• Research in Community and Public Health Nursing
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• v.11 no.1
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• pp.80-89
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• 2000

This study was designed to investigate effects on cognitive perception. health promotion activity and life satisfaction of elderly. The participants for this study were 292 in senior citizen's center in S-city. The participants were categorized by two groups. one have taken exercise regularly. at least more than one a week for 6 months, the other have not. The measurement tools were the Perceived Benefit Scale developed by Walker, et al. and translated by Kim. Hee Ja(1994), the Life Satisfaction Index developed by Neugarten. etc. and translated by Lee. Ga Ok(1994) and Self efficacy Scale developed by Kim. Hee Ja (1994). The data were collected by personal interviews. which were taken from January 11 to 16. 1999, and analyzed by SAS 6.12. The major results of this study were as follows 1) Scores of self-efficacy were higher regular exercise group than irregular group. 2) Regular exercise group have taken exercise such as jogging, climbing and the other hands irregular group have not. 3) When the participants were categorized by smoking, other health promotion behavior (weight control. diet), both scores of life satisfaction index were higher smoking group than non-smoking group, other health promotion behavior than non-health promotion behavior. 4) There was no significant difference between the two groups in terms of perceived benefit, life satisfaction, From these findings, regular exercise program will be able to provide elderly with opportunity to change positively their lives in cognitive perception. health promotion activity.

• Health Policy and Management
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• v.18 no.1
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• pp.1-20
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• 2008

How health care providers compete and how competition among them affects their behavior are crucial questions in theory and health policy. In ordinary markets, competition improves social welfare, However in health care markets facing uncertainty and information asymmetry, competition can take the form of wasteful quality competition and result in cost increase. The purpose of this study is to examine the characteristics of hospital service markets and examine the impact of hospital competition on hospital behavior, more specifically hospital cost and the size of personnel. Based on patient discharge data of 2002 by the Ministry of Health and Welfare and Korea Institute for Health and Social Affairs, and health insurance EDI claims data of 2002, this study measures the degree of competition in the inpatient service market of hospitals, using variable radius method and Herfindahl index. The result of the study shows that the hospital service market consists of on average 3.13 government administrative units(shi, gun, or gu). Compared with hospitals, general or general specialized hospitals cover larger markets and operate in more competitive markets. Nearly 60% of patients use hospitals, which are not located in their government administrative units, meaning that market definition based on variable radius is better than the conventional method of market definition based on government administrative units. The results of multivariate analysis show that competition is not associated with high cost index of hospitals. But hospitals in more competitive markets employ larger(more intensive) input of personnel per 100 beds, implying that hospital competition in Korea can have the form of quality and cost-increasing competition.

• Journal of Korean society of Dental Hygiene
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• v.18 no.6
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• pp.979-986
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• 2018

Objectives: The purpose of this study was to investigate the relationship between socioeconomic status and periodontal disease. Methods: The data used for the analysis were obtained from the sixth Korean National Health and Nutrition Examination Survey (2015). A total of 5,632 adults, aged over 19 years, were included in the study. This study analyzed data relating to socioeconomic status and health behaviors. The socioeconomic status was defined as an exogenous factor. Periodontal disease was the endogenous variable. Health behavior was a mediating variable. The study hypotheses were tested using Structural Equation Modeling analysis with Mplus 7.0 software. Results: According to the model fit test, the associated root-mean-square error was 0.05 (90% CI: 0.046-0.059); comparative fit index was 0.93; Tucker-Lewis index was 0.88; and standardized root-mean-square residual was 0.03. We found that socioeconomic status had significant effects on health behaviors (${\beta}=0.304$, p<0.001) and periodontal disease (${\beta}=-0.289$, p=0.001). Moreover, health behaviors had significant effects on periodontal diseases (${\beta}=0.143$, p<0.001). The analysis of a possible relationship between socioeconomic status and periodontal disease using path analysis demonstrated health behaviors difficulties, along with direct and indirect effects, further increased the risk of periodontal disease. Conclusions: The findings suggest that future interventions for the prevention of periodontal disease should consider health behavior.

