Pub Date : 2024-10-16DOI: 10.1001/jamapsychiatry.2024.3194
Charlotte M Pretzsch,Martina Arenella,Jason P Lerch,Michael V Lombardo,Christian Beckmann,Tim Schaefer,Johanna Leyhausen,Caroline Gurr,Anke Bletsch,Lisa M Berg,Hanna Seelemeyer,Dorothea L Floris,Bethany Oakley,Eva Loth,Thomas Bourgeron,Tony Charman,Jan Buitelaar,Grainne McAlonan,Declan Murphy,Christine Ecker,
ImportanceIn the neurotypical brain, regions develop in coordinated patterns, providing a fundamental scaffold for brain function and behavior. Whether altered patterns contribute to clinical profiles in neurodevelopmental conditions, including autism, remains unclear.ObjectivesTo examine if, in autism, brain regions develop differently in relation to each other and how these differences are associated with molecular/genomic mechanisms and symptomatology.Design, Setting, and ParticipantsThis study was an analysis of one the largest deep-phenotyped, case-control, longitudinal (2 assessments separated by approximately 12-24 months) structural magnetic resonance imaging and cognitive-behavioral autism datasets (EU-AIMS Longitudinal European Autism Project [LEAP]; study dates, February 2014-November 2017) and an out-of-sample validation in the Brain Development Imaging Study (BrainMapASD) independent cohort. Analyses were performed during the 2022 to 2023 period. This multicenter study included autistic and neurotypical children, adolescents, and adults. Autistic participants were included if they had an existing autism diagnosis (DSM-IV/International Statistical Classification of Diseases and Related Health Problems, Tenth Revision or DSM-5 criteria). Autistic participants with co-occurring psychiatric conditions (except psychosis/bipolar disorder) and those taking regular medications were included.ExposuresNeuroanatomy of neurotypical and autistic participants.Main Outcomes and MeasuresIntraindividual changes in surface area and cortical thickness over time, analyzed via surface-based morphometrics.ResultsA total of 386 individuals in the LEAP cohort (6-31 years at first visit; 214 autistic individuals, mean [SD] age, 17.3 [5.4] years; 154 male [72.0%] and 172 neurotypical individuals, mean [SD] age, 16.35 [5.7] years; 108 male [62.8%]) and 146 individuals in the BrainMapASD cohort (11-18 years at first visit; 49 autistic individuals, mean [SD] age, 14.31 [2.4] years; 42 male [85.7%] and 97 neurotypical individuals, mean [SD] age, 14.10 [2.5] years; 58 male [59.8%]). Maturational between-group differences in cortical thickness and surface area were established that were mostly driven by sensorimotor regions (eg, across features, absolute loadings for early visual cortex ranged from 0.07 to 0.11, whereas absolute loadings for dorsolateral prefrontal cortex ranged from 0.005 to 0.06). Neurodevelopmental differences were transcriptomically enriched for genes expressed in several cell types and during various neurodevelopmental stages, and autism candidate genes (eg, downregulated genes in autism, including those regulating synaptic transmission; enrichment odds ratio =3.7; P =2.6 × -10). A more neurotypical, less autismlike maturational profile was associated with fewer social difficulties and more typical sensory processing (false discovery rate P <.05; Pearson r ≥0.17). Results were replicated in the independently collected BrainMapASD cohort.Conclu
{"title":"Patterns of Brain Maturation in Autism and Their Molecular Associations.","authors":"Charlotte M Pretzsch,Martina Arenella,Jason P Lerch,Michael V Lombardo,Christian Beckmann,Tim Schaefer,Johanna Leyhausen,Caroline Gurr,Anke Bletsch,Lisa M Berg,Hanna Seelemeyer,Dorothea L Floris,Bethany Oakley,Eva Loth,Thomas Bourgeron,Tony Charman,Jan Buitelaar,Grainne McAlonan,Declan Murphy,Christine Ecker,","doi":"10.1001/jamapsychiatry.2024.3194","DOIUrl":"https://doi.org/10.1001/jamapsychiatry.2024.3194","url":null,"abstract":"ImportanceIn the neurotypical brain, regions develop in coordinated patterns, providing a fundamental scaffold for brain function and behavior. Whether altered patterns contribute to clinical profiles in neurodevelopmental conditions, including autism, remains unclear.ObjectivesTo examine if, in autism, brain regions develop differently in relation to each other and how these differences are associated with molecular/genomic mechanisms and symptomatology.Design, Setting, and ParticipantsThis study was an analysis of one the largest deep-phenotyped, case-control, longitudinal (2 assessments separated by approximately 12-24 months) structural magnetic resonance imaging and cognitive-behavioral autism datasets (EU-AIMS Longitudinal European Autism Project [LEAP]; study dates, February 2014-November 2017) and an out-of-sample validation in the Brain Development Imaging Study (BrainMapASD) independent cohort. Analyses were performed during the 2022 to 2023 period. This multicenter study included autistic and neurotypical children, adolescents, and adults. Autistic participants were included if they had an existing autism diagnosis (DSM-IV/International Statistical Classification of Diseases and Related Health Problems, Tenth Revision or DSM-5 criteria). Autistic participants with co-occurring