BMC Psychiatry最新文献

{"title":"Successful aging was negatively associated with depression and anxiety symptoms among adults aged 65 years and older in Ningbo, China.","authors":"Lian Li, Hongying Yang, Yan Gao, Wei Yan, Yuerong Yuan, Guomin Lian","doi":"10.1186/s12888-025-06566-0","DOIUrl":"10.1186/s12888-025-06566-0","url":null,"abstract":"<p><strong>Background: </strong>Depression and anxiety are the emotional problems most frequently experienced by older adults. We aimed to investigate the associations between successful aging (SA) and depression and anxiety in older adults from Ningbo, China.</p><p><strong>Methods: </strong>A cross-sectional study of 6,672 community-dwelling adults aged 65 years or older was performed. SA, depression, and anxiety symptoms were self-reported and measured using the Successful Aging Inventory (SAI), Patient Health Questionnaire-9 item (PHQ-9), and the 7-item Generalized Anxiety Disorder scale (GAD-7), respectively. Linear and logistic regression analyses were used to estimate the associations of SA with depression and anxiety.</p><p><strong>Results: </strong>After multivariate adjustment, we found that the SAI score was independently associated with the PHQ-9 and GAD-7 scores (β = -0.069 and - 0.048, respectively). Multivariate-adjusted spline regression models showed negative, nonlinear dose-response associations between the SAI score and both depression and anxiety symptoms (P_{for nonlinearity} = 0.001 for both). With the highest quartile set as the reference, we determined that the lowest SAI score quartile was independently associated with both depression symptoms (OR = 16.131, 95% CI: 8.423, 30.892) and anxiety symptoms (odds ratio [OR] = 10.926, 95% confidence interval [CI]: 5.268, 22.664). In subgroup analyses, the association between the SAI score and depression symptoms was significantly higher in rural than in urban areas (P_{for interaction} = 0.024).</p><p><strong>Conclusion: </strong>Among older adults in Ningbo, China, SA was found to play an important role in depression and anxiety symptoms, suggesting the need for effective and feasible interventions to promote SA in Chinese older adults.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"115"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11817734/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143398010","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":"A randomized controlled trial of a therapist-guided online intervention for depressed adults and its utility as an adjunctive to antidepressants and psychotherapy.","authors":"Manuel Heinrich, Pavle Zagorscak, Christina Kampisiou, Johannes Bohn, Lars Schulze, Carmen Schaeuffele, Annette Brose, Christine Knaevelsrud","doi":"10.1186/s12888-025-06564-2","DOIUrl":"10.1186/s12888-025-06564-2","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Internet-based interventions (IBIs) are a low-threshold treatment for individuals with depression. However, comparisons of IBI against unstandardized care-as-usual (CAU) are scarce. Moreover, little evidence is available if IBI has an add-on effect for individuals already receiving an evidence-based treatment such as antidepressants and/or psychotherapy.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Method: &lt;/strong&gt;This parallel, two-arm RCT (1:1 allocation ratio, simple randomization) examines the effectiveness of a therapist-guided cognitive-behavioral IBI compared to unstandardized CAU in a self-selected sample of adults (≥ 18 years). Eligible individuals reported (a) mild (BDI-II score ≥ 14) to moderately severe (PHQ-9 ≤ 19) symptoms of depression, (b) no acute suicidal ideations, (c) no acute or lifetime (hypo-)mania and/or symptoms of psychosis. We assigned eligible individuals to an intervention (INT) arm or an unstandardized CAU-arm (i.e., we imposed no restrictions on what individuals were allowed to do in the 8-week waiting period). Individuals in the INT-arm got access to a 7-module CBT-based IBI. The primary endpoint is depressive symptom load 9 to 11 weeks after randomization. Secondary endpoints included anxiety, self-efficacy, and perceived social support. We report effects for the entire sample (N = 1899), as well as for individuals using the IBI as a stand-alone intervention (n = 1408) or as an add-on to antidepressants (n = 367), psychotherapy (n = 73), or antidepressants and psychotherapy (n = 51). Patients entered the trial with these concurrent treatments (i.e., they were not randomly assigned).