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Background and aimsThe precise roles of screen media activity (SMA) and sleep problems in relation to child/adolescent psychopathology remain ambiguous. We investigated temporal relationships among sleep problems, SMA, and psychopathology and potential involvement of thalamus-prefrontal-cortex (PFC)-brainstem structural covariation.MethodsThis study utilized data from the Adolescent Brain Cognitive Development study (n = 4,641 ages 9-12) at baseline, Year1, and Year2 follow-up. Cross-Lagged Panel Models (CLPMs) investigated reciprocal predictive relationships between sleep duration/problems, SMA, and psychopathology symptoms. A potential mediating role of baseline Thalamus-PFC-brainstem covariation on SMA-externalizing relationships was examined.ResultsParticipants were divided into discovery (n = 2,359, 1,054 girls) and replication (n = 2,282, 997 girls) sets. CLPMs showed 1) bidirectional associations between sleep duration and SMA in late childhood, with higher frequency SMA predicting shorter sleep duration (β = -0.10 [95%CI: -0.16, -0.03], p = 0.004) and vice versa (β = -0.11 [95%CI: -0.18, -0.05], p < 0.001); 2) externalizing symptoms at age 10-11 predicting sleep problems (β = 0.11 [95%CI: 0.04, 0.19], p = 0.002), SMA (β = 0.07 [95%CI: 0.01, 0.13], p = 0.014), and internalizing symptoms (β = 0.09 [95%CI: 0.05, 0.13], p < 0.001) at age 11-12; and 3) externalizing behavior at age 10-11 partially mediating the relationship between baseline thalamus-PFC-brainstem covariation and SMA at age 11-12 (indirect effect = 0.032 [95%CI: 0.003, 0.067], p-value = 0.030). Findings were replicable.ConclusionWe found bi-directional SMA-sleep-duration associations in late childhood. Externalizing symptoms preceded future SMA and sleep disturbances and partially mediated relationships between structural brain covariation and SMA. The findings emphasize the need for understanding individual differences and developing and implementing integrated strategies addressing both sleep concerns and screen time to mitigate potential impacts on psychopathology.

Background: Among those with common mental health disorders (e.g. mood, anxiety, and stress disorders), comorbidity of substance and other addictive disorders is prevalent. To simplify the seemingly complex relationships underlying such comorbidity, methods that include multiple measures to distill which specific addictions are uniquely associated with specific mental health disorders rather than due to the co-occurrence of other related addictions or mental health disorders can be used. Methods: In a general population sample of Jewish adults in Israel (N = 4002), network analysis methods were used to create partial correlation networks of continuous measures of problematic substance (non-medical use of alcohol, tobacco, cannabis, and prescription sedatives, stimulants, and opioid painkillers) and behavioral (gambling, electronic gaming, sexual behavior, pornography, internet, social media, and smartphone) addictions and common mental health problems (depression, anxiety, and post-traumatic stress disorder [PTSD]), adjusted for all variables in the model. Results: Strongest associations were observed within these clusters: (1) PTSD, anxiety, and depression; (2) problematic substance use and gambling; (3) technology-based addictive behaviors; and (4) problematic sexual behavior and pornography. In terms of comorbidity, the strongest unique associations were observed for PTSD and problematic technology-based behaviors (social media, smartphone), and sedatives and stimulants use; depression and problematic technology-based behaviors (gaming, internet) and sedatives and cannabis use; and anxiety and problematic smartphone use. Conclusions: Network analysis isolated unique relationships underlying the observed comorbidity between common mental health problems and addictions, such as associations between mental health problems and technology-based behaviors, which is informative for more focused interventions. [ABSTRACT FROM AUTHOR]

Conflicting findings have been reported for the longitudinal course of behavioral addictions, especially for social media addiction (SMA) and work addiction (WA). Therefore, evaluating whether these constructs are more trait-like or state-like might be informative. The aim of the present study was to examine the proportion of variance of SMA and WA symptoms (as defined by the components model of addiction) explained by trait and occasion-specific factors in addition to exploring cross-lagged relationships between SMA and WA. Young adults from a representative sample who continuously used social media and worked at least 40 hours a week during the first three waves of the Budapest Longitudinal Study were included (N = 1,551; Females: 50.6%; Age: M = 27.7 years [ SD = 4.40]). The Bergen Social Media Addiction Scale and the Bergen Work Addiction Scale were administered in all three waves. A latent state-trait model with a general trait factor was considered for both SMA and WA. Symptomatic variability in SMA was explained approximately equally by trait and state-like factors, while WA-related symptom variability was mostly attributed to state-like factors. SMA negatively predicted WA over time, while WA showed a positive cross-lagged effect on SMA. While the symptoms of WA were more state-like, the trait-like effects were stronger in SMA. Situational influences and previous symptom severities might have to be considered in the screening process. [ABSTRACT FROM AUTHOR]

There is limited research examining latent profiles of gamers based on emotional variables, which has implications for prevention efforts. The study sought to identify young adult gamer profiles based on depression, anxiety, and stress, and to examine differences between the latent profiles in other addictive behaviors (i.e., tobacco, alcohol, cannabis, illegal substance use, gaming, and gambling). A total of 1209 young adults (M age = 19.37, SD = 1.62; 55.3%males) reported past-year gaming. A latent profile analysis (LPA) was performed to identify distinct profiles, and a set of ANOVA and chi-square analyses characterized the profiles in terms of sociodemographic, addictive behaviors, and emotional variables. LPA suggested a three-profile solution: profile 1 (n = 660, 'low emotional distress'), profile 2 (n = 377, 'moderate emotional distress'), and profile 3 (n = 172, 'high emotional distress'). Participants with 'moderate' and 'high emotional distress' were mostly women, showed greater gaming severity, higher prevalence of past-month substance use (i.e., tobacco and illegal drugs), and greater consequences of alcohol use. The cross-sectional nature of the study and sample being university students. Findings revealed three distinct profiles of gamers, which differed in emotional, gaming, and substance use severity. Transdiagnostic prevention programs have the potential to provide significant benefits to college students by addressing the core processes (e.g., emotion regulation) that underlie substance use and gaming. • Three latent profiles were identified, characterized by low, moderate, and high depression, anxiety, and stress. • Increased depression, anxiety, and stress were related to higher gaming severity. • Emotional symptoms were associated with substance use. • No significant association was found between gambling and gamers' mental health. [ABSTRACT FROM AUTHOR]

