Impact of belantamab mafodotin-induced ocular toxicity on outcomes of patients with advanced multiple myeloma.

Belantamab mafodotin (BLMF) is a B-cell maturation antigen-directed antibody-drug conjugate, recently approved for advanced multiple myeloma (MM). The impact of BLMF-induced ocular toxicity on patient outcomes is unknown. We studied a cohort of 38 consecutively seen patients treated with BLMF outside of trials. Of those, 75% experienced ocular toxicity, with 69% developing keratopathy. Among patients requiring ocular toxicity-related permanent BLMF discontinuation (14%) or dose reduction (11%), 70% had progression of MM within a median of 3 months (95% confidence interval: 0.2-not reached) following BLMF interruption or dose reduction. Ocular toxicity is a major deterrent to the continuous use of BLMF in routine clinical practice. Measures to successfully prevent and mitigate ocular toxicity should be developed to achieve the full potential of this agent.

Greek version of the Internet Addiction Test: a validation study.

The aim of this project was to translate, culturally adapt and validate the Internet Addiction Test (IAT) in Greek adults. Twenty-one post-graduate medical students participated in the cultural adaptation procedure and 151 both post- and under-graduate medical students in the validation process. The internal consistency shown by a Cronbach's alpha was 0.91. Two-week test-retest reliability was rtt = 0.84, p < 0.001. Face validity was affirmed by 83.6 % of the students. In terms of convergent validity, the hours of daily internet use were positively correlated with IAT score (rho = 0.48, p < 0.001). Moreover, IAT scores were higher in students that reported use of online gambling (40.5 vs 29.2, p = 0.004), pornographic sites (36.5 vs 28.0, p = 0.003) and online games (35.6 vs 28.2, p = 0.009). Exploratory factor analysis revealed three interpretable factors for the IAT, "Psychological/Emotional Conflict", "Time Management" and "Neglect Work", that showed good internal consistency and concurrent validity, explaining 55.3 % of the variance. The Greek version of IAT has shown good psychometric properties, comparable with the original IAT and the previously published translated versions, and can be a useful tool in future studies on internet addiction.

Development and Differential Item Functioning of the Internet Addiction Test-Revised (IAT-R): An Item Response Theory Approach.

This study developed and investigated the differential item functioning (DIF) of the Internet Addiction Test-Revised (IAT-R) with an item response theory approach. In the Asian College Health Assessment (ACHA), 1,072 university students completed a survey in 2016-2017 school year. Confirmatory factor analysis models with robust maximum likelihood and diagonal weighted least square estimation methods were used to evaluate the construct validity of the 20-item IAT-R. Graded response model was used to produce categorical characteristic curves (CCCs), test characteristic curves (TCCs), item information function (IIF) curves, and test information function (TIF) curves for detecting DIF of the polytomous responses. Furthermore, DIF between genders was examined by ordinal logistic regression and Monte Carlo simulations. A first-order three-factor model was the most parsimonious model with normed fit index (NFI) of 0.915, non-normed fit index (NNFI) of 0.927, comparative fit index (CFI) of 0.937, and root mean square error of approximation (RMSEA) of 0.050. The emerged factors included Excessive Use and Neglect Work, Anticipation and Lack of Control, as well as Neglect Social Life and Salience. CCCs, TCCs, IIFs, and TIFs showed that all items were sensitive at moderate-to-high trait values. No nonuniform scale-level DIF relating to gender was determined. Under no DIF, the thresholds for proportional beta change exhibited a fairly steady trend (below 0.10) across items. In conclusion, IAT-R is a valid measurement scale of Internet addiction with measurement equivalence between genders being established.

Crosscultural Measurement Invariance of the Internet Addiction Test-Revised (IAT-R) Among Japanese and Filipino University Students.

This study investigated the measurement equivalence of the Internet Addiction Test-Revised (IAT-R) among university students. In the Asian College Health Assessment (ACHA), 200 Japanese and 348 Filipino university students completed a survey in 2016-2017 school year. Multiple-group confirmatory factor analysis was performed to examine the three hierarchical levels (configural, metric, and scalar) of measurement invariance. A first-order three-factor model with three domains, namely "Excessive Use, Lack of Control, and Neglect Work," "Anticipation and Salient," and "Neglect Social Life," emerged. The fit indices were 0.958 for comparative fit index (CFI) and 0.025 (0.017-0.034) for root mean square error of approximation (RMSEA) (confidence interval [90% CI]) in Japanese sample; and 0.962 for CFI and 0.068 (0.053-0.088) for RMSEA (90% CI) in Filipino sample. All three levels of measurement invariance between the two samples were established, with ΔCFI and ΔRMSEA not exceeding -0.01 and 0.015, respectively, for each increasing stringent level. The results indicated the measurement equivalence of IAT-R for assessing Internet addiction risks across cultural groups.