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Concerning all randomized individuals, 62.5% of individuals in the INT-arm accessed all treatment modules within 11 weeks. Individuals assigned to the INT-arm reported significantly lower depressive symptoms (PHQ-9: - 2.5, 95% CI [- 2.9, - 2.0], d =  - 0.7; BDI-II: - 5.3, 95% CI [- 6.5, - 4.1], d =  - 0.8) and higher rates of  ≥ 50% symptom improvements (PHQ-9: 38.5% vs. 14.3%; BDI-II: 44.6% vs. 14.8%) compared to individuals assigned to the CAU-arm. Secondary outcomes also favored INT over CAU, with effect sizes ranging from |d|= 0.18 (social support) to 0.62 (anxiety). Rates of deterioration (PHQ-9: 4.1%; BDI-II: 3.4%) and self-reported side effects (10.5%) were low in the INT-arm. Similar patterns emerged for all strata. However, the between-arm differences failed to reach significance within the strata of individuals using the IBI as an add-on to psychotherapy.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Our results show that providing interested adults access to the therapist-guided, cognitive-behavioral IBI under investigation is associated with improved mental health outcomes, whether individuals use the IBI as a stand-alone or add-on intervention to another evidence-based treatment. This finding aligns with available studies indicating that IBIs should be considered a low-threshold treatment option for ","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"116"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11817706/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397940","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":"Psychiatric disorders and following risk of chronic kidney disease: a prospective cohort study from UK Biobank.","authors":"Hanfei Li, Chunyang Li, Chao Zhang, Zhiye Ying, Chuanfang Wu, Xiaoxi Zeng, Jinku Bao","doi":"10.1186/s12888-024-06461-0","DOIUrl":"10.1186/s12888-024-06461-0","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Psychiatric disorders have been reported to influence many health outcomes, but evidence about their impact on chronic kidney disease (CKD) has not been fully explored, as well as possible mechanisms implicated are still unclear.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Four hundred forty-one thousand eight hundred ninety-three participants from UK Biobank were included in this study. To assess the association between psychiatric disorders mainly including depression, anxiety, stress-related disorders, substance misuse as well as psychotic disorder, and CKD, a Cox regression model using age as the underlying time scale was employed. This approach considers the age progression of participants from the beginning to the end of the study as the elapsed time. Flexible nonparametric smoothing model was conducted to illustrate the temporal patterns. Subgroup analyses were performed by stratification of gender, genetic susceptibility to CKD, age at entry or exit the cohort, follow-up duration, and the number of psychiatric disorders at baseline. Mediation analysis was implemented to evaluate the roles of body mass index (BMI), hypertension, and diabetes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Compared with individuals without psychiatric disorders, an increased risk of CKD was observed in patients with psychiatric disorders (hazard ratios (HR) = 1.52, 95% confidence intervals (CI): 1.40-1.65, p-value &lt; 0.001). The hazard ratio among psychiatric patients gradually increased, and became significant after about 10 years follow-ups. The HR for patients followed up for 10-12 years was 1.60 (95% CI: 1.34-1.91, p-value &lt; 0.001), and the HR was 1.66 (95% CI: 1.29-2.13, p-value &lt; 0.001) for patients followed up for 12-13 years. Five distinct psychiatric disorders were found to be significantly associated with an increased risk of developing CKD. The highest HR was observed between stress-related disorder and CKD (HR = 1.95, 95%CI: 1.28-2.97, p-value = 0.002). When adjusting genetic susceptibility to CKD, the HR for the association between stress-related disorders and CKD became 1.86 (95%CI: 1.14-3.04, p-value = 0.013). Although these associations were nominally significant, they did not reach statistical significance after applying the Bonferroni multiple corrections, potentially due to the limited sample size. Subgroup analysis revealed that psychiatric patients who are under age 60, with multiple psychiatric morbidities or having been diagnosed with psychiatric disorders for over 10 years may be high-risk populations. Hypertension, BMI and diabetes mediated 49.13% (95% CI: 37.60%-67.08%), 12.11% (95% CI: 8.49%-17.24%) and 3.78% (95% CI: 1.58%-6.52%) of the total effect, respectively.