Journal of affective disorders最新文献_第8页

A commentary on "The relationship between unhealthy lifestyle behaviors and depression: Evidence from NHANES". 对“不健康的生活方式行为与抑郁症之间的关系：来自NHANES的证据”的评论。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-07-14 DOI: 10.1016/j.jad.2025.119903

JingYing Ma, FaDan Tang, Jue Hu

引用次数: 0

Letter to the editor: Association between overactive bladder and depression in American adults: A cross-sectional study from NHANES 2005-2018. 致编辑的信：美国成年人膀胱过度活动与抑郁症之间的关系：来自NHANES 2005-2018的横断面研究。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-08-13 DOI: 10.1016/j.jad.2025.120055

Linkun Shen, Sheng Li

引用次数: 0

Clarifying outcome data for intermittent theta burst stimulation in adolescents: A response to Liu et al. 澄清青少年间歇性θ波爆发刺激的结果数据：对Liu等人的回应。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-08-05 DOI: 10.1016/j.jad.2025.120036

Matthew Morrissette, Samuel Morrissette

引用次数: 0

Updated insights on memory disorder associated risk of medication: A real-world pharmacovigilance analysis. 记忆障碍相关药物风险的最新见解：现实世界的药物警戒分析。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-08-13 DOI: 10.1016/j.jad.2025.120064

Mingyang Mao, Mei Wang, Qing Yu, Quanshun Chen, Hong Zhu, Tao Wan, Yi Yang, Jie Zhao

{"title":"Updated insights on memory disorder associated risk of medication: A real-world pharmacovigilance analysis.","authors":"Mingyang Mao, Mei Wang, Qing Yu, Quanshun Chen, Hong Zhu, Tao Wan, Yi Yang, Jie Zhao","doi":"10.1016/j.jad.2025.120064","DOIUrl":"10.1016/j.jad.2025.120064","url":null,"abstract":"Objective: This study aims to use the Food and Drug Administration Adverse Event Reporting System (FAERS) to identify medications linked to memory disorders and to offer updated insights into medication-induced memory disorders.Methods: We analyzed adverse event (AE) reports related to memory disorders in the FAERS database from 2004 to 2023 and compiled a list of potential medications along with their associated AEs. The disproportionality analysis was employed to assess the potential associations between medications and memory disorder events.Results: The study identified 194,754 memory-related AEs in the FAERS database, revealing a higher prevalence in females (62.11 %) compared to males (32.76 %). A comprehensive medication list was summarized, comprising 374 potential medications that may contribute to memory disorders. The top 50 medications linked to memory impairment, amnesia, and dementia have been compiled and categorized accordingly. Overall, immunosuppressants represented the medication category with the highest incidence of AEs, followed by immunostimulants, other analgesics and antipyretics, antiepileptics, insulins, antidepressants, angiotensin II receptor blockers, antipsychotics, and lipid-modifying agents. The median time-to-onset (TTO) of memory-related AEs was 59 days (interquartile range [IQR] 1-503), with most medications exhibiting early failure types as determined by the Weibull shape parameter (WSP) analysis. The medications most frequently linked to memory disorders in minors were montelukast, atomoxetine, methylphenidate, lamotrigine, zanamivir, and somatropin.Conclusions: This study presents a comprehensive overview of medications that induce memory disorder from a pharmacovigilance perspective, may offering certain references for clinical practice. However, further research is required necessary to elucidate these associations.","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"120064"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144859233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blood pressure change patterns during pregnancy and neurodevelopment trajectories in early childhood: A birth cohort study. 妊娠期血压变化模式和儿童早期神经发育轨迹：一项出生队列研究。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-07-14 DOI: 10.1016/j.jad.2025.119933

Xinyue Li, Xiuxiu Li, Zijun Yang, Xuemei Liu, Jiayue Zhang, Hualiang Lin, Min Xia, Li Cai, Yanna Zhu, Min Wei, Zilong Zhang, Min Zhang

