• Health Policy and Management
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• v.19 no.4
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• pp.1-17
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• 2009

The purpose of this study was to find factors affecting health of the rural residents. The data were collected from a sample of 2,587 people aged from 40 to 70 in the year 2005-2006, Wonju City and Pyeongchang County, Gangwon-do, Korea. The theoretical model adopted in this study was the Lalonde's health field(human biology, environment, lifestyle, and health care organization). SF-12 was used to measure subjective health status. In the category of human biology, men were healthier than women. Age and BMI showed negative relation to health status. Income, education and social support showed positive relation to health status in the environment category. In the category of life style, stress showed negative relation to health status. Medical expenses showed negative relation to health status in the category of health care organization. After converting SF-12 score to percentage score, the health determinants portions were 47% lifestyle, 26% environment, 18% human biology and 9% health care organization. These findings suggest that life style, environment and biology are main factors in determinants of health. Especially stress in the life style category is more focused for the community health promotion. We also may be able to improve income, education and social support in the environment category with self empowerment efforts, community supports and government helps. Finally greater attention must be payed to life style in the future health planning and budget allocation priority in the healthcare area.

• Korean Journal of Health Education and Promotion
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• v.24 no.1
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• pp.17-28
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• 2007

Objective: To find the relevant stress factors of male and female employees. Method: The survey was collected from April 7th to May 10th in 2006 by formalized questionnaires targeted on male and female employees. The research used both quota sampling and accidental sampling to collect the data. Results: 1) It was found that relevant factors are related with ages in general traits for male employees and associated with ages, marital status and education level in general traits for female employees. In other words, age is the primary factor for both male and female employees at age 20s, and as the marital status is single and the education level is lower, the stress level is higher for female employees. 2) Occupation is the main relevant stress factor for male employees in employment traits and the period of employment, working hour and wages are relevant stress factors to the level of stress for female employees. That is to say, manufacture related job shows higher level of stress than other jobs for both male and female employees. As period of employment and working hour is shorter and wages are less, it appears to be high stress level for female employees. 3) It presents that stress level is decided based on if he exercises regularly or keeps regular hours for male employees in lifestyle aspect and it also shows drinking is an additional relevant stress factor to conclude the level of stress for female employees. So to speak, as the regular exercise is performed and regular hours are kept, it comes out low level of stress for both. In addition, it shows lower stress level from the group of female employees who do not drink than the other. Conclusion: The research is summarized that no matter what gender you are, both male and female employees should try to have a positive lifestyle. Specially, the research concludes that the regular exercise is the best way to get rid of stress.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.1993-1999
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• 2014

Background: This study aimed to explore the role of XRCC1 (Arg399Gln) and XPD (Lys751Gln) gene polymorphisms, lifestyle and environmental factors as well as their possible interactions in propensity to develop lung cancer in a population with high incidence from North East India. Materials and Methods: A total of 272 lung cancer cases and 544 controls were collected and XRCC1 (Arg399Gln) and XPD (Lys751Gln) genotypes were analyzed using a polymerase chain reaction based restriction fragment length polymorphism assay. Conditional multiple logistic regression analysis was used to calculate adjusted odds ratios and 95% confidence intervals after adjusting for confounding factors. Results: The combined Gln/Gln genotype of XRCC1 and XPD genes (OR=2.78, CI=1.05-7.38; p=0.040) was significantly associated with increased risk for lung cancer. Interaction of XRCC1Gln/Gln genotype with exposure of wood combustion (OR=2.56, CI=1.16-5.66; p=0.020), exposure of cooking oil fumes (OR=3.45, CI=1.39-8.58; p=0.008) and tobacco smoking (OR=2.54, CI=1.21-5.32; p=0.014) and interaction of XPD with betel quid chewing (OR=2.31, CI=1.23-4.32; p=0.009) and tobacco smoking (OR=2.13, CI=1.12-4.05; p=0.022) were found to be significantly associated with increased risk for lung cancer. Conclusions: Gln/Gln alleles of both XRCC1 and XPD genes appear to amplify the effects of household exposure, smoking and betel quid chewing on lung cancer risk in the study population.

