• Journal of Oriental Neuropsychiatry
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• v.22 no.4
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• pp.41-50
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• 2011

Objectives : The purpose of this study is to know that Beck Depression Inventory(BDI) score to effect on improvement degree of low back pain after oriental medical treatment. Methods : We analyzed charts of 33 inpatients who were treated in Ja-Seng Hospital of Oriental Medicine and Bu-Cheon Ja-seng Hospital of Oriental Medicine. Subject is divided into Group A(BDI<10) and Group B(BDI${\geqq}$10). Numerical Rating Scale(NRS) and Oswestry Disability Index(ODI) were checked on admission, after 1 week, NRS and ODI were rechecked to estimate the efficacy of treatments. Results : 1. In both groups, NRS was significantly decreased(p<0.05). Analyzed result of the interaction between the two groups didn't show significant difference(p=0.197). 2. In Group A, ODI was significantly decresed(p<0.05). In Group B, ODI wasn't significantly decreased(p=0.058). The interaction analysis between the two groups didn't show significant difference(p=0.173). 3. Analyzing patients with chronic back pain longer than 6 months by the presence of depression tendency and NRS, ODI decrease after 1 week of ambulation, while the NRS reduction showed relevancy by the depression tendency (p<0.05), the ODI reduction didn't(p=0.272). Conclusions : 1. Although improvement of pain before and after the treatment and degree of functional recovery in high-level BDI group was less than low-level BDI group, but it was stastically insignificant. 2. High BDI score of patients with chronic low back pain is the factor of disturbing pain improvement.

• Journal of Oriental Neuropsychiatry
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• v.28 no.2
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• pp.73-81
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• 2017

Objectives: The purpose of this study is to show that patients taking antidepressants significantly respond to Korean medical treatments and M&L psychotherapy. Methods: We treated two patients with Korean medical treatments (acupuncture, moxibustion and Herbal Medicine) and psychotherapy including M&L psychotherapy and Li-Gyeung-Byun-Qi therapy. The patients were diagnosed based on DSM-IV diagnostic criteria for MDD. Beck's Depression Inventory (BDI), Beck's Anxiety Inventory (BAI), State-Trait Anxiety Inventory (STAI), Pittsburgh Sleep Quality Index (PSQI), and Visual Analogue Scale (VAS) were used to evaluate the patients. Results: The following observations were made after treatments: Case 1: the patient showed significant improvement in Beck's Depression Inventory (BDI), Beck's Anxiety Inventory (BAI), and Visual Analogue Scale (VAS). Case 2: the patient showed significant improvement in Beck's Depression Inventory (BDI), State-Trait Anxiety Inventory (STAI), Pittsburgh Sleep Quality Index (PSQI), and Visual Analogue Scale (VAS). Conclusions: These results suggest that Korean medical treatments and M&L psychotherapy might be effective for treating patients suffering from MDD.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.301-311
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• 2019

The increasing prevalence of diabetes is a socioeconomic and health issue. Diabetes control is a lifelong management rather than a cure, and self-care should be undertaken. This study is to classify diabetes mellitus into non-regulatory group, and to prove the difference in risk factors for diabetes. Furthermore, we want to clarify the relationship between the emotional factors by diabetics and the prevalence of diabetes. As a result, the factor of prevalence for glycemic control which is a diabetic person was demonstrated. In addition, negative emotions such as depression and stress were found to be associated with diabetes mellitus and blood sugar control. Therefore, the diagnosis of diabetes is considered to be necessary in combination with negative emotions such as depression and stress.

• Journal of The Korean Society of Clinical Toxicology
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• v.6 no.2
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• pp.134-137
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• 2008

Methylene blue is the first choice for treating methemoglobinemia, any increase in normal methemoglobin levels. Methemoglobin is an abnormal hemoglobin in which the iron has been oxidized to the ferric(+3) state, making it incapable of oxygen transport. Methemoglobinemia most commonly results from exposure to oxidizing chemicals, but may also arise form genetic, dietary, or even idiopathic etiologies. Patients with low methemoglobin levels are asymptomatic, but high methemoglobin levels can lead to headaches or even death. Methylene blue, the first-line treatment for methemoglobinemia, can also produce hemolytic anemia. Jaundice or dark urine during methylene blue treatment may indicate hemolytic anemia. A 47-year-old female patient with a history of depressive mood disorder developed significant methemoglobinemia after ingesting a Propanil overdose. Twenty-two hours after ingestion, methemoglobin levels in the blood were 73.2%. She was treated with intravenous methylene blue in the therapeutic range (1 mg/kg every 4 h for 3days). The 2nd day after methylene blue use, methemoglobin levels in the blood were 33%, and the 5th day decreased to 10% with better general condition. The patient had hyperbilirubinemia after hemolytic anemia, but she recovered completely.

