Objectives: This article intends to explore the major documents about inter-sectoral collaboration for physical activity promotion based on new paradigm. Methods: In addition to the documents after 1990s collected through several physical activity related projects of author, additional snowballing exploration has been done. Results: Globally extensive participation of stake-holders and partnership developed were strategically recommended and implementation strategy and good example were provided. In Europe individual, micro-environmental and macro-environmental specific role of major sectors were provided. Nationally series of Australian documents officialized inter-sectoral linkages from early times and Slovenian program showed examples of inter-sectoral evaluation and health indicators. U.S. national physical activity plan showed specific example of 6 guiding principles and 5 overarching strategies among 8 sectors for good inter-sectoral collaboration. In city level, healthy city approach activated. Conclusions: Various specific good examples of intersectoral physical activity collaboration could searched globally, regionally and nationally for application in Korea.
Journal of The Korean Society of Integrative Medicine
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v.12
no.2
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pp.187-195
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2024
Purpose : Many studies have confirmed the relationship between physical exercise, chronic diseases, and quality of life, but few of those studies were limited to aerobic exercise. Above all, no research has confirmed the relationship between aerobic exercise and the oral health. This study is significant because it is the first study to confirm the relationship between aerobic exercise, which is practiced more frequently than other exercises, and oral health in adults. Through this study, we hoped to confirm the complex impacts of aerobic exercise on health-related quality of life, oral health-related behavior, and oral health status in adults and to use these impacts as basic data on the importance of aerobic exercise. Methods : In this study, the following analysis was conducted based on a complex sample design that applied stratification variables, cluster variables, and weights using SPSS version 21.0. Complex sample cross-analysis was conducted to identify general characteristics according to aerobic physical activity practice, and oral health-related characteristics according to the aerobic physical activity practice rate. Then, complex sample logistic regression analysis was conducted to determine the effect of aerobic physical activity practice on oral health-related characteristics. During the statistical analysis, missing values were treated as valid values, and the statistical significance level was set at .05. Results : Aerobic physical activity practice was 1.39 times higher among the respondents who brushed their teeth after lunch (p<.001), 1.43 times higher among those who used dental floss (p<.001), 1.24 times higher among those who used mouthwash (p=.040), and 1.37 times higher was among those who had not experienced dental treatment (p=.040), which were statistically significant differences. Conclusion : This study found that when an individual's health status is maintained, positive oral health behavior can be achieved by paying attention to oral health, and this appears to contribute to improving oral health.
Objectives: This study evaluated the dietary habits and health behaviors of Korean adults according to their physical activity. Methods: Adults aged 19~64 years, who participated in the 2016~2018 National Health and Nutrition Examination Survey, were enrolled in this study. The subjects were classified into the physical inactivity group, aerobic physical activity group, strength exercise group, and combined exercise group. Results: Significant differences in skipping breakfast, frequency of eating out, dietary supplements, and alcohol drinking status were observed among physical activity groups (P < 0.001). The combined exercise group had the highest % KDRI of protein, vitamin A, thiamin, riboflavin, niacin, calcium, potassium, and iron (P < 0.001). The physical inactivity group had the highest obesity rate (35.1%), and they perceived their body image type to be obese. In the combined exercise group, 47.8% of respondents said they were in good health (P < 0.001). The health-related quality of life score of the physical inactivity group was the lowest, with a score of 0.94. The metabolic syndrome risk rate of the combined exercise group was lower at 0.62 times (95% CI, 0.51-0.75) than the physical inactivity group. Conclusions: The physical activity type was associated with metabolic syndrome. These results can be useful for supporting dietary education and physical activity programs for adults.
A commitment to physical activity is necessary for personal health, and is a primary goal of physical activity practitioners. Effective practitioners rely on theory and research as a guide to best practices. Thus, sound theory, which is both practical and parsimonious, is a key to effective practice. The purpose of this paper is to review the literature in search of such a theory - one that applies to and explains commitment to physical activity in the form of sport and exercise for youths and adults. The Sport Commitment Model has been commonly used to study commitment to sport and has more recently been applied to the exercise context. In this paper, research using the Sport Commitment Model is reviewed relative to its utility in both the sport and exercise contexts. Through this process, the relevance of the Investment Model for study of physical activity commitment emerged, and a more parsimonious framework for studying of commitment to physical activity is suggested. Lastly, links between the models of commitment and individuals' participation motives in physical activity are suggested and practical implications forwarded.
Purpose: This study was conducted to determine the neighborhood environmental factors associated with physical activity among adults living in rural communities. Methods: A cross-sectional descriptive survey was conducted with a convenience sample of 201 adults living in three Ri in Y-city, Gyeonggi-do. Data were collected from face-to-face interview by trained interviewers and were analyzed using a zero-inflated negative binominal regression model. Results: Participants reported engaged in moderate or vigorous physical activity was 76.1%; 10.5% of participants reported that they met moderate physical activity recommendations and 14.5% of participants reported that they met vigorous physical activity recommendations. Zero-inflated negative binominal regression analysis showed association of increasing days of physical activity with social cohesion (${\beta}=.130$, p=.005), social network (${\beta}=-.096$, p=.003), and safety for crime (${\beta}=-.151$, p=.036), and no days of physical activity was associated with no attainment of education and marginally associated with increasing BMI. Conclusion: Neighborhood environmental factors including social cohesion, social network, and crime for safety were significantly associated with physical activity of rural adults. Community health nurses should expand an approach for individual behavior change to incorporate rural adults' specific neighborhood environmental factors into physical activity interventions.
