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Authors report a case of separation anxiety disorder, which developed as a side effect during haloperidol treatment of Tourette syndromes(TS). In this case, 14 years old boys developed attention deficit symptoms during his infancy. At 4th grade of primary school, he developed vocal tic, motor tic, and coprolalia. With 5mg/day of haloperidol treatment his symptoms of TS were subsided. During the treatment, he developed features of separation anxiety disorder, including dependence, pleading, clinging, and sadness. Symptoms of attention deficit and separation anxiety disorder were improved by 25mg/day of imipramine treatment. During haloperidol treatment of TS, careful observation may be needed whether separation anxiety disorder-like symptom develops.
Adolescent ; Anxiety, Separation ; Haloperidol* ; Humans ; Imipramine ; Tics ; Tourette Syndrome*

PURPOSE: The aim of this study was to evaluate the effect of Er:YAG laser on microstructure and roughness of TiO2 blasting implant surface. MATERIALS AND METHODS: Ten TiO2 blasting implant were used in this experiment. One implant was control group, and nine TiO2 blasting implant surfaces were irradiated with Er:YAG laser under 100 mJ/pulse, 140 mJ/pulse, and 180 mJ/pulse condition for 1 min, 1.5 min, and 2 min respectively. Optical interferometer and scanning electron microscopy was utilized to measure roughness and microstructure of specimens. RESULTS: The surface roughness was decreased after Er:YAG laser irradiation in all groups, but there was no significant difference. 100 mJ/pulse and 140 mJ/pulse group did not alter the TiO2 blasting implant surface in SEM study while 180 mJ/pulse group altered the TiO2 blasting implant surface. Implant surfaces showed melting, microfracture and smooth surface in 180 mJ/pulse group. CONCLUSION: Detoxification of implant surface using Er:YAG laser must be irradiated with proper energy output and irradiation time to prevent implant surface alteration.
Freezing ; Microscopy, Electron, Scanning

Depression is one of the most significant public health problems in Korea. The lifetime prevalence rates of major depressive disorder (MDD) in Korean adults have ranged from 3.3% to 5.6%, which are lower than those of western countries. Point prevalence rates of MDD in Korean elders from 4.6% to 7.5%, which are relatively higher than those of Western countries and other Eastern countries, have been reported. The prevalence rate of probable depression (depressive symptoms defined by the cutoff point of 16 on the Center for Epidemiologic Studies Depression Scale was lowest in the age group of 40 to 49 years at 7.6%, and highest in the age group of 15 to 18 years at 46.8%. The prevalence of probable depression in Korean elders increased with age and was highest in the group aged 80 years and over, at 35.4%. There is relatively consistent evidence that being female, having low income, no education, prior MDD, dementia and history of cerebrovascular attack increased the risk of depression. Although it is difficult to come to consistent conclusions on the epidemiology of depression in Korea due to methodological differences between studies, depression is already common and will become more common in Korea. Tremendous sociocultural, economic, and political changes along with rapid population aging have contributed and will contribute to the prevalence and impacts of depression in Korea.
Adult ; Aged ; Aging ; Dementia ; Depression ; Depressive Disorder, Major ; Epidemiologic Studies ; Female ; Humans ; Korea ; Prevalence ; Public Health ; Risk Factors

OBJECTIVES: REM sleep behavior disorder (RBD) has received little attention in epidemiologic studies. This study aimed to determine the prevalence of probable REM sleep behavior disorder (pRBD) in the elderly population and its clinical features. METHODS: A random sample of 1,588 was selected from a roster of 14,050 elderly population living in Osan city. The subjects were asked to fill out the REM sleep behavior disorder screening questionnaire (RBDSQ). Subjects whose score were 5 or higher on RBDSQ underwent a diagnostic phase of person-to-person assessment by experts in RBD. RESULTS: Among 1,588 subjects, 886 elderly subjects participated in the screening phase and 123 subjects were assessed in the diagnostic phase. Eleven subjects were diagnosed as having pRBD, so prevalence was 1.5% (95% CI=0.70-2.30%). The frequency of depression and cognitive decline was significantly increased in patients with pRBD compared to subjects without pRBD, and there was no difference in sleep disturbances between two groups. CONCLUSIONS: Probable REM sleep behavior disorder is not rare in the elderly but frequently under-recognized. More attention should be paid to evaluation and treatment of RBD.
Aged ; Depression ; Epidemiologic Studies ; Humans ; Mass Screening ; Prevalence ; Surveys and Questionnaires ; REM Sleep Behavior Disorder ; Sleep, REM

OBJECTIVES: To evaluate the relation of onset-age and plasma level of beta-endorphin, Ethanol, beta-endorphin, cortisol and blood glucose were compared in 48 male alcoholics and 29 normal controls. METHODS: Alcoholics are divided into two groups by onset-age of alcoholism. Blood samples were obtained before and after 0.75gm/kg of ethanol consumption at the 7th admission day. RESULTS: 1) The ratio of onset-age before 25 years to after 25 years of the patients group was 2 to 3. 2) There was no significant difference in age at admission between two patient groups. 3) There was no significant difference in change of plasma ethanol levels among three groups. 4) There was no significant difference in change of plasma beta-endorphin levels among three groups. 5) There was no significant difference in change of plasma cortisol levels among three groups. 6) There was no significant difference in change of fasting blood sugar levels among two patient groups.
Alcoholics ; Alcoholism* ; beta-Endorphin* ; Blood Glucose ; Ethanol ; Fasting ; Humans ; Hydrocortisone ; Male ; Plasma

OBJECTIVES: More than half of the elders suffer from chronic sleep disturbances. Moreover, sleep disturbances are more prevalent in patients with depressive disorder than in community dwelling elderly. In this study, we aim to estimate the risk factors of poor sleep quality and its effect on quality of life in patients with late life depression. METHODS: This study included 159 depressive patients aged 65 years or older who completed Pittsburgh Sleep Quality Index (PSQI). A global PSQI score of 5 or greater indicates a poor sleeper. Structural diagnostic interviews were performed using the Korean version of Mini International Neuropsychiatric Interview (MINI). Depression was evaluated by the Korean form of Geriatric Depression Scale (KGDS). Global cognition was assessed by Mini-Mental State Examination in the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease assessment packet. Quality of life was evaluated by the Korean version of Short-Form 36-Item Health Survey (SF-36). RESULTS: The frequencies of poor sleepers were 90.5% in major depressive disorder, 71.8% in minor depressive disorder, 47.1% in subsyndromal depressive disorder, and 73.0% in all types of depressive disorders. Multivariate logistic regression analysis indicated that female [odds ratio (OR) = 2.83, 95% confidence interval (CI) = 1.20-6.67] and higher KGDS score (OR = 1.13, 95% CI = 1.05-1.21) were risk factors of poor sleep quality in patients with late life depression. In the analysis of ANCOVA adjusted for age, gender, education and KGDS score, the mean scores of vitality mental health and mental component summary of SF-36 were lower in poor sleepers than in good sleepers. CONCLUSIONS: Poor sleepers among patients with late life depression are very common and are associated with female and higher KGDS scores. Poor sleep quality causes a significant negative effect on mental health quality. So researchers and clinicians should be more vigilant in the evaluation and treatment of sleep disturbances in patients with late life depression.
Aged* ; Alzheimer Disease ; Cognition ; Depression* ; Depressive Disorder ; Depressive Disorder, Major ; Education ; Female ; Health Surveys ; Humans ; Logistic Models ; Mental Health ; Quality of Life* ; Risk Factors