1.Live it up without lighting up.
Annals of the Academy of Medicine, Singapore 2012;41(5):184-186
2.Self-efficacy and Preparation of Smoking Cessation in Service and Sales Woman Smokers Working in Department Stores.
Yeongmi HA ; Ki Soo PARK ; Hyeok CHOI ; Seungkyoung YANG
Korean Journal of Occupational Health Nursing 2016;25(3):168-176
PURPOSE: The purpose of this cross-sectional study was to describe smoking characteristics, and then to examine relationships between self-efficacy for smoking cessation and preparation of smoking cessation in service and sales woman employee with smoking in department stores. METHODS: This study was a secondary data analysis carried by the smoking cessation support center. One hundred six employees smoking women participated from two department stores. Collected data were analyzed using SPSS 20.0 program. Descriptive statistics, t-test, one-way ANOVA along with Scheffé test, pearson correlation coefficients were used for statistics. RESULTS: The study results have shown that the mean score of self-efficacy for smoking cessation 5.1±2.62, preparation smoking cessation 4.0±2.89. There was positive relation between self-efficacy for smoking cessation and preparation smoking cessation. CONCLUSION: Considering the findings from this study, there is a need to develop self-efficacy for smoking cessation program for effective smoking cessation in service and sales woman smokers employee.
Commerce*
;
Cross-Sectional Studies
;
Female
;
Humans
;
Smoke*
;
Smoking Cessation*
;
Smoking*
;
Statistics as Topic
3.A Survey on Frequencies of Smoking Cessation Intervention for Patients Among Clinical Nurses.
Journal of Korean Academy of Nursing 2006;36(1):144-150
PURPOSE: This study was conducted to 1) find out the characteristic of smoke related characteristics of nurses. 2) find out the frequency of Smoking cessation intervention delivered by nurses. 3) compare the differences in mean scores of smoking cessation interventions by general characteristics. METHOD: The survey questionnaire was mailed out to nurses who were working at the randomly selected hospitals throughout the country from November 28, 2003 to February 15, 2004. RESULT: 0.6% of nurses were current smokers 40.7% of nurses have attended smoking cessation education. Nurses who were older, had masters degree, had oncology experience, higher position, participated in smoking cessation education, and had smoking related disease among family members were variables related to higher frequencies in delivering tobacco interventions. CONCLUSION: Although nurses are in an important position in delivering tobacco interventions and provide resources, their participation in consistent delivery of an intervention is less than desirable. To help nurses to participate in the assessment of tobacco use and interventions for cessation, the development of educational program is necessary.
*Smoking Cessation/statistics & numerical data
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Smoking/epidemiology
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Nurses/*statistics & numerical data
;
Humans
;
Health Promotion
;
Female
;
Data Collection
;
Adult
4.A Survey on Frequencies of Smoking Cessation Intervention for Patients Among Clinical Nurses.
Journal of Korean Academy of Nursing 2006;36(1):144-150
PURPOSE: This study was conducted to 1) find out the characteristic of smoke related characteristics of nurses. 2) find out the frequency of Smoking cessation intervention delivered by nurses. 3) compare the differences in mean scores of smoking cessation interventions by general characteristics. METHOD: The survey questionnaire was mailed out to nurses who were working at the randomly selected hospitals throughout the country from November 28, 2003 to February 15, 2004. RESULT: 0.6% of nurses were current smokers 40.7% of nurses have attended smoking cessation education. Nurses who were older, had masters degree, had oncology experience, higher position, participated in smoking cessation education, and had smoking related disease among family members were variables related to higher frequencies in delivering tobacco interventions. CONCLUSION: Although nurses are in an important position in delivering tobacco interventions and provide resources, their participation in consistent delivery of an intervention is less than desirable. To help nurses to participate in the assessment of tobacco use and interventions for cessation, the development of educational program is necessary.
*Smoking Cessation/statistics & numerical data
;
Smoking/epidemiology
;
Nurses/*statistics & numerical data
;
Humans
;
Health Promotion
;
Female
;
Data Collection
;
Adult
5.Dominance analysis on the association between reasons for smoking and results related to successful smoking cessation.
