Nilifer Gürbüzer, Mustafa Can Güler, I·brahim Hakkı Tör
Objective Methamphetamine use disorder (MUD) is a global health condition that impairs a person’s health which may result in morbidity and mortality. Inflammation is a crucial process playing a vital role in MUD. For this reason, it is necessary to examine biochemical parameters for follow-up and treatment alternatives.Methods We aimed to reveal the relationship between inflammatory response and MUD by evaluating peripheral hemogram parameters, leukocyte count, subtypes, and their ratios to each other, systemic immune inflammation index (SII), monocyte/high-density lipoprotein (HDL) ratio, and human C-reactive protein (CRP) in adult men with MUD. We included 76 adult male participants in the patient group and 70 adult male participants in the control group. We calculated the neutrophil/lymphocyte rate (NLR), monocyte/lymphocyte rate (MLR), platelet/lymphocyte rate (PLR), and basophil/lymphocyte rate (BLR). In addition, we obtained the SII and the monocyte/HDL rate.Results The patients’ leukocyte (p<0.001), platelet (p<0.001), plateletcrit (PCT) (p=0.002), neutrophil (p<0.001), monocyte (p=0.002), CRP (p<0.001), NLR (p=0.001), PLR (p=0.004), MLR (p=0.009), SII (p<0.001) and monocyte/HDL ratio (p<0.001) were higher than the control group. We observed a significant and positive relationship between the daily methamphetamine intake, and methamphetamine use duration (p=0.002), PCT (p=0.044), neutrophil (p=0.021), NLR (p=0.001), PLR (p=0.004), MLR (p=0.029), and SII (p<0.001). Daily methamphetamine intake had a significant and positive effect on SII. A one-unit increase in daily methamphetamine intake elevated SII by 165.53 units.Conclusion The results confirm the presence of peripheral subclinical inflammation and systemic immune inflammation in adult men with MUD.
{"title":"Methamphetamine Use Disorder and Inflammation: A Case-Control Study","authors":"Nilifer Gürbüzer, Mustafa Can Güler, I·brahim Hakkı Tör","doi":"10.30773/pi.2023.0199","DOIUrl":"https://doi.org/10.30773/pi.2023.0199","url":null,"abstract":"Objective Methamphetamine use disorder (MUD) is a global health condition that impairs a person’s health which may result in morbidity and mortality. Inflammation is a crucial process playing a vital role in MUD. For this reason, it is necessary to examine biochemical parameters for follow-up and treatment alternatives.Methods We aimed to reveal the relationship between inflammatory response and MUD by evaluating peripheral hemogram parameters, leukocyte count, subtypes, and their ratios to each other, systemic immune inflammation index (SII), monocyte/high-density lipoprotein (HDL) ratio, and human C-reactive protein (CRP) in adult men with MUD. We included 76 adult male participants in the patient group and 70 adult male participants in the control group. We calculated the neutrophil/lymphocyte rate (NLR), monocyte/lymphocyte rate (MLR), platelet/lymphocyte rate (PLR), and basophil/lymphocyte rate (BLR). In addition, we obtained the SII and the monocyte/HDL rate.Results The patients’ leukocyte (p<0.001), platelet (p<0.001), plateletcrit (PCT) (p=0.002), neutrophil (p<0.001), monocyte (p=0.002), CRP (p<0.001), NLR (p=0.001), PLR (p=0.004), MLR (p=0.009), SII (p<0.001) and monocyte/HDL ratio (p<0.001) were higher than the control group. We observed a significant and positive relationship between the daily methamphetamine intake, and methamphetamine use duration (p=0.002), PCT (p=0.044), neutrophil (p=0.021), NLR (p=0.001), PLR (p=0.004), MLR (p=0.029), and SII (p<0.001). Daily methamphetamine intake had a significant and positive effect on SII. A one-unit increase in daily methamphetamine intake elevated SII by 165.53 units.Conclusion The results confirm the presence of peripheral subclinical inflammation and systemic immune inflammation in adult men with MUD.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sang Ho Hwang, Y. Yu, Jichul Kim, Taeyeop Lee, Y. Park, Hyo-Won Kim
