Journal: Annual review of clinical psychology
Rapidly emerging evidence continues to describe an intimate and causal relationship between sleep and emotional brain function. These findings are mirrored by long-standing clinical observations demonstrating that nearly all mood and anxiety disorders co-occur with one or more sleep abnormalities. This review aims to (a) provide a synthesis of recent findings describing the emotional brain and behavioral benefits triggered by sleep, and conversely, the detrimental impairments following a lack of sleep; (b) outline a proposed framework in which sleep, and specifically rapid-eye movement (REM) sleep, supports a process of affective brain homeostasis, optimally preparing the organism for next-day social and emotional functioning; and © describe how this hypothesized framework can explain the prevalent relationships between sleep and psychiatric disorders, with a particular focus on posttraumatic stress disorder and major depression. Expected final online publication date for the Annual Review of Clinical Psychology Volume 10 is March 20, 2014. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.
Over the past two decades, research examining the impact of self-reported experiences of discrimination on mental and physical health has increased dramatically. Studies have found consistent associations between exposure to discrimination and a wide range of Diagnostic and Statistical Manual of Mental Disorders (DSM)-diagnosed mental disorders as well as objective physical health outcomes. Associations are seen in cross-sectional as well as longitudinal studies and persist even after adjustment for confounding variables, including personality characteristics and other threats to validity. However, controversies remain, particularly around the best approach to measuring experiences of discrimination, the significance of racial/ethnic discrimination versus overall mistreatment, the need to account for “intersectionalities”, and the importance of comprehensive assessments. These issues are discussed in detail, along with emerging areas of emphasis including cyber discrimination, anticipatory stress or vigilance around discrimination, and interventions with potential to reduce the negative effects of discrimination on health. We also discuss priorities for future research and implications for interventions and policy. Expected final online publication date for the Annual Review of Clinical Psychology Volume 11 is March 28, 2015. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.
Postpartum depression (PPD) is a common and serious mental health problem that is associated with maternal suffering and numerous negative consequences for offspring. The first six months after delivery may represent a high-risk time for depression. Estimates of prevalence range from 13% to 19%. Risk factors mirror those typically found with major depression, with the exception of postpartum-specific factors such as sensitivity to hormone changes. Controlled trials of psychological interventions have validated a variety of individual and group interventions. Medication often leads to depression improvement, but in controlled trials there are often no significant differences in outcomes between patients in the medication condition and those in placebo or active control conditions. Reviews converge on recommendations for particular antidepressant medications for use while breastfeeding. Prevention of PPD appears to be feasible and effective. Finally, there is a growing movement to integrate mental health screening into routine primary care for pregnant and postpartum women and to follow up this screening with treatment or referral and with follow-up care. Research and clinical recommendations are made throughout this review. Expected final online publication date for the Annual Review of Clinical Psychology Volume 9 is March 26, 2013. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.
Today’s lesbian, gay, bisexual, and transgender (LGBT) youth come out at younger ages, and public support for LGBT issues has dramatically increased, so why do LGBT youth continue to be at high risk for compromised mental health? We provide an overview of the contemporary context for LGBT youth, followed by a review of current science on LGBT youth mental health. Research in the past decade has identified risk and protective factors for mental health, which point to promising directions for prevention, intervention, and treatment. Legal and policy successes have set the stage for advances in programs and practices that may foster LGBT youth mental health. Implications for clinical care are discussed, and important areas for new research and practice are identified. Expected final online publication date for the Annual Review of Clinical Psychology Volume 12 is March 28, 2016. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.
