Depression and Anxiety最新文献

{"title":"The Impact of Negative Emotions on the Treatment Outcome of Percutaneous Balloon Compression for Idiopathic Trigeminal Neuralgia Patients: A Longitudinal Study","authors":"Chengrong Jiang,&nbsp;Yulong Chong,&nbsp;Chenjun Jiang,&nbsp;Weibang Liang,&nbsp;Chunran Zhu","doi":"10.1155/da/5535907","DOIUrl":"https://doi.org/10.1155/da/5535907","url":null,"abstract":"<div>\u0000 <p><b>Background:</b> Trigeminal neuralgia (TN) is a common yet severe facial pain condition. Percutaneous balloon compression (PBC) is a widely promoted surgical treatment method for TN due to its simplicity and effectiveness. However, patients who undergo PBC present with varying degrees of depression. This study aims to investigate the depressive factors affecting TN patients following PBC.</p>\u0000 <p><b>Methods:</b> The Penn-FPS Scale, Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), BNI Facial Numbness Scale, Pittsburgh Sleep Quality Index (PSQI), and Life Satisfaction Index-B (LSI-B) scale were used to evaluate depressive symptoms in TN patients before and after PBC, as well as at various time points during a 1-year follow-up. Factors impacting postoperative quality of life (QoL) were identified and evaluated.</p>\u0000 <p><b>Findings:</b> Depressive symptoms improved significantly following PBC treatment; however, the presence of these symptoms could lead to delays in TN recovery. Patients with higher preoperative pain score and longer TN course showed better tolerance of numbness following PB surgery. Meanwhile, the degree of numbness was positively related to the duration of balloon compression, while previous treatments for TN were associated with increased risk of depression and anxiety.</p>\u0000 <p><b>Conclusions:</b> PBC is an effective surgery for TN patients. Depressive disorders impact prognosis and should be carefully managed as part of a comprehensive treatment plan to improve the QoL following PBC.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/5535907","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197484","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":"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":"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":"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":"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}

{"title":"Association Between Socioeconomic Status and Neuropsychiatric Symptoms in the UK Biobank: The Moderating Role of Sociability","authors":"Jiahui Xiao,&nbsp;Bingqing Guo,&nbsp;Yuxin Ma,&nbsp;Ninghao Huang,&nbsp;Tao Huang,&nbsp;Hailun Liang","doi":"10.1155/da/1293449","DOIUrl":"https://doi.org/10.1155/da/1293449","url":null,"abstract":"<div>\u0000 <p><b>Introduction:</b> Neuropsychiatric symptoms are signs of cognitive decline and associated disorders. The effects of socioeconomic status and social interaction on cognitive decline have already been well documented. Accordingly, the present study aimed to build on the work investigating those factors and cognitive health by examining the relationships between socioeconomic status, sociability, and neuropsychiatric symptoms.</p>\u0000 <p><b>Methods:</b> Data from the UK Biobank (<i>N</i> = 301,848) were subjected to logistic regressions to examine the relationship between socioeconomic status, sociability, and neuropsychiatric symptoms and sociability to identify any potential moderator in the socioeconomic status-neuropsychiatric symptoms relationship. Specifically, socioeconomic status was defined by the Townsend deprivation index, while sociability was constructed using a cumulative score of four aspects. Meanwhile, neuropsychiatric symptoms were represented by depression, anxiety, and irritability, each of which had a genetic risk score calculated.</p>\u0000 <p><b>Results:</b> Individuals who reported lower socioeconomic status also reported more depression and anxiety, while those with higher sociability reported fewer depression and anxiety. Further, it was found that sociability moderated the relationship between socioeconomic status and two symptoms: depression and anxiety. No significant moderating effects were found regarding irritability.</p>\u0000 <p><b>Conclusion:</b> The study results indicate the need for interventions aimed at neuropsychiatric symptoms to reduce possible cognitive disorders. They also demonstrate the need to eliminate economic and social disparities and the importance of improving sociability.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/1293449","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949785","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":"Profiles and Transitions of Sleep Disturbance and Depression Among Chinese Adolescents: The Predictive Roles of Life Stress and Resilience","authors":"Dan Chen,&nbsp;Haoxian Ye,&nbsp;Luowei Bu,&nbsp;Wenxu Liu,&nbsp;Dongfang Wang,&nbsp;Fang Fan","doi":"10.1155/da/3253107","DOIUrl":"https://doi.org/10.1155/da/3253107","url":null,"abstract":"<div>\u0000 <p><b>Purposes:</b> Sleep disturbance and depression co-occur frequently, yet their co-occurring and transitional nature among adolescents remains underexplored. Meanwhile, few studies have examined the potential predictive effect of environmental factors (e.g., life stress) and individual factors (e.g., resilience) on their interactive profiles and transitions. This study investigated the profiles and transitions of sleep disturbance and depression for Chinese adolescents, along with the predictive role of life stress and resilience in profiles and transitions.</p>\u0000 <p><b>Methods:</b> A total of 17,404 adolescents (<i>M</i>_age = 12.1 ± 1.2 years, ranging from 10 to 17 years; 48.4% of females) were assessed at baseline from April 21 to May 12, 2021 (Time 1, T1), 6 months later from December 17–26, 2021 (Time 2, T2), and 1 year later from May 17 to June 6, 2022 (Time 3, T3). We used latent profile and latent transition analysis (LTA) to explore sleep disturbance and depression profiles and their transitions over time. Multivariate logistic regression was conducted to prove the predictive roles of stress and resilience in these profiles and transitions.</p>\u0000 <p><b>Results:</b> Across all three time points, three profiles were consistently identified: low profile, co-occurring moderate profile, and co-occurring high profile. Three profiles presented distinct transition patterns, with adolescents in co-occurring high profiles displaying the highest level of transitions. The logistic regression suggested that adolescents with more interpersonal and academic stress or less resilience were more likely to belong to or transition into at-risk profiles.</p>\u0000 <p><b>Conclusion:</b> Recognizing subgroup differences is crucial to understanding the co-occurrence and transitions of sleep disturbance and depression. Stress and resilience, particularly interpersonal stress, are significant predictors. This underscores the need importance for dynamically monitoring changes in sleep disturbance and depression, as well as identifying resilience and stress factors, which are essential for developing intervention programs.</p>\u0000 </div>","PeriodicalId":55179,"journal":{"name":"Depression and Anxiety","volume":"2025 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/da/3253107","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944805","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}