Verena Semmlinger, Cosima Leithner, Lea Maria Klöck, Lena Ranftl, Thomas Ehring, Monika Schreckenbach
{"title":"Prevalence and Predictors of Nonresponse to Psychological Treatment for PTSD: A Meta-Analysis","authors":"Verena Semmlinger, Cosima Leithner, Lea Maria Klöck, Lena Ranftl, Thomas Ehring, Monika Schreckenbach","doi":"10.1155/2024/9899034","DOIUrl":"https://doi.org/10.1155/2024/9899034","url":null,"abstract":"<div>\u0000 <p><i>Background</i>. Although highly efficacious psychological treatments for posttraumatic stress disorder (PTSD) exist, there is evidence that first-line psychological treatment approaches leave a substantial subgroup of patients still suffering from clinically relevant PTSD symptoms posttreatment. <i>Aims</i>. We aimed to meta-analytically establish the prevalence and predictors of nonresponse to first-line guideline-recommended psychological treatments for PTSD. <i>Materials and Methods</i>. This meta-analysis was preregistered (CRD42023368766). We searched the PTSD Trials Standardized Data Repository, Embase, Medline, PsychINFO, and PTSDpubs. We included randomized controlled trials (RCT), reporting data on nonresponse operationalized by (lack of) symptom reduction in PTSD symptoms at posttreatment of first-line guideline-recommended PTSD treatments for adult patients meeting criteria for a PTSD diagnosis. All studies published by October 10, 2023, were included. Data were extracted by two independent reviewers. We estimated the pooled average nonresponse rates and ORs. Subgroup and metaregression analyses targeting the nonresponse rates served to identify significant predictors. All analyses were conducted using three-level multilevel models. Study quality was assessed using Cochrane’s RoB 2 tool. <i>Results</i>. Eighty six studies with 117 active treatment conditions and 7,894 participants were included in the meta-analysis. The weighted average nonresponse rate was 39.23%, 95% CI (35.08%, 43.53%). Nonresponse was less frequent in the treatment condition compared to the control condition (<i>OR</i> = 0.22). Subgroup analyses and metaregression revealed the type of analysis, population, type of intervention, treatment format, year of publication, age, sex, PTSD symptom severity, comorbid depression, and baseline depression score as significant predictors. The heterogeneity between studies was substantial to considerable (<i>I</i><sup>2</sup> = 83.12%). Half of the studies had a high risk of bias. <i>Conclusions</i>. This meta-analysis found that a substantial subgroup of patients suffering from PTSD still showed clinically significant symptoms after having received treatment. Treatment modifications should be considered for specific subgroups of PTSD patients based on predictors found to be associated with nonresponse.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/9899034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sex Differences in Suicide Attempts: A Cross-Sectional Study in Patients with First-Episode and Drug-Naïve Major Depression Disorder","authors":"Yingzhao Zhu, Jun Zhang, Junjun Liu, Fengnan Jia, Zhe Li, Xueli Zhao, Chuanwei Li, Hanxu Deng, Yue Zhou, Xingzhi Xia, Ruchang Yang, Xiangdong Du, Xiangyang Zhang","doi":"10.1155/2024/5391546","DOIUrl":"https://doi.org/10.1155/2024/5391546","url":null,"abstract":"<div>\u0000 <p><i>Object</i>. Sex differences in suicide attempts in first-episode and drug-naïve (FEDN) patients with major depression disorder remain unclear. This study is aimed to examine sex differences in the prevalence and clinical correlates of suicide attempts in FEDN patients with MDD. <i>Materials and Methods</i>. A cross-sectional study was conducted on the FEDN patients with MDD, and 1,718 patients’ demography information and clinical data were collected. The Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Positive and Negative Syndrome Scale (PANSS) were used to evaluate symptoms of depression, anxiety, and psychotic symptoms, respectively. Thyroid hormones, lipid profile, and fasting blood glucose (FBG) were measured. A history of suicide attempt was verified based on medical records and interviews with patients and their families. A 2 × 2 ANOVA was used to compare the clinical parameters of MDD patients in the suicide attempts subgroup and the sex subgroup, as well as whether there is an interaction between these two subgroups. Univariate analysis and multivariate binary logistic regression analyses were used to assess factors associated with suicide attempts. <i>Results</i>. There was no sex difference in rates of suicide attempt among FEND patients with MDD (male: 19.0% vs. female: 20.7%, <i>χ</i><sup>2</sup> = 0.663, <i>p</i> = 0.416). Compared to males and females without suicide attempts, those with suicide attempts had higher levels of LDL-C and lower levels of HDL-C. There was a statistically significant difference in the course of disease, educational level, and TG in the female group but not in the male group. In both male and female patients, Lg (TPOAb) and severe anxiety symptoms were found to be positively correlated with suicide attempts. In addition, in male patients, suicide attempts were positively correlated with TC and FBG, while negatively correlated with body mass index. In female patients, there was a positive correlation between the severity of depression and elevated systolic blood pressure with suicide attempts (all <i>p</i> < 0.05). <i>Conclusion</i>. Our study showed that there is no sex difference in the prevalence of suicide attempts in FEDN patients with MDD and there are differences in factors related to suicide attempts between male and female MDD patients.