JAMA Psychiatry最新文献

{"title":"Mental Health Diagnoses in People Experiencing Homelessness-Reply.","authors":"Rebecca Barry, Dallas Seitz","doi":"10.1001/jamapsychiatry.2024.2318","DOIUrl":"https://doi.org/10.1001/jamapsychiatry.2024.2318","url":null,"abstract":"","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141975681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mental Health Care Support in Rural India: A Cluster Randomized Clinical Trial.","authors":"Pallab K Maulik, Mercian Daniel, Siddhardha Devarapalli, Sudha Kallakuri, Amanpreet Kaur, Arpita Ghosh, Laurent Billot, Ankita Mukherjee, Rajesh Sagar, Sashi Kant, Susmita Chatterjee, Beverley M Essue, Usha Raman, Devarsetty Praveen, Graham Thornicroft, Shekhar Saxena, Anushka Patel, David Peiris","doi":"10.1001/jamapsychiatry.2024.2305","DOIUrl":"10.1001/jamapsychiatry.2024.2305","url":null,"abstract":"<p><strong>Importance: </strong>More than 150 million people in India need mental health care but few have access to affordable care, especially in rural areas.</p><p><strong>Objective: </strong>To determine whether a multifaceted intervention involving a digital health care model along with a community-based antistigma campaign leads to reduced depression risk and lower mental health-related stigma among adults residing in rural India.</p><p><strong>Design, setting, and participants: </strong>This parallel, cluster randomized, usual care-controlled trial was conducted from September 2020 to December 2021 with blinded follow-up assessments at 3, 6, and 12 months at 44 rural primary health centers across 3 districts in Haryana and Andhra Pradesh states in India. Adults aged 18 years and older at high risk of depression or self-harm defined by either a Patient Health Questionnaire-9 item (PHQ-9) score of 10 or greater, a Generalized Anxiety Disorder-7 item (GAD-7) score of 10 or greater, or a score of 2 or greater on the self-harm/suicide risk question on the PHQ-9. A second cohort of adults not at high risk were selected randomly from the remaining screened population. Data were cleaned and analyzed from April 2022 to February 2023.</p><p><strong>Interventions: </strong>The 12-month intervention included a community-based antistigma campaign involving all participants and a digital mental health intervention involving only participants at high risk. Primary health care workers were trained to identify and manage participants at high risk using the Mental Health Gap Action Programme guidelines from the World Health Organization.</p><p><strong>Main outcomes and measures: </strong>The 2 coprimary outcomes assessed at 12 months were mean PHQ-9 scores in the high-risk cohort and mean behavior scores in the combined high-risk and non-high-risk cohorts using the Mental Health Knowledge, Attitude, and Behavior scale.</p><p><strong>Results: </strong>Altogether, 9928 participants were recruited (3365 at high risk and 6563 not at high risk; 5638 [57%] female and 4290 [43%] male; mean [SD] age, 43 [16] years) with 9057 (91.2%) followed up at 12 months. Mean PHQ-9 scores at 12 months for the high-risk cohort were lower in the intervention vs control groups (2.77 vs 4.48; mean difference, -1.71; 95% CI, -2.53 to -0.89; P < .001). The remission rate in the high-risk cohort (PHQ-9 and GAD-7 scores <5 and no risk of self-harm) was higher in the intervention vs control group (74.7% vs 50.6%; odds ratio [OR], 2.88; 95% CI, 1.53 to 5.42; P = .001). Across both cohorts, there was no difference in 12-month behavior scores in the intervention vs control group (17.39 vs 17.74; mean difference, -0.35; 95% CI, -1.11 to 0.41; P = .36).</p><p><strong>Conclusions and relevance: </strong>A multifaceted intervention was effective in reducing depression risk but did not improve intended help-seeking behaviors for mental illness.</p><p><strong>Trial registration: </strong>Clinica","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11325245/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141975679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hyperalgesia in Patients With a History of Opioid Use Disorder: A Systematic Review and Meta-Analysis.","authors":"Martin Trøstheim, Marie Eikemo","doi":"10.1001/jamapsychiatry.2024.2176","DOIUrl":"10.1001/jamapsychiatry.2024.2176","url":null,"abstract":"<p><strong>Importance: </strong>Short-term and long-term opioid treatment have been associated with increased pain sensitivity (ie, opioid-induced hyperalgesia). Treatment of opioid use disorder (OUD) mainly involves maintenance with methadone and buprenorphine, and observations of heightened cold pain sensitivity among patients are often considered evidence of opioid-induced hyperalgesia.</p><p><strong>Objective: </strong>To critically examine the evidence that hyperalgesia in patients with OUD is related to opioid use.</p><p><strong>Data sources: </strong>Web of Science, PubMed, and Embase between March 1, 2023, and April 12, 2024, were searched.