Objective Early detection and intervention of developmental disabilities (DDs) are critical to improving the long-term outcomes of afflicted children. In this study, our objective was to utilize facial landmark features from mobile application to distinguish between children with DDs and typically developing (TD) children.Methods The present study recruited 89 children, including 33 diagnosed with DD, and 56 TD children. The aim was to examine the effectiveness of a deep learning classification model using facial video collected from children through mobile-based application. The study participants underwent comprehensive developmental assessments, which included the child completion of the Korean Psychoeducational Profile-Revised and caregiver completing the Korean versions of Vineland Adaptive Behavior Scale, Korean version of the Childhood Autism Rating Scale, Social Responsiveness Scale, and Child Behavior Checklist. We extracted facial landmarks from recorded videos using mobile application and performed DDs classification using long short-term memory with stratified 5-fold cross-validation.Results The classification model shows an average accuracy of 0.88 (range: 0.78–1.00), an average precision of 0.91 (range: 0.75–1.00), and an average F1-score of 0.80 (range: 0.60–1.00). Upon interpreting prediction results using SHapley Additive exPlanations (SHAP), we verified that the most crucial variable was the nodding head angle variable, with a median SHAP score of 2.6. All the top 10 contributing variables exhibited significant differences in distribution between children with DD and TD (p<0.05).Conclusion The results of this study provide evidence that facial landmarks, utilizing readily available mobile-based video data, can be used to detect DD at an early stage.
{"title":"A Study on the Screening of Children at Risk for Developmental Disabilities Using Facial Landmarks Derived From a Mobile-Based Application","authors":"Sang Ho Hwang, Y. Yu, Jichul Kim, Taeyeop Lee, Y. Park, Hyo-Won Kim","doi":"10.30773/pi.2023.0315","DOIUrl":"https://doi.org/10.30773/pi.2023.0315","url":null,"abstract":"Objective Early detection and intervention of developmental disabilities (DDs) are critical to improving the long-term outcomes of afflicted children. In this study, our objective was to utilize facial landmark features from mobile application to distinguish between children with DDs and typically developing (TD) children.Methods The present study recruited 89 children, including 33 diagnosed with DD, and 56 TD children. The aim was to examine the effectiveness of a deep learning classification model using facial video collected from children through mobile-based application. The study participants underwent comprehensive developmental assessments, which included the child completion of the Korean Psychoeducational Profile-Revised and caregiver completing the Korean versions of Vineland Adaptive Behavior Scale, Korean version of the Childhood Autism Rating Scale, Social Responsiveness Scale, and Child Behavior Checklist. We extracted facial landmarks from recorded videos using mobile application and performed DDs classification using long short-term memory with stratified 5-fold cross-validation.Results The classification model shows an average accuracy of 0.88 (range: 0.78–1.00), an average precision of 0.91 (range: 0.75–1.00), and an average F1-score of 0.80 (range: 0.60–1.00). Upon interpreting prediction results using SHapley Additive exPlanations (SHAP), we verified that the most crucial variable was the nodding head angle variable, with a median SHAP score of 2.6. All the top 10 contributing variables exhibited significant differences in distribution between children with DD and TD (p<0.05).Conclusion The results of this study provide evidence that facial landmarks, utilizing readily available mobile-based video data, can be used to detect DD at an early stage.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective The introduction of psychotherapy in palliative and end-of-life care settings has become increasingly common and is effective in decreasing many psychological problems. This review reports the characteristics and effectiveness of individual psychotherapeutic interventions for patients receiving palliative and end-of-life care. In addition, the review reports the effectiveness of psychotherapies considering the expected life expectancy.Methods The PubMed, Google Scholar, and Cochrane Library databases were searched for English-language articles published between January 2000 to May 2023.Results Twenty-six studies were included and classified into a total of nine types of psychotherapies, namely, dignity therapy (DT), life review therapy, narrative therapy, managing cancer and living meaningfully (CALM), individual meaning-centered psychotherapy, meaning and purpose therapy, meaning-making therapy, meaning-of-life therapy, and cognitive therapy.Conclusion Most of the psychotherapies provided to patients receiving palliative and end-of-life care showed effectiveness in the reduction of negative emotions and positive factors related to end-of-life issues. Most studies targeted patients with advanced cancer; however, studies on DT did not limit the target group to patients with cancer. Considering the expected life expectancy, CALM was found to be suitable for patients receiving early palliative care.