• The Korean Journal of Pain
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• v.33 no.3
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• pp.245-257
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• 2020

Background: Musculoskeletal pain is associated with obesity; however, information on factors associated with pain in adults with obesity and severe obesity is limited. The purpose of this study was to assess the prevalence of musculoskeletal pain by site and intensity of pain and associated factors in individuals with severe obesity (body mass index ≥ 35.0 kg/㎡). Methods: Baseline data from the DieTBra Trial study evaluating pain symptoms in nine body regions over the last seven days using the Nordic Questionnaire on Musculoskeletal Symptoms and Numerical Pain Scale. The variables analyzed using multiple Poisson regression with hierarchical analysis were: sociodemographic, lifestyle, food consumption, clinical, and anthropometric, and the outcome was moderate and intense pain. Results: In 150 participants, there was a high prevalence of ankle and foot pain (68.7%), lower back pain (62.7%), pain in the knees (53.3%) and upper back pain (52.0%), with a predominance of intense pain. Factors associated with pain according to specific sites were: type 2 diabetes with hand/wrist pain; sedentary time with hip pain; insomnia with pain in the hip and knee; edema in the lower limbs with pain in the lower back and ankles/feet; degree of obesity with ankle/foot pain; and percentage of total fat with ankle/foot pain. Conclusions: There was a high prevalence of pain and intense pain in individuals with severe obesity and an association with clinical variables, the degree of obesity, and sedentary lifestyle.

• Tuberculosis and Respiratory Diseases
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• v.84 no.2
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• pp.140-147
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• 2021

Background: For generations, cigarette smoking has presented an important public health concern. This study aimed to compare the health-promoting behavior, exercise capacity, physical activity level, health literacy, and knowledge level of smoking-related diseases between smokers and non-smokers. Methods: The study included 71 smokers (mean age, 32.69±8.55 years) and 72 non-smokers (mean age, 31.88±9.94 years) between the ages of 20 and 60 years. Assessments included a 6-minute walking test (6MWT), Godin Leisure-Time Physical Activity Questionnaire, Health-Promoting Lifestyle Profile II (HPLP-II), Cardiovascular Risk Factors Knowledge Level Scale (CARRF-KL), Asthma/COPD Awareness Questionnaire, the World Health Organization Quality of Life-Bref questionnaire (WHOQoL-Bref [TR]), and Health Literacy Questionnaire (HLQ). Results: The results from the study show that the number of coronary artery disease risk factors measured significantly higher among the smoker group members when compared to that of the non-smoker group members (p=0.001). Smokers had significantly lower %6MWT distance than non-smokers (84.83±4.72 and 93.45±7.16, respectively; p<0.05). However, there were no significant differences between the smokers and non-smokers in terms of physical activity, CARRF-KL, HLQ, WHOQoL-Bref, and HPLP-II subscales or total scores (p>0.05). Additionally, while only forty-one smokers (57.7%) were active, 48 of the non-smoker group was active (66.7%). Conclusion: Smokers suffer greater negative effects to their exercise capacity in comparison to non-smokers. Although smokers and non-smokers have similar levels of health literacy and similar levels of knowledge about cardiovascular disease risk factors and obstructive lung diseases, health professionals could continue to further increase individuals' awareness of smoking-related risk factors and continue to emphasize the importance of physical activity and exercise for protecting cardiopulmonary health.

• Journal of Medicine and Life Science
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• v.20 no.4
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• pp.158-165
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• 2023

This study prospective randomized controlled trial aims to test the impact of adding health education, awareness of some contributing factors and clinical guidance to therapeutic cabergoline given to infertile women with unexplained resistant hyperprolactinemia. It comprised 120 infertile women with unexplained persistent hyperprolactinemia not responding to therapeutic doses of cabergoline 1.5-2 mg/week who were subjected to proper history taking to exclude concomitant drug intake or possible brain problems in all cases. They were classified into group A (60 cases) who received health education and clinical guidance to search for possible contributing factors and were instructed to avoid them in addition to proper therapeutic doses of cabergoline, while group B (60 cases) received proper therapeutic doses of cabergoline only without clinical guidance. After 1 month, serum prolactin (PRL) was measured for all cases. All cases had high PRL level at the start of the study (79.9±28.4 [39-195] and 78.2±19.9 [42-189] in group A and B, respectively) without any significant difference. Pretreatment counselling revealed that lifestyle factors, sexual behaviors or feeding habits may contribute to resistant hyperprolactinemia in all cases without a significant difference between both groups. Serum PRL dropped significantly more in group A (20.14±10.31 [11-45] vs. 49.32±37.03 [12-100]) after combined health education, clinical guidance of the couple and proper treatment. It is concluded that lifestyle factors, sexual behaviors, and feeding habits would affect the response of hyperprolactinemia to treatment. Health education and clinical guidance with some advice to avoid them, would concomitantly improve the response of resistant hyperprolactinemia to therapeutic doses of dopamine agonists.

