• Journal of Korean Academic Society of Home Health Care Nursing
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• v.30 no.1
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• pp.5-14
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• 2023

Purpose: This study aims to identify the degree of anxiety and depression related to infection control and job stress in clinical nurses during the COVID-19 pandemic. Furthermore, it seeks to identify the effects of depression. Finally, it intends to develop intervention measures to prevent depression in clinical nurses during epidemics of new infectious diseases and prepare basic data for developing educational programs. Methods: Data were collected using a self-report questionnaire survey administered to 208 nurses. The data were analyzed using the IBM SPSS (Version 26.0) statistics program. Results: The correlation analysis between participant depression, anxiety, and infection control job stress found that depression had a positive correlation with anxiety (r=.63, p<.001) and infection control work stress (r=.26, p<.001). Anxiety (β=0.60, p<.001) was found to significantly affect participant depression with an explanatory power of 40.2%, confirming that higher anxiety levels induce increased depression. Conclusion: Based on the above results, anxiety is confirmed to be a factor that affects depression. Accordingly, education is required to strengthen individuals' physical and mental capabilities and promote a safe working environment, including providing sufficient personal protective devices and other appropriate gear to defend clinical nurses against outbreaks of emerging infectious diseases at medical institutions and through healthcare policies. Other considerations should include sufficient rest hours and paying additional benefits for nurses caring for patients with severe confirmed COVID-19.

• Korean Journal of Biological Psychiatry
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• v.16 no.1
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• pp.46-52
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• 2009

Objectives : The goal of this study was to compare the clinical characteristics of panic disorder respiratory subtype(PD-R) and non-respiratory subtype(PD-NR). Methods : 84 patients with panic disorder were enrolled and divided into 2 groups, 29 PD-R and 55 PD-NR. Diagnosis of panic disorder was evaluated using Diagnostic and Statistical Manual of Mental Disorders $4^{th}$ edition and Mini International Neuropsychiatric Interview. They were also measured with Hamilton Rating Scale for Anxiety(HAM-A), Hamilton Rating Scale for Depression(HAM-D), and Panic Disorder Severity Scale (PDSS). Results : PD-R group showed significantly higher scores in PDSS than those of PD-NR group(p=.027). After controlling for the severity of panic disorder and gender, PD-R group showed higher HAM-D and somatic anxiety subscale of HAM-A than those of PD-NR group. Furthermore, results of logistic regression analysis suggested that the somatic anxiety was a possible risk factor of PD-R(OR=1.404,p=0.009). Conclusion : These results suggest that somatic anxiety and depressive symptom would be important clinical characteristics of PD-R.

• Korean Journal of Psychosomatic Medicine
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• v.28 no.1
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• pp.1-7
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• 2020

Objectives : The purpose of this study was to explore comparison of clinical characteristics among Anxiety disorder, Depressive disorder, and Co-morbid of Anxiety disorder and Depressive disorder. Methods : Since January, 2017 to May, 2019, patients were recruited from the department of psychiatry of Hanyang University Guri Hospital. Participants were diagnosed Anxiety disorder, Depressive disorder, and Co-morbid of Anxiety disorder and Depressive disorder using DSM-5 criteria by board certified psychiatrists or clinical psychologists. And each of participants tested with MMPI-2 and clinical psychologists were converted MMPI-2 to MMPI-2-RF. The data were analyzed using SPSS 18.0. Results : The results indicated EID, RC2, HLP, SAV, and INTR-r were the highest in Co-morbid of Anxiety disorder and Depressive disorder group. And BXD, RC4, JCP, and AGGR-r were the highest in Depressive disorder group. Conclusions : The results indicated that Co-morbid of Anxiety disorder and Depressive disorder group were more severe internalizing dysfunction like lower positive emotion, helplessness, social avoidance and discomfort than single-diagnosed group. Single Depressive disorder group were more serious externalizing dysfunction like anger and aggression than single Anxiety disorder and Co-morbid of Anxiety disorder and Depressive disorder. The implications and limitations were discussed.

