BMC Psychiatry最新文献

{"title":"Study protocol for a stepped-wedge, randomized controlled trial to evaluate implementation of a suicide risk identification model among behavioral health patients in three large health systems.","authors":"Scott P Stumbo, Stephanie A Hooker, Rebecca C Rossom, Kathleen Miley, Brian K Ahmedani, Elizabeth Lockhart, Hseuh-Han Yeh, Bobbi Jo H Yarborough","doi":"10.1186/s12888-025-06760-0","DOIUrl":"https://doi.org/10.1186/s12888-025-06760-0","url":null,"abstract":"<p><strong>Background: </strong>Age-adjusted suicide rates have increased in the U.S. over the past 25 years. Algorithm-based methods for identifying individuals at risk for suicide based on electronic health record and claims data have been validated but few studies have evaluated implementation or effects on population-level suicide attempt rates.</p><p><strong>Methods: </strong>This hybrid type I effectiveness-implementation pragmatic clinical trial will test a suicide risk identification model in behavioral health clinics at three large health systems. Local decision-makers will determine implementation specifics at each site. Clinics within each health system will be randomized to determine order of implementation. A stepped-wedge design using repeated measures pre/post-implementation maximizes statistical efficiency and power with fewer participants compared to a parallel design while allowing all clinics to participate. A pre-implementation period will serve as the baseline. The primary outcome will be the rate of suicide attempt per 1000 visits at 90- and 180-days following a behavioral health visit in which an individual was identified by the suicide risk model compared with the baseline period (no use of suicide risk model). Secondary outcomes include identification of suicide risk and recognition of individuals at risk for suicide (e.g., completed risk assessment), both compared to the baseline period. Generalized linear mixed models will be used to account for clustering within clinics and repeated measures over time, adjusting for relevant covariates to estimate the effect of the suicide risk model on outcomes. Implementation outcomes, including system-level determinants and clinician acceptance and use of the suicide risk model, will also be measured.</p><p><strong>Conclusions: </strong>Few suicide risk models derived from administrative and clinical data have been tested in real world care settings. This trial will determine whether the use of such a risk model reduces suicide attempts compared to usual care. By describing important implementation factors, use of such risk models, if effective, may be accelerated for other health care systems.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov NCT06060535.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"344"},"PeriodicalIF":3.4,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143810264","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}

{"title":"Impact of weighted blankets on sleep disturbance among children with attention deficit hyperactivity disorders (ADHD): study protocol for a pragmatic randomised controlled trial.","authors":"Jeanett Friis Rohde, Elisabeth Ginnerup-Nielsen, Sofus Christian Larsen, Camilla Tjott, Robin Christensen, Berit Lilienthal Heitmann, Eva Ejlersen Waehrens, Anne Katrine Pagsberg, Ina Olmer Specht","doi":"10.1186/s12888-025-06768-6","DOIUrl":"https://doi.org/10.1186/s12888-025-06768-6","url":null,"abstract":"<p><strong>Introduction: </strong>Sleep disturbances are common among children with attention deficit hyperactivity disorder (ADHD) and may affect well-being. Weighted blankets have been proposed to reduce restlessness via sensory integration by stimulating the tactile and proprioceptive senses. Evidence for an effect on sleep and functional impairment is however sparse. We here describe a trial which aims to compare the effect of using a weighted blanket relative to a non-weighted sham blanket on total sleep time in children with ADHD.