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Background@#Understanding adolescents’ mental health during the coronavirus disease 2019 (COVID-19) pandemic and identifying those most at risk is an urgent public health challenge.This study explored the trend of suicide attempts and the association between loneliness, family financial stress, and suicide attempts during the COVID-19 pandemic among adolescents. @*Methods@#Data of the 2020 to 2022 Korea Youth Risk Behavior Surveys for adolescents aged 13–18 years were used. Multivariate logistic regression analyses were performed to examine the association between suicide attempts, family financial stress, and loneliness during the COVID-19 pandemic. @*Results@#The trend of suicide attempt rates was lowest in 2020 (1.9%, 1,034 out of 53,534) and it showed an increasing trend with rates of 2.2% (1,159 out of 53,445) in 2021 and 2.5% (1,271 out of 50,455) in 2022. The risk of suicide attempt was higher among adolescents who experienced financial stress (in 2020: adjusted odds ratio [AOR], 1.53, 95% confidence interval [CI], 1.26–1.88; in 2021: AOR, 1.63, 95% CI, 1.03–1.54) and felt lonely (in 2020: AOR, 2.19, 95% CI, 1.78–2.70; in 2021: AOR, 2.65, 95% CI, 2.16–3.26; in 2022: AOR, 1.3, 95% CI, 1.04–1.55) than those who did not. @*Conclusion@#The COVID-19 pandemic affected the suicide attempts of adolescents, with financial stress and feelings of loneliness closely linked to this impact. Although the pandemic nears its end, the persistent risk of suicide attempts among adolescents remains a concern. Therefore, it is imperative to implement targeted screening and interventions to address adolescent suicide risk.
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Objective@#The objective of this study is to compare the psychosocial characteristics of functional dyspepsia (FD) with its subgroups, epigastric pain syndrome (EPS) and postprandial distress syndrome (PDS), against a healthy control group, and to investigate the quality of life (QoL). @*Methods@#All of the subjects were 210 adults, 131 patients with FD were diagnosed by gastroenterologist and 79 adults with no observable symptoms of FD were selected as the normal control group. Demographic factors were investigated. The Korean-Beck Depression Inventory-II, Korean-Beck Anxiety Inventory, Korean-Childhood Trauma Questionnaire, Multidimensional Scale of Perceived Social Support, Connor-Davidson Resilience Scale, and WHO Quality of Life Assessment Instrument Brief Form were used to assess psychological factors. A one-way analysis of variance was used to compare differences among the groups. Further, a stepwise regression analysis was conducted to determine factors affecting the QoL of the FD group. @*Results@#Between-group differences in demographic characteristics were not significant. Depression (F=37.166, p<0.001), anxiety (F=30.261, p<0.001), and childhood trauma (F=6.591, p<0.01) were all significantly higher in FD group compared to the normal control. Among FD subgroups, EPS exhibited higher levels of both depression and anxiety than PDS. Social support (F=17.673, p<0.001) and resilience (F=8.425, p<0.001) were significantly lower in FD group than in other groups, and the values were higher in PDS than in EPS. Resilience (β=0.328, p<0.001) was the most important explanatory variable. The explained variance was 46.6%. @*Conclusion@#Significantly more symptoms of depression, anxiety, childhood trauma was observed for both FD sub-group. These groups also had less social support, resilience, and QoL than the control groups.
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Objective@#Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children and adults characterized by cognitive and emotional self-control deficiencies. Previous functional near-infrared spectroscopy (fNIRS) studies found significant group differences between ADHD children and healthy controls during cognitive flexibility tasks in several brain regions. This study aims to apply a machine learning approach to identify medication-naive ADHD patients and healthy control (HC) groups using task-based fNIRS data. @*Methods@#fNIRS signals from 33 ADHD children and 39 HC during the Stroop task were analyzed. In addition, regularized linear discriminant analysis (RLDA) was used to identify ADHD individuals from healthy controls, and classification performance was evaluated. @*Results@#We found that participants can be correctly classified in RLDA leave-one-out cross validation, with a sensitivity of 0.67, specificity of 0.93, and accuracy of 0.82. @*Conclusion@#RLDA using only fNIRS data can effectively discriminate children with ADHD from HC. This study suggests the potential utility of the fNIRS signal as a diagnostic biomarker for ADHD children.
