Journal of affective disorders最新文献

{"title":"Health risk behaviors, depressive symptoms and suicidal ideation among college students: A latent class analysis in middle China","authors":"Jingjing Xiang ,&nbsp;Fei Peng ,&nbsp;Jiayi Jiao ,&nbsp;Ting Tan ,&nbsp;Ling Liu ,&nbsp;Maowei Chen ,&nbsp;Jingtao Wang ,&nbsp;Dan Luo ,&nbsp;Shuang Liu","doi":"10.1016/j.jad.2025.01.107","DOIUrl":"10.1016/j.jad.2025.01.107","url":null,"abstract":"<div><h3>Purpose</h3><div>Previous studies have demonstrated the relationship between health risk behaviors and mental health, but little is discussed among college students. The current study aims to examine clusters of health risk behaviors and their correlation with depressive symptoms and suicidal ideation among Chinese college students.</div></div><div><h3>Methods</h3><div>Data was obtained from the 2022 Surveillance for Common Diseases and Health Risk Factors among Students project conducted by the Hubei Province of the Centers for Disease Control and Prevention. Latent class analysis (LCA) was conducted based on health risk behaviors, including diet (breakfast skipping, consumption of sweetened beverages, fast food, milk, soymilk and yogurt), physical activities (physical exercise and sedentary), adverse experiences (verbal violence and emotional neglect), substance use (smoking and drinking), sleep, and unprotected sex behaviors. Mental health was assessed by the depressive symptoms and suicidal ideation. Multivariate logistic regression evaluated the correlation between mental health and health risk behaviors.</div></div><div><h3>Results</h3><div>Among the 6372 Chinese college students, most had sedentary behavior, physical inactivity and unhealthy diet, and &gt; 60 % had more than two health risk behaviors. We further identified four classes of health risk behaviors using LCA. Class 1 (low-risk group, 25.1 %) was unlikely to engage in health-risk behaviors. Class 2 (moderate-risk group, 66.9 %) showed the lowest or second lowest probabilities of most health risk behaviors. Class 3 (High-risk-substance abuse/unprotected sex, 5.2 %) presented the highest probabilities of smoking, drinking, irregular breakfast, unhealthy diet and unprotected sex. Class 4 (High-risk-adverse experiences, 2.8 %) showed the highest probabilities of verbal violence, emotional neglect and insufficient sleep. The high-risk (adverse experiences) class had the highest odds of both depressive symptoms and suicidal ideation, followed by Class 3 and Class 2. Moreover, single-parent and intergenerational families were positively associated with mental health problems in female college students.</div></div><div><h3>Limitations</h3><div>Due to the cross-sectional study, we cannot identify the changes in different developmental stages.</div></div><div><h3>Conclusion</h3><div>Different intervention strategies should be customized based on clustering patterns of health risk behaviors in the prevention of depression and suicide among college students.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 205-213"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038613","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":"Specific symptomatology profile associated with treatment resistant depression: A multicentric study from the Group for the Study of Resistant Depression with a focus on sex","authors":"Maria Luca ,&nbsp;Antonina Luca ,&nbsp;Antonino Messina ,&nbsp;Lucie Bartova ,&nbsp;Siegfried Kasper ,&nbsp;Joseph Zohar ,&nbsp;Daniel Souery ,&nbsp;Stuart Montgomery ,&nbsp;Panagiotis Ferentinos ,&nbsp;Dan Rujescu ,&nbsp;Julien Mendlewicz ,&nbsp;Raffaella Zanardi ,&nbsp;Raffaele Ferri ,&nbsp;Bartolo Lanuzza ,&nbsp;Francesco Benedetti ,&nbsp;Basilio Pecorino ,&nbsp;Bernhard T. Baune ,&nbsp;Giuseppe Fanelli ,&nbsp;Chiara Fabbri ,&nbsp;Alessandro Serretti","doi":"10.1016/j.jad.2025.01.120","DOIUrl":"10.1016/j.jad.2025.01.120","url":null,"abstract":"<div><h3>Background</h3><div>Clinical predictors of treatment-resistant depression could improve treatment strategies. Depressive symptom profiles at baseline are potential outcome predictors, but little evidence is available, and sex-specific profiles have been scarcely investigated.</div></div><div><h3>Methods</h3><div>Baseline symptom scores of 1294 patients with major depressive disorder were assessed by the Montgomery-Åsberg depression rating scale (MADRS) as part of a multicenter study by the “Group for the Studies of Resistant Depression”. Treatment outcomes were assessed according to the MADRS after ≥4 weeks of naturalistic treatment. We tested if individual MADRS item scores at baseline were associated with treatment outcome in the whole sample and in sex-stratified subgroups.