A growing body of literature indicates that children with Specific Learning Disorder (SpLD) are at risk of internalising and externalising problems. Instead, less is known about the factors that may influence this symptomatology. For instance, a few studies investigated the extent to which impaired school well-being could predict internalising and externalising symptomatology. This study aimed first to examine school well-being in SpLD children in a multi-dimensional perspective, from the point of view of the children and their mothers; second, the study analysed relationships between school well-being problems and psychopathological symptoms. Seventy-two children aged 8–10 years, 20 with SpLD and 52 typically developing (TD) children, and their mothers completed the Questionnaire on School Well-being. The mothers also filled in the Child Behaviour Checklist. Compared with TD group, mothers of children with SpLD reported on QBS lower children’s learning performances and worse family–teacher relationships. Closer relationships between QBS scores, i.e. struggles with learning and emotional problems at school, and internalising/externalising symptoms were found in SpLD group. These findings suggest that school well-being problems could negatively influence the psychological development of children with SpLD and highlight the importance of supportive school environment to improve school well-being and overall psychological health of these children.

Children with special needs have encountered many challenges during the COVID-19 pandemic. Nevertheless, no studies have focused on the Quality of life (QoL) of children with specific learning disabilities (SpLD). This study aimed first to examine the physical, emotional and school dimensions of QoL in a group of primary school children with SpLD. The second goal was to investigate the extent to which the experience and resilience of their mothers were related to the children’s QoL. The sample included 35 children with SpLD and 85 typically developing (TD) children, and their mothers. Three standardised questionnaires were filled in by the mothers. The findings showed that, compared to TD children, those with SpLD reported worse physical health, learning processes and school-related emotional health. Relative to the TD group, the mothers of the children with SpLD experienced more negative emotions and concern towards their children’s difficulties, where these closely correlated with the children’s QoL. Maternal resilience appeared crucial to the emotional health of these children. Our findings were discussed in terms of the need for more inclusive teaching practices that support the learning processes and the psychological health of children with SpLD, and for supporting interventions for their mothers.

Background: Previous studies have identified areas of cognitive weakness in children diagnosed with Specific Learning Disorder (SLD), in the areas of working memory and processing speed in particular. In adulthood, this literature is still scant, and no studies have compared the cognitive profile of university students with dyslexia (DD) with that of students with Mixed-type SLD. Method: Thus, in this study, the WAIS-IV was used to examine the cognitive functioning of three groups of university students: students with DD, with Mixed-type SLD, and typical students. Statistical analyses were performed to examine differences in WAIS-IV FSIQ, main, and additional indexes and subtests. Results: The results showed strengths in perceptual reasoning and good verbal comprehension abilities in both the DD and Mixed-type SLD group, with weaknesses in working memory and processing speed, leading to a pattern of a better General Ability Index (GAI) than Cognitive Proficiency Index (CPI) in both clinical groups. Thus, discrepancies between GAI and CPI, well documented in children with SLD, still manifest in adulthood in university students. Our findings also revealed worse cognitive performance in university students with mixed learning disorder relative to students with only a reading deficit. Conclusions: The cognitive features and distinctive subtest profiles that emerged should guide the assessment and the definitions of intervention programs, special educational needs, and strategies of compensation.

People with sub-threshold autistic traits (SATs) are more prone to develop addictive behaviors such the ones linked to Internet abuse. The restrictions for anti-COVID-19 distancing measures encourage social isolation and, consequently, increase screen time, which may lead to Internet addiction (IA). However, a better quality of life (QoL) may have function as a protective factor against the development of IA. This study wanted to investigate the relation between SATs, QoL, and the overuse of the Internet in a group of 141 university students in the North of Italy. Participants completed a battery of tests. Results suggest that QoL is a predictive factor of IA and that the relationship between QoL and IA is significantly moderated by SATs. This could mean that SATs might represent a risk factor for IA, even when people have a better quality of life. Differences between female and male students are discussed, as well as possible implications for practice.

Background: The number of students with Specific Learning Disorders (SLDs) in universities has recently increased. Thus, it is important to analyze their difficulties throughout their academic studies and propose adequate interventions to prevent emotional problems and dropout. Previous research has reported higher levels of internalizing problems (anxiety and depression) in students with SLDs compared to those with typical development. Surprisingly, academic burnout among students with SLDs remains a largely overlooked and under-researched issue. The present work is one of the first studies that seeks to address this critical gap by examining the levels of academic burnout, and exploring its relationship with depression and anxiety in university students both with and without SLDs. Methods: The sample included 120 university students (M = 42, F = 78; mean age = 21.16, SD = 2.26). Of these, 60 students had SLDs and 60 had typical development (TD). Students were asked to complete three questionnaires assessing burnout (BAT-C), depression (BDI-II), and anxiety (STAI-Y). Results: The comparison between groups revealed that students with SLDs reported significantly higher levels of total burnout (mean difference = −3.98, t[118] = −2.59, p = 0.011, d = 0.47) and trait anxiety (mean difference = −2.87, t[118] = −2.73, p = 0.007, d = 0.50), with a moderate effect size for both differences. They also exhibited greater cognitive impairment related to burnout (U = 2333.50, p = 0.006, r = 0.25). No group differences were found in depression. Path analyses showed that while trait anxiety mediated the burnout–depression link in both groups, state anxiety was a significant mediator only for students with SLDs (β = 0.22, p = 0.025). Conclusions: The findings provide new evidence of the importance of monitoring academic burnout and anxiety in students with SLDs. The results show that anxiety plays a crucial mediating role between burnout and depression in students with SLDs, reinforcing the need for specific psychological support programs in universities.