Evaluation of the DSM-5 Internet Gaming Disorder Measures: A COSMIN Systematic Review and Meta-Analysis

Due to the rising concern of problem video gaming, the DSM-5 has suggested including Internet Gaming Disorder (IGD) as a possible new behavioral addiction and proposed nine criteria to assess IGD. In response, a number of measurement instruments have been developed based on the DSM-5 IGD criteria. This presentation will discuss results from a systematic review that evaluated psychometric properties of these measures. Systematic search identified 22 measures. Meta-analysis revealed that 3.1% of the general population and 6.4% of video gamers had IGD. The estimated prevalence rates largely varied across different measures. Although many measures demonstrated satisfactory structural and construct validities, these measures accounted for an average \u3c 50% of the variance of the items. This suggests that measures do not fully operationalize the DSM-5 criteria and other symptoms should be considered. Measurement invariance and test-retest reliability were established for \u3c 50% of these measures. Diagnostic performance were only examined for two measures using data from clinical structured interviews. While much more work is needed to accurately conceptualize and measure IGD, the present review indicates that the Internet Gaming Disorder Scale – Short Form is the most optimal DSM-5 measure of IGD currently available. Implications: This work is conducted in response to the call for rigorous research on Internet gaming disorder (IGD). Findings have important implications for implementing uniform, psychometrically sound measures that accurately conceptualize, assess, and identify IGD in both research and clinical settings

The Nuance of Mindfulness among Gamblers and Video Game Players: Empirical Findings from Latent Profile Analysis and Links to Intervention for Problem Gambling and Problem Video Gaming

Abstract: This presentation reviews two studies that investigate different profiles of gamblers and video gamers across five facets of mindfulness and nonattachment using latent profile analyses. Study 1 identified four profiles among 843 adults who gamble (59.9% male, Mage=39 years): High, Moderate and Low Mindfulness, as well as a Judgmentally Unaware profile, characterized by low levels of nonjudging and acting with awareness. Gamblers with the Judgmentally Unware profile demonstrated more frequent gambling, stronger gambling motivations and gambling-related cognitions, more severe problem gambling, and poorer mental health compared to other profiles. Study 2 identified a different four-profile model among 629 adults who play video games (62.8% male, Mage=38 years): High and Moderate Mindfulness, Judgmentally Unware profile, and Reactive and Attached profile, characterized by high non-reacting and low nonattachment. Video gamers with the Judgmentally Unware profile evidenced the most severe problem gaming, followed by the Reactive and Attached profile. The Judgmentally Unware profile reported stronger gaming motivations and higher emotion-based impulsivity; in contrast, the Reactive and Attached profile demonstrated greater psychological inflexibility and escapism motivation relative to the other profiles. Implications of mindfulness profiles as risk and protective factors will be discussed in light of reducing harm for both gambling and video gaming. Implications: Findings suggest a variety of ways in which gamblers and video gamers might be mindful. Given the overlap between gambling and gaming and the Judgmentally Unaware profile, mindfulness-based harm reduction intervention could be particularly useful for addressing problem gambling/video gaming and decreasing future harms from these activities

The X-Ray Variable Sky as Seen by MAXI: The Future of Dust-echo Tomography with Bright Galactic X-Ray Bursts

Bright, short duration X-ray flares from accreting compact objects produce thin, dust scattering rings that enable dust-echo tomography: high-precision distance measurements and mapping of the line-of-sight distribution of dust. This work looks to the past activity of X-ray transient outbursts in order to predict the number of sight lines available for dust-echo tomography. We search for and measure the properties of 3σ significant flares in the 2-4 keV light curves of all objects available in the public MAXI archive. We derive a fluence sensitivity limit of 10-3 erg cm-2 for the techniques used to analyze the light curves. This limits the study mainly to flares from Galactic X-ray sources. We obtain the number density of flares and estimate the total fluence of the corresponding dust echoes. However, the sharpness of a dust-echo ring depends on the duration of a flare relative to quiescence. We select flares that are shorter than their corresponding quiescent period to calculate a number density distribution for dust-echo rings as a function of fluence. The results are fit with a power law of slope -2.3 ± 0.1. Extrapolating this to dimmer flares, we estimate that the next generation of X-ray telescopes will be 30 times more sensitive than current observatories, resulting in 10-30 dust ring echoes per year. The new telescopes will also be 10-100 times more sensitive than Chandra to dust ring echoes from the intergalactic medium

