Depression and Anxiety最新文献

{"title":"Global, Regional, and National Trends in the Burden of Anxiety Disorders From 1992 to 2021: An Age–Period–Cohort Analysis Based on the Global Burden of Disease Study 2021","authors":"Jiali Zhou,&nbsp;Shuting Li,&nbsp;Yuan Song,&nbsp;Jiayao Ying,&nbsp;Zeyu Luo,&nbsp;Shiyi Shan,&nbsp;Liying Zhou,&nbsp;Jindian Zha,&nbsp;Xin Wang,&nbsp;Peige Song,&nbsp;Jianzhong Yang","doi":"10.1155/da/4178541","DOIUrl":"https://doi.org/10.1155/da/4178541","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Anxiety disorders pose a considerable global health challenge, ranking as the most prevalent type of mental illness. This study delineates the trends in incidence, prevalence, and years lived with disability (YLDs) for anxiety disorders at global, regional, and national levels between 1992 and 2021, with an emphasis on the independent effects of age, period, and birth cohort.</p>\u0000 <p><b>Methods:</b> Incidence, prevalence, and YLDs were selected as burden indicators of anxiety disorders, following the standardized methodologies of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, with data presented as numerical counts and age-standardized rates (ASRs) per 100,000 population. An age-period-cohort (APC) model was applied to estimate the overall annual percentage change (net drift), annual percentage change within each age group (local drift), and the relative risks associated with age, period, and cohort.</p>\u0000 <p><b>Results:</b> From 1992 to 2021, the global age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR) and age-standardized YLDs rate (ASYR) for anxiety disorders showed an overall increase. The APC model estimated a global net drift of 0.16% (95% confidence interval [CI]: 0.03%, 0.30%) for incidence, 0.07% (95% CI: 0.02%, 0.12%) for prevalence, and 0.07% (95% CI: 0.01%, 0.12%) for YLDs. Regionally, the highest ASIR, ASPR, and ASYR were recorded in the high SDI region in 2021, with the Region of the Americas (AMR) showing the highest rates across all three metrics. Among 204 countries/territories, Portugal, Brazil, Lebanon, Iran, and Paraguay ranked as the top five highest for ASIR, ASPR, and ASYR. The age effects on incidence, prevalence, and YLDs followed similar global and regional patterns, with risk initially increasing before declining in older age. The most substantial increase in the period risk of incidence from 1992 to 2021 occurred in high SDI and AMR countries, while prevalence and YLDs saw the largest rise in low-middle SDI region and AMR. A steady increase in the risk of incidence, prevalence, and YLDs was observed across successive birth cohorts globally and regionally.</p>\u0000 <p><b>Conclusion:</b> The global burden of anxiety disorders demonstrated an overall upward trend, with considerable regional, demographic, and temporal variations. These findings provide critical insights for optimizing resource allocation and developing tailored public health strategies to address anxiety disorders.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/4178541","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144612009","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":"Internet Addiction and Depressive Symptoms in University Students: Latent Profiles, Network Structure, and Symptomatic Pathways to Suicide Risk","authors":"Yuan Li,&nbsp;Jing Shi,&nbsp;Biru Luo,&nbsp;Anqi Xiong,&nbsp;Siqi Xiong,&nbsp;Jing Wang,&nbsp;Shujuan Liao","doi":"10.1155/da/4591408","DOIUrl":"https://doi.org/10.1155/da/4591408","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Internet addiction and depression frequently co-occur among university students, resulting in amplified functional deterioration and treatment resistance. Despite established bidirectional relationships, existing research has predominantly examined linear associations and treated these conditions as single global constructs. This study integrated person-centered and network-based approaches to identify distinct symptom profiles of Internet addiction and depressive symptoms, examine sociodemographic predictors of profile membership, and uncover interconnected symptom networks within high-risk populations among Chinese university students.</p>\u0000 <p><b>Methods:</b> A multicenter cross-sectional study was conducted from April to July 2024. Data were collected through a web-based survey incorporating validated instruments for Internet addiction, depression, and suicide risk assessment. Latent profile analysis was employed to identify distinct symptom profiles, followed by multivariate logistic regression to examine sociodemographic predictors. Network analysis was performed within the high-risk profile to unveil symptom interactions, central symptoms, bridge symptoms, and symptomatic pathways to suicide risk.