• Korean Journal of Psychosomatic Medicine
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• v.3 no.2
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• pp.214-221
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• 1995

There appears to be an increased incidence of anxiety symptoms in association with certain medical illness. It is usually assumed that certain medical disorders are directly associated with anxiety symptoms in that the pathophysilolgy of the medical illness somehow causes the anxiety symptoms. However, the pathophysilolgies of many such medical illnesses as well as anxiety are not known and no discrete group of medical illnesses is clearly more likely to produce anxiety symptoms than any other Moreover, anxiety symptoms may be the representation of other psychiatric symptoms, like depression and delirium. Though it is important to differentiate primary and other causes(secondary) of anxiety clinically, the clear differentiation is somewhat arbitrary, as the confusion of mind-body dichotomy. for the purpose of accurate treatment of anxiety symptoms relating medical illness, this review article focuses on those clinical features and mechanisms of anxiety that are potentially useful in differential diagnosis.

• Journal of Korean Clinical Health Science
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• v.5 no.4
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• pp.1026-1031
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• 2017

Purpose. This study was to investigate the relationships among mobile internet addiction, sleep quality, anxiety, and interpersonal relationship in university students. Method. A descriptive study design was used. Between 10 and 31 March 2016, 213 subjects completed a questionnaire consisting of questions on mobile internet addiction, anxiety, sleep quality, and interpersonal relationship. The data were analyzed using descriptive statistics, One way-ANOVA, and Pearson's correlation coefficient SPSS/WIN 21.0 programs. Results. Among mobile internet addiction there were significant differences between gender (t=3.40, p<.001), grade (F= 2.31, p<.001), majority field (F=5.34, p=.005), and take exercise (t=3.50, p<.001). This study has shown that mobile internet addiction were associated with sleep quality (r=-.40, p<.001) and anxiety (r=.14, p=.037). In addition, a correlation has been found significant between anxiety, and sleep quality (r=.48, p<.001), and sleep quality has associated with interpersonal relationship (r=-.46, p<.001). Conclusion. In this study, we revealed the observed a meaningful significant correlation between mobile internet addiction, sleep quality and anxiety. Therefore, it is important to emphasize control of mobile internet addiction for university students. The results of this study can be used as a basis on which to develop a mobile internet addiction intervention program.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.242-248
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• 2024

Contemporary societal and environmental transformations coincide with the emergence of novel mental health challenges. anxiety disorder, a chronic and highly debilitating illness, presents with diverse clinical manifestations. Epidemiological investigations indicate a global prevalence of 5%, with an additional 10% exhibiting subclinical symptoms. Notably, 9% of adolescents demonstrate clinical features. Untreated, anxiety disorder exerts profound detrimental effects on individuals, families, and the broader community. Therefore, it is very meaningful to predict anxiety disorder through machine learning algorithm analysis model. The main research content of this paper is the analysis of the prediction model of anxiety disorder by machine learning algorithms. The research purpose of machine learning algorithms is to use computers to simulate human learning activities. It is a method to locate existing knowledge, acquire new knowledge, continuously improve performance, and achieve self-improvement by learning computers. This article analyzes the relevant theories and characteristics of machine learning algorithms and integrates them into anxiety disorder prediction analysis. The final results of the study show that the AUC of the artificial neural network model is the largest, reaching 0.8255, indicating that it is better than the other two models in prediction accuracy. In terms of running time, the time of the three models is less than 1 second, which is within the acceptable range.

• Korean Journal of Clinical Pharmacy
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• v.21 no.2
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• pp.131-137
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• 2011

The purpose of this study was to evaluate the clinical efficacy of a standardized special ethanol extract from Gynostemma pentaphyllum as a management for anxiety and stress of normal population. This is a two-arm, parallelgroup, randomized, double blind clinical trial comparing Gynostemma pentaphyllum extract 200 mg bid (GP-EX, n=48) or placebo bid (n=54). The main outcome measures were the decrease in anxiety sensitivity index (ASI), the State version (S-STAI) of the Stait-Trait Anxiety Inventory (STAI) and the Trait version (T-STAT) of the STAI from baseline over a 6 weeks treatment period. In more anxious group (S-STAI50 or ASI19), the anxiety in group with GP-EX was decreased significantly than one in normal population with placebo [S-STAI50: T-STAI = from $57.7{\pm}6.5$ ($mean{\pm}S.D.$) to $46.8{\pm}11.2$ in normal population with GP-EX, p=0.002 vs. from $54.1{\pm}9.9$ to $49.0{\pm}9.6$ in normal population with placebo, p>0.05; ASI19: T-STAI = from $47.2{\pm}12.0$ to $42.4{\pm}11.1$ in normal population with GP-EX, p=0.022 vs. from $48.7{\pm}11.5$ to $46.0{\pm}10.4$ in normal population with placebo, p>0.05]. The most frequently reported adverse reactions considered possibly related to treatment were mild gastrointestinal events. GP-EX is more effective than placebo and is well tolerated as a therapy for anxiety and stress of normal population.