{"title":"Characteristics and Effectiveness of Individual Psychotherapy for Palliative and End-of-Life Care: A Literature Review for Randomized Controlled Trials","authors":"Kyungmin Kim, Jungmin Woo","doi":"10.30773/pi.2023.0357","DOIUrl":"https://doi.org/10.30773/pi.2023.0357","url":null,"abstract":"Objective The introduction of psychotherapy in palliative and end-of-life care settings has become increasingly common and is effective in decreasing many psychological problems. This review reports the characteristics and effectiveness of individual psychotherapeutic interventions for patients receiving palliative and end-of-life care. In addition, the review reports the effectiveness of psychotherapies considering the expected life expectancy.Methods The PubMed, Google Scholar, and Cochrane Library databases were searched for English-language articles published between January 2000 to May 2023.Results Twenty-six studies were included and classified into a total of nine types of psychotherapies, namely, dignity therapy (DT), life review therapy, narrative therapy, managing cancer and living meaningfully (CALM), individual meaning-centered psychotherapy, meaning and purpose therapy, meaning-making therapy, meaning-of-life therapy, and cognitive therapy.Conclusion Most of the psychotherapies provided to patients receiving palliative and end-of-life care showed effectiveness in the reduction of negative emotions and positive factors related to end-of-life issues. Most studies targeted patients with advanced cancer; however, studies on DT did not limit the target group to patients with cancer. Considering the expected life expectancy, CALM was found to be suitable for patients receiving early palliative care.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Moraleda-Cibrián, I. Palomares-Gonell, J. Albares-Tendero, Seockhoon Chung
Objective The aim of this study was to assess short and medium-term impact of the coronavirus disease-2019 (COVID-19) pandemic on stress, mental health, and sleep in Spanish healthcare professionals (HCP), and analyze the association between healthy habits, anxiety, and depression during the same period.Methods An online survey including five validated scales (the Perceived Stress Scale, the Goldberg Anxiety and Depression Scales, the Pre-Sleep Arousal Scale, and the Pittsburgh Sleep Quality Index), and some questions about healthy habits were completed by HCP in charge of patients without and with coronavirus. Once for the control group (baseline), and twice for the case group (baseline and follow-up).Results Overall 563 questionnaires were included. Moderate-severe stress was reported by 98.1% of subjects, anxiety and depression by 55.1% and 78.7% respectively, and poor sleep quality by 96.6%. Anxiety was reported more frequently by females and singles. HCP in charge of COVID-19 patients showed, in the baseline, a higher frequency of anxiety compared to controls (58.9% vs. 42.8%, p=0.002), and of depression (82.1% vs. 67.6%, p=0.001), that persisted in the follow-up assessment. Furthermore, HCP in charge of COVID-19 patients also exhibited more elevated mean scores for stress (p=0.005) and poor sleep (p=0.019). A decrease of sunlight exposure was associated with an increase of anxiety and depression symptoms, and less physical activity with depression.Conclusion Stress, sleep, and mental problems were common in Spanish HCP, especially in those in charge of COVID patients. These findings persisted throughout the pandemic, and may impact in the post-pandemic mental health of HCP.
