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1.
J Pers Med ; 13(12)2023 Nov 28.
Article in English | MEDLINE | ID: mdl-38138891

ABSTRACT

Circadian rhythm disruptions are a hallmark feature of mood disorders. Patients experiencing acute depressive episodes report noticeable changes in their sleep-wake cycles. This research explains the association between depression and various circadian rhythm metrics, explicitly focusing on adolescents diagnosed with depressive disorders. Adolescence is a critical period marked by significant physiological and psychological changes, making it imperative to understand how mood disorders manifest during this phase. However, there have been minimal specific studies in pediatric populations to determine whether circadian rhythm changes differ between adolescents with first and multiple-recurrent depressive episodes. Our study involved a group of 61 adolescents aged between 13 and 18. We performed a cross-sectional study of a clinical population of patients presenting to a child and adolescent psychiatry clinic diagnosed with depression. Participants were asked to complete self-report evaluations using several tools: the Korean version of the Biological Rhythms Interview of Assessment in Neuropsychiatry (K-BRIAN), the Korean Translation of Composite Scale to Measure Morningness-Eveningness (KtCS), and the Seasonal Pattern Assessment Questionnaire (SPAQ). Tools such as the Children's Depression Inventory (CDI), State-Trait Anxiety Inventory (STAI), and K-Mood Disorder Questionnaire (K-MDQ) were employed for the assessment of clinical characteristics of depression. Based on the frequency of their depressive episodes, participants were bifurcated into two distinct groups: those experiencing their first episode (n = 22, mean age: 15.09 ± 1.44 years) and those with recurrent episodes (n = 39, mean age: 15.95 ± 1.26 years). At first, the two groups' data revealed no significant differences regarding mood or circadian rhythm metrics (CDI: first episode 26.18 ± 10.54 and recurrent episode 25.90 ± 10.59, STAI-S: first episode 56.91 ± 12.12 and recurrent episode 57.49 ± 11.93, STAI-T: first episode 60.36 ± 11.63 and recurrent episode 59.09 ± 12.10, SPAQ-total: first episode 6.59 ± 4.86 and recurrent episode 6.77 ± 5.23, KtCS: first episode 30.32 ± 5.83 and recurrent episode 28.13 ± 7.36). However, we observed significant correlations between circadian rhythm disruptions and depression scales (CDI with SPAQ-weight (r = 0.26), KtCS (r = -0.48), K-BRIAN-sleep (r = 0.58), K-BRIAN-activity (r = 0.64), K-BRIAN-social (r = 0.71), and K-BRIAN-eating (r = 0.40)). These correlations were especially pronounced in the recurrent episode group, suggesting that with the progression and chronicity of depression, the relationship between circadian rhythms and depression becomes more intertwined and evident. In conclusion, especially in adolescents, as the severity and chronicity of depression increase, the interplay between circadian rhythms and mood disorders becomes more pronounced, warranting further research and clinical attention.

2.
BMC Neurosci ; 24(1): 57, 2023 10 31.
Article in English | MEDLINE | ID: mdl-37907857

ABSTRACT

Tic disorder is a neuropsychiatric condition that affects 3% of all children and can have a significant impact on their quality of life. Cytokines, interferons, interleukins, lymphokines, and tumor necrosis factors are involved in the neuroinflammatory circuitry of tic disorders. This study aimed to identify the cytokines involved in the pathogenesis of tic disorders. We enrolled 44 patients with tic disorder and 38 healthy controls. Patients were free of psychotropic medications for at least 3 weeks. Whole blood samples were analyzed using a Luminex® human cytokine multiplex assay kit. Patients were divided into groups with "mild tics" and "above moderate tics" based on Yale Global Tic Severity Scale (YGTSS) scores for comparison. The final analysis included 35 patients (28 male and 7 female) and 31 controls (20 male and 11 female). In the mild tic group, interleukin (IL)-12 p70 negatively correlated with motor tic scores. Granulocyte-macrophage colony-stimulating factor, IL-4, IL-8, and tumor necrosis factor (TNF)-α were positively correlated to phonic tic scores. IL-12 p40 and TNF-α were positively correlated to total tic scores. IL-12 p70 and IL-17a negatively correlated to impairment scores and total YGTSS scores. Tic disorder patients and healthy controls exhibit different cytokine profiles. Only patients with mild symptoms exhibit significant correlations, suggesting that the correlations between cytokine levels and tic symptoms are more relevant during the mild or remission phases. Our results present the importance of IL-1ß and TNF-α, among others, but the identification of key cytokines are still necessary.