</p><p><strong>Methods: </strong>A parallel group randomised controlled trial will be conducted. We anticipate enrolling 340 patients from six public and one private child and adolescent mental health centres in the Capital Region of Denmark. Patients are aged 5 to 12 years, diagnosed with ADHD or attention deficit disorders (ADD) according. Patients will be randomly allocated (1:1) to either a weighted or non-weighted blanket as add-on to usual treatment. The allocation sequence will be stratified by age (5-8 years vs. 9-12 years), ADHD medication (yes vs. no) and use of sleep medication (yes vs. no). Patients in both groups will be guided in using the weighted- or non-weighted blanket every night and at least once daily for four weeks. The primary outcome will be change from baseline to end of trial 4 weeks from baseline in average total night sleep time, assessed with sleep actigraphy. Secondary outcomes are child functioning impairment, sleep onset latency, number of awakenings, sleep efficiency, ADHD core symptoms, quality of life, and parental quality of life and stress. Main analyses for the efficacy outcomes will be assessed using intention-to-treat analysis. All results from statistical analyses on key secondary endpoints will be accompanied by two-sided 95% CIs and corresponding p values.</p><p><strong>Discussion: </strong>The implication of this trial holds the potential to have substantial impact on clinical practices and health policy. The research findings could establish an evidence-based, non-pharmacological approach for children with ADHD and sleep problems.</p><p><strong>Trial registration: </strong>The study protocol is registered on ClinicalTrials.gov no. NCT06194162. Registered on January 8, 2024.</p><p><strong>Protocol version: </strong>Version 1.0.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"345"},"PeriodicalIF":3.4,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143810255","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}

{"title":"Predicting the treatment outcomes of major depressive disorder interventions with baseline resting-state functional connectivity: a meta-analysis.","authors":"Yanyao Zhou, Na Dong, Letian Lei, Dorita H F Chang, Charlene L M Lam","doi":"10.1186/s12888-025-06728-0","DOIUrl":"10.1186/s12888-025-06728-0","url":null,"abstract":"<p><strong>Background: </strong>Current interventions for major depressive disorder (MDD) demonstrate limited and heterogeneous efficacy, highlighting the need for improving the precision of treatment. Although findings have been mixed, resting-state functional connectivity (rsFC) at baseline shows promise as a predictive biomarker. This meta-analysis evaluates the evidence for baseline rsFC as a predictor of treatment outcomes of MDD interventions.</p><p><strong>Method: </strong>We included MDD literature published between 2012 and 2024 that used antidepressants, non-invasive brain stimulation, and cognitive behavioral therapy. Pearson correlations or their equivalents were analyzed between baseline rsFC and treatment outcome. Nodes were categorized according to the type of brain networks they belong to, and pooled coefficients were generated for rsFC connections reported by more than three studies.</p><p><strong>Result: </strong>Among the 16 included studies and 892 MDD patients, data from nine studies were used to generate pooled coefficients for the rsFC connection between the frontoparietal network (FPN) and default mode network (DMN), and within the DMN (six studies each, with three overlapping studies, involving 534 and 300 patients, respectively). The rsFC between the DMN and FPN had a pooled predictability of -0.060 (p = 0.171, fixed effect model), and the rsFC within the DMN had a pooled predictability of 0.207 (p < 0.001, fixed effect model). The rsFC between the DMN and FPN and the rsFC within the DMN had a larger effect in predicting the outcome of non-invasive brain stimulation (-0.215, p < 0.001, fixed effect model) and antidepressants (0.315, p < 0.001, fixed effect model), respectively. Heterogeneity was observed in both types of rsFC, study design, sample characteristics and data analysis pipeline.</p><p><strong>Conclusion: </strong>Baseline rsFC within the DMN and between the DMN and FPN demonstrated a small but differential predictive effect on the outcome of antidepressants and non-invasive brain stimulation, respectively. The small predictability of rsFC suggested that rsFC between the FPN and DMN and the rsFC within the DMN might not be a good biomarker for predicting treatment outcome. Future research should focus on exploring treatment-specific predictions of baseline rsFC and its predictive utility for other types of MDD interventions.</p><p><strong>Trial registration: </strong>The review was pre-registered at PROSPERO CRD42022370235 (33).</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"340"},"PeriodicalIF":3.4,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802304","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}

