Pub Date : 2026-02-27DOI: 10.1146/annurev-clinpsy-061724-084055
Eric A Youngstrom
Bipolar disorder is a recurrent, heterogeneous condition that often begins in adolescence and typically requires lifelong, multimodal management. Advances in evidence-based assessment (EBA) offer structured frameworks for prediction, prescription, and progress monitoring, and pharmacological and psychosocial interventions supported by recent reviews and the Canadian Network for Mood and Anxiety Treatments (CANMAT)/International Society for Bipolar Disorders (ISBD) guidelines provide effective options across phases of illness. Despite these advances, the impact of evidence-based approaches remains blunted in practice: Diagnosis is often delayed, pharmacotherapy is inconsistently prescribed or monitored, psychosocial interventions are underused, and relapse prevention strategies are rarely sustained. Therefore, the field must embed prediction, treatment, and monitoring within community treatment settings-primary care, schools, digital platforms, and family systems-where risk can be identified early, preventive strategies can be delivered, and long-term maintenance can be supported. Framing EBA as a dynamic, community-anchored cycle offers the best chance of translating evidence into improved outcomes, bridging the gap between research efficacy and real-world effectiveness in the care of bipolar disorder.
{"title":"Assessment and Treatment of Bipolar Disorder in the Community.","authors":"Eric A Youngstrom","doi":"10.1146/annurev-clinpsy-061724-084055","DOIUrl":"https://doi.org/10.1146/annurev-clinpsy-061724-084055","url":null,"abstract":"<p><p>Bipolar disorder is a recurrent, heterogeneous condition that often begins in adolescence and typically requires lifelong, multimodal management. Advances in evidence-based assessment (EBA) offer structured frameworks for prediction, prescription, and progress monitoring, and pharmacological and psychosocial interventions supported by recent reviews and the Canadian Network for Mood and Anxiety Treatments (CANMAT)/International Society for Bipolar Disorders (ISBD) guidelines provide effective options across phases of illness. Despite these advances, the impact of evidence-based approaches remains blunted in practice: Diagnosis is often delayed, pharmacotherapy is inconsistently prescribed or monitored, psychosocial interventions are underused, and relapse prevention strategies are rarely sustained. Therefore, the field must embed prediction, treatment, and monitoring within community treatment settings-primary care, schools, digital platforms, and family systems-where risk can be identified early, preventive strategies can be delivered, and long-term maintenance can be supported. Framing EBA as a dynamic, community-anchored cycle offers the best chance of translating evidence into improved outcomes, bridging the gap between research efficacy and real-world effectiveness in the care of bipolar disorder.</p>","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":" ","pages":""},"PeriodicalIF":16.5,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147319054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-12DOI: 10.1146/annurev-clinpsy-061724-080804
Catharine E Fairbairn, Dahyeon Kang, Jiaxu Han, Nigel Bosch
Clinical psychology is a discipline reliant on self-reports but uniquely susceptible to specific biases associated therewith. Here we provide a prototype for objective behavioral assessment drawn from the field of alcohol science, reviewing the research on an emerging class of wearable transdermal biosensor. We note the challenges of transdermal alcohol assessment and describe recent performance gains from updated devices and machine learning analytic tools. We indicate unanswered questions for transdermal technology, including device longevity and the accuracy of devices for producing fine-grained estimates of drinking quantity. We identify factors that can impede development of transdermal sensors and other new objective measures, including the tendency to judge new tools against an implicit ideal, and consider scientific findings divorced from methodology. Finally, in evaluating novel objective measurement tools, we argue for careful consideration of not only error magnitude but also error type (i.e., random versus systematic), and we identify measurement diversification as a priority for clinical psychology moving forward.
