• Journal of Korean society of Dental Hygiene
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• v.19 no.4
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• pp.515-524
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• 2019

Objectives: This study aimed to investigate the effects of the amount and duration of smoking on gingival symptoms in adolescents. Methods: We used the web-based survey data of youth health behaviors from 2016 conducted by the Korean Centers for Disease Control and Prevention. The subjects of the study were 67,983 middle and high school students. Data analysis was performed using the SPSS Ver 20.0 program, and complex sample multivariate logistic regression analysis was performed to analyze gingival symptoms according to short- or long-term smoking habits. Results: In subjects with short-term smoking habits, there was no significant difference in gingival symptoms according to the smoking amount. However, after adjusting for socioeconomic characteristics and oral health behaviors in subjects with long-term smoking habits, a heavy smoking amount (${\geq}0.52PY$) had a 1.25 times higher effect than a light smoking amount (<0.52 PY) on gingival symptoms. Long-term heavy smoking (${\geq}0.52PY$) and low daily tooth-brushing frequency in high school students were factors affecting gingival symptoms. Conclusions: When conducting a project on the oral health of adolescents, it is argued that specific investigations and measures should be set up regarding health behavior factors, such as the amount and duration of smoking among adolescents.

• Korean Journal of Clinical Laboratory Science
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• v.39 no.1
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• pp.37-41
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• 2007

This study was carried out to investigate the cadmium level in blood by age, gender, and smoking status among 162 elderly subjects in Gyeongnam Province from September 2006 to February 2007. The cadmium level in blood was analyzed by atomic absorption spectrophotometer. Subjects were classified according to smoking status and divided into smokers and non-smokers, smoking duration, daily smoking habits, age, and gender. Mean blood cadmium levels in male and female were $0.70{\pm}0.41{\mu}g/dL$ and $0.57{\pm}0.32{\mu}g/dL$ respectively, with no significant differences between the two groups. Cadmium levels in the blood of smokers and non-smokers were $0.57{\pm}0.32{\mu}g/dL$, $0.90{\pm}0.44{\mu}g/dL$ respectively, with the cadmium level of smokers being significantly higher than that of non-smokers. In comparison by age, cadmium levels in the blood of subjects over the age 70 years and over the age 80 years were $0.91{\pm}0.44{\mu}g/dL$, $1.02{\pm}0.39{\mu}g/dL$ respectively, showing a significantly higher blood cadmium level than that of non-smokers. when compared by the amount of daily cigarette consumption, there were no significant differences in the blood cadmium level between groups. However when compared by smoking duration, the blood cadmium level for the group of smoking duration of over 10 years was $1.15{\pm}0.38{\mu}g/dL$, significantly higher than $0.67{\pm}0.31{\mu}g/dL$ for the group of smoking duration of less than 10 years. In conclusion, longer smoking duration and older aged group showed higher cadmium level in blood. For more reliable results, further study of the elements that elevate the cadmium level in blood with more subjects and study variables will be needed.

• Journal of Preventive Medicine and Public Health
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• v.25 no.3 s.39
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• pp.223-237
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• 1992

This study was to examine the association of the health-related behaviors and subjective symptoms with smoking. Data were collected by questionnaire survey during regular health examination from Mar. 23 to Mar. 31, 1992 for 1,615 male freshmen of a university in Kwangju City. The results obtained were as follows : 1. Among the freshmen, 26.9% reported that they were smokers. 69.4% for smokers started smoking for the recent 4 years, and 63.4% for smokers smoked 10 cigarettes or more a day. 2. Meal regularity, meat eating, use of coffee or tea and alcohol drinking were positively associated with the status, the duration and the amount of smoking while the vegetable preference was negatively associated with the status and the duration of smoking. 3. There was no evidence of familial aggregation in smoking status except that of siblings. 4. Respiratory symptoms like cough or phlegm, dyspnea were positively associated with the status, the duration, and the amount of smoking. General symptoms like chest pain, fatigue, back pain, facial edema, and weight loss were positively associated with the duration and the amount of smoking. Other symptoms like headache, dizziness, and myalgia were not associated with smoking. 5. In multivariate logistic regression analysis, cough or phlegm, dyspnea, chest pain, facial edema, and back pain were related to smoking status.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.8 no.1
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• pp.51-68
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• 2001