{"title":"The mediating role of rehabilitation status on the association between socioeconomic status and quality of life among individuals with severe mental illness.","authors":"Jianwen Zhu, Jie Fu, Yang Wang, Jiajia Dong, Xia Zhang, Sizhe Wang, Lu Wen, Hong Fan","doi":"10.1186/s12888-025-06782-8","DOIUrl":"10.1186/s12888-025-06782-8","url":null,"abstract":"<p><strong>Background: </strong>Individuals with severe mental illness (SMI) often experience lower socioeconomic status (SES) and rehabilitation status, leading to a poorer quality of life (QoL). This study aimed to explore whether rehabilitation status serves as a mediating factor in the relationship between SES and QoL in individuals with SMI.</p><p><strong>Methods: </strong>A total of 1,105 individuals with SMI from 23 community health centers in Nanjing were recruited through a random sampling method. The General Information Questionnaire, the Morning Side Rehabilitation Status Scale and the Medical Outcomes Study Short Form 36-item Survey were used for assessment. Latent class analysis was employed to categorize patients' SES based on five socioeconomic indicators. Spearman's rank correlation analysis was used to investigate the relationships between SES, rehabilitation status, and QoL. Path analysis was used to estimate the direct effect between SES on QoL and the indirect effect mediated by rehabilitation status.</p><p><strong>Results: </strong>The 1,105 patients were categorized into two groups based on their SES: low SES (796 patients, 72%) and high SES (309 patients, 28%). The findings revealed a negative correlation between SES and rehabilitation scores (r = -0.142, p < 0.001), whereas a positive correlation was observed between SES and QoL (r = 0.180, p < 0.001). Furthermore, a negative correlation was found between rehabilitation scores and QoL (r = -0.608, p < 0.001). The study also found that the relationship between SES and QoL was partially mediated by rehabilitation status, with a mediating effect value of 32%.</p><p><strong>Conclusions: </strong>Individuals with SMI experience impaired QoL, which may be improved by addressing both SES and rehabilitation status.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"339"},"PeriodicalIF":3.4,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802305","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}

{"title":"Obsessive-compulsive disorder and temporal lobe porencephaly: a case report.","authors":"Gaoju Deng, Yuan Cao, Changjian Qiu","doi":"10.1186/s12888-025-06774-8","DOIUrl":"10.1186/s12888-025-06774-8","url":null,"abstract":"<p><strong>Background: </strong>The functional and structural abnormalities of cortico-striato-thalamo-cortex have been reported to be associated with the neurobiological basis of obsessive-compulsive disorder (OCD). OCD can also occur in the striatum damaging after brain infarction, which is called OCD caused by physical diseases. The relationship and mechanism between temporal lobe abnormalities and OCD are still unclear.</p><p><strong>Case presentation: </strong>A young male with temporal lobe porencephaly presented with obsessive-compulsive symptoms. The cognition of this OCD participant was not significantly impaired, and his social function was well maintained. After treatment with sertraline, aripiprazole, and fluvoxamine, he was improved but relapsed several times after drug withdrawal. However, the therapeutic effect was sustained upon reinitiation of the medication.</p><p><strong>Conclusion: </strong>This is the first reported case of OCD in an individual with left temporal lobe porencephaly. The possible relationship between obsessive-compulsive symptoms and temporal lobe structural abnormalities needs to be further studied. The maintenance treatment and prognosis of organic obsessive-compulsive disorder also deserve further study.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"341"},"PeriodicalIF":3.4,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802302","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}

{"title":"Bayesian joint longitudinal and survival modeling of bipolar symptom burden and time to symptomatic recovery of patients with bipolar disorder at Jimma University Medical Center, Jimma, Ethiopia.","authors":"Tefera Fufa Kulute, Geremew Muleta Akessa, Demeke Kifle","doi":"10.1186/s12888-025-06776-6","DOIUrl":"10.1186/s12888-025-06776-6","url":null,"abstract":"<p><strong>Background: </strong>Bipolar disorder is a mental health problem that primarily affects mood. Symptoms of bipolar disorder are extreme irritability or agitation, a period of feeling empty, loss of interest in usual activities, sleep problems Etc. Symptomatic recovery is a dimensional measure that refers to improvement in the magnitude of symptoms. This investigation aims to determine the association between the burden of symptoms and time to symptomatic recovery of bipolar disorder that may increase more awareness about this disorder.