Introduction: Smoking is prevalent among Filipinos, but little is known about whether this is associated with the rapid decline of the renal function among patients with existing chronic kidney disease (CKD). The purpose of this study is to investigate whether or not there is a direct relationship of smoking to the progression of CKD requiring patient to be on dialysis/renal replacement therapy.

Methods: A cross-sectional, retrospective study design was used. All CKD 5D patients of the Amang Rodriguez Memorial Medical Center (ARMMC) Hemodialysis (HD) Unit in the month of July to August, 2019 were included, if they are > 18yo, regardless of their co-morbidities. Excluded are those with acute kidney injury (AKI), and iatrogenic, surgical or trauma complications that cause renal dysfunction. Charts were reviewed and 55 patients qualified. Smoking status were grouped according to the US Centers for Disease Control (CDC) smoking definitions, either never, former and current smoker. Estimated glomerular filtration rate (eGFR) Creatinine were computed using the CKD-Epi formula 3-yr, 2-yr, 1-yr and 0-yr prior to HD. The main outcome measure was whether and what among the smoking status hastens the progression of CKD. Descriptive statistical analyses were done along with one-way variance, two-way variance, and chi-square.

Results: Most of the smokers were males (p < 0.001). Most of the participants had diabetes as the primary illness. All of the participants had same endpoint of having eGFR < 15 at the time of dialysis initiation. There was a significant progressive decrease from eGFR3 to eGFR0 in all smoking status. Current smokers have the highest significant reduction in eGFR (p <0.001).

Conclusion: Smoking hastens the progression of CKD among Filipinos. With that, we support the smoking cessation campaign of the ARMMC and the DOH. In addition, further work up is suggested to determine the primary mechanistic pathway of smoking that affects the renal cells.

OBJECTIVES: This study was performed to understand farmers' health status by general characteristic, and to find out the related factors. METHODS: All the 984 subjects were interviewed by means of a structured questionnaire and SF-12. Among them, only 812 were eligible for analysis. Statistical methods used included frequency, t-test, ANOVA, binary logistic regression with SPSS 19.0. RESULTS: In binary logistic regression, marital status, smoking, regular exercise and monthly day off were associated with physical component score. Marital status, smoking and score of pesticide protective device wearing were associated with mental component score. CONCLUSIONS: This study suggests that effort to develop health promotion programs for workers of agricultural industry considering these results can improve their perceived health status.
Health Promotion ; Logistic Models ; Marital Status ; Protective Devices ; Smoke ; Smoking

BACKGROUND: The smoking rate of Korean male workers is top in the world. To establish the effective smoking cessation strategy, we conducted a study to evaluate the factors associated with smoking and smoking cessation. METHODS: We surveyed 509 male workers in a university hospital about age, marital status, drinking, exercise level and checked their awareness and seriousness for diseases due to smoking, benefits from smoking cessation, motivation derived from massmedi and books and their will to quit smoking by self-administerd questionnaire. RESULTS: The significant factors associated with smoking cessation were higher education (OR=1.85, 95% CI 1.26-2.74), non-religion (OR=0.56, 95% CI 0.38-0.83), drinking (OR=0.40, 95% CI 0.27-0.61), awareness (OR=1.30, 95% CI OR=1.03-3.25) and seriousness (OR=1.29, 95% CI 1.19-1.39) for smoking related disease, benefit (OR=1.21, 95% CI 1.16-1.27), and barrier (OR=0.78, 95% CI 0.74-0.83), motivation (OR=1.21, 95% CI 1.12-1.30), and the will to quit smoking (OR=1.70, 95% CI 1.56-1.85). CONCLUSION: This study suggested that effective smoking cessation program should be based on awareness and seriousness due to smoking related diseases, health benefit and barrier to quitting smoking, company's support, the individual's will to quit and various motivation methods.
Drinking ; Education ; Humans ; Insurance Benefits ; Male* ; Marital Status ; Motivation ; Smoke* ; Smoking Cessation* ; Smoking* ; Surveys and Questionnaires