</p>\u0000 <p><b>Results:</b> Among 30,992 participants, latent profile analysis identified three distinct groups: Healthy profile (59.31%), at-risk profile (35.06%), and comorbidity profile (5.63%). Students who were female, ethnic minorities, in higher grade levels, and had prolonged Internet use showed increased risks of problematic profiles. Conversely, enrollment in bachelor’s programs, science and medical majors, higher household income, and regular physical activity demonstrated protective effects. Network analysis revealed Internet preoccupation and fatigue as central symptoms, identified key bridge symptoms (e.g., offline negative affect, difficulty concentrating) linking the symptom clusters, and highlighted Internet withdrawal symptoms and depressed mood as critical pathways to suicide risk within the comorbidity profile.</p>\u0000 <p><b>Conclusion:</b> This study identified distinct profiles of Internet addiction and depression comorbidity, with specific sociodemographic and lifestyle predictors informing targeted screening strategies. Network analysis revealed central symptoms and specific bridge symptoms connecting the conditions, while also identifying critical pathways to suicide risk in the Comorbidity profile, providing empirical evidence for developing precise and effective interventions.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/4591408","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606698","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 Cortical Structural Alterations in Major Depressive Disorder With Suicidal Ideation","authors":"Jiayi Liu,&nbsp;Hongyong Zhang,&nbsp;Yang Wu,&nbsp;Wu Li,&nbsp;Meng Li,&nbsp;Xiaochi Yuan,&nbsp;Cong Zhou,&nbsp;Min Chen,&nbsp;Jingjing Zhou,&nbsp;Jian Cui","doi":"10.1155/da/1706750","DOIUrl":"https://doi.org/10.1155/da/1706750","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Previous studies have documented brain structural changes in major depressive disorder with suicidal ideation (MDDSI). While sex differences in brain structure have been observed in MDD, the specific differences in MDDSI remain underexplored. This study aims to examine sex-specific cortical structural changes in MDDSI patients, with the goal of improving suicide risk assessment and supporting the development of sex-specific interventions.</p>\u0000 <p><b>Methods:</b> High-resolution T1-weighted magnetic resonance imaging (MRI) data were acquired from 177 participants, including 117 patients with MDD (44 males and 73 females) and 60 healthy controls (HC; 23 males and 37 females). Using FreeSurfer, we assessed the main effects of both group and sex, as well as sex-by-group interactions, on cortical thickness (CT), surface area (SA), cortical volume (CV), and local gyrification index (LGI). Pearson partial correlation analysis was performed to examine the associations between sex-specific regions and SI scores.</p>\u0000 <p><b>Results:</b> Patients with MDDSI exhibited significantly reduced LGI in the right inferior and superior parietal cortices, irrespective of sex. Significant sex-by-group interactions were identified and post hoc analyses revealed that male MDDSI patients showed significantly greater CT in the right lingual gyrus (LG) compared to their female counterparts, along with smaller SA in the right lateral occipital cortex (LOC) and reduced CV in the right pericalcarine cortex (PCAL) compared to their sex-matched MDD patients without SI (MDDNonSI). No significant associations were found between these structural changes and SI scores.</p>\u0000 <p><b>Conclusion:</b> This study highlights sex-specific differences in cortical structures in MDDSI patients. These findings contribute to understanding the neurobiological mechanisms underlying MDD with SI.</p>\u0000 <p><b>Trial Registration:</b> Chinese Clinical Trial Registry (ChiCTR): ChiCTR2100049646</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/1706750","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524484","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 and Anxiety in Older Adults: A Comparison Between Online Convenience and Conventional Representative Sampling","authors":"Hana Georgi,&nbsp;Eva Dragomirecká,&nbsp;Zuzana Tichá,&nbsp;Josef Mana","doi":"10.1155/da/2522358","DOIUrl":"https://doi.org/10.1155/da/2522358","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Depression and anxiety are among the most common mental health issues of older populations, and as such they are frequently monitored covariates. The possibilities for collecting research data has grown with the recent emergence of user-friendly online survey platforms. However, to what extent the populations of older persons who participate in such research are similar to the general population remains unclear. We investigated the affective health of an open online sample of older adults (65+) in contrast to a representative randomised in-person interview sample.</p>\u0000 <p><b>Methods:</b> The surveys were conducted in 2021 during the COVID-19 pandemic in the Czech Republic after the second wave of anti-COVID-19 vaccination. The online sample (<i>N</i> = 389) was recruited via the Internet. Participants of the in-person study (<i>N</i> = 633) were randomly approached according to quotas for representativeness. The administered questionnaires included a health status self-report, the Geriatric Depression Scale (GDS) and the Geriatric Anxiety Inventory – Short form (GAI-SF).