{"title":"Stress, Mental Health, Sleep, and Healthy Habits in Spanish Healthcare Professionals Along the Pandemic: A Case-Control, and Follow-Up Study","authors":"M. Moraleda-Cibrián, I. Palomares-Gonell, J. Albares-Tendero, Seockhoon Chung","doi":"10.30773/pi.2023.0368","DOIUrl":"https://doi.org/10.30773/pi.2023.0368","url":null,"abstract":"Objective The aim of this study was to assess short and medium-term impact of the coronavirus disease-2019 (COVID-19) pandemic on stress, mental health, and sleep in Spanish healthcare professionals (HCP), and analyze the association between healthy habits, anxiety, and depression during the same period.Methods An online survey including five validated scales (the Perceived Stress Scale, the Goldberg Anxiety and Depression Scales, the Pre-Sleep Arousal Scale, and the Pittsburgh Sleep Quality Index), and some questions about healthy habits were completed by HCP in charge of patients without and with coronavirus. Once for the control group (baseline), and twice for the case group (baseline and follow-up).Results Overall 563 questionnaires were included. Moderate-severe stress was reported by 98.1% of subjects, anxiety and depression by 55.1% and 78.7% respectively, and poor sleep quality by 96.6%. Anxiety was reported more frequently by females and singles. HCP in charge of COVID-19 patients showed, in the baseline, a higher frequency of anxiety compared to controls (58.9% vs. 42.8%, p=0.002), and of depression (82.1% vs. 67.6%, p=0.001), that persisted in the follow-up assessment. Furthermore, HCP in charge of COVID-19 patients also exhibited more elevated mean scores for stress (p=0.005) and poor sleep (p=0.019). A decrease of sunlight exposure was associated with an increase of anxiety and depression symptoms, and less physical activity with depression.Conclusion Stress, sleep, and mental problems were common in Spanish HCP, especially in those in charge of COVID patients. These findings persisted throughout the pandemic, and may impact in the post-pandemic mental health of HCP.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective This study investigates the longitudinal effects of changes in the associations between two distinct aspects of social connections—i.e., social connectedness and loneliness—on depressive symptoms among community-dwelling Korean adults. This study also examines whether these associations vary across three age groups (45–64, 65–74, and 75 or above).Methods Using data from the Korean Longitudinal Study of Ageing collected between 2014 and 2020 (n=3,642 individuals), fixed effects models were used to examine the age-specific associations between the two distinct aspects of social connections and depressive symptoms (Center for Epidemiologic Studies-Depression Scale) while, accounting for time-invariant individual heterogeneity. Social connectedness is measured by asking the frequency of interactions with friends, relatives, or neighbors.Results The findings indicate that the impact of loneliness on depressive symptoms outweighs that of social disconnectedness. Notably, this study unveils age-specific patterns concerning the impact of the coronavirus disease-2019 pandemic on depressive symptoms and changes in the association between loneliness and depressive symptoms. Specifically, middle-aged individuals reported higher levels of depressive symptoms and loneliness along with a heightened impact of loneliness on depressive symptoms, despite maintaining stable social connections. Conversely, the oldest adults experienced reductions in both depressive symptoms and loneliness, despite a significant decrease in socializing.Conclusion These findings shed light on the differential effects of loneliness on depressive symptoms within distinct age groups before and during the pandemic. The implications of these findings are discussed with a focus on informing the development of targeted policy interventions tailored to the specific needs of different age groups.
