• 기본간호학회지
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• 제20권2호
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• pp.98-107
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• 2013

Purpose: This study was done to identify the relationship of malnutrition, social network and health-related quality of life and to investigate the main factors influencing health-related quality of life in elders. Methods: The research design was a descriptive survey design using a convenience sampling. Data were collected by self-report questionnaires from 196 elders. Data analysis was done using SPSS 18.0 pc+ program for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Results: The average score for health related quality of life was 3.33 (SD=0.86). Differences in health-related quality of life were statistically significant according to age, gender, occupation, presence of spouse, monthly income, source of income, economic status, medicine, and existence of chronic disease. Health-related quality of life was significantly correlated with malnutrition and social network. Major factors affecting health related quality of life for elders were malnutrition, occupation, age, social network, and economic status which explained 52.0% of the variance in health related quality of life. Conclusion: Findings provide a basis for developing nursing interventions to improve health-related quality of life. Future studies are needed a wide variety of variables that might influence health -related quality of life in elders.

• Journal of Preventive Medicine and Public Health
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• 제46권6호
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• pp.336-345
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• 2013

Objectives: Research has shown that obesity appears to spread through social ties. However, the association between other characteristics of social networks and obesity is unclear. This study aimed to identify the association between social network characteristics and body mass index (BMI, $kg/m^2$) in an elderly Korean population. Methods: This cross-sectional study analyzed data from 657 Koreans (273 men, 384 women) aged 60 years or older who participated in the Korean Social Life, Health, and Aging Project. Network size is a count of the number of friends. Density of communication network is the number of connections in the social network reported as a fraction of the total links possible in the personal (ego-centric) network. Average frequency of communication (or meeting) measures how often network members communicate (or meet) each other. The association of each social network measure with BMI was investigated by multiple linear regression analysis. Results: After adjusting for potential confounders, the men with lower density (<0.71) and higher network size (4-6) had the higher BMI (${\beta}$=1.089, p=0.037) compared to the men with higher density (>0.83) and lower size (1-2), but not in the women (p=0.393). The lowest tertile of communication frequency was associated with higher BMI in the women (${\beta}$=0.885, p=0.049), but not in the men (p=0.140). Conclusions: Our study suggests that social network structure (network size and density) and activation (communication frequency and meeting frequency) are associated with obesity among the elderly. There may also be gender differences in this association.

• 보건교육건강증진학회지
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• 제22권2호
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• pp.173-193
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• 2005

Objectives: The purpose of this study is to analyze the peer group factor related to adolescent smoking in the social structure(network) of adolescent groups, by applying the theory of social network. Methods: The data was collected from boy students of one high school located in Gun-Po city of Kyonggi Province. The total number of the sample was 605(223 first grade, 198 second grade, 184 third grade). The survey using the questionnaire was carried out in April 2005. Social position is finally classified as clique member, liaison, isolate group by using the NetMiner II 2.5 version. Results: The current smoking rate was 15.0%, and the life-time smoking rate was 34.9%. The smoking rate increased significantly, as the grade went up. And it was significantly high among the group having smoking friends. The logistic regression analysis showed that the odds ratio of the smoking friends group was about 4 times higher than the no smoking friends group in experience of smoking. But the smoking rate was higher significantly in the isolate group within the network composed of 2. person's social-link. The odds ratio of the isolate group was about 4.5 times higher than the clique member. However, this pattern was not found in the network composed of 3 person's social-link. Therefore, the hypothesis that clique member would have a correlation with smoking was rejected. In reality, the isolate group had a tendency of smoking more frequently. Conclusions: The result of this study suggests that the role of the peer group in smoking is to be considered in the prevention program. More attentions should be paid for the isolate group.

• 한국문헌정보학회지
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• 제20권
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• pp.297-330
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• 1991

The work presents the theoretical background and methodology to network analysis. This approach to information network has been widespread use in many researches of social science. Theoretically based idea of structural analysis of information flow were reviewed and the major perspective and the practical aspects of the analysis were discussed. To show an approach of the methodology to library environment, HISP project which analyzed the network structure of a health information dissemination to a health community was demonstrated.

