Depression and Anxiety最新文献

{"title":"Corrigendum to “Global, Regional, and National Epidemiology of Depression in Working-Age Individuals, 1990–2019”","authors":"","doi":"10.1155/da/9761652","DOIUrl":"https://doi.org/10.1155/da/9761652","url":null,"abstract":"<p>J.-s. Yang, L.-y. Zhang, C.-h. Yang, X.-y. Li, and Z.-q. Li, “Global, Regional, and National Epidemiology of Depression in Working-Age Individuals, 1990–2019,” <i>Depression and Anxiety</i> 2024, no. 1 (2024): 1–14, https://doi.org/10.1155/2024/4747449.</p><p>In the article titled “Global, Regional, and National Epidemiology of Depression in Working-Age Individuals, 1990–2019,” the contact details for Zhi-qiang Li were incorrect. The correct contact information is shown below:</p><p>Correspondence should be addressed to Zhi-qiang Li; <span>[email protected]</span></p><p>We apologize for this error.</p>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/9761652","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171960","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":"Digital CBT-I in Comorbid Insomnia and Depression: Clinical Outcomes From a Pragmatic Randomized Controlled Trial","authors":"Jennifer Schuffelen,&nbsp;Leonie F. Maurer,&nbsp;Annika Gieselmann","doi":"10.1155/da/2171041","DOIUrl":"https://doi.org/10.1155/da/2171041","url":null,"abstract":"<div>\u0000 <p>Depression affects 8.1% of the German population annually, yet many patients remain resistant to conventional treatments. Given that 85% of individuals with depression also experience chronic insomnia, sleep may represent both a contributing and modifiable treatment factor. This study examines whether adding a fully automated digital cognitive behavioral therapy for insomnia (dCBT-I) to care-as-usual (CAU) improves depressive symptoms. Participants with comorbid depression and insomnia were randomized to either the intervention group (dCBT-I) or the waiting group (WLC). The intervention was delivered via a mobile app or web platform, consisting of 10 sequential core modules based on evidence-based CBT-I techniques. Assessments took place at baseline, 12- and 24-weeks post randomization. The primary outcome was the severity of depressive symptoms (Patient Health Questionnaire-9; PHQ-9). Secondary outcomes included insomnia severity, daytime sleepiness, fatigue, well-being and mechanistic effect measures. Linear mixed models were calculated to determine between-group effects. A total of 140 participants (120 women, mean age: <i>M</i> = 39.76 ± 11.65 years) were randomized to dCBT-I (<i>n</i> = 70) or WLC (<i>n</i> = 70). Large treatment effects at 12- and 24 weeks showed significant reductions in depressive symptoms (−3.34 and −2.83; <i>p</i>s &lt;0.001; <i>d</i>s = 0.66–0.78) in the dCBT-I group. Treatment effects in favor of dCBT-I were also found for insomnia severity (<i>d</i>s = 1.46–1.94) and most secondary outcomes (<i>d</i>s = 0.33–1.14). This study demonstrates that digital dCBT-I can be effective not only for individuals with primary insomnia but also for those with depression. These findings align with previous research, highlighting the crucial role of sleep disturbances in depression management. Moreover, the effects remained stable even in the heterogeneous sample investigated in this study, reinforcing the robustness of dCBT-I across diverse patient groups. Thus, dCBT-I emerges as a promising adjunctive treatment. Considering these findings, it is essential to explore the integration of sleep-focused interventions into standard depression treatment.</p>\u0000 <p><b>Trial Registration:</b> German Clinical Trial Registry identifier: DRKS00030919</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/2171041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140782","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":"Association of Prenatal Depression With Second to Fourth Digit Ratio in Children Aged 4 and 6 Years","authors":"Ou Zhang,&nbsp;Yao Chen,&nbsp;Yafei Chen,&nbsp;Ziliang Wang,&nbsp;Qian Sun,&nbsp;Hong Liang,&nbsp;Wei Yuan,&nbsp;Wei Sheng,&nbsp;Maohua Miao","doi":"10.1155/da/6655082","DOIUrl":"https://doi.org/10.1155/da/6655082","url":null,"abstract":"<div>\u0000 <p>Animal studies have indicated that prenatal depression may affect the reproductive development of offspring. The digit ratio has been proposed as a marker of in utero reproductive development. The aim of this study was to explore the association between prenatal depression and the digit ratio (2nd:4th digit ratio (2D:4D)) in children. This study involved 668 mother–child pairs enrolled in the Shanghai–Minhang birth cohort study (S–MBCS). Prenatal depressive symptoms among pregnant women were evaluated during recruitment and late pregnancy using the validated Chinese version of the Center for Epidemiological Studies Depression Scale (CES-D). Measurements of digit lengths of both hands were conducted during follow-up visits at 4 and 6 years. We observed that mothers with prenatal depressive symptoms tended to have offspring with higher digit ratios at 4 and 6 years of age. For children whose mothers experienced depressive symptoms in the second trimester, the digit ratio of the left hand (2D:4DL) at 4 years of age increased by 0.007 (95% CI: 0.000, 0.015) in the subthreshold group and 0.010 (95% CI: 0.001, 0.019) in the screen-positive group. For those with depressive symptoms in the third trimester, the 2D:4DL in the screen-positive group increased by 0.012 (95% CI: 0.001, 0.023) at 4 years of age and 0.014 (95% CI: 0.003, 0.024) at 6 years of age. A dose–response relationship was established for both the strength and duration of depressive symptoms. Our study suggests that prenatal depressive symptoms may perturb the reproductive development of offspring and predominantly exhibit a feminizing effect.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/6655082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140781","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":"Factors Associated With Depression and Anxiety in People With Rare Diseases During COVID-19: A Cross-Sectional Study","authors":"Laura Inhestern,&nbsp;Alba Schwab de la O,&nbsp;David Zybarth,&nbsp;Maja Brandt,&nbsp;Ramona Otto,&nbsp;Martin Härter,&nbsp;Corinna Bergelt","doi":"10.1155/da/9002779","DOIUrl":"https://doi.org/10.1155/da/9002779","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> People living with a rare disease are a vulnerable patient group and experience challenges in participation and healthcare. Due to changes in healthcare and threat of the infection during coronavirus disease 2019 (COVID-19) pandemic, people living with rare diseases have been particularly affected. Therefore, this study aimed to investigate depressive symptoms and symptoms of anxiety during the COVID-19 pandemic and identify factors associated with symptom levels.</p>\u0000 <p><b>Methods:</b> One-hundred and seventy-two people living with a rare disease were recruited from centers for rare diseases and patient organizations in Germany from January 2021 to January 2022. In addition to descriptive analyses and group comparisons, we applied multiple linear regression models to identify factors associated with outcome variables of interest (depressive and anxiety symptoms, assessed by the Hospital Anxiety and Depression Scale [HADS]).</p>\u0000 <p><b>Results:</b> For the depressive symptoms, 14% of the participants reached the cutoff for moderate and 14.5% for a high level of depressive symptoms. Concerning anxiety symptoms, 22% reported moderate levels of anxiety and 13.4% reported high levels of anxiety. Higher depressive symptoms were significantly associated with older age, lower socioeconomic status, having severe or varying symptoms compared to low symptom severity, lower treatment satisfaction, lower social support, and more unmet needs. Higher anxiety levels were associated with more unmet needs and more intense COVID-19-related concerns.</p>\u0000 <p><b>Conclusions:</b> The findings indicate red flags of high symptoms that should be considered during routine care of patients with rare diseases. Healthcare providers should be sensitized for the need for psychosocial support and use a quick assessment to assign patients in need to specific support programs.</p>\u0000 <p><b>Trial Registration:</b> German Clinical Trials Registry: DRKS00020488</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/9002779","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117850","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":"Method Matters: Enhancing Voice-Based Depression Detection With a New Data Collection Framework","authors":"Dan Vilenchik,&nbsp;Julie Cwikel,&nbsp;Yaakob Ezra,&nbsp;Tuvia Hausdorff,&nbsp;Mor Lazarov,&nbsp;Ruslan Sergienko,&nbsp;Rachel Abramovitz,&nbsp;Ilana Schmidt,&nbsp;Alison Stern Perez","doi":"10.1155/da/4839334","DOIUrl":"https://doi.org/10.1155/da/4839334","url":null,"abstract":"<div>\u0000 <p>Depression accounts for a major share of global disability-adjusted life-years (DALYs). Diagnosis typically requires a psychiatrist or lengthy self-assessments, which can be challenging for symptomatic individuals. Developing reliable, noninvasive, and accessible detection methods is a healthcare priority. Voice analysis offers a promising approach for early depression detection, potentially improving treatment access and reducing costs. This paper presents a novel pipeline for depression detection that addresses several critical challenges in the field, including data imbalance, label quality, and model generalizability. Our study utilizes a high-quality, high-depression-prevalence dataset collected from a