本研究调查了社会联系的两个不同方面（即社会联系性和孤独感）的变化对居住在社区的韩国成年人抑郁症状的纵向影响。本研究还考察了这些关联在三个年龄组（45-64 岁、65-74 岁和 75 岁或以上）之间是否存在差异。方法 使用韩国老龄化纵向研究（Korean Longitudinal Study of Ageing）在 2014 年至 2020 年间收集的数据（n=3,642 人），采用固定效应模型考察了社会联系的两个不同方面与抑郁症状（流行病学研究中心-抑郁量表）之间的特定年龄关联，同时考虑了时间不变的个体异质性。社会联系度是通过询问与朋友、亲戚或邻居的互动频率来衡量的。值得注意的是，本研究揭示了冠状病毒病-2019 大流行对抑郁症状影响的特定年龄模式，以及孤独感与抑郁症状之间关联的变化。具体来说，中年人尽管保持着稳定的社会关系，但他们的抑郁症状和孤独感水平较高，孤独感对抑郁症状的影响也更大。结论 这些发现揭示了大流行之前和期间孤独感对不同年龄组抑郁症状的不同影响。讨论了这些发现的意义，重点是为制定针对不同年龄组特定需求的有针对性的政策干预措施提供信息。
{"title":"Age-Specific Changes in the Effects of Social Connectedness and Loneliness on Depressive Symptoms: Evidence From the Korean Longitudinal Study of Ageing Before and During the COVID-19 Pandemic","authors":"Juyeon Kim, Jungtaek Lee","doi":"10.30773/pi.2023.0268","DOIUrl":"https://doi.org/10.30773/pi.2023.0268","url":null,"abstract":"Objective This study investigates the longitudinal effects of changes in the associations between two distinct aspects of social connections—i.e., social connectedness and loneliness—on depressive symptoms among community-dwelling Korean adults. This study also examines whether these associations vary across three age groups (45–64, 65–74, and 75 or above).Methods Using data from the Korean Longitudinal Study of Ageing collected between 2014 and 2020 (n=3,642 individuals), fixed effects models were used to examine the age-specific associations between the two distinct aspects of social connections and depressive symptoms (Center for Epidemiologic Studies-Depression Scale) while, accounting for time-invariant individual heterogeneity. Social connectedness is measured by asking the frequency of interactions with friends, relatives, or neighbors.Results The findings indicate that the impact of loneliness on depressive symptoms outweighs that of social disconnectedness. Notably, this study unveils age-specific patterns concerning the impact of the coronavirus disease-2019 pandemic on depressive symptoms and changes in the association between loneliness and depressive symptoms. Specifically, middle-aged individuals reported higher levels of depressive symptoms and loneliness along with a heightened impact of loneliness on depressive symptoms, despite maintaining stable social connections. Conversely, the oldest adults experienced reductions in both depressive symptoms and loneliness, despite a significant decrease in socializing.Conclusion These findings shed light on the differential effects of loneliness on depressive symptoms within distinct age groups before and during the pandemic. The implications of these findings are discussed with a focus on informing the development of targeted policy interventions tailored to the specific needs of different age groups.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective We aimed to predict the possible mechanism of obsessive-compulsive disorder (OCD) by integrating and analyzing mRNA sequencing results from two datasets and to provide direction for future studies into the pathogenesis of OCD.Methods Two OCD datasets, GSE78104 and GSE60190, were obtained, and the intersection of the two gene sets with differential expression in OCD samples was selected. Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway enrichment and Gene Ontology (GO) analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) online analysis website for the genes at the intersection, and the data were mapped using http://www.bioinformatics.com.cn. After genes with p≤0.05 had been screened out, protein-protein interaction (PPI) interaction analysis was conducted using Metascape to screen the key Molecular Complex Detection (MCODE) genes. MCODE genes were then enriched using the KEGG signaling pathway and GO classification.Results A total of 3,449 differentially expressed genes (DEGs) were obtained from the GSE78104 and GSE60190 datasets. KEGG, GO, and Gene Set Enrichment Analysis analyses of DEGs showed that the onset of OCD was related to oxidative phosphorylation and other metabolic processes, which may have a similar pathogenesis to other neurodegenerative diseases. Single-gene PPI analysis of SAPAP3 revealed that the mechanism by which SAPAP3 knockout induces OCD may also be caused by affecting oxidative phosphorylation.Conclusion The mechanism of SAPAP3 knockout-induced OCD in mice may be due to the oxidative phosphorylation process in the body. Future studies on the neural circuit mechanism of OCD should be conducted.