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Psychiatric disorders were associated with a delayed onset of an elevated risk for CKD, this association was only observed in patients with psychiatric disorders for more than 10 years. Our study highlights the significance of lif","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"109"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11816523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397994","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":"Social capital and major depressive disorder among youth in Iran.","authors":"Ebtesam Savari, Nastaran Nasirpour, Afarin Rahimi-Movaghar, Ahmad Hajebi, Vandad Sharifi, Masoumeh Amin-Esmaeili, Farid Najafi, Bahareh Fakhraei, Hamid Hakimi, Mehran Zarghami, Abbas Motevalian","doi":"10.1186/s12888-025-06545-5","DOIUrl":"10.1186/s12888-025-06545-5","url":null,"abstract":"<p><strong>Background: </strong>Social capital has long been recognized as a determinant of various health outcomes. However, the existence and magnitude of these associations may vary across different health conditions, different communities, and periods. This study aimed to investigate the association between social capital and major depressive disorder (MDD) among participants of the Persian Youth Cohort (PYC) study.</p><p><strong>Methods: </strong>The PYC study enrolled 11,592 participants aged 15-34 years, from four cities in Iran representing a range of geographic areas. Baseline assessments included measuring lifetime MDD using the Persian version of the Composite International Diagnostic Interview (CIDI-2.1) and a 27-item social capital questionnaire to evaluate voluntary participation, trust, and sense of cohesion. We analyzed the baseline data using logistic regression to identify potential associations.</p><p><strong>Results: </strong>The prevalence of lifetime MDD was 18.3%. The mean social capital-total score was 73.93 (SD = 13.93). A higher social capital-total score was inversely associated with the likelihood of MDD (AOR: 0.70, 95% CI: 0.66-0.74). Moreover, participants with higher scores in voluntary participation (AOR: 0.88, 95% CI: 0.83-0.92), trust (AOR: 0.65, 95% CI: 0.62-0.68), and sense of cohesion (AOR: 0.72, 95% CI: 0.68-0.75) were less probable to suffer from MDD.</p><p><strong>Conclusion: </strong>Our study corroborates the existing evidence of the association between MDD and the three dimensions of social capital- participation, trust, and sense of cohesion- highlighting the consistency of these findings across diverse settings including young adults in Iran. The use of a valid diagnostic tool for assessing MDD adds robustness to our results, offering valuable insights for regions with similar social and cultural contexts. These findings suggest that interventions fostering social capital, particularly trust and cohesion, may help reduce the burden of MDD in youth.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"111"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11818031/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397997","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":"Comparative effectiveness of short-term psychodynamic psychotherapy and cognitive behavioral therapy for major depression in psychiatric outpatient clinics: a randomized controlled trial.","authors":"Anders Malkomsen, Theresa Wilberg, Bente Bull-Hansen, Toril Dammen, Julie Horgen Evensen, Benjamin Hummelen, André Løvgren, Kåre Osnes, Randi Ulberg, Jan Ivar Røssberg","doi":"10.1186/s12888-025-06544-6","DOIUrl":"10.1186/s12888-025-06544-6","url":null,"abstract":"<p><strong>Background: </strong>More studies with low risk of bias on the effectiveness of cognitive behavioral therapy (CBT) and short-term psychodynamic psychotherapy (STPP) for major depressive disorder (MDD) are needed. This study compares the outcome of CBT and STPP and examines the improvements in each treatment, focusing on effect sizes, reliable change, dropout rates, and remission rates, using broad inclusion criteria (e.g. participants using antidepressants or with strong suicidal ideation).</p><p><strong>Methods: </strong>One hundred patients were randomly allocated to CBT or STPP. All patients were offered either 16 weekly sessions followed by 3 monthly booster sessions in CBT, or 28 weekly sessions in STPP. Primary outcome measures were Hamilton Depression Rating Scale (HDRS) and Beck's Depression Inventory-II (BDI-II). Secondary outcome measures were Work and Social Adjustment Scale (WSAS), Generalized Anxiety Disorder-7 (GAD-7), Global Assessment of Functioning (GAF) and Short Form Health Survey-12 (SF-12).</p><p><strong>Results: </strong>No significant differences in outcomes were found between the two treatment groups on any of the measures. The within-group effects were large (> 0.8) for the primary outcome measures and moderate to large for the secondary outcome measures. According to the reliable change index (RCI), 79% of patients reliably improved on HDRS and 76% improved on BDI-II, whereas respectively 6% and 10% reliably deteriorated.</p><p><strong>Conclusions: </strong>These findings support the assumption that CBT and STPP are equally effective treatments for patients with depressive disorders in psychiatric outpatient clinics. Additionally, they strengthen the evidence for the effectiveness of both CBT and STPP in these settings, while also highlighting that not all depressed patients respond to short-term treatment.