</p>\u0000 <p><b>Results:</b> Online participants reported better mental and general health; that is, they reported fewer depressive and anxiety symptoms than the randomised representative sample. In both samples, women showed higher levels of anxiety than men. Subjective general health was associated with mental health. In the randomised representative sample, in contrast to the online sample, the level of depression increased significantly with age. The open non-randomised calls for participants attracted a higher percentage of women and people with higher education than are in the general older population.</p>\u0000 <p><b>Conclusions:</b> Older research volunteers recruited online can be expected to be subjectively healthier and to differ largely from the general population in their sociodemographic characteristics.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/2522358","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524486","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":"Altered Global Signal Topography in Major Depressive Disorder With and Without Anxiety","authors":"Huaijin Gao,&nbsp;Rui Qian,&nbsp;Wen Zhu,&nbsp;Yihan Ma,&nbsp;Dan Wu,&nbsp;Zhiyong Zhao","doi":"10.1155/da/3864020","DOIUrl":"https://doi.org/10.1155/da/3864020","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Major depressive disorder (MDD) is a psychiatric disorder characterized by alterations in global signal (GS) topography across various neural networks and brain regions, including the default mode network and sensorimotor-related areas. While previous research has demonstrated the potential of global brain activity measures to differentiate MDD from healthy controls (HCs), specific changes in GS distribution among MDD patients with and without anxiety remain poorly understood. This study aims to investigate anxiety-related alterations in GS topography in MDD and their associations with clinical symptoms.</p>\u0000 <p><b>Methods:</b> Resting-state functional magnetic resonance imaging (fMRI) and T1-weighted imaging data were collected from 334 MDD patients with anxiety, 145 MDD patients without anxiety, and 307 HCs as part of the REST-meta-MDD consortium. We computed GS topography using GS correlation (GSCORR) and assessed structural–functional interaction (SFI) by examining the relationship between gray matter volume and GS for each subject.</p>\u0000 <p><b>Results:</b> Our analysis revealed no significant differences in GS topography among the three groups at either the whole-brain or network levels. However, decreased GSCORR was observed in the right precentral gyrus, insula, and posterior parieto-occipital cortex in anxious MDD patients compared to HC. SFI analyses indicated anxiety-related alterations in the sensorimotor network, precuneus, putamen, and middle temporal gyrus. Moreover, GSCORR in the inferior parietal lobe and cerebellum exhibited specific correlation trends with anxiety and depression symptoms, respectively.</p>\u0000 <p><b>Conclusions:</b> These findings underscore an abnormal topographic shift in global brain activity in MDD patients with anxiety, offering a new insight into understanding brain dysfunction associated with this disorder.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/3864020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524485","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":"Proteomic Biomarkers as Mediators in the Association Between Air Pollution and Incident Depression and Anxiety: Evidence From the UK Biobank","authors":"Mingqia Wang,&nbsp;Yu Ma,&nbsp;Yue Zheng,&nbsp;Yanbao Tao,&nbsp;Wanrong Mu,&nbsp;Liu Yang,&nbsp;Jiayi Li,&nbsp;Zihan Li,&nbsp;Chuan Shi","doi":"10.1155/da/3984517","DOIUrl":"https://doi.org/10.1155/da/3984517","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> The association between ambient air pollution and the onset of depression and anxiety has attracted significant scholarly interest; however, its underlying mechanisms remain elusive.</p>\u0000 <p><b>Objective:</b> The primary objective of this study is to assess the connection between air pollution and the onset of depression and anxiety, with a specific emphasis on uncovering the potential pathways influenced by high-dimensional proteomic markers.</p>\u0000 <p>Design, setting, and participants: This prospective, nationwide population-based cohort study utilized data from the UK Biobank, incorporating an analysis of proteomic data from 38,301 participants.</p>\u0000 <p><b>Method:</b> Air pollution levels for particulate matter (PM) diameters of ≤2.5 μm (PM_2.5), ≤10 μm (PM₁₀), 2.5–10 μm (PM_coarse), nitrogen oxides (NO_x), and nitrogen dioxide (NO₂) were estimated in 2010. The depression and anxiety symptoms were assessed through self-report questionnaires at baseline and at the 7-year follow-up, and diagnoses were determined using ICD-9/10 codes from hospital records. Plasma proteomic data for 1463 proteins was measured using the Olink platform. A two-step regression approach was used to identify proteins associated with both air pollution and depression/anxiety. Mediation analysis was performed using the med4way method.