Purpose This study was performed to explore the contexts and meanings of health life among patients with chronic kidney failure undergoing hemodialysis.
Methods: The ethnography steps presented by Spradley were utilized. The participants were 12 patients from two hemodialysis centers. Data were collected by iterative fieldwork through in-depth interviews and participant observations and analyzed using text analysis and taxonomic methods. Field notes were used along with interviews and dialogue between authors to enhance interpretation.
Results: Five themes on the health life of participants emerged: experiencing the loss of normality of the body and the collapse of daily life, establishing the role of dialysis patients, reorganizing the network, building an integrated coping pattern, and new normalization of the pattern of life. Patients' experiences differed in health life's patterns and meanings according to various individual situations and sociocultural contexts.
Conclusion: Establishing new patterns of life of hemodialysis patients was a normalization process to ensure the adequacy of physical indicators and stability amid physical, emotional, and social challenges. To achieve quality health life, patients should be provided with tailored nursing interventions that consider their individual, social, and cultural situations.
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Purpose This study aimed to examine the influence of lifestyle-related factors, such as sleep quality, eating habits, and perceived stress, on the incidence of thyroid cancer in healthy adults.
Methods: This study is a cross-sectional case-control study comparing lifestyle-related factors in thyroid cancer and healthy groups. Outpatients with thyroid cancer were recruited from 2012 to 2013, 3~6 months after thyroidectomy at a tertiary hospital in Seoul, Korea (n=468). For the control group, 935 healthy adults were recruited by propensity score matching on demographic characteristics in a 1:2 ratio from hospital health checkup data. The effect of sleep quality, eating habits, and perceived stress on the incidence of thyroid cancer was determined through multiple logistic regression analysis and backward stepwise variable selection.
Results: Sleep disturbance and mild/moderate daytime dysfunction were found to have a 1.22 and 1.66/1.77-fold influence, respectively, in patients with thyroid cancer than in healthy controls (p<.05). Coffee consumers who drink 3~6 times/day showed reduced cancer incidence than those who drink very little (odds ratio=0.53, 95% confidence interval=0.32~0.87). Perceived stress was a significant risk factor in univariate (p=.004), but not in multivariate analysis.
Conclusion: These findings highlight the need for evaluating sleep quality, especially in high-risk adults and patients with thyroid cancer. Preventive measures should be adopted to lower stress levels and improve sleep quality.
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Purpose The purpose of this study was to examine lifestyle behaviors, mental health, and Health-Related Quality of Life (HRQoL) and identify the effects of lifestyle behaviors and mental health on the HRQoL of cancer survivors and general adults. Methods Secondary data analysis was conducted. The data used in the study were drawn from the Korea National Health and Nutrition Examination Survey VII-2 (January 1, 2017, to December 31, 2017).
A sample of 190 cancer survivors (mean age, 65.12 years; women, 63.7%) and 1,815 general adults (mean age, 52.67 years; women, 52.6%) was used, focusing on demographic characteristics, lifestyle behaviors (including tobacco smoking, alcohol drinking, physical activity, and eating behavior), and mental health (including sleeping hours, stress, and depressive symptoms). Descriptive statistics, independent t-test, one-way ANOVA, Pearson’s correlation coefficient, and hierarchical stepwise multiple regression were performed to analyze the data. Results The overall mean of HRQoL for all the participants was 0.96±0.08 (0.93±0.11 for cancer survivors and 0.97±0.08 for general adults). For cancer survivors, age, depressive symptoms, and moderate intensity physical activity were associated with HRQoL (adjusted R 2 =.180, p<.001). For general adults, age, education level, economic activity, income level, walking, sodium intake, depressive symptoms, and stress were associated with HRQoL (adjusted R 2 =.165, p<.001). Conclusion Cancer survivors had lower HRQoL than general adults. Differences were found in the factors associated with HRQOL in cancer survivors and general adults. Therefore, customized health programs and policies should be developed and provided for each group to improve their HRQoL.