Gambling and substance use disorders (SUDs) are prevalent among U.S. military veterans and often co-occur. However, little is known about the clinical and behavioral correlates and suicidal risk of SUDs and gambling among veterans that can help inform targeted interventions for their co-occurrence. In the current study, we analyzed data from a nationally representative sample of 4069 veterans who participated in the National Health and Resilience in Veterans Study. Self-reported measures of lifetime SUDs and past-year gambling (Brief Problem Gambling Screen) were administered. A multinomial logistic regression analysis was conducted to examine differences between four groups: non-SUD/non-gambling, 40.3%; SUD-only 27.3%; Gambling-only 16.3%; and SUD + Gambling, 16.1%. The Gambling-only, SUD-only, and SUD + Gambling groups reported more adverse childhood experiences relative to the non-SUD/non-gambling group. The SUD-only and SUD + Gambling groups had higher odds for all lifetime and current clinical and trauma variables relative to the non-SUD/non-gambling group. The SUD + Gambling group had higher odds of suicidality, non-suicidal self-injury, nicotine dependence and mental health treatment relative to the SUD-only group and all assessed clinical measures relative to the Gambling-only group. Results suggest that SUDs and gambling are associated with substantial trauma and mental health burden among U.S. veterans, with co-occurring SUDs and gambling linked particularly to suicidality/self-harm and mental health treatment. The findings underscore the importance of multicomponent assessments and interventions targeting SUDs, gambling, and related concerns, such as trauma-related mental health difficulties, in this population. [ABSTRACT FROM AUTHOR]

Background: Substance use disorders (SUDs) may cause severe social and health problems. Therefore, providing adequate treatments for people with SUDs to change their drug use behaviors is important. This study examined the effectiveness of Kawa Model based therapy among people with SUDs in Taiwan. Methods: Participants were recruited from people with SUDs who violated the Controlled Drugs Act in Taiwan were mandated to abstinence services by law from January 2016 through October 2021 in Southern Taiwan. Each participant selected a 2-hour for 4 times or 8-hour for one day compulsory treatments and received either the Kawa model based treatment (n = 55; 9 women; mean ± SD age = 36.73 ± 10.42 years) or psychoeducation courses (n = 42; 8 women; mean ± SD age = 27.57 ± 5.78 years), respectively. Stages of change was assessed using the University of Rhode Island Change Assessment before and after treatments. Results: There were no significant differences in the stages of change scores at baselines between the 2 groups (p =.06–0.20). After treatments, participants who received the Kawa Model based treatment had higher scores in specific stages of change than did those who received the psychoeducation course in the domains of 'contemplation' (p =.001), 'action' (p =.001), and 'readiness' (p =.002). Conclusion: The present study demonstrated initial and preliminary findings that the Kawa Model based therapy may improve readiness for changing drug use behaviors in people with SUDs. [ABSTRACT FROM AUTHOR]

Abstract Smartphone overdependence is a maladaptive behavior characterized by excessive and uncontrollable smartphone use despite negative consequences. Impulsivity and emotional dysregulation, which are multidimensional constructs with each factor exerting a different effect, have been found to influence the development and persistence of smartphone overdependence. This study utilized network analysis to investigate the intricate relationships between the factors of impulsivity, emotional dysregulation, and smartphone overdependence. A sample of 687 adults in their twenties completed an online survey. Central nodes of the network were “Impulse-control difficulties,” “Positive Urgency,” “Salience” and “Relapse,” and bridge nodes included a “Lack of emotional awareness and understanding,” “Negative Urgency,” “Lack of Perseverance,” and “Impulse-control difficulties.” These findings suggest that emotion-related impulsivity plays a pivotal role in smartphone overdependence and emotional dysregulation, with impulsivity acting as a critical mediator between emotional dysregulation and smartphone overdependence.

Background Digital addictions are a major problem worldwide, which has increased considerably during the COVID-19 pandemic. In this scenario, two important impact factors to explain this problem are stress and anxiety because of COVID-19. The objective of this research was to determine the impact of distress and anxiety due to COVID-19 on digital addictions. Methods cross-sectional, explanatory study. A total of 802 students from public and private universities residing in the city of Lima and Callao (Peru), with a mean age of 21.68 (SD = 3.11), selected by convenience sampling, participated in the study. The MULTICAGE CAD-4 questionnaire, the distress scale, and the anxiety scale by COVID-19 were applied. Results two models examined with structural equation modeling showed good fit indices (CFI and TLI > .95, RMSEA and SRMR < .06). The first model shows that the latent variables distress and anxiety due to COVID-19 have direct effects on digital addictions as a general construct (R 2 = 22%). The second model shows that the exogenous latent variables (stress and anxiety) have direct effects of different magnitudes on each digital technology, so the variance explained on smartphone addiction was higher (R 2 = 25%) with respect to internet (R 2 = 19%) and video game addiction (R 2 = 6%). It was also found that for every male, there are two females with high levels of distress and anxiety. Regarding the problematic use of smartphones and internet, there is a prevalence of 40% regardless of sex; but as for the problematic use of video games, there is a marked difference between males (18.8%) and females (2.7%). Conclusion the distress and anxiety caused by COVID-19 have a direct impact in aggravating digital addictions.

Background: Internet addiction causes a variety of social, interpersonal, psychological, and physical issues. We are confronting a worldwide crisis about internet addiction and its effects. Objectives: Utilizing five questionnaires to survey university students during the COVID‐19 epidemic, the current study sought to evaluate internet addiction and associated risk variables. Methods: At the University of Medical Sciences in North Iran, a cross‐sectional analytical investigation was carried out. The sample was done among 318 students, selected through the random cluster sampling method. Data collection was done during August and September 2021. Results: Based on our findings, the prevalence of internet addiction was 28.9% (92/318). Our results revealed that women are at twice the twice the risk of internet addiction as men (p = 0.028). Students in the medicinal field (p = 0.043; students with a positive history of mental illness in the family) p = 0.001 (and students with a fear of COVID‐19) p = 0.002 (recognized in the risk of Internet addiction, thus depression) p < 0.001 (anxiety) p < 0.001 (somatization) p = 0.001 (and psychological distress) p < 0.001 are risk factors for internet addiction. Age, marital status, place of living, total social support, and use of Alcohol/cigarettes are not risk factors for internet addiction. Conclusions: The findings suggest that university students with a fear of COVID‐19, depression, anxiety, somatization, psychological distress and a positive history of mental illness in the family, particularly medicinal field students, are at significant risk for Internet addiction. [ABSTRACT FROM AUTHOR]

The co-occurrence between gambling disorder (GD) and problematic pornography use (PPU) has not yet been explored. Therefore, the present study compared (a) sociodemographic variables, (b) GD-related factors, (c) substance use, (d) psychopathology, (e) personality features, (f) impulsivity, and (g) emotion regulation between individuals with GD (GD group) and those with co-occurring GD and PPU (GD+PPU group). The sample consisted of 359 treatment-seeking individuals with GD: n = 332 individuals had GD only (GD group) and n = 37 individuals had GD and co-occurring PPU (GD+PPU group). GD severity, impulsivity, psychopathology, personality, emotion regulation, and other sociodemographic and clinical variables were assessed. No between-group differences in sociodemographic measures were observed. The GD+PPU group demonstrated greater GD severity and a higher likelihood of substance use compared to those without PPU. Furthermore, the presence of PPU was associated with worse psychopathology, higher impulsivity (except for lack of premeditation and positive urgency), more difficulties in emotion regulation (except for non-acceptance of emotions and limited access to emotions), and a personality profile characterized by lower levels of self-directedness and cooperativeness. The co-occurrence of GD and PPU seems associated with a more dysfunctional clinical profile. [ABSTRACT FROM AUTHOR]