psychiatric conditions (except psychosis/bipolar disorder) and those taking regular medications were included.ExposuresNeuroanatomy of neurotypical and autistic participants.Main Outcomes and MeasuresIntraindividual changes in surface area and cortical thickness over time, analyzed via surface-based morphometrics.ResultsA total of 386 individuals in the LEAP cohort (6-31 years at first visit; 214 autistic individuals, mean [SD] age, 17.3 [5.4] years; 154 male [72.0%] and 172 neurotypical individuals, mean [SD] age, 16.35 [5.7] years; 108 male [62.8%]) and 146 individuals in the BrainMapASD cohort (11-18 years at first visit; 49 autistic individuals, mean [SD] age, 14.31 [2.4] years; 42 male [85.7%] and 97 neurotypical individuals, mean [SD] age, 14.10 [2.5] years; 58 male [59.8%]). Maturational between-group differences in cortical thickness and surface area were established that were mostly driven by sensorimotor regions (eg, across features, absolute loadings for early visual cortex ranged from 0.07 to 0.11, whereas absolute loadings for dorsolateral prefrontal cortex ranged from 0.005 to 0.06). Neurodevelopmental differences were transcriptomically enriched for genes expressed in several cell types and during various neurodevelopmental stages, and autism candidate genes (eg, downregulated genes in autism, including those regulating synaptic transmission; enrichment odds ratio =3.7; P =2.6 × -10). A more neurotypical, less autismlike maturational profile was associated with fewer social difficulties and more typical sensory processing (false discovery rate P <.05; Pearson r ≥0.17). Results were replicated in the independently collected BrainMapASD cohort.Conclu","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":25.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443794","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}
Pub Date : 2024-10-16DOI: 10.1001/jamapsychiatry.2024.3049
Jessica Girault
{"title":"Development of Sensory Regions vs the Rest of the Cortex in Autism.","authors":"Jessica Girault","doi":"10.1001/jamapsychiatry.2024.3049","DOIUrl":"https://doi.org/10.1001/jamapsychiatry.2024.3049","url":null,"abstract":"","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":25.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443791","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}
Pub Date : 2024-10-16DOI: 10.1001/jamapsychiatry.2024.2890
Lena Feber,Natalie L Peter,Virginia Chiocchia,Johannes Schneider-Thoma,Spyridon Siafis,Irene Bighelli,Wulf-Peter Hansen,Xiao Lin,Daniel Prates-Baldez,Georgia Salanti,Richard S E Keefe,Rolf R Engel,Stefan Leucht
ImportanceCognitive deficits are a substantial part of the symptoms of schizophrenia spectrum disorders (SSDs) and contribute heavily to the burden of disease. Antipsychotic drugs are not cognitive enhancers, but due to their different receptor-binding profiles, they could differ in their effects on cognition. No previous network meta-analysis compared antipsychotics to placebo, which is important to determine whether use of these drugs is associated with cognitive performance in SSDs at all.ObjectiveTo determine the association of treatment with various antipsychotics and cognition in patients with SSDs.Data SourcesCochrane Schizophrenia Trials Register through June 25, 2023.Study SelectionRandomized clinical trials examining the effects on cognition of antipsychotic drugs or placebo in participants with SSD.Data Extraction and SynthesisA systematic review and random-effects frequentist network meta-analysis was performed following Preferred Reporting Items for Systematic Reviews and Meta-analyses-Network Meta-analysis reporting guideline.Main Outcomes and MeasuresThe primary outcome was change in overall cognition score calculated for each study. Secondary outcomes included cognitive domains, quality of life, and functioning.ResultsThis study included 68 studies involving 9525 participants (mean [SD] age, 35.1 [8.9] years; 5878 male [70%] and 2890 [30%] female; some studies did not provide this information). There were few clear differences between antipsychotics, but first-generation dopamine antagonists haloperidol (standardized mean difference [SMD], 0.04; 95% CI, -0.25 to 0.33) and fluphenazine (SMD, 0.15; 95% CI, -0.39 to 0.69) as well as clozapine (SMD, 0.12; 95% CI, -0.23 to 0.48) ranked low. No individual antipsychotic was associated with a clearly better outcome than placebo, but antipsychotics as a group were, with small effect sizes (mean SMDs: adrenergic/low dopamine, 0.21; serotonergic/dopaminergic, 0.26; muscarinic, 0.28; dopaminergic, 0.40).Conclusion and RelevanceAlthough data are relatively sparse, those reviewed in this study suggest that first-generation dopamine antagonists and clozapine should be avoided when cognitive deficits are a concern. Antipsychotics are not procognitive drugs. The overall small superior outcomes compared to placebo may be explained by less disordered thought patterns associated with fewer positive symptoms rather than cognitive deficits in the proper sense. The findings also suggest that harmonizing measurement of cognitive function in randomized clinical trials would be beneficial.