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Purpose Maintaining a healthy lifestyle and quality of life after receiving acute treatment is important in patients with coronary artery disease (CAD). This study aims to compare the lifestyle and the quality of life of CAD patients with those of healthy people through a propensity-matched comparison. Methods This study is a secondary analysis of the data from the Korea National Health and Nutrition Examination Survey conducted with 23,657 subjects from 2015 to 2017. A propensity-matched comparison was conducted for 472 CAD patients and 941 healthy individuals using 1:2 matching of nine sociodemographic characteristics. R program version 3.6.2 was used for statistical analysis and an independent t-test was employed to examine the differences between the relevant variables of the two matched groups. Results The rate of aerobic physical activity, the levels of quality of life, and the subjective health condition of the CAD patients were significantly lower as compared to the healthy group (p<.001). The degree of perceived stress was higher in patients with CAD than those in the healthy group (p<.001). However, no statistical difference was found in smoking and drinking behavior and body mass index. Conclusion This study found that the CAD group's level of physical activity is lower and their emotional health conditions are worse than those of healthy people. Therefore, relevant support, including follow-up intervention programs, is required for CAD patients to prevent secondary adverse cardiac events and to maintain a healthier life.
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PURPOSE The purpose of this study was to understand the risk of falling associated with postmenopausal women and to identify the relationships between this risk and factors such as lifestyle, metabolic syndrome, and bone mineral density. METHODS The sample was 128 postmenopausal women between 50 and 65 from one menopausal clinic in an urban city. The Risk Assessment for Falls Scale II, developed by Glydenvand and Reinboth (1982) and adapted by Park Young-Hye (2003), was modified and used for this study. RESULTS The average fall-risk score in postmenopausal women was 7.2 out of 33, the fall-risk score associated with lifestyle was higher in women exposed to stress frequently or who favored spicy or salty foods. The fall-risk score associated with metabolic syndrome was higher in groups with HBP or with a waist circumference of 80cm or greater. The fall-risk score in groups with three or more factors of metabolic syndrome was the highest. CONCLUSION The risk of fall in postmenopausal women was higher in groups with only elementary education, unemployed, reported two or more chronic diseases or reported frequent exposure to stress and for women who preferred spicy or salty foods or exhibited three or more factors of metabolic syndrome.
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PURPOSE The purpose of this study was to examine lifestyle, BMI, BP, and lipids profiles in male subjects and to explore the relationships among variables. METHODS A total of 148 male subjects were recruited from one life insurance company from December 1, 2005 to February 28, 2006. Data collection methods were structured questionnaire, anthropometry and serum analysis. The relationships among lifestyle, BMI, BP, and serum lipid profiles were assessed by descriptive analysis, t-test, ANOVA, and partial Pearson's correlation coefficient of variables after controlling for age, educational level, and economic status. RESULTS The mean BMI of the participants was relatively high as 25.38(range: 18.38 - 32.83). The differences of serum lipid profiles according to age, educational level, and economic status were significant. 'Use of caffeine and drugs'(r = -.187, p < .05) and 'consciousness of safety'( r= -.200, p < .05) was negatively related to BMI. Higher score of 'type of personality' domain was correlated with lower systolic BP(r = -.221, p < .01) and lower diastolic BP(r = -.195, p < .05) and was positively correlated with HDL(r = .191, p < .05). CONCLUSION 'Use of caffeine and drugs', 'consciousness of safety' and 'type of personality' of lifestyle as well as 'dietary habit' and 'exercise' played a key role in circulatory disease.