• Child Health Nursing Research
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• v.23 no.1
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• pp.1-9
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• 2017

Purpose: The purpose of this study was to analyze differences in health behaviors among adolescents in order to provide fundamental data to develop an effective body weight control program. Methods: Secondary analysis was done using data from the 9th (2013) Online Survey on Adolescents' Health Behaviors by the Korea Centers for Disease Control and Prevention. The adolescents were divided into low weight, normal weight, overweight, and obesity groups according to body mass index (BMI). Differences in health behaviors were analyzed. Results: Gender, grade, socioeconomic status, perceived-health status, exercise, breakfast, fast food, ramen noodles, snacks, carbonated soft drinks, fruits and vegetables, satisfaction with sleep, stress, smoking, and alcohol consumption were significantly different among the groups. Ingestion of carbonated soft drinks and snacks was significantly higher in the low weight group compared to the normal weight group. Eating fast foods, ramen noodles, and snacks was significantly lower in the overweight and obesity groups compared to the normal weight group. Conclusion: Findings indicate that health behaviors among the groups differ from traditional knowledge about obesity. To develop optimal programs and improve efficacy, prior knowledge should be used to think differently and individualized programs should be based on an understanding health behaviors of adolescents.

• Journal of Korean society of Dental Hygiene
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• v.16 no.6
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• pp.979-991
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• 2016

Objectives: The objective of the study is to investigate the effect of oral health belief and metabolic syndrome on CPITN. Methods: A self-reported questionnaire was completed by 847 adult visitors over 20 years old in Busan from August 1 to December 31, 2011. Except incomplete answers, 776 data were analyzed by t-test, one way ANOVA, and logistic regression analysis using SPSS 20.0 program. The questionnaire comprised general characteristics of the subjects, oral health behavior, and metabolic syndrome related risk factors. Results: There was statistically significant difference of an oral health belief rating between the groups receiving oral health education. Community periodontal index had statistically significant difference depending on smoking and waist circumference. To analyze related factors of community periodontal index, multiple logistic regression analysis was performed. As the final outcome, gender, age, benefit, salience, scaling experience, experience of oral health education, and related factors and metabolic syndrome were shown to impact on significant influence (p<0.05). Conclusions: Thus, To manage the effective oral health, it is necessary to control the factors of metabolic syndrome and oral health.

• Korean Journal of Adult Nursing
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• v.27 no.4
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• pp.428-437
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• 2015

Purpose: The aim of this study was to describe health status and to identify the factors related to health behavior in older adults in South Korea. Methods: A cross-sectional survey was conducted with a convenience sample of 186 older people (mean age =68.2yrs, 65.1% Female) registered at one senior center. Data were collected by self-report questionnaires or through face to face interview. The instruments were the Modified Health Behavior Assessment Scale, Stanford Research Instruments for Chronic Disease, Self-Efficacy, SOF Frailty Index and Quality of life questionnaire. The data were analyzed using t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Results: 58.6% older adults perceived their health status positively. Education level and economic status were significantly related to health behaviors of older adults. Self-rated health, sleep, stress, quality of life, health distress, depression, and frailty were significantly correlated with the health behaviors of older adults. Frailty, education level, and sleep disturbance were the significant factors predicting the health behaviors. Conclusion: The findings from this study suggest that nurses should take into consideration education level of older adults to promote their health behaviors and health promotion program which focuses on maintaining the quality of sleep and preventing frailty.

• Journal of Korean Public Health Nursing
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• v.16 no.2
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• pp.239-253
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• 2002

Health care for women regularly focuses on the reproductive system to the exclusion of other health needs. The lack of research focusing on women's common health issues is a major problem to the enhanced optimal level of women's health. Health care providers have to recognize biological and social differences between men and women. This study was conducted to identify the baseline data and their correlation of health perception, health behavior, and health status of adult women for developing nursing intervention. The study was a descriptive correlational design. A convenient sampling method was used for collecting data from 103 adult women, over 18 years of age, during the period from Sep 1 to Nov 30, 2001. The study's subjects were interviewed using a structured questionnaire. The instruments for this study were the health perception scale modified by Lee(1985) based on the tool developed by Ware(1977) and Jenkins (1966), and the health behavior scale by Ko, Kumja(1987). Health status was measured by the short form Cornell Medical Index(CMI) modified by Nam, Hochang(1965). The data were analyzed SPSS PC+, by frequency, mean, t-test, ANOVA, and Pearson correlation coefficients. Also, the Duncan test was utilized for a post hoc test of ANOVA. The results of this study are as follows: 1. The mean score for health perception was 3.02(S.D=0.39) on a 5 point scale. 2. The mean score for health behavior was 3.08(S.D=0.43) on a 5 point scale. 3. The mean score for health status was 18.54 on 58 items. The mean score for physical symptoms of a subscale of health status was 11.30 on 36 items and the mean score for psychological symptoms was 7.37 on 22 items. 4. The relationship of sociodemographic variables to health perception. health behavior, and health status of women.: 1) There were significant differences in the scores of health perception by disease experience(t=-3.37, p=0.00). 2) There were significant differences in the scores of health behavior by age(F=10.52, p=0.00), height(F=4.73, p=0.01), marital status(t=-5.56, p=0.00), educational background(t=2.90, p=0.00), and drinking or non-drinking(t=2.17, p=0.03). 3) There were significant differences in the scores of health status by educational background(t=2.28, p=0.02) and disease experience(t=2.61, p=0.01). 5. Health perception showed significant positive correlation with health behavior(r=0.39, p=0.00). Health perception showed significant negative correlation with health status(r=-0.44, p=0.00), that is, the more women perceived health, the less she complained about unhealthy symptoms. Health behavior had no significant correlation with health status but showed a positive correlation with psychological symptoms of a subscale of health status(r=-0.19, p=0.05). Many of the leading causes of disease are preventable through changes in health perception and behavior. The need to increase individual awareness of relationships among health perception, health behavior, and health status and to enhance knowledge regarding the long-term effects of positive health behaviors, is an important nursing strategy for women's health promotion.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4989-4995
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• 2013