{"title":"Antipsychotic Drugs and Cognitive Function: A Systematic Review and Pairwise Network Meta-Analysis.","authors":"Lena Feber,Natalie L Peter,Virginia Chiocchia,Johannes Schneider-Thoma,Spyridon Siafis,Irene Bighelli,Wulf-Peter Hansen,Xiao Lin,Daniel Prates-Baldez,Georgia Salanti,Richard S E Keefe,Rolf R Engel,Stefan Leucht","doi":"10.1001/jamapsychiatry.2024.2890","DOIUrl":"https://doi.org/10.1001/jamapsychiatry.2024.2890","url":null,"abstract":"ImportanceCognitive deficits are a substantial part of the symptoms of schizophrenia spectrum disorders (SSDs) and contribute heavily to the burden of disease. Antipsychotic drugs are not cognitive enhancers, but due to their different receptor-binding profiles, they could differ in their effects on cognition. No previous network meta-analysis compared antipsychotics to placebo, which is important to determine whether use of these drugs is associated with cognitive performance in SSDs at all.ObjectiveTo determine the association of treatment with various antipsychotics and cognition in patients with SSDs.Data SourcesCochrane Schizophrenia Trials Register through June 25, 2023.Study SelectionRandomized clinical trials examining the effects on cognition of antipsychotic drugs or placebo in participants with SSD.Data Extraction and SynthesisA systematic review and random-effects frequentist network meta-analysis was performed following Preferred Reporting Items for Systematic Reviews and Meta-analyses-Network Meta-analysis reporting guideline.Main Outcomes and MeasuresThe primary outcome was change in overall cognition score calculated for each study. Secondary outcomes included cognitive domains, quality of life, and functioning.ResultsThis study included 68 studies involving 9525 participants (mean [SD] age, 35.1 [8.9] years; 5878 male [70%] and 2890 [30%] female; some studies did not provide this information). There were few clear differences between antipsychotics, but first-generation dopamine antagonists haloperidol (standardized mean difference [SMD], 0.04; 95% CI, -0.25 to 0.33) and fluphenazine (SMD, 0.15; 95% CI, -0.39 to 0.69) as well as clozapine (SMD, 0.12; 95% CI, -0.23 to 0.48) ranked low. No individual antipsychotic was associated with a clearly better outcome than placebo, but antipsychotics as a group were, with small effect sizes (mean SMDs: adrenergic/low dopamine, 0.21; serotonergic/dopaminergic, 0.26; muscarinic, 0.28; dopaminergic, 0.40).Conclusion and RelevanceAlthough data are relatively sparse, those reviewed in this study suggest that first-generation dopamine antagonists and clozapine should be avoided when cognitive deficits are a concern. Antipsychotics are not procognitive drugs. The overall small superior outcomes compared to placebo may be explained by less disordered thought patterns associated with fewer positive symptoms rather than cognitive deficits in the proper sense. The findings also suggest that harmonizing measurement of cognitive function in randomized clinical trials would be beneficial.","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":25.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443793","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}
Pub Date : 2024-10-16DOI: 10.1001/jamapsychiatry.2024.3206
Ulrich Reininghaus,Annika S Reinhold,Stefan Priebe,Christian Rauschenberg,Leonie Fleck,Anita Schick,Frederike Schirmbeck,Inez Myin-Germeys,Craig Morgan,Jessica A Hartmann
ImportanceThe field of public mental health is evolving to tackle the profound impact of global challenges such as climate change, migration, and health crises. These issues accentuate health and social inequities, necessitating a focus on how to achieve interventions that are equitable and enhance mental health across all societal strata.ObservationsPopulation-based interventions can inadvertently exacerbate mental health inequities if they are primarily assessed by, and beneficial to, the most advantaged. Dimensional approaches such as the Hierarchical Taxonomy of Psychopathology offer a more nuanced understanding of mental health, capturing the whole spectrum of symptom severity in a culturally sensitive and less stigmatizing way. In addition, adopting intersectional, participatory, and settings-based approaches can help tailor interventions to the unique needs of marginalized groups.Conclusions and RelevanceIn moving toward more equitable interventions in public mental health, it is imperative to adopt an approach that integrates multiple frameworks to address the complexity of mental health inequities. At the core of this integrated approach is the recognition that mental health exists on a continuum. Intersectionality theory can help to identify the root (fundamental) causes of mental health while participatory and settings-based approaches ensure that interventions are relevant, culturally sensitive, and accessible to all. By adopting these approaches, interventions that are not only effective in "shifting the curve" toward better mental health, but are also equitable in their reach and impact, can be developed.
