A systematic review with meta-analysis of cognitive bias modification interventions for anger and aggression.

Aggression and anger are associated with interpretation and attention biases. Such biases have become treatment targets for anger and aggressive behavior in cognitive bias modification (CBM) interventions. Several studies have evaluated the efficacy of CBM for the treatment of anger and aggressive behavior, with inconsistent results. The present study meta-analytically analyzed 29 randomized controlled trial studies (N = 2334) published in EBSCOhost and PubMed between March 2013 and March 2023 assessing the efficacy of CBM for anger and/or aggression. Included studies delivered CBMs that addressed either attention biases, interpretation biases, or both. Risk of publication bias and potential moderating effects of several participant-, treatment- and study-related factors were assessed. CBM significantly outperformed control conditions in the treatment of aggression (Hedge's G = -0.23, 95% CI [-0.35, -0.11], p < .001) and anger (Hedge's G = -0.18, 95% CI [-0.28, -0.07], p = .001) independent of treatment dose, participant demographic characteristics, and study quality, though overall effects were small. Follow-up analyses demonstrated that only CBMs targeting interpretation bias were efficacious for aggression outcomes, but not when baseline aggression was accounted for. Findings suggest that CBM demonstrates efficacy for the treatment aggressive behavior and to a lesser extent, anger.

Women's Substance Use and Mental Health During the COVID-19 Pandemic.

PURPOSE: Women are experiencing greater unemployment and increased stress from childcare responsibilities than men during the COVID-19 pandemic. Women with these experiences may be at particular risk for mental illness and increased substance use during the COVID-19 pandemic. The purpose of the study was to assess women's substance use, mental health, and experiences of COVID-19 pandemic impacts. METHODS: A national online survey was administered to adult women from September to November 2020. The survey included questionnaires assessing mental health, loneliness, intolerance for uncertainty, social support, substance use, and intimate partner violence (IPV). RESULTS: A total of 499 women responded; most were White, college educated, and in their mid-30s. Of the 20.24% who acknowledged at least one IPV problem, 29.7% stated that their IPV problems have gotten worse since the pandemic began, and 16.83% said that they have increased their drug or alcohol use to cope with their relationship problems. Anxiety, perceived daily impact of COVID-19, and lower self-efficacy were significant predictors of COVID-19 anxiety. Those with risky alcohol use had significantly higher anxiety (p = .028) and depression (p = .032) than those with low-risk alcohol use. CONCLUSIONS: Greater anxiety about COVID-19, greater reported changes in daily life due to the pandemic, and high-risk alcohol use are related to greater mental health-related distress among women. For some, IPV has gotten worse during the pandemic and drug or alcohol use is a coping mechanism.

Getting "clean" from nonsuicidal self-injury: Experiences of addiction on the subreddit r/selfharm.

Background & Aims: Previous studies have shown that nonsuicidal self-injury (NSSI) has addictive features, and an addiction model of NSSI has been considered. Addictive features have been associated with severity of NSSI and adverse psychological experiences. Yet, there is debate over the extent to which NSSI and substance use disorders (SUDs) are similar experientially. Methods: To evaluate the extent that people who self-injure experience NSSI like an addiction, we coded the posts of users of the subreddit r/selfharm (n = 500) for each of 11 DSM-5 SUD criteria adapted to NSSI. Results: A majority (76.8%) of users endorsed at least two adapted SUD criteria in their posts, indicative of mild, moderate, or severe addiction. The most frequently endorsed criteria were urges or cravings (67.6%), escalating severity or tolerance (46.7%), and NSSI that is particularly hazardous. User-level addictive features positively predicted number of methods used for NSSI, number of psychiatric disorders, and particularly hazardous NSSI, but not suicidality. We also observed frequent use of language and concepts common in SUD recovery circles like Alcoholics Anonymous. Discussion & Conclusion: Our findings support previous work describing the addiction potential of NSSI and associating addictive features with clinical severity. These results suggest that NSSI and SUD may share experiential similarities, which has implications for the treatment of NSSI. We also contribute to a growing body of work that uses social media as a window into the subjective experiences of stigmatized populations.

Bots and Misinformation Spread on Social Media: Implications for COVID-19.

As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially, so did its media coverage, resulting in a proliferation of conflicting information on social media platforms-a so-called "infodemic." In this viewpoint, we survey past literature investigating the role of automated accounts, or "bots," in spreading such misinformation, drawing connections to the COVID-19 pandemic. We also review strategies used by bots to spread (mis)information and examine the potential origins of bots. We conclude by conducting and presenting a secondary analysis of data sets of known bots in which we find that up to 66% of bots are discussing COVID-19. The proliferation of COVID-19 (mis)information by bots, coupled with human susceptibility to believing and sharing misinformation, may well impact the course of the pandemic.