• 한국학교ㆍ지역보건교육학회지
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• 제11권1호
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• pp.93-115
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• 2010

Objectives: This study intends to understand the difference of social support levels and the relationship between social support the health status, college adjustment and academic achievement in the college student. Methods: Data were obtained from self-administered questionnaire of 416 college student. We measured the demographic characteristics, social support (tangible support, appraisal support, belonging support, self-esteem support), health status (36-item short-form health survey(SF-36), center for epidemiologic studies-depression(CES-D), perceived stress scale(PSS)), student adaptation to college questionnaire(SACQ), average grades point. Chi-square test, t-test, ANOVA test, pearson correlation analysis were used for analysis factors relation of the social support of the college students. Results: In considering the degree of social support by the demographic characteristics in the college students, the social support was better for the female college students. In considering the relation between social support and health status, the students who get better social support, were good in health depression and perceived stress status. When they got better social support their college adjustment and academic achievement were good. The result was statistically significant. Conclusions: Social support for students has great influence on health, college adjustment and academic achievement of students. Psychological aspects of students should be included in the strategy of social support for students.

• 보건교육건강증진학회지
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• 제19권2호
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• pp.73-98
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• 2002

This study was carried out to investigate the relationship between social support, social network and health behaviors as surveyed by cross-sectional study in 744 rural people aged above 30 of a community dwelling sample of one county for 6 days of July in 2000. Objectives of this study was in order to establish an effective health promotion. The sample was accrued by face to face interview of direct visiting from clustered sampling method. Interview was conducted by trained medical students with the questionnaire consisted of socio-demographic data, health behavior, social support and social network based on previous literature. The summarized results were as follows: 1. There were significant difference in the level of social support and social network by general characteristic variables except occupation and residency type(p〈0.05). 2. There were significant difference in knowledge about hypertension, smoking status, status of physical exercise, diet patterns by social support and social network in spite of variation of social support and social network subconcept(p〈0.05). And there were significant difference in alcohol drinking status, body weight control and diet pattern according to level of social network(p〈0.05). But smoking status by social support and network results opposite direction(p〈0.05). 3. There were no regular or consistent result in the relationship between social support, social network and health behavior. 4. Major predictors for health behavior on the multiple logistic regression that included general characteristic, social support and social network were age, instrumental social support and worry about health. Significant variables of multiple logistic regression for health behavior that included social support(instrumental and emotional) and social network were instrumental social support and social network. These results suggest that only a instrumental element and social network may be associated with health behavior. Inconsistent with prior research in these some item, a positive consistent relationship was not found between social support, social network and health behavior. So the study should be replicated to determined the reliability of our findings.

• 보건교육건강증진학회지
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• 제23권3호
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• pp.99-119
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• 2006

Objectives: This study intends to understand the difference within group of social support level and the effect of social support to health behaviors and health status of the elderly by selecting the old of local society as target. Methods: Data were obtained from self-administered questionnaire of 8,688 persons, older than 65 years, living in a community. We measured the sociodemographic characteristics, social support(family support, other support, quality of support), physical health state(subjective health status, number of chronic disease), physical function state(activities of daily living; ADL, instrumental activities of daily living; IADL), cognition state(mini-mental state examination-Korean; MMSE-K) and depression state(short form of geriatric depression scale; SGDS), health behaviors(smoking, drinking, exercise, eating habit). Univariate, multinominal logistic regression and covariance structure analysis were employed to analyze factors affecting on the social support of the elderly. Results: When considering the degree of social support by the sociodemographic characteristics of the older adults, the family support, other support and quality of support is better when the old is male, young, high education and self-reported living status is good and it has significance statistically. When considering the relation between social support and health status, the family support, other support and quality of support is better when the old's subjective and objective physical health status is good. The family support, other support and quality of support is better when the old's subjective health status is better. The other support and quality of support is better when the old's ADL(activities of daily living) and IADL(instrumental activities of daily living) are good. The family support, other support and quality of support is better when the old's cognitive function and depression state is better. When considering the relation between social support and health behaviors, in case of smoking and drinking, the quality of support, family support and other support is better when the old smokes and drinks rather than the old does not. In case of exercise and eating habit, the family support, other support and quality of support is better when the old exercises and eats regularly rather than the old does not. It has significance statistically. From the result of performing covariance structure analysis by structural equation modeling(SEM) with two endogenous variable(health behaviors and health status) and one exogenous variable(social support), factor loading of health status is 0.74 and factor loading of health behaviors is 0.05. The social support explains health status of 55.4% and health behaviors of 2.9%. Conclusions: This study has the meaning that it finds the difference of social support generating from inside of the group for the old residing in city and country and specifies the effect that the difference of social support influences to health status and health behaviors. From now on, in the development of health improvement strategy of the olds, it is necessary to approach from inclusive aspect while considering psychosocial factor such as social support and social economical factor as well as health status.