specialized chronic pain clinic, enabling robust depression detection even with a limited sample size. We obtained a lift in the accuracy of up to 15% over the 50–50 baseline in our 52-patient dataset using a 3-fold cross-validation test (which means the train set is <i>n</i> = 34, std 2.8%, <i>p</i>-value 0.01). We further show that combining voice-only acoustic features with a single self-report question (subject unit of distress [SUDs]) significantly improves predictive accuracy. While relying on SUDs is not always good practice, our data collection setting lacked incentives to misrepresent depression status; SUDs were highly reliable, giving 86% accuracy; adding acoustic features raises it to 92%, exceeding the stand-alone potential of SUDs with a <i>p</i>-value 0.1. Further data collection will enhance accuracy, supporting a rapid, noninvasive depression detection method that overcomes clinical barriers. These findings offer a promising tool for early depression detection across clinical settings.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/4839334","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100714","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 Deteriorated Center-Surround Suppression in Patients With First-Episode and Drug-Naïve Major Depressive Disorder","authors":"Yunyue Zhuang,&nbsp;Weijie Song,&nbsp;Shenbing Kuang,&nbsp;Wei Li,&nbsp;Shujuan Pan,&nbsp;Zhiren Wang,&nbsp;Wei Qu,&nbsp;Jingxu Chen,&nbsp;Yunlong Tan,&nbsp;Chundi Wang,&nbsp;Hu Deng","doi":"10.1155/da/7376934","DOIUrl":"https://doi.org/10.1155/da/7376934","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Major depressive disorder (MDD) patients are often associated with inhibition deficits in the visual cortex. Most previous research has focused on visual inhibition in MDD patients during acute and remission phases, with little research on first-episode and drug-naïve (FEDN) patients. To fill this gap, we psychophysically investigated the inhibitory process of visual motion in patients with FEDN MDD.</p>\u0000 <p><b>Methods:</b> Two psychophysical tasks: Center-Surround Suppression (CSS) and Motion Repulsion (MR) were utilized to investigate the presence of visual perceptual inhibition deficits in patients with FEDN MDD. We collected data from 74 patients with FEDN MDD and 68 healthy controls (HCs) matched for age, years of education, and gender. We also measured the Hamilton Depression Rating Scale, 17-item (HAMD-17) for each patient to assess the severity of depressive symptoms.</p>\u0000 <p><b>Results:</b> The results showed that CSS was significantly deteriorated in FEDN MDD patients (<i>p</i> = 0.001), but it did not correlate with the HAMD score (<i>p</i> &gt; 0.05). In addition, no significant differences were observed between the two groups of subjects in terms of gender, age, and education level (all <i>p</i> &gt; 0.05). Analysis of two previously published datasets using the same CSS task involving MDD patients in different illness stages revealed that the levels of CSS reduction in our FEDN patients were also significantly distinguishable from those in acute and recovered MDD patients (all <i>p</i> &lt; 0.01). This quantitative comparison indicates that CSS impairments are dynamic over the course of illness development. Moreover, the magnitudes of MR showed no significant differences between MDD patients and HCs (all <i>p</i> &gt; 0.05).</p>\u0000 <p><b>Conclusions:</b> Our study was the first to demonstrate the deteriorated CSS in patients with FEDN MDD. Notably, inhibitory deficits in MDD are also highly specific, as MDD affects only the CSS, but not the MR. Therefore, the discrepancy between these two psychophysical tasks suggests CSS may serve as a feasible early marker in MDD. These findings offer new insights into the specific visual cortical deficits in patients with FEDN MDD.</p>\u0000 <p><b>Limitation:</b> The current study lacks imaging data to support the perceptual phenomenon we observed.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/7376934","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144091631","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 Role of Negativity Bias in Emotional and Cognitive Dysregulation: A Neuroimaging Study in Anxiety Disorders","authors":"Stephanie Norris,&nbsp;Frank Salgado,&nbsp;Sydnyy Murray,&nbsp;Daniel Amen,&nbsp;David B. Keator","doi":"10.1155/da/2739947","DOIUrl":"https://doi.org/10.1155/da/2739947","url":null,"abstract":"<div>\u0000 <p>Negativity bias, the cognitive tendency to prioritize negative stimuli, is commonly observed in anxiety disorders and contributes to emotional and cognitive dysregulation. This study investigated the associations between conscious negativity bias, brain function, reported symptoms, and cognitive performance in 1990 patients with anxiety disorders. We