Purpose: This study was conducted among older women to (1) identify their levels of knowledge, self-efficacy, and health behavior in dealing with osteoporosis and falls and (2) explore the relationships between the study variables based on a health-beliefs model. Methods: With a cross-sectional survey design, we recruited 94 older women of ages from 65 to 74 at a community setting via convenience sampling. The study participants completed two sets of structured questionnaires (on osteoporosis and fall prevention). Results: The general characteristics of the study participants demonstrated that the women were at high risk for osteoporosis and falls. Overall, the levels of knowledge about osteoporosis and falls, their self-efficacy, and their preventive behaviors were average or slightly above. The relationships between the study variables showed that self-efficacy and healthy behavior, such as doing osteoporosis exercise, eating an osteoporosis diet, and avoiding falls, were related (r=38, p<.001; r=.33, p<.05; r=.26, p<.05). In addition, there were statistically significant relationships between osteoporosis and fall prevention knowledge (r=.37~.46, p<.001), self-efficacy (r=.50~.53, p<.001), and preventive behaviors (r=.50, p<.001). Conclusion: The women's scores on osteoporosis and fall knowledge, self-efficacy, and preventive behaviors suggest an urgent need for the implementation of educational programs for older women. A close relationship between self-efficacy and health behaviors implies a need for transformation of a traditional one-way lecture form.
As the complexity of the our environment is further complicated by advancements in industry and increase in vehicle traffic flow, the incidents of injury causing accidents are on the rise. Consequently, there is increasing emphasis on the importance of systematic and continual safety education for injury preventive behaviors. This study investigates safety related problems of elementary school students based on the PRECEDE model, proposed by Green et al.(1980 Green), to comprehensively identify the requirements of school safety education. The identified requirements were used to diagnose the current state of elementary school safety education through the analysis of multidimensional factors. A questionnaire survey was conducted on 594 sixth grade students from randomly selected 4 schools in Seoul to examine their injury preventive behaviors and to determine the educational diagnosis variables that affect it. The duration of the survey was 3 weeks starting from April 12, 1999 to May 8, 1999. A summary of the survey results are presented below; 1. Situations in which accidents have occurred were, in their order of frequency, ‘during play or sports activities within the school grounds’ was most frequent at 59.6%, ‘during play on local streets’ at 49.5%, and ‘traffic accidents’ at 41.6%. 2. Categorization of the injury preventive behavior showed that ‘not playing at high traffic flow locations such as streets and construction sites’ had the higher level of observance, while ‘wearing of helmets and joint protection devices during playing’ was least observed. 3. Considering injury preventive behaviors in relation to educational diagnosis variables indicated, for predisposing factors, lower ‘perception to injury accidents’ (p〈0.001) combined with higher ‘concerns for injury accidents’(p〈0.001), ‘practice of preventive behavior’(p〈0.001), and ‘the level of safety knowledge’(p〈0.001) resulted in significantly higher observance of injury preventive behaviors. For enabling factors, higher ‘perceived level of the school safety education’ (p〈0.001) and ‘availability of safety education resources’(p〈0.01) indicated significantly higher observance of injury preventive behaviors. For the reinforcing factor, frequent exposure to ‘safety education brochure’ (p〈0.01) and ‘audio-visual material for safety education’(p〈0.01) combined with more ‘regional safety education’ (p〈0.01), ‘home safety education’ (p〈0.01), ‘school safety education’(p〈0.001), and, ‘parents’ observance of preventive behaviors' (p〈0.001) showed significantly higher observance of injury preventive behaviors. 4. An analysis of the factors that affect injury preventive behaviors showed that the enabling factor ‘awareness of school safety education’ had the highest correlation with injury preventive behaviors followed by factors, in their order of significance, ‘practice of preventive behavior’, ‘perception to injury accidents’, ‘level of safety knowledge’, ‘parents’ observances of preventive behaviors', and ‘concerns for injury accidents.’
This study was conducted in order to identify the extent to which Health Belief Model (HBM) constructs explain the likelihood of taking preventive behaviors for AIDS among the young adolescents in Korea. HBM was applied as the theoretical framework for developing questionnaire items in this study. The survey instrument included all of the constructs of Health Belief Model, namely, perceived susceptibility, perceived severity, perceived benefit, perceived barriers, cue to actions for preventive behaviors concerning AIDS. Additionally, demographic characteristics of the respondents, their sexual experiences, and AIDS Knowledge Test were included in the study. Each of HBM constructs were developed with a 5-point Likert type scale from l(never agree) to 5 (absolutely agree). The survey was conducted with a total of 247 military men in a city on September 18, 1996, using self-reported questionnaire. The results of the study were summarized as follows: 1. Because the subjects for this study were military soldiers, their demographic characteristics were limited to all men, young age, and ummarried. Educational status was evenly distributed between high school graduates and university students. 2. On the average, the respondents started their first sexual relationship at 18 years old and 82.6% of them did not use condom when having their first sexual experience. Thirty-one percent of the subjects had sexual contact with prostitutes and the average number of sexual contact with prostitutes was 5 times during the past 2 years. 3. The results of AIDS Knowledge Test scores demonstrated that the respondents had a high level of knowledge about AIDS. However, some misconceptions about transmission of AIDS through casual contact were still prevailed. Sixty-six percent of the respondents expressed that people infected with HIV should be isolated from the society in order to protect the general public. 4. All the respondents expressed that they had heard about AIDS before. TV was found to be the source which provided information on AIDS most frequently. 5. Among fundamental constructs of Health Belief Model, scores of perceived benefit of taking preventive action against AIDS marked the highest score, while scores of perceived susceptibility were the lowest. As a result of Multiple Stepwise Regression analysis, 13 variable groups were found to predict the preventive action by 25%. Among them, only perceived benefit variables was the most significant factor to explain preventive behaviors by 17%.
