• Health Policy and Management
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• v.21 no.4
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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.

• Korean Journal of Health Education and Promotion
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• v.23 no.3
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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.

• Health Policy and Management
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• v.22 no.4
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• pp.497-521
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• 2012

Objectives This study aimed to investigate the effect of social capital, health risk behavior and health status on medical care utilization by the elderly. The data and Research method Data were obtained from the 4th wave survey of the Korea Welfare Panel Study. 4,087 household members aged 65 years and over were subject to analysis. Descriptive statistics are used to describe the basic features of the data in a study. we performed a structural equation modeling(SEM) analysis to evaluate the effect of social capital and mediating effect of health risk behavior and health status. Results Results showed that factors related to medical care utilization of the elderly were different depending on types of service (inpatient and outpatient service) except health status. Age, higher social capital, more health-risk behavior and poorer health status were associated with increased use of inpatient service. Social capital was found to have a positive direct effect on it. Also, social capital had an indirect effect on reducing use of inpatient services by improving health status. On the other hand, lower age and higher household income tended to increase use of outpatient service, while higher social capital and higher health status were inversely related. Social capital had a direct effect and an indirect effect on reducing use of outpatient service and, at that time, health status played a mediating role. Conclusions Social capital may contribute to improve health status and indirectly reduce medical care utilization of the elderly by enhancing their health status. These results provide evidence that more policy and strategy considerations should be needed for the elderly to strengthen their social capital in order to enhance their levels of health and more efficient utilization of medical care.

• Journal of the Korean Society of School Health
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• v.28 no.3
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• pp.248-255
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• 2015

Purpose: This study was conducted to explore the relationship between high school students' mental social health and their tendency toward social networking addiction. Methods: The subjects were 543 high school boys and girls living in D city. The data were collected from the 3rd to 21st of March in 2014. Data were analyzed using t-test, ANOVA, Duncan's post-hoc test, Pearson's correlation analysis, and hierarchical regression with SPSS/ Win 21.0. Results: Social networking addiction showed significant differences depending on gender (t=-7.03, p<.001), academic achievement (t=4.571, p=.011), and the level of maternal education (t=3.344, p=.019). Social health was correlated with the tendency toward social networking addiction. Multiple regression analysis found that gender, academic achievement and social health were associated with the level of social networking addiction (F=8.750, p<.001, Adj. $R^2=.201$). Conclusion: The results suggest that it is necessary to take into account gender characteristics, academic achievement and social health in order to develop effective management programs for social networking addiction among high school students.

• Korean Journal of Health Education and Promotion
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• v.10 no.1
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• pp.21-33
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• 1993

Human health is affected by physical, social, cultural, economic, and political environment. To improve health status, of the people we need much support from social system and to make social supporting system effective for health promotion, we need health information. Because, the health information is basic to the social supporting system for health promotion. So, we should construct health information systems as follows : 1. Health information system for children 2. Health information system for families 3. Health information system for adolescents 4. Health information system for mothers 5. Health information system for workers 6. Health information system for physical handicapped 7. Health information system for elders

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.4
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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.

• The Korean Journal of Emergency Medical Services
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• v.2 no.1
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• pp.36-46
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• 1998

The study was conducted to investigate the health promoting behavior, self-esteem and social support of college students. The subjects were 170 college students(health related department and non health related department) of college in K, C, U city. The instruments used for this study were a survey of general characteristics(9 items), health promoting behavior(47 items), self-esteem(10 items), social support(25 items). Analysis of data was done by use of mean, percentage, t-test, ANOVA, Pearson correlation coefficient and stepwise regression with SAS program. The results of this study are as follows ; 1. Health promoting behavior were showed significant difference in two groups. 2. Health promoting behavior of two groups according to general characteristics were showed significnant difference in religon, personality, exercise, health food choice of A group and perceived health status, personality, exercise, health food choice of B group. 3. Significant correlation between exercise and health promoting behavior, self-esteem and social support, social support and health promting behavior in A group and between perceived health status and exercise, perceived health status and social support, perceived health status and health promoting behavior, self-steem and social support, exercise and health promoting behavior, self-esteem and health promoting behavior, social support and health promoting behavior in B group was found. 4. Significant correlations were found between most of the subscales of total health promoting behavior. 5. Predicting factor of health promoting behavior were social support and exercise in A group(51.74%) and social support, exercise and self-esteem in B group(41.18%).

• Journal of Preventive Medicine and Public Health
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• v.33 no.4
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• pp.469-476
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• 2000

Objectives : To analyze differences in health behaviors among the social strata in Korea by using the 1995 National Health and Health Behavior Survey Data. Methods : Study Participants numbered 2,352 men and 1,016 women aged between 15-64 years old, with housewives, students and non-waged family workers excluded. Health behaviors in this study were defined according to the recommendations of the Alameda 7 study. The measure of health behaviors was based on the Health Practices Index(HPI; 0-5 range, with the exclusion of snacking between meals and regularly eating breakfast) developed by the Alameda County research. The significance of the relationship between social strata and HPI was assessed by considering the adjusted means from the multi-variate model. Results : For men, incidence rates of never having smoked, no/moderate use of alcohol, regular exercise, and regular 7-8 hours sleep per night were higher in the upper social strate. Meanwhile, for women, incidence rates of never having smoked, no/moderate use of alcohol, appropriate weight, regular exercise, and regular 7-8 hours sleep per night were higher in the upper strata. HPI varied significantly among social strata in both sexes (p<0.001), a result which held true when adjusted for age, education, income, social insurance type, marital status and region. Conclusions : Health behaviors assessed by Health Practices Index(HPI) varied significantly among social strata for both sexes. Therefore, the existing gap in health behaviors among social strata can be corrected more effectively by target oriented health promotional activities.

• Journal of Preventive Medicine and Public Health
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• v.35 no.1
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• pp.57-64
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• 2002

Objective : To explore the relationship of social class and health behaviors with self-reported morbidity. Methods : The 1995 General Household Survey in Korea was used to investigate self-reported morbidity. Logistic regression was used to examine the relationship of social class and health behaviors with self-reported chronic disease and perceived general health. Results : For chronic disease and general perceived health, age adjusted odds ratios were higher for manual workers, lower-educated group as well as those in the lower income group; this held true for both men and women. Health behaviours had little effect or the relationship between social class and morbidity. The relationship between health behaviors and morbidity was very weak. The lower social class expressed higher levels of negative health behaviors, although this relationship appeared to be very weak in Korea. Conclusions : This study suggests that an understanding of health differentials that addresses the issue of social inequalities in Korea is required.

• Journal of Preventive Medicine and Public Health
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• v.40 no.6
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• pp.419-421
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• 2007

Objectives : The aim of this study was to introduce the concept of health inequalities, and to discuss the underlying assumptions and ethical backgrounds associated with the issue, as well as the theoretical and practical implications of health inequalities. Methods : Based on a review of the literature, we summarize the concepts of health inequalities and inequities and discuss the underlying assumptions and ethical backgrounds associated with these issues from the view of social justice theory. We then discuss the theoretical and practical implications of health inequalities. Results : Health inequality involves ethical considerations, such as judgments on fairness, and it could provide a sensitive barometer to reflect the fairness of social arrangements. Discussion on health inequalities could deepen our understanding of the social etiology of health and provide a basis for the development of comprehensive and integrative social policies. Conclusions : Health equity is not a social goal in and of itself, but should be considered as a part of a broader effort to seek social justice.