Cannabis-Related Problems and Social Anxiety: The Mediational Role of Post-Event Processing

Post-event rumination and social anxiety: a systematic review and meta-analysis

Post-event rumination, the extent to which one engages in persistent, detailed, and negative thinking following social situations, serves as a risk process in the pathophysiology of social anxiety. Although a substantial body of research has assessed post-event rumination and social anxiety, this literature has produced inconsistent results. We conducted a systematic review and meta-analysis to examine whether the magnitude of the association between post-event rumination and social anxiety varied as a function of questionnaire and/or task utilized. We included all studies reporting a correlation between post-event rumination and social anxiety symptomatology. Fisher's z correlation coefficients were calculated through random-effect meta-analyses. Results indicated a moderate association between post-event rumination and social anxiety symptomatology (r = 0.45, p < 0.001, 95%CI [0.40-0.50]). Subgroup meta-analyses indicated that the type of questionnaire used to assess post-event rumination (Q = 44.36, df = 3, p < 0.001) and social anxiety (Q = 26.44, df = 8, p < 0.001), as well as the task conducted prior to assessing post-event rumination (Q = 14.31, df = 2, p < 0.001), influenced the effect size. This study demonstrates a moderate relation between post-event rumination and social anxiety across the anxiety spectrum, illustrating the importance of treatments specifically targeting post-event rumination. Moreover, we highlight the importance of taking care when designing studies to explore relations between post-event rumination and social anxiety.

Cannabis use and social anxiety disorder in emerging adulthood: Results from a nationally representative sample

Cannabis use and social anxiety disorder (SAD) are prevalent during emerging adulthood. Previous work has demonstrated that SAD is related to cannabis use in adults; however, less is known about what correlates relate to this association in emerging adults. A subsample of individuals ages 18-25 years old from the NESARC-III (N = 5194) was used to (a) evaluate the association between cannabis use and SAD and (b) examine what correlates may be associated with cannabis use and SAD in emerging adulthood. Weighted cross-tabulations assessed sociodemographics and lifetime psychiatric disorder prevalence estimates among the emerging adult sample. Multinomial logistic regressions examined associations between sociodemographics and psychiatric disorders and four groups (i.e., no cannabis use or SAD; cannabis use only; SAD only; cannabis use + SAD). The prevalence of co-occurring cannabis use and SAD was 1.10%. Being White, a part-time student, or not a student were associated with increased odds of having co-occurring cannabis use + SAD (OR range: 2.26-3.09). Significant associations also emerged between major depressive disorder, bipolar I disorder, generalized anxiety disorder, specific phobia, agoraphobia, and panic disorder and co-occurring cannabis use + SAD (AOR range: 3.03-19.05). Results of this study may have implications for better identifying and screening emerging adults who are at risk of co-occurring cannabis use and SAD.

Perturbation of 3D nuclear architecture, epigenomic aging and dysregulation, and cannabinoid synaptopathy reconfigures conceptualization of cannabinoid pathophysiology: part 2-Metabolome, immunome, synaptome

The second part of this paper builds upon and expands the epigenomic-aging perspective presented in Part 1 to describe the metabolomic and immunomic bases of the epigenomic-aging changes and then considers in some detail the application of these insights to neurotoxicity, neuronal epigenotoxicity, and synaptopathy. Cannabinoids are well-known to have bidirectional immunomodulatory activities on numerous parts of the immune system. Immune perturbations are well-known to impact the aging process, the epigenome, and intermediate metabolism. Cannabinoids also impact metabolism via many pathways. Metabolism directly impacts immune, genetic, and epigenetic processes. Synaptic activity, synaptic pruning, and, thus, the sculpting of neural circuits are based upon metabolic, immune, and epigenomic networks at the synapse, around the synapse, and in the cell body. Many neuropsychiatric disorders including depression, anxiety, schizophrenia, bipolar affective disorder, and autistic spectrum disorder have been linked with cannabis. Therefore, it is important to consider these features and their complex interrelationships in reaching a comprehensive understanding of cannabinoid dependence. Together these findings indicate that cannabinoid perturbations of the immunome and metabolome are important to consider alongside the well-recognized genomic and epigenomic perturbations and it is important to understand their interdependence and interconnectedness in reaching a comprehensive appreciation of the true nature of cannabinoid pathophysiology. For these reasons, a comprehensive appreciation of cannabinoid pathophysiology necessitates a coordinated multiomics investigation of cannabinoid genome-epigenome-transcriptome-metabolome-immunome, chromatin conformation, and 3D nuclear architecture which therefore form the proper mechanistic underpinning for major new and concerning epidemiological findings relating to cannabis exposure.

