3 resultados para School adolescents
em Scielo España
Resumo:
Cybercrime is a growing and worrisome problem, particularly when it involves minors. Cyber-aggression among adolescents in particular can result in negative legal and psychological consequences for people involved. Therefore, it is important to have instruments to detect these incidents early and understand the problem to propose effective measures for prevention and treatment. This paper aims to design a new self-report, the Cyber-Aggression Questionnaire for Adolescents (CYBA), to evaluate the extent to which the respondent conducts aggressions through a mobile phone or the internet and analyse the factorial and criterion validity and reliability of their scores in a sample of adolescents from Asturias, Spain. The CYBA was administered to 3,148 youth aged between 12 and 18 years old along with three self-reports to measure aggression at school, impulsivity, and empathy. Regarding factorial validity, the model that best represents the structure of the CYBA consists of three factors (Impersonation, Visual-sexual Cyber-aggression, and Verbal Cyber-aggression and Exclusion) and four additional indicators of Visual Cyber-aggression-Teasing/Happy Slapping. Regarding criterion validity, the score on the CYBA correlates positively with aggression at school and impulsivity and negatively with empathy. That is the way cyber-aggression correlates with these three variables, according to previous empirical evidence. The reliability of the scores on each item and factor of the CYBA are adequate. Therefore, the CYBA offers a valid and reliable measure of cyber-aggression in adolescents.
Resumo:
Adolescence is a developmental period that implies a series of rapid changes that might complicate the role of parents. This study evaluates changes in parental monitoring and the strategies to solve family conflicts reported by parents who participated in the "Living Adolescence in Family" program in local social services and school centers. In addition, the study analyses the moderating role of family and facilitator variables that may affect the final results. The participants were 697 parents attending the social services (438 in the intervention group and 259 in the control group) and 1283 parents from school centers (880 in the intervention group and 403 in the control group). The results showed that families from local social services decreased the amount of control and improved monitoring in education and leisure spheres as well as self-disclosure whereas the families coming from school centers improved supervision in leisure and in self-disclosure. In addition, both groups of families improved their strategies for solving family conflicts, increasing the use of integrative strategies and decreasing the use of dominant strategies. There were differences across contexts: the results of the program in the social services context differed according to the participant and professional profiles whereas program results were more homogeneous in the school context. In sum, the program appears to be an efficient work tool, both for the professionals who work with at-risk families with adolescents and for the teachers who make use of the program for families with children at risk of early school dropout.
Resumo:
Background: The different body components may contribute to the development of insulin resistance and type 2 diabetes mellitus. The aim of the present study was to examine the association of fat mass and fat free mass indices with markers of insulin resistance, independently of each other and giving, at the same time, gender-specific information in a wide cohort of European adolescents. Methods: A cross-sectional study in a school setting was conducted in 925 (430 males) adolescents (14.9 ± 1.2 years). Weight, height, anthropometric, bioimpedance and blood parameters were measured. Indices for fat mass and fat free mass, and homeostatic model assessment (HOMA) were calculated. Multiple regression analyses were performed adjusting for several confounders including fat free mass and fat mass when possible. Results: Indices of fat mass were positively associated with HOMA (all p < 0.01) after adjusting for all the confounders including fat free mass indices, in both sexes. Fat free mass indices were associated with HOMA, in both males and females, after adjusting for center, pubertal status, socioeconomic status and cardiorespiratory fitness, but the associations disappear when including fat mass indices in the adjustment's model. Conclusion: Fat mass indices derived from different methods are positively associated with insulin resistance independently of several confounders including fat free mass indices. In addition, the relationship of fat free mass with insulin resistance is influenced by the amount of fat mass in European adolescents. Nevertheless, future studies should focus not only on the role of fat mass, but also on other body components such as fat free mass because its role could vary depending of the level and distribution of fat mass.