</p><p><strong>Methods: </strong>A Bayesian joint modeling of longitudinal and survival data was proposed to examine the association between the burden of symptoms and time to symptomatic recovery of bipolar disordered individuals at Jimma University Medical Center, Jimma, Ethiopia. The data in this investigation were retrospective longitudinal data and survival data from all the admitted follow-up of bipolar disorder patients from September 2018 to January 2020.</p><p><strong>Results: </strong>From the total of 257 bipolar disorders, about 116(45.1%) of them experienced an event of recovery. The time interval of follow up, age, the interaction between time interval of follow up and adolescent first onset of the disease, the interaction between time interval of follow up and event of relapse, the interaction between linear time interval of follow up and existence of other cofactors, and the interaction of substance abuse and chewing khat have significantly affected the log expected burden of bipolar symptoms. In survival sub-models, the covariates; divorced, event of relapse, mixed type of episodes significantly affect the time to symptomatic recovery at 95% confidence level. The association between burden of bipolar symptoms and time-to- symptomatic recovery is explained by α₀ = - 8.403 with a [- 11.157,- 6.576]. It associates longitudinal count, the burden of symptoms, and time-to-symptomatic recovery of bipolar disorder using shared random effect parameters. There was a significant negative relationship between the subject-specific random intercept (baseline) of the burden of symptoms and the time to symptomatic recovery of bipolar disorder. Their 95% credible intervals exclude zero.</p><p><strong>Conclusions: </strong>This study using the Bayesian joint modeling of longitudinal and survival has revealed a strong negative relationship between the event of recovery and the burden of bipolar symptoms at the baseline time. The study indicates that at the beginning, since the burden of bipolar symptoms is high, the chance of symptomatic recovery is low. And, we hypothesize that individuals with a higher initial symptom burden or a slower rate of symptom reduction (captured by b_i) will experience a longer time to recovery. So, bipolar disorders at the initial follow-up need exceptional service and treatment.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"337"},"PeriodicalIF":3.4,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971879/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787700","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 augmentative efficacy of second-generation anti-psychotics (SGA) to anti-depressants in treating treatment-resistant depression: a network meta-regression analysis.","authors":"Binru Bai, Yuwei Li, Xi Chen, Jinsong Huang, Qiaoling Chen, Xinyuan Du, Chengfang Huang, Yi Yang","doi":"10.1186/s12888-025-06783-7","DOIUrl":"10.1186/s12888-025-06783-7","url":null,"abstract":"<p><strong>Background: </strong>To compare the augmentative efficacy of second-generation anti-psychotics (SGA) to anti-depressants in adult patients with treatment-resistant depression (TRD) adjusting follow-up period and explore the underlying\"time window\"effects of the regimens.</p><p><strong>Methods: </strong>Databases included Embase, PubMed, Scopus, Cochrane Library and Google Scholars as well as Clinicaltrials.gov from inception to May 15, 2024, for relevant randomized controlled studies (RCTs) were retrieved. The primary endpoint was Montgomery Asberg Depression Rating Scale (MADRS). The secondary endpoint was MADRS response rate. The tertiary endpoints were Clinical Global Impression-severity (CGI-S) and MADRS remission rate. Standard mean difference (SMD) and hazard ratio (HR) were generated by Bayesian network meta-regression (NMR) for pairwise comparisons on dichotomous and consecutive variants, respectively.