• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.607-614
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• 2020

This secondary analysis study used the 2015 Korea Health Panel data to identify the difference of factors affecting the quality of life (QoL) of Korean adults with diabetes mellitus (DM). The data from 1,343 subjects who met the criteria for screening was analyzed by multiple linear regression and quantile regression analyses. As a result, the average QoL of the subjects was .86 (±.14). The factors affecting the QoL of the subjects were age, gender, education level, spouse, economic activity, type of health insurance, and regular physical activity (all p<.05). However, there were differences of the results when dividing the subjects into three groups according to their QoL level. The factors for the lower 25% group were age, gender, education level, spouse, economic activity, type of health insurance, and regular physical activity, and those factors for the middle 50% group were age, gender, education level, spouse, type of health insurance, and regular physical activity, and those factors for the top 75% group were spouse, economic activity, household income, type of health insurance, and duration of DM. Based on these results, it is important to develop and provide a differentiated intervention strategy that considers the influential factors in order to improve the QoL of Korean adults with DM.

• Journal of the Korean Home Economics Association
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• v.18 no.1
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• pp.121-139
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• 1980

• Journal of agricultural medicine and community health
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• v.20 no.2
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• pp.175-185
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• 1995

This study is to compare family support and mental health between the rural and the urban elderly. In order to do that I collected the data through questioning 238 people in 3 urban areas in Busan and 201 people in 9 rural areas near Daegu. The degree of their family support is 36.70 on the average in the rural area and 40.77 in the urban area. The degree of family support of urban elderly is a little higher. According to general characters between the differences of family support in both areas, in the rural area there are differences in sex, age, whether they have a spouse or not, education level, financial state, number of children, number of co living, status of co living, subjective health status, amount of pocket money and how much they are participating in leisure activity. In the urban area there are differences in sex, whether they have a spouse or not, religion, financial state, number of co living, status of co living, subjective health status, amount of pocket money, how much they are participating in leisure activity and house pattern. In the stepwise multiple regression analysis the main variables that affect degree of family support in the rural area are age, whether they have a spouse or not and financial state which account for 33% of the total variance and in the urban area are subjective health status, financial state, whether they have a spouse or not and number of co-living which account for 35%. Health status is better in the urban area(average 36.87) than in the rural area(57.42). In each item the people whose mark was more than 75%(low) have Depression 8.4%, Somatization 8.0% in the urban area and Somatization 8.5%, Depression 8.5%, Anxiety 4.0%, Phobic anxiety 4.0%, Obsessive compulsive reaction 2.5%, Hostility 2.0%, Paranoid ideation 2.0%, Psychoticism 1.5% and Interpersonal sensitivity 1.5% in the rural area. In the mental health condition, on the basis of 4 points in both areas, the average is Somatization(rural : 1.69, urban : 1.51), Depression (rural : 1.64, urban : 1.37) and Obsessive compulsive reaction(rural : 1.33, urban : 0.99). According to the differences between mental health conditions by general characters, in the rural area the differences are presented in sex, age, whether they have a spouse or not, religion, education level, financial state, number of children, status of co living, subjective health status, amount of pocket money and how much they are participating in leisure activity, in the urban area the differences are presented in sex, whether they have a spouse or not, religion, financial state, number of co living, status of co living, subjective health status, house pattern, amount of pocket money and how much they are participating in leisure activity. In the stepwise multiple regression analysis the main variables that affect mental health condition in the rural are family support degree subjective health status, religion sex, age and financial state which account for 43% of the total and in the urban area are family support degree, subjective health status and financial state which account for 51%. In the matter of family support degree and mental health condition the rural area was -0.4555, of urban area was -0.6446. The rural area that has a high percentage in family support degree and mental health condition Depression was -0.5036, Psychoticism was -0.4265 in the urban area Psychoticism was -0.6452, Depression was -0.5955. Family support has a great influence on mental health of old people and family support and mental health condition can be different according to living area. So in their problems nursing intervention through family and nursing strategies according to living area should be established.

• Journal of dental hygiene science
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• v.16 no.6
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• pp.415-423
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• 2016

This study examined the relationship between oral health behaviors and in senior citizens to determine how to improve their happiness index. The subjects in this study were 260 senior citizens aged 65 years or older, who resided in North Jeolla Province. A survey was conducted from June 17 to 30, 2016. The happiness index of elderly people who brushed their teeth more often and had dental checkups on a regular basis was significantly higher (p<0.05). Evaluation of subfactors associated with quality of life related to oral health showed significant differences in functional disturbances according to gender, age, the presence or absence of a spouse, and the use or nonuse of dentifrice (p<0.05). Physical pain significantly varied with the presence or absence of a spouse, educational level, monthly mean allowance, and regular dental checkups (p<0.05); significant differences were found in psychological discomfort according to gender, tooth brushing frequency, and regular dental checkups (p<0.05). There were significant differences in declining physical capacity according to gender, age, educational level, and monthly mean allowance (p<0.05); waning mental capacity significantly differed with age, living alone or with another person, the presence or absence of a spouse, and regular dental checkups (p<0.05). The factors that influenced the happiness index in senior citizens were age, living alone or with another person, educational level, monthly mean allowance and the Oral Health Impact Profile score (p<0.05). The study showed that measures are needed to improve the quality of life and happiness index in elderly people, including the development of oral health programs for this population.

