• Journal of Society of Preventive Korean Medicine
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• v.6 no.2
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• pp.19-35
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• 2002

To know the differences between health concern, health behavior, and subjective health cognition in urban and rural area, author used the correlation analysis between variables and wanted to provide basic data for public health service to support appropriate health care, health maintenance, and health promotion in community. Data collection were done in JeonBuk area from September 10 to October 10, 2001, and subjects were above 20 years old adult. 350 and 250 subjects were from urban and rural area by random sampling, respectively. Questionnaire were completed by interview with direct or self-recording type. Research tool was questionnaire with health concern, health behavior, and subjective health cognition, and data collected were analyzed into descriptives, crosstabs, T-test, ANOVA, Pearson correlation coefficient by SPSS 10.0 program. The results were as follows: 1. Health concern was 9.0% for upper group, 39.1% for middle group, 51.9% for lower group in urban area, and 10.1% for upper group, 41.0% for middle group, 48.8% for lower group in rural area. Health concern for middle and lower group was totally high percentage, and rural area had higher health concern than urban area. 2. Health behavior in both urban and rural area was statistically significant(p<0.01). Women who had higher age and with spouse had high degree of health behavior, and urban area had totally high score for health behavior compared to rural area. 3. Subjective health cognition was 71.0% for health, 29.0% for non-health in urban area, and 61.3% for health, 38.7% for non-health in rural area. Percentage of health group was higher in urban area than in rural area. 4. Degree of health behavior by health concern was statistically significant only in rural area. That is to say, the higher health concern had the higher degree of health behavior in rural area. Subjective health cognition by health behavior was totally significant correlation with health behavior in urban and rural area(p〈0.05). That is to say, the higher health behavior in urban and rural area had the higher subjective health cognition. 5. For correlations between 3 variables, there was significant correlation between health behavior and subjective health cognition in urban area (p<0.01). There were correlations between health concern and health behavior, health behavior and subjective health cognition(p<0.05). Considering above results, the higher health behavior had the higher subjective health cognition in urban area. The higher health concern had the higher behavior, and the higher health behavior had the higher subjective health cognition in rural area.

• Journal of agricultural medicine and community health
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• v.27 no.2
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• pp.137-148
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• 2002

Objectives: This study was to investigate the needs for developing the health promotion program for elderly and to compare the health promoting lifestyles behaviors and perceived health status of elderly in urban and rural area. Methods: The data was collected from 82 elders in urban(D city) and 77 elders in rural area(C county) by face to face interview. The Health Promoting Lifestyle ProfileII(HPLPII) and Perceived Health Status were used. Results: 1) The total score of HPLP was 2.44. In the subscales, the highest degree of performance was 'nutrition', following 'interpersonal relationship', 'stress management', 'health responsibility' and 'spiritual growth' and the lowest degree of performance was 'physical activity'. 2) Elderly people living in urban area had significantly higher the total HPLP score than elderly people living in rural area The urban elderly had significantly higher the score of HPLP subscales such as 'physical activity', 'interpersonal relationship' and stress management than rural elderly. 3) The mean score of perceived health status was 8.79. There was no significant difference in the perceived health status between urban and rural elderly. Conclusions: The above findings indicate that it is necessary to develop a health promotion program with reinforced physical activity, health responsibility and spiritual growth for elderly people in Korea. Especially the physical activity need to he strengthened for rural elderly.

• Journal of Korean Public Health Nursing
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• v.13 no.1
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• pp.77-87
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• 1999

Poverty directly affects health and well-being, The poor population has a higher rate of chronics illness. higher infant morbidity and motality rates. shorter life expectancy. more complex health problems. and greater physical limitations resulting from chronic disease. In order to activate primary health care for the poverty in urban area the following measures should be taken : 1. Health center must be expended or establish subhealth center. 2. Health center must monitor neighbour's workplace's health management for their working population. 3. Health centers must do active home visiting nursing care for the urban-poor. 4. Health center must carry out flexible problem-centered practice according to the area. 5. For the urban-poor's health care must have organization of the health center & practice according to community's characteristics. 6. Public health care must be closely connected with welfare. 7. For the health care of the urban-poor must demand active community participation. 8. Health center is closely connected with Community hospital. 9. Active management of public health resource system is demanded.

