The purpose of this study was to examine the self-rated health and to find various factors affecting it for elderly women in a rural community, to provide data necessary to establish health promotion programs for elderly. The subjects of the study included a total of 245 women with above 70 years of age reside in one rural community. VAS (Visual Analogue Scale) for self-rated health, Lawton's physical & instrumental activity of daily living scales, social network were evaluated. The results of the study were as follows: 1. The self-rated health of the elderly women were measured on a 100 point(VAS) scale and the score was 53.6, indicating that women rated their health as moderate. 2. Factors such as income(p=0.008), family size(p=0.031), the level of ADL(p=0.039), urinary symptom(p=0.039), nocturia(p=0.001), visual difficulty(p=0.023), the number of chronic diseases(p=0.015), presence of arthritis or neuralgia(p=0.015), social network(p=0.002), housework assistant(p=0.008), emotional support(p=0.031) were significantly related to self-rated health. 3. Through the stepwise multiple regression, social network, family size, visual difficulty, and housework assistant were identified as significant predictors of self-rated health(p<0.05), explaining $21.0\%$ of the variance of the dependent variable. Better understanding of the determinants of healthy aging hopefully will lead to effective interventions to improve the quality of life of the elderly.
International Journal of Advanced Culture Technology
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v.5
no.2
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pp.19-25
/
2017
The research is to identify social networks of problems that have an influence on the quality of ageing people's lives by using social network analysis, based on the premise that there are differences in networks of ageing problems in urban and rural areas. From analyzing network of ageing people's problems using NodeXL, vertices in the networks of both urban and rural areas are well-connected. For urban areas, financial poverty is the core problem related to the quality of life. It has direct connections with illness and health, family responsibility, housing, role loss in community, and employment, which have positive or negative interactions with the quality of older people's lives. For rural areas, on the other hand, role loss in community is the major problem. It has direct connections with the elderly abuse, financial poverty, leisure activity, divorce, isolation and loneliness from society, education, and suicide. As a result, the research shows that the problems of ageing people have strong linkages and interactive effects with a structure of network, and the networks are different depending on types of places for living.
Purpose: The main purpose of this study was to explore the adaptation experience of adolescent cancer survivors during and after cancer treatment, and their perceived social support networks. Methods: This study was a qualitative descriptive study using the in-depth interview. Eight adolescent cancer survivors who were diagnosed with cancer between 11 to 18 years old participated in the study. Results: The adaptation experiences of adolescent cancer survivors over time were identified within five categories for during their treatment such as "being catapulted from one's life," "standing at the center of discomfort," "falling behind the line," "accepting the change," "being developed", and another five categories for after the treatment including "being shackled," "encountering the forgotten reality," "overcoming and emerging from the reality," "growing into adulthood," "entering into a new orbit." Participants reported the various members of their social support network and their roles during and after the treatment as well. Conclusion: While adolescent cancer survivors adjusted to their changing situations after the cancer diagnosis, their internalized adaptation, as well as perceived social support from their diverse surrounding network, played significant roles. These findings will become a valuable asset for developing age-appropriate nursing interventions to promote psychosocial adjustment of adolescents with cancer.
Purpose: The purpose of this study was to analyze the concept of social support of nursing students using a hybrid model and to derive a definition and attributes of social support through theoretical, fieldwork, and final analysis stages. Methods: Twenty-nine studies were analyzed in the theoretical stage. Seventeen in-depth interviews were conducted with nursing students in the fieldwork stage. In the final analysis stage, the concept of social support was defined and the attributes were derived by integrating the theoretical and fieldwork stages. Results: The attributes of social support of nursing students identified in the final analysis consisted of two dimensions and eight attributes. The two dimensions were structural and functional support. The eight attributes were social network, educational, emotional, informational, economic, positive evaluation, self-esteem support, and support by providing a role model provision. The structural dimension included the social network support attribute. The functional dimension included the remaining seven attributes. Educational support and support by providing of a role model provision were newly derived attributes that reflected specific characteristics of nursing students. Conclusion: Based on the results of this study, we suggest that researchers should attempt to develop a scale to measure the social support of nursing students.
This manuscript treats a new paradigm for the Korean health care system. We give an account of innovative health care delivery and payment models widely discussed in the contemporary US accountable care organization and coordinated care organization. In doing so, we explore a new health care model amenable to foreseeable changes to the health care system. We propose creating an integrated health care system in which the network of health care providers delivers coordinated and comprehensive care for enrolled patients residing within the geographic boundaries served by the provider network; providers may participate voluntarily in one or more networks and assume shared responsibility for patient care and cost; provider networks compete with each other based on cost and quality; and consumers are allowed to choose a network. We expect that the new paradigm will create a financially-sustainable system that assures quality of care and improves patient experience, minimizing the existing system-wide inefficiency through cross-network competition and within-network care coordination.