Abstract Background Digital addictions are a major problem worldwide, which has increased considerably during the COVID-19 pandemic. In this scenario, two important impact factors to explain this problem are stress and anxiety because of COVID-19. The objective of this research was to determine the impact of distress and anxiety due to COVID-19 on digital addictions. Methods cross-sectional, explanatory study. A total of 802 students from public and private universities residing in the city of Lima and Callao (Peru), with a mean age of 21.68 (SD = 3.11), selected by convenience sampling, participated in the study. The MULTICAGE CAD-4 questionnaire, the distress scale, and the anxiety scale by COVID-19 were applied. Results two models examined with structural equation modeling showed good fit indices (CFI and TLI > .95, RMSEA and SRMR < .06). The first model shows that the latent variables distress and anxiety due to COVID-19 have direct effects on digital addictions as a general construct (R2 = 22%). The second model shows that the exogenous latent variables (stress and anxiety) have direct effects of different magnitudes on each digital technology, so the variance explained on smartphone addiction was higher (R2 = 25%) with respect to internet (R2 = 19%) and video game addiction (R2 = 6%). It was also found that for every male, there are two females with high levels of distress and anxiety. Regarding the problematic use of smartphones and internet, there is a prevalence of 40% regardless of sex; but as for the problematic use of video games, there is a marked difference between males (18.8%) and females (2.7%). Conclusion the distress and anxiety caused by COVID-19 have a direct impact in aggravating digital addictions.

Gaming disorder (GD) is a growing public health issue requiring reliable screening and diagnostic tools. A commonly used tool for assessing GD is the Gaming Disorder Test (GDT). The GDT assesses GD based on International Classification of Diseases 11th Revision (ICD-11) criteria; however, its psychometric testing has been conducted across studies but yet snythesized. This meta-analysis aimed to synthesize psychometric data regarding the GDT globally. Adhering to pre-registration, a comprehensive search across databases identified 17 eligible studies (n=22,000) in 14 languages reporting on the psychometric properties of the GDT, especially its Cronbach’s alpha. The pooled Cronbach’s alpha was 0.86 (95% CI: 0.83-0.89), indicating excellent internal consistency. Although significant heterogeneity was observed (I2= 98.54%), prediction intervals suggested true outcomes likely shared a positive direction. No moderating effects were found regarding sample characteristics, study quality, or geographical location. The meta-analysis provides robust and quantitative evidence supporting the internal consistency of the GDT across diverse populations. Moreover, qualitative synthesis indicates that the GDT has strong psychometric properties without risk of bias across the analyzed studies, indicating the GDT’s ability to assess GD globally. However, the heterogeneity suggests cautious interpretation of the reliability estimates

Shih-Ching Chin,1,&ast; Yun-Hsuan Chang,2– 6,&ast; Chih-Chun Huang,6,7 Ting-Hsi Chou,1 Chieh-Liang Huang,8 Hsiu-Man Lin,9 Marc N Potenza10 1Department of Psychology, Asia University, Taichung, Taiwan; 2Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 3Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 4Department of Psychology, National Cheng Kung University, Tainan, Taiwan; 5Institute of Genomics and Bioinformatics, College of Life Sciences, National Chung Hsing University, Taichung, Taiwan; 6Department of Psychiatry, National Cheng Kung University Hospital, Douliou Branch, Yunlin, Taiwan; 7Department of Psychiatry, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 8Department of Psychiatry, Tsaotun Psychiatric Center, Ministry of Health and Welfare, Nantou, Taiwan; 9Department of Child and Adolescent Development and Mental Health, China Medical University Children’s Hospital, Taichung, Taiwan; 10Psychiatry, Child Study and Neuroscience, Center of Excellence in Gambling Research, Yale School of Medicine, New Haven, CT, USA&ast;These authors contributed equally to this workCorrespondence: Yun-Hsuan Chang, Licensed Clinical Psychologist, Institute of Gerontology, College of Medicine; Department of Psychology, National Cheng Kung University, No. 1., University Road, Tainan, Taiwan, Email z11108051@ncku.edu.tw; yh.chang.snoopy@gmail.comIntroduction: The surge in mobile gaming, fueled by smartphone and internet accessibility, lacks a comprehensive understanding of physiological changes during gameplay.Methods: This study, involving 93 participants (average age 21.75 years), categorized them into Problematic Mobile Gaming (PMG) and non-problematic Mobile Gaming (nPMG) groups based on Problematic Mobile Gaming Questionnaire (PMGQ) scores. The PMGQ is a 12-item scale developed in Taiwan to assess symptoms of problematic mobile gaming. The research delved into heart rate variability (HRV) alterations during real-time mobile gaming and self-gaming video viewing.Results: Results showed that the PMG group significantly presents a lower root mean square of successive differences (RMSSD), and High Frequency (lnHF) than does the nPMG group (F=4.73, p=0.03; F=10.65, p=0.002, respectively) at the baseline. In addition, the PMG group significantly displayed elevated HF and low-frequency to high-frequency (LF/HF) in the mobile-gaming (F=7.59, p=0.007; F=9.31, p=0.003) condition as well as in the watching self-gaming videos (F=9.75, p=0.002; F=9.02, p=0.003) than did the nPMG.Conclusion: The study suggests targeted interventions to mitigate autonomic arousal, offering a potential avenue to address adverse effects associated with problematic mobile gaming behavior. The PMG group displayed increased craving scores after real-time mobile gaming and watching self-gaming video excerpts, unlike the nPMG group. Elevated LF/HF ratios in frequent gaming cases heightened autonomic arousal, presenting challenges in relaxation after mobile gaming. These findings contribute to a nuanced understanding of the complex interplay between mobile gaming activities, physiological responses, and potential intervention strategies.Keywords: addictive behaviors, video games, internet addiction, autonomic nervous system, craving, heart rate variability, self-regulation

* Background Digital addictions are a major problem worldwide, which has increased considerably during the COVID-19 pandemic. In this scenario, two important impact factors to explain this problem are stress and anxiety because of COVID-19. The objective of this research was to determine the impact of distress and anxiety due to COVID-19 on digital addictions. Methods cross-sectional, explanatory study. A total of 802 students from public and private universities residing in the city of Lima and Callao (Peru), with a mean age of 21.68 (SD = 3.11), selected by convenience sampling, participated in the study. The MULTICAGE CAD-4 questionnaire, the distress scale, and the COVID-19 worry scale were applied. Results two models examined with structural equation modeling showed good fit indices (CFI and TLI > .95, RMSEA and SRMR < .06). The first model shows that the latent variables distress and anxiety due to COVID-19 have direct effects on digital addictions as a general construct (R 2 = 22%). The second model shows that the exogenous latent variables (stress and anxiety) have direct effects of different magnitudes on each digital technology, so the variance explained on smartphone addiction was higher (R 2 = 25%) with respect to internet (R 2 = 19%) and video game addiction (R 2 = 6%). It was also found that for every male, there are two females with high levels of distress and anxiety. Regarding the problematic use of smartphones and internet, there is a prevalence of 40% regardless of sex; but as for the problematic use of video games, there is a marked difference between males (18.8%) and females (2.7%). Conclusion the distress and anxiety caused by COVID-19 have a direct impact in aggravating digital addictions.