• Research in Community and Public Health Nursing
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• v.16 no.1
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• pp.13-22
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• 2005

Purpose: The purpose of this study is to compare health promotion behavior and influencing factors between aged women of rural areas and urban areas, to investigate factors affecting their behavior, and to provide the primary data for developing heath enhancing program that is appropriate for the population. Method: A survey was conducted on 221 aged women 100 from urban areas and 121 from rural area. The data were collected through a questionnaire and interview. Descriptive statistics, ANOVA and multiple stepwise regression were found by using SPSS PC Win. Package. Result: There were significant difference of factors relating health promotion behavior in Pender model between the aged women in urban areas and rural areas, urban women showed higher scores in factors such as previous heath relating behavior, perceived confidence, self-efficacy, social support, satisfaction with marriage, situational influence, and behavioral plan involvement, while rural women showed higher scores in the factors of fixed idea regarding gender role, perceived disabled feeling, and activity related emotions. At the subscale of HPLP, interpersonal relation, nutrition, health responsibility, stress management, spiritual growth of rural group was lower than urban group. With the multiple stepwise regression analysis, commitment to a plan of action, social support, activity related affect, self efficacy were proved to be significant to urban group, while commitment to a plan of action. activity related affect, social support, sex-role stereotype were proved to be significant to rural group statistically. Conclusion: There were differences of health promotion behavior and influencing factors between aged women in urban areas and rural areas and women in rural areas were found to have more weakness than women in urban areas. With the results, it is concluded that health promotion programs for aged woman should be designed differently between urban and rural area regarding the factors affecting health promotion behaviors.

• Journal of Korean Academy of Rural Health Nursing
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• v.1 no.1
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• pp.11-20
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• 2006

Purpose: To compare of health inequalities between rural and urban areas in term of health status, health behaviors and medical care utilization by using national-wide data. Method: The data came from the 2000 and 2005 census data, 2004 death certification statistics and 2001 national health and nutrition survey. The health indicators used in this study were mortality, perceived health status, health related behaviors, morbidity, accidents and suicides, mental health-related factors, health care accessibility. Korean rural areas have been experiencing a rapid aging process and there are demographic differences between rural and urban populations. Thus, both of crude rates and age-adjusted rates were compared. Result: Although the degrees decreased after adjustment for age, health inequalities between areas still existed. The people who lived in rural areas suffer from higher mortality, morbidity and unhealthy behavior compared to people in urban areas. Especially, regional health inequalities for women were significant. Health care accessibility in rural areas was also lower and medical indirect costs for rural residents were higher than those of urban residents. Conclusion: To reduce health inequalities between geographical areas, political efforts to tackle health inequalities in the rural areas are required.

• Korean Journal of Health Education and Promotion
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• v.22 no.4
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• pp.167-177
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• 2005

Objectives: This study was performed to examine the clustering of lifestyle risk factors for chronic diseases in urban poor and rural adults. Methods: As a cross-sectional study, a questionnaire survey was conducted in 2003. Data was collected from 468 urban poor adults and 385 rural adults. And 848 persons data was used for final analysis. We surveyed their smoking habit alcohol consumption, exercise habit education and disease histories. Result: In mea about 25% of the urban poor subjects and about 20% of the rural subjects had three lifestyle risk factors(Prevalence ratio was 1.29). And, in women, about 1.5% of the urban poor subjects and about 0.5% of the rural subjects had three lifestyle risk factors(Prevalence ratio was 4.00). Especially in men, clustering of smoking and excessive alcohol consumption was strongest both the urban poor and rural subjects(Observed/Expected ratio(O/E): 1.4 in the urban poor subjects, 1.3 in the rural subjects). Conclusions: These findings show that the lifestyle risk factors cluster among the urban poor and rural adults. And the clustering is stronger in the urban poor adults than the rural adults. This tendency was important for health education and health promotion. We suggest that more intensive health promotion strategies for the urban poor adults are needed.

