Government-mandated warnings on cannabis legally sold for recreational use

Background: Frequent cannabis use can pose risks to health and safety. Multiple governments have legalized the sale of cannabis for recreational use and mandated health and safety warnings for recreational cannabis packages or signs at sales locations. The purposes of this study were to identify common themes across warnings and to compare the actual warnings with those previously recommended by cannabis experts and cannabis users.Methods: We searched Google and Google Scholar for online lists of governments that allow or will soon allow the sale of cannabis for recreational use. Using the online lists we found, we searched for laws mandating the warnings, using the search terms “mandated warnings for recreational use marijuana” in addition to the name of the jurisdiction under review. We evaluated the content of the warnings and compared them with warnings recommended by cannabis experts and by users of recreational cannabis.Results: Each search led to millions of results. Within the top results of each of the searches there were website links to official legislative websites, databases and documents of the jurisdiction under review. We used these official documents. The search revealed that 11 U.S. states and two countries allow the recreational use of cannabis and that 10 U.S. states and Canada mandate warnings on legally sold recreational cannabis. The mandated warnings can be categorized as focusing on one of nine risks: (1) negative health effects on the user, (2) harm to children or fetuses, (3) risks related to driving or operating machinery, (4) risks of habit formation leading to over-use, (5) risks relating to over-use on a single occasion, especially with regard to edible cannabis, (6) developmental risks for young people, (7) harm caused by secondary smoke, (8) risks of effects lasting several hours, and (9) risks specific to using cannabis topicals. The warnings include no graphic images and no phone number to call for help quitting.Conclusions: The warnings, as a group, parallel most warnings recommended by cannabis experts and a sample of recreational users of cannabis. The effects of the warnings are unknown, but prior research findings on warnings for cannabis and for other substances suggest potential for positive effects in raising awareness of risks and decreasing the risks. The warnings could be used in public health campaigns. Public health professionals may find it possible through research to help improve the warnings, either in presentation or in content. Cannabis researchers can use the list to identify additional risks suitable for inclusion in mandated warnings

Increasing Emotional Intelligence through Training: Current Status and Future Directions

Emotional intelligence consists of adaptive emotional functioning involving inter-related competencies relating to perception, understanding, utilising and managing emotions in the self and others. Researchers in diverse fields have studied emotional intelligence and found the construct to be associated with a variety of intrapersonal and interpersonal factors such as mental health, relationship satisfaction, and work performance. This article reviews research investigating the impact of training in emotional-intelligence skills. The results indicate that it is possible to increase emotional intelligence and that such training has the potential to lead to other positive outcomes. The paper offers suggestions about how future research, from diverse disciplines,can uncover what types of training most effectively increase emotional intelligence and produce related beneficial outcomes

Can psychological interventions increase optimism? A meta-analysis

Greater optimism is related to better mental and physical health. A number of studies have investigated interventions intended to increase optimism. The aim of this meta-analysis was to consolidate effect sizes found in randomized controlled intervention studies of optimism training and to identify factors that may influence the effect of interventions. Twenty-nine studies, with a total of 3319 participants, met criteria for inclusion in the analysis. A significant meta-analytic effect size, g = .41, indicated that, across studies, interventions increased optimism. Moderator analyses showed that studies had significantly higher effect sizes if they used the Best Possible Self intervention, provided the intervention in person, used an active control, used separate positive and negative expectancy measures rather than a version of the LOT-R, had a final assessment within one day of the end of the intervention, and used completer analyses rather than intention-to-treat analyses. The results indicate that psychological interventions can increase optimism and that various factors may influence effect size

Preliminary Experimental Evaluation of a Behavioral-Cognitive Method of Increasing Life Excitement

This randomized controlled trial with 113 adults evaluated the effects of a behavioral-cognitive method developed to increase life excitement. The intervention included encouraging participants to (1) do something new, (2) go somewhere new, (3) act spontaneously, (4) take on a new challenge, (5) learn something new, (6) interact with exciting individuals, (7) engage in romantically or sexually exciting behaviors, (8) read, watch, or listen to something suspenseful or stimulating, (9) take a (reasonable) risk, (10) engage in stimulating exercise or sport, (11) accomplish something new, (12) pursue their own interests, (13) talk with others about exciting experiences, (14) think about past exciting activities, or (15) plan future exciting activities. Participants reported level of excitement-aimed behavior, positive affect, and life satisfaction at pre-intervention and post-intervention. Experimental-group members also reported their outcome levels three months after the end of the intervention. At pre-intervention, excitement-aimed behavior was significantly associated with positive affect and life satisfaction. The intervention had significant between-groups effects on excitement-aimed behavior and positive affect. The experimental group maintained significant pre-post improvements on these variables through a three-month follow-up. The results provide initial support for a new method of increasing positive affect

Meta-analysis of associations between five-factor personality traits and problematic social media use

This meta-analysis quantified the relationship between the five-factor model of personality and problematic social media use and identified moderators of this relationship. The analysis used a random-effects model to calculate a correlation for each factor and included 113 samples, with a total of 53,913 participants, identified from systematic searches of four databases. Moderator analyses were used to investigate potential causes of heterogeneity. The meta-analysis found that high neuroticism (r=.21,

Beliefs around luck : confirming the empirical conceptualization of beliefs around luck and the development of the Darke and Freedman beliefs around luck scale