</p><p><strong>Results: </strong>A total of 23 studies (N = 10679) with 24 augmentation agents were included in the NMR. For the primary endpoint, compared with ADT, aripiprazole 3 - 12 mg/d, brexpiprazole 1 - 3 mg/d, cariprazine 1.5 - 3 mg/d, olanzapine 6 - 12 mg/d and fluoxetine 25 - 50 mg/d combination, and quetiapine XR were significantly effective (SMD ranged from - 0.28 to - 0.114) and their effect sizes were comparable, after adjusting follow-up period, the results resembled the former except for quetiapine XR (SMD = - 0.10, 95%CI: - 0.212 to 0.014). Brexpiprazole 3 mg/d (7.22 weeks), cariprazine 1 - 2 mg/d (2.97 weeks), cariprazine 2-4.5 mg/d (2.81 weeks), cariprazine 3 mg/d (7.16 weeks), olanzapine 6 - 12 mg/d (4.11 weeks) and quetiapine 150 - 300 mg/d (3.89 weeks) showed\"time window\". For the secondary endpoint, brexpiprazole 3 mg/d and rispridone 0.5 - 3 mg/d was evidently superior to all others (HR ranged from 1.748 to 2.301). For the tertiary endpoints, as for CGI-S, aripiprazole 2 - 20 mg/d, brexpiprazole 2 - 3 mg/d, cariprazine 3 mg/d, olanzapine 6 - 12 mg/d and fluoxetine 25 - 50 mg/d combination, and rispridone 0.5 - 3 mg/d were conspicuously effective compared with ADT (SMD ranged from - 0.438 to - 0.126) and for MADRS remission rate, aripiprazole 2 - 20 mg/d, brexpiprazole 3 mg/d, cariprazine 3 mg/d, rispridone 0.5 - 3 mg/d were conspicuously effective compared with ADT (HR ranged from 0.477 to 3.326).</p><p><strong>Conclusion: </strong>Holistically considering each endpoint and corresponding \"time window\", certain SGAs appeared to be efficient augmentation to anti-depressants for TRD, but aripiprazole was relatively more effective and better tolerated.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"338"},"PeriodicalIF":3.4,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11972498/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787804","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":"Associations between amino acid levels and autism spectrum disorder severity.","authors":"Jing Li, Panpan Zhai, Liangliang Bi, Ying Wang, Xiaoqing Yang, Yueli Yang, Nan Li, Weili Dang, Gang Feng, Pei Li, Yuan Liu, Qiushuang Zhang, Xiaofeng Mei","doi":"10.1186/s12888-025-06771-x","DOIUrl":"10.1186/s12888-025-06771-x","url":null,"abstract":"<p><strong>Background: </strong>Autism spectrum disorder (ASD) imposes a significant burden on both patients and society. Amino acid metabolism abnormalities are particularly relevant to ASD pathology due to their crucial role in neurotransmitter synthesis, synaptic function, and overall neurodevelopment. This study aims to explore the association between amino acid metabolic abnormalities and the severity of ASD by analyzing the amino acid concentrations in the blood of children with ASD.</p><p><strong>Methods: </strong>Fasting peripheral blood samples were collected from 344 children with ASD, and amino acid concentrations were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS) while strictly following quality control measures. The association between amino acid concentrations and ASD severity was evaluated using logistic regression and restricted cubic spline (RCS) analysis. The ROC (receiver operating characteristic) curve, decision curve analysis (DCA), and calibration curve were used to construct and validate predictive models and nomograms, thereby assessing their predictive performance.</p><p><strong>Results: </strong>Multivariate logistic regression analysis showed that aspartic acid (OR = 1.037, 95% CI: 1.009-1.068, P = 0.01), glutamic acid (OR = 1.009, 95% CI: 1.001-1.017, P = 0.03), phenylalanine (OR = 1.036, 95% CI: 1.003-1.072, P = 0.04), and leucine/isoleucine (OR = 1.021, 95% CI: 1.006-1.039, P = 0.01) were significantly positively correlated with the severity of ASD. On the other hand, tryptophan (OR = 0.935, 95% CI: 0.903-0.965, P < 0.01) and valine (OR = 0.987, 95% CI: 0.977-0.997, P = 0.01) were significantly negatively correlated with the severity of ASD. RCS analysis further revealed a nonlinear relationship between the concentrations of aspartic acid, proline, and glutamic acid and the risk of ASD. ROC curve analysis showed that the combined model achieved an AUC (area under the curve) of 0.806, indicating high diagnostic accuracy. Calibration and decision curve analysis further validated the predictive effectiveness and clinical utility of the model.</p><p><strong>Conclusions: </strong>This study identifies potential amino acid biomarkers that may contribute to ASD severity assessment. Further research is needed to validate these findings and explore their clinical utility.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"332"},"PeriodicalIF":3.4,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11969702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787766","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":"Associations between neuropsychiatric symptoms and motoric cognitive risk syndrome.","authors":"Fei-Fei Jia, Chun-Xiao Liu, Shao-Min Cheng, Xiao-Yu Qian, Cong-di Wang","doi":"10.1186/s12888-025-06770-y","DOIUrl":"10.1186/s12888-025-06770-y","url":null,"abstract":"<p><strong>Introduction: </strong>We examined the association between neuropsychiatric symptoms (NPS) and motoric cognitive risk syndrome (MCR), a predementia condition indicating a higher risk for dementia.