• Journal of Preventive Medicine and Public Health
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• 제56권1호
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• pp.31-40
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• 2023

Objectives: This study investigated the effect of cognitive impairment on the association between social network properties and mortality among older Korean adults. Methods: This study used data from the Korean Social Life, Health, and Aging Project. It obtained 814 older adults' complete network maps across an entire village in 2011-2012. Participants' deaths until December 31, 2020 were confirmed by cause-of-death statistics. A Cox proportional hazards model was used to assess the risks of poor social network properties (low degree centrality, perceived loneliness, social non-participation, group-level segregation, and lack of support) on mortality according to cognitive impairment. Results: In total, 675 participants (5510.4 person-years) were analyzed, excluding those with missing data and those whose deaths could not be verified. Along with cognitive impairment, all social network properties except loneliness were independently associated with mortality. When stratified by cognitive function, some variables indicating poor social relations had higher risks among older adults with cognitive impairment, with adjusted hazard ratios (HRs) of 2.12 (95% confidence interval [CI], 1.34 to 3.35) for social nonparticipation, 1.58 (95% CI, 0.94 to 2.65) for group-level segregation, and 3.44 (95% CI, 1.55 to 7.60) for lack of support. On the contrary, these effects were not observed among those with normal cognition, with adjusted HRs of 0.73 (95% CI, 0.31 to 1.71), 0.96 (95% CI, 0.42 to 2.21), and 0.95 (95% CI, 0.23 to 3.96), respectively. Conclusions: The effect of social network properties was more critical among the elderly with cognitive impairment. Older adults with poor cognitive function are particularly encouraged to participate in social activities to reduce the risk of mortality.

• 한국콘텐츠학회논문지
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• 제14권12호
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• pp.764-774
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• 2014

본 연구의 목적은 지역 주민의 보편적인 양상으로 나타나고 있는 주관적인 정신건강이 지역 주민들의 삶에 내재되거나 변화되고 있는 사회적 자본인 신뢰, 사회참여, 네트워크역량, 지역사회의식과 어떤 관계를 가지고 있는가이다. 지역 주민의 삶의 질과 관련된 여러 선행연구에서 사회적 자본과의 긍정적인 관계를 설명하듯이 사회적 자본의 축적과 변화가 지역 주민의 주관적인 정신건강에 어떠한 영향을 미치는 것인지 살펴보고자 한다. 연구결과, 2010년도는 지역사회의식만이 정신건강에 영향을 미치는 것으로 나타났으며, 2011년도는 지역사회의식과 네트워크역량이 높을수록 지역 주민의 정신건강 점수도 높았지만, 사회참여는 참여가 많을수록 정신건강 점수가 낮게 나타났다. 2012년도는 지역사회의식과 네트워크역량이 높을수록 지역 주민의 정신건강 점수도 높게 나타났다. 또한 정신건강 점수가 높은 집단에서 모든 사회적 자본의 구성요소가 높은 주민들의 수가 가장 많았으며, 정신건강 점수가 낮은 집단에 비해 사회적 자본이 높은 주민들이 더 많았다. 사회적 자본 축적의 정도와 변화는 지역 주민의 정신건강에 간접적으로 작용하고 있음은 알 수 있었다.

• 보건교육건강증진학회지
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• 제21권2호
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• pp.199-214
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• 2004

This study was aimed to assess the social functions of rural residents and to identify factors related with social function. This study conducted a survey using interview-type questionnaires with the Rand social health battery, and measured social function and the related factors between August 21th and August 23th, at 2001. The study subjects were 546 people (158 males, 388 females) living in Chungju-City. The social functions of the subjects were very weak. 20.7 % of respondents said they had no family in their neighbors and they were not well enough acquainted with neighborhood to visit each other. The 24.2 % of respondents said they had no mend that they felt at ease with and could talk frankly. Social function scores were significantly associated with economic status (p＝0.0494), having a vehicle (p＝0.0019), daily living activity (p＝0.0092) in multiple analysis. However, there was no association with age, education, smoking, alcohol consumption, and chronic disease. Our finding showed that social function was not associated with health behaviors definitely. However, It may be important to change existing social network and social function in order to change health behaviors.