Background and aimsAbout 1/3 of youth spend more than four hours/day engaged in screen media activity (SMA). This investigation utilized longitudinal brain imaging and mediation analyses to examine relationships among SMA, brain patterns, and internalizing problems.MethodsData from Adolescent Brain Cognitive Development (ABCD) participants with baseline and two-year follow-up structural imaging data that passed quality control (N = 5,166; 2,385 girls) were analyzed. Joint and Individual Variation Explained (JIVE) identified a brain co-development pattern among 221 brain features (i.e., differences in surface area, thickness, or cortical and subcortical gray-matter volume between baseline and two-year-follow-up data). Generalized linear mixed-effect models investigated associations between baseline SMA, structural co-development and internalizing and externalizing psychopathology at two-year follow-up.ResultsSMA at baseline was related to internalizing psychopathology at year 2 (β=0.020,SE=0.008,P=0.014) and a structural co-development pattern (β=0.015,SE=0.007,P=0.029), where the co-development pattern suggested that rates of change in gray-matter volumes of the brainstem, gray-matter volumes and/or cortical thickness measures of bilateral superior frontal, rostral middle frontal, inferior parietal, and inferior temporal regions were more similar than those in other regions. This component partially mediated the relationship between baseline SMA and future internalizing problems (indirect effect = 0.020, P-value = 0.043, proportion mediated: 2.24%).Discussion and conclusionsGreater youth engagement in SMA at ages 9-10 years statistically predicted higher levels of internalizing two years later. This association was mediated by cortical-brainstem circuitry, albeit with relatively small effect sizes. The findings may help delineate processes contributing to internalizing behaviors and assist in identifying individuals at greater risk for such problems.

Forgetting is often viewed as a human frailty. However, over the years, it has been considered an adaptive process that allows people to avoid retrieval of undesirable memories, preventing them from suffering and discomfort. Evidence shows that the ability to suppress memories is affected by several psychopathological conditions characterized by persistent unwanted thoughts, including anxiety and posttraumatic stress disorders. Nevertheless, memory suppression (MS) mechanisms in addiction—a clinical condition characterized by recurrent drug‐related thoughts that contribute to repeated drug use—have received little attention so far. Addiction theories reveal that drugs change behavior by working on memory systems, particularly on declarative memory, which is related to the retrieval and encoding of drug‐related memories. In this review, the main behavioral and neurofunctional findings concerning the Think/No‐Think task—an adaptation of the classical Go/No‐Go tasks typically used to evaluate the suppression of motor response—are presented. We then show how the memory system can be involved in the craving or anticipation/preoccupation stage of the addiction cycle. Subsequently, the study of MS in the context of addictive behaviors is highlighted as a promising approach for gaining knowledge about the mechanisms contributing to the continuation of addiction. Finally, we discuss how interventions aiming to strengthen this ability could impact the anticipation/preoccupation stage by (i) reducing the accessibility of drug‐related memories, (ii) decreasing craving and attention toward drug‐related stimuli, and (iii) improving overall inhibition abilities. In conclusion, this review aims to illustrate how the study of MS may be a valuable approach to enhance our understanding of substance use disorders by unveiling the underlying cognitive and neural mechanisms involved, which could have important implications for addiction treatment. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to understand COVID-19 pandemic impacts on anxiety, depression, and addictive/excessive behaviors, with exploration of intolerance of uncertainty (IU) and social connectedness as potential moderators. Participants: Adult college students participated. Method: Our online survey assessed symptoms and behaviors prior to COVID-19, during the initial outbreak (Wave 1), and during early 2021 (Wave 2). Results: Significant increases were found in anxiety, depression, binge eating, sexual behaviors, video game playing, internet/social media usage, and compulsive exercise in both waves. IU moderated the relationship between both depression/anxiety and certain excessive behaviors; social connectedness moderated the relationship between anxiety and smoking. Conclusions: This study replicated prior work and highlights new impacts on addictive/excessive behaviors, as well as moderating effects from social connectedness and IU. Future research is warranted to evaluate the efficacy of treatments targeting IU and social connectedness as the pandemic continues to unfold. [ABSTRACT FROM AUTHOR]

Postpartum substance use can have lasting impacts on caregiving and child development. Prior work examining maternal substance use and neural responses to infant cues has employed unknown infant face and cry stimuli, categorizing mothers as either substance-using or not, potentially overlooking the complexity and dynamic nature of current substance use. Here, 106 postpartum women were presented with own and unknown infant cues while electroencephalography (EEG) was recorded. Current substance use was assessed through an inclusive continuous approach. The central finding was that higher levels of current substance use were associated with longer delays in the N170 response to infant faces regardless of familiarity, replicating previous work using categorical substance use assessments (i.e., present or absent). Findings highlight the feasibility of continuous measures of substance use and suggest that salience of own infant cues may not be sufficient to override substance use effects on maternal processing of infant cues. [ABSTRACT FROM AUTHOR]

This study examined associations between recreational gambling (RG) and at-risk/problem gambling (ARPG), and clinical measures of mental illness and substance use, functionality, homelessness, in a nationally representative sample of U.S. military veterans. Data were analyzed from 781 veterans who participated National Veteran Homeless and Other Poverty Experiences (NV-HOPE) study conducted in 2021. Chi-square tests, analyses of variance (ANOVAs) and logistic regressions analyses were conducted to examine unadjusted and adjusted associations between gambling group status and sociodemographic, psychiatric, substance use, functioning, and homelessness measures. A significant minority of low-income U.S. veterans reported gambling, with 24.9% (95% confidence interval [CI] 95% CI 21.12–28.76%) exhibiting RG and 6.7% (95% CI 3.88–9.42%) screening positive for ARPG. The prevalence of ARPG was higher among younger, non-White veterans. ARPG was associated with greater symptoms of substance use and anxiety; poorer physical functioning; history of any mental illness; lifetime history of homelessness; and having any student or car loans relative to NG. Veterans who had RG were more likely to screen positive for drug use disorders relative to NG. Results of the current study provide an up-to-date estimate of the current prevalence of RG and ARPG among low-income U.S. veterans and underscore the importance of routine screening, monitoring, and development of interventions for problematic gambling severity, as well as interventions for ARPG in this population. These findings may inform targeted intervention strategies for this vulnerable subpopulation. [ABSTRACT FROM AUTHOR]