{"title":"Informational Analysis and Prediction of Obsessive-Compulsive Disorder Pathogenesis","authors":"Yanrong Wang, Yuan Wang, Manxue Zhang, Doudou Liu, Jianqun Fang","doi":"10.30773/pi.2023.0149","DOIUrl":"https://doi.org/10.30773/pi.2023.0149","url":null,"abstract":"Objective We aimed to predict the possible mechanism of obsessive-compulsive disorder (OCD) by integrating and analyzing mRNA sequencing results from two datasets and to provide direction for future studies into the pathogenesis of OCD.Methods Two OCD datasets, GSE78104 and GSE60190, were obtained, and the intersection of the two gene sets with differential expression in OCD samples was selected. Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway enrichment and Gene Ontology (GO) analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) online analysis website for the genes at the intersection, and the data were mapped using http://www.bioinformatics.com.cn. After genes with p≤0.05 had been screened out, protein-protein interaction (PPI) interaction analysis was conducted using Metascape to screen the key Molecular Complex Detection (MCODE) genes. MCODE genes were then enriched using the KEGG signaling pathway and GO classification.Results A total of 3,449 differentially expressed genes (DEGs) were obtained from the GSE78104 and GSE60190 datasets. KEGG, GO, and Gene Set Enrichment Analysis analyses of DEGs showed that the onset of OCD was related to oxidative phosphorylation and other metabolic processes, which may have a similar pathogenesis to other neurodegenerative diseases. Single-gene PPI analysis of SAPAP3 revealed that the mechanism by which SAPAP3 knockout induces OCD may also be caused by affecting oxidative phosphorylation.Conclusion The mechanism of SAPAP3 knockout-induced OCD in mice may be due to the oxidative phosphorylation process in the body. Future studies on the neural circuit mechanism of OCD should be conducted.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heeseung Park, Kyungwon Kim, Eunsoo Moon, Hyunju Lim, H. Suh, Taewoo Kang
Objective Due to the high frequency of depressive symptoms associated with breast cancer, it is crucial to screen for depression in breast cancer patients. While numerous screening tools are available for depression in this population, there is a need for a brief and convenient tool to enhance clinical use. This study aims to investigate the psychometric properties of the Patient Health Questionnaire-9 (PHQ-9) in patients with breast cancer.Methods Patients with breast cancer (n=327) who visited the Breast Cancer Clinic were included in this study. The reliability of the PHQ-9 was analyzed by Cronbach’s α, and the construct validity of the PHQ-9 was explored by factor analysis. The concurrent validity of the PHQ-9 was evaluated by Pearson correlation analysis with the Hospital Anxiety and Depression Scale (HADS) and Perceived Stress Scale (PSS).Results The values of Cronbach’s α ranged from 0.800 to 0.879 was acceptable. The exploratory factor analysis revealed that the one-factor model and two-factor model of the PHQ-9 explained 46% and 57% of the variance, respectively. The PHQ-9 were significantly correlated with those of HADS (r=0.702, p<0.001) and PSS (r=0.466, p<0.001). Consequently, the PHQ-9 demonstrated acceptable reliability and validity in breast cancer patients.Conclusion The findings of this study indicate that the PHQ-9 exhibits acceptable reliability and validity in patients with breast cancer. The convenience of this brief self-report questionnaire suggests its potential as a reliable and valid tool for assessing depression in breast cancer clinics.