• Journal of Preventive Medicine and Public Health
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• 제56권4호
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• pp.327-337
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• 2023

Objectives: Considering the importance of social determinants of health (SDHs) in promoting the health of residents of informal settlements and their diversity, abundance, and breadth, this study aimed to identify, measure, and rank SDHs for health promotion interventions targeting informal settlement residents in a metropolitan area in Iran. Methods: Using a hybrid method, this study was conducted in 3 phases from 2019 to 2020. SDHs were identified by reviewing studies and using the Delphi method. To examine the SDHs among informal settlement residents, a cross-sectional analysis was conducted using researcher-made questionnaires. Multilayer perceptron analysis using an artificial neural network was used to rank the SDHs by priority. Results: Of the 96 determinants identified in the first phase of the study, 43 were examined, and 15 were identified as high-priority SDHs for use in health-promotion interventions for informal settlement residents in the study area. They included individual health literacy, nutrition, occupational factors, housing-related factors, and access to public resources. Conclusions: Since identifying and addressing SDHs could improve health justice and mitigate the poor health status of settlement residents, ranking these determinants by priority using artificial intelligence will enable policymakers to improve the health of settlement residents through interventions targeting the most important SDHs.

• 한국노년학
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• 제36권3호
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• pp.765-783
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• 2016

본 연구는 한국노인의 사회적 연계망 자체를 좀 더 심도있게 이해하기 위하여 2014년도 노인실태조사자료(65세 이상 10,279명)를 활용하여 관계망 크기, 연계와의 접촉 빈도, 연계에 대한 친밀도를 중심으로 잠재프로파일분석(LPA)을 실시하였다. 그 결과 노인의 사회적 연계망은 고립형(11.6%), 가족의례형(17.7%), 가족친밀형(23.6%), 제한적 다층친밀형(28.4%), 다층형(18.8%)의 다섯 개 유형으로 도출되었다. 또한 도출된 잠재집단 유형별 특징을 비교하였고, 사회적 관계망 유형에 영향을 미치는 요인을 분석하기 위한 다항로지스틱회귀분석을 실시하였다. 분석결과, 고립형 노인의 3/4은 여성이며 독거가구 비율이 약 절반을 차지하는 것으로 나타났다. 또한 상대적으로 평균연령이 높고, 도시지역에 거주하는 노인, 신체적 제한이 있는 노인, 사회적 지위가 낮은 직종에 종사한 노인이 고립형에 속할 가능성이 높은 것으로 나타났다. 반면 다층형의 경우 여성보다는 남성노인이, 연령이 낮을수록, 학력이 높을수록, 전문 관리 사무직에 종사한 노인일수록 다층형에 속할 가능성이 높았다. 한편 가족의례형과 가족친밀형은 배우자 혹은 자녀를 중심으로 연계망이 형성되어 있고, 노인부부가구의 비중이 높다는 공통점을 가지고 있으나, 가족의례형은 상대적으로 여성 비중이 높다는 특징이 있다. 그리고 제한적 다층친밀형은 배우자보다는 자녀와 친구 이웃과의 연계망의 크기, 빈도, 친밀도가 다층형 다음으로 높은 집단으로 여성노인 및 저학력이면서 농림어업에 종사한 비중이 높게 나타났다. 이러한 연구결과에 기초하여 노년기의 사회적 연계망 유형의 다양성이 갖는 학술적 및 정책적 함의와 향후 연구방향을 논의하였다.

• 보건교육건강증진학회지
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• 제29권1호
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• pp.39-57
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• 2012

Objectives: This study was to measure community capacity using individual-level and organizational-level capacity indicators and illuminated the relationship of community capacity and self-rated health status in two regions in Seoul, Korea. Methods: The data from individual surveys were obtained by quota sampling the residents of two autonomous gu in Seoul (N=1,000). The data from organizational surveys were obtained by snowball sampling lists of organizations in the possession of gu offices with a sampling frame (N=153). The survey tools were 6 indicators regarding residents' social capital and a sense of community and 5 indicators regarding community-based organizations and their networks. The analysis methods consisted of the effect of the components of capacity on health status and social network analysis. Results: As for capacity on individual levels, while D-gu was mainly developed inn individual capacity in terms of social interaction, Y-gu was stronger in a sense of community and cohesion among residents. As for capacity on organizational levels, Y-gu was more developed than was D-gu in associational networks. Conclusion: It is necessary to develop health promotion program per community and to strengthen partnerships with and among grassroots organizations based in local communities through the measurement of community capacity.