{"title":"Toward Equitable Interventions in Public Mental Health: A Review.","authors":"Ulrich Reininghaus,Annika S Reinhold,Stefan Priebe,Christian Rauschenberg,Leonie Fleck,Anita Schick,Frederike Schirmbeck,Inez Myin-Germeys,Craig Morgan,Jessica A Hartmann","doi":"10.1001/jamapsychiatry.2024.3206","DOIUrl":"https://doi.org/10.1001/jamapsychiatry.2024.3206","url":null,"abstract":"ImportanceThe field of public mental health is evolving to tackle the profound impact of global challenges such as climate change, migration, and health crises. These issues accentuate health and social inequities, necessitating a focus on how to achieve interventions that are equitable and enhance mental health across all societal strata.ObservationsPopulation-based interventions can inadvertently exacerbate mental health inequities if they are primarily assessed by, and beneficial to, the most advantaged. Dimensional approaches such as the Hierarchical Taxonomy of Psychopathology offer a more nuanced understanding of mental health, capturing the whole spectrum of symptom severity in a culturally sensitive and less stigmatizing way. In addition, adopting intersectional, participatory, and settings-based approaches can help tailor interventions to the unique needs of marginalized groups.Conclusions and RelevanceIn moving toward more equitable interventions in public mental health, it is imperative to adopt an approach that integrates multiple frameworks to address the complexity of mental health inequities. At the core of this integrated approach is the recognition that mental health exists on a continuum. Intersectionality theory can help to identify the root (fundamental) causes of mental health while participatory and settings-based approaches ensure that interventions are relevant, culturally sensitive, and accessible to all. By adopting these approaches, interventions that are not only effective in \"shifting the curve\" toward better mental health, but are also equitable in their reach and impact, can be developed.","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":25.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443792","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}
Pub Date : 2024-10-09DOI: 10.1001/jamapsychiatry.2024.3062
Robert A McCutcheon, Richard S E Keefe, Philip M McGuire, Andre Marquand
<p><strong>Importance: </strong>Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the disorder, cognitive impairments may reflect a greater exposure to general risk factors for poor cognition.</p><p><strong>Objective: </strong>To determine the extent that impairments in cognition in psychosis reflect risk factor exposures.</p><p><strong>Design, setting, and participants: </strong>This cross-sectional study examined the relationship between exposures and cognitive function using data from the Bipolar-Schizophrenia Network on Intermediate Phenotypes studies 1 and 2 across 6 sites. Participants included healthy controls; patients with schizophrenia, schizoaffective disorder, or bipolar I disorder with psychosis; and relatives of patients. Predictive modeling was performed using extreme gradient boosting regression to train a composite cognitive score prediction model with nested cross-validation. Shapley additive explanations values were used to examine the relationship between exposures and cognitive function.</p><p><strong>Exposure: </strong>Exposures were chosen based on associations with cognition previously identified: age, sex, race and ethnicity, childhood adversity, education, parental education, parental socioeconomic status, parental age at birth, substance use, antipsychotic dose, and diagnosis.</p><p><strong>Main outcomes and measures: </strong>Cognition was assessed using the Brief Assessment of Cognition in Schizophrenia.</p><p><strong>Results: </strong>A total of 3370 participants were included: 840 healthy controls, 709 patients with schizophrenia, 541 with schizoaffective disorder, 457 with bipolar I disorder with psychosis, and 823 relatives of patients. The mean (SD) age was 37.9 (13.3) years; 1887 were female (56%) and 1483 male (44%). The model predicted cognitive scores with high accuracy: out-of-sample Pearson correlation between predicted and observed cognitive composite score was r = 0.72 (SD = 0.03). Individuals with schizophrenia (z = -1.4), schizoaffective disorder (z = -1.2), and bipolar I disorder with psychosis (z = -0.5) all had significantly worse cognitive composite scores than controls. Factors other than diagnosis and medication accounted for much of this impairment (schizophrenia z = -0.73, schizoaffective disorder z = -0.64, bipolar I disorder with psychosis z = -0.13). Diagnosis accounted for a lesser proportion of this deficit (schizophrenia z = -0.29, schizoaffective disorder z = -0.15, bipolar I disorder with psychosis z = -0.13), and antipsychotic use accounted for a similar deficit across diagnostic groups (schizophrenia z = -0.37, schizoaffective disorder z = -0.33, bipolar I disorder with psychosis z = -0.26).</p><p><strong>Conclusions and relevance: </strong>This study found that transdiagnostic factors accounted for a meaningful share of the variance in cognitive fu
