344 research outputs found

    Cannabis Use Disorder

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    Extensive changes in cannabis regulation accompany changing public attitudes toward cannabis use and legalization. Cannabis use is more prevalent when the drug is legal; therefore, there is a substantial need for an evidence-based understanding of the risks associated with cannabinoids. The current chapter reviews the definition of CUD, its prevalence and associated conditions, and the contemporary understanding of its causes to inform policy, prevention efforts, and treatment of CUD in a dynamic and evolving legislative landscape. Studies are currently limited by an absence of standardized methods to characterize cannabis consumption levels as well as compound composition. Understanding the harms associated with cannabis use and CUD will be fundamental in informing policy and supporting clinicians

    Does knowledge brokering facilitate evidence-based policy? A review of existing knowledge and an agenda for future research

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    The claim that evidence-based policy (EBP) produces better outcomes has gained increasing support over the last three decades. Knowledge brokering (KB) is seen as a way to achieve improved policymaking and governments worldwide are investing significant resources in KB initiatives. It is therefore important to understand the range of these activities and to investigate whether and how they facilitate EBP. This article critically reviews the extant literature on KB. It identifies six important limitations: the existence of multiple definitions of KB; a lack of theory-based empirical analysis; a neglect of knowledge brokering organisations; insufficient research on KB in social policy; limited analysis of impact and effectiveness; and a lack of attention to the role played by politics. The paper proposes an agenda for future research that bridges disciplinary boundaries in order to address these gaps and contribute new insights into the politics of evidence use

    Do policy actors have different views of what constitutes evidence in policymaking?

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    The role played by evidence in policymaking is hotly disputed and there is no agreement over how evidence is defined. This article examines whether policy actors have different views of what counts as evidence and which factors influence these perceptions (for example, professional background, length of service, organisation setting, cultures of evidence)? In addressing this question, we contribute to the growing research focus on the context of evidence use. Q methodology – a mixed method approach to study people’s attitudes towards a topic – is used in interviewing 67 policy actors and comparing two countries, Scotland and Wales, to find out whether there are different cultures of evidence. In both countries, we identified four distinct profiles of attitudes towards evidence: the evidence-based policymaking (EBPM) Idealist, the Pragmatist, the Inclusive, and the Political. Our research highlights important differences between the two contexts, with a greater leaning towards EBPM views of evidence in Wales, and more pragmatism in defining evidence in Scotland. We illustrate how different cultures of evidence coexist in a same context and highlight their similarities and differences. We also contribute to the understanding of the value of Q methodology research by showing that it can be used to compare two datasets collected in different countries

    What counts as evidence for policy? An analysis of policy actors' perceptions

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    Evidence plays a growing role in public administration worldwide. We analyze the perceptions of policy actors, using Q methodology and a structured questionnaire, which reveals four types of profiles. Most policy actors did not fit neatly into an Evidence‐Based Policy‐Making (EBPM) group. Instead, they either had a pragmatic view where context and policy issues influence what counts as evidence, an inclusive position which emphasized the importance of considering a range of different types of evidence, or a political perspective where power relations and politics influence what counts as evidence. Our research also illustrates how different actors in the same community can have different perceptions of evidence, and how this can change over time due to experience and career trajectory

    Knowledge brokering organisations: A new way of governing evidence

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    Background: Government-funded knowledge brokering organisations (KBOs) are an increasingly prevalent yet under-researched area. Working in the space between knowledge and policy, yet framing themselves as different from think tanks and academic research centres, these organisations broker evidence into policy. Aims and objectives: This article examines how three organisations on different continents develop similar narratives and strategies to attempt to inform policymaking and build legitimacy. Methods: Using documentary analysis and semi-structured interviews, it shows how the organisations construct their credibility and legitimacy, and make sense of their emergence, activities and relationships with policymakers. Findings: The study responds to the lack of political focus on many existing studies, examining how KBOs make sense of their origins and roles, articulating notions of evidence, and mobilising different types of legitimacies to do so. The research also addresses an empirical gap surrounding the emergence and activities of KBOs (not individuals), analysing organisations on three different continents. Discussion and conclusions: KBOs developed similar narratives of origins and functions, despite emerging in different contexts. Furthermore, they build their legitimacy/ies in similar ways. Our research improves our understanding of how a new ‘tool’ in the evidence-informed policymaking (EIPM) arsenal – KBOs – is being mobilised by different governments in similar ways