hypothesized that greater negativity bias would be linked to altered brain function in regions involved in cognitive control and attention, deficits in memory, stress and anxiety control, resilience, and symptoms of negative affect and emotional instability. Voxel-based analysis of single photon emission computed tomography (SPECT) scans revealed significant hypoperfusion in the frontal, temporal, and parietal lobes, regions critical for cognitive control and emotional regulation. Increased perfusion in cerebellar lobules IV–VI, associated with somatomotor and emotional processing, was also observed. These neural patterns were strongly aligned with patient-reported symptoms, including elevated anxiety, depression, intrusive thoughts, decreased motivation, and suicidal ideation. In addition, cognitive assessments from the total brain platform showed that higher negativity bias was linked to deficits in emotional regulation, memory, stress and anxiety control, and resilience. These findings suggest that negativity bias contributes to widespread brain dysfunction, exacerbating emotional instability, and cognitive control deficits in patients with anxiety disorders. This study highlights the importance of targeting negativity bias in therapeutic interventions to improve emotional and cognitive outcomes. Future research should investigate the neural mechanisms linking negativity bias to mental health outcomes.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/2739947","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100605","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":"Perinatal Anxiety and Depressive Symptoms and Maternal Parenting Behavior During the First Three Years Postpartum: A Systematic Review","authors":"Ana Morais,&nbsp;Rita Pasion,&nbsp;Tiago Miguel Pinto,&nbsp;Giulia Ciuffo,&nbsp;Chiara Ionio,&nbsp;Raquel Costa,&nbsp;Inês Jongenelen,&nbsp;Diogo Lamela","doi":"10.1155/da/1801371","DOIUrl":"https://doi.org/10.1155/da/1801371","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Perinatal anxiety and depressive symptoms are prevalent and may influence parenting behaviors, yet their effects across distinct parenting dimensions remain unclear. Despite frequent co-occurrence, their combined impact is underexplored. Additionally, variability in how parenting behaviors are conceptualized hinders synthesis across studies. Categorizing parenting behaviors into protection, control, and guided learning provides a structured framework for understanding these associations.</p>\u0000 <p><b>Objectives:</b> This review aimed to assess (1) the differential associations between perinatal anxiety,depressive symptoms, and parenting behaviors across the protection, control, and guided learning dimensions, and (2) associations between comorbid anxiety-depressive symptoms and parenting behaviors.</p>\u0000 <p><b>Methods:</b> A systematic search was conducted across four databases in January 2024. Studies were included if they assessed perinatal anxiety and depressive symptoms and their associations with parenting behaviors during the first 3 years postpartum. Parenting behaviors were categorized into protection, control, and guided learning, and risk of bias was systematically evaluated. This review is registered with PROSPERO (CRD42023337333).</p>\u0000 <p><b>Results:</b> From 9673 screened documents, 20 studies met inclusion criteria. Associations were most frequent in the protection dimension, with higher perinatal anxiety and depressive symptoms linked to lower maternal sensitivity and responsiveness. In the control dimension, findings were mixed, with some studies linking maternal anxiety and depressive symptoms to greater controlling behaviors, while others found no significant associations. In the guided learning dimension, null findings predominated, though some studies identified links between higher anxiety, depressive symptom levels, increased intrusiveness, reduced cognitive stimulation, and disengagement. Few studies examined comorbid anxiety and depressive symptoms, but preliminary findings suggest associations with lower maternal sensitivity and reduced guided learning behaviors.</p>\u0000 <p><b>Conclusions:</b> Despite heterogeneity across studies, protection-related parenting behaviors were most consistently associated with perinatal anxiety and depressive symptoms. These findings highlight the need for targeted assessments and interventions to support affected mothers and their children.