Cognitive behavior therapy with Internet addicts: treatment outcomes and implications.

Research over the last decade has identified Internet addiction as a new and often unrecognized clinical disorder that impact a user's ability to control online use to the extent that it can cause relational, occupational, and social problems. While much of the literature explores the psychological and social factors underlying Internet addiction, little if any empirical evidence exists that examines specific treatment outcomes to deal with this new client population. Researchers have suggested using cognitive behavioral therapy (CBT) as the treatment of choice for Internet addiction, and addiction recovery in general has utilized CBT as part of treatment planning. To investigate the efficacy of using CBT with Internet addicts, this study investigated 114 clients who suffered from Internet addiction and received CBT at the Center for Online Addiction. This study employed a survey research design, and outcome variables such as client motivation, online time management, improved social relationships, improved sexual functioning, engagement in offline activities, and ability to abstain from problematic applications were evaluated on the 3rd, 8th, and 12th sessions and over a 6-month follow-up. Results suggested that Caucasian, middle-aged males with at least a 4-year degree were most likely to suffer from some form of Internet addiction. Preliminary analyses indicated that most clients were able to manage their presenting complaints by the eighth session, and symptom management was sustained upon a 6-month follow-up. As the field of Internet addiction continues to grow, such outcome data will be useful in treatment planning with evidenced-based protocols unique to this emergent client population.

Merging Theoretical Models and Therapy Approaches in the Context of Internet Gaming Disorder: A Personal Perspective.

Although, it is not yet officially recognized as a clinical entity which is diagnosable, Internet Gaming Disorder (IGD) has been included in section III for further study in the DSM-5 by the American Psychiatric Association (APA, 2013). This is important because there is increasing evidence that people of all ages, in particular teens and young adults, are facing very real and sometimes very severe consequences in daily life resulting from an addictive use of online games. This article summarizes general aspects of IGD including diagnostic criteria and arguments for the classification as an addictive disorder including evidence from neurobiological studies. Based on previous theoretical considerations and empirical findings, this paper examines the use of one recently proposed model, the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, for inspiring future research and for developing new treatment protocols for IGD. The I-PACE model is a theoretical framework that explains symptoms of Internet addiction by looking at interactions between predisposing factors, moderators, and mediators in combination with reduced executive functioning and diminished decision making. Finally, the paper discusses how current treatment protocols focusing on Cognitive-Behavioral Therapy for Internet addiction (CBT-IA) fit with the processes hypothesized in the I-PACE model.

Psychometric properties of the Internet Addiction Test in Turkish.

Background and aims In this study, the Internet Addiction Test (IAT) was adapted to Turkish language, which was originally developed by Young (1998) in English to measure the presence and severity of the Internet dependency. The main purpose was to ensure that the psychometric features and the factor structure of the test were suitable for Turkish university students. Method The study was conducted in two sequent phases. Participants were 990 undergraduate students from several public universities in Turkey. Results In the first phase, an exploratory factor analysis (EFA) was applied to figure out the factor structure of the Turkish version of the IAT. The EFA revealed four factors, which explained 46.02% of the total variance. In the following phase, a confirmatory factor analysis (CFA) was conducted with a different sample, to verify the factor structure that was found in the initial EFA. The CFA resulted four-factor model was satisfactory for the Turkish version of the IAT. These four factors were named as Mood, Relationship, Responsibilities, and Duration. Conclusions Based on the findings, the administration of Turkish version of the IAT provided acceptable results on undergraduate students.

Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model.

Within the last two decades, many studies have addressed the clinical phenomenon of Internet-use disorders, with a particular focus on Internet-gaming disorder. Based on previous theoretical considerations and empirical findings, we suggest an Interaction of Person-Affect-Cognition-Execution (I-PACE) model of specific Internet-use disorders. The I-PACE model is a theoretical framework for the processes underlying the development and maintenance of an addictive use of certain Internet applications or sites promoting gaming, gambling, pornography viewing, shopping, or communication. The model is composed as a process model. Specific Internet-use disorders are considered to be the consequence of interactions between predisposing factors, such as neurobiological and psychological constitutions, moderators, such as coping styles and Internet-related cognitive biases, and mediators, such as affective and cognitive responses to situational triggers in combination with reduced executive functioning. Conditioning processes may strengthen these associations within an addiction process. Although the hypotheses regarding the mechanisms underlying the development and maintenance of specific Internet-use disorders, summarized in the I-PACE model, must be further tested empirically, implications for treatment interventions are suggested.

