• Human Ecology Research
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• v.54 no.5
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• pp.499-514
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• 2016

This study was to determine general trends with respect to work-family balance perception and psychological wellbeing, examine correlations between related variables, investigate differences in related variables, and understand the effect of work-family balance perception on psychological well-being in married employees. The subjects were 300 married employees living in G city. The subjects completed a questionnaire and data were analyzed using IBM SPSS 21.0. The major findings were as follows. First, the average scores of men and women's self-esteem were higher than the median. Men had a more traditional gender role attitude and higher work-family balance perception level than women. The scores of men and women's depression were lower and life satisfaction were higher than the median. Second, the scores of men and women's work-family balance perception were different according to working hours. Men's psychological well-being were different according to the scale of work place and women's psychological well-being were different according to household working time. Third, depression in married employees were negatively related to life satisfaction. Their psychological well-being were significantly related to work-family balance perception. Fourth, men's depression were influenced by self-esteem, social care service, family${\rightarrow}$work conflict, and work${\rightarrow}$family conflict. Depression in women were influenced by health state, self-esteem, gender role attitude, family${\rightarrow}$work conflict, and work${\rightarrow}$family conflict. Men's life satisfaction were influenced by health state, economic state, and self-esteem. Women's life satisfaction were influenced by health state, economic state, weekly working hours, self-esteem, and work${\rightarrow}$family conflict.

• Women's Health Nursing
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• v.4 no.1
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• pp.123-138
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• 1998

The purpose of this study was to describe perimenstrual symptom severity levels and perimenstrual distress patterns of women. The study performed the discriminant analysis in which included seven factors : age, pariety, social support, menstrual socialization(mother's symptom, sister's symptom, and menstrual effect), attitude of sex role and depression. The subjects were 283 women that they were not pregnant or lactating, had at least one period in past three months, would understand the purpose of study and willingly accepted the participation. The data analysis was done by pc-SAS program after data collection from Nov. 20, 1997 to Dec. 18, 1997. The descriptive analysis was done to explore general characteristics of the subjects and the stepwise discriminant analysis was done to verify factors in relation to perimenstrual symptom severity levels(severe vs mild menstrual symptom group) and perimenstrual distress patterns(spasmodic vs congestive menstrual symptom group). The instruments were selected for this study from Interpersonal Support Evaluation List(ISEL) by Cohen and Hoberman(1983), Center for Epidemic Studies Depression(CES-D) by Radloff(1977), and Sex Role Attitude Scale by Yunok Suh(1995), Mother's symptom and sister's symptom measurements by Woods, Mitchell & Lentz(1995), and menstrual effect by Brooks-Gun & Ruble(1980). The major findings of this study are as follows : 1. Of the 283 women, 93 women(32.9%) were assessed to severe perimenstrual symptom group and 190 women(67.1%) were assessed to mild perimenstrual symptom group. Results from the stepwise discriminant analysis showed three factors, such as depression, menstrual effect, and age, significantly related to perimenstrual symptom severity and they explained 20% of the total variance. The linear discriminant equation included three factors related to perimenstrual symptom groups was showed(Z=1.445 depression+0.174 menstrual effect-0.054 age). The cutting score(Z) was 2.809. We classified the severe perimenstrual symptom group by more than the cutting score 2.809 and the mild perimenstrual symptom by less or equal than the cutting score 2.809. The correctedness of posterior probability from discriminant equation was 72% as two perimenstrual symptom group classifications. 2. Of the 264 women, 139 women(52.7%) were assessed to spasmodic perimenstrual distress group and women(47.3%) were assessed to congestive perimenstrual distress group. Results from the stepwise discriminant analysis showed two factors, such as depression, age, significantly related to perimenstrual distress groups and they explained 8% of the total variance. The linear discriminant equation included two factors related to perimenstrual distress group was showed(Z=-0.084 age-0.776 depression). The cutting score(Z) was -3.759. We classified the spasmodic perimenstrual distress group by more than cutting score -3.759 and the congestive perimenstrual distress group by less or equal than cutting score -3.759. The correctedness of posterior probability from discriminant equation was 65% as two perimenstrual distress group classifications.

• Korean Journal of Biological Psychiatry
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• v.13 no.1
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• pp.19-25
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• 2006

Background : Some reports have suggested that decreased nitric oxide metabolites($NO_x$) and activity of nitric oxide synthase could be related to the pathophysiology of depression. We evaluated plasma levels of $NO_x$ in pregnant women with and without postpartum depression at prenatal and postnatal period. Methods : The plasma concentrations of $NO_x$ were measured in 104 pregnant women in the third trimester and at 6 weeks postpartum and in 64 normal controls. The severity of depression and anxiety was measured with the Edinburgh Postnatal Depression Scale(EPDS), Beck Depression Inventory(BDI), and Beck Anxiety Scale(BAI). Results : Plasma $NO_x$ levels at 6 weeks postpartum were significantly lower in cases of postpartum major depression(EDPS scores${\geq}$13 points) than in cases without depression(EDPS scores${\leq}$9 points). Plasma $NO_x$ levels had significantly negative correlation with EPDS scores at 6 weeks postpartum. Conclusion : We demonstrate that decreased plasma $NO_x$ is associated with postpartum depression. Further studies are required to determine whether individual serum concentration of plasma $NO_x$ alone could predict maternal depression.