• Journal of Oriental Neuropsychiatry
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• v.32 no.1
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• pp.25-37
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• 2021

Objectives: Depression is a mood disorder showing low energy, loss of interest, anhedonia, and anxiety. It affects a patients' daily life. This disease is considered a social problem because the patient may commit suicide in extreme cases. JSB is composed of 12 Korean medicinal herbs. It has been prescribed to patients with depression. The objective of this study is to investigate anti-depressive effects of JSB on restraint stress-induced depression in a mouse model. Methods: Depression was induced by restraint stress. Mice were orally administered JSB at 10, 20, or 40 mg/kg for 14 days. Forced swimming test (FST) and open field test (OFT) were performed. Brain-derived neurotrophic factor (BDNF) mRNA level was measured by real time-PCR. Plasma levels of corticosterone and serotonin were measured by ELISA. Blood levels of AST and ALS were measured using a biochemical analyzer. Results: JSB treatment significantly reduced the immobility time in FST. BDNF mRNA level was increased by JSB treatment in the hippocampi of mice. Although the expression of TNF-α was also increased by JSB, such increase was not statistically significant. The increase of corticosterone level in plasma induced by restraint stress was significantly down-regulated by JSB. JSB reduced blood level of AST, but not ALT. Conclusions: JSB has a potential to manage depression, setting a foundation for clinical application of Korean medicine with safety.

• Nutrition Research and Practice
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• v.15 no.2
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• pp.137-159
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• 2021

Long-chain (LC) n-3 polyunsaturated fatty acids (n-3 PUFAs), in particular docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), are nutrients involved in many metabolic and physiological processes, and are referred to as n-3 LCPUFA. They have been extensively studied for their effects in human nutrition and health. This paper provides an overview on metabolism, sources, dietary intake, and status of n-3 LCPUFA. A summary of the dietary recommendations for n-3 LCPUFAs for different age groups as well as specific physiological conditions is provided. Evidence for n-3 LCPUFA in cardiovascular diseases, including new studies, is reviewed. Expert recommendations generally support a beneficial effect of n-3 LCPUFA on cardiovascular health and recommend a daily intake of 500 mg as DHA and EPA, or 1-2 servings of fish per week. The role of n-3 LCPUFA on brain health, in particular neurodegenerative disorders and depression, is reviewed. The evidence for beneficial effects of n-3 LCPUFA on neurodegenerative disorders is non-conclusive despite mechanistic support and observational data. Hence, no definite n-3 LCPUFA expert recommendations are made. Data for the beneficial effect of n-3 LCPUFA on depression are generally compelling. Expert recommendations have been established: 200-300 mg/day for depression; up to 1-2 g/day for major depressive disorder. Recent studies support a beneficial role of n-3 LCPUFAs in reducing the risk for premature birth, with a daily intake of 600-800 mg of DHA during pregnancy. Finally, international experts recently reviewed the scientific evidence on DHA and arachidonic acid (ARA) in infant nutrition and concluded that the totality of data support that infant and follow-on formulas should provide both DHA and ARA at levels similar to those in breast milk. In conclusion, the available scientific data support that dietary recommendations for n-3 LCPUFA should be established for the general population and for subjects with specific physiological conditions.

• Korean Journal of Community Nutrition
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• v.28 no.2
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• pp.124-140
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• 2023

Objectives: This study examined the changes in dietary habits, the prevalence of chronic diseases, and mental health problems in the regional areas of the Republic of Korea before and after the COVID-19 pandemic to provide evidence of the status of regional health inequalities. Methods: This study analyzed Korean adults aged 19 or older who participated in the Korea Community Health Survey (n = 686,708) and Consumer Behavior Survey for Foods (n = 19,109) from 2018 to 2020. The participants were classified according to their residence area (Seoul metropolitan area, Metropolitan cities, Provinces); 2018-2019 were defined as before COVID-19, and 2020 as after COVID-19. The dietary behaviors, chronic diseases, and mental health problems were measured using a self-report questionnaire. Results: After COVID-19, the eating-out usage rate in the Seoul metropolitan area and Provinces decreased compared to before COVID-19 (P < 0.001), and when responding that they eat out, the frequency of eating out with household members in the Seoul metropolitan area increased (P = 0.024). The deliveries/takeout usage rate in the Provinces decreased after COVID-19 compared to before (P < 0.001). After COVID-19, the prevalence of obesity decreased in all regions (P < 0.001), and the prevalence of hypertension increased significantly in the Provinces (P = 0.015). The prevalence of diabetes mellitus increased continuously before and after COVID-19 in all regions (P < 0.002). High-risk subjective stress levels increased significantly in the Seoul metropolitan area (P < 0.001), and sleep duration significantly increased in all regions (P < 0.001). Major depressive disorder was reduced significantly in Metropolitan cities (P = 0.042) and Provinces (P < 0.001). Conclusions: After the COVID-19 pandemic, the prevalence of chronic diseases and mental health problems showed regional differences along with changes in dietary habits. It is necessary to reflect the regional differences in dietary habits in future policies resolving regional health inequalities.