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Objective@#The spread of Coronavirus disease 2019 (COVID-19) has acted as a significant stressor among individuals, causing a variety of psychological problems. The purpose of this study is to determine the level of stress caused by COVID-19 by translating and validating the Pandemic Stress Questionnaire (PSQ) in Korean, which measures stressful event caused by COVID-19. @*Methods@#A statistical analysis was performed on 167 participants. The scale’s internal consistency was verified using Cronbach’s α. Furthermore, a correlation analysis was carried out to examine the relationships between Perceived Stress Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder Questionnaire-7, Patient Health Questionnaire-15, and World Health Organization Quality of Life Assessment Instrument Brief Form. Lastly, a multiple regression analysis was performed to determine the effect of pandemic-related stressful events on depression, anxiety, and somatic symptoms. @*Results@#Cronbach’s α for Korean version of PSQ (K-PSQ) Severity was 0.79, and that for K-PSQ Event was 0.78. The results of the multiple regression analysis revealed that pandemic stress events have an effect on anxiety and somatic symptoms. @*Conclusion@#The K-PSQ is a tool in which individuals can simultaneously measure the occurrence of stressful events caused by COVID-19 and the severity of stress that is often experienced as a result. It is expected that this tool will be useful in the mental health field for measuring COVID-19-related stress.
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Objective@#This study involved a meta-analysis of South Korean studies regarding psychosocial interventions for patients with breast cancer to provide basic data to support the development of an integrated healthcare service model. @*Methods@#Randomized controlled studies with a pretest-posttest design were selected, and those presenting means, standard deviations, and standardized mean differences were included. For quality evaluation and heterogeneity testing, the Jadad scale and the Q-value and I 2 were used. To estimate the effect size of each study, Hedge’s g was used. Publication bias was analyzed with the Funnel plot and Egger’s regression test. @*Results@#Of the 28 studies selected for the, meta-analysis was performed on eight. The total number of datasets included in the meta-analysis was 33. The evaluation based on the Jadad scale revealed no significant inter-rater variation (p = 0.35). The mean number of sessions was 7.93 and the mean intervention time was 13.2 hours. The interventions were mostly administered in a group structure (94%) and, regarding the type, they were categorized as integrated (36.4%), cognitive (30.3%), and meditation (24.2%). The mean effect size was 1.21 against no treatment group. @*Conclusion@#The analyzed studies showed heterogeneity, with a corresponding asymmetry found on the Funnel plot. Despite the heterogeneity and publication bias, the mean effect size was significantly large. Cognitive interventions, meditation, and psychological education programs are expected to assist in reducing negative emotions and enhancing quality of life in patients with breast cancer.
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The objective of this study was to compare recommendations of the Korean Medication Algorithm Project for Bipolar Disorder 2022 (KMAP-BP 2022) with other recently published guidelines for treating bipolar disorder. We reviewed a total of six recently published global treatment guidelines and compared treatment recommendation of the KMAP-BP 2022 with those of other guidelines. For initial treatment of mania, there were no significant differences across treatment guidelines. All guidelines recommended mood stabilizer (MS) or atypical antipsychotic (AAP) monotherapy or a combination of an MS with an AAP as a first-line treatment strategy in a same degree for mania. However, the KMAP-BP 2022 recommended MS + AAP combination therapy for psychotic mania, mixed mania and psychotic depression as treatment of choice. Aripiprazole, quetiapine and olanzapine were the first-line AAPs for nearly all phases of bipolar disorder across guidelines. Some guideline suggested olanzapine is a second-line options during maintenance treatment, related to concern about long-term tolerability. Most guidelines advocated newer AAPs (asenapine, cariprazine, long-acting injectable risperidone, and aripiprazole once monthly) as first-line treatment options for all phases while lamotrigine was recommended for depressive and maintenance phases. Lithium and valproic acid were commonly used as MSs in all phases of bipolar disorder. KMAP-BP 2022 guidelines were similar to other guidelines, reflecting current changes in prescription patterns for bipolar disorder based on accumulated research data. Strong preference for combination therapy was characteristic of KMAP-BP 2022, predominantly in the treatment of psychotic mania, mixed mania and psychotic depression.