</p>\u0000 <p><b>Results:</b> This longitudinal nationwide study leveraged the UK Biobank cohort to elucidate the protein-mediated effects of five major air pollutants on depression and anxiety. The findings identified 23 proteins mediating the risk of developing depression associated with air pollution, while no mediating proteins were found for anxiety. Additionally, the study discovered 38 proteins linked to the severity of anxiety related to air pollution and nine proteins connected to the severity of depressive symptoms. Notably, KEGG pathway analysis revealed significant associations with critical signaling cascades, such as the estrogen, IL-17, and pathways. Furthermore, STRING analysis underscored the shared roles of specific proteins, including EGFR, IL15, CCL2, and CCL20, in the context of air pollution-induced depression and anxiety, highlighting the involvement of immune-related processes and pathways.</p>\u0000 <p><b>Conclusion:</b> The findings of this large population-based cohort study provide proteomic evidence on the mediating protein associations between air pollution and the onset of depression. The results suggest that the immune system plays a significant role in the biological mechanisms linking air pollution to depression and anxiety.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/3984517","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482117","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":"Childhood Parental Emotions and Depression Among Middle-Aged and Elderly Chinese: The Mediating Role of Adverse Childhood School Neighborhood Friendship Experiences","authors":"Gaoling Wang,&nbsp;Yuanxi Li,&nbsp;Yali Yu,&nbsp;Huiqing Tang,&nbsp;Ying Lu,&nbsp;Shaoliang Tang","doi":"10.1155/da/3083436","DOIUrl":"https://doi.org/10.1155/da/3083436","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> This study aimed to investigate the potential mediation effect of adverse childhood school neighborhood friendship experiences (ACSNFEs) in the relationship between childhood parental emotions and depressive symptoms.</p>\u0000 <p><b>Methods:</b> The study extracted data from 9489 participants from the China Health and Retirement Longitudinal Study (CHARLS) of 2014 and 2020. Depressive symptoms were assessed by the 10-item Center for Epidemiological Studies Depression Scale (CES-D-10). Stepwise regression based on least squares regression models, bootstrap tests, and Karlson–Holm–Breen (KHB)-based logit regression models were applied to analyze.</p>\u0000 <p><b>Results:</b> Negative childhood parental emotions (<i>β</i> = 0.2030 and <i>p</i> &lt; 0.001), negative childhood mother’s emotions (<i>β</i> = 0.3399 and <i>p</i> &lt; 0.001), and negative childhood father’s emotions (<i>β</i> = 0.3866 and <i>p</i> &lt; 0.001) were all significantly associated with higher severity of depressive symptoms. Bootstrap tests showed that the proportion of ACSNFEs mediated for childhood parental emotions was 14.03%. For childhood mother’s emotions and childhood father’s emotions, the mediating proportions were 15.32% and 13.57%, respectively. Moreover, KHB tests showed that the mediating effect still existed.</p>\u0000 <p><b>Conclusions:</b> The association between childhood parental emotions and depressive symptoms was partly mediated by ACSNFEs. Focus on developing parental emotional management ability, actively guiding parents to help children develop high-quality friendships, and promoting the development of psychological health.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/3083436","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482201","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":"Polycystic Ovary Syndrome and the Risk of Premenstrual Disorders: A Nationwide Register-Based Study in Sweden","authors":"Marion Opatowski,&nbsp;Jenny Deng,&nbsp;Qian Yang,&nbsp;Anna Sara Oberg,&nbsp;Carolyn E. Cesta,&nbsp;Donghao Lu","doi":"10.1155/da/8226088","DOIUrl":"https://doi.org/10.1155/da/8226088","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders affecting women of reproductive age. It has been linked to a range of psychiatric disorders. Although premenstrual disorders (PMDs) are characterized by psychiatric symptoms in tandem with hormone changes controlled by the endocrine system, the association between PCOS and PMDs remains unknown.</p>\u0000 <p><b>Methods:</b> We conducted a nationwide register-based cohort study including 2,965,178 females during 2001–2018 in Sweden. Individuals with PCOS were identified from clinical diagnoses recorded in the Swedish national registers (<i>n</i> = 41,515) and PMDs were identified based on clinical diagnoses and prescriptions with a clear indication of PMDs during follow-up. Using multivariable Cox regression, hazard ratio (HRs) of PMDs were estimated by comparing individuals with PCOS to those without. To account for confounders such as genetics or family environment, we conducted sibling comparison (<i>N</i> = 160,566).