{"title":"Objective Assessment in Clinical Psychological Science: Progress in Wearable Alcohol Biosensors.","authors":"Catharine E Fairbairn, Dahyeon Kang, Jiaxu Han, Nigel Bosch","doi":"10.1146/annurev-clinpsy-061724-080804","DOIUrl":"10.1146/annurev-clinpsy-061724-080804","url":null,"abstract":"<p><p>Clinical psychology is a discipline reliant on self-reports but uniquely susceptible to specific biases associated therewith. Here we provide a prototype for objective behavioral assessment drawn from the field of alcohol science, reviewing the research on an emerging class of wearable transdermal biosensor. We note the challenges of transdermal alcohol assessment and describe recent performance gains from updated devices and machine learning analytic tools. We indicate unanswered questions for transdermal technology, including device longevity and the accuracy of devices for producing fine-grained estimates of drinking quantity. We identify factors that can impede development of transdermal sensors and other new objective measures, including the tendency to judge new tools against an implicit ideal, and consider scientific findings divorced from methodology. Finally, in evaluating novel objective measurement tools, we argue for careful consideration of not only error magnitude but also error type (i.e., random versus systematic), and we identify measurement diversification as a priority for clinical psychology moving forward.</p>","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":" ","pages":""},"PeriodicalIF":16.5,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146167250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-12DOI: 10.1146/annurev-clinpsy-061724-085912
Jennifer A Watt, Zahinoor Ismail, Natasha Lane, Dallas Seitz, Zahra Goodarzi
Mounting evidence supports the efficacy of nonpharmacologic or psychosocial interventions for reducing behavioral and psychological symptoms of dementia (BPSD), identifies the comparative risks and benefits of psychotropic medication, and underscores the importance of deprescribing psychotropic medications. However, evidence from clinical settings indicates that uptake of nonpharmacologic interventions and potential overuse of medications remain problematic. We begin by discussing the importance of exploring potential contributors to BPSD, using person-centered language to describe BPSD, implementing holistic and person-centered care plans, measuring clinically important changes in BPSD, and considering social determinants of health when assessing and managing BPSD; we also discuss the historical context informing how clinicians manage BPSD. Next, we compare and contrast nonpharmacologic and pharmacologic approaches to managing BPSD, evaluate their individual and comparative efficacy, and describe recommendations for intervention deprescribing or deimplementation. Lastly, we discuss strengths and limitations of the current evidence supporting BPSD management as well as recommendations for future research.
{"title":"Management of Behavioral and Psychological Symptoms of Dementia: Nonpharmacologic and Pharmacologic Interventions.","authors":"Jennifer A Watt, Zahinoor Ismail, Natasha Lane, Dallas Seitz, Zahra Goodarzi","doi":"10.1146/annurev-clinpsy-061724-085912","DOIUrl":"https://doi.org/10.1146/annurev-clinpsy-061724-085912","url":null,"abstract":"<p><p>Mounting evidence supports the efficacy of nonpharmacologic or psychosocial interventions for reducing behavioral and psychological symptoms of dementia (BPSD), identifies the comparative risks and benefits of psychotropic medication, and underscores the importance of deprescribing psychotropic medications. However, evidence from clinical settings indicates that uptake of nonpharmacologic interventions and potential overuse of medications remain problematic. We begin by discussing the importance of exploring potential contributors to BPSD, using person-centered language to describe BPSD, implementing holistic and person-centered care plans, measuring clinically important changes in BPSD, and considering social determinants of health when assessing and managing BPSD; we also discuss the historical context informing how clinicians manage BPSD. Next, we compare and contrast nonpharmacologic and pharmacologic approaches to managing BPSD, evaluate their individual and comparative efficacy, and describe recommendations for intervention deprescribing or deimplementation. Lastly, we discuss strengths and limitations of the current evidence supporting BPSD management as well as recommendations for future research.</p>","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":" ","pages":""},"PeriodicalIF":16.5,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146167233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1146/annurev-clinpsy-061724-091000
Seth D. Pollak, Karen E. Smith
Early life adversity is associated with many negative health, behavioral, and cognitive outcomes. However, the causal mechanisms underlying these associations remain obscure, making it difficult to design targeted interventions for individuals most at risk. Current approaches focus almost exclusively on event exposures, but given that data using these approaches have been inconsistent, there is a need for new models for characterizing adversity. We propose the Topological Approach to Adversity and Development, which, rather than focusing on the types of events children encounter, prioritizes understanding how children perceive, interpret, and make meaning of their circumstances. A focus on the developmental dimensions that contribute to how individuals interpret and learn to respond to potentially challenging life circumstances could renew and advance mechanistic accounts of childhood adversity. Such an approach has implications for the basic science of human stress responding as well as practical implications for improvements to individual well-being and health.
