This study was done to determine the factors influencing smoking-cessation behavior in female university students. A total of 534 students participated in this cross sectional study by answering a questionnaire. The data collection was done between September 1 and October 31, 1997 The measurement tools used in this study were the self help change process scale (Cronbach's alpha=.9930 : developed by Oh & Kim, 1996) for smoking-cessation behaviors, the self efficacy scale(Cronbach's alpha=.8250 : developed by Sherer et al, 1982), the sex role acceptance scale (KR-20=.7757 : developed by Kim, 1991) and the social support scale(Cronbach's alpha=.9172 : developed by Park, 1985). The summarized results are follows : 1. The mean scores for smoking-cessation behaviors in smokers (N=150) was 91.72 that was considered a middle score compared to the total possible score of measurement tool (150.0). The mean score for smoking-cessation behaviors by smoking-cessation step showed significant different between the groups(F=11.71, p=.000). 2. The group with no experience in smoking(N=332) showed a high general self efficacy score (t=5.24, p=.000), and more openness to sex role acceptance(t=-2.15, p=.032) compared to the group with smoking experience (N=202). 3. General self efficacy, sex role acceptance, and social support were not different significantly between the groups according to the steps in smoking-cessation. 4. Significant factors influencing smoking-cessation behavior (total, sub concepts) were religion, sex role acceptance, social support, smoking duration, smoking attitude, time of smoking onset, amount of smoking, drinking, and perception of health status. 5. Smoking-cessation behaviors which explained 11% of the variance were smoking attitude, and smoking duration. In conclusion, this study identified factors influencing smoking-cessation behavior. Thereby it will help in the development of smoking-cessation intervention strategies. For future research, exploration other determinants of smoking cessation behaviors, evaluation of intervention efficiency, and comparative study by gender characteristics are needed.
Purpose : The purpose of this study was to investigate the relationship between smoking status, stress, self-efficacy for smoking cessation and the health promoting behaviors of students who want to quit smoking. Methods : Data was collected in 2018 from 143 college students (101 males and 42 females) who were enrolled in the health clinic of N university. The average age was 21.95 years. Multiple regression analysis and Pearson's correlation coefficient were used to analyzed the factors affecting health promoting behavior and the correlations between variables. Results : There were statistically significant correlations between stress and the following factors: smoking motivation (r=.323, p<.001), smoking behavior (r=.329, p<.001), and health promoting behaviors (r=-.312, p=.006). There were statistically significant correlations between Self-efficacy for smoking cessation and following factors: smoking motivation (r=-.278, p<.01), smoking behaviors (r=-.313, p<.001), and stress (r=-.324, p<.001). Health promoting behaviors were negatively correlated with smoking motivation (r=-.345, p<.05), smoking behaviors (r=-.312, p<.01), and stress (r=-.265, p<.001). Self-efficacy for smoking cessation was positively correlated with health-promoting behaviors (r=.421, p<.001). Multiple regression analysis revealed that the following factors exert a significant influence on health promoting behaviors: smoking motivation (${\beta}=-.376$, p=.001), smoking behaviors (${\beta}=-.233$, p=.008), stress (${\beta}=-.278$, p=.006), and self-efficacy for smoking cessation (${\beta}=.403$, p=.000). Conclusion : The results of this study suggest that it is important to provide basic data for the development of a program for the health-promoting behaviors of university students who want to quit smoking a smoking cessation clinic at the university health clinic. However, since only some college students were included in the study, there are limitations in generalizing the results.