Objectives: To analyze the relationships of socioeconomic status(SES) to health status and health behaviors in the elderly. Methods: Data were obtained from self-administered questionnaire of 4,587 persons, older than 65 years, living in a community. We measured the sociodemographic characteristics, socioeconomic status, health status (subjective health status, acute disease, admission experience, dental state, chronic disease etc.), activities of daily living (ADL), instrumental activities of daily living (IADL), and mini-mental state examination-Korean (MMSEK). Binary and multinominal logistic regression analyses were employed to analyze factors affecting on the socioeconomic status of the elderly. Results: With regard to the SES and health status, those with a low SES had poorer subjective health states and lower satisfaction about their physical health. Also, acute disease experiences, admission rates and tooth deciduation rates were higher in those of low SES. In the view of physical and cognitive functions, the ADL, IADL and MMSE-K scores were also lower in those of low SES. However, with regard to health behaviors, lower smoking and alcohol drinking rates were found in the low SES group, and a similar trend was shown with regular physical exercise, eating breakfast, and regular physical health check-up. From these findings, we surmise that those with low SES have a poorer health condition and less money to spend on health, therefore, they can not smoke or drink alcohol, exercise and or have a physical health check-up. Conclusion: This study suggests that socioeconomic status plays an important role in health behaviors and status of the elderly. Low socioeconomic status bring about unhealthy behavior and poor health status in the elderly. Therefore, more specific target oriented(esp. low SES persons) health promotion activities for the elderly are very important to improve not only their health status, but their health inequity also.
Park, Yeon-Hwan;Lee, Seong Hyeon;Yi, Yu Mi;Lee, Chi Young;Lee, Min Hye
Research in Community and Public Health Nursing
/
v.29
no.3
/
pp.322-334
/
2018
Purpose: The purpose of this study is to identify factors related to compliance with respiratory infection preventive behaviors including hand washing, cough etiquette, and oral hygiene of older adults. Methods: A cross-sectional study was conducted with a convenience sample of 100 older adults (mean age: $76.11{\pm}6.35$ years, female: 86.0%). Data were collected from a community senior center through face to face interviews by using instruments including measuring knowledge, perceived threat, self-efficacy, compliance with respiratory infection preventive behaviors. Results: The mean score of knowledge was 7.52 out of 13 in total. The compliance with hand washing with soap was 6.0% for 8 or more times per day. Among the participants, 12.0% adhered to the cough etiquette. Sixty-two older adults (62.0%) didn't use interdental brushes or floss at all. The stepwise linear regression indicated that age and self-efficacy for respiratory infection preventive behaviors were significant factors and explained 24.0% of the compliance with hand washing and the cough etiquette. Education level, cancer diagnosis, and self-efficacy for respiratory infection preventive behaviors were significant predictors of oral hygiene. The factor with the greatest effect was self-efficacy in the two models. Conclusion: The findings suggest that it is necessary to improve compliance with respiratory infection preventive behaviors among older adults using senior centers. In order to enhance the compliance, it is necessary to develop nursing programs based on the self-efficacy for respiratory infection preventive behaviors in the senior centers.
Journal of agricultural medicine and community health
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v.32
no.2
/
pp.97-105
/
2007
Objectives: This study examines the drinking behaviors and the relationship between drinking and smoking behaviors among some Korean university students. Methods: A self-administered questionnaire survey was conducted in May, 2006. A total of 1,163 students(715 male and 448 female) completed questionnaires, who were randomly selected in a university in Gyeongsangbuk-Do, Korea. Results: The overall drinking and smoking rates for male subjects were 88.7% and 37.2%, and those for females were 83.5% and 2.2%, respectively. Among the male drinkers 39.9% smoked, while 16.0% of the male non-drinkers were smokers. As male drinkers drink more often, heavier amount per drinking episode, even on a binge, their smoking rate was high. The subjects reported there was positive reinforcement between drinking and smoking behaviors. Conclusions: The drinking rate of students was relatively high, especially for male students drinking behavior was strongly correlated with smoking behavior. Health promotion programs should be targeted at university students considering drinking and smoking behaviors simultaneously.