Purpose: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. Methods: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python. A morphological analysis was performed using KoNLPy. Nodes on a 'comprehensive nursing care service' cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network. Results: A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, 'nursing workforce' and 'nursing service' were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were 'National Health Insurance Service' and 'comprehensive nursing care service hospital.' The nodes with the highest edge weight were 'national health insurance,' 'wards without caregiver presence,' and 'caregiving costs.' 'National Health Insurance Service' was highest in degree centrality. Conclusion: This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.
Journal of Family Resource Management and Policy Review
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v.10
no.4
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pp.87-107
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2006
A study of 117 Korean immigrant women who had husband and(or) children in Hawaii found the relation between social networks and psychological well-being. Social networks composed supporters, support structure, and support contents. Psychological well-being examined family life satisfaction, family life stability, and women's psychological health. Results showed as followed. First, the choice of immigration place among Korean immigrant women and her family based on other family members and friends lived in there. Second, her supporters were family and relatives, Korean friends, foreign friends, religions, belonged organizations and groups, public agencies in Hawaii, and mass-media. The best supporters of them was family and relatives and they mostly provided mental health to Korean immigrant women. Family, Korean friends, foreign friends, and religions tended to support emotional assistance. Third, the level of psychological well-being was higher. Her level of psychological health was higher than the others. Fourth, the best predictors of psychological well-being were child existence, occupation, and immigration duration. Fifth, psychological well-being significantly distinguished different relations of supporters from support structure of social network. The number and support duration with foreign friends supporter and the support duration and the level of perceived useful support content highly related with psychological well-being.
Solutions for elderly health issues need to be found that take into account not only a medical perspective, but also interactions with social conditions such as socioeconomic status. With this in mind, this study aims to understand how socioeconomic status leads to health inequalities for the elderly. Specifically, this study investigates the mediating effects of socioeconomic status(income and education levels), health activities as an intermediary of the three dimensions of physical health(medical health, functional health, subjective health), accessibility of medical facilities, social participation, and social network. To test the research model, a secondary data analysis was conducted on the 2014 National Survey of Senior Citizens. The participants of the study were 10,451 elderly men and women aged 65 and above. To test the mediated model, hierarchical multiple regression analysis was conducted following the procedures suggested by Baron and Kenny(1986). In addition, a Sobel test was conducted to test the mediated model's significance. According to the analysis, the effects of income and educational levels on the health of the elderly were not the same. Additionally, different results were found depending on health dimensions. However, the overall direction of the results showed that the socioeconomic status of the elderly creates health disparities, and health behaviors, accessibility of medical facilities, social participation, and social network had significant mediation effects between socioeconomic status and physical health. Study findings especially worth noting are as follows: education was shown to have a stronger effect on health than income; effects of social integration factors such as social participation were highlighted; and significant mediating effects on the accessibility of medical facilities remained even after taking residential area into account. Results of this study shed light on health inequality mechanisms due to socioeconomic conditions and the need to find alternatives to alleviate these problems.
Journal of Agricultural Extension & Community Development
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v.24
no.4
/
pp.223-235
/
2017
This study aims to identify the factors affecting the depression of elderly women in rural areas, by focusing on social network and sense of community. The questionnaires were conducted from July to September, 2016 by face-to-face interviews with the elderly women using the senior citizen center in rural areas. As a result, 302 questionnaires were collected, and of which 292 cases were utilized for the final analysis. The analysis revealed that socio-demographic characteristics, social network, and community consciousness had a significant effect on depression. The main results are summarized as follows. First, in first model, age, education, subjective health status, and subjective economic status were found to affect depression. Second, in second model, by adding the social network, the explanation power increased, and the social network of friends/neighbors were proven to be an influence on depression. Third, in third model, explanation power increased when sense of community was added, and it was proven that sense of community had an effect on depression. Finally, when the socio-demographic characteristics and the social network were controlled, the sense of community had more influence on the depression than the social network.
Mohammadzadeh, Zeinab;Davoodi, Somayeh;Ghazisaeidi, Marjan
Asian Pacific Journal of Cancer Prevention
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v.17
no.3
/
pp.933-936
/
2016
Online social network technologies have become important to health and apply in most health care areas. Particularly in cancer care, because it is a disease which involves many social aspects, online social networks can be very useful. Use of online social networks provides a suitable platform for cancer patients and families to present and share information about their medical conditions, address their educational needs, support decision making, and help to coping with their disease and improve their own outcomes. Like any other new technologies, online social networks, along with many benefits, have some negative effects such as violation of privacy and publication of incorrect information. However, if these effects are managed properly, they can empower patients to manage cancer through changing behavioral patterns and enhancing the quality of cancer patients lives This paper explains some application of online social networks in the cancer patient care process. It also covers advantages and disadvantages of related technologies.
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