Purpose: This study was designed to find differences between physical activity and health-related factors of Korean male adults. Methods: Using the 2010 Korean National Health and Nutrition Examination Survey (NHANES V-1), the data of 1,876 Korean males over 30 years old who completed the Health Interview, Health Behavior Surveys and International Physical Activity Questionnaire (IPAQ) were analyzed. Analysis of differences in physical activity according to socio-demographic factors, physical health-related factors and psychological health-related factors was tested using the F-test and chi-square test with SPSS 12.0. Results: The high physical activity group was merely 2.5% and the moderate group was 51.4%. In each group, the study showed significant differences in age (p=.017), education status (p=.019), and economic status (p=.032) of socio-demographic factors, in body mass index (p=.003), vitamin D (p=.020) and hypertension status (p=.007) of physical health-related factors, and in recognition of stress (p=.027) of psychological health-related factors. Conclusion: These results revealed that physical activity can play an important role in nursing intervention of physical and psychological health-related factors in male adults.
The purpose of this study is to examine factors causing the female adolescent sexual activity. 201 female adolescents participated in this study. Each participant was classified into the sexual activity experience or non-sexual activity experience group on the basis of survey. In total, 87 female adolescents have sexual activity experience, and 114 female adolescents have non-sexual activity experience. Analysis reported that sexual activity experience group was more positive on the adolescent sexual activity than non-sexual activity experience group. Also sexual activity experience group has more peers having sexual activity and pregnancy experience than non-sexual activity experience group. And, sexual activity experience group was more coping level and lower father social support than non-sexual activity experience group. Logistic regression analysis was conducted in order to determine the extent to which the attitude on the adolescent sexual activity, peer group's sexual experiences, social support, and coping factors affected on female adolescent sexual activity. As a results, peer's sexual activity and peer's pregnancy factors were significantly associated with it. Finally based on the results, the intervention strategies were suggested.
This study is an empirical study on the relationships among success factors of six sigma(support of top management, education and training, performance-based reward, customer and quality focused thought) on change management activity and business performance. In particular, mediating effect of change management activity on the relationship between success factors of six sigma and business performance is empirically analysed to find causes and impacts among these variables. The study results are as follows: First, there were positive relationships between critical success factors of six sigma(except support of top management) and change management activity. Second, there was also a positive relationship between change management activity and business performance. Third, there were also positive relationships between critical success factors of six sigma and business performance. Finally, change management activity was partial mediating effects on the relationship between critical success factors of six sigma(education and training, performance-based reward, customer and quality focused thought) and business performance. On the other hand, support of top management had no mediating effect on business performance.
This study, targeting Korean tertiary hospitals and general hospitals, aims to analyze how value chain model in health and medical institution suggested by Duncan and else influences on hospital management. A survey was conducted to verify the actual proof analysis of this study model. 880 questionnaires were distributed to entire 88 hospitals and 739 copies were returned from 76 hospitals. This study mainly consists of three steps to analyze the effect value chain activity has on management performance of general hospitals. For the first step, we analyzed the effects service delivery activity has on management performance. For the second step, we analyzed the effects service support activity has on management performance and for the third, we analyzed the effects interaction between service delivery activity and service support activity has on management performance. The main results of this study are as follows. First, in terms of the management performance of scale, the factors which influenced on daily charge of outpatient were service activity before treatment, at the moment of treatment and value chain activity, while more important factors in daily charge of inpatient were organizational culture, organizational structure and value chain activity. In terms of management performance of quality, the factors which influenced on the first medical examination rate of outpatient were service activity before, at the moment of and after treatment, while activity at the moment of treatment, organizational structure, and value chain activity which is interaction were more important factors in average length of stay. In terms of non-financial performance, the management performance factors which influenced on job satisfaction were service activity at the moment of, after the treatment and value chain activity, while organizational culture, strategy resources and value chain activity which is interaction were more important factors in job commitment. Secondly, all the service support activity, service delivery activity and value chain activity had statistically significant effect on management performance. Among the three factors, service support activity had relatively high effect than others.
Objectives: The purpose of this study was to identify personal and social environmental factors associated with physical activity and sedentary behavior among elementary school students. Methods: Cross-sectional self-reported data were collected from a conveniently clustering sample population of 1538 grade 5 to 6 students attending 19 elementary schools in Seoul metropolitan city and Gyeonggi province. Data were statistically analyzed using Chi-square test and multiple logistic regression analysis. Results: In multiple logistic regression analyses, significant factors that were associated with schoolchildren's physical activity were gender, father's job, social support for physical activity, friend support, participation in school physical education class. Father's education level, mother's job, family functioning and urban residents were significantly associated with TV viewing and gender, age, BMI(obesity), mother's job, family functioning and urban residents were significantly associated with playing computer games among elementary schoolchildren. These results showed that physical activity among elementary school students was most associated with social environmental factors and sedentary behavior among school students was most associated with personal and family environment factors. Conclusion: Health care providers should develop interventions to improve these family and social environmental factors to increase physical activity levels and to decrease sedentary behavior among elementary schoolchildren.