• Research in Community and Public Health Nursing
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• v.20 no.1
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• pp.41-48
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• 2009

Purpose: This study was aimed to explain the relationship of family burden, family support, depression and satisfaction among caregivers of the elderly. Methods: The study population were 126 caregivers of 5 elderly residing in institutionalized nursing homes in Seoul and Kyunggi. The research tool of this study was a structured questionnaire on family burden, family support, depression and satisfaction. The data were collected from March 13 to April 30, 2008, and analyzed by Cronbach's alpha, descriptive statistics, t-test, ANOVA and Pearson's correlation coefficient and multiple regression by using the SPSS/WIN 14.0 program. Results: The major findings of this study were as follows: a significant positive correlation between family support and depression (r=.65, p=.001) was found. A significant positive correlation between family support and satisfaction (r=.68, p=.001) was perceived. Significant factors influencing Satisfaction were Family Support, which explained 38.2% of the variance of Satisfaction of Elderly Caregiver. Conclusion: This study suggested that we should develop programs and policies to increase the satisfaction of caregivers for their family support. In conclusion, the study was done to give suggestions to improve caregiver satisfaction of the aged and to serve as a basis for policy strategies by examining the current conditions of the nursing facilities.

• Korean Journal of Social Welfare
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• v.38
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• pp.68-99
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• 1999

In this study, the effectiveness of integrated group program for battered women in the shelters carried out and the program's effectiveness concentrating on the depression is evaluated. The integrated group program was developed based on the National Family Violence Survey and other studies about battered women's characteristics. The major outcomes of the study are following. First, depression score of the test group(N=10) in comparison with the comparison group(N=18) decrease with statistical significance. Second, among the sub-symptoms of depression, the symptoms of affective, cognitive, and behavioral depression significantly decrease. These findings show that an integrated program is needed to improve battered women's mental health; it includes not only a mental health intervention but many other services such as family violence education, communication training, social support networking, economic independence improvement and child rearing.

• Korean Journal of Psychosomatic Medicine
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• v.15 no.1
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• pp.22-28
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• 2007

The pregnancy and postpartum period appear to be a time of heightened vulnerability for the development of major depression in some women. Postpartum depression affects 10% of women within a few weeks immediately postpartum. Postpartum depression is associated with disturbances in the mother-infant relationship, which in turn have an adverse impact on the course of child cognitive and emotional development. Depression during pregnancy is also common, although it has been relatively neglected. Psychopathological symptoms during pregnancy have physiological consequences for the fetus. Understanding the aetiology of perinatal depression requires integrating of multiple psychosocial and biological risk factors. The treatment of depressed pregnant women requires skilled decision making by psychiatrists. Risk-benefit analysis is appropriate method for intervention fur depression in pregnancy. Effective treatments for depression in pregnancy include psychotherapy, antidepressant medication and electroconvulsive therapy. In treatment of postpartum depression, the biological, psychological, and social interventions are included. Prescribing antidepressants(such as fluoxetine), estrogen in severe and chronic cases, and counselling can be effective for improving maternal mood and aspects of infant outcome. Ongoing research is directed to further elucidating neurohormonal and psychosocial contributions to depression during pregnancy or postpartum. Screening for risk factors and symptoms for depression need to be incorporated into antenatal and pediatric clinics.

• Child Health Nursing Research
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• v.30 no.2
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• pp.154-163
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• 2024

Purpose: This study is descriptive research aiming to identify factors influencing the stigma experienced by college students with coronavirus disease 2019 (COVID-19), focusing on COVID-19 pandemic stress, depression, and fear of negative evaluation as the main variables. Methods: An online survey was administered to 175 college students who had been diagnosed with COVID-19 from January to May 2022 and were enrolled in universities in Seoul, Cheongju, and Daegu, South Korea. The survey collected data on pandemic stress, depression, fear of negative evaluation, and stigma. The data were analyzed using the t-test, ANOVA, the Scheffe test, Pearson's correlation coefficients, and stepwise multiple regression in SPSS/WIN 26.0. Results: We analyzed differences in stigma scores based on general characteristics of the college students and found significant differences in stigma scores by age, major satisfaction, interpersonal satisfaction, date of COVID-19 confirmation, treatment modality, and recent subjective health condition. Factors influencing stigmatization were identified as COVID-19 pandemic stress, depression, date of COVID-19 confirmation, treatment modality, recent subjective health condition, and major satisfaction, with an overall explanatory power of 37.6%. Conclusion: This study is significant as it identifies emotional changes across various aspects of pandemic stress, depression, fear of negative evaluation, and stigma among college students who have been diagnosed with COVID-19. The findings of this study suggest the development of programs to reduce psychological distress and enhance mental health management skills among these students.