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Objectives@#Treatment guidelines or an algorithm can help clinicians implement better practices and clinical decisions. Therefore, the Korean Medication Algorithm Project for Bipolar Disorder 2022 (KMAP-BP 2022) was revised again through a consensus of expert opinion. The diagnosis and treatment of mixed features are not simple, and there are many things to discuss. We describe the preferences and recommendations from KMAP-BP 2022 for the treatment of mood episodes with mixed features. @*Methods@#We revised the KMAP-BP 2018 questionnaire and conducted the survey with expert clinicians. Out of ninety-three members of the review committee, eighty-seven completed the survey. We analyzed the answers, discussed the data, and held a clinician hearing. @*Results@#In first-step strategies for mixed features with more manic symptoms, a combination of a mood stabilizer and an atypical antipsychotic is the treatment of choice. Mood stabilizer monotherapy and atypical antipsychotic monotherapy are preferred strategies. For mixed features with more depressive symptoms, a combination of mood stabilizer and atypical antipsychotic, a combination of atypical antipsychotic and lamotrigine (LMT), atypical antipsychotic monotherapy, a combination of mood stabilizer and LMT, and mood stabilizer monotherapy are preferred. For mixed features with similar manic symptoms and depressive symptoms, a combination of mood stabilizer and atypical antipsychotic, atypical antipsychotic monotherapy, and mood stabilizer monotherapy are preferred. @*Conclusion@#For mixed features, a combination of mood stabilizer and atypical antipsychotic is generally preferred, and LMT is preferred for depressive symptoms. Compared with KMAP-BP 2018, more diverse strategies and drugs are being attempted for the treatment of mixed features.
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Objectives@#After the Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) was developed in 2002, its fifth revision was completed in 2022 to reflect the recent rapid developments and research into bipolar disorder and its psychopharmacology. @*Methods@#According to the methodology for previous versions, the depressive episode section of KMAP-BP 2022 was revised based on a survey consisting of 11 questions. Among ninetythree experts, eighty-seven members of the review committee (93.5%) completed the survey.The executive committee analyzed the results and discussed the final production of an algorithm by considering the scientific evidence. @*Results@#Overall, the results from this study showed little change in comparison with previous versions of KMAP-BP. However, there have been significant changes in recommendations over the span of about 20 years. The preferences for lamotrigine and atypical antipsychotics, especially aripiprazole, quetiapine, and olanzapine, have shown a tendency to continuously increase, but the preferences for risperidone and ziprasidone have not increased, but have decreased. Moreover, the preference for typical antipsychotics has significantly decreased. Additionally, concerns over the use of antidepressants in bipolar depression have been raised, and their use is not recommended in KMAP-BP 2022 as a first-line treatment. @*Conclusion@#Pharmacotherapy for acute depressive episodes with various clinical progressions and various subtypes still shows diversity, compared to pharmacotherapy for mania. We look forward to the development of bipolar depressive, episode-specific therapeutic drugs in the future, and hope the fifth update of KMAP-BP will be a complementary option for clinicians and their patients with bipolar disorder.