{"title":"Conceptual and Methodological Issues in Studying Early Adversity and Development","authors":"Seth D. Pollak, Karen E. Smith","doi":"10.1146/annurev-clinpsy-061724-091000","DOIUrl":"https://doi.org/10.1146/annurev-clinpsy-061724-091000","url":null,"abstract":"Early life adversity is associated with many negative health, behavioral, and cognitive outcomes. However, the causal mechanisms underlying these associations remain obscure, making it difficult to design targeted interventions for individuals most at risk. Current approaches focus almost exclusively on event exposures, but given that data using these approaches have been inconsistent, there is a need for new models for characterizing adversity. We propose the Topological Approach to Adversity and Development, which, rather than focusing on the types of events children encounter, prioritizes understanding how children perceive, interpret, and make meaning of their circumstances. A focus on the developmental dimensions that contribute to how individuals interpret and learn to respond to potentially challenging life circumstances could renew and advance mechanistic accounts of childhood adversity. Such an approach has implications for the basic science of human stress responding as well as practical implications for improvements to individual well-being and health.","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":"186 1","pages":""},"PeriodicalIF":18.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1146/annurev-clinpsy-061324-072853
Johan Bjureberg
Emotion regulation is a multifaceted process essential to mental health. This review synthesizes established theoretical models within an integrative framework of emotion regulation that links individual regulatory abilities with the dynamic processes through which emotions are modulated. It outlines how these abilities develop through the interplay of biological predispositions and environmental factors, learning processes, and beliefs about emotion and highlights how regulatory abilities and process-level dynamics interact within a feedback-sensitive system. Repeated failures in this system, in turn, can contribute to psychopathology and behavioral problems. The review then examines how psychological interventions—from traditional cognitive and behavioral therapies to approaches that explicitly target emotion regulation—engage with these components. Special attention is given to emerging digital interventions. Findings on emotion regulation as a potential treatment mechanism are reviewed; these findings indicate that improvements in regulatory ability and reductions in maladaptive strategies frequently mediate treatment outcomes. The review concludes by identifying conceptual and methodological challenges and outlining future directions.
{"title":"The Role of Emotion Regulation in Clinical Interventions","authors":"Johan Bjureberg","doi":"10.1146/annurev-clinpsy-061324-072853","DOIUrl":"https://doi.org/10.1146/annurev-clinpsy-061324-072853","url":null,"abstract":"Emotion regulation is a multifaceted process essential to mental health. This review synthesizes established theoretical models within an integrative framework of emotion regulation that links individual regulatory abilities with the dynamic processes through which emotions are modulated. It outlines how these abilities develop through the interplay of biological predispositions and environmental factors, learning processes, and beliefs about emotion and highlights how regulatory abilities and process-level dynamics interact within a feedback-sensitive system. Repeated failures in this system, in turn, can contribute to psychopathology and behavioral problems. The review then examines how psychological interventions—from traditional cognitive and behavioral therapies to approaches that explicitly target emotion regulation—engage with these components. Special attention is given to emerging digital interventions. Findings on emotion regulation as a potential treatment mechanism are reviewed; these findings indicate that improvements in regulatory ability and reductions in maladaptive strategies frequently mediate treatment outcomes. The review concludes by identifying conceptual and methodological challenges and outlining future directions.","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":"21 1","pages":""},"PeriodicalIF":18.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1146/annurev-clinpsy-061724-075336
Christina S. Soma, Patty B. Kuo, Maitrey Mehta, Vivek Srikumar, Zac E. Imel, David C. Atkins
Mental health disorders are some of the greatest contributors to the global disease burden, and healthcare systems are struggling to provide scalable care of high quality. Artificial intelligence (AI)-based tools and applications are some of the most significant technological advances in the mental healthcare field. Researchers have spent decades to build, evaluate, and refine AI models to conduct tasks such as identifying the treatment intervention and rating the quality of treatment. These models have been utilized to monitor treatment quality, enhance training, support clinical documentation, and supplement client treatment support. However, significant limitations include the potential for algorithmic biases and ethical concerns regarding patient data privacy. While AI shows promise in addressing the mental health workforce shortage and improving the quality of care, successful implementation requires thoughtful integration. This review examines research in which AI as a complement to, not replacement for, human providers in mental health treatment.