Empirically supported psychological therapies have been developed for many mental health conditions. However, in most countries only a small proportion of the public benefit from these advances. The English Improving Access to Psychological Therapies (IAPT) program aims to bridge the gap between research and practice by training over 10,500 new psychological therapists in empirically supported treatments and deploying them in new services for the treatment of depression and anxiety disorders. Currently IAPT treats over 560,000 patients per year, obtains clinical outcome data on 98.5% of these individuals, and places this information in the public domain. Around 50% of patients treated in IAPT services recover, and two-thirds show worthwhile benefits. The clinical and economic arguments on which IAPT is based are presented, along with details of the service model, how the program was implemented, and recent findings about service organization. Limitations and future directions are outlined. Expected final online publication date for the Annual Review of Clinical Psychology Volume 14 is May 7, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Postpartum depression (PPD) adversely affects the health and well being of many new mothers, their infants, and their families. A comprehensive understanding of biopsychosocial precursors to PPD is needed to solidify the current evidence base for best practices in translation. We conducted a systematic review of research published from 2000 through 2013 on biological and psychosocial factors associated with PPD and postpartum depressive symptoms. Two hundred fourteen publications based on 199 investigations of 151,651 women in the first postpartum year met inclusion criteria. The biological and psychosocial literatures are largely distinct, and few studies provide integrative analyses. The strongest PPD risk predictors among biological processes are hypothalamic-pituitary-adrenal dysregulation, inflammatory processes, and genetic vulnerabilities. Among psychosocial factors, the strongest predictors are severe life events, some forms of chronic strain, relationship quality, and support from partner and mother. Fully integrated biopsychosocial investigations with large samples are needed to advance our knowledge of PPD etiology.
A comprehensive understanding of psychosis requires models that link multiple levels of explanation: the neurobiological, the cognitive, the subjective, and the social. Until we can bridge several explanatory gaps, it is difficult to explain how neurobiological perturbations can manifest in bizarre beliefs or hallucinations, nor how trauma or social adversity can perturb lower-level brain processes. We propose that the predictive processing framework has much to offer in this respect.Weshow how this framework may underpin and complement source monitoring theories of delusions and hallucinations and how, when considered in terms of a dynamic and hierarchical system, it may provide a compelling model of several key clinical features of psychosis. We see little conflict between source monitoring theories and predictive coding. The former act as a higher-level description of a set of capacities, and the latter aims to provide a deeper account of how these and other capacities may emerge. Expected final online publication date for the Annual Review of Clinical Psychology Volume 13 is May 7, 2017. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Experimental research on emotional memory reconsolidation interference, or the induction of amnesia for previously established emotional memory, has a long tradition, but the potential of that research for the development of novel interventions to treat psychological disorders has been recognized only recently. Here we provide an overview of basic research and clinical studies on emotional memory reconsolidation interference. We point out specific advantages of interventions based on memory reconsolidation interference over traditional treatment for emotional disorders. We also explain how findings from basic research suggest limitations and challenges to clinical translation that may help to understand why clinical trials have met with mixed success so far and how their success can be increased. In closing, we preview new intervention approaches beyond the induction of amnesia that the phenomenon of memory reconsolidation may afford for alleviating the burden imposed by emotional memories and comment on theoretical controversies regarding the nature of memory reconsolidation. Expected final online publication date for the Annual Review of Clinical Psychology Volume 13 is May 7, 2017. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital traces. Personal sensing refers to collecting and analyzing data from sensors embedded in the context of daily life with the aim of identifying human behaviors, thoughts, feelings, and traits. This article provides a critical review of personal sensing research related to mental health, focused principally on smartphones, but also including studies of wearables, social media, and computers. We provide a layered, hierarchical model for translating raw sensor data into markers of behaviors and states related to mental health. Also discussed are research methods as well as challenges, including privacy and problems of dimensionality. Although personal sensing is still in its infancy, it holds great promise as a method for conducting mental health research and as a clinical tool for monitoring at-risk populations and providing the foundation for the next generation of mobile health (or mHealth) interventions.
State-level marijuana liberalization policies have been evolving for the past five decades, and yet the overall scientific evidence of the impact of these policies is widely believed to be inconclusive. In this review we summarize some of the key limitations of the studies evaluating the effects of decriminalization and medical marijuana laws on marijuana use, highlighting their inconsistencies in terms of the heterogeneity of policies, the timing of the evaluations, and the measures of use being considered. We suggest that the heterogeneity in the responsiveness of different populations to particular laws is important for interpreting the mixed findings from the literature, and we highlight the limitations of the existing literature in providing clear insights into the probable effects of marijuana legalization.