Subject(s)
Tic Disorders , Tics , Tourette Syndrome , Child , Humans , Male , Female , Tics/diagnosis , Tourette Syndrome/diagnosis , Tourette Syndrome/psychology , Cytokines , Tumor Necrosis Factor-alpha , Quality of Life , Severity of Illness Index , Tic Disorders/diagnosis , Tic Disorders/psychology
3.
Psychiatry Investig ; 20(10): 946-950, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37899218

ABSTRACT

OBJECTIVE: Clinical rating scales are essential in psychiatry. The Young Mania Rating Scale is the gold standard for assessing mania. However, increased attention to pediatric bipolar disorder has led to the development of the Child Mania Rating Scale (CMRS), which is a parent-reported rating scale designed to assess mania in children and adolescents. This study aimed to translate the CMRS into Korean and assess the validity and reliability of the Korean version of the CMRS (K-CMRS). METHODS: The original English version of the CMRS has been translated into Korean. We enrolled 33 patients with bipolar disorder and 26 patients with attention-deficit hyperactivity disorder (ADHD). All participants were evaluated using the translated K-CMRS, Mood Disorder Questionnaire (MDQ), and ADHD Rating Scale. RESULTS: The Cronbach's α was 0.907. Correlation analyses between K-CMRS and MDQ scores yielded significant positive correlations (r=0.529, p=0.009). However, the factor analysis was unsuccessful. The total K-CMRS scores of bipolar disorder and ADHD patients were compared. However, the differences were not statistically significant. CONCLUSION: The K-CMRS showed good internal consistency and reliability. The correlation between the K-CMRS and MDQ scores verifies its validity. The K-CMRS was designed to assess and score manic symptoms in children and adolescents but had difficulties in differentiating between bipolar disorder and ADHD. It is a valuable tool for evaluating the presence and severity of manic symptoms in pediatric patients with bipolar disorder.

4.
J Affect Disord ; 343: 42-49, 2023 Dec 15.
Article in English | MEDLINE | ID: mdl-37741467

ABSTRACT

BACKGROUND: This study aimed to gather a homogeneous sample of adolescent patients to analyze the differences in functional connectivity and brain network parameters between suicidal and non-suicidal major depressive disorder (MDD) patients using a data-driven whole-brain approach. METHODS: Patients recruited at the psychiatry department of Korea University Guro Hospital from November 2014 to March 2020 were diagnosed with MDD, were 13-18 years old, had IQ scores >80, had no family history of psychotic or personality disorders, had no smoking or alcohol consumption history, and were drug-naïve to psychotropic medication. Depressive symptoms were assessed using the Hamilton Depression Rating Scale and the Children's Depression Inventory. Structural and functional MRI scans were conducted and analyzed using the CONN toolbox. RESULTS: Of 74 enrolled patients, 62 were analyzed. Regions of interest (ROIs) showing higher betweenness centrality in non-suicidal patients were the left superior temporal gyrus and left supramarginal gyrus. ROIs showing higher betweenness centrality in suicidal patients were the right hippocampus, left intracalcarine cortex, right inferior temporal gyrus, and the lateral visual network. Suicidal patients also showed different resting state functional connectivity profiles from non-suicidal patients. LIMITATIONS: Small sample size. CONCLUSION: Suicidal patients may overthink and overvalue future risks while having a more negatively biased autobiographical memory. Social cognition and the ability to overcome egocentricity bias seem to weaken. Such features can disrupt cognitive recovery and resilience, leading to more suicidal behaviors. Therefore, increased suicidality is not acquired, but is an innate trait.