{"title":"Artificial Intelligence to Support Human-Provided Mental Health Treatment","authors":"Christina S. Soma, Patty B. Kuo, Maitrey Mehta, Vivek Srikumar, Zac E. Imel, David C. Atkins","doi":"10.1146/annurev-clinpsy-061724-075336","DOIUrl":"https://doi.org/10.1146/annurev-clinpsy-061724-075336","url":null,"abstract":"Mental health disorders are some of the greatest contributors to the global disease burden, and healthcare systems are struggling to provide scalable care of high quality. Artificial intelligence (AI)-based tools and applications are some of the most significant technological advances in the mental healthcare field. Researchers have spent decades to build, evaluate, and refine AI models to conduct tasks such as identifying the treatment intervention and rating the quality of treatment. These models have been utilized to monitor treatment quality, enhance training, support clinical documentation, and supplement client treatment support. However, significant limitations include the potential for algorithmic biases and ethical concerns regarding patient data privacy. While AI shows promise in addressing the mental health workforce shortage and improving the quality of care, successful implementation requires thoughtful integration. This review examines research in which AI as a complement to, not replacement for, human providers in mental health treatment.","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":"14 1","pages":""},"PeriodicalIF":18.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1146/annurev-clinpsy-061724-080138
Chaewon Lee, Kathleen M. Gates
Psychological processes are highly heterogeneous, even among individuals with the same diagnosis. This variability poses challenges for nomothetic approaches that assume everyone is guided by the same broad psychological principles. In contrast, idiographic approaches focus on within-person variability but are often prone to noise and spurious relations and may not translate easily to clinical use due to limited generalizability. These constraints have motivated integrative approaches designed to model person-specific dynamics while still drawing on patterns that generalize across people. In this article, we review group iterative multiple model estimation (GIMME), one of the most widely used integrative approaches for modeling intensive longitudinal data (ILD) in clinical research. GIMME estimates person-specific dynamics using majority-shared paths as the backbone of individual models. We begin by introducing GIMME's core algorithm and its major extensions. We then review simulation studies evaluating its performance, survey empirical applications in clinical psychology, and outline alternative ILD methods. Finally, we discuss current limitations of GIMME and propose directions for its continued refinement.