• Journal of Korean Academy of Nursing
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• v.25 no.4
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• pp.681-695
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• 1995

It has been noted that a genetic alteration of cells influenced by unhealthy lifestyle In addition to a series of other carcinogens increases various neoplasmic diseases. Therefore the importance of lifestyle that minimizes such impact on health should be emphasized. Since stomach cancer, the most common neoplasmic disease in Korea, is re-lated to the Korean lifestyle and as there's a possibility of its recurrence, people with stomach cancer need to lead a healthy lifestyle. The purpose of this study is to provide a basis for nursing intervention strategies to promote health promoting behaviors that are constructive to a healthy lifestyle. A multivariate model was constructed based on the fender's health promotion model and Booker's health belief model by including influential factors such as hope. The sample was composed of 164 patients with stomach cancer who visited outpatient clinics of a university hospital in Seoul. The following instruments were used in the study after some adaptation : Wallston and others' multidimensional health locus of control scale Laffrey's health conception scale, Lawston and others' health self- rating scale, Walker and others' health promotion lifestyle profile and Rogenberg's self esteem scale. In addition Moon's health belief scale was used with some modification. For self efficacy, the present author constructed a self-efficacy scale based on previous research. The above mentioned instruments were tested in a pilot study with 24 patients with stomach cancer. The reliabilities of instruments were tested with Cronbach's alpha(0.574∼0.949). Data were analyzed using a SAS program (or Pearson correlation coefficients, descriptive correlational statistics and stepwise multiple regression. The results are as follows : 1. The scores on the health promoting behavior scale ranged from 55 to 145 with a mean of 107.91 (S. D : 16.50). The mean scores(range 1-4) on the different dimensions were nutrition 3.14, exercise 2.48, stress management 2.69, health responsibility 2.65, interpersonal relationship 2.878E self actualization 2.85. 2. There were significant correlations among all the predictive variables & the health promoting behavior (r=.20-.55, p〈.01) 3. Stepwise multiple regression analysis showed that : 1) Hope was the main predictor and accounted for 29.8％ of the total variance. 2) Self efficacy, perceived barriers & self esteem accounted for an additional 14.6% of the total variance. 3) Hope, self efficacy, perceived barriers & self esteem altogether accounted for 44.3％ of the total variance. In conclusion, hope, self efficacy, perceived barriers & self esteem were identified as important variables that contributed to promote health promoting behavior.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.209-217
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• 2016

The aim of this study was to identify stress, motivation for a the healthy lifestyle and IADL of the elderly with arthritis. This study examined 117 elderly person over the age of 65 years living in S city. The data were analyzed using an independent t-test, Pearson correlation coefficients, and stepwise multiple regression with the SPSS Win 12.0 Program. Significant negative correlations were observed between stress and IADL, significant positive correlations between motivation on healthy lifestyle and IADL. The predictors on IADL were the physical area of stress (${\beta}=-0.354$, p<.001) and self-efficacy of motivation on healthy lifestyle (${\beta}=0.250$, p<.001). The model explained 18.5% of the variance. More study will be needed to explore a range of factors influencing the IADL and develop education programs for effective healthy lifestyle of elderly people with arthritis.

• Journal of Nutrition and Health
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• v.31 no.4
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• pp.729-738
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• 1998