</p>\u0000 <p><b>Results:</b> During a median follow-up of 15.3 years, 1308 (1.9%) individuals with PCOS had a premenstrual disorder (PMD) (4.67/1000 person-years). Compared to individuals without PCOS they had more than doubled risk of PMDs (age-adjusted HR: 2.26, 95% CI 2.14– 2.39). The association was attenuated after adjustment for demographic and socioeconomic factors as well as for comorbid psychiatric disorders and obesity yet remained significant (HR: 1.54, 95% CI 1.46–1.63). The sibling comparison showed similar findings (full-adjusted HR: 1.61, 95% CI 1.36–1.92). The association between PCOS and PMDs remained statistically significant regardless of the presence of psychiatric comorbidities, with HR of 1.33 (95% CI 1.20–1.47) for individuals with psychiatric comorbidities and 1.55 (95% CI 1.45–1.65) for those without.</p>\u0000 <p><b>Conclusions:</b> Our findings suggest that individuals diagnosed with PCOS were at increased risk for PMDs. This association could not be entirely explained by shared risk factors, including such that sisters share.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/8226088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473070","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":"Identifying Risk and Protective Factors Impacting the Clinical Outcomes of Subthreshold Anxiety in Early Adolescents: Insights From the ABCD Study","authors":"Chen Keyin,&nbsp;Li Qian,&nbsp;Zhang Jiayuan,&nbsp;Niu Lijing,&nbsp;Dai Haowei,&nbsp;Peng lanxin,&nbsp;Wang Xingqin,&nbsp;Ma Qing,&nbsp;Zhang Ruibin","doi":"10.1155/da/6514030","DOIUrl":"https://doi.org/10.1155/da/6514030","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Subthreshold anxiety (STA) is a significant risk factor for developing anxiety disorder (AX), particularly in adolescence. Understanding the risk and protective factors of the development of STA in early life is essential for early prevention and intervention efforts. However, research on this topic is scarce.</p>\u0000 <p><b>Methods:</b> We examined the data of 11,876 early adolescents from the Adolescent Brain and Cognitive Development (ABCD) Study to explore the factors influencing the development of STA between ages 9 and 13. The outcomes included developing AX, persistent STA, and remission from STA. Using the Child Behavior Checklist (CBCL), we identified 786 participants with STA. To predict STA transitions, we analyzed 31 diathesis-stress-related variables covering demographics, mental and physical health, and environmental factors, employing logistic regression.</p>\u0000 <p><b>Results:</b> Compared to baseline healthy controls (HCs), adolescents with STA showed an odds ratio (OR) of 6.9 for converting to AX. The pivotal risk factors for progression from STA to AX were lack of perseverance and area deprivation, with females being more likely to maintain STA. Protective factors for a favorable prognosis of STA included the absence of traumatic history, lack of premeditation, increased physical activity, and positive school environment.</p>\u0000 <p><b>Conclusions:</b> Healing traumatic experiences, increased physical activity, and enhancing school and family environments could help prevent adverse outcomes. By targeting these modifiable factors, adolescents at high risk can be identified and provided with interventions early in life.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/6514030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482055","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":"Correction to “Skin Conductance Reactivity as a Predictor of Stroke-Induced Posttraumatic Stress Disorder Symptoms: A Dimensional Approach”","authors":"","doi":"10.1155/da/9859304","DOIUrl":"https://doi.org/10.1155/da/9859304","url":null,"abstract":"<p>C. Meinhausen, G. J. Sanchez, D. Edmondson, et al., “Skin Conductance Reactivity as a Predictor of Stroke-Induced Posttraumatic Stress Disorder Symptoms: A Dimensional Approach,” <i>Depression and Anxiety</i> 2023, no. 1 (2023): 1–12, https://doi.org/10.1155/2023/6671337.</p><p>In the article, there are errors in the reported <i>p</i>-values found in Paragraph 2 of Subsection 3.2, “In-Hospital SC Reactivity and PTSD Symptoms After Stroke/TIA”. The correct sentence is shown below:</p><p>“In fully adjusted models that accounted for age, gender, stroke severity, medical comorbidity, and psychosocial risk factors, SC reactivity remained significantly positively associated with higher-order fear symptoms (<i>β</i> = 0.36, <i>p</i> = 0.008) and lower-order anxious arousal (<i>β</i> = 0.32, <i>p</i> = 0.011) and avoidance symptoms (<i>β</i> = 0.27, <i>p</i> = 0.047; Table 3).”</p><p>We apologize for this error.</p>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/9859304","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336084","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}