Background: The activation of permissive beliefs is a cognitive mechanism through which individuals permit themselves to engage in pleasurable, yet potentially unregulated activities. Existing measures are heterogenous, focusing either on specific behaviors or on particular licensing mechanisms. The new Permissive Beliefs Questionnaire (PBQ) seeks to integrate self-licensing mechanisms from various research domains and to be applicable to different behaviors. Methods: Study 1 aimed at exploring the factor structure and reduce the number of items. In study 2, we used confirmatory factor analysis and tested convergent and discriminant validity in three subsamples of individuals playing videogames (n = 489), shopping online (n = 506), and drinking alcohol (n = 511). We tested the hypothesis whether individuals who experience a self-regulatory conflict show a greater expression of permissive beliefs. Results: The final version of the PBQ consists of 12 items which represent two factors: Deserving Reward and Defensive Optimism. The PBQ exhibited robust model fit indices and internal consistencies in the three samples. Permissive beliefs were heightened among individuals intending to downregulate their gaming, shopping, or drinking behaviors as compared to individuals without this intention. Conclusion: The PBQ is a valid measure of permissive beliefs for gaming, online shopping, and drinking alcohol. It serves an ecologic and psychometrically valid tool to address empirical research questions regarding the functioning of permissive beliefs. Additionally, it may be used in clinical settings to measure and raise an understanding for permissive beliefs in clients.

Background: Problematic use of the internet (PUI) is prevalent, particularly among adolescents and young adults. Given the limited measures to assess specific types of PUI, which encompasses a broad spectrum of activities such as online gaming, social media use, pornography use, shopping, gambling, and web-streaming, Muller et al. (2022) developed the Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) to comprehensively assess different types of PUI (i.e., gaming, shopping, social media use, gambling, and pornography use). The present study aimed to validate the Chinese ACSID-11 among adolescents incorporating cross-cultural adaptations. Methods: Using forward-backward translation method, a culturally adapted version of the ACSID-11 was prepared. Then, a cross-sectional online survey was administered between September 8 and September 26, 2023. Adolescents, using a convenience sample (N = 11,492; mean age = 16.42 years [SD ± 0.91]; 59.1% male), were recruited from six schools to complete the translated ACSID-11, Internet Gaming Disorder Scale-Short Form (IGDS9-SF), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application Based Addiction Scale (SABAS) via an online platform. Pearson correlation coefficients assessed convergent/discriminant validity. Factor structure and measurement invariance were examined through confirmatory factor analysis (CFA) and multi-group CFA. Cronbach's alpha and McDonald's omega tested internal consistency. Results: Associations between the ACSID-11 components and other scales supported convergent validity (i.e., ACSID-11 gaming scale with IGDS9-SF [0.37 ≤ r ≤ 0.41]; social networks use scale with BSMAS [0.24 ≤ r ≤ 0.31]) and discriminant validity (i.e., online gambling scale with BSMAS [0.16 ≤ r ≤ 0.19] and with SABAS [0.11 ≤ r ≤ 0.13]). A four-factor solution indicated good fit with comparative fit index (CFI) ranging from 0.982 to 0.958. The ACSID-11 was measurement invariant across sexes (∆CFI = -0.001 to 0.000) and different levels of related addictive behaviors (∆CFI = -0.001 to 0.000). Both Cronbach's alpha and McDonald's omega (0.63 to 0.97) were acceptable for both frequency and intensity of responses. Conclusions: The ACSID-11 is an appropriate scale to assess different kinds of PUI among Chinese adolescents and students. Psychometric assessment of the measure in other cultures and among clinical samples is recommended.

Abstract Background Internet addiction causes a variety of social, interpersonal, psychological, and physical issues. We are confronting a worldwide crisis about internet addiction and its effects. Objectives Utilizing five questionnaires to survey university students during the COVID‐19 epidemic, the current study sought to evaluate internet addiction and associated risk variables. Methods At the University of Medical Sciences in North Iran, a cross‐sectional analytical investigation was carried out. The sample was done among 318 students, selected through the random cluster sampling method. Data collection was done during August and September 2021. Results Based on our findings, the prevalence of internet addiction was 28.9% (92/318). Our results revealed that women are at twice the twice the risk of internet addiction as men (p = 0.028). Students in the medicinal field (p = 0.043; students with a positive history of mental illness in the family) p = 0.001 (and students with a fear of COVID‐19) p = 0.002 (recognized in the risk of Internet addiction, thus depression) p

Abstract* Background Digital addictions are a major problem worldwide, which has increased considerably during the COVID-19 pandemic. In this scenario, two important impact factors to explain this problem are stress and anxiety because of COVID-19. The objective of this research was to determine the impact of distress and anxiety due to COVID-19 on digital addictions. Methods cross-sectional, explanatory study. A total of 802 students from public and private universities residing in the city of Lima and Callao (Peru), with a mean age of 21.68 (SD = 3.11), selected by convenience sampling, participated in the study. The MULTICAGE CAD-4 questionnaire, the distress scale, and the COVID-19 worry scale were applied. Results two models examined with structural equation modeling showed good fit indices (CFI and TLI > .95, RMSEA and SRMR < .06). The first model shows that the latent variables distress and anxiety due to COVID-19 have direct effects on digital addictions as a general construct (R2 = 22%). The second model shows that the exogenous latent variables (stress and anxiety) have direct effects of different magnitudes on each digital technology, so the variance explained on smartphone addiction was higher (R2 = 25%) with respect to internet (R2 = 19%) and video game addiction (R2 = 6%). It was also found that for every male, there are two females with high levels of distress and anxiety. Regarding the problematic use of smartphones and internet, there is a prevalence of 40% regardless of sex; but as for the problematic use of video games, there is a marked difference between males (18.8%) and females (2.7%). Conclusion the distress and anxiety caused by COVID-19 have a direct impact in aggravating digital addictions.

Introduction: We all experience occasional self-control failures (SCFs) in our daily lives, where we enact behaviors that stand in conflict with our superordinate or long-term goals. Based on the assumption that SCFs share common underlying mechanisms with addictive disorders, we tested the hypothesis that a generally higher susceptibility to daily SCFs predicts more addictive behavior, or vice versa. Methods: At baseline, 338 individuals (19-27 years, 59% female) from a community sample participated in multi-component assessments. These included among others (1) a clinical interview on addictive behaviors (quantity of use, frequency of use, DSM-5 criteria; n = 338) and (2) ecological momentary assessment of SCFs (n = 329, 97%). At the 3-year and 6 year follow-up, participation rates for both assessment parts were 71% (n = 240) and 50% (n = 170), respectively. Results: Controlling for age, gender, IQ, and baseline addiction level, randomintercept cross-lagged panel models revealed that participants who reported more SCFs also showed pronounced addictive behavior at the between-person level, but we found no evidence of a predictive relationship at the within-person level over time. Discussion: A higher rate of SCFs is associated with more addictive behavior, while there is no evidence of an intraindividual predictive relationship. Novel hypotheses suggested by additional exploratory results are that (1) only addiction-related SCFs in daily life are early markers of an escalation of use and thus for addictive disorders and that (2) an explicit monitoring of SCFs increases self-reflection and thereby promotes the mobilization of cognitive control in response to goal-desire conflicts. [ABSTRACT FROM AUTHOR]