• 한국노년학
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• v.31 no.2
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• pp.211-222
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• 2011

The purpose of this study was to assess pain, life satisfaction, sleep pattern, and depression and the relations between these in elderly women with ostearthritis. Methods: The subjects were 124 elderly women with osteoarthritis at senior center in C city. Data were analyzed by descriptive statistics, Pearson's correlation coefficients, and multiple regression with SPSS/WIN 14.0. Results: The major findings of this study were as follows. 1) The mean score of variables were pain 2.58, life satisfaction 65.4, sleep pattern 37.6 and depression 13.58. 2) 43.5% of the subjects belonged to depression group. 3) There were significant relationships between depression and pain, life satisfaction, sleep pattern. 4) Significant factors influencing depression were life satisfaction, pain and sleep pattern. These factors explained 48% of depression in elderly women with ostearthritis. Among them, life satisfaction was the most significant factor. Conclusion: These finding give useful information for constructing an intervention and preventive program depression in the elderly women with osteoarthrtitis.

• Journal of muscle and joint health
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• v.8 no.1
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• pp.27-50
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• 2001

Rheumatoid arthritis is a chronic systemic autoimmune disease. Although the joints are the major loci of the disease activity, fatigue is a common extraarticular symptom that exists in all gradations of rheumatoid arthritis. Fatigue is defined as a subjective sense of generalized tiredness or exhaustion and has multiple dimensions. Therefore fatigue is a common and frequent problem for those with rheumatoid arthritis. In fact, 88-100% of individuals with rheumatoid arthritis experience fatigue. Especially the degree of fatigue is higher in women than men with rheumatoid arthritis. Despite the importance of fatigue among the patients with rheumatoid arthritis, the mechanism that leads to fatigue in rheumatoid arthritis is not completely understood. This study was intended to test and validate a model to predict fatigue in women with rheumatoid arthritis. Especially it was intended to identify the direct and indirect effects of the variables of pain, disability, depression, sleep disturbance, morning stiffness, and symptom duration to fatigue. Data were collected by questionnaires including Multidimensional Assesment of Fatigue(Tack, 1991), numeric scale of pain, graphic scale of joints, Ritchie Articular Index, Korean Health Assessment Questionnaire(Bae, et al., 1998), Inventory of Function Status(Tulman, et al., 1991), Center for Epidemiologic Studies-Depression, and Korean Sleep Scale(Oh, et al 1998). The sample consisted of 345 women with a mean duration of rheumatoid arthritis for 10.06 years and a mean age of 49.64 years. SPSS win and Win LISREL were used for the data analysis. Structural equation modeling revealed the overall fit of the model. Pain predicted fatigue directly and indirectly through disability, depression, and sleep disturbance. Disability, sleep disturbance predicted fatigue only directly, while depression only indirectly through disability and sleep disturbance. Also morning stiffness and symptom duration predicted fatigue through disability and depression. All predictors accounted for 65% of the variance of fatigue. Depression, pain, and disability predicted sleep disturbance. Depression had reciprocal relationship with disability and they both were predicted by pain directly and indirectly. In summary, pain, depression, disability, sleep disturbance, morning stiffness, and symptom duration contributed to the fatigue of patients with rheumatoid arthritis. The best predictor of fatigue was pain. This finding indicates that the modification of pain, depression, disability, sleep disturbance, morning stiffness could be nursing intervention for relief or prevention of fatigue.

• Human Ecology Research
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• v.55 no.1
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• pp.13-26
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• 2017

This study investigated the latent groups depending on married working women's work-family spillover. The effects of factors that determine mental health subgroups and differences were also analyzed. Mixture modeling was applied to the Korean Longitudinal Survey of Women & Families to achieve the research objectives. The major findings of this study were as follows. First, there were four subgroups that could be defined according to the work-family spillover: mid-level spillover group (mid-positive and mid-negative spillover group), high-level spillover group (high-positive and high-negative spillover group), low-level spillover group (low-positive and low-negative spillover group), and high-negative and low-positive spillover group. Second, the results of mixture regression analysis to test the effect of eco-system variables showed that age, academic background, non-traditional family value, number of children, work hours, wage income, and availability of the maternity leave were significant determinants of the latent groups. The probability of classifying in the high-negative and low-positive spillover group increased when women showed a lower academic background and wage income, higher number of children and older age, and longer work hours than others. Third, the high-level spillover group, and the high-level spillover group showed the lowest stress and the lowest depression; however, the low-level spillover group reported the highest stress and the highest depression. Implications, limitations, and future directions were discussed based on the results.