• Anxiety and mood
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• v.10 no.1
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• pp.17-23
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• 2014

Objective : Panic disorders are frequently accompanied by major depressive disorder (MDD). There is insufficient information about which clinical factors in panic disorder are associated with comorbid MDD. The aim of this study is to identify clinical factors related with comorbid MDD in patients with panic disorder. Methods : Two experienced psychiatrists diagnosed panic disorder based on DSM-IV criteria. This diagnosis in the 275 subjects was confirmed again by Mini-International Neuropsychiatric Interview (MINI). Lifetime comorbid psychiatric diagnoses were examined by MINI. The Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA) and Panic Disorder Severity Scale (PDSS) were used to assess the severity of depressive, anxiety and panic symptoms. Results : The result of MINI showed that 95 patients (34%) with panic disorder satisfied the diagnosis of MDD. Multivariate logistic regression model showed that comorbid generalized anxiety disorder (GAD) and the symptom of "fear of losing control or going crazy" were associated with MDD in patients with panic disorder. In female patients, the "chills or hot flushes" symptom was also associated with comorbid MDD. Conclusion : These results showed that coexisting GAD and certain symptoms of panic are associated with comorbid MDD.

• Journal of Oriental Neuropsychiatry
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• v.28 no.3
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• pp.165-182
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• 2017

Objectives: The purpose of this systematic review was to understand clinical usefulness of Emotional Freedom Techniques (EFT) on students' mental health. Methods: Ten databases were included to extract clinical studies on effects of EFT intervention with students. Characteristics of selected studies were described, and biases were assessed with Risk of Bias (RoB) or Risk of Bias Assessment for Non-Randomized Studies (RoBANS). Results: A total of 14 clinical trials were extracted for analysis. There were 8 randomized-controlled trials (RCTs), 2 non-randomized-controlled trials (nRCTs), and 4 before-after studies. EFT have significant clinical usefulness in public speaking anxiety, test anxiety, stress, depression, learning related emotions, adolescent anxiety, and eating issues. The risk of selection bias in most studies was high or uncertain. Conclusions: EFT is an effective clinical technique for managing students' mental health issues. However, the included studies have been conducted with relatively poor quality and small sample size. Clinical trials with high quality study design and well-designed EFT education programs are needed to generalize clinical usefulness.

• Journal of Dental Anesthesia and Pain Medicine
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• v.21 no.2
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• pp.155-165
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• 2021

Background: This study aimed to assess the course of anxiety and pain during lower third molar (LTMo) surgery and explore the role of mobile and single-channel electroencephalography under clinical and surgical conditions. Methods: The State-Trait Anxiety Inventory (STAI), Corah's Dental Anxiety Scale (DAS), and Interval Scale of Anxiety Response (ISAR) were used. The patient self-rated anxiety (PSA), the pain felt during and after surgery, EEG, heart rate (HR), and blood pressure (BP) were assessed. Results: The Attention (ATT) and Meditation (MED) algorithms and indicators evaluated in this study showed several associations. ATT showed interactions and an association with STAI-S, pain during surgery, PSA level, HR, and surgical duration. MED showed an interaction and association with DAS, STAI-S, and pain due to anesthesia. Preclinical anxiety parameters may influence clinical perceptions and biological parameters during LTMo surgeries. High STAI-Trait and PSA scores were associated with postoperative pain, whereas high STAI-State scores were associated with more pain during anesthesia and surgery, as well as DAS, which was also associated with patient interference during surgery due to anxiety. Conclusions: The findings suggest that single-channel EEG is promising for evaluating brain responses associated with systemic reactions related to anxiety, surgical stress, and pain during oral surgery.