• Journal of Korean society of Dental Hygiene
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• v.24 no.1
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• pp.17-26
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• 2024

Objectives: This study aimed to analyze the relationship between the socioeconomic status and oral health of adults. Methods: Data from the 7th Korea National Health and Nutrition Examination Survey (2016-2018) were analyzed, and 13,199 adults aged 19 years or older were selected as study subjects. Various oral health indicators were used to analyze the effect of socioeconomic status on oral health. Disparities in oral health according to socioeconomic status were analyzed using the complex sample chi-squared test and multiple logistic regression analysis. Results: A statistically significant difference was observed between income level, medical aid, and all oral health indicators, which indicated that the lower the income level, the lower the oral health level (p<0.001). Furthermore, all oral health indicators displayed statistically significant differences, with the exception of the prevalence of dental caries and education level. The lower the education level, the lower the oral health level (p<0.001). Therefore, the oral health level of adults presented significant differences according to different socioeconomic status indicators. Conclusions: To prevent oral health inequalities, the government and local governments need to intervene not only in the field of health care but also in the social determinants. Additionally, concerted efforts should be made to eliminate oral health disparities by improving policies and systems.

• The Korean Journal of Health Service Management
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• v.9 no.4
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• pp.183-196
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• 2015

Objectives : The purpose of this study was to analyze the factors affecting the level of subjective health recovery among injured workers. The aim in this study was to find an efficient worker's compensation service for subjective health recovery among injured workers. Methods : From the 1st panel study of worker's compensation insurance, data for 2,000 injured workers was analyzed with SPSS 22.0 and AMOS 22.0. Results : There was a statistically significant difference in the level of self-perceived health recovery depending on socio-demographic characteristics, disability characteristics and medical care services. Factors such as gender, education level, socio-economic level, disability level, claim duration, and treatment duration appropriacy affected the level of self-perceived health recovery. Conclusions : Worker's compensation services should take into consideration the factors that affect the health recovery of injured workers.

• Journal of Preventive Medicine and Public Health
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• v.53 no.3
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• pp.189-197
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• 2020

Objectives: Our aim was to answer the following questions: (1) Can mental health variance be partitioned to individual and higher levels (e.g., neighborhood and district); (2) How much (as a percentage) do individual-level determinants explain the variability of mental health at the individual-level; and (3) How much do determinants at the neighborhood- or district-level explain the variability of mental health at the neighborhood- or district-level? Methods: We used raw data from the second round of the Urban Health Equity Assessment and Response Tool in Tehran (in 2012-2013, n=34 700 samples nested in 368 neighborhoods nested in 22 districts) and the results of the official report of Tehran's Center of Studies and Planning (in 2012-2013, n=22 districts). Multilevel linear regression models were used to answer the study questions. Results: Approximately 40% of Tehran residents provided responses suggestive of having mental health disorders (30-52%). According to estimates of residual variance, 7% of mental health variance was determined to be at the neighborhood-level and 93% at the individual-level. Approximately 21% of mental health variance at the individual-level and 49% of the remaining mental health variance at the neighborhood-level were determined by determinants at the individual-level and neighborhood-level, respectively. Conclusions: If we want to make the most effective decisions about the determinants of mental health, in addition to considering the therapeutic perspective, we should have a systemic or contextual view of the determinants of mental health.

• Journal of Korean Academy of Nursing
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• v.27 no.2
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• pp.341-352
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• 1997

The study was to examine the relationships among health promoting lifestyle, level of anxiety, and perceived health status and to reveal those variables. affecting health promoting lifestyle in Korean immigrants in the United States. The subjects were 425 adults chosen from Korean religious and social organizations located in New York from April 25th through July 5th. 1996. Data analyses were conducted by using Pearson correlation coefficients, t-test, ANOVA, and stepwise multiple regression. The results were as follows : Health promoting lifestyle was significantly different according to age, religion. occupation, and the length of residence in the US. Those insured and those with no chronic conditions revealed a significantly higher score in health promoting lifestyle. Significant differences in the level of anxiety were found according to education, marital status, occupation, family income, and the length of residence. Those with no chronic conditions experienced a significantly lower level of anxiety. In the subscales of the health promoting lifestyle profile, self-actualization and interpersonal relationship revealed higher scores, whereas the scores of stress management, health responsibility, and exercise were lower. Those subjects whose perceived health status was very good, showed the lowest level of anxiety and the highest score on the health promoting lifestyle profile. Negative correlations were observed between the health promoting lifestyle profile and the level of anxiety, and between the perceived health status and the level of anxiety. Health promoting lifestyle was significantly predicted by the level of anxiety(22.0%), age(2.0%), health insurance(1.1%), respectively.