An empirical examination of client attitudes towards online counseling.

Trends over the past decade have shown that online counseling has grown in terms of popularity among consumers and clinicians alike; however, little, if any empirical evidence exists that examines client attitudes towards online counseling as alternative to traditional face-to-face therapy. Therefore, this study investigated client attitudes towards online counseling. Data was collected from 48 e-clients who received online counseling at the Center for Online Addiction. Variables such as client perceptions and concerns about using online counseling, clients' reasons for seeking online counseling over in-office treatment, and demographic profiles of e-clients were assessed. Results suggested that Caucasian, middle-aged males, with at least a four-year bachelors degree were most likely to use online counseling and anonymity, convenience, and counselor credentials were the most cited reasons they sought online counseling over in-office treatment. The lack of perceived privacy and security during online chat sessions and the fear of being caught while conducting online sessions were the main concerns reported by e-clients. A better understanding of client motives and perceptions towards online counseling helps to guide treatment in using the Internet as a clinical tool, especially as the Internet becomes increasingly more available in previously remote markets and the field of online counseling continues to grow.

Measurement Invariance of the Internet Addiction Test Among Hong Kong, Japanese, and Malaysian Adolescents.

There has been increased research examining the psychometric properties on the Internet Addiction Test (IAT) in different populations. This population-based study examined the psychometric properties and measurement invariance of the IAT in adolescents from three Asian countries. In the Asian Adolescent Risk Behavior Survey (AARBS), 2,535 secondary school students (55.9% girls) aged 12-18 years from Hong Kong (n=844), Japan (n=744), and Malaysia (n=947) completed a survey in 2012-2013 school year. A nested hierarchy of hypotheses concerning the IAT cross-country invariance was tested using multigroup confirmatory factor analyses. Replicating past findings in Hong Kong adolescents, the construct of the IAT is best represented by a second-order three-factor structure in Malaysian and Japanese adolescents. Configural, metric, scalar, and partial strict factorial invariance was established across the three samples. No cross-country differences on Internet addiction were detected at the latent mean level. This study provided empirical support for the IAT as a reliable and factorially stable instrument, and valid to be used across Asian adolescent populations.

Internet abuse in the workplace: new trends in risk management.

This paper empirically examines the effectiveness of emergent risk management practices that attempt to reduce and control employee Internet abuse and its potential for addiction. Over a 6-month period, 50 usable web-administered surveys were collected. Respondents ranged from human resource managers to company presidents. Data were stored in a database management system and analyzed utilizing statistical measures. Implementation levels of Internet use policies, management training, and clinical rehabilitation were examined and their level of perceived effectiveness to deter employee Internet abuse was evaluated. Organizational size and its impact on perceived effectiveness were also examined. This research will assist organizations in implementing effective corporate initiatives to improve employee Internet management practices. Limitations of the study and areas for future research are also explored.

Employee Internet management: current business practices and outcomes.

This paper empirically examines emergent business practices that attempt to reduce and control employee Internet misuse and abuse. Over a 6-month period, 52 web-administered surveys were collected. Respondents ranged from human resource managers to company presidents. Data were stored in a database management system and analyzed utilizing statistical measures. Monitoring efforts and policy development issues are examined against critical incidents of employee Internet abuse. The analysis also includes a rank ordering of the types of Internet applications that were perceived as most problematic or abused. Types of applications abused include electronic mail, adult web sites, online gaming, chat rooms, stock trading, and so on. Moreover, company size and years online are examined. Overall, this research will assist organizations in implementing effective corporate initiatives to improve employee Internet management practices.

Internet addiction: coping styles, expectancies, and treatment implications.

Internet addiction (IA) has become a serious mental health condition in many countries. To better understand the clinical implications of IA, this study tested statistically a new theoretical model illustrating underlying cognitive mechanisms contributing to development and maintenance of the disorder. The model differentiates between a generalized Internet addiction (GIA) and specific forms. This study tested the model on GIA on a population of general Internet users. The findings from 1019 users show that the hypothesized structural equation model explained 63.5% of the variance of GIA symptoms, as measured by the short version of the Internet Addiction Test. Using psychological and personality testing, the results show that a person's specific cognitions (poor coping and cognitive expectations) increased the risk for GIA. These two factors mediated the symptoms of GIA if other risk factors were present such as depression, social anxiety, low self-esteem, low self-efficacy, and high stress vulnerability to name a few areas that were measured in the study. The model shows that individuals with high coping skills and no expectancies that the Internet can be used to increase positive or reduce negative mood are less likely to engage in problematic Internet use, even when other personality or psychological vulnerabilities are present. The implications for treatment include a clear cognitive component to the development of GIA and the need to assess a patient's coping style and cognitions and improve faulty thinking to reduce symptoms and engage in recovery.