</p><p><strong>Study selection: </strong>Studies assessing cold pressor test (CPT) pain responses during treatment seeking, pharmacological treatment, or abstinence in patients with OUD history were included.</p><p><strong>Data extraction and synthesis: </strong>Multilevel random-effects models with robust variance estimation were used for all analyses. Study quality was rated with the JBI checklist. Funnel plots and Egger regression tests were used to assess reporting bias.</p><p><strong>Main outcomes and measures: </strong>Main outcomes were pain threshold, tolerance, and intensity in patients and healthy controls, and unstandardized, standardized (Hedges g), and percentage differences (%Δ) in these measures between patients and controls. The association between pain sensitivity and opioid tolerance, withdrawal, and abstinence indices was tested with meta-regression.</p><p><strong>Results: </strong>Thirty-nine studies (1385 patients, 741 controls) met the inclusion criteria. Most studies reported CPT data on patients undergoing opioid agonist treatment. These patients had a mean 2- to 3-seconds lower pain threshold (95% CI, -4 to -1; t test P = .01; %Δ, -22%; g = -0.5) and 29-seconds lower pain tolerance (95% CI, -39 to -18; t test P < .001; %Δ, -52%; g = -0.9) than controls. Egger tests suggested that these differences may be overestimated. There were some concerns of bias due to inadequate sample matching and participant dropout. Meta-regressions yielded no clear support for hyperalgesia being opioid related.</p><p><strong>Conclusion and relevance: </strong>Patients receiving opioid agonist treatment for OUD are hypersensitive to cold pain. It remains unclear whether hyperalgesia develops prior to, independent of, or as a result of long-term opioid treatment. Regardless, future studies should investigate the impact of hyperalgesia on patients' well-being and treatment outcomes.</p>","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11325249/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141975678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Training Psychiatrist-Scientists-Excellence on Both Sides of the Hyphen.","authors":"Jacob L Taylor, James B Potash","doi":"10.1001/jamapsychiatry.2024.2255","DOIUrl":"https://doi.org/10.1001/jamapsychiatry.2024.2255","url":null,"abstract":"","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141897490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the Structure in Mental Disorder Presentations.","authors":"Tobias R Spiller, Or Duek, Markus Helmer, John D Murray, Elliot Fielstein, Robert H Pietrzak, Roland von Känel, Ilan Harpaz-Rotem","doi":"10.1001/jamapsychiatry.2024.2047","DOIUrl":"10.1001/jamapsychiatry.2024.2047","url":null,"abstract":"<p><strong>Importance: </strong>DSM criteria are polythetic, allowing for heterogeneity of symptoms among individuals with the same disorder. In empirical research, most combinations were not found or only rarely found, prompting criticism of this heterogeneity.</p><p><strong>Objective: </strong>To elaborate how symptom-based definitions and assessments contribute to a distinct probability pattern for the occurrence of symptom combinations.</p><p><strong>Design, setting, and participants: </strong>This cross-sectional study involved a theoretical argument, simulation, and secondary data analysis of 4 preexisting datasets, each consisting of symptoms from 1 of the following syndromes: posttraumatic stress disorder, depression, schizophrenia, and anxiety. Data were obtained from various sources, including the National Institute of Mental Health Data Archive and Department of Veteran Affairs. A total of 155 474 participants were included (individual studies were 3930 to 63 742 individuals in size). Data were analyzed between July 2021 and January 2024.</p><p><strong>Exposure: </strong>For each participant, the presence or absence of each assessed symptom and their combination was determined. The number of all combinations and their individual frequencies were assessed.</p><p><strong>Main outcome and measure: </strong>Probability or frequency of unique symptom combinations and their distribution.</p><p><strong>Results: </strong>Among the 155 474 participants, the mean (SD) age was 47.5 (14.8) years; 33 933 (21.8%) self-identified as female and 121 541 (78.2%) as male. Because of the interrelation between symptoms, some symptom combinations were significantly more likely than others. The distribution of the combinations' probability was heavily skewed with most combinations having a very low probability. Across all 4 empirical samples, the 1% most common combinations were prevalent in a total of 33.1% to 78.6% of the corresponding sample. At the same time, many combinations (ranging from 41.7% to 99.8%) were reported by less than 1% of the sample.