• Korean Journal of Health Education and Promotion
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• v.2 no.1
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• pp.3-50
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• 1984

The levels of health knowledge, attitude and practice of housewives considerably effect to the health of households, communities and the nation. This study was designed to grasp the levels of health knowledge, attitude and practice of houswives and analyse the various factors effecting to health in order to provide health education services as well as materials for effective formulation and implementation of health policy to improve the health of the nation. This study has been conducted through interviews by trained surveyers for 4,281 housewives selected from 4,500 households throughout the country for 40 days during July 11-August 20, 1983. The results of survey were analysed by stepwise multiple regression and path analysis are summarized as follows; 1. Based on the measurement instrument applied to this study, the levels of health knowledge, attitude and practice of housewives were extremely low with 54.5 points out of 100 points in full. Higher level with 72 points and above was approximately 21 percent and lower level with 39 points and below was approx. 24 percent. The middle level was approx. 55 percent. In order to implement health programs successively, health education should be more strengthened and to improve the level of health knowledge, attitude and practice (KAP) of the nation, political consideration as a part of spiritual reformation must be concentrated on health. 2. The level of health knowledge indicated the highest points with 57.3 the level of attitude was the second with 55.0 points and the practice level was the lowest with 50.0 point. Therefore, planning and implementation of health education program must be based on the persuasion and motivation that health knowledge turn into practice. 3. Housewives who had higher level of health knowledge, showed their practice level was relatively lower and those who had middle or low level of it practice level was the reverse. 4. Correlations among health knowledge, attitude and practice (KAP) were generally higher and statistically significant at 0.1 percent level. Correlation between total health KAP level and health knowledge was the highest with r=.8092. 5. Health KAP levels showed significant differences according to the age, number of children, marital status, self-assessed health status and concern on health of the housewives interviewed (p<0.001) 6. Health KAP levels also showed significant differences according to the education level, economic status, employment before marriage and grown-up area of the housewives interviewed. (p<0.001) 7. Heath KAP levels showed significant differences according to health insurance benificiary and the existence of patients in the family. (p<0.001). 8. Health KAP levels showed significant differences according to distance to government organizations, schools, distance to health facilities, telephone possession rate, television possession rate, newspaper reading rate and activities of Ban meeting and Women's club. (p<0.001) 9. Health KAP levels showed significant differences according to electric mass communication media such as television, radio and village broadcasting etc. and printed media such as newspaper, magazine and booklets etc., IEC variables such as individual consultation and husband-wife communication, however, there was no significance with group training. 10. Health KAP of the housewives showed close correlation with personal characteristics variables, i.e., education level (r=.5302), age (r=-.3694) grown-up area (r=.3357) and employment before marriage. In general, correlation of health knowledge level was higher than the levels of attitude or practice. In case of health concern and health insurance, correlation of practice level was higher than health knowledge level. 11. Health KAP levels showed higher correlation with community environmental characteristics, Ban meeting and activity of Women's club, however, no correlation with New-village movement. 12. Among IEC variables, husband-wife communication showed the highest correlation with health KAP levels and printed media, electric mas communication media and health consultation in order. Therefore, encouragement of husband-wife communication and development of training program for men should be included in health education program. 13. Mass media such as electric mass com. and printed media were effective for knowledge transmission and husband-wife communication and individual consultation were effective for health practice. Group training was significant for knowledge transmission, however, but not significant for attitude formation or turning to health practice. To improve health KAP levels, health knowledge should be transmitted via mass media and health consultation with health professionals and field health workers should be strengthened. 14. Correlation of health KAP levels showed that knowledge level was generally higher than that of practice and recognized that knowledge was not linked with attitude or practice. 15. The twenty-five variables effecting health KAP levels of housewives had 41 per cent explanation variances among which education level had great contribution (β=.2309) and electric mass com. media (β=.1778), husband-wife communication (β=.1482), printed media, grown-up area, and distance to government organizations in order. Variances explained (R²) of health KAP were 31%, 15%, and 30% respectively. 16. Principal variables contributed to health KAP were education level (β=.12320, β=.1465), electric mass comm. media (β=.1762, β=.1839), printed media, (β=.1383, β=.1420) husband-wife communication (β=.1004, β=.1067), grown-up area and distance to government organizations, in order. Since education level contributes greatly to health KAP of the housewives, health education including curriculum development in primary, middle and high schools must be emphasized and health science must be selected as one of the basic liberal arts subject in universities. 17. Variences explained of IEC variables to health KAP were 19% in total, 14% in knowledge, 9% in attitude, and 10% in health practice. Contributions of IEC variables to health KAP levels were printed media (β=.3882), electric mass comm media (β=.3165), husb-band wife com. (β=.2095,) and consultation on health (β=.0841) in order, however, group training showed negative effect (β=-.0402). National fund must be invested for the development of Health Program through mass media such as TV and radio etc. and for printed materials such as newspaper, magazines, phamplet etc. needed for transmission of health knowledge. 18. Variables contributed to health KAP levels through IEC variables with indirect effects were education level (Ind E=0.0410), health concern (Ind E=.0161), newspaper reading rate (Ind E=.0137), TV possession rate and activity of Ban meeting in order, however, health facility showed negative effect (Ind E=-.0232) and other variables showed direct effect but not indirect effect. 19. Among the variables effecting health KAP level, education level showed the highest in total effect (TE=.2693) then IEC (TE=.1972), grown-up city (TE=.1237), newspaper reading rate (TE=.1020), distance to government organization (TE=.095) in order. 20. Variables indicating indirect effects to health KAP levels were; at knowledge level with R²=30%, education level (Ind E=.0344), newspaper reading rate (Ind E=.0112), TV possession rate (Ind E=.0689), activity of Ban meeting (Ind E=.0079) in order and at attitude level with R²=13%, education level (Ind E=. 0338), activity of Ban meeting (Ind E=.0079), and at practice level with R²=29%. education level (Ind E=.0268), health facility (Ind E=.0830) and concern on health (Ind E=.0105). 21. Total effect to health KAP levels and IEC by variable characteristics, personal characteristics variables indicated larger than community characteristics variables. 22. Multiple Correlation Coefficient (MCC) expressed by the Personal Characteristic Variable was .5049 and explained approximately 25% of variances. MCC expressed by total Community environment variable was .4283 and explained approx. 18% of variances. MCC expressed by IEC Variables was .4380 and explained approx. 19% of variances. The most important variable effected to health KAP levels was personal characteristic and then IEC variable, Community Environment variable in order. When the IEC effected with personal characteristic or community characteristic, the MCC or the variances were relatively higher than effecting alone. Therefore it was identified that the IEC was one of the important intermediate variable.