Mingkui HAN ; Yunping ZHOU ; Suyun LI ; Lulu PAN ; Xiaorong YANG ; Huijie LI ; Fan JIANG ; Nan ZHANG ; Chongqi JIA
Chinese Journal of Epidemiology 2014;35(10):1083-1086
OBJECTIVETo study the association between reasons for smoking and results related to successful smoking cessation.
METHODSA community-based case-control study was conducted with 642 male adults recognized as successful spontaneous smoking quitters being the subject cases while another 700 male adults who had failed to quit smoking were served as the controls. Russell Reason for Smoking Questionnaire (RRSQ) was used to investigate the reasons for smoking. Dominance logistic regression was performed to determine the relative importance of reasons for starting smoking and the endpoint of successful quit smoking.
RESULTSAfter adjusting the potential confounders of age, age of smoking initiation, marital status, profession, and education, the adjusted means of sedative and stimulation of RRSQ in the successful quitters were significant lower than that in the failed quitters. Results from the dominance logistic regression showed that the first two important factors for smoking cessation were sedative and stimulation of RRSQ, followed by psychological image, automatic, hand-mouth activity, indulgence, and addiction.
CONCLUSIONThis study demonstrated that factors as dependence-addiction showed more important impacts than the social-psychological ones on the endpoint of successful smoking cessation.
Adult ; Behavior, Addictive ; Case-Control Studies ; Humans ; Male ; Smoking ; psychology ; Smoking Cessation ; statistics & numerical data ; Smoking Prevention ; Surveys and Questionnaires
6.Smoking cessation among rural populations in Beijing.
Acta Academiae Medicinae Sinicae 2014;36(5):501-505
OBJECTIVETo survey the smoking cessation among rural populations in Beijing.
METHODSOne natural village in Beijing suburb was sampled and all the 1901 villagers were surveyed by face-to-face interview to collect information on smoking status and smoking cessation. The potential factors related with smoking prevalence and smoking cessation were analzyed.
RESULTSThe response rate was 91.2%. The ever-smoking rate was 35.8%. Among the 621 ever-smokers, 35.5% had tried or were trying to quit smoking. The vast majority (93.9%) of smoking cessation methods was self-service method. The overall rate of abstinence was 12.4%, and the success rate was higher in those groups of elder age, lower educational level, lower income level, having respiratory symptoms, and/or without nicotine dependence. There were 291 responders (46.9%) had the willingness to quit. Responders at older age, having respiratory symptoms, or with nicotine dependence had higher willingness to quit.
CONCLUSIONSThe tobacco control efforts in rural areas should be strengthened. In part of motivated intervention, the advice should be given from the family, friends, doctors to young, asymptomatic smokers.
Adult ; China ; Female ; Humans ; Male ; Middle Aged ; Rural Population ; Smoking Cessation ; statistics & numerical data
8.Effects of a Strength Based I-Change Smoking Cessation Program for Smoking Middle School Boys.
Journal of Korean Academy of Nursing 2017;47(2):164-177
PURPOSE: This study was done to develop a strength based I-change smoking cessation program for middle school boys and identified its effects. METHODS: The study design was a nonequivalent control group pre-post test design. The participants were 97 middle school students from D city, who were in school from April 6 to September 25, 2015. The experimental group participated in the strength based I-change smoking cessation program, while the comparative group participated in a general smoking cessation program. The control group did not participate in any program. Data analyses involved χ²-test, Fishers' exact test, Bonferroni test, and Repeated measures ANOVA, with the IBM SPSS for Windows (version 20.0) program. RESULTS: Compared to the comparison and control groups, the experimental group showed significant improvement in knowledge, attitude, self-efficacy, behavior change. Also cotinine in urine and modeling of social influence in the experimental group significantly decreased after the strength based I-change smoking cessation program. CONCLUSION: These findings indicate that the strength based I-change smoking cessation program is an effective intervention for middle school boys who smoke. The findings suggest that such programs can be used at public health centers or through school health education to decrease smoking in adolescents.