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.
Objectives: This study performed to verify Korea National Health and Examination Survey(KNHAES) to monitor recommended physical activity(PA) and to propose an monitoring tools for evidence-based PA projects. Methods: The characteristics of the Global Physical Activity Questionnaire(GPAQ) and its reliability and validity were overviewed based on the current scientific evidence in the field of PA. Relevant articles were identified through multiple sources including PubMed, Science Direct, Scopus, CINAHL, ASP, RISS4U, and KISS. Results: The GPAQ has strong points over the Short Form of International Physical Activity Questionnaire(IPAQ-SF) as a monitoring tool to meet recommended PA levels for three domains separately and reflecting a better understanding about walking. Its reliability and validity also were reported as acceptable in existing studies overall. Some limitations of this questionnaire, however, need to be addressed to improve its quality. Conclusions: For monitoring of evidenced-based physical activity projects, we considered that it is able to be provided an opportunity for in-depth discussion among academic experts and policy-makers about the necessity of complements for KNHAES and applying new tools, and it could be the basis for development of physical activity monitoring tool in the future.
Park, Yoon-Soo;Yoo, Wang-Keun;Han, Sam-Sung;Kong, Mi-Jin
The Korean Journal of Health Service Management
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v.13
no.3
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pp.93-103
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2019
Objectives: The purpose of this study was to analyze the association between health status and physical activity levels in older adults (over 65 years) in Korea. Methods: The participants were selected from the database of the Seventh Korea National Health and Nutrition Examination Survey (KNHANES VII), conducted by the Korea Centers for Disease Control and Prevention in 2017. A chi-square test and logistic regression analysis were used to analyze data. Results: The findings showed that health conditions such as hypertension and diabetes were related to physical activity levels of the older adults. In addition to health status, social and economic factors such as gender, age, and geographic region should be considered in order to initiate the practice of aerobic and strength exercise in the older adults. Conclusions: To initiate physical activity levels in the older adults, it is necessary to consider support for costs involved, policies required for the development of integrated exercise programs, expansion of public exercise facilities, and improved facilities.
Purpose: This study was designed to examine fear of falling, depression, physical fitness, and physical activity and further to identify the factors that predict physical activity among community dwelling elders. Methods: This study was a cross-sectional descriptive survey. Participants were 153 community dwelling elders from G city. Data were collected using structured questionnaires and were analyzed using descriptive statistics, ${\chi}^2$-test, t-test, ANOVA, and multinominal logistic regression analysis. Results: Activity levers were coded as inactive, minimal activity and enhancing physical active. Thirty-three point three percent reported inactivity, forty-seven point seven percent reported minimal activity and nineteen percent reported health enhancing physical activity. There were significant differences in physical activity relative to gender, age, falling experience, perceived health, and living situation. Further, there was significant difference in fear of falling, depression, and physical fitness by physical activity. For instance, Fear of falling (OR=1.04, p=.014) was a significant predicting factor for physical activity, In contrast for the enhancing physical active the variables of gender (OR=0.28, p=.046), age (OR=0.86, p=.021), perceived health (fair: OR=13.61, p=.006), fear of falling (OR=1.04, p=.026), and two-minute step (OR=1.04, p=.049) were significant. Conclusion: The results of this study indicate that physical activity intervention programs are needed to increase physical activity for community dwelling elders. Physical activity intervention programs should be developed and evaluated.
Purpose: The purpose of this study was to investigate the influence of physical activity on smoking experience and smoking intensity in Korean high school students. Methods: This cross sectional study used secondary data from the 2013 Adolescent Health Behavior Online Survey. A total of 35,905 high school students were included in the study. Logistic regression was used for analysis of the influence of moderate and vigorous physical activity on smoking experience in a month and smoking intensity. Results: Adolescents with low (Adjusted OR: 1.242, 95% CI: 1.075~1.436) and moderate level (Adjusted OR: 1.094, 95% CI: 1.005~1.189) of moderate physical activity had more smoking experience than reference group, high level of physical activity. Also, smoking experience was more prevalent adolescents with low (Adjusted OR: 1.191, 95% CI: 1.064~1.333) and moderate level (Adjusted OR: 1.134, 95% CI: 1.039~1.237) of vigorous physical activity. Heavy smoking was more prevalent among adolescents who had low level of vigorous physical activity (Adjusted OR: 1.912, 95% CI: 1.347~2.712). Conclusion: Based on the results of this study, physical activity has significant influence on smoking experience and smoking intensity. Therefore, physical activity should be included smoking cessation and smoking prevention program for High School Students.
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