• Journal of Korean Academy of Nursing
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• v.18 no.2
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• pp.118-127
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• 1988

This descriptive-correlational study was undertaken in order to examine if there was relationship between health locus of control and health behavior of 122 residents in Choong Nam Province. The sampling method was non-probability, conventent sampling technique. Questionnaire survey was conducted from March 2 to March 11, 1988. Each participant completed the Multidimensional Health Locus of control(MHLC) scale (Wallsten & Wallston, 1978) and Health Behavior scale (developed by Dr. cho) The collected data were analyzed using Peason Correlation coefficient, t-test and Analusis of Variance. The results were as follows : 1. Hypothesis 1, stating that the higer the score of internal health locus of control, the higher the Score of level of actual implementation of health behavior was supported(r＝.1344, p＜.05). 2. Hypothesis 2, stating that the higher the score of chance health locus of control, the lower the score of level of actual implementation of health behavior was not supported (r＝-.1344, p＞.05). 3. Hypothesis 3, stating that the higher the score of internal health locus of control, the higher the score of the level of perceived importance of health behavior was supported (r＝.3373, p＜.001). 4. Hypothesis 4, stating that the higher the score of chance health locus of control, the lower the score of level of perceived importance of health behavior was not supported (r＝-.0810, p＞.05). 5. The mean score of internal was 23.36, powerful others was 19.04 and chance 15.36 out of maximum range of 6-30 respectively. The mean score of level of actual implementation of health behavior was 112.84 and level of perceived importance of health behavior 143.60 our of maximum range of 32-160 respectively. 6. The variances which were related with the level of actual implementation of health behavior, were education level, occupation, economic status, referred method of primary health, management and resicent's place. And the variance which were related with the level of perceived importance of health behavior were sex, economic status and occupation.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.167-174
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• 2019

It is a descriptive study for the relationship between appearance management behaviors and mental health of some female college students. We analyzes 433 self-administered questionnaires from March to June 2017 for female students who enrolled in three-year colleges in Seoul and Gyeonggi province, South Korea. The conclusion is as follows. We used IBM SPSS Statistics 22.0(SPSS Inc., Chicago, IL, USA) for the analysis by person's characteristics, t-test and one way ANOVA, multiple regression analyses. The second-year grade shows higher points than the first-year grade in appearance management behaviors and mental health level(p<0.001, p<0.05). In addition, when students has the higher level of the household as the humanities students, they have higher level of mental health level(p<0.001). The most influential factors affecting the mental health level of female college students are domestic economic level and cosmetic management behavioral factors. The level of mental health was higher in the middle and upper group of the domestic economic level. When they do more cosmetic management behavior, they have lower the mental health level. In conclusion, it is deemed necessary for students to attend intensive and sufficient counseling with an academic advisor. The continuous attention through school counseling management services depending on grade, domestic economy level, and cosmetic management behavior is necessary in order to enhance the level of mental health for female students. In addition to that, the college needs to develop individual customized psychology counseling and educational programs through U-mental healthcare service in order to lessen the great pressure of sensitive information and provide mental consultation. The college needs to consider students' characteristics and needs from the results of this study. It is considered that a smart mental healthcare program will be needed to identify mental health of the individual through the systematic approach.