Perturbation of 3D nuclear architecture, epigenomic dysregulation and aging, and cannabinoid synaptopathy reconfigures conceptualization of cannabinoid pathophysiology: part 1-aging and epigenomics

Much recent attention has been directed toward the spatial organization of the cell nucleus and the manner in which three-dimensional topologically associated domains and transcription factories are epigenetically coordinated to precisely bring enhancers into close proximity with promoters to control gene expression. Twenty lines of evidence robustly implicate cannabinoid exposure with accelerated organismal and cellular aging. Aging has recently been shown to be caused by increased DNA breaks. These breaks rearrange and maldistribute the epigenomic machinery to weaken and reverse cellular differentiation, cause genome-wide DNA demethylation, reduce gene transcription, and lead to the inhibition of developmental pathways, which contribute to the progressive loss of function and chronic immune stimulation that characterize cellular aging. Both cell lineage-defining superenhancers and the superanchors that control them are weakened. Cannabis exposure phenocopies the elements of this process and reproduces DNA and chromatin breakages, reduces the DNA, RNA protein and histone synthesis, interferes with the epigenomic machinery controlling both DNA and histone modifications, induces general DNA hypomethylation, and epigenomically disrupts both the critical boundary elements and the cohesin motors that create chromatin loops. This pattern of widespread interference with developmental programs and relative cellular dedifferentiation (which is pro-oncogenic) is reinforced by cannabinoid impairment of intermediate metabolism (which locks in the stem cell-like hyper-replicative state) and cannabinoid immune stimulation (which perpetuates and increases aging and senescence programs, DNA damage, DNA hypomethylation, genomic instability, and oncogenesis), which together account for the diverse pattern of teratologic and carcinogenic outcomes reported in recent large epidemiologic studies in Europe, the USA, and elsewhere. It also accounts for the prominent aging phenotype observed clinically in long-term cannabis use disorder and the 20 characteristics of aging that it manifests. Increasing daily cannabis use, increasing use in pregnancy, and exponential dose-response effects heighten the epidemiologic and clinical urgency of these findings. Together, these findings indicate that cannabinoid genotoxicity and epigenotoxicity are prominent features of cannabis dependence and strongly indicate coordinated multiomics investigations of cannabinoid genome-epigenome-transcriptome-metabolome, chromatin conformation, and 3D nuclear architecture. Considering the well-established exponential dose-response relationships, the diversity of cannabinoids, and the multigenerational nature of the implications, great caution is warranted in community cannabinoid penetration.

Understanding the Dimensions of Post-Event Processing: Applying a Bifactor Modeling Approach to the EPEPQ-15

Social anxiety disorder is maintained in part by rumination about past social experiences, known as post-event processing. The Extended Post-Event Processing Questionnaire (EPEPQ-15) assesses post-event processing as three correlated factors. Competing against this structure is a bifactor model that has not yet been evaluated for the EPEPQ-15. These models were tested for the conventional state version of the EPEPQ-15 and a new trait version in two separate samples (Ns = 327 and 351). In both samples, the fit of the bifactor model was better than that of correlated factor models. Moreover, the results did not support the group factors, indicating that a unidimensional interpretation of the EPEPQ-15 is most appropriate. The general dimension of the EPEPQ-15 was highly correlated with social interaction anxiety, beliefs related to social anxiety, anticipatory processing, and safety behaviors. These results overall suggest post-event processing is best conceptualized as a unitary construct.

Clinical Epigenomic Explanation of the Epidemiology of Cannabinoid Genotoxicity Manifesting as Transgenerational Teratogenesis, Cancerogenesis and Aging Acceleration