The purpose of this study was to explain the relationship between smoking status, smoking behavior and hardiness in university students in Gangnung City. The subjects were a convenience sample of 315 students. The data were collected by a questionnaire given to the students between May 22 to June 2, 2000. An instrument developed by Akers & Gang(1996) and translated by Sohn, Jung-Nam(1999) was used in this study to measure definition of smoking, differential reinforcement of smoking and smoking behavior. The differential peer association scale developed Krohn et al.(1982) and translated by Sohn, Jung-Nam(1999), and the hardiness scale developed by Pollock(1984) and translated by Suh, Mun-Sa(1988) were also used. The data were analyzed using the SAS/PC+ Program and included descriptive statistics, t-test, ANOVA, and Spearman correlation coefficients. The results of this study are as follows : 1. The smoking rate for university students was 50.5% of which 44.7% started smoking in high school. 2. The mean score for level of hardiness was $3.14{\pm}0.43$ 3. The mean score for smoking behavior was as follows : 1) The mean score for the neutralizing definition was $2.16{\pm}0.57$ 2) The mean score for the negative definition was $2.37{\pm}0.71$ 3) The mean score for the positive differential reinforcement was $1.89{\pm}0.63$ 4) The mean score for the negative differential reinforcement was $2.96{\pm}0.64$ 5) The mean score for the differential peer association was $2.67{\pm}1.05$ 4. The data showed positive correlations between hardiness and the neutralizing definition(r=.1951, P<.001), between hardiness and the positive differential reinforcement(r=.1128, P<.05), between hardiness and the amount of smoking per day(r=.1452, P<.05) between the neutralizing definition and positive differential reinforcement(r=.4212, P<.0001), between the neutralizing definition and differential peer association(r=.1856, P<.001), between the neutralizing definition and age at smoking initiation(r=.1582, P<.05), between the negative definition and negative differential reinforcement(r=.2985, P<.0001), between the positive differential reinforcement and differential peer association(r=.3451, P<.0001), between positive differential reinforcement and the amount of smoking per day(r=.4431, P<.0001), between differential peer association and the duration of smoking(r=.2789, P<.0001), between differential peer association and the amount of smoking per day(r=.5410, P<.0001), between the duration of smoking and the amount of smoking per day(r=.4245, P<.0001). The data showed negative correlations between the neutralizing definition and the negative definition(r=-.2065, P<.001) between the neutralizing definition and negative differential reinforcement(r=-.3943, P<.0001) between the neutralizing definition and duration of smoking(r=-.1957, P<.05), between the negative definition and positive differential reinforcement(r=-.2093, P<.001), between the negative definition and the amount of smoking per day(r=-.2282, P<.001), between positive differential reinforcement and negative differential reinforcement(r=-.5555, P<.0001) between negative differential reinforcement and differential peer association(r=-.3653, P<.0001), between negative differential reinforcement and the amount of smoking per day(r=-.4570, P<.0001), between the age at smoking initiation and the duration of smoking(r=-.4594, P<.0001).

• Journal of Korean Biological Nursing Science
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• v.20 no.4
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• pp.214-220
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• 2018

Purpose: This study aimed to investigate the effect of smoking duration, smoked cigarettes per day and smoking cessation period on pulmonary function among ex-smokers: based on the 6th Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This study was analyzed using the 6th KNHANES data. Pulmonary function tests were performed on a total of 4,214 adults (> 40 years old). A total of 770 adults ex-smokers were eligible for inclusion in the final analysis. Forced vital capacity (FVC), forced expiratory volume in one second ($FEV_1$) and $FEV_1/FEV$ were measured to evaluate pulmonary function. Results: This study showed that there were significant differences in both $FEV_1$ and FVC values based on gender, age and height, among ex-smokers. $FEV_1/FVC$ significantly differed by age, height and the smoking duration prior to smoking cessation. Multiple regression analysis revealed that, $FEV_1/FVC$ accounted for 26.0% of the variance by age, height and smoking duration. There was a difference in the mean value of $FEV_1/FVC$ with or without smoking for more than 10 years. Conclusion: This study's findings show that smoking for over 10 years in an ex-smoker can lead to problems with the respiratory system. The long-term cigarette has progressive ill effects on the respiratory system.

• Journal of Periodontal and Implant Science
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• v.31 no.4
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• pp.803-810
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• 2001

The purposes of this study were to investigate the relationship between cigarette smoking levels and periodontal status. 199 subjects, consisting of male 127 and female 72, classified by smoking levels and duration were selected: Patients who had smoked for more than 20 cigarettes/day were considered heavy smokers, 10 to 19, moderate smokers; 1-9, light smokers:0, non-smoker. And smokers were divided into ones who had smoked for more than 20 years, 10-19 years, less than 10 years and non-smokers. Heavy smokers and moderate smokers showed significantly greater pocket depths, less clinical attachment levels, more molar furcation involvements, greater alveolar bone loss and higher scores of plaque index than light smokers and non-smokers,(p < 0.05). When the duration of smoking was considered as a factor, scores of clinical parameters were worse and alveolar bone loss were significantly greater in long-term smokers, who had smoked for more than 20 years. In conclusion, cigarette smoking is associated with periodontal status.