• The Journal of Korean Society for School & Community Health Education
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• v.18 no.3
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• pp.17-28
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• 2017

Ojectives: This study performed to analyze health promotion factors related to subjective stress level among first-year students of university. Methods: To examine the association with subjective stress level and health promotion factors, health survey was conducted with 3,892 students who were first-year students in an university by self-reported questionnaire from February 26 to March 10, 2015 in an university. Multiple regression analysis performed to identify the difference of health promotion factors by subjective stress level. Results: 1,015 students (26.1%) were on high stress level and 2,110 students (54.2%) were in healthy status. The 10.8% of them was obesity group and the 40% was alcohol use disorder group. The 8.2% had experienced depression in the last 1 year. In multiple regression models, it remained significantly the difference of subjective stress level by sex, subjective health status, sleep hours in a day, eating frequency of fruit and vegetable in a day, depression experience and suicidal thought in the last 1 year(p<0.05, p<0.01). On the other hand, it was not significant the difference by age, BMI, alcohol use disorder, eating breakfast, regular exercise and current smoking. Conclusions: To improve health promotion of first-year students of university, it should provide the intensive mental health program to women on campuses.

• The Journal of Korean Academic Society of Nursing Education
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• v.6 no.1
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• pp.48-63
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• 2000

This study was designed and undertaken to find out the degree of powerlessness, perception of health and cognitive level of elderly home residents and to determine the factors influencing powerlessness, perception of health and cognitive level. The data were collected from October 1st to 20th, 1998. The subjects in this study were 271 elderly home residents over the age 60 living in Taejon city. The study tool for measuring powerlessness was developed by S.E. Chung(1998), the other for measuring perception of health was a self-rating scale defined by Mossey & Shapiro (1982), and the tool for measuring cognitive level was developed by Kahn, Goldfarb, Pollack and Peck(1960). Data were analysed for percentage, mean, t-test, and ANOVA using the SPSS program. The results of this study were as follows ; 1. The degree of powerlessness, perception of health and cognitive level was scored above the median. 2. The degree of the elderly' powerlessness was statistically significantly different in three demographic variables; sex, one's state of health compared to other elderly' and living expense load. 3. Perception of one's health was statistically significantly different in four demographic variables; sex, marital status, educational level and monthly money. 4. Cognitive level of the elderly was statistically significantly different in three demographic variables; age, educational level and one's health of state compared to other elderly' health. In conclusion, the factors influencing the elderly' powerlessness, perception of health and cognitive level generally were age, sex, their economic independence, marital status, and educational level. Also, this study indicates that social welfare for the elderly could be effective in reducing their powerlessness and enhancing their health of state and cognitive level.

• Research in Community and Public Health Nursing
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• v.12 no.1
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• pp.39-48
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• 2001

In order to confirm the level of professional commitment and organizational commitment of the home health care nurses and the public health nurses, this study was carried out by using the Commitment Inventory developed by Meyer and Allen and modified by Rhee and others. To compare the commitment level between two professionals, data was collected through self-administered questionnaires from the 61 home health care nurses and the 134 public health nurses working in 25 public health centers in Seoul. The results are as follows: 1. Commitment level of' the Home Health Care Nurses ($4.7{\pm}0.7$) was significantly higher than that of the Public Health Nurses($4.4{\pm}0.7$). The level. of the professional commitment of the home health care nurses($5.0{\pm}0.9$) was higher than that of the Public Health Nurses($4.5{\pm}0.8$). The level of the organizational commitment of the of Home Health Care Nurses($4.5{\pm}0.7$) was higher than that of the public health nurses($4.3{\pm}0.6$). 2. The higher of affective professional commitment was shown in the home health care nurses, and the higher level of continuance professional commitment was shown in the public health nurses. The higher levels of normative professional commitment and affective organizational commitment were shown in the Home Health Care Nurses, and the higher level of continuance organizational commitment was shown in the home health care nurses. The higher level of normative organizational commitment was shown in the home health care nurses. 3. The level of professional commitment was statistically different in age and educational level. The level of affective professional commitment of the of home health nurses with higher-educated was higher than that of the lower-educated group. The level of organizational commitment of the Home Health Nurses in higher age was higher than that in lower age.