PURPOSE: The purpose of this study was to investigate the emotional state and related factors in patients with lymphedema. METHODS: The subjects of this study consisted of 95 patients with lymphedema at 8 hospitals in Busan and Seoul. Data was collected by a self-administered questionnaire between March 2001 to December 2001. Data was analyzed by Pearson correlation coefficient, and stepwise multiple regression using SPSS Win 12.0. RESULTS: The mean score of the emotional state of the subjects was 3.06; of their physical symptoms, 1.84; of their Activities of Daily Living(ADLs), 2.30; and of their social activities, 3.67. The emotional states of lymphedema patients correlated with their physical symptoms, their ADLs, and their social activities. The Factor influencing the emotional state of the subjects was social activities. CONCLUSION: These results suggest that a negative emotional state is very common in patients with lymphedema, to which appropriate attention should be given. Rehabilitation programs must be implemented to improve lymphedema patients' emotional state, physical symptoms, ADLs, and social activities.
Activities of Daily Living ; Affective Symptoms ; Aged ; Breast Neoplasms/complications/diagnosis/psychology ; *Emotions ; Female ; Humans ; Lymphedema/diagnosis/etiology/*psychology ; Male ; Middle Aged ; Questionnaires ; Sickness Impact Profile ; Social Behavior ; Uterine Cervical Neoplasms/complications/diagnosis/psychology

PURPOSE: Our study aimed to examine the relationship between intelligence and health-related quality of life (HRQOL) in children (6-13 years old) diagnosed as having a brain tumor. MATERIALS AND METHODS: We administered a Korean version of the Wechsler Intelligence Scale for Children-III, the Pediatric Quality of Life Inventory, version 4.0 (PedsQL), the Korean version of the Parenting Stress Index-Short Form, and the Korean Version of the Parenting Sense of Competence (K-PSOC) scale before or after initial radiotherapy (T1) and after treatment termination (T2). In total, 13 patients completed both the T1 and T2 interviews. RESULTS: Scores significantly declined between T1 and T2 on the full-scale intelligence quotients (FIQ), verbal intelligence quotients (VIQ), performance intelligence quotients (PIQ), similarity and coding tests, as well as the K-PSOC, which measures parental anxiety. FIQ scores at T1 were correlated with the self-reported PedsQL total scores (r=0.739) and the parent proxy-report PedsQL scores for school functioning (r=0.706) at T2. Also, the FIQ scores at T2 were correlated with the self-reported PedsQL total scores (r=0.748) and scores for physical health (r=0.728) at T2. CONCLUSION: The cognitive ability and intelligence level of the patients significantly declined between on and off treatment periods, and higher intelligence functioning at both on and off treatment was correlated with long-term higher HRQOL. Further investigations that monitor intelligence, HRQOL and parenting stress over a longer period, using a greater number of participants, are needed.
Adolescent ; Anxiety ; Brain Neoplasms/complications/physiopathology/*psychology ; Child ; *Cognition ; Female ; Humans ; Intelligence Tests ; Longitudinal Studies ; Male ; Parenting ; Parents/psychology ; Prospective Studies ; *Quality of Life ; Stress, Psychological/*diagnosis ; Time Factors

PURPOSE: The aim of this study was to develop and test an explanatory model for sleep disorders in people with cancer. A hypothetical model was constructed on the basis of a review of previous studies, literature, and sleep models, and 10 latent variables were used to construct a hypothetical model. METHODS: Data were collected from April 19 to June 25, 2010, using self-report questionnaires. The sample was 291 outpatients with cancer who visited the oncology cancer center at a university hospital. Collected data were analyzed using SPSS Win 15.0 program for descriptive statistics and correlation analysis and AMOS 7.0 program for covariance structural analysis. RESULTS: It appeared that overall fit index was good as chi2/df=1.162, GFI=.969, AGFI=.944, SRMR=.052, NFI=.881, NNFI=.969, CFI=.980, RMSEA=.024, CN=337 in the modified model. The explanatory power of this model for sleep disorders in people with cancer was 62%. Further, sleep disorders were influenced directly by cancer symptom experience, dysfunctional beliefs and attitudes about sleep, and past sleep pattern. CONCLUSION: Findings suggest that nurses should assess past sleep pattern and consider the development of a comprehensive nursing intervention program to minimize the cancer symptom experience, dysfunctional beliefs and attitudes about sleep, and thus, reduce sleep disorders in people with cancer.
Anxiety ; Depression ; Female ; Hospitals, University ; Humans ; Male ; Middle Aged ; *Models, Theoretical ; Neoplasms/*complications/*diagnosis/psychology ; Questionnaires ; Self Concept ; Sleep Disorders/epidemiology/*etiology/*psychology ; Social Support