Prefrontal control and internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings.

Most people use the Internet as a functional tool to perform their personal goals in everyday-life such as making airline or hotel reservations. However, some individuals suffer from a loss of control over their Internet use resulting in personal distress, symptoms of psychological dependence, and diverse negative consequences. This phenomenon is often referred to as Internet addiction. Only Internet Gaming Disorder has been included in the appendix of the DSM-5, but it has already been argued that Internet addiction could also comprise problematic use of other applications with cybersex, online relations, shopping, and information search being Internet facets at risk for developing an addictive behavior. Neuropsychological investigations have pointed out that certain prefrontal functions in particular executive control functions are related to symptoms of Internet addiction, which is in line with recent theoretical models on the development and maintenance of the addictive use of the Internet. Control processes are particularly reduced when individuals with Internet addiction are confronted with Internet-related cues representing their first choice use. For example, processing Internet-related cues interferes with working memory performance and decision making. Consistent with this, results from functional neuroimaging and other neuropsychological studies demonstrate that cue-reactivity, craving, and decision making are important concepts for understanding Internet addiction. The findings on reductions in executive control are consistent with other behavioral addictions, such as pathological gambling. They also emphasize the classification of the phenomenon as an addiction, because there are also several similarities with findings in substance dependency. The neuropsychological and neuroimaging results have important clinical impact, as one therapy goal should enhance control over the Internet use by modifying specific cognitions and Internet use expectancies.

Epidemiology of internet behaviors and addiction among adolescents in six Asian countries.

Internet addiction has become a serious behavioral health problem in Asia. However, there are no up-to-date country comparisons. The Asian Adolescent Risk Behavior Survey (AARBS) screens and compares the prevalence of Internet behaviors and addiction in adolescents in six Asian countries. A total of 5,366 adolescents aged 12-18 years were recruited from six Asian countries: China, Hong Kong, Japan, South Korea, Malaysia, and the Philippines. Participants completed a structured questionnaire on their Internet use in the 2012-2013 school year. Internet addiction was assessed using the Internet Addiction Test (IAT) and the Revised Chen Internet Addiction Scale (CIAS-R). The variations in Internet behaviors and addiction across countries were examined. The overall prevalence of smartphone ownership is 62%, ranging from 41% in China to 84% in South Korea. Moreover, participation in online gaming ranges from 11% in China to 39% in Japan. Hong Kong has the highest number of adolescents reporting daily or above Internet use (68%). Internet addiction is highest in the Philippines, according to both the IAT (5%) and the CIAS-R (21%). Internet addictive behavior is common among adolescents in Asian countries. Problematic Internet use is prevalent and characterized by risky cyberbehaviors.

Treatment outcomes using CBT-IA with Internet-addicted patients.

BACKGROUND AND AIMS: Internet Gaming Disorder, a subtype of Internet Addiction, is now classified in Section 3 of the DSM-5. Cognitive behavioral therapy (CBT) has been suggested in treating Internet addiction as this modality has been shown to be an effective treatment for similar impulse control disorders. Given the daily and necessary use of the Internet and technology in general compared to other compulsive syndromes, a specialized form of CBT has been developed called Cognitive-Behavioral Therapy for Internet Addiction (CBT-IA). CBT-IA is a comprehensive three phase approach that includes behavior modification to control compulsive Internet use, cognitive restructuring to identify, challenge, and modify cognitive distortions that lead to addictive use, and harm reduction techniques to address and treat co-morbid issues associated with the disorder. METHODS: As the first model of its kind, this study examines 128 clients to measure treatment outcomes using CBT-IA. Clients were evaluated using the Internet Addiction Test (IAT) to classify subjects and were administered twelve weekly sessions of CBT-IA. Treatment outcomes were measured at the end of the twelve weeks, one-month, three months and at six month post-treatment. RESULTS: RESULTS showed that over 95% of clients were able to manage symptoms at the end of the twelve weeks and 78% sustained recovery six months following treatment. DISCUSSION AND CONCLUSIONS: RESULTS found that CBT-IA was effective at ameliorating symptoms associated with Internet addiction after twelve weekly sessions and consistently over one-month, three months, and six months after therapy. Further research implications such as investigating long-term outcome effects of the model with larger client populations and treatment differences among the subtypes of Internet addiction or with other cultural populations using CBT-IA are discussed.