Bullying, traditional or cyber, among adolescents, is a public health concern. In this study, we explored frequencies and correlates of different forms of bullying among Connecticut high-school students. Youth Risk Behavior Survey data from 2019 from Connecticut adolescents (N = 1814) were used. χ2 tests and survey-weighted logistic regressions examined relationships between bullying subgroups (in-school traditional bullying (ISTB) only, cyberbullying only, and both) and mental concerns, risk behaviors, academic performance, physical health, and receipt of social support, with the logistic regressions adjusted for demographics. The past-12-month frequency of having experienced only cyberbullying was 5.6%, only ISTB was 9.1%, and both forms was 8.7%. Between-group differences were observed by bullying status in terms of sex and race/ethnicity. In adjusted models, bullying status was associated with suicide attempts, suicidal ideation, self-harm, depression/dysphoria, mental health, use of alcohol, marijuana, injection drugs, tobacco, and e-vapor, gambling, driving under influence of alcohol, high-risk sexual behavior, physical fights, weapon-carrying, injuries/threats at school, feeling unsafe at school, dating violence, obesity, poor general health, insecure housing, less perceived family support, and poor academic performance. People experiencing both types of bullying were typically more likely to report adverse measures. High-school students commonly report bullying. The findings that both forms (traditional and cyber) were more robustly linked to negative experiences highlight the need for examining further relationships between types and patterns of bullying and mental health and functioning. Better understanding may help improve preventive anti-bullying interventions. • Bullying (cyber, in school traditional, and both) was associated with poor health. • Rates of in-school traditional bullying-only were highest, followed by both forms. • Experiencing both forms of bullying was associated with more severe correlates. • The patterns of correlates differed among those with both or either form of bullying. [ABSTRACT FROM AUTHOR]

Background: Individual differences in gray-matter morphometry in the limbic system and frontal cortex have been linked to clinical features of cocaine use disorder (CUD). Self-administration paradigms can provide more direct measurements of the relationship between the regulation of cocaine use and gray-matter morphometry when compared to self-report assessments. Objectives: Our goal was to investigate associations with self-administration behavior in subcortical and cortical brain regions. We hypothesized the number of cocaine infusions self-administered would be correlated with gray-matter volumes (GMVs) in the striatum, amygdala, and hippocampus. Due to scarcity in human studies, we did not hypothesize subcortical directionality. In the frontal cortex, we hypothesized thickness would be negatively correlated with self-administered cocaine. Methods: We conducted an analysis of cocaine self-administration and structural MRI data from 33 (nFemales = 10) individuals with moderate-to-severe CUD. Self-administration lasted 60-minutes and cocaine (8, 16, or 32 mg/70 kg) was delivered on an FR1 schedule (5-minute lockout). Subcortical and cortical regression analyses were performed that included combined bilateral regions and age, experimental variables and use history as confounders. Results: Self-administered cocaine infusions were positively associated with caudal GMV (b = 0.18, p = 0.030) and negatively with putamenal GMV (b = −0.10, p = 0.041). In the cortical model, infusions were positively associated with insular thickness (b = 0.39, p = 0.008) and women appeared to self-administer cocaine more frequently (b = 0.23, p = 0.019). Conclusions: Brain morphometry features in the striatum and insula may contribute to cocaine consumption in CUD. These differences in morphometry may reflect consequences of prolonged use, predisposed vulnerability, or other possibilities. Clinical Trial Numbers: NCT01978431; NCT03471182 [ABSTRACT FROM AUTHOR]

Cannabis use disorder (CUD) is increasing in the United States, yet, specific neural mechanisms of CUD are not well understood. Disordered substance use is characterized by heightened drug cue incentive salience, which can be measured using the late positive potential (LPP), an event‐related potential (ERP) evoked by motivationally significant stimuli. The drug cue LPP is typically quantified by averaging the slow wave's scalp‐recorded amplitude across its entire time course, which may obscure distinct underlying factors with differential predictive validity; however, no study to date has examined this possibility. In a sample of 105 cannabis users, temporo‐spatial Principal Component Analysis was used to decompose cannabis cue modulation of the LPP into its underlying factors. Acute stress was also inducted to allow for identification of specific cannabis LPP factors sensitive to stress. Factor associations with CUD severity were also explored. Eight factors showed significantly increased amplitudes to cannabis images relative to neutral images. These factors spanned early (~372 ms), middle (~824 ms), and late (>1000 ms) windows across frontal, central, and parietal‐occipital sites. CUD phenotype individual differences were primarily associated with frontal, middle/late latency factor amplitudes. Acute stress effects were limited to one early central and one late frontal factor. Taken together, results suggest that the cannabis LPP can be decomposed into distinct, temporal‐spatial factors with differential responsivity to acute stress and CUD phenotype variability. Future individual difference studies examining drug cue modulation of the LPP should consider (1) frontalcentral poolings in addition to conventional central‐parietal sites, and (2) later LPP time windows. The current study is the first to utilize temporo‐spatial principal component analysis (PCA) to decompose the cannabis cue modulation of the late positive potential (LPP) before and after an acute laboratory stressor. Findings provide insight into potential neurophysiological markers relevant for substance use outcomes. [ABSTRACT FROM AUTHOR]

Abstract:Aims: Opioid misuse is an epidemic in the United States and globally, with adolescents affected by negative consequences including overdoses and deaths. Understanding how mental health and substance use relate to specific types of opioid use is thus important. Methods: Data from the 2019 Connecticut Youth Risk Behavior Survey were analyzed. Chi squares and adjusted odds ratios were computed to relate demographic variables, mental health, and substance use measures to misuse of prescription pain medications with and without heroin use, as compared to neither. Results: Among 1,931 high-school respondents, 8.8 % (n=180) reported prescription pain medication misuse (PPMM+), and 1.4 % (n=28) also reported using heroin (PPMM/HU+). PPMM+ was associated with being female while PPMM/HU+ was associated with being non-White and male. Poorer mental health was associated with PPMM+, and suicidality measures were strongly related to PPMM/HU+. Use of other substances was reported with PPMM+ and PPMM/HU+, with use of vapor products, including on school grounds, particularly linked to the latter. Conclusions: PPMM+ and PPMM/HU+ are associated with suicidality and substance use among adolescents, with suicidality particularly related to PPMM/HU+. Having access to and using substances on school property suggests the need for school-based and other interventions. [ABSTRACT FROM AUTHOR]

