Normative, Passionate, or Problematic? Identification of Adolescent Gamer Subtypes Over Time

Background and aims: For most youngsters, gaming is a fun and innocent leisure activity. However, some adolescents are prone to develop problematic gaming behavior. It is therefore important to have a comprehensive understanding of psychosocial and game-related characteristics that differentiate highly engaged gamers from problematic gamers. To that end, this study evaluated the stability and consistency of Internet gaming criteria (as suggested by the DSM-5) and psychosocial characteristics in a two-wave longitudinal study including 1928 young adolescents (mean age = 13.3 years, SD = 0.91, 57% boys). Methods: A confirmatory factor analysis revealed good stability of the Internet gaming disorder (IGD) construct over time. Latent class analyses revealed three classes for boys (recreational, engaged, and problematic) and two classes for girls (recreational and engaged). Results: Significant differences between classes emerged for problem criteria (conflict and problems in social life), gaming duration, impulsivity, social competence, and attention/hyperactivity. The absence of a problematic gaming class for girls suggests that girls are less likely to develop problematic gaming behavior. Discussion: The IGD criteria as proposed by the DSM-5 are a helpful tool to identify problematic gamers, although the results of this study suggest that using a strict cut-off point might result in false positives, particularly for boys. Problem criteria appeared to be the most sensitive and specific in identifying the problematic gamer, whereas escapism criteria were the least specific and sensitive. Careful consideration of the current proposed criteria to identify problematic gaming behavior could benefit the research and clinical field

How effective is the online intervention 'Master your Smartphone' in preventing problematic smartphone use among students?

Background: Although there is increasing evidence for the negative impact of problematic smartphone use on students’ academic achievements, there are hardly any intervention programs aiming at the prevention of problematic smartphone use among students. The online intervention ‘Master your smartphone’, developed by Utrecht University, aims to reduce problematic smartphone use and smartphone use that is interfering with academic tasks in university students. Method: A Clustered Randomized Trial was conducted to investigate if the online module is effective in reducing problematic smartphone use and smartphone use during academic tasks. Twelve classes of first-year university students (N = 248; M = 18.8, SD = 1.41) were randomly assigned to either the experimental or the control condition. In the experimental condition, students followed the intervention module ‘Master your smartphone’, in the control condition students followed a general time management module. Data were collected at three time points, 1 month before the intervention (pre-test), during the intervention, and 3 months after the intervention (post-test). Results: The intervention was effective in decreasing symptoms of problematic smartphone use among students, but there was no evidence that the intervention limited smartphone use during academic tasks. Additional analyses indicated that the impact of the intervention on symptoms of problematic use was moderated by treatment integrity, i.e., students who scored higher on intervention responsiveness were more likely to benefit from the intervention than students who scored low. Conclusion: The online intervention ‘Master your smartphone’ seems an effective tool to prevent smartphone addiction symptoms in students

Examination of risk exposure models during COVID-19 in relation to youth life satisfaction and internalizing symptoms

This study examined mediation of a negative COVID-impact on the relationship between risk exposure, and life satisfaction and internalizing symptoms in youth (aged 9-18). Four operationalizations of risk exposure were applied; an Additive versus a Cumulative Risk Model (ARM and CRM), risk clusters and the most salient risk factors. Results showed that a stronger negative COVID-impact is related to lower life satisfaction, more internalizing symptoms and higher additive and cumulative risk. ARM and CRM's effect on lower life satisfaction is mediated through negative COVID-impact, though not for internalizing symptoms. Clusters of risk factors and risk factors within clusters significantly related to a stronger negative COVID-impact are the clusters 'Individual factors' (low self-control), 'Parenting' (negative mother-child interaction and low parental responsiveness), 'Maternal mental health' and 'Demographic factors' (low SES and high paternal education). From all significant risk factors, low self-control, low parental responsiveness, negative mother-child interaction and low SES were most salient

Developmental Alcohol-Specific Parenting Profiles in Adolescence and their Relationships with Adolescents’ Alcohol Use