{"title":"Psychometric Properties of the Patient Health Questionnaire-9\u0000in Patients With Breast Cancer","authors":"Heeseung Park, Kyungwon Kim, Eunsoo Moon, Hyunju Lim, H. Suh, Taewoo Kang","doi":"10.30773/pi.2023.0285","DOIUrl":"https://doi.org/10.30773/pi.2023.0285","url":null,"abstract":"Objective Due to the high frequency of depressive symptoms associated with breast cancer, it is crucial to screen for depression in breast cancer patients. While numerous screening tools are available for depression in this population, there is a need for a brief and convenient tool to enhance clinical use. This study aims to investigate the psychometric properties of the Patient Health Questionnaire-9 (PHQ-9) in patients with breast cancer.Methods Patients with breast cancer (n=327) who visited the Breast Cancer Clinic were included in this study. The reliability of the PHQ-9 was analyzed by Cronbach’s α, and the construct validity of the PHQ-9 was explored by factor analysis. The concurrent validity of the PHQ-9 was evaluated by Pearson correlation analysis with the Hospital Anxiety and Depression Scale (HADS) and Perceived Stress Scale (PSS).Results The values of Cronbach’s α ranged from 0.800 to 0.879 was acceptable. The exploratory factor analysis revealed that the one-factor model and two-factor model of the PHQ-9 explained 46% and 57% of the variance, respectively. The PHQ-9 were significantly correlated with those of HADS (r=0.702, p<0.001) and PSS (r=0.466, p<0.001). Consequently, the PHQ-9 demonstrated acceptable reliability and validity in breast cancer patients.Conclusion The findings of this study indicate that the PHQ-9 exhibits acceptable reliability and validity in patients with breast cancer. The convenience of this brief self-report questionnaire suggests its potential as a reliable and valid tool for assessing depression in breast cancer clinics.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yunsu Kim, Junseok Hwang, Jaehyung Lee, Seongwon Jang, Yumi Im, Sunkyung Yoon, Seung-Hwan Lee
Objective The development of individual subtypes based on biomarkers offers a cost-effective and timely avenue to comprehending individual differences pertaining to mental health, independent from individuals’ subjective insights. Incorporating 2-channel electroencephalography (EEG) and photoplethysmogram (PPG), we sought to establish a subtype classification system with clinical relevance.Methods One hundred healthy participants and 99 patients with psychiatric disorders were recruited. Classification thresholds were determined using the EEG and PPG data from 2,278 individuals without mental disorders, serving to classify subtypes in our sample of 199 participants. Multivariate analysis of variance was applied to examine psychological distinctions among these subtypes. K-means clustering was employed to verify the classification system.Results The distribution of subtypes differed between healthy participants and those with psychiatric disorders. Cognitive abilities were contingent upon brain subtypes, while mind subtypes exhibited significant differences in symptom severity, overall health, and cognitive stress. K-means clustering revealed that the results of our theory-based classification and data-driven classification are comparable. The synergistic assessment of both brain and mind subtypes was also explored.Conclusion Our subtype classification system offers a concise means to access individuals’ mental health. The utilization of EEG and PPG signals for subtype classification offers potential for the future of digital mental healthcare.
{"title":"Clinical Implication of Maumgyeol Basic Biotypes–Electroencephalography- and Photoplethysmogram-Based Bwave State Inventory","authors":"Yunsu Kim, Junseok Hwang, Jaehyung Lee, Seongwon Jang, Yumi Im, Sunkyung Yoon, Seung-Hwan Lee","doi":"10.30773/pi.2023.0381","DOIUrl":"https://doi.org/10.30773/pi.2023.0381","url":null,"abstract":"Objective The development of individual subtypes based on biomarkers offers a cost-effective and timely avenue to comprehending individual differences pertaining to mental health, independent from individuals’ subjective insights. Incorporating 2-channel electroencephalography (EEG) and photoplethysmogram (PPG), we sought to establish a subtype classification system with clinical relevance.Methods One hundred healthy participants and 99 patients with psychiatric disorders were recruited. Classification thresholds were determined using the EEG and PPG data from 2,278 individuals without mental disorders, serving to classify subtypes in our sample of 199 participants. Multivariate analysis of variance was applied to examine psychological distinctions among these subtypes. K-means clustering was employed to verify the classification system.Results The distribution of subtypes differed between healthy participants and those with psychiatric disorders. Cognitive abilities were contingent upon brain subtypes, while mind subtypes exhibited significant differences in symptom severity, overall health, and cognitive stress. K-means clustering revealed that the results of our theory-based classification and data-driven classification are comparable. The synergistic assessment of both brain and mind subtypes was also explored.Conclusion Our subtype classification system offers a concise means to access individuals’ mental health. The utilization of EEG and PPG signals for subtype classification offers potential for the future of digital mental healthcare.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01Epub Date: 2024-05-23DOI: 10.30773/pi.2021.0072e