PURPOSE The purpose of this study was to provide the basic data of a comprehensive counter-plan to promote health for people by comparing various factors related to cancer outbreak factors including general characteristics, health-related lifestyles, health promoting behaviors, perceived healthy status, life event stress and health care seeking behaviors with cancer patients and health people. METHOD: The study was designed to be a retrospective- comparison-survey-study and its data was collected through 5 types of questionnaires from September 2003 to December 2003. RESULTS: Cancer patients had lower education and household income, and many of them had no occupation. Cancer patients had a higher rate of smoking and drinking periods. Exercise level was higher in healthy people. However, Cancer patients were better in sleep and rest. In comparison with health promoting behaviors, it was higher in healthy people than in cancer patients but the two groups had no significant differences statistically. The perceived health status was higher in healthy people than in cancer patients. The health care seeking behaviors were higher in healthy people than in cancer patients. Cancer patients and healthy people's life event stress had no significant differences statistically. CONCLUSION: As a result of comparative analysis of cancer patients and healthy people's health risk factors, smoking, drinking period, regular exercise and health care seeking behaviors were suggested as direct or indirect risk factors for cancer patients. These finding can be applied to health promoting behavior programs to keep and promote optimal health status as well as to prevent cancer disease.
PURPOSE The purpose of this study was to examine the relationship among the levels of total serum cholesterol level, blood pressure, body mass index, and lifestyle. METHOD: This study was designed as a descriptive correlation study. Subjects were 972 adults participated voluntarily living in GyeongNam. The height, weight, blood pressure and fasting serum cholesterol were measured. Body mass index was caculated. Information on general characteristics (age, gender, education, job, family history) and life style(cigarette, alchol, sleeping time, regular exercise, meal pattern, peppery, salty, sweetness, vegetable diet, meat diet) were collected using a questionnaire by interviewing method. RESULT: The mean value of total serum cholesterol was 197+/-36.4mg/dl(mean; 189.4+/-36.7, women; 202.1 +/-35.1). By simple analysis, the serum total cholesterol according to general characteristics features was statistically significant in age(F= 6.765, p=000) and gender (t=5.372, p=.000). Total serum cholesterol levels increased significantly with increasing BMI. The serum total cholesterol according to life style features was statistically significant in cigarette(chi2 =12.12, p=.016), exercise(chi2=6.335, p=.042), salty taste(chi2=18.801, p=016), vegetable diet(chi2=19.488, p=012). The most affecting factor which total serum cholesterol factor was BMI(beta=.151, p=.000). CONCLUSION: The significant risk factors relating to serum total cholesterol were age, gender, BMI, smoking, and exercise. Therefore, for the reduction of serum total cholesterol level, it is recommended that nursing intervention for the prevention of obesity, change of life style should be implemented.
PURPOSE To describe the performance in the health-promoting lifestyle and to identify the major factors affecting the health-promoting relationships between self care behaviors and health promoting lifestyle profile in patients with pulmonary tuberculosis. METHOD: A convenience sample for this study was 172 pulmonary tuberculosis patients who have taken TB medications in urban city. The HPLP-ll was selected to measure the concept of health- promoting lifestyle because of the number of research studies conducted using both the original HPLP and the revised HPLP-ll. The statistical methods used in this study were t-test, ANOVA, Pearson correlations, and multiple regression. RESULT: The differences of the HPLP-ll were found to have a significance of age, marital status, education level, and health service center. The level of self care behaviors was related positively to the level of health promoting lifestyle and their subcategories. Based on stepwise multiple regression analysis, the model that predicted factors included self care behaviors, age, health service center and education. CONCLUSION: After decades of decreasing rates, TB has reemerged as a serious national problem in Korea. The careful clinical management and more national concern of TB may help to improve the outcomes of many patients. The findings of this study suggest that TB patients who are more fulfilled in health-promoting lifestyles and self-care behaviors may be able to make better decisions regarding positive health-promoting behaviors.