Previous studies on general parenting have demonstrated the relevance of strict parenting within a supportive social context for a variety of adolescent behaviors, such as alcohol use. Yet, alcohol-specific parenting practices are generally examined as separate predictors of adolescents’ drinking behavior. The present study examined different developmental profiles of alcohol-specific parenting (rule-setting, quality and frequency of communication about alcohol use) and how these patterns relate to the initiation and growth of adolescents’ drinking. A longitudinal sample of 883 adolescents (47 % female) including four measurements (between ages 12 and 16) was used. Latent class growth analysis revealed that five classes of parenting could be distinguished. Communication about alcohol appeared to be fairly stable over time in all parenting classes, whereas the level of rule-setting declined in all subgroups of parents as adolescents grow older. Strict rule-setting in combination with a high quality and frequency of communication was associated with the lowest amount of drinking; parents scoring low on all these behaviors show to be related to the highest amount of drinking. This study showed that alcohol-specific rule-setting is most effective when it coincides with a good quality and frequency of communication about alcohol use. This indicates that alcohol-specific parenting behaviors should be taken into account as an alcohol-specific parenting context, rather than single parenting practices. Therefore, parent-based alcohol interventions should not only encourage strict rule setting, the way parents communicate with their child about alcohol is also of major importance

The impact of heavy and disordered use of games and social media on adolescents’ psychological, social, and school functioning

Aim To extend the scholarly debate on (a) whether or not the compulsive use of games and social media should be regarded as behavioral addictions (Kardefelt-Winther et al., 2017) and (b) whether the nine DSM-5 criteria for Internet gaming disorder (IGD; American Psychiatric Association [APA], 2013) are appropriate to distinguish highly engaged, non-disordered users of games and social media from disordered users, this study investigated the impact of engaged and disordered use of games and social media on the psychosocial well-being and school performances of adolescents. Methods As part of the Digital Youth Project of the University of Utrecht, a three-wave longitudinal sample of 12- to 15-year-old adolescents (N = 538) was utilized. Three annual online measurements were administered in the classroom setting, including IGD, social media disorder, life satisfaction, and perceived social competence. Schools provided information on students’ grade point average. Results The symptoms of disordered use of games and social media showed to have a negative effect on adolescent’s life satisfaction, and the symptoms of disordered gaming showed a negative impact on adolescents’ perceived social competence. On the other hand, heavy use of games and social media predicted positive effects on adolescents’ perceived social competence. However, the heavy use of social media also predicted a decrease in school performances. Several gender differences in these outcomes are discussed. Conclusion The findings propose that symptoms of disordered use of games and social media predict a decrease in the psychosocial well-being and school performances of adolescents, thereby meeting one of the core criteria of behavioral addictions

Bidirectional effects of Internet-specific parenting practices and compulsive social media and Internet game use

Introduction This two-wave prospective study investigated the bidirectional relation between Internet-specific parenting (reactive restrictions, Internet-specific rules, and frequency and quality of communication about Internet) and adolescents’ symptoms of social media disorder (SMD) and Internet gaming disorder (IGD). In addition, we investigated whether this relation was different for boys and girls. Methods A sample of 352 adolescents (48.9% boys, Mage = 13.9, SDage = 0.74, range: 11–15) completed questionnaires at two waves. Zero-inflated cross-lagged analyses in Mplus were performed to predict the level of IGD and SMD symptoms by Internet-specific parenting practices and vice versa, while controlling for age, level of education, and outcome at T1. Results More frequent parent–adolescent communication about Internet predicted more IGD (β = 0.26, p = .03) and SMD symptoms among boys, and more restrictive rules predicted fewer SMD symptoms among girls (β = −0.23, p = .08). More IGD symptoms predicted more reactive rules (β = 0.20, p = .08) among boys and girls and a higher frequency (β = 0.16, p = .02) and lower quality of communication (β = −0.24, p < .001) among boys and girls, respectively. Conclusions This study demonstrates bidirectional relations between Internet-specific parenting and IGD symptoms, but not SMD symptoms. Displaying IGD symptoms seems to elicit ineffective parental responses, which may further exacerbate problematic involvement in gaming. With respect to problematic social use media among girls, this study suggests that parents should set strict rules regarding Internet use, prior to problematic use of social media. Longitudinal studies on the role of parenting in development of Internet-related disorders would be promising in enhancing our understanding of how parents can effectively prevent problematic involvement in online behaviors among their children