</p><p><strong>Methods: </strong>A sample of 2800 older adults (≥ 65 years) was analyzed using binomial logistic regression to investigate the cross-sectional relationship between specific NPS and MCR. Additionally, a longitudinal analysis involving 1352 adults explored whether baseline NPS predicted incident MCR risk.</p><p><strong>Results: </strong>Subjects with MCR exhibited higher prevalence of NPS. The most common NPS in MCR were affective symptoms: apathy (71.5%), anxiety (55.4%), and depression (45.7%). The prevalence of specific NPS in MCR was higher for hallucinations (OR = 1.76, 95% CI = 1.23-2.51), sleep impairment (OR = 1.40, 95% CI = 1.14-1.73), apathy (OR = 3.31, 95% CI = 2.67-4.10), delusions (OR = 1.88, 95% CI = 1.25-2.84), irritability (OR = 1.98, 95% CI = 1.56-2.53), depression (OR = 1.71, 95% CI = 1.49-1.98), and anxiety (OR = 1.92, 95% CI = 1.62-2.28). Longitudinally, baseline apathy (OR = 1.68, 95% CI = 1.17-2.42), depression (OR = 1.70, 95% CI = 1.31-2.21), and anxiety (OR = 1.68, 95% CI = 1.23-2.31) significantly predicted incident MCR (p < 0.005).</p><p><strong>Conclusions: </strong>Findings suggest that apathy, depression, and anxiety are predictive of MCR, underscoring the importance of NPS screening in identifying individuals at risk. Early detection could facilitate the development of interventions to prevent dementia.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"336"},"PeriodicalIF":3.4,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971857/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787770","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 social participation and patterns with depression: analysis of data from the China health and retirement longitudinal study.","authors":"Dongxu Chen, Sainan Duan, Jing Shi, Xiaoqin Jiang, Yida Wang","doi":"10.1186/s12888-025-06692-9","DOIUrl":"10.1186/s12888-025-06692-9","url":null,"abstract":"<p><strong>Background: </strong>Considering the significance of self-reported social participation in the context of depression, patterns of social engagement may influence the onset and progression of depressive disorders. This study aimed to elucidate the relationship between social behaviors and depressive symptoms.</p><p><strong>Methods: </strong>Utilizing data from the China Health and Retirement Longitudinal Study (CHARLS) over a nine-year span, we enrolled 9415 participants without depression in 2011 and monitored them for depressive symptoms until 2020. Baseline data included ten items related to social activities. We investigated the correlation between these social activity-related items, their major patterns, and the emergence of depressive symptoms, alongside varying depressive trajectories.</p><p><strong>Results: </strong>Individual analysis of social activity-related items demonstrated significant correlations with a decreased risk of developing new depressive symptoms and adverse depressive trajectories. Pattern analysis indicated that a higher level of engagement in activities such as frequent interactions with friends (odds ratio [OR] = 0.79, 95% confidence interval [CI] 0.70-0.89), participation in diverse societal activities (OR = 0.70, CI 0.62-0.80), and a combined pattern of internet use and friend interactions (OR = 0.60, CI 0.41-0.79) was associated with a lower risk of depression onset. Compared to individuals categorized in the societal isolation group, those with a higher adherence to these activity patterns exhibited a decreased risk of developing unfavorable depressive trajectories (ORs = 0.39 to 0.83).</p><p><strong>Conclusions: </strong>Patterns of social engagement, particularly frequent interactions with friends, participation in a variety of societal activities, and the combined use of the internet with friend interactions, were inversely related to the risk of depression onset and worsening depressive trajectories. These findings emphasize that promoting social participation activities can serve as practical intervention tools to prevent depression, providing a foundation for strengthening public health policies aimed at fostering social connectivity and reducing the burden of depressive disorders.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"335"},"PeriodicalIF":3.4,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971768/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787762","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}