</div></div><div><h3>Results</h3><div>A specific baseline symptom profile was associated with non-response in the whole sample. In particular, apparent and reported sadness, reduced sleep, lassitude, inability to feel, and pessimistic thoughts were the only MADRS items that scored higher at baseline in patients with subsequent lack of response. In the sex-stratified analysis, females showed a similar profile overall, however they showed higher baseline levels of inner tension, inability to feel, and pessimistic thoughts compared to males, and these symptoms were associated with lack of response in females but not in males. Neurovegetative symptoms were poorly predictive. Overall baseline severity related to poor response.</div></div><div><h3>Limitations</h3><div>This is a post-hoc analysis. The naturalistic design of the study with a retrospective assessment is potential limitations.</div></div><div><h3>Conclusion</h3><div>A specific baseline symptom profile characterized by higher sadness, reduced sleep and anhedonic features may be indicative of poor treatment outcome. Females showed a distinctive baseline profile associated with poor response.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 249-255"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038792","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":"Psychophysiological stress response, emotion dysregulation and sleep parameters as predictors of psychopathology in adolescents and young adults","authors":"Caroline L.M. Herber ,&nbsp;Christoph Breuninger ,&nbsp;Brunna Tuschen-Caffier","doi":"10.1016/j.jad.2025.01.110","DOIUrl":"10.1016/j.jad.2025.01.110","url":null,"abstract":"<div><h3>Background</h3><div>Increased emotional reactivity to stress, emotional dysregulation and sleep disturbances are interdependent trans-diagnostic processes that are present in internalising disorders such as depression and anxiety disorders. This study investigated which objective and subjective parameters of stress reactivity, sleep and emotional processing would predict symptoms of anxiety and depression in adolescents and young adults.</div></div><div><h3>Methods</h3><div>Participants were adolescents and young adults between the ages of 14 to 21 (<em>N</em> = 106, 25[24 %] male, <em>M</em> age = 17.93). Heart rate, heart rate variability, and subjective stress levels were measured before, during and after a stress induction using the Trier Social Stress Test (TSST). Questionnaires on internalising symptoms, emotion dysregulation, and sleep quality were used. For seven consecutive nights, objective sleep parameters were measured with a wearable device.</div></div><div><h3>Results</h3><div>Heart rate and heart rate variability after (but not during) the stress induction and emotion dysregulation predicted depressive and anxiety symptoms. Lower subjective sleep quality (but not the objective sleep parameters) was associated with depressive and anxiety symptoms. Emotion dysregulation mediated the relationship between sleep quality and depressive symptoms.</div></div><div><h3>Limitations</h3><div>A cross-sectional design, no measurement of daily activity or naps, and only self-report measures of depressive and anxiety symptoms as well as emotion dysregulation.</div></div><div><h3>Conclusion</h3><div>The findings of elevated cardiovascular activation after – but not during – the stress induction and emotion dysregulation underlines problems in regulating and recovering from stress as predictors of youth internalising psychopathology. Differences between subjective and objective measures of sleep and stress reactivity suggests a role of cognitive biases in these domains.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 331-341"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038787","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":"Oral microbiota among treatment-naïve adolescents with depression: A case-control study","authors":"Yingying Zeng ,&nbsp;Xiaonan Jia ,&nbsp;Houyi Li ,&nbsp;Ni Zhou ,&nbsp;Xuemei Liang ,&nbsp;Kezhi Liu ,&nbsp;Bao-Zhu Yang ,&nbsp;Bo Xiang","doi":"10.1016/j.jad.2025.01.089","DOIUrl":"10.1016/j.jad.2025.01.089","url":null,"abstract":"<div><h3>Background</h3><div>Adolescent depression has profound impacts on physical, cognitive, and emotional development. While gut microbiota changes have been linked to depression, the relationship between oral microbiota and depression remains elusive. Our study aims to investigate the oral microbiota in treatment-naïve adolescents experiencing depression and examine their potential associations with cognitive function.</div></div><div><h3>Methods</h3><div>Our case-control study comprised two groups of adolescents aged 12–17: the depression group, including treatment-naïve individuals diagnosed with DSM-5 major depressive disorder (MDD), and a healthy control group of non-depressed individuals (HC). Participants underwent structured neuropsychiatric assessments, and fasting morning saliva samples were collected for the 16S rRNA sequencing to investigate the oral microbiota.