• Child Health Nursing Research
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• v.30 no.2
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• pp.87-96
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• 2024

Purpose: The rising prevalence of smartphone overdependence among adolescents and its detrimental impact on mental health have become a growing concern. This study aimed to investigate the association between smartphone overdependence and the mental health of Korean adolescents. Methods: Participants were drawn from the 16th Korea Youth Risk Behavior Web-based Survey conducted in 2020. The dependent variable as smartphone overdependence, while the main exposure of interest was mental health, encompassing generalized anxiety disorder (GAD), perceived stress, sources of perceived stress, perceived loneliness, and perceived depressive symptoms. The study employed the Rao-Scott chi-square test and multiple logistic regression using IBM SPSS version 26.0. Results: The participants comprised 54,948 adolescents aged 13 to 18 years. Among them, 25.1% (n=13,775) were categorized as smartphone overdependence group. Specifically, 20.3% of adolescents who reported GAD ≥10 and 22.5% of those who reported experiencing high levels of perceived loneliness were identified as smartphone overdependent. The GAD increased a risk of smartphone overdependence by 2.61 times (95% confidence interval [95% CI]: 2.46-2.77). Perceived loneliness was associated with 1.98-fold (95% CI: 1.87-2.09) increased risk of smartphone overdependence. Additionally, conflict with peers was found to increase the risk of smartphone overdependence by 4.63-fold (95% CI: 3.89-5.52), followed by conflict with parents (odds ratio [OR]: 4.52, 95% CI: 3.84-5.31), and family environment (OR: 4.52, 95% CI: 3.75-5.46). Conclusion: The findings underscore a significant association between smartphone overdependence and mental health in Korean adolescents. Healthcare services to improve their emotional coping and interpersonal skills are necessary.

• Anxiety and mood
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• v.12 no.2
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• pp.113-118
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• 2016

Objective : Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) is known to reduce the quality of sleep and is associated with various psychiatric disorders. The aim of this study was to investigate the relationship of PMS with depression, sleep qulity and sleep pattern in Korean female adolescents. Methods : Out of 867 high school female students, 400 female subjects were included in this study. All participants completed self-report questionnaires that included demographic variables, shortened premenstrual assessment form (SPAF), patient health questionnaire-9 (PHQ-9), Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS), insomnia severity index (ISI) and Korean translation of composite scale (CS). A total of 394 individuals who completed the questionnaires were analyzed. Results : As score of SPAF, 143 subjects was defined PMDD group. They had more prevalence of eveningness, more depressive symptom, poorer sleep quality, and more excessive sleepiness than non-PMDD groups. Although the PMDD groups showed more menstrual dysmenorrhea, no difference was found in bleeding duration and cycle. PMS symptom had correlations with depression, poorer sleep quality and excessive sleepiness during the daytime. There was no difference in sleep duration between two groups, but PMS might have a relationship with eveningness of chronotype. Conclusions : Among Korean female high school students, the PMS might have an association with depression and poor sleep quality, and it might lead to daytime impairment due to excessive sleepiness. An appropriate evaluation of PMS could be helpful in determining the mental health condition of adolescents.

• Korean Journal of Biological Psychiatry
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• v.27 no.1
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• pp.18-26
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• 2020

Objectives The aim was to find effective vectorization and classification models to predict a psychiatric diagnosis from text-based medical records. Methods Electronic medical records (n = 494) of present illness were collected retrospectively in inpatient admission notes with three diagnoses of major depressive disorder, type 1 bipolar disorder, and schizophrenia. Data were split into 400 training data and 94 independent validation data. Data were vectorized by two different models such as term frequency-inverse document frequency (TF-IDF) and Doc2vec. Machine learning models for classification including stochastic gradient descent, logistic regression, support vector classification, and deep learning (DL) were applied to predict three psychiatric diagnoses. Five-fold cross-validation was used to find an effective model. Metrics such as accuracy, precision, recall, and F1-score were measured for comparison between the models. Results Five-fold cross-validation in training data showed DL model with Doc2vec was the most effective model to predict the diagnosis (accuracy = 0.87, F1-score = 0.87). However, these metrics have been reduced in independent test data set with final working DL models (accuracy = 0.79, F1-score = 0.79), while the model of logistic regression and support vector machine with Doc2vec showed slightly better performance (accuracy = 0.80, F1-score = 0.80) than the DL models with Doc2vec and others with TF-IDF. Conclusions The current results suggest that the vectorization may have more impact on the performance of classification than the machine learning model. However, data set had a number of limitations including small sample size, imbalance among the category, and its generalizability. With this regard, the need for research with multi-sites and large samples is suggested to improve the machine learning models.