{"title":"Blood pressure change patterns during pregnancy and neurodevelopment trajectories in early childhood: A birth cohort study.","authors":"Xinyue Li, Xiuxiu Li, Zijun Yang, Xuemei Liu, Jiayue Zhang, Hualiang Lin, Min Xia, Li Cai, Yanna Zhu, Min Wei, Zilong Zhang, Min Zhang","doi":"10.1016/j.jad.2025.119933","DOIUrl":"10.1016/j.jad.2025.119933","url":null,"abstract":"Background: The impact of maternal blood pressure (BP) changes during pregnancy on offspring's neurodevelopment has been understudied. We investigated the associations between maternal BP change patterns and neurodevelopmental trajectories in children.Methods: We included 2084 mother-child pairs from an ongoing birth cohort study launched in 2018 in Shenzhen, China. Maternal BPs were repeatedly measured over pregnancy, and children's neurodevelopment status was evaluated regularly within 2 years after birth. We identified BP and neurodevelopmental trajectories using trajectory modeling, followed by multinomial logistic and robust Poisson regressions to estimate associations, adjusting for multiple confounders.Results: We identified three distinct maternal BP change patterns (\"Moderate-stable\", \"Low-increasing\" and \"High-decreasing\") and three trajectories for global neurodevelopment in children (\"High\", \"Moderate\" and \"Low\"). Compared with children whose mothers in the \"Moderate-stable\" group, those with mothers in the \"High-decreasing\" group were more likely to have slower neurodevelopment [adjusted odds ratio (aOR): 1.397 (95 % CI: 0.998-1.957) for \"Low\" vs \"Moderate\"; 1.593 (95 % CI: 1.068-2.375) for \"Low\" vs \"High\"]. Children with mothers in the \"Low-increasing\" group also had increased risks of delayed neurodevelopment [aOR: 1.357 (95 % CI: 1.014-1.818) for \"Low\" vs \"Moderate\"; 1.416 (95 % CI: 1.005-1.994) for \"Low\" vs \"High\"]. Consistent results were found in domain-specific analyses as children whose mothers had \"Moderate-stable\" BP change patterns generally had better neurodevelopment.Conclusions: We found that a moderate and stable maternal BP during pregnancy was associated with better neurodevelopment in offspring.","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"119933"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144649528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Disruption of the retinoid X receptor-PPAR-γ axis is associated with appetite hormone dysregulation and cognitive dysfunction: A cross-sectional study of adolescents with first-episode bipolar disorder. 维甲酸X受体- ppar -γ轴的破坏与食欲激素失调和认知功能障碍有关：一项对首发双相情感障碍青少年的横断面研究。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-07-12 DOI: 10.1016/j.jad.2025.119908

Mu-Hong Chen, Ju-Wei Hsu, Li-Chi Chen, Shih-Jen Tsai, Ya-Mei Bai

{"title":"Disruption of the retinoid X receptor-PPAR-γ axis is associated with appetite hormone dysregulation and cognitive dysfunction: A cross-sectional study of adolescents with first-episode bipolar disorder.","authors":"Mu-Hong Chen, Ju-Wei Hsu, Li-Chi Chen, Shih-Jen Tsai, Ya-Mei Bai","doi":"10.1016/j.jad.2025.119908","DOIUrl":"10.1016/j.jad.2025.119908","url":null,"abstract":"Background: The role of the retinoid X receptor (RXR) and peroxisome proliferator-activated receptor-γ (PPAR-γ) axis in the pathophysiology of bipolar disorder (BD) remains poorly understood. The relationship of RXR-PPAR-γ axis disruption with cognitive impairment and appetite hormone dysregulation has yet to be clearly established in individuals with BD.Methods: A total of 46 adolescents with first-episode BD and 46 age- and sex-matched neurotypical controls were enrolled in this study. All participants underwent assessments of RXR-α, PPAR-γ, and PPAR-γ coactivator (coA) 1α, as well as appetite-related hormones, including insulin, leptin, and adiponectin. Cognitive performance was evaluated using a visual divided attention task.Results: A generalized linear model with adjustments for demographic characteristics, clinical symptoms, and medication use revealed that BD status was associated with significantly lower levels of PPAR-γ coA 1α (p = 0.029). Lower PPAR-γ coA 1α levels were significantly associated with longer mean reaction times (p = 0.038) and greater variability in reaction time (p = 0.004) during the visual divided attention task and higher insulin levels (p = 0.014).Discussion: Early-stage BD is characterized by the disruption of the RXR-PPAR-γ axis, as indicated by decreased PPAR-γ coA 1α levels. This disruption is further associated with cognitive impairment and appetite hormone dysregulation, particularly involving insulin. This study provides the first known direct evidence associating decreased PPAR-γ coA 1α levels with both impaired cognitive performance and disrupted insulin regulation in adolescents with first-episode BD.","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"119908"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144637003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The sleep-anxiety dysregulation model of alcohol use disorder risk: A nine-year longitudinal machine learning study. 酒精使用障碍风险的睡眠焦虑失调模型：一项为期9年的纵向机器学习研究。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-08-06 DOI: 10.1016/j.jad.2025.120035

