Objectives: The objectives of this study were to investigate the effects of oral health-related factors on the oral health knowledge, attitude, and practice of students of the Department of Dental Hygiene major, Health-related major, General major, and to provide primary data to improve the oral care ability of university students. Methods: After institutional review board approval, the study was conducted from May 15 to December 1, 2017. All 363 university students in Busan completed a questionnaire. In total, 332 questionnaires were analyzed. Thirty-one cases were excluded due to unreasonable responses. Data were analyzed using SPSS version 24.0. Results: Analysis of the factors related to knowledge, attitude, and practice of oral health according to the major field of study of the respondents indicated that students in the Dental Hygiene major demonstrated significantly better results. Conclusions: It is necessary to determine a way to manage the oral health of university students. In addition, voluntary participation of universities to improve oral health of university students is desirable. It is also necessary to establish national health policies and a national health care education curriculum for university students.
Osteoporosis is a age-related metabolic disorder. Currently there is no cure, but there are measures that can prevent or deter the development of osteoporosis. Futhermore lifestyle among risk factors of osteoporosis may be modifiable. Osteoporotic preventive health promotion behavior may be more effective at early adult when they make formation of peak bone mass. The purpose of this study is to identify the demographic variables, life-style and level of concern about osteohealth-related factors according to the health promotion behavior among university female students. The result are following: 1. The highest level of concern about osteoporosis-related factor is sufficient sleeping. 2. The highest level of dietary about osteoporosis-related factors are vegetable and fruit. 3. Level of concern about osteoporosis-related factors according to demographic variables are not significantly different, but dietary were significantly different in age, height and income. 4. Level of concern about osteoporosis-related factors according to lifestyle are significantly different in weekly hour of exercise and weight control, and dietary are significantly different in milk intake at elementary school and present. 5. Level of concern about osteoporosis-related factors have correlated positively with dietary. University and College female students who participated in this study have concerned middle at calcium intake and exercise, but two variables are significantly different in lifestyle and dietary. Because of two variables are modifiable, it should be regarded importantly in nursing domain. We suppose that preventive education of osteoporosis is necessary to reach peak bone mass and to maintain bone mass consistently among the University and College female students.
Objectives: The purpose of this study was to compare the differences in oral health-related quality of life among elderly people aged over 65 years, in terms of physical, mental and oral health status and to analyze factors affecting their oral health-related quality of life. Methods: From May 9 to June 23, 2017, we randomly visited aged-care community centers in the metropolitan area, and recruited 222 elderly, aged 65 or older. First, each participant completed a questionnaire consisting of 4 general items: 1 systematic disease, and 3 subjective oral conditions. Afterwards, the researchers interviewed the participants to assess their mental status, using MMSE-DS and recorded the responses. Finally, an oral examination was performed to determine the number of remaining teeth. The average oral health-related quality of life according to each characteristic was analyzed by t-test and ANOVA. Hierarchical multiple regression analysis and Pearson's correlation coefficient analysis were used to analyze the correlations between factors and the factors affecting oral health-related quality of life. Results: The mean oral health-related quality of life was 4.15. Participants with 20 or more remaining teeth demonstrated better oral health-related quality of life than those with 19 or less teeth. Higher oral health-related quality of life was also found among elderly without gingival bleeding, self-reported halitosis and dry mouth. In addition, positive correlation with the number of remaining teeth and negative correlation with gingival bleeding, self-reported halitosis and dry mouth, were noted. Finally, the results of the hierarchical multiple regression analysis indicated that remaining teeth, gingival bleeding, self-reported halitosis and education were influential factors in determining the oral health-related quality of life among the elderly. Conclusions: The results of this study confirmed the necessity of better policy support, and the importance of implementing delivered, elderly-centered oral health education program by professionals to prevent tooth loss and manage periodontal diseases.
Purpose: This study aimed to measure health-related quality of life (HRQoL) and investigate the relevant factors for middle aged women using the 2014 Korea Health Panel data. Methods: The Korea Health Panel data 2014 were collected from February to August 2014 by the Korea Institute for Health and Social Affairs and the National Health Insurance Corporation and included 2,075 people who responded to the questionnaire. Using SPSS WIN program, the data were analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression analysis. Results: Limited activity was the most influential factor for the health-related quality of life of middle-aged women. For health behavior, the factors affecting HRQoL were drinking, sleeping time, and physical activity. For physical health, factors affecting HRQoL were vision problems, eating problems, and hearing problems. For mental health, the factors affecting HRQoL were suicidal impulse, stress, and frustration. Conclusion: These results indicated that to improve HRQoL for middle-aged women, limited activity and suicidal impulses should be addressed.
Purpose: This study compared health behaviors and health-related clinical characteristics between individuals with normal glucose levels without diabetes and those with undiagnosed diabetes. Factors that were associated with undiagnosed diabetes were identified by sex. Methods: This was an observational study with a cross-sectional design based on data from the eighth Korea National Health and Nutrition Examination Survey, which used a stratified, multi-stage, cluster-sampling design to obtain a nationally representative sample. Multiple logistic regression analysis was employed to compute the odds ratios of health behaviors and clinical characteristics to identify risk factors for undiagnosed diabetes. Results: The overall prevalence of undiagnosed diabetes was 5.2% (weighted %, n = 700, p < .001). Among individuals with undiagnosed diabetes, 58.3% were men. Univariate logistic regression for undiagnosed diabetes identified sex, age, house income, educational level, and triglycerides as influencing factors. In multiple logistic regression by sex, the factors associated with undiagnosed diabetes in men were age, perceived health status, a diagnosis of angina, and triglycerides. Conclusion: Strategies should be targeted to improve health behaviors and clinical characteristics for specific age groups, men in bad perceived health status, women with high systolic blood pressure, and high triglycerides. Moreover, healthcare providers should understand the barriers to health behaviors and health-related quality of life to effectively deliver healthcare services.
