Health Promotion ; Humans ; Singapore ; epidemiology ; Smoking ; epidemiology ; Smoking Cessation ; legislation & jurisprudence ; statistics & numerical data ; Smoking Prevention

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

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

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

OBJECTIVETo examine the association between social support and successful smoking cessation outcomes in males from rural areas.

METHODSA community-based case-control study was conducted with 642 adult male cases who appeared to be successful spontaneous smoking quitters as cases, together with other 700 adult males who failed quitting smoking to serve, as controls. Social Support Rating Scale (SSRS) was used to assess the individual social support. Multiple linear method was used to evaluate the relationship between social support and the outcome of successful cessation in smoking.

RESULTSAfter adjusting the potential confounders as age, education, marital status, profession, age of initial smoking and number of pack-years on smoking, the adjusted mean of subjective social support in successful quitters was significant lower than that in the failed ones (P<0.001). The differences of adjusted means between objective social support and its utility were not statistically different in the two groups among the population who recognized that cigarettes should always be provided when people interact with each other (P=0.124; P=0.763). However, the adjusted means of social support and the related three dimensions did not show significant differences in the two groups among the population in disapproval of the above said social norms (P>0.05).

CONCLUSIONData from our research indicated that social support would negatively affect the successful spontaneous cessation of smoking among people under unhealthy smoking culture.

Adult ; Case-Control Studies ; Humans ; Male ; Rural Population ; Smoking ; psychology ; Smoking Cessation ; psychology ; statistics & numerical data ; Smoking Prevention ; Social Support

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

OBJECTIVETo investigate the predictors for 'quitting' among male smokers in a smoking cessation clinic.

METHODSThe target population consisted of smokers who volunteered to seek treatment for cessation at our clinic in Beijing. Smokers received face-to-face counseling and psychological intervention at the first visit by trained physicians and standardized telephone discussion, was carried out with counselors at 1 week, 1/3/6 months a follow-up study. The main outcomes would involve 'successful quitting' at the 7-day point, continuous quit rates at 3 and 6 months as well as the predictors of 'quitting'.

RESULTSFrom October 2008 to December 2012, we collected 355 eligible male smokers among whom 255 had completed the 6-month follow-up program. Results from the analysis (n = 255) showed that the quitting rates at the 7-day point and 3 months were 34.9% and 25.5%, while the rates were 25.1% and 18.3% among the 355 smokers who had the intention for treatment. Data from the stepwise logistic regression model analysis showed that lower exhaled CO level at the first visit, higher perceived confidence in quitting, lower expenditure on cigarettes and had diagnosed tobacco-related chronic diseases by physicians, were important predictors for quitting smoking. The main reasons of failure to quit were addiction of tobacco cigarette, craving for cigarettes to relieve pressure from work, peer influence from other smokers, lack of mental preparation and perseverance to quit, etc.

CONCLUSIONSmokers who smoked less cigarettes, had higher perceived confidence in quitting and had physician-diagnosed tobacco-related chronic diseases seemed easier to quit. Regular follow-up intervention services for smokers should be established to enhance the motivation for quitting so as to create a favorable environment for the smokers.

Adult ; Counseling ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Smoking Cessation ; methods ; statistics & numerical data

Hospitals ; Humans ; Logistic Models ; Retrospective Studies ; Singapore ; Smoking Cessation ; methods ; statistics & numerical data

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

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 ; Cotinine ; Education ; Evaluation Studies as Topic ; Humans ; Public Health ; School Health Services ; Self Efficacy ; Smoke* ; Smoking Cessation* ; Smoking* ; Statistics as Topic