Nur Hani Zainal, Natalia Van Doren

{"title":"The sleep-anxiety dysregulation model of alcohol use disorder risk: A nine-year longitudinal machine learning study.","authors":"Nur Hani Zainal, Natalia Van Doren","doi":"10.1016/j.jad.2025.120035","DOIUrl":"10.1016/j.jad.2025.120035","url":null,"abstract":"Background: Sleep disturbances are a known risk factor for alcohol use, yet their long-term predictive value for alcohol use disorder (AUD)-especially in the context of co-occurring anxiety symptoms-remains understudied. The present study thus applied machine learning with internal validation to evaluate how sleep disturbances predict nine-year AUD symptoms in midlife adults. It also introduces the Sleep-Anxiety Dysregulation Model of AUD Risk, which posits that sleep and anxiety symptoms confer shared vulnerability via disrupted arousal regulation.Method: Community-dwelling midlife adults (N = 1,054) completed clinical interviews, self-reports, and a seven-day actigraphy protocol to assess demographics, psychiatric symptoms, anxiety severity, subjective sleep, and objective actigraphy sleep indices. A five-fold nested cross-validated random forest identified potentially nonlinear and interactive predictors. The baseline model included 41 variables.Results: The final multivariable model explained over two-fifths of the variance in nine-year AUD symptoms (R2 = 42.7%, 95% confidence intervals [40.1%-45.8%]). Key baseline predictors of nine-year AUD severity included lower rest-stage activity, sleep discontinuity and fragmentation patterns, and decreased active wake-stage physical movement. Other baseline predictors comprised younger age, higher generalized anxiety disorder, major depression, and panic disorder severity. No subjective sleep disturbances predicted nine-year AUD symptoms.Conclusions: Results underscore the shared contribution of sleep and anxiety disturbances to long-term AUD risk. The proposed Sleep-Anxiety Dysregulation Model of AUD Risk offers an integrative framework suggesting that AUD symptoms may emerge via chronic arousal dysregulation, including heightened physiological reactivity. Externally validating this model may inform preventive strategies targeting distal risk processes underlying AUD.","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"120035"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144799097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The relationship between changes in white matter microstructure and cognition in untreated major depressive disorder. 未经治疗的重度抑郁症患者脑白质微结构变化与认知的关系。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-08-06 DOI: 10.1016/j.jad.2025.120027

Wensheng Chen, Guojun Xie, Caixai Xu, Chunguo Zhang, Jiaquan Liang

{"title":"The relationship between changes in white matter microstructure and cognition in untreated major depressive disorder.","authors":"Wensheng Chen, Guojun Xie, Caixai Xu, Chunguo Zhang, Jiaquan Liang","doi":"10.1016/j.jad.2025.120027","DOIUrl":"10.1016/j.jad.2025.120027","url":null,"abstract":"Background: White matter (WM) microstructural abnormalities and cognitive impairments are commonly observed in depressive disorders. This study aimed to explore the association between WM microstructural alterations and cognitive function in patients with untreated Major Depressive Disorder (UMDD) compared to healthy controls (HCs).Methods: Sixty-one UMDD patients and sixty-five HCs matched for age, gender, and education underwent diffusion tensor imaging (DTI) using a 3.0 T MRI scanner. Fiber tract-based spatial statistics (TBSS) were applied to analyze WM integrity. Cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS).Results: Compared to HCs, UMDD patients exhibited significantly increased axial diffusivity (AD) in the right anterior limb of the internal capsule, splenium of the corpus callosum, right superior longitudinal fasciculus, and body of the corpus callosum. Additionally, mean diffusivity (MD) was elevated in the right superior longitudinal fasciculus. AD values in these regions showed a positive correlation with 24-item Hamilton Rating Scale for Depression (HRSD-24) scores (p ≤ 0.003). MD values in the right superior longitudinal fasciculus were positively correlated with HRSD-24 scores (r = 0.432, p = 0.001) and negatively correlated with RBANS List Learning and Coding scores (p ≤ 0.003).Conclusion: White matter microstructural abnormalities in UMDD patients are associated with depression severity, suggesting that the underlying structural disruptions are an important indicator of functional abnormalities.","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"120027"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144799096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bidirectional causal relationship between depression and Type 2 diabetes: a multi-ancestry and sex stratified Mendelian Randomization analysis. 抑郁症和2型糖尿病的双向因果关系：多祖先和性别分层孟德尔随机分析。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-07-12 DOI: 10.1016/j.jad.2025.119879