PURPOSE: The specific aims of this study was to find out the barrier to smoking cessation intervention in clinical practice among clinical nurses and compare them in high barrier group with those in the low barrier group. METHOD: The sample of this study consisted of 738 nurses practicing in general hospitals with over 400 beds throughout the country. The questionnaire was adopted from the 'Oncology Nurse's Tobacco Control Survey' used in the United Stated by Sarna et al.(2001). RESULT: Age, marital status, hospital experience, position were the variables related to the mean score of subjective resource insufficiency. The perception that the patient was not motivated to quit smoking was the most commonly identified barrier in low barrier group and the second most common barrier in high barrier group. CONCLUSION: Younger, with less clinical experience, single, staff nurses were the characteristics of nurses in the high barrier group. The smoking cessation educational program should be targeted to these populations. Further research is needed to develope strategies to reduce the perception associated with barriers in delivery of tobacco cessation interventions.
Hospitals, General ; Humans ; Marital Status ; Smoke* ; Smoking Cessation* ; Smoking* ; Tobacco ; Tobacco Use Cessation ; Surveys and Questionnaires

OBJECTIVES: The purpose of this study was to investigate the factors involved in the success of smoking cessation in heavy smokers enrolled in an intensive care smoking cessation camp program. METHODS: Heavy smokers enrolled in the program were classified into a success (n = 69) or failure (n = 29) group, according to whether they maintained smoking cessation for 6 months after the end of the program. Demographics, smoking behaviors, and smoking cessation-related characteristics were analyzed. RESULTS: Statistically significantly more participants in the success group had a spouse (98.6%; p = 0.008) compared with participants in the failure group (82.8%). However, multivariate logistic regression analysis indicated that having a spouse was not an independent factor in smoking cessation (p = 0.349). A significant difference in the frequency of counseling between the success and failure groups was observed (p = 0.001), with 72.5% of those who received counseling on 3–5 occasions for 6 months after the end of program successfully quit smoking, indicating that those who received more counseling had a higher likelihood of smoking cessation success. This was confirmed as an independent factor by multivariate logistic regression (p < 0.005). Furthermore, a graduate school level of education or higher, indicated a statistically greater success rate compared to those that were less well educated (p = 0.043). This was also observed as a significant independent factor using multivariate logistic regression (p = 0.046). CONCLUSION: Education level, marital status, and the number of counseling sessions were significant factors contributing to smoking cessation success.
Counseling ; Critical Care* ; Demography ; Education ; Humans ; Logistic Models ; Marital Status ; Smoke* ; Smoking Cessation* ; Smoking* ; Spouses ; Tobacco*

BACKGROUND: Recently, a variety of cigarettes which contain a low content of nicotine are on the market and the nicotine tends to be reduced continuously. However, studies have not yet fully demonstrated that low-nicotine cigarettes are subservient to quitting smoking. This study was designed to investigate the effects of the nicotine content on smoking attitudes and on the factors associated with successful smoking cessation. METHODS: One hundred twenty-five adult smokers, who had undergone a health examination in a general hospital, had their carbon monoxide measured after responding to the questionnaire. The items of questionnaire consisted of the duration of smoking, the age of starting to smoke, the number of attempts to stop smoking, recognition of nicotine dependence, and nicotine dependence score. RESULTS: The subjects consisted of two groups. One group was low nicotine group and the nicotine content was lower than 0.35 mg per cigarette. The other group was high nicotine group and the nicotine content was over 0.35 mg per cigarette. he age was younger and duration of smoking was shorter in low nicotine group. Monthly income, last schooling and number of attempts to stop smoking were higher in low nicotine group. There was no statistical significant differences between the two groups in the frequency of alcohol drinking, the age of starting to smoke, marital status, nicotine dependence, carbon monoxide concentration and recognition of nicotine dependence. CONCLUSION: As there was no differences in smoking habits which has infl uence on achieving quit smoking of low nicotine group, we made our conclusion that low nicotine cigarette might be unhelpful in quit smoking.
Adult ; Alcohol Drinking ; Carbon Monoxide ; Hospitals, General ; Humans ; Marital Status ; Nicotine ; Smoke ; Smoking ; Smoking Cessation ; Tobacco Products ; Tobacco Use Disorder

PURPOSE: This study was to investigate the factors influencing hotel workers' health practice. METHODS: This study was based on the partial PRECEDE model. The subjects of this study were 261 servers sampled at random from a hotel located in Seoul. For the statistical analysis of collected data, descriptive statistics, t-test, ANOVA and logistic regression were performed with the SAS (Version. 8.01) program. RESULTS: There were statistically significant primary factors influencing different parts of health practice. That is, regular exercise was influenced by gender, age and marital status, diet habit was by marital status, and type of working, prohibition of smoking was by gender, age and type of employment, and drinking by gender and job stress. CONCLUSION: This study has a limitation in generalized application to hotels in this country because it is a cross-sectional examination about the factors affecting health practice in the employees of a hotel. Further study is needed with various and broad variables that promote health practice and contributed to the development of health promotion programs.
Drinking ; Employment ; Food Habits ; Health Promotion ; Logistic Models ; Marital Status ; Seoul ; Smoke ; Smoking

