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Parental mediation in the use of Information and Communication Technologies (ICTs) is a protective factor against adolescents' online risk behaviours. This study aimed to design an assessment scale of parental mediation referred by minors and to explore its structure and psychometric properties. A total of 560 secondary education students (47.5% girls) informed, in addition to parental mediation, about their habits of connection and online communication, privacy and risky online behaviour, and cyber-victimization. Data revealed a Parental Mediation Scale for ICTs (EMP-TIC) composed of 28 items distributed in five dimensions: active regulation, restrictive regulation, co-use, software monitoring and personal monitoring, which explain 55.98% of the variance. The dimensions of monitoring and co-use showed significant positive correlations with cyber-victimization. Higher scores in parental mediation are associated with greater privacy. The Parental Mediation Scale (EMP-TIC) structure is coherent to previous theoretical proposals. EMP-TIC shows adequate psychometric properties and provides information about the parental patterns in the use of ICTs. The scale can be used as a total score of parental mediation or for each of the five included domains. [ABSTRACT FROM AUTHOR]

This study is aimed at analysing the predictive power of different psychosocial and personality variables on the consumption or non-consumption of nicotine in a teenage population using different classifica-tion techniques from the field of Data Mining. More specifically, we ana-lyse ANNs - Multilayer Perception (MLP)' Radial Basis Functions (RBF) and Probabilistic Neural Networks (PNNs) -- decision trees, the logistic re-gression model and discriminant analysis. To this end, we worked with a sample of 2666 teenagers, 1378 of whom do not consume nicotine while 1288 are nicotine consumers. The models analysed were able to discrimi-nate correcdy between both types of subjects within a range of 77.39% to 78.20%, achieving 91.29% sensitivity and 74.32% specificity. With this study, we place at the disposal of specialists in addictive behaviours a set of advanced statistical techniques that are capable of simultaneously pro-cessing a large quantity of variables and subjects, as well as learning com-plex patterns and relationships automatically, in such a way that they are very appropriate for predicting and preventing addictive behaviour. [ABSTRACT FROM AUTHOR]

To evaluate the effectiveness of DiabeText, a low-intensity, multifaceted, mobile health (mHealth) intervention to support medication taking and lifestyle change targeted to people with type 2 diabetes (T2D). Phase III, 12-months, two-arm (1:1 allocation ratio), randomized parallel-group trial. We will recruit 740 adults with glycated hemoglobin (A1c) >8% (>64 mmol/mol) and with at least one prescription of a non-insulin antidiabetic drug. They will be allocated to a control (usual care) group or an intervention (DiabeText messaging intervention) group. The primary outcome measure will be A1c at 12 months follow-up. Secondary outcomes will include medication possession ratio and behavioral and psychological outcomes. Recent trials suggest that digital health interventions can effectively support diabetes self-management improving T2D control and reducing important T2D complications. In Spain this type of interventions is understudied. This trial will strengthen the evidence base of the impact of mHealth interventions to support diabetes self-management. If effective, DiabeText may offer a low-cost and highly scalable strategy to improve health at the population level in a sustainable way. ClinicalTrials.gov identifier NCT05006872 ; Official Title: Supporting People with Type 2 Diabetes in Effective Use of their Medicine Through a System Comprising Mobile Health Technology Integrated with Clinical Care. [ABSTRACT FROM AUTHOR]