The purpose of this study was to evaluate oral health status using oral health index in the elderly population and determine methods for improving oral health status. The date collected from 'The fifth korean national health and nutrition examination survey 2010' was analyzed in this study. The subjects included in this study were 712 elderly people, aged 65 years or older and who had completed the oral examination, health questionnaires and nutrition examination. Statistical analysis was done using the SPSS 19.0 for Windows. We determined Frequency analysis and multiple regression analysis. General characteristics and oral health behaviors showed differences in number of teeth associated with as male, the lower age, as dong, the higher education level, the lower smoking, the more use oral health goods, in DMFT associated with the lower age, the lower income level, the higher education level, in FS-T associated with as female, the higher income level, the more use brushing, in T-Health associated with as male, the lower age, as dong, the lower smoking, the more use oral health goods, in CPI associated with as male, the lower age, as dong, the lower smoking, the more use oral health goods. In conclusion, oral health behavior have effect on oral health index, in order to improve the quality of life and promote oral health of the elderly, oral health education system should be organized. Local governments should be supported active and various oral health program for the elderly.

• Korean Journal of Health Education and Promotion
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• v.25 no.4
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• pp.1-11
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• 2008

The purpose of this study was to identify the variables which affect BMI and the relationships among BMI and socio-demographic variables and health-related behaviors among women in Pajoo city. A self-report questionnaire was used covering questions regarding health, eating habits and health related behaviors such as smoking and drinking behavior, exercise, weight management, etc. Test of significance for differences between the groups were performed with $X^2$-test and hierarchial regression. The level of BMI has a positive relationship with age, married status, and weight management among Pajoo citizens in Korea. This study may be utilized in preparation and planning for dementia prevention programs and policies of older people. Also it can be useful for developing and enhancing various health programs and policies and policies when applied appropriately.

• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.113-125
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• 2023

Purpose: The purpose of this study is to develop a model for predicting mental health risk among adolescents based on health behavior information by employing a hybrid machine learning method. Methods: The study analyzed data of 51,850 domestic middle and high school students from 2022 Youth Health Behavior Survey conducted by the Korea Disease Control and Prevention Agency. Firstly, mental health risk levels (stress perception, suicidal thoughts, suicide attempts, suicide plans, experiences of sadness and despair, loneliness, and generalized anxiety disorder) were classified using the k-mean unsupervised learning technique. Secondly, demographic factors (family economic status, gender, age), academic performance, physical health (body mass index, moderate-intensity exercise, subjective health perception, oral health perception), daily life habits (sleep time, wake-up time, smartphone use time, difficulty recovering from fatigue), eating habits (consumption of high-caffeine drinks, sweet drinks, late-night snacks), violence victimization, and deviance (drinking, smoking experience) data were input to develop a random forest model predicting mental health risk, using logistic and XGBoosting. The model and its prediction performance were compared. Results: First, the subjects were classified into two mental health groups using k-mean unsupervised learning, with the high mental health risk group constituting 26.45% of the total sample (13,712 adolescents). This mental health risk group included most of the adolescents who had made suicide plans (95.1%) or attempted suicide (96.7%). Second, the predictive performance of the random forest model for classifying mental health risk groups significantly outperformed that of the reference model (AUC=.94). Predictors of high importance were 'difficulty recovering from daytime fatigue' and 'subjective health perception'. Conclusion: Based on an understanding of adolescent health behavior information, it is possible to predict the mental health risk levels of adolescents and make interventions in advance.