</p><p><strong>Conclusions and relevance: </strong>This study found that within-disorder symptom heterogeneity followed a specific pattern consisting of few prevalent, prototypical combinations and numerous combinations with a very low probability of occurrence. Future discussions about the revision of diagnostic criteria should take this specific pattern into account by focusing not only on the absolute number of symptom combinations but also on their individual and cumulative probabilities. Findings from clinical populations using common diagnostic criteria may have limited generalizability to the large group of individuals with a low-probability symptom combination.</p>","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11307158/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141897491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consistency of Delusion Themes Across First and Subsequent Episodes of Psychosis.","authors":"Gil Grunfeld, Ann-Catherine Lemonde, Ian Gold, Vincent Paquin, Srividya N Iyer, Martin Lepage, Ridha Joober, Ashok Malla, Jai L Shah","doi":"10.1001/jamapsychiatry.2024.2040","DOIUrl":"10.1001/jamapsychiatry.2024.2040","url":null,"abstract":"<p><strong>Importance: </strong>Despite growing interest in the phenomenology of delusions in psychosis, at present little is known about their content and evolution over time, including whether delusion themes are consistent across episodes.</p><p><strong>Objective: </strong>To examine the course of delusions and thematic delusion content across relapse episodes in patients presenting to an early intervention service for psychosis.</p><p><strong>Design, setting, and participants: </strong>This longitudinal, observational study used clinical data systematically collected from January 2003 to March 2018 from a cohort of consenting patients with affective or nonaffective first-episode psychosis, followed up naturalistically for up to 2 years in an early intervention service for psychosis in Montréal, Quebec, Canada. Data included the thematic content and severity of delusions (scores ≥3 using the Scale for the Assessment of Positive Symptoms) and associated psychotic and nonpsychotic symptoms, both across an initial episode and, in the event of remission, a potential relapse. Data were analyzed from September 2021 to February 2023.</p><p><strong>Exposure: </strong>An early intervention service for psychosis, organized around intensive case management and a multidisciplinary team approach, which observed each patient for up to 2 years of care.</p><p><strong>Main outcomes and measures: </strong>The primary outcome was positive symptom relapse and remission, including the presence and content of delusions, which was coded per the Scale for the Assessment of Positive Symptoms and accepted definitions. The main statistical measures included repeated paired-sample t tests and binary logistic regression analyses.</p><p><strong>Results: </strong>Of 636 consenting patients, mean (SD) age was 23.8 (4.75) years; 191 patients were female, 444 were male, and 1 patient was nonbinary. Remission rates were high, and relapse rates were relatively low: 591 individuals had baseline delusions, of which 558 (94.4%) achieved remission. Of these 558 patients, only 182 (32.6%) had a subsequent relapse to a second or later episode of psychosis. Of the 182 patients who did relapse, however, a large proportion (115 [63.2%]) reported threshold-level delusions. Of these 115, 104 patients (90.4%) had thematic delusion content consistent with that reported during the index (first) episode. Those who relapsed with delusions had fewer delusion themes present during subsequent episodes of psychosis compared with the index episode and lower levels of other psychotic and nonpsychotic symptoms.</p><p><strong>Conclusions and relevance: </strong>Specialized early intervention services for psychosis can achieve high rates of sustained remission. However, in this study, the minority of individuals with delusions who later relapsed experienced similar delusion themes during subsequent episodes. These findings raise important considerations for the conceptualization of delusions and have cl","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11307164/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141897489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dose-Dependent Association Between Body Mass Index and Mental Health and Changes Over Time.","authors":"Shanquan Chen, Hao Zhang, Min Gao, Daiane Borges Machado, Huajie Jin, Nathaniel Scherer, Wei Sun, Feng Sha, Tracey Smythe, Tamsin J Ford, Hannah Kuper","doi":"10.1001/jamapsychiatry.2024.0921","DOIUrl":"10.1001/jamapsychiatry.2024.0921","url":null,"abstract":"<p><strong>Importance: </strong>Overweight and obesity affect 340 million adolescents worldwide and constitute a risk factor for poor mental health. Understanding the association between body mass index (BMI) and mental health in adolescents may help to address rising mental health issues; however, existing studies lack comprehensive evaluations spanning diverse countries and periods.