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Objectives@#The Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) is a consensus-based medication guideline. To reflect advances in pharmacotherapy for bipolar disorders, we updated KMAP-BP to provide more timely information for clinicians. @*Methods@#We conducted a survey using a questionnaire on treatments formanic/hypomanic episodes. Eighty-seven members among ninety-three members of the review committee (93.5%) completed the survey. Each treatment strategy or treatment option for manic/hypomanic episodes was evaluated with an overall score of 9, and the resulting 95% confidence interval treatment options were categorized into three recommendation levels (primary, secondary, and tertiary). The executive committee analyzed the results and discussed the final production of an algorithm by considering the scientific evidence. @*Results@#The combination of a mood stabilizer and an atypical antipsychotic, monotherapy with a mood stabilizer, or monotherapy with an atypical antipsychotic were recommended as the firstline pharmacotherapeutic strategy for the initial treatment of mania without psychotic features. The mood stabilizer and atypical antipsychotic combination was the treatment of choice, and atypical antipsychotic monotherapy was the first-line treatment for mania with psychotic features. When initial treatment fails, a combination of mood stabilizer+atypical antipsychotic and switching to another first-line agent is recommended. For hypomania, monotherapy with either mood stabilizer or atypical antipsychotic is the recommended first-line treatment, but the mood stabilizer+atypical antipsychotic combination is recommended as well. @*Conclusion@#It is notable that there were changes in the preferences for the use of individual atypical antipsychotics, and the preference for the use of mood stabilizer increased for treatment-resistant mania.
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Objectives@#The pharmacotherapy of bipolar disorder is complex. A treatment guideline or algorithm can help clinicians implement better practices and clinical decisions. Therefore, the Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) was revised through expert consensus on pharmacotherapy for bipolar disorder. @*Methods@#We revised the KMAP-BP 2018 questionnaire and conducted a survey of expert clinicians. Out of ninety-three members of the review committee, eighty-seven completed the survey. We analyzed the answers, discussed the data, and held a clinician hearing. Here, we report the results from KMAP-BP 2022. @*Results@#The preferred first-step strategies for acute euphoric mania are a combination of a mood stabilizer (MS) and an atypical antipsychotic (AAP), MS monotherapy, and AAP monotherapy. For psychotic mania, an MS and AAP combination, and AAP monotherapy are preferred. For hypomania, MS monotherapy and AAP monotherapy are preferred. The first-step strategies for mild to moderate bipolar depression are MS monotherapy, lamotrigine (LMT) monotherapy, AAP monotherapy, an MS+AAP combination, and an AAP+LMT combination. For non-psychotic severe depression, the MS+AAP combination, the AAP+LMT combination, and the MS+LMT combination are preferred. For psychotic severe depression, MS+AAP and AAP+LMT are preferred. @*Conclusion@#We obtained expert consensus and developed KMAP-BP 2022. Compared with KMAP-BP 2018, we can figure out clinicians’ preferences and decisions in real clinical situations more clearly. The preference for AAP increased, and that of MS and an antidepressant decreased. We hope KMAP-BP 2022 is helpful for clinicians who treat patients with bipolar disorder.
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Objective@#The aim of this study was to assess the psychosocial characteristics of the employees working at a university hospital and investigated the factors affecting their quality of life (QOL) under COVID-19. @*Methods@#This study enrolled 1,191 healthcare workers from a university hospital, including doctors, nurses, administrative officer and technicians. Besides demographic information, depression, anxiety, somatization, insomnia, resilience, and QOL were assessed. @*Results@#The nurses presented significantly higher scores for anxiety, depression and showed significantly higher insomnia scores and significantly lower resilience scores. The occupations showed significant differences in the QOL and sub-groups, including the overall quality of life and general health (F=4.774, p<0.001), psychological domain (F=6.230, p<0.001), and environment domain (F=5.254, p<0.001). There was a positive correlation between the QOL and resilience (r=0.608, p<0.01). However, depression (r=-0.502, p<0.01), anxiety (r=-0.425, p<0.01), somatization (r=-0.364, p<0.01), and insomnia (r=-0.385, p<0.01) showed negative correlations with the QOL. Resilience was the most important factor influencing the QOL. @*Conclusion@#The results of this study showed that low resilience adversely affected the QOL and the mental health of the healthcare workers, which consequently had a direct effect on the quality of medical care given to patients.