5.
Soa Chongsonyon Chongsin Uihak ; 34(2): 63-68, 2023 Apr 01.
Article in English | MEDLINE | ID: mdl-37035795

ABSTRACT

Objectives: The coronavirus disease (COVID-19) pandemic has had various effects on mankind, especially children and adolescents. Because children and adolescents spend a lot of time at school, COVID-19 has had a great impact on school mental health. In this study, we investigated the effect of prolonged COVID-19 on school mental health. Methods: We prepared self-report questionnaires for depression (Children's Depression Inventory, CDI), anxiety (Korean version of the Penn State Worry Questionnaire for Children; Generalized Anxiety Disorder-7, GAD-7), and post-traumatic stress (Primary Care Post-traumatic Stress Disorder, PC-PTSD) for administering to students aged between 7 and 18 years, recruited by a COVID-19 psychological prevention support group in the Gwangmyeong Mental Health Welfare Center for 2 years, in 2020 and 2021. Results: For children aged 7-12 years, there was no significant difference between the years 2020 and 2021 in the assessment of depression, anxiety, and post-traumatic stress. Conversely, for adolescents aged 13-18 years, there was a significant increase in the scale scores (CDI, PC-PTSD, and GAD-7). Conclusion: Prolonged COVID-19 might have had a significant impact on the mental health of adolescents who spent a lot of time at school. When comparing the years 2020 and 2021, middle and high school students were more affected by COVID-19 than elementary school students.

6.
Appl Psychophysiol Biofeedback ; 46(1): 11-18, 2021 03.
Article in English | MEDLINE | ID: mdl-33074464

ABSTRACT

North Korean Defectors (NKDs) are known to experience multiple psychological symptoms such depression and anxiety. Heart rate variability (HRV) has been implicated in various psychiatric disorders, including posttraumatic stress disorder (PTSD) and depression. No studies have prospectively evaluated HRV parameters in NKDs. We recruited 34 NKDs (2 men, 32 women; age range 25-58 years) who were diagnosed with major depressive disorder. We evaluated psychiatric symptoms using the Korean version of the Hamilton Depression Rating Scale (HDRS), Montgomery-Asberg Depression Rating Scale, and PTSD checklist civilian version. We also performed HRV measurements before and after 12 weeks of antidepressant treatment. In the baseline, HDRS item 14 and 15 showed statistically significant positive correlation with LF/HF ratio. At the endpoint, HDRS item 5 and 8 were found to have positive correlations with some HRV parameters. We found that the sum of fatigue-related HDRS symptoms scores (number 7 and 13) showed significant positive correlation with LF. HDRS total scores also showed significant positive correlations with LF and HF. When the severity of depression was decreased and only the PTSD symptoms persisted at the endpoint, the relationships between HRV and clinical measures were more clearly revealed. This study shows the possibility of using HRV as an objective neurobiological index of autonomic nervous system disorder and reaction to stress in NKDs.


Subject(s)
Antidepressive Agents/therapeutic use , Brief Psychiatric Rating Scale , Depressive Disorder, Major , Heart Rate/physiology , Refugees/psychology , Adult , Democratic People's Republic of Korea , Depressive Disorder, Major/drug therapy , Depressive Disorder, Major/psychology , Female , Humans , Male , Middle Aged , Prospective Studies , Stress Disorders, Post-Traumatic
7.
Patient Prefer Adherence ; 14: 1065-1072, 2020.
Article in English | MEDLINE | ID: mdl-32606621

ABSTRACT

PURPOSE: Adolescent depression can have a chronic course; hence, the importance of adherence to antidepressant medication for successful treatment outcomes is emphasized. This study aimed to examine different adherence measures and identify clinical factors that influence adherence in adolescent depression. PATIENTS AND METHODS: A prospective study was conducted for patients diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition from outpatient psychiatric settings at Korea University Medical Center, Guro Hospital. Patient demographics were obtained from a questionnaire, interview, and review of chart records. Adherence was assessed by four methods (Medication Event Monitoring System [MEMS], pill count, clinical rating scale, and patient's self-report). The Toronto Side Effect Scale was used to evaluate side effects, and specific depressive symptoms were assessed using the Hamilton Rating Scale for Depression and Childhood Depression Inventory-Korean version. The Multidimensional Scale of Perceived Social Support was administered to analyze social support, and the Parenting Stress Index-Short Form was used to evaluate parental stress levels. We used concordance correlation analysis to evaluate the relationship among the four adherence measures and the relationship between adherence level and clinical factors. RESULTS: Overall, the study enrolled 48 outpatients (mean age 16.33±1.93 years). The mean duration of illness was 1.27±2.17 years. Adherence rates for MEMS, clinician rating scale, pill count, and self-report after conversion to dichotomous measures were 67.5%, 48.9%, 60.0%, and 56.3%, respectively. Only the duration of illness remained significantly correlated with MEMS (r = 0.510, p =0.001). CONCLUSION: Pill count exhibited a higher degree of agreement with MEMS adherence than the other two adherence measures, possibly indicating that pill count may be a considerably reliable measure of adherence. Furthermore, MEMS adherence was positively correlated with disease duration, suggesting that the longer the duration of illness, the higher the adherence.

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