重要性：认知功能与年龄、性别、教育程度和童年逆境等多种因素有关，精神病患者的认知功能也会受损。除了精神障碍的特殊影响外，认知功能障碍还可能反映出患者更多地暴露于导致认知功能低下的一般风险因素：目的：确定精神病患者的认知障碍在多大程度上反映了所暴露的风险因素：这项横断面研究利用双相情感障碍-精神分裂症中间表型网络研究 1 和研究 2 在 6 个地点获得的数据，研究了暴露因素与认知功能之间的关系。参与者包括健康对照组；精神分裂症、分裂情感障碍或伴有精神病的双相情感障碍 I 型患者；以及患者亲属。预测建模采用极端梯度提升回归法，通过嵌套交叉验证训练综合认知分数预测模型。沙普利加法解释值用于检验暴露与认知功能之间的关系。暴露：暴露的选择基于之前确定的与认知相关的因素：年龄、性别、种族和民族、童年逆境、教育、父母教育、父母的社会经济地位、父母的出生年龄、药物使用、抗精神病药物剂量和诊断：认知能力采用精神分裂症认知能力简要评估进行评估：结果：共纳入 3370 名参与者：结果：共纳入了 3370 名参与者：840 名健康对照者、709 名精神分裂症患者、541 名分裂情感障碍患者、457 名躁狂 I 型精神障碍患者以及 823 名患者亲属。平均（标清）年龄为 37.9 (13.3) 岁；1887 名女性（占 56%），1483 名男性（占 44%）。该模型预测认知分数的准确性很高：预测认知综合分数与观察认知综合分数之间的样本外皮尔逊相关性为 r = 0.72（标度 = 0.03）。精神分裂症（z =-1.4）、分裂情感障碍（z =-1.2）和伴有精神病的双相情感障碍 I（z =-0.5）患者的认知综合评分均明显低于对照组。除诊断和药物治疗外，其他因素也是造成认知障碍的主要原因（精神分裂症 z = -0.73，分裂情感障碍 z = -0.64，伴有精神病的双相 I 型障碍 z = -0.13）。诊断在这一缺陷中所占比例较小（精神分裂症 z = -0.29，分裂情感性障碍 z = -0.15，Ⅰ型双相情感障碍伴有精神病 z =-0.13），而抗精神病药物的使用在各诊断组中造成的缺陷相似（精神分裂症 z = -0.37，分裂情感性障碍 z = -0.33，Ⅰ型双相情感障碍伴有精神病 z =-0.26）：本研究发现，跨诊断因素在精神病认知功能的变异中占了相当大的比例。很大一部分精神病患者的认知功能障碍可能反映了与普通人群认知功能相关的因素。因此，在考虑干预措施时，以诊断为导向、以症状为目标的方法可能是合适的。
{"title":"Deconstructing Cognitive Impairment in Psychosis With a Machine Learning Approach.","authors":"Robert A McCutcheon, Richard S E Keefe, Philip M McGuire, Andre Marquand","doi":"10.1001/jamapsychiatry.2024.3062","DOIUrl":"10.1001/jamapsychiatry.2024.3062","url":null,"abstract":"<p><strong>Importance: </strong>Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the disorder, cognitive impairments may reflect a greater exposure to general risk factors for poor cognition.</p><p><strong>Objective: </strong>To determine the extent that impairments in cognition in psychosis reflect risk factor exposures.</p><p><strong>Design, setting, and participants: </strong>This cross-sectional study examined the relationship between exposures and cognitive function using data from the Bipolar-Schizophrenia Network on Intermediate Phenotypes studies 1 and 2 across 6 sites. Participants included healthy controls; patients with schizophrenia, schizoaffective disorder, or bipolar I disorder with psychosis; and relatives of patients. Predictive modeling was performed using extreme gradient boosting regression to train a composite cognitive score prediction model with nested cross-validation. Shapley additive explanations values were used to examine the relationship between exposures and cognitive function.</p><p><strong>Exposure: </strong>Exposures were chosen based on associations with cognition previously identified: age, sex, race and ethnicity, childhood adversity, education, parental education, parental socioeconomic status, parental age at birth, substance use, antipsychotic dose, and diagnosis.</p><p><strong>Main outcomes and measures: </strong>Cognition was assessed using the Brief Assessment of Cognition in Schizophrenia.</p><p><strong>Results: </strong>A total of 3370 participants were included: 840 healthy controls, 709 patients with schizophrenia, 541 with schizoaffective disorder, 457 with bipolar I disorder with psychosis, and 823 relatives of patients. The mean (SD) age was 37.9 (13.3) years; 1887 were female (56%) and 1483 male (44%). The model predicted cognitive scores with high accuracy: out-of-sample Pearson correlation between predicted and observed cognitive composite score was r = 0.72 (SD = 0.03). Individuals with schizophrenia (z = -1.4), schizoaffective disorder (z = -1.2), and bipolar I disorder with psychosis (z = -0.5) all had significantly worse cognitive composite scores than controls. Factors other than diagnosis and medication accounted for much of this impairment (schizophrenia z = -0.73, schizoaffective disorder z = -0.64, bipolar I disorder with psychosis z = -0.13). Diagnosis accounted for a lesser proportion of this deficit (schizophrenia z = -0.29, schizoaffective disorder z = -0.15, bipolar I disorder with psychosis z = -0.13), and antipsychotic use accounted for a similar deficit across diagnostic groups (schizophrenia z = -0.37, schizoaffective disorder z = -0.33, bipolar I disorder with psychosis z = -0.26).</p><p><strong>Conclusions and relevance: </strong>This study found that transdiagnostic factors accounted for a meaningful share of the variance in cognitive fu","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11465119/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142390686","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}