Objectives: The purpose of this study is to evaluate the impact of psycho-social factors on smoking especially the impact of a social support and stress on smoking among boy's high school students. Methods: This study was conducted by administering a questionnaire to 442 boys' high school students living in Deajeon, Korea. This data were analyzed with the SPSS statistical package using t-test and logistic regression. Major findings of this study are as follows: Results: 1. Analysis of the relationship of smoking, stress and social support: The relationship between stress and smoking and between friend's support and smoking had a positive correlation. But the relationship between parents' support and smoking and between teacher's support and smoking had a negative correlation. 2. Multiple logistic analysis of the impact of stress, social support and general characteristics on smoking: The relationship between stress and smoking had a positive correlation as social support and general characteristics were controlled. In contrast, the relationship between social support -parents', friend's, teacher's support- and smoking had no significant correlations as stress and general characteristics were controlled. The risk factors of smoking of boy's high school students were smoking friends, drinking, a type of school, pocket money per month, and stress. And the most powerful predictor of smoking was smoking friends(OR=12.35). Conclusions: The results showed that the variables affecting mainly on smoking were the personal background -smoking friends, drinking, a type of school, pocket money per month- and stress. Therefore, these findings give useful information for constructing a program against smoking or educating about smoking.
Kim, Ikhan;Bahk, Jinwook;Yoon, Tae-Ho;Yun, Sung-Cheol;Khang, Young-Ho
Journal of Preventive Medicine and Public Health
/
제50권2호
/
pp.100-126
/
2017
Objectives: The aim of this study was to measure income differences in smoking prevalence at the district level and to investigate correlations among area deprivation, smoking prevalence, and income differences in smoking prevalence, stratified by urbanity. Methods: Data were pooled from the Community Health Survey data of South Korea between 2008 and 2014. The age-standardized prevalence of smoking and its interquintile income differences were calculated. We conducted correlation analyses to investigate the association of the deprivation index with smoking prevalence and interquintile differences in smoking prevalence. Results: Across 245 districts, the median prevalence of smoking in men was 45.9% (95% confidence interval [CI], 43.4 to 48.5%), with an interquartile range (IQR) of 4.6% points. In women, the median prevalence was 3.0% (95% CI, 2.4 to 3.6%) and IQR was 1.6% points. The median interquintile difference in smoking prevalence was 7.4% points (95% CI, 1.6 to 13.2% points) in men and 2.7% points (95% CI, 0.5 to 4.9% points) in women. The correlation coefficients for the association between the deprivation index and smoking prevalence was 0.58, 0.15, -0.22 in metropolitan, urban, and rural areas, respectively, among men, and 0.54, -0.33, -0.43 among women. No meaningful correlation was found between area deprivation and interquintile difference in smoking prevalence. The correlation between smoking prevalence and interquintile difference in smoking prevalence was more evident in women than in men. Conclusions: This study provides evidence of geographical variations in smoking prevalence and interquintile difference in smoking prevalence. Neither smoking prevalence nor the deprivation index was closely correlated with interquintile income difference in smoking prevalence. Measuring inequalities in smoking prevalence is crucial to developing policies aimed at reducing inequalities in smoking.
The purpose of this study was to investigate the nutritional status of serum minerals, ceruloplasmin, and ferroxidase activity in female adolescent students according to their smoking status. The subjects were 87 non-smokers and 88 smokers, who were female high school students. The smokers were divided into tow groups by smoking status, 35 light smokers(pack-year<1) and 53 smokers(pack-year$\geq$1). The serum concentrations of 6 minerals were determined by ICP emission spectroanalyzer. The serum concentration of ceruloplasmin and ceruloplasmin ferroxidase activity were determined. All data were statistically analyzed by SAS PC package program. The serum minerals concentrations of all subjects were in a normal range. There were significantly differences in the concentrations of serum copper, zinc, magnesium, and phosphorus by smoking status while there were no significant differences in the concentrations of serum iron and manganese by smoking status. Furthermore there were no significant differences in the ceruloplasmin concentration and ferroxidase activity by smoking status. In conclusion, smoking status altered the serum levels of some minerals in healthy young women. The minerals levels in light smokers with relatively short pack-year(pack-year<1) were altered compared to those in non-smokers or smokers. This finding seemed to be consistent with the results of previously published data related to antioxidant vitamin and lipid peroxide levels. However further research is needed to clarify these findings in female adolescent smokers.