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/5391546","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does Helping Others Always Benefit Health? Longitudinal Evidence on the Relationship between Helping Behavior and Depression: The Mediating Role of Life Satisfaction and the Moderating Effect of IADL","authors":"Yan Cheng, Yue Wei, Shao-Liang Tang","doi":"10.1155/2024/2304723","DOIUrl":"https://doi.org/10.1155/2024/2304723","url":null,"abstract":"<div>\u0000 <p><i>Background</i>. This study aims to explore whether helping behavior is always beneficial for alleviating depression or if there is a “moderation is the key” effect. <i>Materials and Methods</i>. This study focused on a sample of 7,436 participants from the China Health and Retirement Longitudinal Study (CHARLS). The 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) was used to identify the presence of depression. Linear mixed model and Quasi-Bayesian estimation methods were used to explore the mediating role of life satisfaction in the relationship between helping behavior and depression, as well as the moderating effects of the instrumental activity of daily living (IADL). Additionally, we employed the Johnson–Neyman technique to visualize the moderating effect of IADL. <i>Results</i>. Helping behavior shows a negative correlation with depression (<i>B</i> = −0.170, <i>p</i> = 0.020), where life satisfaction fully mediates this relationship (effect = −0.055, 95% confidence interval = −0.088 to −0.022). Moreover, the association between helping behavior and life satisfaction is moderated by IADL (<i>B</i> = −0.047, <i>p</i> < 0.001). Specifically, when IADL is below 0.56, helping behavior positively impacts life satisfaction. In contrast, when IADL exceeds 1.99, helping behavior has a detrimental effect on life satisfaction. <i>Conclusions</i>. This study highlights the significant positive impact of helping behavior on depression alleviation, which is achieved by increasing life satisfaction. Notably, although helping behavior has positive effects on individuals, not everyone can benefit directly from it. Only those without functional limitations are more likely to experience the benefits of such behavior. Therefore, when policymakers and researchers develop strategies to encourage individuals in helping behavior to combat depression, they should consider two key approaches. First, life satisfaction should be used as an important indicator in the treatment of depression, allowing for timely adjustments to ensure the effectiveness and individualization of treatment plans. Second, the principle of “moderation is the key” should be prioritized, ensuring that helping behavior can maximize its benefits and help individuals emerge from the shadows of depression.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/2304723","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Miguel Martínez-Galiano, Sergio Martínez-Vázquez, Rocío Adriana Peinado-Molina, Antonio Hernández-Martínez
{"title":"Validation of the Paykel Suicide Scale and the Plutchik Suicide Risk Scale in Spanish Women during the Perinatal Period","authors":"Juan Miguel Martínez-Galiano, Sergio Martínez-Vázquez, Rocío Adriana Peinado-Molina, Antonio Hernández-Martínez","doi":"10.1155/2024/3741489","DOIUrl":"https://doi.org/10.1155/2024/3741489","url":null,"abstract":"<div>\u0000 <p><i>Introduction</i>. No specific instruments are available to detect the risk of suicide in women during the perinatal period. Suicide in perinatal women is little studied despite being one of the main causes of maternal mortality. Its prevalence has increased by 100% in the United States in a decade. Moreover, it has consequences for the mother and the newborn. <i>Objective</i>. To validate the Paykel Suicide Scale and the Plutchik Suicide Risk Scale in Spanish women during the perinatal period. <i>Materials and Methods</i>. Cross-sectional study with Spanish women who were pregnant or who had given birth less than 18 months ago. Information was collected on sociodemographic variables, obstetric variables, and the newborn. A questionnaire that included both suicide scales and the Edinburgh Postnatal Depression Scale (EDPS) was used. An exploratory factor analysis (EFA), convergent and criterion validation, as well as internal consistency analysis, were performed. <i>Results</i>. In total, 237 women participated. The EFA determined that in the Plutchik Suicide Risk Scale 4 components explained 54.8% of the variance, while