Hui-Yu Liu, Jun-Yan Xiang, Qiuhong Xie, Hongyu Xiang

{"title":"Bidirectional causal relationship between depression and Type 2 diabetes: a multi-ancestry and sex stratified Mendelian Randomization analysis.","authors":"Hui-Yu Liu, Jun-Yan Xiang, Qiuhong Xie, Hongyu Xiang","doi":"10.1016/j.jad.2025.119879","DOIUrl":"10.1016/j.jad.2025.119879","url":null,"abstract":"Background: Observational studies have demonstrated a strong correlation between depression and type 2 diabetes (T2D). However, the causal relationships remain poorly understood, particularly in non-European and sex-stratified populations.Methods: A two-sample bidirectional Mendelian randomization (MR) analysis was performed to evaluate the causal relationship between broadly defined depression and T2D across five ancestry groups (European, African, East Asian, South Asian, and Hispanic/Latin American), using the largest available multi-ancestry genome-wide association study (GWAS) data. Additionally, sex-stratified MR analysis was conducted to determine if these causal relationships were sex-specific. Potential mediators of the depression-T2D relationship were further explored through two-step MR analysis.Results: Genetic predisposition to depression was significantly associated with an increased risk of T2D in the European population, but not in other ancestry groups, although the analyses in some non-European cohorts had limited statistical power. Conversely, genetically predicted T2D showed no causal association with depression across any populations. Sex-stratified analysis revealed that the depression-T2D relationship existed in both males and females, while being more significant in females. Mediation analysis suggested that body mass index (BMI) and smoking behavior explained a significant portion of the causal pathway linking depression to T2D.Conclusion: These findings underscore the importance of early screening for depressive symptoms and the promotion of healthy lifestyle interventions, such as weight management and smoking cessation, as preventive strategies for T2D in people with depression. Further research is needed to validate these ancestry- and sex-specific causal effects, especially in populations with limited statistical power.","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"119879"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144636999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning-based predictive model for postpartum post-traumatic stress disorder: A prospective cohort study. 产后创伤后应激障碍的机器学习预测模型：一项前瞻性队列研究。

IF 4.9 2区医学

Journal of affective disorders Pub Date : 2025-12-01 Epub Date: 2025-07-14 DOI: 10.1016/j.jad.2025.119935

Jingfen Chen, Shu Wang, Xiaolu Lai, Linli Zou, Shi Wu Wen, Daniel Krewski, Yang Zhao, Lili Zhang, Ri-Hua Xie

{"title":"Machine learning-based predictive model for postpartum post-traumatic stress disorder: A prospective cohort study.","authors":"Jingfen Chen, Shu Wang, Xiaolu Lai, Linli Zou, Shi Wu Wen, Daniel Krewski, Yang Zhao, Lili Zhang, Ri-Hua Xie","doi":"10.1016/j.jad.2025.119935","DOIUrl":"10.1016/j.jad.2025.119935","url":null,"abstract":"Background: Postpartum Post-Traumatic Stress Disorder (PTSD) is a public health issue affecting both mothers and infants. Early identification of high-risk women for PTSD could mitigate its impacts. This study aimed to develop and validate a machine learning (ML)-based model for predicting PTSD risk in the early postpartum period.Methods: A prospective cohort study collected sociodemographic and clinical, adverse childhood experiences, and biochemical data at 3 days postpartum, with PTSD symptoms assessed at 42 days postpartum. Five ML models were developed using Logistic Regression (LR), Decision Tree, Random Forest, Support Vector Machine, and eXtreme Gradient Boosting. Model performance was assessed using discrimination, calibration, and clinical application in an independent validation cohort, with Area Under the Receiver Operating Characteristic Curves (AUC). The best-performing model was deployed as a web application.Results: A total of 900 postpartum women were included in model development and 300 in the validation cohort. AUCs for the five models ranged from 0.768 to 0.850, with the LR model performing best (AUC of 0.850; 95%CI: 0.776-0.923). The LR model achieved a Brier score of 0.069, sensitivity of 0.844, specificity of 0.724, and F1 score of 0.406. A web-based calculator incorporating 8 predictors was developed for clinical use.Conclusion: This study demonstrates the effectiveness of a ML-based model in predicting postpartum PTSD risk. The developed web-based risk calculator enables early identification of high-risk women, supporting timely and targeted interventions. These findings highlight the potential of ML tools to improve maternal mental health care, though further calibration in independent and diverse cohorts is needed.","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"119935"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144649535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0