The X-Ray Variable Sky as Seen by MAXI: The Future of Dust-echo Tomography with Bright Galactic X-Ray Bursts

Bright, short duration X-ray flares from accreting compact objects produce thin, dust scattering rings that enable dust-echo tomography: high-precision distance measurements and mapping of the line-of-sight distribution of dust. This work looks to the past activity of X-ray transient outbursts in order to predict the number of sight lines available for dust-echo tomography. We search for and measure the properties of 3σ significant flares in the 2–4 keV light curves of all objects available in the public MAXI archive. We derive a fluence sensitivity limit of 10−3 erg cm−2 for the techniques used to analyze the light curves. This limits the study mainly to flares from Galactic X-ray sources. We obtain the number density of flares and estimate the total fluence of the corresponding dust echoes. However, the sharpness of a dust-echo ring depends on the duration of a flare relative to quiescence. We select flares that are shorter than their corresponding quiescent period to calculate a number density distribution for dust-echo rings as a function of fluence. The results are fit with a power law of slope −2.3 ± 0.1. Extrapolating this to dimmer flares, we estimate that the next generation of X-ray telescopes will be 30 times more sensitive than current observatories, resulting in 10–30 dust ring echoes per year. The new telescopes will also be 10–100 times more sensitive than Chandra to dust ring echoes from the intergalactic medium

clusterBMA: Bayesian model averaging for clustering

Various methods have been developed to combine inference across multiple sets of results for unsupervised clustering, within the ensemble clustering literature. The approach of reporting results from one `best' model out of several candidate clustering models generally ignores the uncertainty that arises from model selection, and results in inferences that are sensitive to the particular model and parameters chosen. Bayesian model averaging (BMA) is a popular approach for combining results across multiple models that offers some attractive benefits in this setting, including probabilistic interpretation of the combined cluster structure and quantification of model-based uncertainty. In this work we introduce clusterBMA, a method that enables weighted model averaging across results from multiple unsupervised clustering algorithms. We use clustering internal validation criteria to develop an approximation of the posterior model probability, used for weighting the results from each model. From a consensus matrix representing a weighted average of the clustering solutions across models, we apply symmetric simplex matrix factorisation to calculate final probabilistic cluster allocations. In addition to outperforming other ensemble clustering methods on simulated data, clusterBMA offers unique features including probabilistic allocation to averaged clusters, combining allocation probabilities from 'hard' and 'soft' clustering algorithms, and measuring model-based uncertainty in averaged cluster allocation. This method is implemented in an accompanying R package of the same name

Introduction to Special Issue - In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-2 Beijing)

Abstract. The Atmospheric Pollution and Human Health in a Chinese Megacity (APHH-Beijing) programme is an international collaborative project focusing on understanding the sources, processes and health effects of air pollution in the Beijing megacity. APHH-Beijing brings together leading China and UK research groups, state-of-the-art infrastructure and air quality models to work on four research themes: (1) sources and emissions of air pollutants; (2) atmospheric processes affecting urban air pollution; (3) air pollution exposure and health impacts; and (4) interventions and solutions. Themes 1 and 2 are closely integrated and support Theme 3, while Themes 1-3 provide scientific data for Theme 4 to develop cost-effective air pollution mitigation solutions. This paper provides an introduction to (i) the rationale of the APHH-Beijing programme, and (ii) the measurement and modelling activities performed as part of it. In addition, this paper introduces the meteorology and air quality conditions during two joint intensive field campaigns - a core integration activity in APHH-Beijing. The coordinated campaigns provided observations of the atmospheric chemistry and physics at two sites: (i) the Institute of Atmospheric Physics in central Beijing, and (ii) Pinggu in rural Beijing during 10 November – 10 December 2016 (winter) and 21 May- 22 June 2017 (summer). The campaigns were complemented by numerical modelling and automatic air quality and low-cost sensor observations in the Beijing megacity. In summary, the paper provides background information on the APHH-Beijing programme, and sets the scene for more focussed papers addressing specific aspects, processes and effects of air pollution in Beijing