</p><p><strong>Clinical trial registration: </strong>Clinical Trial gov. Identifier: NCT03022071. Date of registration: 2016-11-14.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"113"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11817821/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397948","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":"Translation and psychometric properties of the Persian version of the mental health quality of life (MHQoL) questionnaire.","authors":"Abbas Ebadi, Milad Rezaiye","doi":"10.1186/s12888-025-06522-y","DOIUrl":"10.1186/s12888-025-06522-y","url":null,"abstract":"<p><strong>Background: </strong>Patients with psychiatric disorders often experience a reduced quality of life. To accurately assess their well-being, reliable and culturally appropriate tools are essential. The Mental Health Quality of Life (MHQoL) questionnaire, which has seven questions, is designed for this purpose. This study aimed to translate and evaluate the psychometric properties of the MHQoL tool among patients with psychiatric disorders at the psychiatric department of Baqiyatallah Hospital.</p><p><strong>Methods: </strong>This study employed a methodological approach with a descriptive cross-sectional design. After obtaining written permission from the original developer and following the World Health Organization protocol, the Persian version of the questionnaire was administered to 300 psychiatric patients hospitalized in a psychiatric ward in Tehran from October 2022 to March 2023. Of the participants, 39% were female and 61% were male. The questionnaire's face validity, content validity, and construct validity were subsequently evaluated. To determine reliability, Cronbach's alpha coefficient and test-retest methods were used.</p><p><strong>Results: </strong>Through exploratory factor analysis (N = 150) and confirmatory factor analysis (N = 150), one factor was extracted that explained 59.45% of the total observed variance. The model exhibited a good fit, with a GFI of 0.90, CFI of 0.97, IFI of 0.97, NFI of 0.95, PNFI of 0.64, RMSEA of 0.14, CMIN/DF of 3.5, and RMR of 0.049. The Persian version of the MHQoL tool demonstrated high reliability, with a Cronbach's alpha of 0.876 and an intraclass correlation coefficient of 0.979.</p><p><strong>Conclusions: </strong>The current study's findings suggest that the Persian version of the MHQoL is valid and reliable for assessing the quality of life in Persian patients with psychiatric disorders.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"110"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11817383/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143398021","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":"Suicidal ideation among mental health patients at hospital discharge: prevalence and risk factors.","authors":"Wanying Mao, Reham Shalaby, Ernest Owusu, Hossam Eldin Elgendy, Belinda Agyapong, Ejemai Eboreime, Peter H Silverstone, Pierre Chue, Xin-Min Li, Wesley Vuong, Arto Ohinmaa, Valerie Taylor, Andrew J Greenshaw, Vincent Israel Opoku Agyapong","doi":"10.1186/s12888-025-06547-3","DOIUrl":"10.1186/s12888-025-06547-3","url":null,"abstract":"<p><strong>Background: </strong>Evidence indicates that suicide risk is much higher for psychiatric patients in the weeks immediately following discharge from the hospital. It is, therefore, crucial to evaluate suicide risk accurately at discharge to provide supportive and lifesaving interventions as appropriate.</p><p><strong>Aim: </strong>In this study, the prevalence and risk factors for suicide ideations were examined among patients ready to be discharged from psychiatric units in Alberta province, Canada.</p><p><strong>Methods: </strong>Researchers conducted face-to-face meetings with potential participants to determine if they were interested in participating. Eligible individuals in this epidemiological cross-sectional study used an online quantitative survey to assess suicide ideations using the appropriate question contained in the Patient Health Questionnaire (PHQ-9) scale. Information was also gathered regarding patient demographics, clinical information, and responses to the Generalized Anxiety Disorder (GAD-7), and World Health Organization Well-Being Index (WHO-5) questionnaires.</p><p><strong>Results: </strong>We recruited 1,004 patients from an initial pool of 1,437 patients. We found that the prevalence of suicidal ideation among patients about to be discharged was 48.9%, i.e., nearly half of all patients had active suicidal thinking prior to discharge. We found that factors that were most significantly associated with this were age, ethnicity, employment status, primary mental health diagnoses, anxiety, and poor well-being at baseline.