Pub Date : 2024-10-09DOI: 10.1001/jamapsychiatry.2024.3072
John N Constantino, Laura J Dilly
{"title":"An Architecture for Transformation in Child Mental Health.","authors":"John N Constantino, Laura J Dilly","doi":"10.1001/jamapsychiatry.2024.3072","DOIUrl":"https://doi.org/10.1001/jamapsychiatry.2024.3072","url":null,"abstract":"","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142390685","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}
Pub Date : 2024-10-02DOI: 10.1001/jamapsychiatry.2024.2752
M Ishrat Husain, Tayyeba Kiran, Rabia Sattar, Ameer B Khoso, Ming Wai Wan, Daisy R Singla, Madeha Umer, Rabdino Mangrio, Paul Bassett, Imran B Chaudhry, Shehla N Zafar, Farhat A Jafri, Nasim Chaudhry, Nusrat Husain
<p><strong>Importance: </strong>Male postpartum depression is prevalent across populations; however, there is limited evidence on strategies to address it, particularly in low-income settings.</p><p><strong>Objective: </strong>To evaluate the effectiveness of Learning Through Play Plus Dads (LTP + Dads), a nonspecialist-delivered psychosocial intervention, in improving symptoms of male postpartum depression compared to treatment as usual.</p><p><strong>Design, setting, and participants: </strong>This cluster randomized clinical trial was conducted in Karachi, Pakistan, between June 2018 and November 2019. Assessors were blind to treatment allocation. Participants were recruited from 2 large towns in the city of Karachi via basic health units. Fathers aged 18 years and older with a DSM-5 diagnosis of major depressive episode and a child younger than 30 months were recruited. Of 1582 fathers approached, 1527 were screened and 357 were randomized in a 1:1 ratio to either the intervention or treatment as usual; 328 were included in the final analysis. Data were analyzed from April to June 2022.</p><p><strong>Interventions: </strong>LTP + Dads is a manualized intervention combining parenting skills training, play therapy, and cognitive behavior therapy. The intervention was delivered by community health workers via 12 group sessions over 4 months.</p><p><strong>Main outcomes and measures: </strong>The primary outcome was change in 17-item Hamilton Depression Rating Scale score at 4 months. Secondary outcomes included anxiety symptoms; parenting stress; intimate partner violence; functioning; quality of life; and child social, emotional, and physical health outcomes. Assessments were completed at baseline and 4 and 6 months postrandomization.</p><p><strong>Results: </strong>Of the 357 fathers included (mean [SD] age, 31.44 [7.24] years), 171 were randomized to the intervention and 186 to treatment as usual. Participants randomized to the intervention demonstrated significantly greater improvements in depression (group difference ratio [GDR], 0.66; 95% CI, 0.47 to 0.91; P < .001), anxiety (GDR, 0.62; 95% CI, 0.48 to 0.81; P < .001), parenting stress (GDR, -12.5; 95% CI, -19.1 to -6.0; P < .001), intimate partner violence (GDR, 0.89; 95% CI, 0.80 to 1.00; P = .05), disability (GDR, 0.77; 95% CI, 0.61 to 0.97; P = .03), and health-related quality of life (GDR, 12.7; 95% CI, 0.17 to 0.34; P < .001) at 4 months. The difference in depression and parenting stress was sustained at 6 months. Children of fathers randomized to the parenting intervention had significantly greater improvements in social-emotional development scores (mean difference, -20.8; 95% CI, -28.8 to -12.9; P < .001) at 6 months.</p><p><strong>Conclusions and relevance: </strong>The psychosocial parenting intervention in this study has the potential to improve paternal mental health and child development in Pakistan. Further studies in other populations and with longer follow-up are warranted
{"title":"A Group Parenting Intervention for Male Postpartum Depression: A Cluster Randomized Clinical Trial.","authors":"M Ishrat Husain, Tayyeba Kiran, Rabia Sattar, Ameer B Khoso, Ming Wai Wan, Daisy R Singla, Madeha Umer, Rabdino Mangrio, Paul Bassett, Imran B Chaudhry, Shehla N Zafar, Farhat A Jafri, Nasim Chaudhry, Nusrat Husain","doi":"10.1001/jamapsychiatry.2024.2752","DOIUrl":"10.1001/jamapsychiatry.2024.2752","url":null,"abstract":"<p><strong>Importance: </strong>Male postpartum depression is prevalent across populations; however, there is limited evidence on strategies to address it, particularly in low-income settings.</p><p><strong>Objective: </strong>To evaluate the effectiveness of Learning Through Play Plus Dads (LTP + Dads), a nonspecialist-delivered psychosocial intervention, in improving symptoms of male postpartum depression compared to treatment as usual.