Purpose: This study was done to investigate the effect of non-smoking campaign for subway workers on their health behavior such as smoking, drinking, and exercise. Method: The study was done on the subjects of 112 male employees for 3 years from 2003 to 2005 working at the Seoul Metropolitan Rapid Transit Corporation. However, the subjects decreased to 105 in 2004 and 111 in 2005 due to work transfer. The data were obtained through administering questionnaires. The non-smoking campaign was done with health education using various strategies and methods by an administrator-in-charge assisted by the community health center. Results: Smoking rate and cigarette consumption decreased but there was no statistical significance. Smokers' frequency of drinking and exercise were higher than that of non-smokers, but there was no statistical significance. Conclusion: The result indicated the program was not effective to change the subjects' health behavior; therefore, tailored program considering the subjects is recommended.
Objectives : To examine the correlation between obesity and blood pressure, smoking and drinking (define drinking: do you mean alcohol?) habit in adolescence. Methods : Data collected on 524 subjects from among Kyungwon University students who had participated in a health screening test were reviewed. With the exception of 20 subjects whose health status was deemed to be abnormal based on current illness or results of the health screening test, 504 healthy cases were analysed. We investigated the correlation between obesity as defined by BMI and blood pressure, smoking and drinking habit. Results : 1. The blood pressure of the obese group was high. 2. blood pressure was higher in smokers, and drinking did not influence blood pressure. 3. Smoking had an effect on obesity and drinking had no significant effect on obesity. Conclusions : Obesity is related to blood pressure and smoking habit. Drinking had no significant effect on obesity and blood pressure in this sample.
Objectives: This pre-post quasi-experimental study was designed to investigate the effects of school based smoking prevention education on knowledge and attitude toward smoking, and the satisfaction of education among middle school students. Methods: The subjects included 94 middle school students in the experimental group. and 87 students in the control group. The educational content contained smoking refusal skills, which were taught through lectures and videos. Data collection was achieved using a self-reported questionnaire developed by the investigator. Data were analyzed with the SPSS 10.0 program including frequency, percentile, X2, paired t-test, and ANCOVA. Results: The results were as follows: 1. After the smoking prevention education, the smoking knowledge of the experimental group was significantly improved, whereas that of control group didn't change significantly. 2. There were no significant differences between pretest and post test attitude scores in both groups. 3. Refusal skill was the education content that provided the highest satisfaction for the subjects, and the degree of satisfaction was higher with video watching than with a lecture. Conclusion: Smoking prevention education for middle school students increased their level of smoking knowledge, but did not affect their attitudes toward smoking. Therefore, it is necessary to develop a more effective program, and to evaluate the effects of a long term education program with further studies.
Background: Hookah smoking has been referred to as a global tobacco epidemic by public health officials. This study aimed to investigate the characteristics, behaviour and perceptions related to hookah smoking among the youth smokers in Pune. Methods: Two hundred and eighty established hookah smokers participated in this study. Data was collected using a 29-item questionnaire, constructed using three main domains: Characteristics (socio-demographic and personal), behaviour and perceptions (about harmful effects in comparison to cigarette smoking). Results: The results indicated that the mean age of starting hookah smoking was 17.3 years; 75% of participants did not have parental acceptance; light-headedness, dizziness and headache were most common reported nicotine effects, post hookah smoking. Hookah smoking on a daily basis was reported by 24.6% participants. The mean time of hookah session was 1 hour and 19 minutes. 68.2% participants were reported to smoke hookah in hookah-cafes and 35.7% participants were found to share the hookah. Some 66.7% participants had no intention to quit. Most of them (71-80%) had misperception about the safety of hookah smoking over cigarette smoking and 54-82% participants were unaware of health effects. Conclusions: Educational intervention is urgently needed to create awareness among the youth about the harmful effects of hookah smoking.
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.
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