The purpose of the study is to examine gender differences in health behaviors and the related factors for the urban elderly population. This study utilized the data from the Suwon city health survey of the elderly in 2001. The data consisted of a random sample of 979 (388 males, 591 females) elderly people aged over 65. The results of the study were as follows. First, the elderly people's health behaviors were different by gender. Concerning health risk-taking behavior, the frequencies of smoking and drinking were higher in males than in females. In terms of health promotive behavior, the regular exercise rate was higher in males than in females. Second, there were different factors that influenced health behaviors by gender. The factors that influenced the health risk-taking behaviors were health status factors for male, and socioeconomic factors for female. The factors that significantly influenced the health promotive behaviors were social supports networks for both gender. Therefore, program priorities need to be modulated in accordance with these gender differences in health behaviors. Moreover, different program strategies are needed that reflect the gender differences in health behavior determinants.
Purpose: This study compares the differences in health-related factors, nutrition knowledge and dietary habits between nursing and allied health college students. Methods: Nursing students(n=499) and allied health college students(n=402) were surveyed on their health-related factors, nutrition knowledge and dietary habits. Data were collected from two universities in A city, Korea. Data were analyzed through descriptive statistics, $x^2$ distribution and t-test, $x^2$-test and Pearson correlation coefficient using SPSS 21.0. Results: The level of nutrition knowledge was higher among nursing students than students majoring in other fields. Scores regarding dietary habits were not significantly different between nursing students and other students. Conclusion: Nutritional education for college students is needed in order to improve their health. Nutritional education programs should be tailored to meet various needs of these students.
This study conducted descriptive literature review on adolescent smoking and the related factors to realize significance of adolescent smoking onset in Korea and to identify risk factors of smoking incidence. Korean adolescent smoking status was generated based on the cumulated data of the Korean Association of Smoking and Health. Risk factors of adolescent smoking were identified based on 18 studies written in English, with cross-sectional research design and published as a peer-reviewed journal article between 1994 and 2003. The results were as follows. 1. Korean adolescent smoking rate was the highest among OECD affiliated countries; in particular, male adolescent smoking incidence was very serious. 2. Risk factors related to smoking of adolescent population were personal factor, friend factor, family factor, and mass-media factor. Demographic characteristics, attitudes on smoking, and willingness of smoking, and health behaviors were selected as personal factor of smoking. 3. Best friends smoking was a strong factor of students' smoking set. Prevalent popularity of smoking in peer-group allowed students to feel free to smoking. 4. Concerning family factor related to smoking status, parents' smoking and sibling's smoking were significant indicators of adolescent smoking status. 5. Seeing smoking behaviors and scenes through films, TV shows, drama, and advertisement was a significant risk factor of adolescent smoking status.
Purpose: The purpose of this study is to investigate cardiovascular risk factors, their interaction, degree of cardiovascular risk and to analyze the effects of related fcators in women workers. Method: A Survey was conducted in 529 employed women in 36 workplaces from October 25, 2002 to December 12, 2002. The survey was distributed and collected by occupational health nurses working at work sites. Result: The result were as followings; The female workers had about 2 cardiovascular risk factors. 82.1% were not exercising more than 3 times a week, 45.9% reported noise-exposure, 38.2% had higher perceived stress, 25.4% were shift-workers, 10.4% were long-time workers(over 60hour/week), 4.4% were frequent drinker, 3.9% were current smokers. The rate of obesity in measured as BMI greater than 25 was 4.0%. Many cardiovascular risk factors were correlated. Job-related and health behavior-related cardiovascular risk factors were correlated statistically. Expose to noise, reported perceived stress were powerful predictors in their degree of cardiovascular risk. Conclusion; Based on the results of this study, cardiovascular prevention programs for women in workplace should be designed as a multifactorial approach, which include stress management and job-related risk factor management as essential components to be effective in addressing the needs of the population.
Objectives: Subjective life expectancy (SLE) has been found to show a significant association with mortality. In this study, we aimed to investigate the major factors affecting SLE. We also examined whether any differences existed between SLE and actuarial life expectancy (LE) in Korea. Methods: A cross-sectional survey of 1000 individuals in Korea aged 20-59 was conducted. Participants were asked about SLE via a self-reported questionnaire. LE from the National Health Insurance database in Korea was used to evaluate differences between SLE and actuarial LE. Age-adjusted least-squares means, correlations, and regression analyses were used to test the relationship of SLE with four categories of predictors: demographic factors, socioeconomic factors, health behaviors, and psychosocial factors. Results: Among the 1000 participants, women (mean SLE, 83.43 years; 95% confidence interval, 82.41 to 84.46 years; 48% of the total sample) had an expected LE 1.59 years longer than that of men. The socioeconomic factors of household income and housing arrangements were related to SLE. Among the health behaviors, smoking status, alcohol status, and physical activity were associated with SLE. Among the psychosocial factors, stress, self-rated health, and social connectedness were related to SLE. SLE had a positive correlation with actuarial estimates (r=0.61, p<0.001). Gender, household income, history of smoking, and distress were related to the presence of a gap between SLE and actuarial LE. Conclusions: Demographic factors, socioeconomic factors, health behaviors, and psychosocial factors showed significant associations with SLE, in the expected directions. Further studies are needed to determine the reasons for these results.
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