A Qualitative Study on Children's Digital Media Use and Parents' Self-interest

This qualitative study provides insight into the role of parents' self-interest in digital media use of children in different age groups. We conducted 31 semi-structured interviews with fathers/mothers of children aged 3-16 years who were recruited via targeted sampling. A deductive and inductive content analysis was applied. Results show that parents' self-interest in letting children use digital media includes being able to do other tasks without being bothered, having some me-time, managing children's behavior, avoiding discussions, having moments to use digital media themselves and spending quality-time together. In addition, we found that the manner in which parents let children use digital media out of self-interest seems to depend on age. With younger children, parents initiate digital media use or set times at which children are allowed to use digital media. With older children, parents use a passive manner by omitting restrictive responses to their children's media use. Current findings can be used to inform interventions aimed at reducing children's screen time

Validation of the Social Media Disorder Scale in Adolescents: Findings From a Large-Scale Nationally Representative Sample

Large-scale validation research on instruments measuring problematic social media use (SMU) is scarce. Using a nationally representative sample of 6,626 Dutch adolescents aged 12 to 16 years, the present study examined the psychometric properties of the nine-item Social Media Disorder scale. The structural validity was solid, because one underlying factor was identified, with adequate factor loadings. The internal consistency was good, but the test information was most reliable at moderate to high scores on the scale's continuum. The factor structure was measurement invariant across different subpopulations. Three subgroups were identified, distinguished by low, medium, and high probabilities of endorsing the criteria. Higher levels of problematic SMU were associated with higher probabilities of mental, school, and sleep problems, confirming adequate criterion validity. Girls, lower educated adolescents, 15-year-olds, and non-Western adolescents were most likely to report problematic SMU. Given its good psychometric properties, the scale is suitable for research on problematic SMU among adolescents

A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data

The use of smartphone-based location data to quantify behavior longitudinally and passively is rapidly gaining traction in neuropsychiatric research. However, a standardized and validated preprocessing framework for deriving behavioral phenotypes from smartphone-based location data is currently lacking. Here, we present a preprocessing framework consisting of methods that are validated in the context of geospatial data. This framework aims to generate context-enriched location data by identifying stationary, non-stationary, and recurrent stationary states in movement patterns. Subsequently, this context-enriched data is used to derive a series of behavioral phenotypes that are related to movement. By using smartphone-based location data collected from 245 subjects, including patients with schizophrenia, we show that the proposed framework is effective and accurate in generating context-enriched location data. This data was subsequently used to derive behavioral readouts that were sensitive in detecting behavioral nuances related to schizophrenia and aging, such as the time spent at home and the number of unique places visited. Overall, our results indicate that the proposed framework reliably preprocesses raw smartphone-based location data in such a manner that relevant behavioral phenotypes of interest can be derived

Analysis of a simulated microarray dataset: Comparison of methods for data normalisation and detection of differential expression (Open Access publication)

Microarrays allow researchers to measure the expression of thousands of genes in a single experiment. Before statistical comparisons can be made, the data must be assessed for quality and normalisation procedures must be applied, of which many have been proposed. Methods of comparing the normalised data are also abundant, and no clear consensus has yet been reached. The purpose of this paper was to compare those methods used by the EADGENE network on a very noisy simulated data set. With the a priori knowledge of which genes are differentially expressed, it is possible to compare the success of each approach quantitatively. Use of an intensity-dependent normalisation procedure was common, as was correction for multiple testing. Most variety in performance resulted from differing approaches to data quality and the use of different statistical tests. Very few of the methods used any kind of background correction. A number of approaches achieved a success rate of 95% or above, with relatively small numbers of false positives and negatives. Applying stringent spot selection criteria and elimination of data did not improve the false positive rate and greatly increased the false negative rate. However, most approaches performed well, and it is encouraging that widely available techniques can achieve such good results on a very noisy data set