</div></div><div><h3>Results</h3><div>Significant differences were identified in the α- and β<em>-</em>diversities of the oral microbiota between MDD and HC groups. Specific bacterial taxa, including genera <em>Streptococcus</em>, <em>Neisseria</em>, <em>Hemophilus</em>, <em>Fusobacterium</em>, and <em>g_norank_f_norank_o_Absconditabacteriales_SR1</em>, were significantly associated with MDD. The association extends to cognitive functions, where correlations were observed between certain oral bacteria and cognitive scores, including instant and delayed memory, visual breadth, and speech features for the combined MDD and HC individuals (<em>p</em> &lt; 0.05). Random forest analysis identified ten genera of oral microbes with the highest predictive values for MDD. The area under the curve (AUC) is 0.78 in the receiver operating characteristic (ROC) curve analysis.</div></div><div><h3>Conclusion</h3><div>Our results highlight the oral microbiota's role as a biomarker for adolescent depression and its impact on cognitive functions. These insights underscore the need for further research into the links between oral health, mental health, and cognitive functions.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 93-102"},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038837","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":"Individual patterns of activity predict the response to physical exercise as an intervention in mild to moderate depression","authors":"Stefan Spulber ,&nbsp;Sandra Ceccatelli ,&nbsp;Yvonne Forsell","doi":"10.1016/j.jad.2025.01.097","DOIUrl":"10.1016/j.jad.2025.01.097","url":null,"abstract":"<div><div>Physical exercise (PE) as antidepressive intervention is a promising alternative, as shown by multiple meta-analyses. However, there is no consensus regarding optimal intensity and duration of exercise, and there are no objective criteria available for personalized indication of treatment. The aims of this study were (1) to evaluate whether individual activity patterns before intervention can predict the response to treatment; and (2) to evaluate whether the patient outcome can be improved by using prior information on treatment efficacy at individual level. The study included subjects with mild to moderate depression randomized to three PE regimens as antidepressive intervention. Features extracted from actigraphy recordings were used for training linear regression ensembles to predict the response to treatment. The Bayesian analysis of coefficients yielded distinct signatures in enriched feature subsets for each PE regimen. Next, we used a counterfactual approach by virtually assigning each patient to the PE regimen predicted to yield best outcome. This procedure significantly increased the remission rates as compared to random assignment to treatment. Our data suggest that the analysis of individual patterns of activity can identify a PE regimen to yield the best results, and that assignment to PE regimen using this information would significantly increase remission rate.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 118-128"},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038707","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":"Hippocampal transcriptome analysis in ClockΔ19 mice identifies pathways associated with glial cell differentiation and myelination","authors":"Yingying Wei ,&nbsp;Liansheng Zhao ,&nbsp;Jinxue Wei ,&nbsp;Xueli Yu ,&nbsp;Long Wei ,&nbsp;Rongjun Ni ,&nbsp;Tao Li","doi":"10.1016/j.jad.2025.01.039","DOIUrl":"10.1016/j.jad.2025.01.039","url":null,"abstract":"<div><h3>Background</h3><div>ClockΔ19 mice demonstrate behavioral characteristics and neurobiological changes that closely resemble those observed in bipolar disorder (BD). Notably, abnormalities in the hippocampus have been observed in patients with BD, yet direct molecular investigation of human hippocampal tissue remains challenging due to its limited accessibility.</div></div><div><h3>Methods</h3><div>To model BD, ClockΔ19 mice were employed. Weighted gene co-expression network analysis (WGCNA) was utilized to identify mutation-related modules, and changes in cell populations were determined using the computational deconvolution CIBERSORTx. Furthermore, GeneMANIA and protein-protein interactions (PPIs) were leveraged to construct a comprehensive interaction network.</div></div><div><h3>Results</h3><div>174 differentially expressed genes (DEGs) were identified, revealing abnormalities in rhythmic processes, mitochondrial metabolism, and various cell functions including morphology, differentiation, and receptor activity. Analysis identified 5 modules correlated with the mutation, with functional enrichment highlighting disturbances in rhythmic processes and neural cell differentiation due to the mutation. Furthermore, a decrease in neural stem cells (NSC), and an increase in astrocyte-restricted precursors (ARP), ependymocytes (EPC), and hemoglobin-expressing vascular cells (Hb-VC) in the mutant mice were observed. A network comprising 12 genes that link rhythmic processes to neural cell differentiation in the hippocampus was also identified.