• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.5959-5963
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• 2012

Background: The term 'hardcore' has been applied to use of smoking tobacco and generally referred to as the inability or unwillingness of regular smokers to quit. The component constructs of hardcore except nicotine dependence are product neutral. With the use of 'time to first chew' as a measure of nicotine dependence, hardcore definition can be extended to characterize smokeless tobacco users. Hardcore users respond less to tobacco cessation interventions, and are prone to tobacco induced diseases including cancer. Thus identifying hardcore users would help in estimate the burden of high risk population for tobacco induced diseases. Smokeless tobacco use is predominant and accounts for more than 50% of oral cancer in India. Hence, hardcore chewing information could be used for planning of tobacco and cancer control interventions. The objective of this study was to assess the prevalence and associated factors of hardcore smokeless tobacco use in India. Materials and Methods: Global Adult Tobacco Survey (GATS)-India 2010 data were analyzed to quantify hardcore smokeless tobacco use in India with following five criteria: (1) current daily smokeless tobacco use; (2) no quit attempt in the past 12 months of survey or last quit attempt of less than 24 hours duration; (3) no intention to quit in next 12 months or not interested in quitting; (4) time to first use of smokeless tobacco product within 30 minutes of waking up; and (5) knowledge of smokeless tobacco hazards. Results: The number of hardcore smokeless tobacco users among adult Indians is estimated to be 5% (39.5 million). This group comprises 23.2% of daily smokeless tobacco users. The population prevalence varied from 1.4-9.1% across different national regions of India. Logistic regression modeling indicated age, education and employment status to be the major predictors of hardcore smokeless tobacco use in India. Conclusions: The presence of a huge number (39.5 million) of hardcore smokeless tobacco users is a challenge to tobacco control and cancer prevention in India. There is an unmet need for a universal tobacco cessation programme and intensification of anti-tobacco education in communities.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6195-6198
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• 2014

Purpose: We examined tobacco use pattern and its correlates among older adults. Materials and Methods: We used data of 9,852 older adults (${\geq}60$ years) (men 47% mean age 68 years) collected by the United Nations Population Fund on Ageing from seven Indian states. Logistic regression analysis was used to assess the correlates of tobacco use. Results: Current use of any form of tobacco was reported by 27.8% (men 37.9%, women 18.8%); 9.2% reported only smoking tobacco, 16.9% smokeless tobacco only and 1.7% used both forms. Alcohol users (OR:5.20, 95% CI:4.06-6.66), men (OR:2.92, CI :2.71-3.47), those reporting lower income (OR:2.74, CI:2.16-3.46), rural residents (OR 1.34, CI 1.17-1.54) and lower castes (OR:1.29, CI:1.13-1.47) were more likely to use any form of tobacco compared to their counterparts. Conclusions: Tobacco cessation interventions are warranted in this population focusing on alcohol users, men, those from lower income, rural residents and those belonging to a lower caste.

• Journal of the Korean Society of Tobacco Science
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• v.29 no.2
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• pp.118-124
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• 2007

GRLs(Guidance Residue Levels) of agricultural chemicals for tobacco are recommended by the CORESTA Agro-Chemical Advisory Committee guide. In the GRLs list, organochlorine group is one of pesticides commonly used on tobacco cultivation. In this model study, the quantitative correlation in the transfer rate of pesticide residue into tobacco smoke by spiking of organochlorine pesticides to cigarette and pyrolysates were investigated. The spiking concentration referred to the range of GRLs list and the organochlorine pesticides in mainstream smoke were analyzed by GC-MS. For the understanding of the composition variation versus temperature, the behavior of pesticides was investigated by pyrolysis-gas chromatography-mass spectrometry(Py-GC-MS). In this study, the transfer rate of pesticide residue into tobacco smoke at four different spiking concentration and the composition of pyrolysates were analyzed differently. At $10\;{\mu}g/cig$ spiking concentrations, the organochlorine pesticides were transferred into tobacco smoke in $0.02\;{\sim}\;10.19\;%$ each of component and the most of pesticides were pyrolyzed during smoking. It was found that the decomposition compounds from organochlorine pesticides were mainly composed of oxygenated and nitrogenous compounds. This study could estimate that the transfer rate of pesticides into tobacco smoke is very small amount.

• Journal of Korean Academy of Nursing
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• v.37 no.2
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• pp.227-241
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• 2007

Background. Although research has established the existence of an association between smoking and depression among adolescents, researchers have not reached consensus on the nature of the association. Objectives. The purpose of this paper is to review the literature, to examine the nature of the relationship between smoking and depression in adolescence, and to suggest future research directions. Methods. A literature search was conducted from the following six databases: (a) Ovid MEDLINE, (b) CINAHL, (c) PubMed Unrestricted, (d) PsycINFO, (e) ERIC, and (f) Sociological Abstracts. The combinations of the words, "depression," "smoking," "tobacco," "adolescent," and "teen" were used for keyword searches to find relevant articles. Results. In 47 of 57 studies, significant associations between smoking and depression were found. However, these significant relationships may either be spurious or unrelated to depression because a substantial number of studies did not adjust for confounders or did not use validated instruments to measure depression. Additionally, if the relationship is causal, its direction remains controversial. Five relationships have been suggested: (a) Depression causes smoking, (b) smoking causes depression, (c) there is a bidirectional relationship between smoking and depression, (d) smoking and depression occur due to confounders, and (e) subgroups with different relationships between the two conditions exist. Conclusions. It is necessary to further explore the relationship between smoking and depression. Future research should consider the need for: (a) longitudinal research designs, (b) more accurate measurement of depression, and (c) the control of confounders between smoking and depression.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1125-1130
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• 2012