in the Paykel Scale, a single component explained 53.0% of the variance. In the convergent validity, the risk of suicide or suicidal ideation was related to the Plutchik Suicide Risk Scale and the Paykel Suicide Scale, respectively, with the variables: perception of low social support, risk of intimate partner violence, level of anxiety, history of mental pathology, and having experienced a stressful event in the last year, among others (<i>p</i> < 0.05). The area under the receiver operating characteristic curve for the Plutchik Suicide Risk Scale scores was 0.88 (95% CI: 0.82–0.93), and for the Paykel Scale, it was 0.90 (95% CI: 0.85–0.95). The value of Cronbach’s alpha (<i>α</i>) was placed for the Plutchik Suicide Risk Scale at 0.806 and for the Paykel Suicide Scale at 0.766. <i>Conclusion</i>. Both scales presented adequate psychometric characteristics to be used as a screening instrument for suicide risk in Spanish women in the perinatal period.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/3741489","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141967509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of Binaural Beat Music Integrated with Rhythmical Photic Stimulation on Anxiety Reduction among Healthy Daycare Center Staff","authors":"Cheng Liu, Shang-Yu Yang, Jiun-Yi Wang","doi":"10.1155/2024/5556702","DOIUrl":"https://doi.org/10.1155/2024/5556702","url":null,"abstract":"<div>\u0000 <p>This study investigated the efficacy of combining binaural beat music (BBM) with rhythmical photic stimulation at the <i>α</i> frequency in alleviating anxiety among daycare staff and explored its impacts on daycare staff with different anxiety levels. A quasi-experimental research design was adopted, which included three interventions: BBM, BBM integrated with rhythmical photic stimulation, and relaxation music (control group). Participants completed a questionnaire prior to the first intervention, which included personal demographic information and the Beck Anxiety Inventory. The effects of these interventions on anxiety relief among daycare staff were evaluated through heart rate variability (HRV), brain waves, and blood pressure before and after the interventions. Statistical analysis primarily employed the Friedman test to analyze the differences in changes in HRV, brain waves, and blood pressure before and after the interventions. A total of 40 individuals participated in this study (16 males and 24 females), with an average age of 31.73 ± 8.83 years. The results showed that, compared to BBM alone, BBM integrated with rhythmical photic stimulation significantly reduced the normalized low/high frequency (nLF/nHF) ratio in participants with moderate anxiety (<i>p</i> < 0.05). The results suggest that BBM integrated with rhythmical photic stimulation may serve as an intervention for the prevention and relief of anxiety by regulating an individual’s autonomic nervous system. However, further research is required to confirm these findings.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/5556702","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Use of Esketamine Nasal Spray in Patients with Treatment-Resistant Depression in Routine Practice: A Real-World French Study","authors":"Ludovic Samalin, Lila Mekaoui, Maud Rothärmel, Anne Sauvaget, Clotilde Wicart, Julien Dupin, Vanessa Cohignac, Emeline Gaudre-Wattinne","doi":"10.1155/2024/7262794","DOIUrl":"https://doi.org/10.1155/2024/7262794","url":null,"abstract":"<div>\u0000 <p><i>Background</i>. The efficacy and safety of esketamine nasal spray (ESK) were established in registration trials in patients with treatment-resistant depression (TRD). This French real-world study aimed to describe the treatment patterns, effectiveness, and safety of ESK in TRD patients over a 12-month follow-up. <i>Materials and Methods</i>. This study used secondary data from patient files of hospital-based psychiatrists and started during the first French patient early access to ESK. The response and remission rates with ESK were analyzed using the total score of the Montgomery–Åsberg Depression Rating Scale (MADRS). The time to first treatment response and work resumption were described (Kaplan–Meier method). Adverse events (AEs) were analyzed. <i>Results</i>. Prior to ESK initiation, the 157 analyzed patients (age ≤ 65 years, 82.8%; female, 66.2%) had depression for 10.5 years (median, IQR, 4.2–21.2) and received a median of 6 (3–8) previous treatment lines. At ESK initiation, the mean ± SD total MADRS score was 32.1 ± 7.7. At that time, ESK was combined with antidepressants (93.6% of patients; SNRI, 65.0%; SSRI, 57.3%) and/or other potentiation strategy (63.1%; atypical antipsychotics, 36.3%; lithium, 25.6%; antiepileptics, 21.7%). During the 12-month follow-up, 125 patients (79.6%) discontinued ESK. The median duration of ESK treatment was 19.4 weeks (IQR, 4.4–40.1). At 1 month after ESK initiation, 40.2% of still treated patients met criteria for clinical response and 19.7% for remission (median time to response, 5.7 weeks; 95% CI (4.1–8.4)). 82.6% of active patients were on sick leave at ESK initiation; the work resumption rate was 24% (13%–40%) 12 weeks later. AEs were reported in 68.6% of patients, serious AEs in 17.2%, and AEs leading to ESK discontinuation in 14.6%. <i>Conclusion</i>. These real-world effectiveness and safety data were consistent with findings from previous clinical trials, describing the real-life clinical experience of patients receiving ESK and confirming that ESK has its place in therapy for the treatment of TRD.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7262794","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Minne Van Den Noortgate, Manuel Morrens, Albert M. Van Hemert, Robert A. Schoevers, Brenda W.J.H. Penninx, Erik J. Giltay
