Background: The COVID-19 outbreak has resulted in governments implementing disease containment measures such as school closures, social distancing, and home quarantine. To date, only a few studies have drawn attention to the psychological impact of lockdown on Italian children's mental health. The present study aimed to investigate the psychological distress (anxiety and mood symptoms) and changes in routine among Italian primary and middle school students during the COVID-19 quarantine. Methods: This qualitative interview study was performed between the 18th of May and 7th of June 2020: it involved a sample of 82 children and adolescents living in Milan (Italy), attending primary and middle school (aged 6 to 14 years), and their parents. Results: Almost 30% of the subjects reported having struggled to adjust to home learning. 36 responders completely changed their dietary habits during the lockdown: they were not eating the same amount of food and were consuming more junk food. Sleep habits were also affected by the lockdown measures: 28% of the sample had di culties sleeping and wished to sleep in their parents' bed. Concerning psychological distress, 64 (78%) children and adolescents had anxiety symptoms; 43.9% of the students reported signi cant mood symptoms. Conclusions: Children are not indifferent to the dramatic impact of the COVID-19 epidemic: our data con rm their di culties in adapting to the quarantine measures. The effects of stress exposure may not manifest later on during the children's development, and, for this reason, it would be interesting to follow up on these participants to improve our understanding of how long these outcomes may last.

Every day cognitive and experimental researchers attempt to find evidence in support of their hypotheses in terms of statistical differences or similarities among groups. The most typical cases involve quantifying the difference of two samples in terms of their mean values using the t statistic or other measures, such as Cohen's d or U metrics. In both cases the aim is to quantify how large such differences have to be in order to be classified as notable effects. These issues are particularly relevant when dealing with experimental and applied psychological research. However, most of these standard measures require some distributional assumptions to be correctly used, such as symmetry, unimodality, and well-established parametric forms. Although these assumptions guarantee that asymptotic properties for inference are satisfied, they can often limit the validity and interpretability of results. In this article we illustrate the use of a distribution-free overlapping measure as an alternative way to quantify sample differences and assess research hypotheses expressed in terms of Bayesian evidence. The main features and potentials of the overlapping index are illustrated by means of three empirical applications. Results suggest that using this index can considerably improve the interpretability of data analysis results in psychological research, as well as the reliability of conclusions that researchers can draw from their studies.

In two Bayesian meta-analyses, we investigated associations between Sensory Processing Sensitivity (SPS) and the Big Five personality traits (MA1) as well as both Positive and Negative Affect (MA2). Moderators were age and the three SPS subscales. In MA1 ( 8papers, 6,790 subjects), SPS in children correlated with Neuroticism (r = .42

Influences of different sources of social support (from parents and friends), school sense of community, and self-efficacy on psychosocial well being (as measured by self-reported life satisfaction and psychological symptoms) in early adolescence were investigated in an integrative model. The model was tested using structural equation modeling. Multi-group comparisons were used to estimate differences between sex and age groups. The survey sample was composed of 7,097 students in Northern Italy (51.4% male) divided into three age cohorts (equivalent to 6th, 8th, and 10th grades with median ages of 11, 13, and 15). Findings obtained using SEM were consistent with self-efficacy and school sense of community mediating effects of social support on psychosocial adjustment. The multi-group comparison indicates a need for more complex developmental models and more research on how changing forms of support interact with each other as their effects also change during this important stage of the life. Implications for primary prevention and cross-cultural comparisons are discussed.

This study used data collected from a sample of 840 Italian adolescents (418 boys; M age = 12.58) and their parents (657 mothers; M age = 43.78) to explore the relations between parenting, adolescent self-disclosure, and antisocial behavior. In the hypothesized model, parenting practices (e.g., parental monitoring and control) have direct effects on parental knowledge and antisocial behavior. Parenting style (e.g., parent-child closeness), on the other hand, is directly related to adolescent self-disclosure, which in turn is positively related to parental knowledge and negatively related to adolescents' antisocial behavior. A structural equation model, which incorporated data from parents and adolescents, largely supported the hypothesized model. Gender-specific models also found some gender differences among adolescents and parents, as the hypothesized model adequately fit the subsample of mothers but not fathers. Mothers' closeness to girls predicted their knowledge of their daughters' behavior; mothers' control predicted boys' antisocial behavior.