{"title":"Group Iterative Multiple Model Estimation Approaches in Clinical Science","authors":"Chaewon Lee, Kathleen M. Gates","doi":"10.1146/annurev-clinpsy-061724-080138","DOIUrl":"https://doi.org/10.1146/annurev-clinpsy-061724-080138","url":null,"abstract":"Psychological processes are highly heterogeneous, even among individuals with the same diagnosis. This variability poses challenges for nomothetic approaches that assume everyone is guided by the same broad psychological principles. In contrast, idiographic approaches focus on within-person variability but are often prone to noise and spurious relations and may not translate easily to clinical use due to limited generalizability. These constraints have motivated integrative approaches designed to model person-specific dynamics while still drawing on patterns that generalize across people. In this article, we review group iterative multiple model estimation (GIMME), one of the most widely used integrative approaches for modeling intensive longitudinal data (ILD) in clinical research. GIMME estimates person-specific dynamics using majority-shared paths as the backbone of individual models. We begin by introducing GIMME's core algorithm and its major extensions. We then review simulation studies evaluating its performance, survey empirical applications in clinical psychology, and outline alternative ILD methods. Finally, we discuss current limitations of GIMME and propose directions for its continued refinement.","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":"246 1","pages":""},"PeriodicalIF":18.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-05DOI: 10.1146/annurev-clinpsy-061724-083756
Allison Stumper, Katja M Schmalenberger, Tory A Eisenlohr-Moul, Jessica R Peters
Hormone sensitivity is a heterogeneous phenomenon involving multiple dimensions of sensitivity to estrogen and progesterone fluctuations across the menstrual cycle. While the majority of menstruating individuals do not experience any significant impact from these hormone changes on mood or behavior, rates of hormone sensitivity in clinical populations, particularly affective disorders, are substantially elevated, suggesting potential shared psychosocial or physiological mechanisms or moderators of risk. In this review, we provide an overview of menstrually related mood disorders and dimensions of hormone sensitivity across the cycle contributing to these presentations. We discuss how hormone sensitivity during the menstrual cycle corresponds with affective problems during other reproductive life events (puberty, perimenopause, pregnancy/postpartum) and review the evidence for environmental, neurobiological, and cognitive/affective factors associated with hormone sensitivity. Methodological considerations and directions for further research are highlighted throughout.
{"title":"Affective Sensitivity to Ovarian Steroid Hormone Flux Across the Menstrual Cycle: Manifestations and Biopsychosocial Risk Factors.","authors":"Allison Stumper, Katja M Schmalenberger, Tory A Eisenlohr-Moul, Jessica R Peters","doi":"10.1146/annurev-clinpsy-061724-083756","DOIUrl":"10.1146/annurev-clinpsy-061724-083756","url":null,"abstract":"<p><p>Hormone sensitivity is a heterogeneous phenomenon involving multiple dimensions of sensitivity to estrogen and progesterone fluctuations across the menstrual cycle. While the majority of menstruating individuals do not experience any significant impact from these hormone changes on mood or behavior, rates of hormone sensitivity in clinical populations, particularly affective disorders, are substantially elevated, suggesting potential shared psychosocial or physiological mechanisms or moderators of risk. In this review, we provide an overview of menstrually related mood disorders and dimensions of hormone sensitivity across the cycle contributing to these presentations. We discuss how hormone sensitivity during the menstrual cycle corresponds with affective problems during other reproductive life events (puberty, perimenopause, pregnancy/postpartum) and review the evidence for environmental, neurobiological, and cognitive/affective factors associated with hormone sensitivity. Methodological considerations and directions for further research are highlighted throughout.</p>","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":" ","pages":""},"PeriodicalIF":16.5,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-05DOI: 10.1146/annurev-clinpsy-081423-020516
Christopher Pittenger
This review provides an overview of biological processes that contribute to obsessive-compulsive disorder (OCD). It encourages nonreductionist integration of biological findings with psychological and social constructs. OCD runs in families; studies are beginning to identify genetic variants that contribute to risk, though these findings are not yet clinically actionable. A robust body of neuroimaging research implicates hyperactivity in certain brain circuits in the pathophysiology of OCD, which often normalizes following successful treatment. The efficacy of serotonin reuptake inhibitors is well-established; however, evidence does not support a simple serotonin deficit model. The role of the neurotransmitter glutamate in pathophysiology and treatment is under investigation. Emerging research is exploring the contributions of immune system dysregulation and of hormones to pathophysiology. Pharmacological treatment strategies are reviewed, as are anatomically targeted interventions for refractory cases. Future treatments will likely synergistically deploy somatic and psychotherapeutic interventions, leveraging biological tools to enhance mechanisms of psychological change.