As global interest in the therapeutic potential of cannabis and its' derivatives for the management of selected diseases increases, it is increasingly imperative that the toxic profile of cannabinoids be thoroughly understood in order to correctly assess the balance between the therapeutic risks and benefits. Modern studies across a number of jurisdictions, including Canada, Australia, the US and Europe have confirmed that some of the most worrying and severe historical reports of both congenital anomalies and cancer induction following cannabis exposure actually underestimate the multisystem thousand megabase-scale transgenerational genetic damage. These findings from teratogenic and carcinogenic literature are supported by recent data showing the accelerated patterns of chronic disease and the advanced DNA methylation epigenomic clock age in cannabis exposed patients. Together, the increased multisystem carcinogenesis, teratogenesis and accelerated aging point strongly to cannabinoid-related genotoxicity being much more clinically significant than it is widely supposed and, thus, of very considerable public health and multigenerational impact. Recently reported longitudinal epigenome-wide association studies elegantly explain many of these observed effects with considerable methodological sophistication, including multiple pathways for the inhibition of the normal chromosomal segregation and DNA repair, the inhibition of the basic epigenetic machinery for DNA methylation and the demethylation and telomerase acceleration of the epigenomic promoter hypermethylation characterizing aging. For cancer, 810 hits were also noted. The types of malignancy which were observed have all been documented epidemiologically. Detailed epigenomic explications of the brain, heart, face, uronephrological, gastrointestinal and limb development were provided, which amply explained the observed teratological patterns, including the inhibition of the key morphogenic gradients. Hence, these major epigenomic insights constituted a powerful new series of arguments which advanced both our understanding of the downstream sequalae of multisystem multigenerational cannabinoid genotoxicity and also, since mechanisms are key to the causal argument, inveighed strongly in favor of the causal nature of the relationship. In this introductory conceptual overview, we present the various aspects of this novel synthetic paradigmatic framework. Such concepts suggest and, indeed, indicate numerous fields for further investigation and basic science research to advance the exploration of many important issues in biology, clinical medicine and population health. Given this, it is imperative we correctly appraise the risk-benefit ratio for each potential cannabis application, considering the potency, severity of disease, stage of human development and duration of use.

The mediating effect of anger rumination, coping and conformity motives on the association between hostility and problematic cannabis use

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The role of anger rumination on cannabis use was examined for the first time.

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Indirect effects were tested between hostility and cannabis use problems.

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Single-mediation pathways were shown via anger rumination, and coping motives.

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Double mediation pathways were shown via anger rumination and coping-, and conformity motives.

Background

Anger rumination is consistently associated with maladaptive psychopathological outcomes. However, there is a lack of research on the association between problematic cannabis use, cannabis use motives and anger rumination. Coping motives showed positive relationships with negative affectivity and emotion dysregulation, thus it might be possible that coping motives can mediate the effects of hostility and anger rumination on problematic cannabis use.

Aims

The goal of the present study was to examine the mediating role of anger rumination and cannabis use motives on the relationship between hostility and problematic cannabis use.

Methods

The cross-sectional study used a convenience sample of 764 past year cannabis users with a risk for problematic cannabis use (Males: 70.42% [N = 538], Age: M = 29.24 [SD = 7.55]). Standardized and online questionnaires measured problematic use and motives of cannabis use, anger rumination and hostility.

Results

Structural equation modelling was used to test the proposed mediation model. Four significant indirect effects were identified in the mediation model. The positive effect of hostility on cannabis use problems was mediated (i) via coping motives, (ii) via anger rumination, (iii) via anger rumination and coping motives, and (iv) via anger rumination and conformity motives.

Conclusions

The present study was the first that examined the construct of anger rumination in the context of cannabis use. Possible risk mechanisms via anger rumination and cannabis use motives with negative reinforcement were suggested in the context of problematic cannabis use. Self-medication tendencies and emotion dysregulation processes might explain these pathways.

Cannabis use and social anxiety in young adulthood: A meta-analysis

Young adulthood (ages 18 to 30 years old), a developmental age of exploration, is marked by new experiences and transitions. Cannabis use frequency is highest in young adulthood compared to other age periods. Social anxiety (characterized by fear, shyness, and inhibition in social situations where scrutiny and judgment is possible) is also prevalent during young adulthood. Social anxiety may be a complex predictor of cannabis use frequency and problems (e.g., any negative physical, emotional, or social outcome from use). Social anxiety may act as a risk factor as individuals may use cannabis frequently to manage their fear of negative evaluation and associated unpleasant affective states. The purpose of this meta-analysis was to quantify the magnitude of the associations between social anxiety and two cannabis variables (frequency of use and problems) in young adulthood. A comprehensive literature review was conducted to identify studies that included measures of social anxiety and at least one cannabis-related variable of interest among young adults. Eighteen studies were included in the meta-analysis. Results revealed a small, statistically significant positive association between social anxiety and cannabis problems (r = 0.197, k = 16, p = <0.001), and a nonsignificant association between social anxiety and cannabis use frequency (r = 0.002, k = 16, p = 0.929). The association between social anxiety and cannabis use frequency was moderated by the mean age such that samples with older mean ages exhibited a stronger correlation. Additionally, the association between social anxiety and cannabis problems was moderated by clinically significant levels of social anxiety, such that samples with fewer participants who met clinical levels of social anxiety exhibit a stronger correlation. This meta-analysis supports the idea that there is a complex relation between social anxiety and cannabis outcomes during young adulthood.