</p><p><strong>Objective: </strong>To estimate the association between BMI and mental health and examine changes over time from 2002 to 2018.</p><p><strong>Design, setting, and participants: </strong>This was a repeated multicountry cross-sectional study conducted between 2002 and 2018 and utilizing data from the Health Behaviour in School-aged Children (HBSC) survey in Europe and North America. The study population consisted of more than 1 million adolescents aged 11 to 15 years, with all surveyed children included in the analysis. Data were analyzed from October 2022 to March 2023.</p><p><strong>Main outcomes and measures: </strong>Mental health difficulties were measured by an 8-item scale for psychological concerns, scoring from 0 to 32, where a higher score reflects greater psychosomatic issues. BMI was calculated using weight divided by height squared and adjusted for age and sex. Data were fitted by multilevel generalized additive model. Confounders included sex, living with parents, sibling presence, academic pressure, the experience of being bullied, family affluence, screen time, and physical activity.</p><p><strong>Results: </strong>Our analysis of 1 036 869 adolescents surveyed from 2002 to 2018, with a mean (SD) age of 13.55 (1.64) years and comprising 527 585 girls (50.9%), revealed a consistent U-shaped association between BMI and mental health. After accounting for confounders, adolescents with low body mass and overweight or obesity had increased psychosomatic symptoms compared to those with healthy weight (unstandardized β, 0.14; 95% CI, 0.08 to 0.19; unstandardized β, 0.27; 95% CI, 0.24 to 0.30; and unstandardized β, 0.62; 95% CI, 0.56 to 0.67, respectively), while adolescents with underweight had fewer symptoms (unstandardized β, -0.18; 95% CI, -0.22 to -0.15). This association was observed across different years, sex, and grade, indicating a broad relevance to adolescent mental health. Compared to 2002, psychosomatic concerns increased significantly in 2006 (unstandardized β, 0.19; 95% CI, 0.11 to 0.26), 2010 (unstandardized β, 0.14; 95% CI, 0.07 to 0.22), 2014 (unstandardized β, 0.48; 95% CI, 0.40 to 0.56), and 2018 (unstandardized β, 0.82; 95% CI, 0.74 to 0.89). Girls reported significantly higher psychosomatic concerns than boys (unstandardized β, 2.27; 95% CI, 2.25 to 2.30). Compared to primary school, psychosomatic concerns rose significantly in middle school (unstandardized β, 1.15; 95% CI, 1.12 to 1.18) and in high school (unstandardized β, 2.12; 95% CI, 2.09 to 2.15).</p><p><strong>Conclusions and relevance: </strong>Our study revealed a ","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11097104/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140921400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential Outcomes of Placebo Treatment Across 9 Psychiatric Disorders: A Systematic Review and Meta-Analysis.","authors":"Tom Bschor, Lea Nagel, Josephine Unger, Guido Schwarzer, Christopher Baethge","doi":"10.1001/jamapsychiatry.2024.0994","DOIUrl":"10.1001/jamapsychiatry.2024.0994","url":null,"abstract":"<p><strong>Importance: </strong>Placebo is the only substance systematically evaluated across common psychiatric diagnoses, but comprehensive cross-diagnostic comparisons are lacking.</p><p><strong>Objective: </strong>To compare changes in placebo groups in recent high-quality randomized clinical trials (RCTs) across a broad spectrum of psychiatric disorders in adult patients.</p><p><strong>Data sources: </strong>MEDLINE and the Cochrane Database of Systematic Reviews were systematically searched in March 2022 for the latest systematic reviews meeting predetermined high-quality criteria for 9 major psychiatric diagnoses.</p><p><strong>Study selection: </strong>Using these reviews, the top 10 highest-quality (ie, lowest risk of bias, according to the Cochrane Risk of Bias tool) and most recent placebo-controlled RCTs per diagnosis (totaling 90 RCTs) were selected, adhering to predetermined inclusion and exclusion criteria.</p><p><strong>Data extraction and synthesis: </strong>Following the Cochrane Handbook, 2 authors independently carried out the study search, selection, and data extraction. Cross-diagnosis comparisons were based on standardized pre-post effect sizes (mean change divided by its SD) for each placebo group. This study is reported following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline.</p><p><strong>Main outcome and measure: </strong>The primary outcome, pooled pre-post placebo effect sizes (dav) with 95% CIs per diagnosis, was determined using random-effects meta-analyses. A Q test assessed statistical significance of differences across diagnoses. Heterogeneity and small-study effects were evaluated as appropriate.