METHODS: A series of online meetings were conducted by the lead author (PK) and the SMART Recovery International Executive Officer (KM), with representatives from the SMART Recovery National Offices in the Ireland (DO), United States (MR), Australia (RM), and Denmark (BSH, DA), and the United Kingdom (AK). The meetings focused on discussing the impacts of COVID-19 on SMART Recovery in each of the regions.
RESULTS: As a result of restrictions to prevent the transmission of COVID-19, the vast majority of SMART Recovery face-to-face meetings were required to cease globally. To ensure people still had access to AOD mutual support, SMART Recovery rapidly scaled up the provision of online groups. This upscaling has increased the number of groups in countries that had previously provided a limited number of online meetings (i.e., United States, England, Australia), and has meant that online groups are available for the first time in Denmark, Ireland, Hong Kong, Spain, Malaysia and Brazil.
DISCUSSION: Whilst the urgent and rapid expansion of online groups was required to support people during the pandemic, it has also created an opportunity for the ongoing availability of online mutual support post-pandemic. The challenge for the research community is to critically evaluate the online delivery of mutual support groups, to better understand the mechanisms through which they may work, and to help understand the experience of people accessing the groups.
METHODS: Three community-based surveys were conducted from 2011 to 2015. In the first and second surveys (2011 and 2012) a total of 1,118 male respondents comprising 355 regular kratom users, 171 occasional kratom users, 66 ex-users, and 592 non-users aged 25 or above, were recruited from 40 villages. All respondents were followed up in this study. However, not all respondents were successfully followed up throughout the entire set of studies.
RESULTS: Common health complaints were no more common among kratom users than ex- and non-users, but more regular than occasional users claimed kratom to be addictive. Those with high kratom dependence scores were more likely to experience intense withdrawal symptoms, which developed 1-12 h after the last kratom intake. Over half (57.9%) of regular users had experienced intoxication effects compared to only 29.3% of occasional users. Kratom users were less likely to have a history of chronic diseases such as diabetes, hypertension, dyslipidemia than ex- and non-users.
CONCLUSION: Regular long-term chewing of fresh kratom leaves was not related to an increase in common health complaints, but may pose a drug dependence risk. Severe kratom dependents were more likely to suffer from intense withdrawal symptoms. Medical records revealed no death due to traditional kratom use, but the high prevalence of tobacco or/and hand rolled cigarette smoking among kratom users should be of concern.
RECENT FINDINGS: Evidence from previous studies highlights the association between digital addiction and loneliness among adolescents. Overusing digital devices among adolescents is also associated with various physical and psychological side effects.
SUMMARY: Recent findings support the rapid rise of digital device usage among adolescents and its contributions to digital use. More research is needed to support existing interventions, provide early screening, and combat digital addiction to protect adolescents from the risks of loneliness due to the overuse of digital devices.
RECENT FINDINGS: Definition of EIU and its conceptualization still requires refinement. Recent studies indicate a changing trend towards female predominance of EIU. Women also differ in their internet use compared with men regarding their preference in the internet content and online activities, motives of use and factors related to access to the internet, including the device, sociocultural restrictions, etc. The correlates and sequelae of EIU encompass psychological, physical, biological, family and social domains that could form the basis of identifying individuals at risk and strategizing treatment.
SUMMARY: The findings indicate the need for standardization in definition and measures of EIU for better recognition of EIU and identification of its at-higher-risk females. Effective preventive and treatment measures are still limited by various methodology flaws outlined here.
METHODS: In total, 60 regular kratom users and 50 healthy control-group participants were recruited and administered a sociodemographic and clinical characteristics questionnaire. While participants who used kratom were also administered a kratom use characteristics questionnaire. Blood samples were collected from all participants, and targeted ER stress sensor protein expression was determined via Western blot analysis.
RESULTS: The study's findings revealed first that kratom users registered significantly higher protein expression in all targeted ER stress sensors compared to the control group. Second, higher protein expression of CHOP (B = 5.061, standard error [SE] = 2.547, Wald = 3.948, adjusted odds ratio [AOR] = 5.382, 95% confidence interval [CI] = 1.071 to 9.656, p = 0.047) and p-JNK (B = 5.795, SE = 2.635, Wald = 4.544, AOR = 17.025, 95% CI = 1.395 to 24.123, p = 0.017) increased the odds of kratom use disorder occurrence. Kratom use characteristics and other ER stress sensor protein expression were not associated with kratom use disorder.
CONCLUSION: Regular kratom use may induce protracted ER stress, leading to the decompensation of the unfolded protein response to maintain ER homeostasis. This effect may be linked to kratom use disorder occurrence.
OBJECTIVE: In an attempt to understand this relationship, this study aimed to carry out an investigation on online intervention features for effective management of Facebook addiction in higher education.
