurants were 57.1ppb(${\pm}12.4$) and 54.29ppb(${\pm}9.54$), respectively. Comparing office-workers, service-workers at restaurants were exposured highly. 2. The personal $NO_2$ measurement as exposure marker of ETS could cause the exposure error because $NO_2$ can be generated by combustion appliances in indoor. 3. Service-workers spent their most time(86.6%) in indoor. Mean time spent at restaurant indoors and at home was 9.4 hours and 10.9 hours, respectively. 4. Personal $NO_2$ levels correlated with indoor $NO_2$ concentrations of restaurant (r=0.70) and of their home (r=0.52) rather than of outdoor $NO_2$ concentration of restaurant (r=0.35). The cause of personal $NO_2$ exposure of non-smoking service-workers were considered as smoking of guests and combustion appliance indoors. 5. personal $NO_2$ exposures were estimated using Monte-Carlo simulation and time-weighted model. Estimated personal $NO_2$ level was 47.25ppb(${\pm}8.3$).

• Environmental Analysis Health and Toxicology
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• v.5 no.3_4
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• pp.47-56
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• 1990

Smoking damages nonsmoker's health who have been exposed to passive smoking as well as smoker's own health. Passive smoking can cause serious health damage to particular groups, such as the old aged, children and pregnant women. The purpose of this study is to investigate the relationship between nicotine concentrations in environmental tobacco smoke (ETS) and urinary cotinine concentrations of nonsmokers exposed to ETS, and to provide basic information related to health risk assessment. The results of this study were summarized as follows: 1. When 180 cigarrette were smoked during S hours (high concentrations exposure) in 132 m$^3$chamber, mean concentrations of nicotine in ETS showed 263.52 $\mu\textrm{g}$/m$^3$${\pm}$51.93. When 45 cigarretts were smoked (low concentrations exposure), it was 69.43${\pm}$8.96 $\mu\textrm{g}$/m$^3$. 2. The urinary cotinine concentrations of each times (0, 2.5, 5, 17 and 24 hours) in nonsmokers ranged from 0.27∼12.52 ng/ml in high concentrations exposure and 0.22∼2.28 ng/ml in low concentrations exposure. Mean while the total urinary cotinine concentrations during 24 hours ranged from 11.62∼31.65 ng/ml in high concentrations exposure and 3.45∼5.64 ng/ml in low concentrations exposure. 3. The correlation equation and coefficient between cotinine concentrations in nonsmokers' urine (y) and nicotine concentrations in ETS (x) was y=0.421+0.0171x and 0:875 (p<0.01) respectively, 4. The quantity of nonsmokers' smoking exposure by passive smoking can be assumed as based on the estimation of nicotine concentrations in ETS by measuring cotinine concentrations of nonsmokers' urine.