Adolescent
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Cotinine
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Education
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Evaluation Studies as Topic
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Humans
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Public Health
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School Health Services
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Self Efficacy
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Smoke*
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Smoking Cessation*
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Smoking*
;
Statistics as Topic
9.Predictors of Intention to Quit Smoking in Elderly Smokers following a Stroke.
Journal of Korean Academy of Fundamental Nursing 2014;21(1):48-56
PURPOSE: This study was done to identify factors based on the theory of planned behavior that predict smoking cessation in elderly smokers following a stroke. METHOD: Between March and May 2013, data related to intention, attitude toward the behavior, subjective norm, and perceived behavioral control, were collected through questionnaire from 223 elders who smoked and who had a stroke. Data analysis was performed using PASW (SPSS) 18.0 program, and included t-test, one-way ANOVA, Pearson correlation coefficients, and multiple stepwise liner regression analysis. RESULTS: Results showed a positive correlation between intention and attitude toward the behavior (r=.494, p<.001), subjective norm (r=.390, p<.001), and perceived behavioral control (r=.189, p=.005). These variables such as perceived behavior control, subjective norm, number of cigarettes per day, and usefulness of quitting smoking explained 50% of intention to quit smoking. CONCLUSION: The results of this study indicate that there is a need to develop smoking cessation nursing strategies for elderly smokers following a stroke in order to provide effective counseling on subjective norm and perceived behavioral control.
Aged*
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Behavior Control
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Counseling
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Humans
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Intention*
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Nursing
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Surveys and Questionnaires
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Smoke*
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Smoking Cessation
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Smoking*
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Statistics as Topic
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Stroke*
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Tobacco Products
10.Smoking and passive smoking in Chinese, 2002.
Gong-huan YANG ; Jie-min MA ; Na LIU ; Ling-ni ZHOU
Chinese Journal of Epidemiology 2005;26(2):77-83
OBJECTIVETo describe the prevalence of smoking, quitting smoke, and passive smoking in different populations by education status, occupation and geographic distribution.
METHODSSurveillance on risk behaviors in 145 disease surveillance points (DSP) was carried out in 2002 by multi-steps random sampling through questionnaires. 16,407 records had been completed with 16 056 used for analysis. Indicators as smoking, current smoking, average cigarettes smoked and the cost per day, etc., were calculated by weight on age proportions from the 2000 census.
RESULTSEver-smoking rates in males and females aged 15 and over were 66.0% and 3.1%, respectively with ever-smoking rate dropped 1.8% in whole population, but increased in people aged 15-24. The number of total smokers was about 350 million, 30 million more than that in 1996. There were no obvious geographic differences seen among male, but big difference was seen in female smokers. Higher smoking rates were seen in the northeast and northern parts of the country. Rate of quitting smoking was increasing, from 9.42% in 1996 to 11.5% in 2002, referring to an increase of 10 million quitters. However, the rate of no intention to quit among smokers was still very high--74%. The average cigarettes consumption per person-day was the same as that in 1996--14.8 cigarettes/day, which cost 2.73 RBM/day. The cost was various in different groups of population with a 15 times difference. The level of exposure for passive smokers was not improved. The prevalence of passive smoking in nonsmokers were 53% in 1996 and 52% in 2002. Knowledge on smoking and health condition in population had been greatly improved, but still poor in the western areas. 60% of the people claimed in supporting banning of smoking in public places, 45% supporting the banning of all cigarettes ads, but big difference was seen in different geographic areas.
CONCLUSIONThe prevalence of smoking in Chinese males had reached its peak, leveling but had not yet obvious dropped. Communication on the knowledge of harm in smoking remained weak since people did not understand or support the strategies on tobacco control, especially in the western areas. Data indicated that the prevalence of tobacco use would not decrease over in short period and the disease burden caused by tobacco use would still be heavy in the next 30-50 years. The government and public health authorities should develop effective tobacco control in no time to decrease disease burden caused by smoking and passive smoking.
Adolescent ; Adult ; Attitude to Health ; China ; epidemiology ; Female ; Humans ; Male ; Prevalence ; Smoking ; epidemiology ; Smoking Cessation ; statistics & numerical data ; Surveys and Questionnaires ; Tobacco Smoke Pollution ; statistics & numerical data ; Tobacco Use Disorder