A Scoping Review of Associations Between Cannabis Use and Anxiety in Adolescents and Young Adults

Cannabis and anxiety are both rising issues that impact young people. This review seeks to explore the association between anxiety and cannabis in adolescents and young adults (AYA). A database search was run retrospectively from July 2020 through calendar year 2013. Articles had to present outcomes examining cannabis use and symptoms of anxiety, be written in English, contain samples with ≥ 50% who are age 25 or younger, and be published in a peer-reviewed journal. Forty-seven studies were identified that examined the relationship between anxiety and cannabis use. Twenty-three studies found a positive association that greater anxiety among AYA was associated with greater cannabis use. In contrast, seven studies found a negative association that greater anxiety was related to less cannabis use. And finally, 17 studies found no clear association between anxiety and cannabis use. Further research is needed to better understand the relationship between anxiety and cannabis use.

Repetitive negative thinking, metacognitive beliefs, and their interaction as possible predictors for problematic cannabis use

The metacognitive formulation of addictive behaviours considers repetitive negative thinking (RNT) and metacognitive beliefs as two important processes involved in the development and maintenance of addictive behaviours. To date, very limited research has investigated the implication of these processes in problematic cannabis use. The present study was aimed at exploring the association between RNT, metacognitive beliefs, and cannabis use in a sample of 157 problematic cannabis users. Participants were administered measures of cannabis use severity, RNT, metacognitive beliefs, anxiety, and depression. Multiple regression analysis showed that metacognitive beliefs (cognitive confidence, beliefs about the need to control thought, and cognitive self-consciousness) were independent predictors of problematic cannabis use and related problem severity when controlling for RNT and negative affect (anxiety and depression). Furthermore, RNT predicted problematic cannabis use severity only for users with low levels of negative beliefs about thoughts concerning uncontrollability and danger. These data suggest that metacognitive beliefs and RNT may be two relevant cognitive processes for understanding problematic cannabis use. More generally, it enables the consideration of cannabis use from the perspective of self-regulation theories, and more specifically cognitive regulation, thus offering several theoretical and clinical implications.

Biopsychosocial Model Social Anxiety and Substance Use Revised

PURPOSE OF REVIEW

To review data published in the past 5 years to evaluate the utility of our biopsychosocial model of social anxiety's relation to substance misuse to evaluate the model's utility and update it.

RECENT FINDINGS

Data support the utility of our revised model-e.g., socially anxious persons report using substances to manage subjective anxiety, despite evidence that some substances may not have a direct effect on physiological responding. Other factors with promise include social influence, cognitive processes (e.g., post-event processing), and avoidance. Data highlight the importance of context as socially anxious persons use some substances more in some high-risk situations, despite lack of relation between social anxiety and use generally. Sociocultural factors remain understudied. This updated model is a theory- and data-driven model of the relations between social anxiety and substance misuse that can inform future work to improve substance-related outcomes among this especially vulnerable group.

Co-occurrence across time and space of drug- and cannabinoid- exposure and adverse mental health outcomes in the National Survey of Drug Use and Health: combined geotemporospatial and causal inference analysis

BACKGROUND

Whilst many studies have linked increased drug and cannabis exposure to adverse mental health (MH) outcomes their effects on whole populations and geotemporospatial relationships are not well understood.

METHODS

Ecological cohort study of National Survey of Drug Use and Health (NSDUH) geographically-linked substate-shapefiles 2010-2012 and 2014-2016 supplemented by five-year US American Community Survey. Drugs: cigarettes, alcohol abuse, last-month cannabis use and last-year cocaine use. MH: any mental illness, major depressive illness, serious mental illness and suicidal thinking.

DATA ANALYSIS

two-stage, geotemporospatial, robust generalized linear regression and causal inference methods in R.