The current study developed a multi-dimensional measure of beliefs around luck. Two studies introduced the Darke and Freedman beliefs around luck scale where the scale showed a consistent 4 component model (beliefs in luck, rejection of luck, being lucky, and being unlucky) across two samples (n = 250; n = 145). The scales also show adequate reliability statistics and validity by ways of comparison with other measures of beliefs around luck, peer and family ratings and expected associations with measures of personality, individual difference and well-being variables

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis : a pilot project of the ENIGMA–DTI working group

The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze brain measures and genotypes from multiple sites across the world to improve the power to detect genetic variants that influence the brain. Diffusion tensor imaging (DTI) yields quantitative measures sensitive to brain development and degeneration, and some common genetic variants may be associated with white matter integrity or connectivity. DTI measures, such as the fractional anisotropy (FA) of water diffusion, may be useful for identifying genetic variants that influence brain microstructure. However, genome-wide association studies (GWAS) require large populations to obtain sufficient power to detect and replicate significant effects, motivating a multi-site consortium effort. As part of an ENIGMA–DTI working group, we analyzed high-resolution FA images from multiple imaging sites across North America, Australia, and Europe, to address the challenge of harmonizing imaging data collected at multiple sites. Four hundred images of healthy adults aged 18–85 from four sites were used to create a template and corresponding skeletonized FA image as a common reference space. Using twin and pedigree samples of different ethnicities, we used our common template to evaluate the heritability of tract-derived FA measures. We show that our template is reliable for integrating multiple datasets by combining results through meta-analysis and unifying the data through exploratory mega-analyses. Our results may help prioritize regions of the FA map that are consistently influenced by additive genetic factors for future genetic discovery studies. Protocols and templates are publicly available at (http://enigma.loni.ucla.edu/ongoing/dti-working-group/)

Patterns and associates of cognitive function, psychosocial wellbeing and health in the Lothian Birth Cohort 1936

BACKGROUND: Cognitive function, psychosocial wellbeing and health are important domains of function. Consistencies and inconsistencies in patterns of wellbeing across these domains may be informative about wellbeing in old age and the ways it is manifested amongst individuals. In this study we investigated whether there were groups of individuals with different profiles of scores across these domains. We also aimed to identify characteristics of any evident groups by comparing them on variables that were not used in identifying the groups. METHODS: The sample was the Lothian Birth Cohort 1936, which included 1091 participants born in 1936. They are a community-dwelling, narrow-age-range sample of 70-year-olds. Most had taken part in the Scottish Mental Survey 1947 at an average age of 11, making available a measure of childhood intelligence. We used latent class analysis (LCA) to explore possible profiles using 9 variables indicating cognitive functioning, psychosocial wellbeing and health status. Demographic, personality, and lifestyle variables – none of which were used in the LCA – were used to characterize the resulting profile groups. RESULTS: We accepted a 3-group solution, which we labeled High Wellbeing (65.3%), Low Cognition (20.3%), and Low Bio-Psychosocial (14.5%). Notably, the High Wellbeing group had significantly higher childhood IQ, lower Neuroticism scores, and a lower percentage of current smokers than the other 2 groups. CONCLUSION: The majority of individuals were functioning generally well; however, there was evidence of the presence of groups with different profiles, which may be explained in part in terms of cognitive ability differences. Results suggested that higher life-long intelligence, personality traits associated with less mental distress, and basic health practices such as avoiding smoking are important associates of wellbeing in old age

Do personality traits moderate the manifestation of type 2 diabetes genetic risk?

AbstractObjective. To test whether personality traits moderate type 2 diabetes (T2D) genetic risk. Methods. Using a large community-dwelling sample (n=837, Mage=69.59±0.85years, 49% males) we fitted a series of linear regression models predicting glycated haemoglobin (HbA1c) from T2D polygenic risk — aggregation of small individual effects of a large number of single nucleotide polymorphisms (SNPs) — and five personality traits. We tested the main effects of personality traits and their interactions with T2D polygenic risk score, controlling for age and sex. The models in the final set were adjusted for cognitive ability, highest educational qualification, and occupational class. Results. Lower levels of openness were associated with heightened levels of HbA1c (β=−0.014, p=.032). There was a significant interaction between T2D polygenic risk score and agreeableness: lower agreeableness was related to a stronger association between T2D polygenic risk and HbA1c (β=−0.08, p=.021). In the model adjusted for cognitive ability, the main effect of openness was not significant (β=−0.08, p=.057). The interaction between agreeableness and T2D polygenic risk was still present after controlling for cognitive ability and socioeconomic status indicators, and the interaction between conscientiousness and polygenic risk score was also significant: lower conscientiousness was associated with a stronger association between T2D polygenic risk and HbA1c levels (β=0.09, p=.04). Conclusions. Personality may be associated with markers of diabetes, and may moderate the expression of its genetic risk

Giving Psychology Away Through the Internet

George Miller, in his famous 1969 speech as the president of the American Psychological Association, suggested that psychologists to do that (Andersson & Carlbring, 2003) - for instance, by creating a public service Web site that gives guidance to individuals about how to prevent or overcome a psychological problem. How does one go about creating such a Web site? In this article I will describe the approach I used to create several public service Web sites for problems ranging from bereavement (Malouff, 2005) to child obesity (Malouff & Schutte, 2005). Altogether, the sites receive about 70,000 hits a year, with my two most visited sites in dealing with strategies for solving problems (Malouff, 2002) and methods of helping young children overcome shyness (Malouff, 2004)