</p><p><strong>Design, setting, and participants: </strong>This cluster randomized clinical trial was conducted in Karachi, Pakistan, between June 2018 and November 2019. Assessors were blind to treatment allocation. Participants were recruited from 2 large towns in the city of Karachi via basic health units. Fathers aged 18 years and older with a DSM-5 diagnosis of major depressive episode and a child younger than 30 months were recruited. Of 1582 fathers approached, 1527 were screened and 357 were randomized in a 1:1 ratio to either the intervention or treatment as usual; 328 were included in the final analysis. Data were analyzed from April to June 2022.</p><p><strong>Interventions: </strong>LTP + Dads is a manualized intervention combining parenting skills training, play therapy, and cognitive behavior therapy. The intervention was delivered by community health workers via 12 group sessions over 4 months.</p><p><strong>Main outcomes and measures: </strong>The primary outcome was change in 17-item Hamilton Depression Rating Scale score at 4 months. Secondary outcomes included anxiety symptoms; parenting stress; intimate partner violence; functioning; quality of life; and child social, emotional, and physical health outcomes. Assessments were completed at baseline and 4 and 6 months postrandomization.</p><p><strong>Results: </strong>Of the 357 fathers included (mean [SD] age, 31.44 [7.24] years), 171 were randomized to the intervention and 186 to treatment as usual. Participants randomized to the intervention demonstrated significantly greater improvements in depression (group difference ratio [GDR], 0.66; 95% CI, 0.47 to 0.91; P < .001), anxiety (GDR, 0.62; 95% CI, 0.48 to 0.81; P < .001), parenting stress (GDR, -12.5; 95% CI, -19.1 to -6.0; P < .001), intimate partner violence (GDR, 0.89; 95% CI, 0.80 to 1.00; P = .05), disability (GDR, 0.77; 95% CI, 0.61 to 0.97; P = .03), and health-related quality of life (GDR, 12.7; 95% CI, 0.17 to 0.34; P < .001) at 4 months. The difference in depression and parenting stress was sustained at 6 months. Children of fathers randomized to the parenting intervention had significantly greater improvements in social-emotional development scores (mean difference, -20.8; 95% CI, -28.8 to -12.9; P < .001) at 6 months.</p><p><strong>Conclusions and relevance: </strong>The psychosocial parenting intervention in this study has the potential to improve paternal mental health and child development in Pakistan. Further studies in other populations and with longer follow-up are warranted","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11447622/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142361542","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}
Pub Date : 2024-10-02DOI: 10.1001/jamapsychiatry.2024.2871
Artur Menegaz de Almeida, Francisco Cezar Aquino de Moraes, Maria Eduarda Cavalcanti Souza, Jorge Henrique Cavalcanti Orestes Cardoso, Fernanda Tamashiro, Celso Miranda, Lilianne Fernandes, Michele Kreuz, Francinny Alves Kelly
Importance: Seasonal humor disorders are prone to have a link with daylight exposure. However, the effect of external light on nonseasonal disorders remains unclear. Evidence is lacking for the validity of bright light therapy (BLT) as an adjunctive treatment for these patients.
Objective: To assess BLT effectiveness as an adjunctive treatment for nonseasonal depressive disorders.
Data sources: In March 2024, a comprehensive search was performed of publications in the MEDLINE, Embase, and Cochrane databases for randomized clinical trials (RCTs) evaluating BLT effects in patients with nonseasonal depression.
Study selection: RCTs published since 2000 were eligible. Comparisons between BLT and dim red light or antidepressant monotherapy alone were considered for inclusion.
Data extraction and synthesis: Using the systematic review approach on RCTs published from January 1, 2000, through March 25, 2024, differences between patients treated with and without BLT were estimated using the Mantel-Haenszel method; heterogeneity was assessed using I2 statistics.
Main outcomes and measures: Remission of symptoms, response to treatment rates, and depression scales were assessed.
Results: In this systematic review and meta-analysis of 11 unique trials with data from 858 patients (649 female [75.6%]), statistically significant better remission and response rates were found in the BLT group (remission: 40.7% vs 23.5%; odds ratio [OR], 2.42; 95% CI, 1.50-3.91; P <.001; I2 = 21%; response: 60.4% vs 38.6%; OR, 2.34; 95% CI, 1.46-3.75; P <.001; I2 = 41%). With BLT, subgroup analysis based on follow-up times also showed better remission (<4 weeks: 27.4% vs 9.2%; OR, 3.59; 95% CI, 1.45-8.88; P = .005; I2 = 0% and >4 weeks: 46.6% vs 29.1%; OR, 2.18; 95% CI, 1.19-4.00; P = .01; I2 = 47%) and response (<4 weeks: 55.6% vs 27.4%; OR, 3.65; 95% CI, 1.81-7.33; P <.001; I2 = 35% and >4 weeks: 63.0% vs 44.9%; OR, 1.79; 95% CI, 1.01-3.17; P = .04; I2 = 32%) rates.