{"title":"Unveiling Transitions in Disease States: Study of Depressive and Anxiety Symptom Networks over Time","authors":"Minne Van Den Noortgate, Manuel Morrens, Albert M. Van Hemert, Robert A. Schoevers, Brenda W.J.H. Penninx, Erik J. Giltay","doi":"10.1155/2024/4393070","DOIUrl":"https://doi.org/10.1155/2024/4393070","url":null,"abstract":"<div>\u0000 <p><i>Background</i>. Major depressive disorder (MDD) and anxiety disorders (AD) have high degrees of comorbidity and show great overlap in symptoms. The analysis of covarying depressive- and anxiety symptoms in longitudinal, sparse data panels has received limited attention. Dynamic time warping (DTW) analysis may help to provide new insights into symptom network properties based on diagnostic- and disease-state stability criteria. <i>Materials and Methods</i>. In the Netherlands Study of Depression and Anxiety depressive-, anxiety-, and worry symptoms were assessed four or five times over the course of 9 years using self-report questionnaires. The sample included 1,649 participants at baseline, comprising controls (<i>n</i> = 360), AD patients (<i>n</i> = 158), MDD patients (<i>n</i> = 265), and comorbid AD–MDD patients (<i>n</i> = 866). With DTW, 1,649 distance matrices were calculated, which yielded symptom networks and enabling comparison of network densities among subgroups. <i>Results</i>. The mean age of the sample was 41.5 years (standard deviations, 13.2), of whom 66.4% were female. The largest distance was between worry symptoms and physiological arousal symptoms, implicating the most dissimilar dynamics over time. The network density in the groups, from lowest to highest, followed the order: controls, AD, MDD, and comorbid AD–MDD. The comorbid group showed strongly connected mood and cognitive symptoms, which contrasted with the more strongly connected somatic and arousal symptoms in the AD and MDD groups. Groups that showed more transitions in disease states over follow-up, regardless of the diagnoses, had the highest network density compared to more stable states of health or disease (beta for quadratic term = −0.095; <i>P</i> < 0.001). <i>Conclusions</i>. Symptom networks over time can be visualized by applying DTW methods on sparse panel data. Network density was highest in patients with comorbid anxiety and depressive disorders and those with more instability in disease states, suggesting that a stronger internal connectivity may facilitate “critical transitions” within the complex systems framework.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/4393070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Functional Near-Infrared Spectroscopy-Based Computer-Aided Diagnosis of Major Depressive Disorder Using Convolutional Neural Network with a New Channel Embedding Layer Considering Inter-Hemispheric Asymmetry in Prefrontal Hemodynamic Responses","authors":"Kyeonggu Lee, Jinuk Kwon, Minyoung Chun, JongKwan Choi, Seung-Hwan Lee, Chang-Hwan Im","doi":"10.1155/2024/4459867","DOIUrl":"https://doi.org/10.1155/2024/4459867","url":null,"abstract":"<div>\u0000 <p><i>Background</i>. Functional near-infrared spectroscopy (fNIRS) is being extensively explored as a potential primary screening tool for major depressive disorder (MDD) because of its portability, cost-effectiveness, and low susceptibility to motion artifacts. However, the fNIRS-based computer-aided diagnosis (CAD) of MDD using deep learning methods has rarely been studied. In this study, we propose a novel deep learning framework based on a convolutional neural network (CNN) for the fNIRS-based CAD of MDD with high accuracy. <i>Materials and Methods</i>. The fNIRS data of participants—48 patients with MDD and 68 healthy controls (HCs)—were obtained while they performed a Stroop task. The hemodynamic responses calculated from the preprocessed fNIRS data were used as inputs to the proposed CNN model with an ensemble CNN architecture, comprising three 1D depth-wise convolutional layers specifically designed to reflect interhemispheric asymmetry in hemodynamic responses between patients with MDD and HCs, which is known to be a distinct characteristic in previous MDD studies. The performance of the proposed model was evaluated using a leave-one-subject-out cross-validation strategy and compared with those of conventional machine learning and CNN models. <i>Results</i>. The proposed model exhibited a high accuracy, sensitivity, and specificity of 84.48%, 83.33%, and 85.29%, respectively. The accuracies of conventional machine learning algorithms—shrinkage linear discriminator analysis, regularized support vector machine, EEGNet, and ShallowConvNet—were 73.28%, 74.14%, 62.93%, and 62.07%, respectively. <i>Conclusions</i>. In conclusion, the proposed deep learning model can differentiate between the patients with MDD and HCs more accurately than the conventional models, demonstrating its applicability in fNIRS-based CAD systems.