• Korean Journal of Community Nutrition
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• v.8 no.6
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• pp.938-950
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• 2003

We conducted a case-control study to examine the relationship of depression and dietary related factors with the hyperlipidemia for urban living elderly women from low income group. The case group consisted of 45 elderly females with hyperlipidemia (serum cholesterol $\geq$ 240mg/dl or serum TG $\geq$ 250mg/dl and the control group of 95 age matched elderly women with serum cholesterol levels less than 240mg/dl and serum TG less than 250mg/dl. In a univariate analysis, vitamin C intake, the number of family members living with the subject, and their depression scores were significantly higher in the hyperlipidemic group than in the control group. In the logistic regression analysis, the vitamin C intake ($\geq$75% Korean RDA), the number of family members living with the subject ($\geq$ 1), depression scores ($\geq$7), BMI ($\geq$27), and subscapular skinfold thickness ($\geq$18mm) were associated with significantly higher (p<0.05) risks of hyperlipidemia in the elderly women. However after adjustment for other covariables, the depression scores (Odds Ratio 2.48 for depression score$\geq$7;95%CI:1.10-5.60) and subscapular skinfold thicknesses (Odds Ratio 5.69 for SBT$\geq$18mm, 95%CI:1.87-17.32) were the significant risk factors associated with hyperlipidemia in the elderly women.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.3
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• pp.345-352
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• 2009

Purpose: This study was done to investigate the degree of self-care, family support and depression, and relationship among these variables for elder with diabetes mellitus. Method: Participants were 202 diabetic patients, 65 years or over, living in Seoul, Korea. Data were collected using the self-care tool for diabetic patients by Kim (1996), the family support tool for diabetic patients by Park (1984), and Korea's BDI scale by Lee (1995). Results: Of the patients, 43.1% showed HbAlc levels than higher 7%. The highest mean score was for self-care for medication compliance, and the lowest for blood glucose testing compliance. Factors affecting self-care were employment, education, HbAlc level, diabetic self-care education and complications. Factors affecting family support were living with family, diabetic self-care education, hospitalization and complications. Factors affecting depression were gender, living with family and complications. All of these factors were significant. Patients experiencing depression were 16.8% of patients. There was a significant positive correlation between self-care and family support, and significant negative correlations between self-care and depression, and family support and depression. Conclusion: For more effective management of diabetes mellitus in elders, improvement in self-care compliance, and family support are needed.

• Korean Journal of Occupational Health Nursing
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• v.24 no.2
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• pp.86-93
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• 2015

Purpose: This study was to identify the factors determining the turnover intention of nurses in Emergency Department (ED). Methods: The subjects were 123 ED nurses working at 10 general hospitals in Busan, Korea. The data were collected from August 15th to September 22nd, 2013. The collected data were analyzed using the SPSS program through descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients and stepwise multiple regression. Results: There were positive correlations between traumatic events experience and post-traumatic stress (r=.416, p<.001), between depression and traumatic events experience (r=.212, p=.001), between traumatic events experience and turnover intention (r=.289, p=.001), between post-traumatic stress and depression (r=.251, p=.005), and also between depression and turnover intention (r=.315, p<.001). Factors influencing turnover intention were depression and traumatic events experience with $R^2$ value 16.7%. Conclusion: Considering these results, it seems that the important factors determining the turnover intention of nurses in ED are depression and traumatic events experienced by nurses. Therefore, an active plan is needed to develop strategies for reducing nurses' depression and traumatic events experienced by nurses.

• Health Policy and Management
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• v.32 no.1
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• pp.14-20
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• 2022

In this study, we distinguished urban and rural areas in Naju-si, Jeollanam-do, grasped the characteristics of those areas, and investigated the depression-related factors in Naju-si based on this. This study used Community Health Survey data from 2017 to 2019. To investigate the factors affecting the depression in Naju-si local residents, the odds ratio was calculated using a complex sample logistic regression model. As a result of confirming the factors affecting the prevalence of depression in Naju-si residents, the risk of depression was significantly higher at 1.59 (95% confidence interval [CI], 1.02-2.50) for women, 2.14 (95% CI, 1.20-3.83) for recipients of basic livelihoods, 2.35 (95% CI, 1.46-3.79) for those who did not practice walking, and 2.00 (95% CI, 1.23-3.26) for those who slept less than 5 hours. It is necessary to select high-risk groups as a regional-specific project to resolve the mental health disparities in Naju-si and to intervene in early depression prevention through support for mental health support services.

• Journal of agricultural medicine and community health
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• v.47 no.4
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• pp.268-274
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• 2022

Objectives: The purpose of this study was to identify the individual and regional risk factors on depression using community-based data in Jeollabuk-do. Methods: This cross-sectional study obtained data from the Community Health Survey 2018 in Jeollabuk-do. The dependent variable was depression measured by Patient Health Questionnaire-9 (PHQ-9). The prevalence of depression was defined if total score of PHQ-9 was 10 or higher. A multilevel analysis was conducted to consider individual and regional level independent variables that could be risk factors for depression. Results: In the individual level, female gender and smokers had significantly higher odds ratios (ORs) for depression of 1.58 and 1.72, respectively. Subjects with economic activity, higher income and higher education had significantly lower ORs of 0.53, 0.41 and 0.66. In the regional level, higher greening rates and lower levels of PM2.5 had statistically lower ORs at the significance level of 10%. Conclusion: By conducting this study, risk factors associated with depression were identified in individual- and regional-level. This study suggests that health projects are needed to control regional level risk factors including community networks for mental health management in addition to the traditional individual level risk factors.