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OBJECTIVE@#To investigate the molecular mechanism underlying the anti-hepatic fibrosis activity of ethyl acetate fraction Dicliptera chinensis (L.) Juss. (EDC) in human hepatic stellate cells (HSCs) in vitro and in a carbon tetrachloride (CCl4)-induced hepatic fibrosis mouse model in vivo.@*METHODS@#For in vitro study, HSCs were pre-treated with platelet-derived growth factor (10 ng/mL) for 2 h to ensure activation and treated with EDC for 24 h and 48 h, respectively. The effect of EDC on HSCs was assessed using cell counting kit-8 assay, EdU staining, transmission electron microscopy, immunofluorescence staining, and Western blot, respectively. For in vivo experiments, mice were intraperitoneally injected with CCl4 (2 ° L/g, adjusted to a 25% concentration in olive oil), 3 times per week for 6 weeks, to develop a hepatic fibrosis model. Forty 8-week-old male C57BL/6 mice were divided into 4 groups using a random number table (n=10), including control, model, positive control and EDC treatment groups. Mice in the EDC and colchicine groups were intragastrically administered EDC (0.5 g/kg) or colchicine (0.2 mg/kg) once per day for 6 weeks. Mice in the control and model groups received an equal volume of saline. Biochemical assays and histological examinations were used to assess liver damage. Protein expression levels of α -smooth muscle actin (α -SMA) and microtubule-associated protein light chain 3B (LC3B) were measured by Western blot.@*RESULTS@#EDC reduced pathological damage associated with liver fibrosis, downregulated the expression of α -SMA and upregulated the expression of LC3B (P<0.05), both in HSCs and the CCl4-induced liver fibrosis mouse model. The intervention of bafilomycin A1 and rapamycin in HSCs strongly supported the notion that inhibition of autophagy enhanced α -SMA protein expression levels (P<0.01). The results also found that the levels of phosphoinositide (PI3K), p-PI3K, AKT, p-AKT, mammalian target of rapamycin (mTOR), p-mTOR, and p-p70S6K all decreased after EDC treatment (P<0.05).@*CONCLUSIONS@#EDC has anti-hepatic fibrosis activity by inducing autophagy and might be a potential drug to be further developed for human liver fibrosis therapy.
Sujets)
Animaux , Mâle , Souris , Acétates , Autophagie , Tétrachloro-méthane , Cellules étoilées du foie , Foie/anatomopathologie , Cirrhose du foie/anatomopathologie , Souris de lignée C57BL , Phosphatidylinositol 3-kinases , Protéines proto-oncogènes c-akt/métabolisme , Ribosomal Protein S6 Kinases, 70-kDa , Transduction du signal , Sérine-thréonine kinases TOR/métabolismeRésumé
Objectives@#: This study aimed to assess the possible association of dental pain with suicidal ideation among adolescents by analysing data from the 2018 Korean Youth Risk Behavior Survey, a nationwide online survey. @*Methods@#: Of 62,823 adolescent middle and high school students in Korea, 60,040 participants were selected for analysis, after excluding cases with missing values. Participants were given a questionnaire about their self-evaluation of health including dental pain and suicidal ideation. Logistic regression analysis demonstrated the relationships between dental pain and suicidal ideation after controlling for potential confounding factors. @*Results@#: The proportion of Korean adolescents reporting suicidal ideation was 13.3%. The proportion of adolescents who experienced dental pain was 23.4%. Compared to adolescents who did not report dental pain, adolescents who reported experiencing dental pain were significantly more likely to experience suicidal ideation (OR=1.94, p<0.001). In two multivariate models, the relationships between dental pain and suicidal ideation (AOR=1.24, p<0.001) were statistically significant. @*Conclusions@#: Dental pain was associated with increased risk of suicidal ideation among Korean adolescents, even when controlling for sociodemographic factors and other health conditions. It is necessary to consider screening adolescent patients who present with dental pain for suicidal ideation.
