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Purpose@#This study aimed at identifying the level of active aging in older adults and the influence of the individual and community levels of community capacity on active aging. @*Methods@#A cross-sectional survey was conducted on a stratified sample of 380 older adults living in 35 neighborhoods of five regions in Seoul, the capital of South Korea. The structured questionnaire included the Korean version of instruments that measure active aging and community capacity at the individual level. Secondary data including metropolitan statistical information, a public data portal, and a city plan were used to acquire community-capacity factors at the community level. Data were analyzed with multilevel models. @*Results@#The overall active aging mean score was 3.00 ± 0.55 out of 5; the highest mean score was in the security domain (3.46 ± 0.65) and the lowest one was in the participation domain (2.71 ± 0.66). Individual factors associated with active aging included age, education, income, and community capacity at the individual level. At the community level, two community-capacity factors (senior leisure welfare facilities and cooperative unions) were significantly associated with active aging. In active aging, 6.4% and 4.1% of total variance could be explained by 35 neighborhoods, after considering individual and community level variables, respectively. @*Conclusion@#This study showed that community capacity is important for active aging among older adults. Appropriate strategies that consider both individual and community factors, such as contextual indicators of community capacity, are necessary to improve active aging.
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Purpose@#This study aimed at identifying the level of active aging in older adults and the influence of the individual and community levels of community capacity on active aging. @*Methods@#A cross-sectional survey was conducted on a stratified sample of 380 older adults living in 35 neighborhoods of five regions in Seoul, the capital of South Korea. The structured questionnaire included the Korean version of instruments that measure active aging and community capacity at the individual level. Secondary data including metropolitan statistical information, a public data portal, and a city plan were used to acquire community-capacity factors at the community level. Data were analyzed with multilevel models. @*Results@#The overall active aging mean score was 3.00 ± 0.55 out of 5; the highest mean score was in the security domain (3.46 ± 0.65) and the lowest one was in the participation domain (2.71 ± 0.66). Individual factors associated with active aging included age, education, income, and community capacity at the individual level. At the community level, two community-capacity factors (senior leisure welfare facilities and cooperative unions) were significantly associated with active aging. In active aging, 6.4% and 4.1% of total variance could be explained by 35 neighborhoods, after considering individual and community level variables, respectively. @*Conclusion@#This study showed that community capacity is important for active aging among older adults. Appropriate strategies that consider both individual and community factors, such as contextual indicators of community capacity, are necessary to improve active aging.
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A profession is characterized by advanced theoretical and systematic knowledge, which can provide that profession with autonomy and authority. This paper examines the factors affecting the realization of complete professional autonomy such as the market and capital, patients, and the state. The primary factor of weak autonomy is due to the undifferentiated interests of professionalism from the influence of capital. The second factor is the ineffective system of self-regulation over physician behavior. The third factor is the underdevelopment of medical values, which could override the current conflicts between physicians and the state.
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Humanos , Fibrinógeno , Autonomía ProfesionalRESUMEN
Despite the recent increase in the use of complementary and alternative medicine (CAM) among the general population and patients, little is known about Korean physicians' attitudes about and interest in CAM. We conducted a web-based survey of knowledge, attitude, and experience in CAM among primary care physicians (PCPs) and academic physicians (APs) in Korea. A total of 826 physicians (341 PCPs and 485 APs) responded. Respondents in both groups felt that they were not sufficiently knowledgeable about CAM. PCPs, however, had a significantly higher composite index score in CAM knowledge than that of APs. Although APs were more skeptical about the scientific evidence of CAM than PCPs, both groups had a positive attitude toward CAM. The level of experience in utilizing CAM in their practice was 23.2% among PCPs, which was much higher than that among APs (2.7%). Experience rates of referring patients to CAM were 11.7% in PCPs and 4.5% in APs (P<0.001). Despite the discrepant rates in CAM education between the two groups (58.7% in PCPs and 26.0% in APs, P<0.001), the majority of doctors in both groups (85.0% in PCPs and 70.0% in APs) expressed an intention to participate in authorized CAM coursework. In conclusion, despite the lack of scientific evidence, both PCPs and APs have an interest in incorporating CAM into their conventional medical practices. To meet physicians' increasing needs for CAM the Korean medical societies should promote education and research about CAM in the conventional medical system.