This study was conducted to reveal nutrient intakes and factors affecting the nutritional status of elderly women in a rural area. The data of dietary intakes were obtained using 24hour recall data which were collected from 244 women subjects older than fifty years old. The data from the questionnaire regarding eating habits were obtained through interview. The education level and economic status of the subjects in this study were very low and education level(p<0.001), occupation(p<0.001), marital status(p<0.001), family size(p<0.05) and smoking habit(p<0.05) were significantly different among different age groups. The nutrient intakes of all age groups were not adequate to RDA level-specially, micronutrient intakes were lower in those in their sixties compared to those in their fifties. Important factors associated with variation in nutrient intakes of subjects were beef preference, regular eating habits, and education level. Therefore it is necessary to focus on subjects with low education levels and low income in order to improve the health and nutritional atatus of the elderly in rural areas. It is necessary to prepare a nutritional education program to establish and maintain good eating habits of the elderly in rural areas.
Aged ; Eating ; Education ; Female ; Humans ; Micronutrients ; Nutritional Status ; Smoke ; Smoking ; Surveys and Questionnaires

OBJECTIVES: This study was carried out to analyze and compare the occupational factors that could influence changes in body mass index (BMI) in male manual workers stratified into short-term and long-term work experience groups. METHODS: The subjects were 299 male manual workers (sampled systematically) from 27 workplaces, who had undergone travelling medical examinations at a university hospital between March 28 and May 10, 2013, and had also undergone medical examinations at the same hospital in 2012. Their general and occupational characteristics were investigated through a structured, self-administered questionnaire. The BMI at each point in time was calculated based on the anthropometric results of the medical examinations. Multiple regression analyses were conducted on outcomes of the BMI change and predictors composed of the general and occupational characteristics, with the subjects stratified into groups with 5 years or less (short-term) versus more than 5 years (long-term) of work experience at the present post. RESULTS: In the short-term work experience group, the BMI increases of 3-shift workers and groups reporting disagreement with feeling "insufficient job control" and "lack of reward" at work, two of the subscales of job stress, were significantly higher than those of daytime workers and high-stress groups, respectively. In the long-term work experience group, However, although the BMI increase for 3-shift workers was also significantly higher than that of daytime workers, none of the job stress factors were significantly associated with a BMI increase, whereas the social factors of education and marital status were significant, and some lifestyle factors (such as smoking and regular exercise) were also significant. CONCLUSION: This study showed that, except for 3-shift work, the factors associated with BMI increase could differ depending on the length of job experience. Consequently, different strategies may be needed for workers with short-term versus long-term job experience when designing interventions for preventing their obesity.
Body Mass Index* ; Education ; Humans ; Life Style ; Male* ; Marital Status ; Obesity ; Occupations ; Smoke ; Smoking ; Surveys and Questionnaires

PURPOSE: The purpose of this study was to investigate the effects of shift work and hours of sleep on metabolic syndrome in Korean workers. METHODS: This study used the Korean National Health and Nutrition Examination Survey data of 2014. The study included 1,579 Korean workers aged over 20. χ2 test, t-test, and hierarchical multiple logistic regression were used for statistical analysis of data. RESULTS: From the univariate analysis, hours of sleep, regular work, occupational group, sex, age, marital status, education, smoking, and self-rated health were significantly related to metabolic syndrome. After adjusting demographic, occupational, and health-related variables, workers with under 6 hours/day of sleep showed higher risk for metabolic syndrome (AOR: 1.56, 95% CI: 1.01~2.44), and shift work was not significantly related to metabolic syndrome. Male laborers and workers aged 40 or older also showed higher risk for metabolic syndrome. CONCLUSION: Results of this study suggest that workers with under 6 hours of sleep, male laborers and workers aged 40 or older are the risk groups of metabolic syndrome. Therefore, prevention and management program for metabolic syndrome should be implemented for this population.
Education ; Humans ; Logistic Models ; Male ; Marital Status ; Nutrition Surveys ; Occupational Groups ; Smoke ; Smoking