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Background@#The purpose of this study was to identify the characteristics of dry mouth and gastrointestinal (GI) disorders in antidepressant patients. @*Methods@#The study included 103 antidepressant-taking patients. Antidepressants were classified according to their mode of action. The GI disorders were investigated using the medical records of the patients. The Patient Health Questionnaire-15 and a questionnaire for assessing dry mouth symptoms were used in this study. @*Results@#The score for “overall discomfort due to dry mouth in daily life” (31.72±33.82), “dry mouth at night or in the morning” (47.86±35.87), and “dry mouth during the day” (39.83±31.67) were slightly higher than “discomfort in chewing or swallowing foods”. According to somatization severity, the mean values were 116.36±113.34 in the mild, 213.18±136.98 in the moderate, and 277.59±201.44 in the severe, the between-group difference was significant (F=10.294, p<0.001). According to the class of antidepressants, the mean score was 180.00±147.5 for vortioxetine, 194.25±169.33 for selective serotonin reuptake inhibitors (SSRIs), 223.61±156.70 for serotonin and norepinephrine reuptake inhibitors (SNRIs), 75.00±57.00 for norepinephrine dopamine reuptake inhibitors (NDRIs), 201.67±174.66 for Nassau, and 116.67±132.03 for agomelatine. A total of 67 (65.0%) patients had at least one GI disorder. @*Conclusion@#The study findings are expected to help increase medication compliance in antidepressant patients by better controlling the side effects experienced by the patients.
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Blood valproic acid levels were decreased in patients with traumatic brain injury who had been using valproic acid to control irritability and aggression, and the symptoms worsened coincident with the administration of meropenem, a carbapenem-based antibiotic. Two weeks after the discontinuation of meropenem, valproic acid levels were restored to an effective therapeutic concentration. Therefore, when valproic acid and carbapenem-based antibiotics are used together, blood valproic acid levels may decrease due to drug interaction, and irritability symptoms may worsen. Thus, close monitoring of serum valproic acid levels is required.
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Objective@#Underconnectivity in the resting brain is not consistent in autism spectrum disorder (ASD). However, it is known that the functional connectivity of the default mode network is mainly decreased in childhood ASD. This study investigated the brain network topology as the changes in the connection strength and network efficiency in childhood ASD, including the early developmental stages. @*Methods@#In this study, 31 ASD children aged 2–11 years were compared with 31 age and sex-matched children showing typical development. We explored the functional connectivity based on graph filtration by assessing the single linkage distance and global and nodal efficiencies using resting-state functional magnetic resonance imaging. The relationship between functional connectivity and clinical scores was also analyzed. @*Results@#Underconnectivities within the posterior default mode network subregions and between the inferior parietal lobule and inferior frontal/superior temporal regions were observed in the ASD group. These areas significantly correlated with the clinical phenotypes. The global, local, and nodal network efficiencies were lower in children with ASD than in those with typical development. In the preschool-age children (2–6 years) with ASD, the anterior-posterior connectivity of the default mode network and cerebellar connectivity were reduced. @*Conclusion@#The observed topological reorganization, underconnectivity, and disrupted efficiency in the default mode network subregions and social function-related regions could be significant biomarkers of childhood ASD.