    Longitudinal characterization of impulsivity phenotypes boosts signal for genomic correlates and heritability

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    Genomic correlates of impulsivity have been identified in several genome-wide association studies (GWAS) using cross-sectional designs, but no studies have investigated the molecular genetic correlates of impulsivity phenotypes using longitudinally constructed traits. In 3860 unrelated European participants in the Avon Longitudinal Study of Parents and Children (ALSPAC), we constructed longitudinal phenotypes for delay discounting and impulsive personality traits (as measured by the UPPS-P impulsive behavior scales) via assessment at ages 24, 26, and 28. We conducted GWASs of impulsivity using both cross-sectional and longitudinal phenotypes, estimated heritability and their phenotypic and genetic correlations, and evaluated their association with recently-developed polygenic risk scores (PRSs) for the impulsivity indicators themselves and also related psychiatric conditions. Latent growth curve modeling revealed a stable intercept over time for all impulsivity phenotypes. High genetic correlation of cross-sectional measures over time suggested a stable genetic component for delay discounting (r g  = 0.53-0.99) and sensation seeking (r g  = 0.99). Heritability estimates of the stable longitudinal phenotypes substantively improved as compared to their cross-sectional counterparts, revealing a significant SNP-heritability for delay discounting (0.22; p = 0.03) and sensation seeking (0.35; p = 0.0007). Consistent with previous reports, GWAS and gene-based analyses revealed associations between specific longitudinal impulsivity indicators and CADM2 and NCAM1 genes. The PRSs for the impulsivity indicators and disorders related to self-regulation were also significantly associated with longitudinal impulsivity traits. Finally, we validated the associations between longitudinal impulsivity phenotypes and their PRSs in an independent 13-wave longitudinal study (n = 1019) and the benefit of longitudinal phenotypes in simulation studies. In this first longitudinal genetic study of impulsivity traits, the results revealed stable genomic correlates of delay discounting and sensation seeking over time and further validated the utility of recently-developed PRSs, both in relation to the observed traits and in connecting them to psychiatric disorders. More generally, these findings support using latent intercepts as novel longitudinal phenotypes to boost signal for heritability and genomic correlates of mechanisms contributing to psychiatric disease liability. </p

    Intracortical myelin in individuals with alcohol use disorder: An initial proof-of-concept study

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    Introduction Disruption of cortical gray matter and white matter tracts are well-established markers of alcohol use disorder (AUD), but less is known about whether similar differences are present in intracortical myelin (ICM, i.e., highly myelinated gray matter in deeper cortical layers). The goal of this study was to provide initial proof-of-concept for using an optimized structural magnetic resonance imaging (MRI) sequence to detect differences in ICM in individuals with AUD compared to control participants reporting drinking within recommended guidelines. Methods This study used an optimized 3T MRI sequence for high intracortical contrast to examine ICM-related MRI signal in 30 individuals with AUD and 33 healthy social drinkers. Surface-based analytic techniques were used to quantify ICM-related MRI signal in 20 bilateral a priori regions of interest based on prior cortical thickness studies, and exploratory vertex-wise analyses were examined using Cohen's d effect size. Results The global distribution of ICM-related signal was largely comparable between groups. Region of interest analysis indicated that AUD group exhibited greater ICM-related MRI signal in precuneus, ventromedial prefrontal cortex, posterior cingulate, middle anterior cingulate, middle/posterior insula, and dorsolateral prefrontal cortex (Cohen's ds = 0.50–0.75). Four regions (right precuneus, ventromedial prefrontal cortex, posterior cingulate and left dorsolateral prefrontal cortex) remained significant (p < .05) after covarying for smoking status. Conclusion These findings provide initial evidence of ICM differences in a moderately sized sample of individuals with AUD compared to controls, although the inflation of type 1 error rate necessitates caution in drawing conclusions. Robustly establishing these differences in larger samples is necessary. The cross-sectional design cannot address whether the observed differences predate AUD or are consequences of heavy alcohol consumption
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