• Biomedical Science Letters
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• v.9 no.4
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• pp.223-229
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• 2003

The welding workers are frequently exposed to heavy metals such as manganese. Manganese is well evaporated into the air while welding. This study had been carried out to investigate the relationship of the blood manganese level to age, work duration, and smoking status among 128 welding workers in Gyeongnam and Jeonnam province from May to November, 2003. They showed high manganese level in the first health examination. Subjects were also classified for the investigation according to their smoking status as smokers and nonsmokers, work duration ($\leq$9, 10~9, 20$\leq$years), and ages ($\leq$29, 30~39, 40~49, 50$\leq$years). Blood manganese Jevels were analyzed by atomic absorption spectrophotometer (AAS). Mean blood manganese level was 1.62$\pm$0.56 $\mu\textrm{g}$/dl. In the comparison of blood manganese levels by age and smoking status, mean blood manganese levels of smokers in age of 20's, 30's, and 50's were 2.09$\pm$0.44 $\mu\textrm{g}$/dl, 1.94$\pm$0.33 $\mu\textrm{g}$/dl, and 2.l5$\pm$0.33 $\mu\textrm{g}$/dl, respectively. Blood manganese levels of smokers were significantly higher than those of non-smokers, showing no significant difference in the 40's. In the comparison of blood manganese levels by work duration, the blood manganese levels of smokers were the highest in the case of 10 to 19 years work duration. This study showed that the blood manganese levels were related to the smoking status, work duration, and age. Mean manganese levels of smokers showed higher than those of nonsmokers. It also showed that the length of work duration was related to the elevation of blood manganese levels. Among the welding workers, blood manganese levels of smokers were the highest over their age of 50's. In conclusion, smoking was the most significant risk factor to increase blood manganese levels. The further study will need analysis of the other factors related to manganese level elevation.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.65-70
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• 2016

Lung cancer is one of the most common malignancies in the world. Its incidence and mortality rates are on the rise in Pakistan. However, epidemiological studies to identify common lung cancer determinants in the Pakistani population have been limited. In this study, data of 440 cases and 323 controls were collected from different hospitals in Peshawar and Islamabad, along with information about socio-demographic factors including age, sex and smoking. Univariate and multi-factorial analyses of socio-demographic factors in association with each other were also performed. Overall survival analysis highlighted that, out of 440 patients in the lung cancer dataset, 204 people were uncensored with a median survival time of 13 months (95% CI=12-18). There were 41 femaleand 399 male patients. Differences were observed between length of survival in the males and females (${\chi}12$ = 6.1; p-value = 0.01). Gender was observed to be significantly related to survival (p-value< 0.01), with better survival in females (hazard ratio=2). Cox regression was extended to adjust for the covariate age (z = 2.5; p-value = 0.02). Survival analysis was also performed on the basis of smoking groups (current smokers, former smokers and never smoked individuals) and smoking duration (smoking duration >10 years, <10 years and never smoked). Smoking duration was significantly associated with survival (p-value < 0.01), with better survival in never smokers in comparison to both smoking for greater or less than 10 years. Strong associations were observed for smoking group with duration greater than 10 years, OR=6.1(3.9-9.5) on univariate and multifactorial analysis OR=11.3(CI=6.8-19.3).

• Journal of Korean Academy of Fundamentals of Nursing
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• v.10 no.3
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• pp.276-282
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• 2003

Purpose: The purpose of this study was to investigate smoking history and quality of life in the patients with coronary artery disease (CAD). Method: Data were collected from 157 men who quit smoking or attempted to quit smoking. Quality of life was measured with the SCQoL(smoking cessation quality of life) scale which was developed by Olufade et al. (19?19), and includes 5 factors; social interactions, cognitive functioning, self control, anxiety, and sleep. Result: The patients usually smoking in their twenties (61.8%), continued to smoke for over 30 years (70.7%), and smoked 20-29 cigarettes a day (50.3%). The total mean scores for the SCQoL was $50.48{\pm}7.11$. Of the 5 factors, self control had the highest mean score ($17.00{\pm}3.79$). Patients who began smoking in their twenties had a higher SCQoL. However, there were no significantly differences in the SCQoL according to duration of smoking or amount of smoking per day. Conclusion: Age when smoking is begun is an important variable to explain SCQoL in patients with CAD. But, further study is needed to identify the influence of other variables such as duration and amount of smoking.

• Journal of International Academy of Physical Therapy Research
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• v.9 no.4
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• pp.1596-1601
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• 2018

Smoking can be a significant cause of lung diseases and reduced respiratory functions. Among soldiers, smoking may have a negative impact on their health (physical strength) and well being. Information on differences in the respiratory functions of smokers and nonsmokers in the military services and the effects of the smoking duration and amount (i.e., the number of cigarettes smoked per day) would be useful. This study investigated smoking durations and smoking amounts among young male soldiers (N = 61). The forced vital capacity (FVC), forced expiratory volume in 1 sec (FEV1), and forced expiratory volume in 1 sec/forced vital capacities (FEV1/FEC) were measured FVC, FEV1, or FEV1/FEC of smokers and nonsmokers were not significantly different, and FVC and FEV1 were inversely proportional to smoking duration. Besides, the number of cigarettes smoked per day was not correlated with respiratory functions. These findings may be attributed to the effect of the strenuous physical activity (e.g., military drills) undertaken by soldiers on their respiratory functions. Despite the lack of evidence for a difference in the respiratory functions of smokers and nonsmokers, this study recommends ongoing respiratory function management through smoking cessation programs and respiratory physiotherapy to manage the respiratory functions of Korean smoking soldiers.