</p><p><strong>Conclusion: </strong>Here, in a large cohort of psychiatric patients in Alberta, Canada, we found that nearly half of patients being discharged from an acute psychiatric unit reported suicidal ideation. Given the increased short-term risk to this group, there is an urgent need for additional research on the underlying reasons and reliable predictors of suicidal ideation in these patients. Additionally, appropriate interventions and supportive services must be provided both prior and after discharge to mitigate this substantial risk.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"112"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11817020/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143398012","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":"Mental health of LGBTQ+ workers: a systematic review.","authors":"Dunya Tomic, Monica O'Dwyer, Tessa Keegel, Karen Walker-Bone","doi":"10.1186/s12888-025-06556-2","DOIUrl":"10.1186/s12888-025-06556-2","url":null,"abstract":"<p><strong>Background: </strong>Members of the lesbian, gay, bisexual, transgender, queer, and other sexual and gender minorities (LGBTQ+) community have greater risk of mental health disorders compared to the general population, however most evidence is from young people. We sought to systematically review and summarise the evidence for the burden and risk of mental health disorders.</p><p><strong>Methods: </strong>A PRISMA-compliant literature search was conducted in MEDLINE, Embase, PsycInfo, Scopus, and CINAHL for articles published from 2000 to 2024. Quantitative or mixed-methods studies that reported mental health outcomes among LGBTQ+ workers were included. Effect measures included prevalence and odds ratios, with variations in mental health across occupations and specific sexual or gender minorities reported where possible. This systematic review was prospectively registered through PROSPERO (CRD42024587605).</p><p><strong>Results: </strong>Out of 5736 unique articles screened, 33 articles (32 individual studies) fulfilled eligibility criteria, including 8369 LGBTQ+ workers. Other than studies of sex workers, only 12 studies had research questions specific to LGBTQ+ workers' mental health. Most studies (30/32) were cross-sectional and reported increased odds of depression, anxiety, or suicidality among LGBTQ+ compared to non-LGBTQ+ workers. Prevalence estimates and methodology varied widely. Factors associated with adverse mental health outcomes among select groups of LGBTQ+ workers included internalised stigma, heterosexism, job stress and low income. We found no studies comparing workers across industries and no studies involving workplace interventions.</p><p><strong>Conclusions: </strong>There are limited objective data regarding LGBTQ+ workers' mental health. Given the heterogeneity of the LGBTQ+ population, dedicated longitudinal research into the mental health of specific sexual and gender minorities across all industries and occupations is needed to determine causal factors, the impact of intersectionality, and the effectiveness of workplace interventions.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"114"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11817621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397965","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":"Comparison of clinical features and inflammatory factors between patients with bipolar depression and unipolar depression.","authors":"Tianwei Zhang, Changjun Ji, Jiayu Zhu, Xiaoxiao Wang, Chengjia Shen, Fei Liang, Yajun Hou, Yan Sun, Chongze Wang, Peijuan Wang, Guoqiang Lu, Xiaohui Wang, Qinyu Lv, Zhenghui Yi","doi":"10.1186/s12888-025-06516-w","DOIUrl":"10.1186/s12888-025-06516-w","url":null,"abstract":"<p><strong>Background: </strong>This study aims to compare the differences in clinical features and inflammatory factors between unipolar depression and bipolar depression, and to investigate potential clinical characteristics and peripheral blood biomarkers that could be used to differentiate between these two conditions. Furthermore, the study seeks to establish a predictive model.</p><p><strong>Methods: </strong>Inpatients from the Shanghai Mental Health Center, admitted between June 2022 and June 2024, were selected as study participants. Based on diagnosis records, 274 patients were assigned to the unipolar depression group, and 128 patients to the bipolar depression group. A total of 128 patients were matched between the two groups using the propensity score matching method. Demographic data, clinical characteristics, and biological indicators were compared between the two groups. The biological markers assessed included neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), C-reactive protein (CRP), serum triiodothyronine (T3), thyroxine (T4), free thyroid hormones (fT3, fT4), thyroid-stimulating hormone (TSH), complement 3 (C3), complement 4 (C4), immunoglobulin A (IgA), immunoglobulin G (IgG), and immunoglobulin M (IgM). Binomial logistic regression analysis was employed to control for confounding factors and to explore the predictors of bipolar depression. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of clinical features and biological markers for bipolar depression.</p><p><strong>Results: </strong>Statistically significant differences were observed between the unipolar depression and bipolar depression groups with respect to life events (χ² = 15.397, P = 0.000), CRP (Z = 6.717, P = 0.000), TSH (Z = 1.988, P = 0.047), C3 (Z = 5.682, P = 0.000), C4 (Z = 4.216, P = 0.000), and IgM (Z = 2.304, P = 0.021). Logistic regression analysis indicated that life events (OR = 4.552, 95% CI = 2.238-9.257), CRP (OR = 13.886, 95% CI = 5.290-36.452), and IgM (OR = 0.561, 95% CI = 0.325-0.970) were associated with bipolar depression. ROC curve analysis revealed that the area under the curve (AUC) for the logistic regression model predicting bipolar depression was 0.806, with a sensitivity of 61.7% and a specificity of 85.9%.</p><p><strong>Conclusions: </strong>Compared to unipolar depression, bipolar depression was associated with the absence of life events, elevated CRP levels, and reduced IgM levels. The combined diagnostic model proved more effective in distinguishing bipolar depression from unipolar depression.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"108"},"PeriodicalIF":3.4,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11812187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143389908","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 bergen 4-day treatment for panic disorder: a longer-term follow-up.","authors":"Thorstein Olsen Eide, Bjarne Hansen, Kay Morten Hjelle, Stian Solem, Michael G Wheaton, Thröstur Björgvinsson, Gerd Kvale, Kristen Hagen","doi":"10.1186/s12888-025-06527-7","DOIUrl":"10.1186/s12888-025-06527-7","url":null,"abstract":"<p><strong>Introduction: </strong>Bergen 4-Day treatment (B4DT) is a form of concentrated exposure-based cognitive behavioral therapy (CBT) in which patients receive treatment over four consecutive days. Previous studies have shown B4DT to be a promising treatment format for panic disorder (PD), although the long-term stability of treatment gains requires additional study.</p><p><strong>Aim: </strong>The aim of the current study was to evaluate the longer-term effectiveness of B4DT for patients with panic disorder with or without agoraphobia. This study extends a previously published study by providing a long-term follow-up of the same cohort (n = 30), initially assessed at three months post-treatment.</p><p><strong>Method: </strong>Thirty patients with panic disorder were consecutively included in a retrospect open trial. The primary outcome measure was the Panic Disorder Severity Scale. The secondary outcome measures were the Generalized Anxiety Disorder-7 and the Patient Health Questionnaire-9. Outcomes were assessed at pretreatment, posttreatment, 3-month follow-up, and longer-term follow-up (with a mean time of 18 months).</p><p><strong>Results: </strong>There was a significant reduction in panic disorder symptoms from pretreatment to longer-term follow-up (d = 5.03, 95% CI [18.55, 21.12] to [1.33, 3.87]). The Panic Disorder Severity Scale (PDSS) mean decreased from 19.83 (SD = 0.64, 95% CI [18.55, 21.12]) before treatment, to 4.37 (SD = 0.64, 95% CI [2.98, 5.76]) post-treatment, followed by further decreases at the 3-month follow-up to a mean of 2.84 (SD = 0.64, 95% CI [1.45, 4.22]), and at the longer-term follow-up to 2.60 (SD = 0.64, 95% CI [1.33, 3.87]). There was no significant difference in symptom severity between the 3-month and 18-month assessments, indicating a sustained improvement (p <.001). At the 18-month follow-up, 90% of the patients were classified as being in remission. There were also significant reductions in symptoms of depression (d = 1.44) and generalized anxiety (d = 1.62) that were maintained at the longer-term follow-up assessment.</p><p><strong>Conclusion: </strong>The results from the current study indicated that the treatment effects of B4DT are stable over time and that the treatment format appears to be promising for PD. Confirming these preliminary results in rigorous study designs is needed.</p><p><strong>Trial registration: </strong>The study was approved by the Regional Committee for Medical and Health Research Ethics of Northern Norway (REK Nord-2021/209619).</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"107"},"PeriodicalIF":3.4,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806683/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370204","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}