Purpose: The purpose of this study was to survey the Coronavirus Disease 2019 (COVID-19) related knowledge, risk perception, preventive behaviors, depression, and anxiety levels among nursing students, and to identify factors that influence preventive behaviors. Methods: An online survey was conducted among nursing students from October 7, 2020 to October 12, 2020. The data were analyzed using independent t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression. Results: A total of 222 nursing students participated in this study. The correct answer rate for COVID-19 knowledge was 90.0%, risk perception was 5.51±1.26, and the rate for preventive behaviors was 92.5%. The depression score was 6.28±4.63; 59.9% of nursing students had depression, and the anxiety score was 5.56±3.98; 59.9% of nursing students had anxiety. COVID-19 preventive behaviors had a positive correlation with COVID-19 knowledge (r= .30, p< .001), COVID-19 risk perception (r= .18, p= .009), and anxiety (r= .21, p= .001). Factors influencing COVID-19 preventive behaviors by multiple regression were identified as COVID-19 knowledge, anxiety, physical health status before and after COVID-19, grade, practical experience after COVID-19, and COVID-19 risk perception (F = 12.46, p< .001, R2= 25.8%). Conclusion: The results of this research on factors influencing COVID-19 prevention behaviors can be used in the future to develop appropriate health policies for individual and community infectious disease prevention behaviors.
Hyo-jung Lee;Jeong Pil Choi;Kunhee Oh;Jin-Young Min;Kyoung-Bok Min
Journal of Preventive Medicine and Public Health
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v.56
no.6
/
pp.552-562
/
2023
Objectives: Adolescents who engage in unhealthy behaviors are particularly vulnerable to anxiety. We hypothesized that participation in physical activity could influence the relationship between anxiety and unhealthy behaviors in adolescents. These behaviors include smoking, alcohol consumption, and unsafe sexual activity. Methods: This study included 50 301 students from the first year of middle school to the third year of high school, all from Korea. The unhealthy adolescent behaviors examined included current alcohol consumption, current smoking, and unsafe sexual behavior. Anxiety levels were assessed using the Generalized Anxiety Disorder-7 questionnaire (GAD-7). Results: The participants had a mean age of 15.19 years and an average GAD-7 score of 4.23. No significant differences were observed in GAD-7 score among exercising participants when categorized by smoking status (p=0.835) or unsafe sexual behavior (p=0.489). In contrast, participants in the non-exercise group who engaged in these behaviors demonstrated significantly higher GAD-7 scores (p<0.001 and 0.016, respectively). The only significant interaction was found between unsafe sexual behavior and exercise (p=0.009). Based on logistic regression analysis, within the non-exercise group, significant positive associations were observed between current smoking and anxiety (odds ratio [OR], 1.36; 95% confidence interval [CI], 1.18 to 1.57), as well as between unsafe sexual behavior and anxiety (OR, 1.33; 95% CI, 1.02 to 1.73). However, within the exercise group, no significant association was found between anxiety and either smoking or unsafe sexual behavior. Furthermore, no significant interaction was observed between unhealthy behaviors and exercise. Conclusions: These findings are insufficient to conclude that physical activity influences the relationship between unhealthy behaviors and anxiety.
Objectives: This study aimed to examined the socioeconomic disparities in oral health related behaviors and to assess if those behaviors eliminate socioeconomic disparities in oral health in a nationally representative sample of adults aged 30-64. Methods: Data are from the Korea Third National Health and Nutrition Examination Survey (2005). Behaviors were indicated by smoking, over intake of daily calories from carbohydrate, perceived stress, frequency of daily tooth brushing, use of oral hygiene goods, insufficient oral treatment. Oral health outcomes were self-reported dental caries and periodontitis during the last 12 months and perceived oral health. Education, household income, and employed status indicated socioeconomic position. Sex, age, residential area, marital status were adjusted for in the logistic regression analysis. Logistic regression analysis was used to assess socioeconomic disparities in behaviors. Logistic regression model adjusting and not adjusting for behaviors were compared to assess the change in socioeconomic disparities in oral health. Results: Clear socioeconomic disparities in all behaviors were showed. After adjusting for behaviors, the association between oral health and socioeconomic indicators attenuated but did not disappear. For example, the odd ratios of reporting poorer oral health for persons in no education or elementary school education and middle school education groups, compared with college or higher education group, were 1.77 (95% CI: 1.36-2.29) and 1.56 (1.19-1.97), respectively. After adjusting for all indicators of behaviors, these odds ratios attenuated to 1.54 (1.17-2.03) and 1.48 (1.15-1.91) for those groups, respectively. Conclusion: These findings suggest that the presence of more complex determinants of socioeconomic disparities in oral health should be considered with developing preventive policies for those disparities.
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