</div></div><div><h3>Limitations</h3><div>This study focused on the hippocampus of mice, hence the applicability of these findings to human patients warrants further exploration.</div></div><div><h3>Conclusion</h3><div>The ClockΔ19 mutation may disrupt circadian rhythm, myelination, and the differentiation of neural stem cells (NSCs) into glial cells. These abnormalities are linked to altered expression of key genes, including DPB, CIART, NR1D1, GFAP, SLC20A2, and KL. Furthermore, interactions between SLC20A2 and KL might provide a connection between circadian rhythm regulation and cell type transitions.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"376 ","pages":"Pages 280-293"},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038644","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":"Anxiolytic effects of accelerated continuous theta burst stimulation on mice exposed to chronic restraint stress and the underlying mechanism involving gut microbiota","authors":"Yihan Wang ,&nbsp;Cong Guo ,&nbsp;Bowen Zang ,&nbsp;Peng Wang ,&nbsp;Chuyan Yang ,&nbsp;Ruifeng Shi ,&nbsp;Yue Kong ,&nbsp;Aoran Sui ,&nbsp;Shao Li ,&nbsp;Yongzhong Lin","doi":"10.1016/j.jad.2025.01.104","DOIUrl":"10.1016/j.jad.2025.01.104","url":null,"abstract":"<div><h3>Background</h3><div>Accelerated continuous theta burst stimulation (acTBS) is a more intensive and rapid protocol than continuous theta burst stimulation (cTBS). However, it remains uncertain whether acTBS exhibits anxiolytic effects. The aim of this study was to investigate the impact of acTBS on anxiety model mice and elucidate the underlying mechanisms involved, in order to provide a more comprehensive understanding of its effects.</div></div><div><h3>Methods</h3><div>Chronic restraint stress (CRS) model was employed to observe the anxiolytic effects of acTBS. The study focused on evaluating the impact of acTBS on behavior, neuroinflammation, gut and gut microbiota in mice with anxiety induced by CRS.</div></div><div><h3>Results</h3><div>The application of acTBS ameliorated anxiety-like behaviors in CRS-induced mice. Notably, it effectively suppressed the activation of microglia and reduced the level pro-inflammatory cytokines in PFC, hippocampus, and amygdala of anxiety mice. Additionally, acTBS alleviated astrocyte activation specifically in hippocampus. The NF-κB signaling pathway involved in the anti-inflammatory effects of acTBS. Furthermore, acTBS ameliorated inflammation and histological damage in colon. 16S rRNA analysis revealed that acTBS significantly enhanced the relative abundance of <em>Lactobacillus</em>, while normalized the dysregulated levels of Coriobacterales, <em>Bacteroides</em>, and <em>Parabacteroides</em> caused by CRS. These changes facilitated chemoheterotrophic and fermentation functions within the microbiota. Importantly, changes in microbiota composition influenced by acTBS was found to be correlated with anxiety-like behaviors and neuroinflammation.</div></div><div><h3>Conclusions</h3><div>acTBS exerted anxiolytic effects on mice exposed to CRS, which was associated with the modulation of gut microbiota.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 49-63"},"PeriodicalIF":4.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028789","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":"Simple dysmood disorder, a mild subtype of major depression, is not an inflammatory condition: Depletion of the compensatory immunoregulatory system","authors":"Michael Maes ,&nbsp;Asara Vasupanrajit ,&nbsp;Ketsupar Jirakran ,&nbsp;Bo Zhou ,&nbsp;Chavit Tunvirachaisakul ,&nbsp;Abbas F. Almulla","doi":"10.1016/j.jad.2025.01.101","DOIUrl":"10.1016/j.jad.2025.01.101","url":null,"abstract":"<div><h3>Background</h3><div>A recent study conducted by the laboratory of the first author revealed that major depression is composed of two distinct subtypes: major dysmood disorder (MDMD) and simple dysmood disorder (SDMD). The latter is a less severe phenotype with fewer aberrant biological pathways. MDMD, but not SDMD, patients were identified to have highly sensitized cytokine/growth factor networks using stimulated whole blood cultures. However, no information regarding serum cytokines/chemokines/growth factors in SDMD is available.</div></div><div><h3>Objectives</h3><div>This case-control study compares 48 serum cytokines/chemokines/growth factors in academic students with SDMD (<em>n</em> = 64) and first episode (FE)-SDMD (<em>n</em> = 47) to those of control students (<em>n</em> = 44) using a multiplex assay.