• 한국노년학
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• v.27 no.2
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• pp.445-458
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• 2007

This study aims to find the extent to which the elderly intends to live in their community and significant factors related to their intention and to provide basic but important empirical data in approaching to various community resources for community care service for the elderly. This study analyzed the raw data titled social welfare needs of residents of Busan Metropolitan City surveyed in 2005. Within the data, 1,673 households were selected in which at least one senior citizen aged 65 and over lived together. Questionnaires from in each household were analyzed. Research findings indicate that 80% of the respondents intend to live in their home rather than in residential institutions and that the elderly without adult children(55.2%) have less intention for living in their home than the elderly without their spouse(76.4%). Their intention-related factors were the presence of adult children, recognition on community resources for the elderly and perceived number of chronic diseases, when they were presumed to be healthy. When they were presumably weak or ill, socio-economic factors such as home ownership and welfare recipience were found to be more influential factors than family-related variables. The elderly who intended to live in home rather than to live in a residential institution were less likely to use social services in community than expected. Policy and practice implications were suggested on the basis of the findings.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.623-633
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• 2018

This study aims to conduct a comprehensive analysis of how the presence or absence of a partner affects the life characteristics of persons aged 65 or older. For this, the subjects were divided into the married group and the single group to investigate sociodemographic characteristics, health conditions, self-rated health level, disease morbidity, limitations in life due to health conditions and health-related quality of life. An assessment was carried out by analyzing local communities' health survey data of 3 years from 2014 to 2016. The results revealed that the single group had more women, a lower household income, poorer health conditions, and a higher chronic disease morbidity rate than the married group, and thus their self-rated heath level was lower as well. These characteristics were found to contribute to a lower quality of life in the single group than the married group. To this day, we have viewed the elderly as one of the groups based on age and only tried to identify their average characteristics, thus overlooking their various inherent problems. The results of this study suggest that physical, emotional and social problems seen among the elderly need a comprehensive measure. In addition, this study found that public health approaches and social welfare systems should be improved to develop personalized support programs for the elderly.

• 한국노년학
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• v.32 no.3
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• pp.675-687
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• 2012

This study is aimed to investigate the difference of leisure time use of elderly groups clustered with demographic factors and finally produce the leisure profile. A total 5392 time diaries, filled up by 65-years old and over in 2009 Time Use Survey, were analyzed by using descriptive statistics, correlation, cluster analysis, and ANOVA accompanied with the Scheffe's tests. The subjects could be clustered into 7 groups such as still working, work than leisure, hobby with friends, various leisure in a city, with religion and friendship, working and doing leisure in their spare time, and leisure in suburb based upon demographic factors such as age, gender, spouse, education, job, income and living area. The data also revealed that the clusters had different time use patterns in pursuing leisure. Overall, leisure in later life could be influenced by working status, and play an important role in filling their loss of job or spouse. The findings could help us plan upcoming leisure program and policies for the elderly.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.185-191
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• 2022

This study tried to identify the factors that affect the participation of national pension beneficiaries in economic activities. Data from the 8th KReIs main survey were used for the study subjects, and the number of subjects was 919. Descriptive statistics, t-test, ANOVA, and regression analysis were performed using SPSS 20.0. As a result, gender, age, marital status, residential area, physical health status, and mental health status showed differences in economic activity participation. Participation in economic activities was correlated with gender, age, marital status, physical health status, and psychological health status. As factors influencing the participation in economic activities of national pension recipients, it was found that gender, age, education level, residential area, and physical health had an effect on economic activity participation.

• Journal of Hospice and Palliative Care
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• v.21 no.4
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• pp.137-143
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• 2018

Purpose: The purpose of this study was to investigate the family composition of terminally ill cancer patients admitted to the hospice unit and how it affects their hospice care. Methods: We retrospectively analyzed the medical records of terminal cancer patients who died in one hospice unit between January 2009 and March 2014. The demographic and clinical characteristics of the patients were examined, and any different made by their marital status was evaluated. We calculated the time interval between cancer diagnosis and hospice admission and the survival period from hospice admission to death and analyzed their association with family composition. Results: When divided by the median time of 13 months between diagnosis and admission, Group B (>13 months) had a significantly higher proportion of patients living with their spouses; (P<0.01). The main decision maker was a spouse (52.9%) in Group B; (P=0.04). Conclusion: Among the characteristics of the family composition, the presence of spouse was an important factor associated with admission to a hospice unit. Clinicians need to be aware of the impact of marital status on end-of-life care. This study indicates that it is helpful to understand family composition of terminallyill cancer patients for an effective palliative and hospice care.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.682-694
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• 2020

The purpose of this study is to identify individuals' perceptions of extramarital relationships between themselves and their spouses and to reveal relevant factors. The results of analyzing the data obtained by conducting a survey of married people (402 persons) are as follows: First, the perception of spouse's extramarital relationship turned out to be much more negative than the person's perception of his(her) own extramarital relationship, which led to the discovery of a double standard. Second, men are far more receptive to extramarital relationships than women. Third, factors affecting the perception of extramarital relationships are gender(-.161), age(.144), presence of employment(.107), physical attraction(.087), autonomy(.120), emotional alienation(.105), openness(.124), pervasiveness of extra-marital relationship(.303), and satisfaction with sexual life(-.131). Factors affecting the perception of spouses' extramarital relationships are found to be emotional maturity(-.127), prevalence of extramarital relationships around them(.113) and satisfaction with sex life(1.131). Based on the main findings, various types of practical intervention that can be used to deal with extramarital relations are discussed.