Gambling disorder (GD) is a mental health condition characterized by persistent and problematic betting behavior. GD generates distress and impairment, and treatment options include psychological and pharmacological interventions. This narrative review explores existing pharmacological treatments for GD. The following classes of medications were considered: opioid-receptor antagonists (e.g. naltrexone and nalmefene), serotonin reuptake inhibitors (e.g. fluvoxamine, paroxetine, sertraline, escitalopram, and citalopram), glutamatergic agents (e.g. N-acetylcysteine (NAC), acamprosate, and memantine), mood stabilizers (e.g. topiramate, carbamazepine, lithium), and other medications (e.g. modafinil, nefazodone, olanzapine, haloperidol, tolcapone, and bupropion). Due to the limitations of the studies reviewed, solid conclusions regarding the optimal choice of pharmacotherapy for individuals with GD are challenging to draw at this time. Despite some medications, such as naltrexone and nalmefene, showing promising results, efficacy has varied across studies. The review highlights current gaps/limitations, including small sample sizes, limited diversity in participant demographics, the need for exploring different gambling subtypes and treatment responses, high placebo response rates, lack of longer-term longitudinal information, limited investigation of neurobiological correlates and co-occurring disorders, and the importance of implementation research. Further research is needed to address these gaps and explore additional medications, as well as interventions like neuromodulation. [ABSTRACT FROM AUTHOR]

This paper offers a systematic review of quantitative and qualitative studies on the main twelve-step mutual-help (TSMH) groups (excluding Alcoholics Anonymous) and four meta-analyses exploring the correlation between (i) duration or involvement in TSMH groups and; (ii) severity of symptoms or quality of life. Systematic review was conducted following PRISMA guidelines. Searches of databases (MEDLINE, PsychInfo), a register (ClinicalTrials) and citations were conducted, from inception through November 01 2022. Fifty five articles were included (24 quantitative, 27 qualitative, 4 mixed-methods), corresponding to 47 distinctive studies. 68% of these studies were conducted in North America, 17% in Middle East, 11% in the European Union and 4% in Australia. The most studied TSMH group were Gamblers Anonymous (28% of the 47 studies), Narcotics Anonymous (26%), Double Trouble in Recovery (15%), Overeaters Anonymous (19%) and TSMH groups for compulsive sexual behaviors (11%). The four meta-analyses pooled data from 9 studies. Pooled mean age ranged from 36.5 to 40.5. 80–81% of participants were male. TSMH attendance and involvement were negatively correlated with severity of symptoms (high and medium levels of evidence) and positively correlated with quality of life (low levels of evidence). Twenty-one qualitative papers reported factors influencing recovery: Social (n = 15), emotional (n = 9), spiritual (n = 8), self-identification or psychological (n = 6) factors. Review provides characteristics of TSMH groups others than Alcoholics Anonymous, with implications for both research and healthcare practice. The perspective to implement TSMH groups targeting ontological addiction, at the root of all addiction, is discussed. Protocol registration: Prospero registration number: CRD42022342605. [ABSTRACT FROM AUTHOR]

Mothers who use substances during pregnancy and postpartum may have altered maternal behavior towards their infants, which can have negative consequences on infant social-emotional development. Since maternal substance use has been associated with difficulties in recognizing and responding to infant emotional expressions, investigating mothers' subjective responses to emotional infant stimuli may provide insight into the neural and psychological processes underlying these differences in maternal behavior. In this study, 39 mothers who used substances during the perinatal period and 42 mothers who did not underwent functional magnetic resonance imaging while viewing infant faces and hearing infant cries. Afterwards, they rated the emotional intensity they thought each infant felt ('think'-rating), and how intensely they felt in response to each infant stimulus ('feel'-rating). Mothers who used substances had lower 'feel'-ratings of infant stimuli compared to mothers who did not. Brain regions implicated in affective processing (e.g., insula, inferior frontal gyrus) were less active in response to infant stimuli, and activity in these brain regions statistically predicted maternal substance-use status. Interestingly, 'think'-ratings and activation in brain regions related to cognitive processing (e.g., medial prefrontal cortex) were comparable between the two groups of mothers. Taken together, these results suggest specific neural and psychological processes related to emotional responsivity to infant stimuli may reflect differences in maternal affective processing and may contribute to differences in maternal behavior in mothers who use substances compared to mothers who do not. The findings suggest potential neural targets for increasing maternal emotional responsivity and improving child outcomes. [ABSTRACT FROM AUTHOR]

Purpose of Review: In this scoping review, we examined sex as a substitute addiction for other substance or behavioral addictions, with a particular emphasis on how it has been defined, has presented clinically, the samples and contexts studied, and the methods used. Various types of sexual behaviors were included (e.g., voyeurism, and pornography use). Recent Findings: Overall, 18 peer-reviewed articles, published between 1954 and 2023, were retained. Across studies, and pathways to recovery, the most salient lines of inquiry appear to concern sex as a substitute among substance use service users, 13th stepping/sexual activity among recovery support group attendees, multi-addictions, pornography as a replacement for substance use (including during the COVID-19 pandemic), and hypersexual disorder in the context of bariatric surgery. Summary: Further focused research is needed, including the use of qualitative and mixed methods studies, larger representative samples, and more robust study designs. [ABSTRACT FROM AUTHOR]

Background: Attentional biases towards reward stimuli have been implicated in substance use-related problems. The value-modulated attentional capture (VMAC) task assesses such reward-related biases. The VMAC task widely used in lab studies tends to be monotonous and susceptible to low effort. We therefore tested a gamified online version of the VMAC that aimed to increase participant engagement. Our goal was to examine how VMAC is associated with substance use-related problems and addictive behaviors, and whether this association is moderated by cognitive control. Methods: We recruited 285 participants from an online community, including heavy alcohol users. All participants completed a novel gamified version of the VMAC task, measures of substance use and addictive behaviors (addictive-like eating behavior, problematic smartphone use), the WebExec measure of problems with executive functions, and the Stroop Adaptive Deadline Task (SDL) as a measure of cognitive control. Results: The gamified VMAC task successfully identified value-modulated attentional capture effects towards high-reward stimuli. We found no significant associations between VMAC scores, problematic alcohol or cannabis use, addictive behaviors, or any moderation by a behavioral measure of cognitive control. Exploratory analyses revealed that self-reported cognitive problems were associated with more alcohol-, and cannabis-related problems, and addictive behaviors. Greater attentional capture (VMAC) was associated with more cannabis use-related problems among individuals with higher levels of self-reported cognitive problems. Conclusions: Our study is one of the first to demonstrate the utility of the gamified version of the VMAC task in capturing attentional reward biases. Self-reported problems with cognitive functions represent a key dimension associated with substance use-related problems and addictive behaviors.