Kwon, Su Jin;Choi, Eun Kyoung;Lee, Kyung Hee;Im, Yu-Mi
Child Health Nursing Research
/
v.25
no.3
/
pp.262-272
/
2019
Purpose: We aimed to identify factors influencing physical activity in adolescents with complex congenital heart disease. Methods: We recruited 92 adolescents with complex congenital heart disease from a tertiary medical center in Seoul, measured their levels of physical activity, and identified factors that influenced their physical activity levels using the Global Physical Activity Questionnaire, the New York Heart Association classification, congenital heart disease complexity, the Self-Efficacy Scale, and the Parental Bonding Instrument scale. Stepwise multiple linear regression was used to determine factors influencing physical activity. Results: Total physical activity was higher in males than in females (t=4.46, p<.001). Adolescents who participated in school physical education classes engaged in more physical activity than those who did not (t=6.77, p<.001). Higher self-efficacy (${\beta}=.41$, p<.001), male gender (${\beta}=.37$, p<.001) and participation in school physical education classes (${\beta}=.19$, p=.042) were associated with a higher likelihood of engagement in physical activity. Conclusion: It is necessary to develop nursing interventions that enhance self-efficacy in order to promote physical activity in adolescents with complex congenital heart disease. Physical activity should also be promoted in an individualized manner, taking into account gender, disease severity, and parental attitude.
Objectives : This study aimed to identify the factors influencing insufficient physical activity in community-dwelling elderly individuals with dementia. Methods : Data were analyzed using a 2014 Survey of Living Conditions of Elderly Individuals. Metabolic Equivalent Task (MET) hours were calculated using self-reported weekly frequency, duration, and types of physical activities to measure the degree of physical activity. Results : Mean MET hours were $4.03{\pm}8.59$. Factors influencing insufficient physical activity included limitations in activities of daily living (ADL), lower frequency of social group participation and unsatisfactory relationships with friends or community. When demographic factors were adjusted, patients with ADL limitation had 11.2 times higher risks of insufficient physical activities than those without. Conclusions : Community-dwelling elderly with dementia performed low levels of physical activity. Further research is needed to develop strategies to encourage physical activity participation in this population.
Purpose. This study is based on physical and mental health and physical activity differences in Practice rate each physical activity according to the body to target the 319 people who live in rural areas of 65 and older who have chronic diseases Practice rate activities, general characteristics of chronic diseases, elderly differences in physical activity and investigate the factors that influence. Methods. Physical activity Practice rate was used for descriptive statistics. Each physical activity Practice rate in accordance with the general characteristics of the rural elderly chronic disease were independent T test and One-way ANOVA test. To evaluate the factors influencing the physical activity was the multiple logistic regression analysis. Results. Results of physical activity practice was the most flexibility exercise was walking then, Practice rate each physical activity in accordance with the general characteristics of the elderly are tangible and physical activity radish age, housing type, education level, health insurance part statistically significant were different. Physical health status according to the presence or absence of physical activity showed a significant difference in daily life activities and limited mental health differences were not significant. Factors affecting the physical activity of the elderly with chronic diseases appeared to limit the presence and activities of daily living. Conclusions. As well there is no activity restrictions can be more physically active everyday life well. It is suggested that it is important to approach everyday life, I can help eliminate the factors that independently giving limits on the activities of the elderly with chronic diseases.
The purpose of this study was to identify the factors associated with child's Body Mass Index (BMI) and physical activity. The participants (n = 133) were Korean juveniles (3rd and 4th graders) and their parents. They completed a questionnaire packet including the SPARK (Sports, Play, and Active Recreation for Kids) survey and the parent equivalent survey. Correlation, multiple linear regression and binary logistic regression analyses were applied to identify the association between child's BMI and 10 factors of SPARK as predict or variables. 25.6% of the participants were classified as overweight (21.1%) or obesity (4.5%). 3 parental factors including mother's BMI and frequency of mother's and father's physical activity were identified as significant predictors of children's BMI. The 10 variables accounted for 28% of the variance (p<.01) in the linear regression model. These results provide insight into parental factors which are related to a child's BMI and physical activity. Parental role modeling which refers to parents' efforts to model an active lifestyle for children plays an important role.
[Purpose] Epidemiological evidence has shown that leisure-time physical activity and structured exercise before and after breast cancer diagnosis contribute to reducing the risk of breast cancer recurrence and mortality. Thus, in this review, we aimed to summarize the physical activity-dependent regulation of systemic factors to understand the biological and molecular mechanisms involved in the initiation, progression, and survival of breast cancer. [Methods] We systematically reviewed the studies on 1) the relationship between physical activity and the risk of breast cancer, and 2) various systemic factors induced by physical activity and exercise that are potentially linked to breast cancer outcomes. To perform this literature review, PubMed database was searched using the terms "Physical activity OR exercise" and "breast cancer", until August 5th, 2020; then, we reviewed those articles related to biological mechanisms after examining the resulting search list. [Results] There is strong evidence that physical activity reduces the risk of breast cancer, and the protective effect of physical activity on breast cancer has been achieved by long-term regulation of various circulatory factors, such as sex hormones, metabolic hormones, inflammatory factors, adipokines, and myokines. In addition, physical activity substantially alters wholebody homeostasis by affecting numerous other factors, including plasma metabolites, reactive oxygen species, and microRNAs as well as exosomes and gut microbiota profile, and thereby every cell and organ in the whole body might be ultimately affected by the biological perturbation induced by physical activity and exercise. [Conclusion] The understanding of integrative mechanisms will enhance how physical activity can ultimately influence the risk and prognosis of various cancers, including breast cancer. Furthermore, physical activity could be considered an efficacious non-pharmacological therapy, and the promotion of physical activity is probably an effective strategy in primary cancer prevention.
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