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/1801371","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085285","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":"From the p-Factor to Cognitive Content: Detection and Discrimination of Psychopathologies Based on Explainable Artificial Intelligence","authors":"Erkan Eyrikaya,&nbsp;İhsan Dağ","doi":"10.1155/da/9943590","DOIUrl":"https://doi.org/10.1155/da/9943590","url":null,"abstract":"<div>\u0000 <p><b>Background and Aims:</b> Differentiating psychopathologies is challenging due to shared underlying mechanisms, such as the <i>p</i>-factor. Nevertheless, recent methodological advances suggest that distinct linguistic markers can help detect and differentiate these conditions. This study aimed to use cognitive content analysis with advanced natural language processing (NLP) and machine learning (ML) to (Study 1) distinguish among control, depression, anxiety, and depressive-anxiety groups and (Study 2) detect general psychopathology.</p>\u0000 <p><b>Methods:</b> Data from 1901 participants (retained from 2551 respondents aged 18–43 years who completed the Beier sentence completion test [BSCT]) were analyzed. For Study 1, groups were formed using the Depression, Anxiety, and Stress Scale (DASS-21); negative mood was assessed via the Positive and Negative Affect Schedule (PANAS). For Study 2, the Brief Symptom Inventory (BSI) categorized general psychopathology and self-reported diagnostic status served as external validation. Two analytic approaches were employed: (1) textual analysis with a bidirectional encoder representations from transformers (BERT) model and (2) subscale-score analysis using a support vector machine (SVM). SHapley Additive exPlanations (SHAP) interpreted the ML models.</p>\u0000 <p><b>Results:</b> In Study 1, the models distinguished control, depression, anxiety, and depressive-anxiety groups. Anxiety was marked by positive content, hope, and I-Talk, whereas depression involved negative, hopeless content. Depressive-anxiety combined features of anxiety with a pronounced negative outlook, suggesting a transitional phase where diminishing hope may bridge anxiety to depression. In Study 2, the models performed high in distinguishing the self-reported pathology diagnosis group (area under the curve [AUC]: 0.81 [BERT], 0.85 [SVM]) from subclinical samples but failed to differentiate the self-reported past diagnosis (AUC: 0.53 [BERT], 0.57 [SVM]) group from controls. This implies that cognitive changes in psychopathology may share a consistent underlying structure like <i>p</i>-factor.</p>\u0000 <p><b>Conclusion:</b> These pioneer findings demonstrate that integrating advanced computational techniques can identify key linguistic markers and guide the development of language-based diagnostic tools, potentially transforming mental health diagnostics.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/9943590","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144091760","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":"Depression in Adolescence: Relevance of Serotonin Receptor Polymorphisms","authors":"Giulia Gizzi,&nbsp;Federico Fiorani,&nbsp;Elisabetta Albi,&nbsp;Samuela Cataldi,&nbsp;Claudia Mazzeschi,&nbsp;Elisa Delvecchio","doi":"10.1155/da/5239931","DOIUrl":"https://doi.org/10.1155/da/5239931","url":null,"abstract":"<div>\u0000 <p>Depression in adolescence is influenced by the environment, family members, social relationships, and genetic factors. Gene polymorphisms of serotonin receptors were associated with mental/psychiatric disorders, including impulsive, aggressive, violent, antisocial or criminal conduct, schizophrenia, eating disorders, alexithymia, autism, and major depressive disorder (MDD). Few studies reported the association between serotonin receptor polymorphisms and depressive symptoms in nonclinical subjects. The present study aimed to evaluate the serotonin receptor polymorphisms in nonclinical adolescents presenting depressive symptoms. The results clearly demonstrated that nonclinical adolescents with severe depressive symptoms had a high concentration of GA + AA in the recessive model and of AA in the homozygous model of the rs6311 polymorphism. The data indicated that the A allele was associated with severe depressive symptoms. Moreover, the analysis highlighted a trend of association of TT + CT in the recessive model for rs6313 polymorphism and severe symptoms. In conclusion, our study confirms that the A allele for rs6311 represents a risk factor, and the allele T for rs6313 could be a possible risk factor for severe depressive symptoms. As a consequence, the allele G for rs6311 and the allele C for rs6313 could be protective against severe depressive symptoms. Therefore, it might be appropriate to work preventively on adolescents with the A allele for rs6311 and T allele for rs6313 polymorphism to reduce the possibility of developing depressive symptoms and to preserve mental health in young people.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/5239931","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085286","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}