Background: Few studies have investigated changes in brain structure and function associated with recovery from cocaine use disorder (CUD), and fewer still have identified brain changes associated with specific CUD treatments, which could inform treatment development and optimization. Methods: In this longitudinal study, T1-weighted magnetic resonance imaging scans were acquired from 41 methadone-maintained individuals with CUD (15 women) at the beginning of and after 12 weeks of outpatient treatment. As part of a larger randomized controlled trial, these participants were randomly assigned to receive (or not) computer-based training for cognitive behavioral therapy (CBT4CBT), and galantamine (or placebo). Results: Irrespective of treatment condition, whole-brain voxel-based morphometry analyses revealed a significant decrease in right caudate body, bilateral cerebellum, and right middle temporal gyrus gray matter volume (GMV) at post-treatment relative to the start of treatment. Subsequent region of interest analyses found that greater reductions in right caudate and bilateral cerebellar GMV were associated with higher relative and absolute levels of cocaine use during treatment, respectively. Participants who completed more CBT4CBT modules had a greater reduction in right middle temporal gyrus GMV. Conclusions: These results extend previous findings regarding changes in caudate and cerebellar GMV as a function of cocaine use and provide the first evidence of a change in brain structure as a function of engagement in digital CBT for addiction. These data suggest a novel potential mechanism underlying how CBT4CBT and CBT more broadly may exert therapeutic effects on substance-use-related behaviors through brain regions implicated in semantic knowledge.

Abstract Background The Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) is a consistent and comprehensive instrument to assess symptoms of specific internet-use disorders including those related to gaming, shopping, pornography use disorder, social networks use and gambling considering criteria in the eleventh revision of the International Classification of Diseases (ICD-11). However, to date, there is little evidence supporting instruments assessing major types of specific internet use disorders in Thailand. The aim of this present study was to assess the psychometric properties of the ACSID-11 among Thai young adults. Methods A total of 612 participants were recruited. A confirmatory factor analysis (CFA) examined construct validity of the ACSID-11. Cronbach’s α and McDonald’s ω were used to assess reliability of the ACSID-11. Pearson correlations examined relationships between ACSID-11 domains and Internet Gaming Disorder Scale—Short Form (IGDS9-SF) scores. Results The CFA supported validity of the Thai version of the ACSID-11 and a four-factor structure. Specific domains of the Thai ACSID-11, particularly gaming, were positively and significantly correlated with IGDS9-SF scores. Conclusions Data indicate that the Thai version of the ACSID-11 is a valid and reliable instrument to assess major types of specific internet use disorders. Additional studies are needed to further examine the validity and reliability of the Thai ACSID-11.

Background: This study was a narrative review on prevention of addictive behaviors with an effort to clarify the major concepts of prevention and its dimensions. Methods: The PsycInfo and MedInfo databases were used to identify prevention. Α total of 65 articles were found 46 of which were included in the review. Τhe data were analyzed using content analysis. Findings: For a better understanding of the results, it was deemed advisable to categorize them into: (a) the types of major interventions and the theoretical approaches on which they were based, (b) the results of the review articles according to (1) variables and factors concerning the prevention proved important through the review and (2) a number of more general important topics which arose in the prevention of addictive behaviors. Conclusion: The results highlighted the greater effectiveness of community-based programs, applied primarily in broader contexts but also secondarily in high-risk groups. Τhe results were discussed based on the combination of the emerged factors with each other and prevention experience.

IntroductionWe all experience occasional self-control failures (SCFs) in our daily lives, where we enact behaviors that stand in conflict with our superordinate or long-term goals. Based on the assumption that SCFs share common underlying mechanisms with addictive disorders, we tested the hypothesis that a generally higher susceptibility to daily SCFs predicts more addictive behavior, or vice versa.MethodsAt baseline, 338 individuals (19–27 years, 59% female) from a community sample participated in multi-component assessments. These included among others (1) a clinical interview on addictive behaviors (quantity of use, frequency of use, DSM-5 criteria; n = 338) and (2) ecological momentary assessment of SCFs (n = 329, 97%). At the 3-year and 6 year follow-up, participation rates for both assessment parts were 71% (n = 240) and 50% (n = 170), respectively.ResultsControlling for age, gender, IQ, and baseline addiction level, random-intercept cross-lagged panel models revealed that participants who reported more SCFs also showed pronounced addictive behavior at the between-person level, but we found no evidence of a predictive relationship at the within-person level over time.DiscussionA higher rate of SCFs is associated with more addictive behavior, while there is no evidence of an intraindividual predictive relationship. Novel hypotheses suggested by additional exploratory results are that (1) only addiction-related SCFs in daily life are early markers of an escalation of use and thus for addictive disorders and that (2) an explicit monitoring of SCFs increases self-reflection and thereby promotes the mobilization of cognitive control in response to goal-desire conflicts.

Background and aimsThe Incentive Sensitization Theory (IST) offers a comprehensive framework that explains how attentional mechanisms contribute to the maintenance and relapse of addictive behavior. However, the extent to which the underlying neuropsychological mechanisms are consciously accessible for report remains unknown. Thus, the aim of this study was to investigate the association between self-reported wanting and liking among smokers and its relationship with detecting changes in smoking-related stimuli.DesignAn online experiment was designed deploying a flicker paradigm with neutral and smoking-related changes, completed by 422 individuals (mean age = 29.1 years, 214 non-smokers, 123 current smokers, and 85 former smokers). Additionally, the Fagerström Test for Cigarette Dependence and the Imaginative Wanting and Liking Questionnaire were administered.FindingsConsistent with prior research findings, smokers exhibited faster detection of smoking-related changes compared to non-smokers, while former smokers displayed an intermediate level of attentional bias, falling between the levels observed in smokers and non-smokers. Further, higher levels of nicotine dependence were associated with a greater discrepancy between self-reported wanting and liking, which was associated with better change detection performance for high salience smoking-related stimuli in smokers.ConclusionThese findings support the predictions of IST and support the notion that attentional bias might develops early in the course of nicotine addiction. Furthermore, the results indicate that the underlying cognitive mechanisms might be partially within conscious awareness, which opens up potential avenues for research design, treatment, and interventions.

Homelessness is associated with multiple risk factors for neurocognitive impairment. Past research with people experiencing homelessness has described “frontal lobe” dysfunction including behavioral disorders and executive cognitive impairments. In the current study, 72 adults experiencing homelessness were assessed with a standardized assessment of executive function, and interviewed regarding neurological and psychiatric history. When compared to a control sample of 25 never-homeless participants, and controlling for level of education, there was little evidence for executive dysfunction in the sample of people experiencing homelessness. Levels of substance abuse, past head injury, and post-traumatic stress disorder were notably high. However, there were no statistically significant associations between cognitive task performance and clinical or substance abuse variables. Gambling was surprisingly infrequent, but risk-taking behavior among intravenous drug users was common. Though in neither case was it linked to executive function. Overall, there was little evidence for executive impairment in this sample of people experiencing homelessness. I suggest that past research has often used inappropriate criteria for “normal” performance, particularly comparing people experiencing homelessness to control data of relatively high education level. This has led to elements of “frontal lobology,” that is, clinical neuroscience research that tends to overly link non-typical or pathological behavior to frontal lobe impairment. When appropriate comparisons are made, controlling for education level, as in this study, associations between executive function impairments and adult homelessness may be weaker than previously reported. [ABSTRACT FROM AUTHOR]