RESULTS

410,138 NSDUH respondents. Average response rate 76.7%. When drug and sociodemographic variables were combined in geospatial models significant terms including tobacco, alcohol, cannabis exposure and various ethnicities remained in final models for all four major mental health outcomes. Interactive terms including cannabis were related to any mental illness (β-estimate = 1.97 (95%C.I. 1.56-2.37), P <  2.2 × 10^- 16), major depressive episode (β-estimate = 2.03 (1.54-2.52), P = 3.6 × 10^- 16), serious mental illness (SMI, β-estimate = 2.04 (1.48-2.60), P = 1.0 × 10^- 12), suicidal ideation (β-estimate = 1.99 (1.52-2.47), P <  2.2 × 10^- 16) and in each case cannabis alone was significantly associated (from β-estimate = - 3.43 (- 4.46 - -2.42), P = 3.4 × 10^- 11) with adverse MH outcomes on complex interactive regression surfaces. Geospatial modelling showed a monotonic upward trajectory of SMI which doubled (3.62 to 7.06%) as cannabis use increased. Extrapolated to whole populations cannabis decriminalization (4.26%, (4.18, 4.34%)), Prevalence Ratio (PR) = 1.035(1.034-1.036), attributable fraction in the exposed (AFE) = 3.28%(3.18-3.37%), P < 10^- 300) and legalization (4.75% (4.65, 4.84%), PR = 1.155 (1.153-1.158), AFE = 12.91% (12.72-13.10%), P < 10^- 300) were associated with increased SMI vs. illegal status (4.26, (4.18-4.33%)).

CONCLUSIONS

Data show all four indices of mental ill-health track cannabis exposure across space and time and are robust to multivariable adjustment for ethnicity, socioeconomics and other drug use. MH deteriorated with cannabis legalization. Cannabis use-MH data are consistent with causal relationships in the forward direction and include dose-response and temporal-sequential relationships. Together with similar international reports and numerous mechanistic studies preventative action to reduce cannabis use is indicated.

Depressive symptoms, ruminative thinking, marijuana use motives, and marijuana outcomes: A multiple mediation model among college students in five countries

BACKGROUND

Previous studies have evidenced that rumination and drinking motives may mediate the association between depressive symptoms and alcohol outcomes. The present study cross-culturally examined whether a similar mediation model may extend to marijuana. Specifically, we tested distinct rumination facets (problem-focused thoughts, counterfactual thinking, repetitive thoughts, and anticipatory thoughts) and marijuana use motives (social, coping, expansion, conformity, enhancement) as double-mediators of the paths from depressive symptoms to marijuana outcomes (use and consequences).

METHOD

A comprehensive mediation path model was tested in a cross-sectional sample of college student marijuana users (n = 1175) from five countries (U.S., Argentina, Uruguay, Spain, Netherlands). Multi-group models were tested to determine if the proposed mediational model was invariant across sex and different cultures/countries.

RESULTS

Depressive symptoms and marijuana outcomes were indirectly associated through ruminative thinking and marijuana motives. Specifically, higher depressive symptoms were associated with higher problem-focused thoughts; which in turn were associated with: a) higher endorsement of coping motives which in turn was associated with higher marijuana use and related consequences and b) lower endorsement of enhancement motives which in turn was associated with lower marijuana use and related consequences. The multi-group analyses showed that the model was invariant across sex and the five countries.

CONCLUSIONS

The present research supports the existence of a universal (i.e., cross-national invariant) negative affect regulation pathway to marijuana use/misuse similar to those previously found with alcohol. Additional research is needed to confirm the role of enhancement motives in the associations of depression, rumination and marijuana outcomes.

A meta-analytic investigation of the associations between cannabis use and cannabis-related negative consequences

In the current climate of policy change regarding cannabis (i.e., decriminalization, medicalization, and legalization), various stakeholders have a strong interest in determining the associations between cannabis use and important outcomes. The present study sought to quantify the association between indicators of cannabis use and the experience of cannabis-related negative consequences. We found 19 unique studies that examined the associations between cannabis use and negative consequences as measured by 1 of 4 measures: the Marijuana Problems Scale, the Rutgers Marijuana Problem Index, the Cannabis Problems Questionnaire, or the Marijuana Consequences Questionnaire. We used random effects meta-analytic techniques to estimate the average strength of association between cannabis use and negative consequences, determine the level of heterogeneity in effect sizes, and examine possible moderators of these associations (measure of consequences, gender/sex distribution). We found that cannabis use had a medium-sized association with consequences, rw = .367, with high levels of heterogeneity that depended to some extent on the specific consequence measure used. Similar to a meta-analytic integration of the alcohol use-consequences association, we found that most of the variance in cannabis-related negative consequences was not explained by any single indicator of cannabis use, pointing to the fact that additional factors need to be examined to explain the experience of negative consequences from cannabis use and that additional indicators of cannabis use may be needed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).