</div></div><div><h3>Findings</h3><div>Both FE-SDMD and SDMD exhibited a notable inhibition of immune profiles, such as the compensatory immunoregulatory response system (CIRS) and alternative M2 macrophage and T helper-2 (Th-2) profiles. We observed a substantial reduction in the serum concentrations of five proteins: interleukin (IL)-4, IL-10, soluble IL-2 receptor (sIL-2R), IL-12p40, and macrophage colony-stimulating factor. A considerable proportion of the variability observed in suicidal behaviors (26.7 %) can be accounted for by serum IL-4, IL-10, and sIL-2R (all decreased), CCL11 (eotaxin) and granulocyte CSF (both increased). The same biomarkers (except for IL-10), accounted for 25.5 % of the variance in SDMS severity. A significant correlation exists between decreased levels of IL-4 and elevated ratings of the brooding type of rumination.</div></div><div><h3>Conclusions</h3><div>SDMD is characterized by the suppression of the CIRS profile, which signifies a disruption of immune homeostasis and tolerance, rather than the presence of an inflammatory response.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 75-85"},"PeriodicalIF":4.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028831","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":"SSRI use is not associated with the intensity of romantic love, obsessive thinking about a loved one, commitment, or sexual frequency in a sample of young adults experiencing romantic love","authors":"Adam Bode ,&nbsp;Marta Kowal ,&nbsp;Fabio Cannas Aghedu ,&nbsp;Phillip S. Kavanagh","doi":"10.1016/j.jad.2025.01.103","DOIUrl":"10.1016/j.jad.2025.01.103","url":null,"abstract":"<div><div>For &gt;15 years, researchers have speculated that selective serotonin reuptake inhibitor (SSRI) use is associated with negative romantic love outcomes. No one has empirically investigated this, however. Drawing on 810 participants from the Romantic Love Survey 2022, we used binary logistic regression to identify differences between young adults experiencing romantic love who were and were not taking SSRIs. Predictor variables were biological sex, mental health problems, intensity of romantic love, obsessive thinking about a loved one, commitment, and frequency of sex. Only biological sex and mental health problems were associated with SSRI use. None of our romantic love variables were associated with SSRI use. This is the first evidence to demonstrate that SSRI use is not associated with some features of romantic love in a sample of young adults experiencing romantic love. The findings have implications for clinical practice and can be used to allay some concerns among individuals considering commencing SSRIs for common mental health problems.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 472-477"},"PeriodicalIF":4.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028832","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":"Development and application of a machine learning-based antenatal depression prediction model","authors":"Chunfei Hu ,&nbsp;Hongmei Lin ,&nbsp;Yupin Xu ,&nbsp;Xukun Fu ,&nbsp;Xiaojing Qiu ,&nbsp;Siqian Hu ,&nbsp;Tong Jin ,&nbsp;Hualin Xu ,&nbsp;Qiong Luo","doi":"10.1016/j.jad.2025.01.099","DOIUrl":"10.1016/j.jad.2025.01.099","url":null,"abstract":"<div><h3>Background</h3><div>Antenatal depression (AND), occurring during pregnancy, is associated with severe outcomes. However, there is a lack of objective and universally applicable prediction methods for AND in clinical practice. We leveraged sociodemographic and pregnancy-related data to develop and validate a machine learning-based AND prediction model.</div></div><div><h3>Methods</h3><div>Data from 20,950 pregnant women form 3 hospitals were used and divided into training and test sets. AND was defined as an EPDS score of 10 or above. Using machine learning, we selected 34 characteristic variables and divided them into three categories based on clinical practice: Base Variables, General Variables, and Obstetric Variables. Based on this classification, we constructed four different AND random forest prediction models: the Base Model, the Base+General Model, the Base+Obstetric Model, and the Full Model.</div></div><div><h3>Results</h3><div>The AUC range in the test set was 0.687–0.710. The Base+General Model achieved the best performance with an AUC of 0.710 (95 % CI: 0.693–0.710) in predicting AND risk during the late pregnancy period. The AUC of the Base Model was only 0.022 lower than that of the top-performing model, indicating its solid foundation for early AND screening.</div></div><div><h3>Limitations</h3><div>We have only analyzed the dataset from two eastern cities, and have not yet validated our models in an external dataset.</div></div><div><h3>Conclusions</h3><div>Machine learning-based prediction models offer the capability to anticipate the risk of AND across different pregnancy stages. This enables the earlier and more accurate identification of pregnant women who may be at risk, facilitating timely interventions for improving outcomes for both mothers and their offspring.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 137-147"},"PeriodicalIF":4.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028724","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}