The gut microbiota and cardiovascular health benefits: a focus on wholegrain oats

Existing scientific data suggest that a high intake of wholegrain foods contributes to improved gut health and a reduced risk of cardiovascular disease. Wholegrain oats are rich in dietary fibre and an important source of many bioactive components, including minerals, vitamins and phenolic compounds. The oat β‐glucans have been reported to lower low‐density lipoprotein cholesterol through their ability to increase the viscosity of intestinal chime, change the gut microbiota composition and increase the production of short‐chain fatty acids, which may contribute to the inhibition of hepatic cholesterol synthesis. Oats are also a rich source of phenolic acids, which are predominantly bound to cell wall polysaccharides through ester bonds. This bound state within oats means that phenolic acid bioavailability will largely be determined by interactions with the colonic microbiota in the large intestine. However, results from in vitro, animal and human studies have been inconsistent in relation to the impact of oats on the gut microbiota, possibly due to differences in experimental techniques and because compounds in oats, other than β‐glucans, have not been considered. This review focuses on the interaction of oat β‐glucans and phenolic acids with gut microbiota, and the subsequent link to cardiovascular health

Serving the same interests: The Wood Green ricin plot, media–state–terror relations and the ‘terrorism’ dispositif

This article analyses the representations of terrorism that arise out of the BBC’s coverage of the Wood Green ricin plot (2003), the first instance of al-Qaeda-related activity in the United Kingdom during the “war on terror”. Inspired by the work Michel Foucault, the article suggests that the BBC’s representations form part of an emergent “terrorism” dispositif, or apparatus, which draws together seemingly disparate and antagonistic groups into a strategic, mutually-sustaining alliance. The analysis focuses on two weeks’ worth of BBC “News at Ten” bulletins, alongside speeches and press releases issued by the Prime Minister and statements released by al-Qaeda’s leadership. In particular, the article suggests that the BBC’s representations inadvertently work to the advantage of elements within al-Qaeda and the British executive due to the fact that they portray the Wood Green events in ways that are tactically useful to both groups. As such, the article not only provides substantive new empirical insights into the way representations of terrorism were mobilised in the build up to the 2003 invasion of Iraq, but also shows how Foucauldian concepts can provide creative and innovative analytical tools for understanding the dynamics of the contemporary media-state-terrorism relationship

Genetic mechanisms of critical illness in COVID-19.

Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with critical illness may identify mechanistic targets for therapeutic development3. Here we report the results of the GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill patients with COVID-19 from 208 UK intensive care units. We have identified and replicated the following new genome-wide significant associations: on chromosome 12q24.13 (rs10735079, P = 1.65 × 10-8) in a gene cluster that encodes antiviral restriction enzyme activators (OAS1, OAS2 and OAS3); on chromosome 19p13.2 (rs74956615, P = 2.3 × 10-8) near the gene that encodes tyrosine kinase 2 (TYK2); on chromosome 19p13.3 (rs2109069, P = 3.98 ×  10-12) within the gene that encodes dipeptidyl peptidase 9 (DPP9); and on chromosome 21q22.1 (rs2236757, P = 4.99 × 10-8) in the interferon receptor gene IFNAR2. We identified potential targets for repurposing of licensed medications: using Mendelian randomization, we found evidence that low expression of IFNAR2, or high expression of TYK2, are associated with life-threatening disease; and transcriptome-wide association in lung tissue revealed that high expression of the monocyte-macrophage chemotactic receptor CCR2 is associated with severe COVID-19. Our results identify robust genetic signals relating to key host antiviral defence mechanisms and mediators of inflammatory organ damage in COVID-19. Both mechanisms may be amenable to targeted treatment with existing drugs. However, large-scale randomized clinical trials will be essential before any change to clinical practice