The purpose of study was to assess how hospital nurses practice their health promoting lifestyle and to identify affecting factors. The subjects were 286 nurses working at three general hospitals in Kwang-ju. The data were collected by questionnaire from September 1st. to September 10th, 1999. The instruments for this study were the Health Promoting Lifestyle Profile developed by Walker et al., perceived health status scale developed by Ware et al., self-efficacy scale developed by Sherer et al., and social support scale developed by Cohen et al.. The data were analyzed with mean, standard deviation, t-test, ANOVA, Pearson's Correlation Coefficient and Stepwise Multiple Regression. The results of this study were as follows: 1. The mean score of health promoting lifestyle was 2.36. Interpersonal support showed the highest score(2.67) and health responsibility (1.92) showed the lowest score. The mean score of perceived health status was 3.07, self-efficacy was 2.62, and social support was 2.91. 2. The relationship between general characteristics of subjects and health promoting lifestyle showed significant differences according to duty cycle(t=4.15, p=.042), disease experience (t=5.18, p=.023), monthly income(F=3.13, p=.025), exercise frequency(F=9.12, p=.000), stress reliefe method(F=5.98, p=.000), job satisfaction(t=11.44, p=.000), and perceived fatigue(F=6.13, p=.002). 3. Health promoting lifestyle showed significant positive correlations with perceived health status (r=.2190, p=.0002), self-efficacy (r=.5137, p=.0001) and social support (r=.5181, p=.0001). 4. The combination of social support(27.1%), exercise frequency(10.4%), self-efficacy(8.8%), job satisfaction, perceived health status, perceived fatigue and explained 53.5% of the variance of health promoting lifestyle. Therefore, this study suggests that a replicate study is needed until more affecting factors other than health promoting lifestyle.
The purpose of this study was to identify the major factors affecting performance in health promoting lifestyle of the elderly. The subjects for this study were 244 elderly person over the age of 60, living in K country, Kyongnam. Data were collected from August 31 to September 30, 1998. The collected data were analyzed with an SPSS program using frequency, percent, mean, cronbach alpha, t-test, ANOVA, Pearson' coefficients of correlation, Duncan test, and stepwise multiple regression. The results are summarized as follows. 1) The average score of performance in the health promoting lifestyle was 2.73. The variable with the highest degree of performance was regular diet(3.29), whereas the one with the lowest degree was self-control(2.22). 2) Performance in the health promoting lifestyle was significantly correlated with self esteem(r=.28, p=0.00), internal health locus of control(r=.58, p=0.00), powerful others health locus of control(r=.48, p=0.00), chance health locus of control(r=.25, p=0.00), perceived health status(r=.53, p=0.00). 3) Performance in the health promoting lifestyle was significantly correlated with such demographic variables as education level (F=9.47, P=0.00), marital status(F=2.63, P=0.05) and previous occupation(F=3.85, P=0.00). 4) The combination of internal health locus of control, powerful others health locus of control and perceived health status explained 43.4percent of the variance of health promoting lifestyle On the basis of this study, other factors affecting others health promoting lifestyle should be identified.
The purpose of this study was to identify the degree of Health Promoting Lifestyle Practices among university students. The survey data used in this study were collected from 282 students of one university in Chungju City. The instruments of this study was a structured questionnaire included health promoting lifestyle scale developed Walker, et al., and sociodemographic characteristics. Analysis of data was done by use of mean, percentage, t-test, ANOVA, DUNCAN's multiple-range test and Pearson's correlation coefficients with SAS/pc program. Major findings are as follows : 1. The average score for the health promoting lifestyle practices was low at 103.5. In the subcategories, the highest degree of performance was interpersonal support(2.77), and the lowest degree was health responsibility(1.49). 2. There was a statistically significant difference in the degree of health promoting lifestyle practices according to sex(t=1.6997, p=.000), grade(F=8.82, p=.000). 3. There was a statistically significant difference in the degree of self-actualization according to grade(F=6.48, p=.002), college(F=2.58, p=.038). There was a statistically significant difference in the degree of health responsibility, exercise, stress management according to sex(t=4.3155, p=.000 ; t=6.2652, p=.000 ; t=1.7244, p=.0012), grade(F=4.28, p=.0018 ; F=4.46, p=.011 ;F=5.76, p=.004). There was a statistically significant difference in the degree of nutrition according to grade(F=5.80, p=.003). 4. Significant correlations were found between most of the subcategories and total health promoting lifestyle. Therefore, the findings of research can serve as the basis for developing health-promoting programs in General Education Courses among university students.