• 한국학교ㆍ지역보건교육학회지
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• 제21권2호
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• pp.1-14
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• 2020

Objectives: The purpose of this study was to identify factors(perceived health and social support) affecting social capital formation of the elderly. Methods: Samples consisted of 184 people aged over 65 years old in one county of Kyungsangbukdo. Data were analyzed with t-test, ANOVA and regression analysis. Results: First, social support(both emotional support and instrumental support) were significantly different by economic status. Secondly, regression analysis showed that perceived health affected a positive influence on social capital in Model1, which analyzed only perceived health. However, Model2, which analyzed perceived health and social support(emotional support, instrumental support) at the same time, showed that only instrumental support affected social capital formation. Conclusions: It was suggested to develop customized health promotion and job creation are required for social capital formation of the elderly.

• 보건행정학회지
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• 제32권2호
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• pp.180-189
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• 2022

Background: Social support contributes directly and indirectly to maintaining physical, mental, and social well-being. The aim of the study was to identify the impact of social support on self-rated health among Korean industrial accident workers. Methods: This study used data from the panel study of workers' compensation insurance (PSWCI). The final subjects were 2,759 workers who responded to a 2018 to 2020 PSWCI. Social support was defined as social contact with friends, neighbors, family, and social participation activities like religious activity, social activity, and club activity. Multivariate logistic regression analysis was performed to investigate causal relationships between social support and self-rated health using a generalized estimating equation model. Results: Proportion of workers' good self-rated health steadily increased (2018: n=1,447, 63.2%; 2019: n=1,542, 66.2%; 2020: n=1,653, 67.3%). Higher levels of social contacts with friend (worse: reference; same: β=0.442) and higher levels of social activity (yes: reference; no: β=-0.173) were especially associated with good self-rated health. Conclusion: This study confirmed social support positively influenced self-rated health among the self-rated health of industrial injured workers. The results of this study suggested that recovery policies that the government served should include programs enhancing social support for improving health among industrial injured workers.

• 여성건강간호학회지
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• 제13권2호
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• pp.123-130
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• 2007

Purpose: The purposes of this study were to examine the level of social support, health promoting behaviors and depression among unmarried pregnant women and to identify the relationship between social support, health promoting behaviors and depression. Method: A descriptive correlational study was conducted. The participants were 102 unmarried pregnant women receiving shelter services from four facilities in two metropolitan cities. Data was collected using a self-administered questionnaire. Descriptive statistics, ANOVA and Pearson correlation were used for data analysis. Results: The level of social support and health promoting behaviors were relatively lower and the level of depression was relatively higher than those of married pregnant women. The participants received especially low social support from their unmarried partner. There was a positive relationship between social support and health promoting behaviors. Moreover, there were negative relationships between social support and depression and between health promoting behaviors and depression. Conclusions: To promote physical and emotional health of unmarried pregnant women, more attention is necessary to increase their social support. A nursing intervention program to increase social support among unmarried pregnant women in needed.