</p><p><strong>Results: </strong>A total of 90 RCTs with 9985 placebo-treated participants were included. Symptom severity improved with placebo in all diagnoses. Pooled pre-post placebo effect sizes differed across diagnoses (Q = 88.5; df = 8; P < .001), with major depressive disorder (dav = 1.40; 95% CI, 1.24-1.56) and generalized anxiety disorder (dav = 1.23; 95% CI, 1.06-1.41) exhibiting the largest dav. Panic disorder, attention-deficit/hyperactivity disorder, posttraumatic stress disorder, social phobia, and mania showed dav between 0.68 and 0.92, followed by OCD (dav = 0.65; 95% CI, 0.51-0.78) and schizophrenia (dav = 0.59; 95% CI, 0.41-0.76).</p><p><strong>Conclusion and relevance: </strong>This systematic review and meta-analysis found that symptom improvement with placebo treatment was substantial in all conditions but varied across the 9 included diagnoses. These findings may help in assessing the necessity and ethical justification of placebo controls, in evaluating treatment effects in uncontrolled studies, and in guiding patients in treatment decisions. These findings likely encompass the true placebo effect, natural disease course, and nonspecific effects.</p>","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11137661/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141160401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Roles That Psychiatrists Can Play in International Negotiations to Reduce Conflict.","authors":"Neil Krishan Aggarwal","doi":"10.1001/jamapsychiatry.2024.1379","DOIUrl":"10.1001/jamapsychiatry.2024.1379","url":null,"abstract":"","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141306030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic Architectures of Adolescent Depression Trajectories in 2 Longitudinal Population Cohorts.","authors":"Poppy Z Grimes, Mark J Adams, Gladi Thng, Amelia J Edmonson-Stait, Yi Lu, Andrew McIntosh, Breda Cullen, Henrik Larsson, Heather C Whalley, Alex S F Kwong","doi":"10.1001/jamapsychiatry.2024.0983","DOIUrl":"10.1001/jamapsychiatry.2024.0983","url":null,"abstract":"<p><strong>Importance: </strong>Adolescent depression is characterized by diverse symptom trajectories over time and has a strong genetic influence. Research has determined genetic overlap between depression and other psychiatric conditions; investigating the shared genetic architecture of heterogeneous depression trajectories is crucial for understanding disease etiology, prediction, and early intervention.</p><p><strong>Objective: </strong>To investigate univariate and multivariate genetic risk for adolescent depression trajectories and assess generalizability across ancestries.</p><p><strong>Design, setting, and participants: </strong>This cohort study entailed longitudinal growth modeling followed by polygenic risk score (PRS) association testing for individual and multitrait genetic models. Two longitudinal cohorts from the US and UK were used: the Adolescent Brain and Cognitive Development (ABCD; N = 11 876) study and the Avon Longitudinal Study of Parents and Children (ALSPAC; N = 8787) study. Included were adolescents with genetic information and depression measures at up to 8 and 4 occasions, respectively. Study data were analyzed January to July 2023.</p><p><strong>Main outcomes and measures: </strong>Trajectories were derived from growth mixture modeling of longitudinal depression symptoms. PRSs were computed for depression, anxiety, neuroticism, bipolar disorder, schizophrenia, attention-deficit/hyperactivity disorder, and autism in European ancestry. Genomic structural equation modeling was used to build multitrait genetic models of psychopathology followed by multitrait PRS. Depression PRSs were computed in African, East Asian, and Hispanic ancestries in the ABCD cohort only. Association testing was performed between all PRSs and trajectories for both cohorts.</p><p><strong>Results: </strong>A total sample size of 14 112 adolescents (at baseline: mean [SD] age, 10.5 [0.5] years; 7269 male sex [52%]) from both cohorts were included in this analysis. Distinct depression trajectories (stable low, adolescent persistent, increasing, and decreasing) were replicated in the ALSPAC cohort (6096 participants; 3091 female [51%]) and ABCD cohort (8016 participants; 4274 male [53%]) between ages 10 and 17 years. Most univariate PRSs showed significant uniform associations with persistent trajectories, but fewer were significantly associated with intermediate (increasing and decreasing) trajectories. Multitrait PRSs-derived from a hierarchical factor model-showed the strongest associations for persistent trajectories (ABCD cohort: OR, 1.46; 95% CI, 1.26-1.68; ALSPAC cohort: OR, 1.34; 95% CI, 1.20-1.49), surpassing the effect size of univariate PRS in both cohorts. Multitrait PRSs were associated with intermediate trajectories but to a lesser extent (ABCD cohort: hierarchical increasing, OR, 1.27; 95% CI, 1.13-1.43; decreasing, OR, 1.23; 95% CI, 1.09-1.40; ALSPAC cohort: hierarchical increasing, OR, 1.16; 95% CI, 1.04-1.28; decreasing, OR, 1.32; 9","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11097103/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140921304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}