Conclusions and relevance: Results of this systematic review and meta-analysis reveal that BLT was an effective adjunctive treatment for nonseasonal depressive disorders. Additionally, results suggest that BLT may improve the response time to the initial treatment.
{"title":"Bright Light Therapy for Nonseasonal Depressive Disorders: A Systematic Review and Meta-Analysis.","authors":"Artur Menegaz de Almeida, Francisco Cezar Aquino de Moraes, Maria Eduarda Cavalcanti Souza, Jorge Henrique Cavalcanti Orestes Cardoso, Fernanda Tamashiro, Celso Miranda, Lilianne Fernandes, Michele Kreuz, Francinny Alves Kelly","doi":"10.1001/jamapsychiatry.2024.2871","DOIUrl":"10.1001/jamapsychiatry.2024.2871","url":null,"abstract":"<p><strong>Importance: </strong>Seasonal humor disorders are prone to have a link with daylight exposure. However, the effect of external light on nonseasonal disorders remains unclear. Evidence is lacking for the validity of bright light therapy (BLT) as an adjunctive treatment for these patients.</p><p><strong>Objective: </strong>To assess BLT effectiveness as an adjunctive treatment for nonseasonal depressive disorders.</p><p><strong>Data sources: </strong>In March 2024, a comprehensive search was performed of publications in the MEDLINE, Embase, and Cochrane databases for randomized clinical trials (RCTs) evaluating BLT effects in patients with nonseasonal depression.</p><p><strong>Study selection: </strong>RCTs published since 2000 were eligible. Comparisons between BLT and dim red light or antidepressant monotherapy alone were considered for inclusion.</p><p><strong>Data extraction and synthesis: </strong>Using the systematic review approach on RCTs published from January 1, 2000, through March 25, 2024, differences between patients treated with and without BLT were estimated using the Mantel-Haenszel method; heterogeneity was assessed using I2 statistics.</p><p><strong>Main outcomes and measures: </strong>Remission of symptoms, response to treatment rates, and depression scales were assessed.</p><p><strong>Results: </strong>In this systematic review and meta-analysis of 11 unique trials with data from 858 patients (649 female [75.6%]), statistically significant better remission and response rates were found in the BLT group (remission: 40.7% vs 23.5%; odds ratio [OR], 2.42; 95% CI, 1.50-3.91; P <.001; I2 = 21%; response: 60.4% vs 38.6%; OR, 2.34; 95% CI, 1.46-3.75; P <.001; I2 = 41%). With BLT, subgroup analysis based on follow-up times also showed better remission (<4 weeks: 27.4% vs 9.2%; OR, 3.59; 95% CI, 1.45-8.88; P = .005; I2 = 0% and >4 weeks: 46.6% vs 29.1%; OR, 2.18; 95% CI, 1.19-4.00; P = .01; I2 = 47%) and response (<4 weeks: 55.6% vs 27.4%; OR, 3.65; 95% CI, 1.81-7.33; P <.001; I2 = 35% and >4 weeks: 63.0% vs 44.9%; OR, 1.79; 95% CI, 1.01-3.17; P = .04; I2 = 32%) rates.</p><p><strong>Conclusions and relevance: </strong>Results of this systematic review and meta-analysis reveal that BLT was an effective adjunctive treatment for nonseasonal depressive disorders. Additionally, results suggest that BLT may improve the response time to the initial treatment.</p>","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11447633/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142361543","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}
Pub Date : 2024-10-01DOI: 10.1001/jamapsychiatry.2024.2315
Kevin Y Xu, Sonya E Gabrielian, Tashalee R Brown
{"title":"Mental Health Diagnoses in People Experiencing Homelessness.","authors":"Kevin Y Xu, Sonya E Gabrielian, Tashalee R Brown","doi":"10.1001/jamapsychiatry.2024.2315","DOIUrl":"10.1001/jamapsychiatry.2024.2315","url":null,"abstract":"","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11446641/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141975680","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}
Pub Date : 2024-10-01DOI: 10.1001/jamapsychiatry.2024.2162
Robert A Kleinman, Brian S Barnett
{"title":"Smoking Cessation as a Priority for Psychiatrists.","authors":"Robert A Kleinman, Brian S Barnett","doi":"10.1001/jamapsychiatry.2024.2162","DOIUrl":"10.1001/jamapsychiatry.2024.2162","url":null,"abstract":"","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":null,"pages":null},"PeriodicalIF":22.5,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141855613","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：