• 대한통합의학회지
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• 제8권4호
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• pp.231-239
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• 2020

Purpose: The purpose of this study is to identify the relationship of between social support, emotional intelligence, depression, and health promotion behaviors of nursing college students, and to establish basic data for the development of a nursing intervention program for health promotion behaviors. Methods: This descriptive correlation study examined the correlation between the social support, emotional intelligence, depression, and health promotion behaviors of nursing students. 203 nursing college students located in J city participated in the study from November to December 2019. The collected data was analyzed used the SPSS WIN 22.0 program. The general characteristics of the subjects were analyzed by frequency and percentage, and health promoting behavior, social support, emotional intelligence, and depression were analyzed using mean and standard deviation. In this study, the correlation between the subjects' social support, emotional intelligence, depression, and health promotion behaviors was analyzed using Pearson correlation coefficient. Results: The study results showed that the subjects' health promotion behaviors averaged 2.22±0.38 points out of 4d social support averaged 3.83±0.59 points out of 5, emotional intelligence averaged 4.53±0.73 out of 7, and depression averaged 0.49±0.42 points out of 2 points. The analysis results of correlation between the subject's health promotion behaviors, social support, emotional intelligence, and depression showed that health promotion behaviors and social support (r=.287, p<.001), health promotion behaviors and emotional intelligence (r=.450, p<.001), and social support and emotional intelligence (r=.450, p<.001) had a positive correlation, but depression and health promotion behaviors (r=-.453, p<.001), depression and social support (r=-.259, p<.001), and depression and emotional intelligence (r=-.322, p<.001) had a negative correlation. Conclusion: This study will provide the basic data for a follow-up researches on the social support, emotional intelligence, depression and health promotion behaviors of nursing college students. It is expected to serve as the basic data for developing nursing intervention programs for health promotion behaviors in the future.

• Child Health Nursing Research
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• 제7권2호
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• pp.203-212
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• 2001

The subjects were 349 high school boys and girls who were 10th and 11th graders in Seoul, Korea. Statistical analysis included percentages, means, Pearson correlation coefficient, ANOVA, t-test, and stepwise multiple regression analysis. As a result, there were positive correlations between social support, stress reduction and increases in health behavior. Stepwise multiple regression analysis of social support, stress, and adolescents health behavior showed that social support explained 26.3％ of the variance in health behavior, The more social support subjects experienced more health behavior level and the less the correlated stress level. In the area of demographic attributes, gender, height, weight, grade level, socioeconomic level of the parents, and stress were significantly correlated, grade levels, religion, socioeconomic level of parents and social support. sibling order, religion, socioeconomic level of the parents, parents education, occupation of father. and health behavior were statistically significant The findings indicated stress was a negative factor in health behavior, and social support was a positive factor in reducing stress and promoting health behavior. To reduce adolescents stress and to promote health behavior, we should endeavor to develop realistic social support programs.

• 한국보건간호학회지
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• 제24권2호
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• pp.197-210
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• 2010

Purpose: The study investigated the relationships among perceived stress, mental health, and social support in community residents. Method: A self-reporting questionnaire was completed by 302 community residents aged 19-64-years-of-age from October 7 to November 30, 2008. Assessment tools were an The established perceived stress scale, standardized mental health scale, and established social support scale. The data was analyzed by descriptive statistics, t-test, one-way ANOVA, Scheffe's test, and Pearson's correlation coefficient using the SPSS WIN 12.0 program. Result: Significantly negative correlations were evident between perceived stress and social support, and between social support and mental health. But, there was a significantly positive correlation between perceived stress and mental health. Conclusion: It is necessary to develop a strategy to decrease perceived stress, improve mental health, and increase social support for community residents.

• 보건행정학회지
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• 제21권4호
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• pp.493-510
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• 2011

Objectives : This study aims to explore how social support and social network are related with health behavior. Methods : The target population was 12,449 people in Chungcheongbuk-do. The sample was accrued for the period of 3 months in 2008 by face to face interview of direct visiting from systematic sampling method. The instruments used in this study were social support, social network and health behavior. Results : There was significant difference in the level of social support and social network by sex, age, educational level, occupation, and monthly income(p<0.05). There was significant difference in the level of social support by alcohol drinking, physical exercise. There was significant difference in the level of social network by smoking, alcohol drinking, physical exercise, obesity(p<0.05). Multivarite analysis shows significant difference in the level of social instrumental support by smoking, physical exercise. It shows significant difference in the level of social emotional support by smoking. It also shows significant difference in the level of social network by smoking, physical exercise. Conclusion : These results suggest that social support and social network may be associated with health behavior. Because this study was cross sectional research, the order was not found between social support, social network and health behavior. Through a study on monitoring, we will obtain more information for relationship.