İbrahim Gündog Mus, Mehmet Sinan Aydın, Ayhan Algül
{"title":"Corrigendum: \"The Relationship of Smartphone Addiction and Alexithymia\".","authors":"İbrahim Gündog Mus, Mehmet Sinan Aydın, Ayhan Algül","doi":"10.30773/pi.2021.0072e","DOIUrl":"10.30773/pi.2021.0072e","url":null,"abstract":"","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11136574/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141176250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sang Won Park, Nam Young Lee, Hee Yeon Jeong, In Won Chung, Yong Sik Kim, Seong Hoon Jeong
Objective Auditory verbal hallucination (AVH) is a prominent symptom of schizophrenia causing profound distress. The influence of AVHs on insight appears to be intricate and contingent on other accompanying symptoms. This study investigated the relationship and possible mediators between AVHs and the degree of insight.Methods One hundred patients with schizophrenia participated in the study. Scales were used to evaluate the hallucinatory experience, the level of insight and other psychopathology. Complex relationships between variables were envisaged as a path model, whose initial structure was constructed via Gaussian Graphical Model. The validity of the final model was verified by Structural Equation Modeling. Separate analyses were performed for self-reported and clinician-rated data to enhance the model’s robustness.Results The greater the severity of the physical aspects of AVHs, the lower the level of insight observed. Conversely, higher emotional distress was associated with increased insight. These relationships were only evident in the self-reported results and were not reflected in the clinician-rated results. The path model suggested that the Positive and Negative Syndrome Scale (PANSS) anxiety/depression factor was an important mediator that linked the found association. Notably, the PANSS negative symptom had the opposite effect on the PANSS anxiety/depression factor and insight, making it difficult to define its overall effect.Conclusion The findings of this study provided one possible route for the positive influence of AVH experience in gaining insight. The mediating role of anxiety/depression modified by negative symptoms emerged as a valuable concept for clarifying this intricate relationship.
{"title":"The Mediating Role of Anxiety/Depression Between Auditory Verbal Hallucinations and the Level of Insight in Schizophrenia","authors":"Sang Won Park, Nam Young Lee, Hee Yeon Jeong, In Won Chung, Yong Sik Kim, Seong Hoon Jeong","doi":"10.30773/pi.2023.0396","DOIUrl":"https://doi.org/10.30773/pi.2023.0396","url":null,"abstract":"Objective Auditory verbal hallucination (AVH) is a prominent symptom of schizophrenia causing profound distress. The influence of AVHs on insight appears to be intricate and contingent on other accompanying symptoms. This study investigated the relationship and possible mediators between AVHs and the degree of insight.Methods One hundred patients with schizophrenia participated in the study. Scales were used to evaluate the hallucinatory experience, the level of insight and other psychopathology. Complex relationships between variables were envisaged as a path model, whose initial structure was constructed via Gaussian Graphical Model. The validity of the final model was verified by Structural Equation Modeling. Separate analyses were performed for self-reported and clinician-rated data to enhance the model’s robustness.Results The greater the severity of the physical aspects of AVHs, the lower the level of insight observed. Conversely, higher emotional distress was associated with increased insight. These relationships were only evident in the self-reported results and were not reflected in the clinician-rated results. The path model suggested that the Positive and Negative Syndrome Scale (PANSS) anxiety/depression factor was an important mediator that linked the found association. Notably, the PANSS negative symptom had the opposite effect on the PANSS anxiety/depression factor and insight, making it difficult to define its overall effect.Conclusion The findings of this study provided one possible route for the positive influence of AVH experience in gaining insight. The mediating role of anxiety/depression modified by negative symptoms emerged as a valuable concept for clarifying this intricate relationship.","PeriodicalId":21164,"journal":{"name":"Psychiatry Investigation","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140658058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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