Objective: The objective of present study is to investigate the determinants of smoking behaviour among adults in Malaysia. Method: Findings of the Third National Health and Morbidity Survey (NHMS-3) by the Ministry of Health, Malaysia, were used. The sample consisted of 34,539 observations. A logistic regression model was thus applied to estimate the probability to participate in smoking. Results: Age, income, gender, marital status, ethnicity, employment status, residential area, education, lifestyle and health status were statistically significant in affecting the likelihood of smoking. Specifically, youngsters, low income earners, males, unmarried individuals, Malays, employed individuals, rural residents and primary educated individuals were more likely to smoke. Conclusion: In conclusion, socio-demographic, lifestyle and health factors have significant impacts on smoking participation in Malaysia. Based on these empirical findings, several policy implications are suggested.

• Journal of Korean Society for Atmospheric Environment
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• v.9 no.E
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• pp.358-363
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• 1993

Total particulate mater (TPM), $NO_2$ and $NH_3$ were measured simultaneously in the smoking and non-smoking locations during an eleven month period from March 1986 to January 1987 at three sites in Chicago : Illinois Institute of Technology Cafeteria, Rush-Presbyterian St. Lukes Medical Center Cafeteria and a downtown office building. From this study, the mean concentrations of $NO_2$ and $NH_3$ were not significantly different between the smoking and non-smoking locations at any sampling site ; however, there was a statistical difference for TPM between the smoking and non-smoking locations. Activity factor was useful for describing the contribution from indoor source. The linear regression analysis was reasonable method for discriminating the individual contribution of source to determine the emission factor. The TPM emission factor determined from this technique was in good agreement with value from the literature.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.11
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• pp.5371-5374
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• 2012

The present study was conducted to assess the prevalence and type of tobacco use among adolescents and also the reasons for the initiation of tobacco use amongst them. It was conducted in ten randomly selected schools in the Kannur district of Kerala state, India. A total of 3,000 school children participated. The study observed an overall prevalence of 5.5%. The prevalence observed among boys was 12% and none of the girls were tobacco users. Association between father's and friend's tobacco habits were observed.

• Journal of the Korean Society of Tobacco Science
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• v.23 no.2
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• pp.162-167
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• 2001

This study was carried out to quantitatively determine phenol compounds in smoke total particulate matter(TPM) to evaluate the qualititive characteristics of flue-cured tobacco varieties(NC82, KFl14 and KFl18). After collecting The TPM by using smoking machine, the concentration of phenol compounds were analyzed by gas chromatography as their trimethylsilyl derivative on a fused capillary column bonded with a 5％ PE ME siloxane stationary phase. In all the flue-cured tobacco varieties, the major phenol components were monohydroxy compounds. The order of the highest concentration of total phenol compounds in TPM was NC82, KF114 and KFl18 but the contents of dihydroxy compound in the KFl18 was higher than those of NC82 and KF114.

• Journal of the Korean Society of Tobacco Science
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• v.18 no.2
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• pp.170-176
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• 1996

This paper describes the generation and decay phenomena of gas, vapor and particulate phase components of environmental tobacco smoke in 18 m3 controlled experimental atmosphere chamber. Real time-weighted average concentration ratios of markers were determinated at no ventilation rates and sampling durations of starting to smoking 45 min. Average concentration of major ETS markers was no significant on the mainstream smoke contents of commercial cigarette and decay ratios were dependent on first order kinetic. RSP/nicotine, solanesol and 3-EP were good predictors of ETS concentration in the public indoor field. The concentration ratio of vapor phase and particulate phase components is highly variable to assessment of indoor air quality with ETS. Key words : ETS, chamber study, ETS markers.

• Journal of the Korean Dietetic Association
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• v.14 no.4
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• pp.371-381
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• 2008

In order to elucidate the effects of a lacto-ovo vegetarian diet on serum lipid levels, 91 male collegians residing in the Seoul area were recruited. The vegetarians did not smoke tobacco nor drink alcohol. Their anthropometric measurements, dietary intakes, and blood lipid concentrations were compared to age-matched omnivorous controls. The subjects were divided into four groups. The four groups were: 1) NSNDV (n=25): Non Smoking Non Drinking Vegetarians, 2) NSNDO (n=10): Non Smoking Non Drinking Omnivores, 3) SDO (n=37): Smoking, Drinking Omnivores, 4) SDM (n=11): Smoking Drinking Meat-eaters. Total serum cholesterol, HDL-cholesterol and hematocrit were analyzed. The results were as follows: Weight (p<0.05) and BMI (p<0.01) were significantly higher in SDM than NSNDV. Dietary protein (p<0.01), iron (p<0.05) and dietary lipids (p<0.01) from animals in NSNDV were significantly lower than the results in the SDM. Interestingly enough, we noted no significant differences between the four groups in terms of average total dietary protein, dietary lipids and dietary iron, total serum cholesterol, or HDL-cholesterol. Dietary fiber intake was significantly higher in NSNDV than in SDM (p<0.05). Weight, BMI, and total cholesterol were significantly positively correlated with animal protein (p<0.05) and animal lipid (p<0.01) intake. These results showed that vegetarian collegians who haven't smoked tobacco nor drunk alcohol evidenced lower body weight, BMI, and dietary animal lipid intake, but higher dietary fiber intake, than the other three groups. Additionally, intake of animal protein (p<0.001) and intake of animal lipids (p<0.001) were significantly positively correlated with body weight, BMI, and total serum cholesterol in male collegians.