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The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) first was published in 2002, and has been revised four times, in 2006, 2012, 2017, and 2021. In this review, we compared recommendations from the recently revised KMAP-DD 2021 to four global clinical practice guidelines (CPGs) for depression published after 2010. The recommendations from the KMAP-DD 2021 were similar to those from other CPGs, although there were some differences. The KMAP-DD 2021 reflected social culture and the healthcare system in Korea and recent evidence about pharmacotherapy for depression, as did other recently published evidence-based guidelines. Despite some intrinsic limitations as an expert consensus-based guideline, the KMAP-DD 2021 can be helpful for Korean psychiatrists making decisions in clinical settings by complementing previously published evidence-based guidelines, especially for some clinical situations lacking evidence from rigorously designed clinical trials.
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Objectives@#The Korean Medication Algorithm Project for Depressive Disorder 2021 (KMAP-DD 2021) was a revision of previous works. The main purpose of the current study was to amend guidelines for the treatment of a major depressive disorder (MDD) for children and adolescents. @*Methods@#The survey consisted of 21 questionnaires for children and adolescents. A total of 33 of the 46 experts in child and adolescent psychiatry answered the survey. @*Results@#Antidepressant (AD) monotherapy was selected as the 1st line option for MDD with mild to moderate severity. As the 1st line of treatment for MDD severe without psychotic features in children and adolescents, AD monotherapy and AD augmented with atypical antipsychotics (AAP) were recommended. For MDD with psychotic features, AD augmented with AAP was preferred as the 1st line of treatment. @*Conclusion@#We developed an algorithm for child and adolescent populations with depressive disorders, more specifically than the KMAP-DD 2017. We expect this algorithm will provide clinicians useful information and help in the treatment of children and adolescents with depressive disorders.
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Objective@#Coronavirus disease 2019 (COVID-19) has psychological effects such as anxiety and depression as well as direct infection in people. The Fear of COVID-19 scale is a scale that can measure anxiety related to COVID-19 in a short time. The purpose of this study was to verify the reliability and validity the Korean version of Fear of COVID-19 scale (KF-COVID-19S). @*Methods@#The data of total 186 normal adults and 17 patients were finally used for the statistical analysis. For internal consistency, Cronbach’s α was calculated. For concurrent and discriminant validity, the correlations with the Hospital Anxiety and Depression scale (HADS), Patient Health Questionnaire-15 (PHQ-15), World Health Organization Quality of Life Assessment Instrument Brief Form (WHOQOLBREF) were analyzed. For construct validity, exploratory and confirmatory factor analysis were conducted. @*Results@#Cronbach alpha was 0.88. The two-factor model (factor 1: Physical fear, factor 2: Emotional fear) showed significantly positive correlations and appeared to be “good” fitness (CFI=0.906, IFI=0.907, NFI=0.902). @*Conclusion@#The KF-COVID-19S can be a useful scale that can measure the physical and emotional fears associated with COVID-19 in a short time. Because the psychiatric patients are a more vulnerable group to the fear, it is thought that the KF-COVID-19S will help to determine the patient’s level of anxiety and make a therapeutic plan for the underlying mental disorder.
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Objectives@#The Korean Medication Algorithm Project for Depressive Disorder 2021 (KMAP-DD 2021) was a revision of previous works. The main purpose of the current study was to amend guidelines for the treatment of a major depressive disorder (MDD) for children and adolescents. @*Methods@#The survey consisted of 21 questionnaires for children and adolescents. A total of 33 of the 46 experts in child and adolescent psychiatry answered the survey. @*Results@#Antidepressant (AD) monotherapy was selected as the 1st line option for MDD with mild to moderate severity. As the 1st line of treatment for MDD severe without psychotic features in children and adolescents, AD monotherapy and AD augmented with atypical antipsychotics (AAP) were recommended. For MDD with psychotic features, AD augmented with AAP was preferred as the 1st line of treatment. @*Conclusion@#We developed an algorithm for child and adolescent populations with depressive disorders, more specifically than the KMAP-DD 2017. We expect this algorithm will provide clinicians useful information and help in the treatment of children and adolescents with depressive disorders.