• The Korean Journal of Food And Nutrition
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• v.26 no.4
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• pp.713-724
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• 2013

This study examines the effects of smoking on the health and nutrient intake of male adults. The subjects recruited are divided into two groups according to non-smokers (n=64), and smokers (n=50). The results show that the non-smokers are significantly more interested in health and maintain more frequency of weekly exercise as compared to the smokers. Smokers reported that the main reason for failures in quitting attempts was a lack of willingness (62.0%). 44.0% of smoker would be interested in attending a smoking cessation program if they had the opportunities to do so. The non-smoker is considered healthy, and ate a regular diet, and low in fat-rich foods compared to the smokers. The non-smokers and smokers consume lower intakes of vitamin $B_2$, folic acid, and calcium (Ca). On the other hand, intakes of phosphorus, and sodium are the highest among all groups. In the case of smokers, increased intakes of antioxidant-rich fruits and vegetables should be encouraged, and the nutrition education for low-salt-type foods is also recommended.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.558-568
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• 2017

The purpose of this study was to identify the factors influencing insufficient physical activity in older cancer patients. Data were analyzed from the 2014 Survey of Living Condition of Elderly study. Metabolic Equivalent Tasks(MET) hours were calculated using self-reported weekly frequency, duration and types of physical activities to measure the degree of physical activity. Factors influencing insufficient physical activity in older adults included limitations in ADL and IADL, depression, impaired cognitive function, current smoker, lower levels of social activity participation and life satisfaction with social or leisure activities. When adjusted for demographic factors, patients with ADL limitation had 2.8 times (OR=2.762, CI=1.110, 7.952) higher risks of insufficient physical activities than those without. Current smokers had 2.4 times (OR=2.426, CI=1.113, 5.288) higher risks than non-smokers.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.11
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• pp.4563-4570
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• 2015

Background: Smoking is a learnt behavior during adolescence and understanding the factor/s associated with smoking will assist in identifying suitable measures in combating the rising prevalence of smoking among adolescents. This research aimed to identify the factor/s associated with smoking among form four students in Kota Tinggi, Johor. Multistage sampling was used to select a representative sample of students in 2008 and data were collected using a self-administered validated questionnaire. This study revealed that the overall smoking prevalence was 19.0% with a significantly higher proportion of male smokers (35.8%) as compared to females (3.15%). Adolescents who were male (aOR 6.6, 95%CI 2.61-16.4), those who had peer/s who smoked (aOR 4.03, 95% CI 1.31-12.4), and those who studied in rural areas and Felda Settlements ( aOR 4.59, 95 CI 1.11-18.0; aOR 9.42, 95%CI 3.91-29.1) were more likely to smoke in the past one week. On the other hand, adolescents with better knowledge on the hazards of smoking and negative attitudes towards smoking were less likely to smoke (aOR 0.51, 95%CI 0.37-0.72; aOR 0.67, 95%CI 0.46-0.99). Future promotional and interventional programmes on smoking should be considered and the above identified risk factors integrated to reduce smoking prevalence among students of school-going ages in Kota Tinggi. Johor.

• Korean Journal of Health Education and Promotion
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• v.23 no.1
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• pp.23-43
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• 2006

Objectives: To investigate the drinking behavior and related factors of community residents in G city. Methods: Examination was executed with questionnaire to 1973 adults. Data were collected from October 1, 2005 to November 16, 2005. Drinking behavior involves rate of drinking, frequency of drinking, age of starting drinking, drinking amount, rate of attempts to drink moderately and reasons for reducing drinking. Related factors involves the general characteristics, the habits of health behaviors. This was analyzed with frequency, percentage, mean, standard deviation, x2-test, t-test, ANOVA and logistic regression. Results: The drinking rate of the respondents was 67.4%, that rate of male was 83.1%, while that rate of female was 52.5%. The drinking rate was higher in groups of younger aged and highly educated people than that rate of the other groups. The highest level of drinking frequency was ones or twice a week. The drinking frequency of those who drank more than three times weekly was higher in the groups of male, old aged, married people, low educated people, rural residents, farmers or fisherman or laborers and those who unemployed or who did not exercise frequently and control their body weight. These individuals also preferred salty food and meat and fish, dined out frequently, did not visit dental clinic regularly, and tend to be smokers. The mean of the age of starting drinking was 21.17 year-old, that of males was 19.94 year-old, that of females was 22.82 year-old. The mean of the age of starting drinking was lower in groups of male, young aged, unmarried, college educated, rural residents, clerks, high monthly income, healthy and no illness, and smokers than that of the other group. The average of the drinking amount was 5.77 pack, that of males was 7.41 pack, and that of females was 3.31 pack. The drinking amount is much more in groups of males, fifties, unmarried, college educated, rural residents, self-employed, healthy people, and smoker than the other. 33.4% of the respondents attempted to drink moderately. According to the reasons of trying to drink moderately, the rate of prevention illness was highest. Conclusions: The variables of influencing drinking were sex, marital status, education, smoking, monthly income, health status, and stress.