{"title":"Biological Mechanisms and Treatment of Obsessive-Compulsive Disorder.","authors":"Christopher Pittenger","doi":"10.1146/annurev-clinpsy-081423-020516","DOIUrl":"https://doi.org/10.1146/annurev-clinpsy-081423-020516","url":null,"abstract":"<p><p>This review provides an overview of biological processes that contribute to obsessive-compulsive disorder (OCD). It encourages nonreductionist integration of biological findings with psychological and social constructs. OCD runs in families; studies are beginning to identify genetic variants that contribute to risk, though these findings are not yet clinically actionable. A robust body of neuroimaging research implicates hyperactivity in certain brain circuits in the pathophysiology of OCD, which often normalizes following successful treatment. The efficacy of serotonin reuptake inhibitors is well-established; however, evidence does not support a simple serotonin deficit model. The role of the neurotransmitter glutamate in pathophysiology and treatment is under investigation. Emerging research is exploring the contributions of immune system dysregulation and of hormones to pathophysiology. Pharmacological treatment strategies are reviewed, as are anatomically targeted interventions for refractory cases. Future treatments will likely synergistically deploy somatic and psychotherapeutic interventions, leveraging biological tools to enhance mechanisms of psychological change.</p>","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":" ","pages":""},"PeriodicalIF":16.5,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1146/annurev-clinpsy-081423-032154
María P Aranda, David Camacho, Jiaming Liang, Yuri Jang
Adults who provide care to family members living with dementia experience substantial impacts to their well-being. Dementia family caregivers are the backbone of health and long-term care services in the United States, yet they typically do not access evidence-based caregiver interventions. This is especially the case for racial and ethnic minoritized populations, who experience higher rates of dementia yet lower access to diagnostic and specialty care services and evidence-based interventions. This review appraises the peer-reviewed literature on randomized clinical trials to test the effectiveness of caregiver interventions, the extent of cultural adaptations, and their impact on psychological outcomes, including mastery. We find that few evidence-based interventions incorporate cultural and linguistic adaptations, and when they do, most fall short of following formal adaptation frameworks and documenting treatment effects on psychological outcomes by racial and ethnic group. Research must address these shortcomings to increase the equitable distribution of caregiver interventions for all Americans.
{"title":"Dementia Caregiving Among Diverse Minoritized Racial and Ethnic Groups in the United States: A Critical Review of Cultural Adaptations of Nonpharmacological Caregiving Intervention Trials.","authors":"María P Aranda, David Camacho, Jiaming Liang, Yuri Jang","doi":"10.1146/annurev-clinpsy-081423-032154","DOIUrl":"https://doi.org/10.1146/annurev-clinpsy-081423-032154","url":null,"abstract":"<p><p>Adults who provide care to family members living with dementia experience substantial impacts to their well-being. Dementia family caregivers are the backbone of health and long-term care services in the United States, yet they typically do not access evidence-based caregiver interventions. This is especially the case for racial and ethnic minoritized populations, who experience higher rates of dementia yet lower access to diagnostic and specialty care services and evidence-based interventions. This review appraises the peer-reviewed literature on randomized clinical trials to test the effectiveness of caregiver interventions, the extent of cultural adaptations, and their impact on psychological outcomes, including mastery. We find that few evidence-based interventions incorporate cultural and linguistic adaptations, and when they do, most fall short of following formal adaptation frameworks and documenting treatment effects on psychological outcomes by racial and ethnic group. Research must address these shortcomings to increase the equitable distribution of caregiver interventions for all Americans.</p>","PeriodicalId":50755,"journal":{"name":"Annual Review of Clinical Psychology","volume":" ","pages":""},"PeriodicalIF":16.5,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}