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

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

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

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

The EADGENE Microarray Data Analysis Workshop (Open Access publication)

Microarray analyses have become an important tool in animal genomics. While their use is becoming widespread, there is still a lot of ongoing research regarding the analysis of microarray data. In the context of a European Network of Excellence, 31 researchers representing 14 research groups from 10 countries performed and discussed the statistical analyses of real and simulated 2-colour microarray data that were distributed among participants. The real data consisted of 48 microarrays from a disease challenge experiment in dairy cattle, while the simulated data consisted of 10 microarrays from a direct comparison of two treatments (dye-balanced). While there was broader agreement with regards to methods of microarray normalisation and significance testing, there were major differences with regards to quality control. The quality control approaches varied from none, through using statistical weights, to omitting a large number of spots or omitting entire slides. Surprisingly, these very different approaches gave quite similar results when applied to the simulated data, although not all participating groups analysed both real and simulated data. The workshop was very successful in facilitating interaction between scientists with a diverse background but a common interest in microarray analyses

Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes (Open Access publication)

A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data quality control, normalisation and statistical methods for the detection of differentially expressed genes in order to provide some more general data analysis guidelines. All the workshop participants were given a real data set obtained in an EADGENE funded microarray study looking at the gene expression changes following artificial infection with two different mastitis causing bacteria: Escherichia coli and Staphylococcus aureus. It was reassuring to see that most of the teams found the same main biological results. In fact, most of the differentially expressed genes were found for infection by E. coli between uninfected and 24 h challenged udder quarters. Very little transcriptional variation was observed for the bacteria S. aureus. Lists of differentially expressed genes found by the different research teams were, however, quite dependent on the method used, especially concerning the data quality control step. These analyses also emphasised a biological problem of cross-talk between infected and uninfected quarters which will have to be dealt with for further microarray studies