Antioxidants such as vitamin C and E may play a preventive role in the development of cancer and coronary heart disease. The status of vitamins C and E may be affected by lifestyle habits such as smoking , drinking, and exercise. These habits can modify the dietary requirements of vitamin C and vitamin E. the purpose of this study was to determine whether Korean young healthy men and women consume vitamins C and E in sufficient quantities relative to their lifestyle habits. Among the participants in this study, 52% of the men and none of the women were smokers. ; 84% of all subjects drank alcohol more than once a week ; and the men exercised more often than the women. The concentrations of serum total , HDL-, and LDL- cholesterol were higher in the women than in the men, but the serum triglyceride concentrations were higher in the men than in the women. The men consumed less satuated fat than the women (p<0.05) . The daily intakes of vitamin C for the men and the women were 47.1mg and 65.6mg, respectively. On the other hand , the daily vitamin E intake was higher in the men (11.8mg) than women(6.9mg). The serum $\alpha$-tocopherol concentrations of all subjects were in a normal range, and in no subjects were they below the minimum value of ranges. However, about 19% of male subjects and 10% of female subjects showed deficient status, although the mean serum vitamin C levels were normal . Lifestyle habits fo the sort mentioned above have little influence on the serum vitamin C and $\alpha$-tocopherol concentrations. The serum $\alpha$-tocopherol concentration had a positive correlation with total fat and alcohol consumption. The serum vitamin C concentration was positively associated with regular exercise, but it was negatively correlated with the number of cigarettes smoked. Meanwhile, the serum lipid persoxide concentration , the indirect index of oxidative stress, was influenced by certain variable such as body mass index , the number of cigarettes smoked , alcohol consumption, energy expenditure, vitamin C intake, and serum ${\gamma}$-tocopherol concentration. Serum lipid peroxide concentration was positively associated with body mass index, the number of cigarette smoked , serum triglyceride , and HDL-cholesterol concentration. In conclusion , the vitamin E requirements of the subjects were met by the Recommended Daily Allowance (RDA) regardless of lifestyle habits. However, serum vitamin C concentrations showed individual variation and was below the normal ranges. Smoking and exercise influenced serum vitamin C concentration. Therefore, a reevaluation of the requirements of vitamin C relative to lifestyle habits is necessary.

• Journal of the Korean Society of School Health
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• v.10 no.1
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• pp.51-63
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• 1997

Changes in disease patterns increase the importance of health-promoting lifestyles in a healthy society. Thus health education in elementary schools is very important because the knowledge of health and health habits in this period become a habitual part of life. The purpose of this study is to identify the performance in promoting healthy lifestyles of elementary school nurses. Such data helps to provide data to judge whether they are capable health educators or not. The subjects were 365 elementary school nurses selected by purposive sample. The data were collected by a self reporting questionnaire from August to October of 1996. The methods used in this study were the health-promoting lifestyle profile developed by Park In Sook (1995) and Licker's flour-point scale. A Cronbach's ${\alpha}$, percentage, mean, standard deviation, ANOVA, Pearson's correlation coffcient and stepwise multiple regression in the SAS package were used to analyze the data. The results of this study were as follows: 1. 37.7% of the sample were aged between 30 and 39 and 33.7% were between 40 and 49. 44.9% of the sample had attended college. 87.7% of the sample were married. 42.5% of the sample were people with a career of 11~20 years, and 26.0% of it had 21 years or more of working experience as an elementary school nurses. 2. The average scores of the family function and the social support were 2.97 and 2.98 respectively. 3. 86.5% of the sample were satisfied with their job. 4. 85.8% of the sample answered that they were healthy and 14.2% answered that they were unhealthy. The average scores of the internal health locus of control and self-esteem were 3.35 and 3.15 respectively. 5. The average score of performance in health-promoting lifestyle variables was 3.16; the average scores for harmonious relationships, regular diet professional health maintenance, sanitary life, self-control, emotional support, diet, rest and sleep, exercise and activity. self-achievement, and diet control were 3.47, 3.30, 2.52. 3.60, 2.92, 3.18, 3.14, 3.11, 2.96, 3.26 and 3.12. The variable with the highest degree of correlation was a sanitary life, whereas the one with the lowest degree was professional health maintenance. 6. A significant difference was found in self-esteem according to age. There was a significant difference in the average score of internal health locus of control according to age and career. 7. There were significant differences in the health-promoting lifestyle performance depending on age, career and monthly household income. The longer the career, the higher the health-promoting lifestyle performance. 8. A weak positive correlation was found between self-esteem and health-promoting lifestyles performance(r=0.417, p<0.001) Also, a weak positive correlation was found between the internal health locus of control and health-promoting lifestyles performance (r=0.386, p<0.001). 9. Heath-promoting lifestyle performance showed significant correlations with family function, social support and job satisfaction. 10. Stepwise multiple regression analysis revealed that the most powerful predictor was the variance of family function. Social support, age, self-esteem, internal health locus of control, perceived heath status and job satisfaction accounted for 55.9% of the variance in heath-promoting lifestyle performance.