METHODS: This study was conducted quantitatively using surveys and partial least square-structural equational modeling. The study involved 200 postgraduates in a Facebook support group for postgraduates. The Bergen Facebook Addiction test was used to assess postgraduates' Facebook addiction level, whereas online intervention features were used to assess postgraduates' perceptions of online intervention features for Facebook addiction, which are as follows: (1) self-monitoring features, (2) manual control features, (3) notification features, (4) automatic control features, and (5) reward features.
RESULTS: The study discovered six Facebook addiction factors (relapse, conflict, salience, tolerance, withdrawal, and mood modification) and five intervention features (notification, auto-control, reward, manual control, and self-monitoring) that could be used in the management of Facebook addiction in postgraduate education. The study also revealed that relapse is the most important factor and mood modification is the least important factor. Furthermore, findings indicated that notification was the most important intervention feature, whereas self-monitoring was the least important feature.
CONCLUSIONS: The study's findings (addiction factors and intervention features) could assist future developers and educators in the development of online intervention tools for Facebook addiction management in postgraduate education.
METHODS: A total of 29 international experts with clinical and/or research experience in GD completed three iterative rounds of a Delphi survey. Experts rated proposed criteria in progressive rounds until a pre-determined level of agreement was achieved.
RESULTS: For DSM-5 IGD criteria, there was an agreement both that a subset had high diagnostic validity, clinical utility and prognostic value and that some (e.g. tolerance, deception) had low diagnostic validity, clinical utility and prognostic value. Crucially, some DSM-5 criteria (e.g. escapism/mood regulation, tolerance) were regarded as incapable of distinguishing between problematic and non-problematic gaming. In contrast, ICD-11 diagnostic guidelines for GD (except for the criterion relating to diminished non-gaming interests) were judged as presenting high diagnostic validity, clinical utility and prognostic value.
CONCLUSIONS: This Delphi survey provides a foundation for identifying the most diagnostically valid and clinically useful criteria for GD. There was expert agreement that some DSM-5 criteria were not clinically relevant and may pathologize non-problematic patterns of gaming, whereas ICD-11 diagnostic guidelines are likely to diagnose GD adequately and avoid pathologizing.
METHODS: A cross-sectional study was conducted among 323 medical students in Universiti Sains Malaysia. The students were given questionnaire forms consisting of socio-demographic information, the SAS-M and the Malay version of the Internet Addiction Test (MVIAT). The CFA was conducted using robust maximum likelihood estimator. The internal consistency reliability was determined by Raykov's rho coefficient. The concurrent validity was assessed by the Pearson's correlations between the factor scores of the SAS-M and the MVIAT.
RESULTS: The analysis showed the five-factor model of the SAS-M has an acceptable model fit after the inclusion of 12 correlated errors (SRMR = 0.067, RMSEA 0.059 (90% CI: 0.054, 0.065), CFI = 0.895, TLI = 0.882). The factor loadings ranged from 0.320 to 0.875. The internal consistency reliability was good (Raykov's rho = 0.713 to 0.858) and it showed good concurrent validity with the MVIAT.
CONCLUSIONS: The CFA showed that the SAS-M is a valid and reliable self-administered questionnaire to measure the level of smartphone addiction among medical students.
METHODS: In this cross-sectional study, 300 young adult women from Romania with mean age of 22.19 years (SD = 2.07) and who possessed an Instagram account were asked to complete an online survey consisting of measures of dysmorphic concerns, Instagram addiction, and appearance-based rejection sensitivity.
RESULTS: Correlational analyses revealed that all three variables were positively and moderately inter-correlated. Mediation analysis supported the hypothesis that appearance-based rejection sensitivity mediates the relationship between Instagram addiction and dysmorphic concerns.
CONCLUSIONS: Implications of this study are discussed in terms of the urgency of prevention and intervention strategies, especially given the link between dysmorphic concerns and more extreme manifestations of severity, such as body dysmorphic disorder.
OBJECTIVES: This study sought to clarify the relationship between early trauma, dissociative experience, and suicide ideation as predictive factors of active and passive addiction potential (A/PAP) in high-school students.
PATIENTS AND METHODS: Three hundred students with the mean age of 15.72 y were selected via multistage random sampling. All participants were asked to complete Iranian addiction potential scale, early trauma inventory, dissociative experiences scale, and Beck's suicide ideation scale. Analyzing data was done using canonical correlation.
RESULTS: Structural coefficients showed that the pattern of high scores in A/PAP correlates with the pattern of high scores in early trauma, dissociative experience and suicide ideation. The findings of the study showed that the combination of low A/PAP can probably decrease the likelihood of early trauma, dissociative experience and suicide ideation.
CONCLUSIONS: Early trauma, dissociative experience, and suicide ideation can predict A/PAP and explain the considerable variance of survival index.