• The Journal of Korean Academic Society of Nursing Education
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• v.14 no.2
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• pp.176-187
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• 2008

Purpose: The purpose of this study was to identify the factors that influence depression, suicidal thought, and life satisfaction of Korean elders. Method: The subjects for this study were 219 Korean elders living in three different provinces. The data was collected using structured questionnaires from October through December, 2007. Result: There were statistically significant differences in the levels of depression, suicidal thought, and life satisfaction according to age, health state, sleep state, economic state, feeling of loneliness, feeling of abuse, and having friends or neighbors. Suicidal thoughts correlated less with the above factors than depression did. Depression significantly correlated with age, life satisfaction, loneliness and suicidal thought. Suicidal thought was influenced significantly by depression. Life satisfaction was influenced significantly by depression, health state, and economic state. Conclusion: It could be concluded that nursing interventions for reducing depression and suicidal thought should be developed to improve life satisfaction and the health state of Korean elders as well as to relieve their feelings of loneliness.

• Journal of Korean Academy of Nursing
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• v.43 no.3
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• pp.442-451
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• 2013

Purpose: This descriptive study was done to develop a predictive model of depression in rural elders that will guide prevention and reduction of depression in elders. Methods: A cross-sectional descriptive survey was done using face-to-face private interviews. Participants included in the final analysis were 461 elders (aged${\geq}$ 65 years). The questions were on depression, personal and environmental factors, body functions and structures, activity and participation. Decision tree analysis using the SPSS Modeler 14.1 program was applied to build an optimum and significant predictive model to predict depression in rural elders. Results: From the data analysis, the predictive model for factors related to depression in rural elders presented with 4 pathways. Predictive factors included exercise capacity, self-esteem, farming, social activity, cognitive function, and gender. The accuracy of the model was 83.7%, error rate 16.3%, sensitivity 63.3%, and specificity 93.6%. Conclusion: The results of this study can be used as a theoretical basis for developing a systematic knowledge system for nursing and for developing a protocol that prevents depression in elders living in rural areas, thereby contributing to advanced depression prevention for elders.

• Journal of muscle and joint health
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• v.19 no.2
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• pp.161-172
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• 2012

Purpose: This study was to identify the factors influencing depression among patients with degenerative arthritis after total knee arthroplasty. Methods: The subjects were 108 patients who admitted or visited K hospital in K city after total knee arthroplasty. Data were analyzed using SPSS WIN 18.0 program. Results: The level of depression was 2.72 with a possible range of 1 to 5. Social support was 3.71 out of a total score 5. Self-efficacy was 64.47 ranged from 10 to 100. Self-esteem was 2.59 ranged from 1 to 5. The associated factors with depression were marital status, length of illness, perceived health status, pain, social support, self-efficacy, and self-esteem. Marital status, length of illness, and perceived health status accounted for 5.8% of depression. Next, all variables including pain, social support, self-efficacy and self-esteem accounted for 66.4% of depression. Conclusion: The level of depression among the subjects significantly be related to marital status, length of illness, perceived health status, pain, social support, self-efficacy and self-esteem. It indicates a need to develop nursing interventions for them to decrease depression and develop quality of life during recovery.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4571-4576
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• 2013

Background: Depression is a comorbid disabling problem and potentially affects patient likelihood of survival. The aims of this study were to recognize the characteristics of depression and investigate associated predictor factors in patients with oral cancers. Methods: A cross-sectional and correlational design was used to collect data for this study conducted in northern Taiwan. A set of questionnaires was used to measure depression, symptom distress, performance status, social support, and demographic and disease-related information. Logistic regression was conducted to determine important factors predicting depression. Results: A total of 132 oral cancer patients participated in this study. Of these, 18.2% were identified as depression cases. The patient average performance status score was 90 or higher. Patients reported mild-to-moderate levels of symptom distress. The majority of social support was from families. Religious belief, alcohol use, symptom distress, and social support from family were found to be important factors predicting depression. Patients with religious belief with alcohol use reported greater symptom distress, and those with lower levels of social support from families were significantly more likely to develop depression. Conclusions: Clinicians should assess patient emotional status and manage symptoms in a timely manner to enhance coping abilities. Supportive care provides assurance during the acute survivor phase.

• Korean Journal of Human Ecology
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• v.24 no.6
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• pp.811-827
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• 2015

The purpose of this study was to explore the factors related to depression of female elderly living alone by region. Data for this study was based on the 2011 National Survey on Elderly. Total of 1,684(689 rural elderly, 995 urban) community samples of female elderly living alone participated in this study. Even though there was no difference of depression score by region, this study found that the effects of factors on depression were significantly different by region. Yearly income, subjective health, balanced exchange of emotional support and satisfaction with their children were significantly associated with depression of both rural and urban female elderly living alone. For rural female elderly living alone, average daily television viewing time, number of close friends and frequency of contact with friends/neighbors were significant predictors to their depression. In the case of urban female elderly living alone, exercise, frequency of message, email or telephone contact with friends/ neighbors and balanced exchange of economic support contributed significantly to the prediction of depression. Subjective health had the strongest effect on depression for both rural and urban female elderly living alone.