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/4459867","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141624465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yingying Du, Qianyi Luo, Yurong Zou, Huiqin Nie, Yuhong Li, Xiaohui Lin, Herui Shang, Hongjun Peng
{"title":"Resting-State Brain Dynamics Unique to Anxiety in Major Depressive Disorder","authors":"Yingying Du, Qianyi Luo, Yurong Zou, Huiqin Nie, Yuhong Li, Xiaohui Lin, Herui Shang, Hongjun Peng","doi":"10.1155/2024/4636291","DOIUrl":"https://doi.org/10.1155/2024/4636291","url":null,"abstract":"<div>\u0000 <p><i>Background</i>. Major depressive disorder with anxiety (MDD-A) is considered as a clinical subphenotype of major depressive disorder (MDD). There continues to be debate regarding the legitimacy of differentiating between the two diagnoses and their neurobiological foundations, given that the symptoms of MDD and MDD-A overlap. However, there is still a dearth of research that delineates the dynamic alteration in the brain activity unique to anxiety in MDD with resting-state functional magnetic resonance imaging (R-fMRI). <i>Methods</i>. 30 patients with MDD, 45 patients with MDD-A, and 46 healthy controls completed R-fMRI scans. Dynamic analysis was utilized to generate many widely used measures, such as voxel-mirrored homotopic connectivity, global signal correlation, regional homogeneity, amplitude of low-frequency fluctuations, and network degree centrality. Concordance between these indices was assessed with Kendall’s W coefficient for both volume and voxel-wise concordance. Finally, the differences in voxel-wise concordance among the groups were looked at, and their relationship to clinical factors was assessed. <i>Results</i>. Compared to the healthy control group, both MDD and MDD-A exhibited decreased dynamic R-fMRI indices in the bilateral calcarine, left postcentral gyrus, inferior parietal lobe, right lingual gyrus, and middle occipital gyrus. In comparison to the MDD group, the MDD-A group displayed a reduction in voxel-wise concordance in the left medial superior frontal gyrus. Furthermore, it was observed that the MDD and MDD-A groups both exhibited a negative correlation between anxiety levels and voxel-wise concordance in the left medial superior frontal gyrus. <i>Conclusions</i>. The aberrant voxel-wise concordance of the left medial superior frontal gyrus may differentiate the neurobiological aspects of MDD with anxiety symptom from MDD. These findings indicate the underlying mechanisms implicated in MDD with anxiety symptom while highlighting the significance of accounting for heterogeneity in depression research.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/4636291","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141608010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Effects of College Education on Depressive Symptoms: An Instrument Variable Approach","authors":"Yanshang Wang, Ping He","doi":"10.1155/2024/4110906","DOIUrl":"https://doi.org/10.1155/2024/4110906","url":null,"abstract":"<div>\u0000 <p><i>Introduction</i>. The acquisition of a college education is typically indicative of a resource advantage. However, in recent years, college graduates have faced increasing mental health related issues. The health advantages derived from this resource advantage have become increasingly less pronounced. This study aims to examine the effects of college education on depressive symptoms. <i>Materials and Methods</i>. We used data from China Family Panel Studies (CFPS), and combined this dataset with Chinese Education Examination Yearbook. We took advantage of variations in educational attainment, which was generated by college expansion policy, and adopted instrumental variables (IV) approach to identify the causal relationship. <i>Results</i>. Our findings indicated that college education did not have a causal effect on promoting mental health. The results were supported by the fact that they held within each subgroup. Notably, our limited evidence suggested that college expansion policy promoted equity in educational access. <i>Conclusion</i>. This study provided new and valuable evidence of education-induced health inequalities from the top of the education distribution.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2024 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/4110906","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141596991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}