• The Korean Journal of Health Service Management
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• v.6 no.4
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• pp.205-217
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• 2012

A comparative study of the dental health perception and dental health behaviors among 12,325 middle and high school students in urban and rural areas was conducted by using "2010 National Dental Health Investigation". The results of this study are as follows. For the dental health perception and the utilization of dental service, all middle and high school students had a low perception of the their dental health status toward the farming and fishing regions from the urban. For the time of tooth-brushing among the dental health behaviors, most middle and high school students brushed their teeth after lunch. In connection with the frequency of cariogenic snack intake, high school students had a greater percentage toward the farming and fishing regions from the urban. For the dental health status, middle school students in big cities had a high average of carious permanent teeth, but high school students had a high average of carious permanent teeth toward the farming and fishing regions from the urban. In other words, there was no significant difference in missing permanent teeth, filling permanent teeth and decay permanent teeth between middle school students by region, but high school students had a greater percentage of the dental health perception and dental health behaviors toward the farming and fishing regions from the urban, showing a little difference. Consequently, there was a relationship between middle and high school students' perception of dental health and their behaviors of dental health.

• Korean Journal of Health Education and Promotion
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• v.21 no.4
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• pp.63-73
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• 2004

Purpose: This study was to identify the correlation between the health-promoting behavior and life satisfaction in elderly of the urban area. Method: The subjects of this study were 202 people aged over 65 who had been living in urban area. Data was collected through questionnaires from April 10th to September 30th, 2002. The collected data was analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient with SPSS statistical program. Result: The health-promoting behavior was given the informations that nutrition practices were most highly ranked, followed by interpersonal relationships, self-actualization, stress management, health responsibility, and exercise. The mean scores of health-promoting behaviors were significant differences in age and educational level. Life satisfaction was significantly related to only living situation. Health-promoting behavior of the subjects was found to be statistically significant and positively correlated with life satisfaction. Conclusion: These results suggested that elderly people in urban areas with high degree of quality of life is likely to be in practice with high degree of health-promoting behaviors. Therefore, it is necessary to develop health promotion programs in order to enhance the quality of life of elderly people in urban areas.

• Journal of Environmental Impact Assessment
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• v.19 no.1
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• pp.15-28
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• 2010

Because deterioration of air quality and urban heat island directly harm health of citizens, Health Impact Assessment (HIA) and Environmental Impact Assessment (EIA) for urban development projects needs to conduct analysis of their impacts objectively. This study aims to review appropriate methods for assessment of air quality used at each stage of urban development and to investigate prediction and assessment methods of urban heat island. In addition, by evaluating impacts of climate change following supposed urban construction performed in the central area of Korea on public health, it examines usefulness of HIA for urban construction. When urban heat island prediction and HIA method suggested in this study are applied to an imaginary city, they predict urban heat island properly and the impacts of climate changes on public health inside the city could be determined clearly by calculating life-climate index and bio-climate index related with thermal environment from the model.

• Research in Community and Public Health Nursing
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• v.8 no.2
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• pp.237-249
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• 1997

This study was conducted to investigate and to compare the health status of urban and rural elderly in Korea using the following factors: 1) the number of self-reported health problems 2) a self-rating score for health status 3) the number of diagnosed diseases 4) ADL, social health status by IADL and the psychological health status by Life Satisfaction scale developed by Wood and others. The study subjects were the elderly who lived in Pusan(N=150) as an urban area and Kyeungnam(N=300) province as a rural area. The study subjects were sampled at random and the data were collected by trained interviewers from Feb. 1 to Feb. 14, 1995. the data was analyzed in SPSS. The results can be summarized as follows : 1. According to the sociodemographic characteristics of the subjects, the urban elderly group was significantly higher in extended family groups and in practicing regular execise than the rural elderly: and the rural elderly group was higher in having spouses and occupations than the urban group. 2. Concerning health status, the numbers of self-reported health problems(eye problems, back pains, headaches, dental problems, arthritis) and number of diagnosed diseases(hypertension, heart problems, diabetes mellitus, neuralgia, arthritis) were significantly were higher higher in rural areas: the self - rating scores for health status and life satisfaction were higher urban areas. ADL and IADL were similar in both the rural and urban elderly. 3. The correlations were the following: Self-reported health problems and self-rating for health status were significantly correlated negatively(r=-.039, p=.000), but self-reported health problems and the number of diagnosed diseases were significantly positively correlated(r=0. 30, p=.000). IADL and health problems were negatively correlated(r=-0.16, p=.000), but IADL and ADL were significantly positively correlated (r=0.49, p=.000). Life satisfaction and self-rating scores for health status were significantly positively correlated(r=0.26, p=.000).