This study explores adolescent well-being during the first wave of the COVID-19 pandemic in two high-income countries from Europe and one middle-income country from South America. The aim is to investigate the correlates of different dimensions of subjective well-being in 10- to 16-year-olds from different cultural contexts. An online, self-report questionnaire was completed by 1,613 adolescents in Luxembourg, Germany, and Brazil between May and July 2020. The outcome variables were measures of life satisfaction and emotional well-being during the COVID-19 pandemic. The study included a range of sociodemographic, interpersonal, and intrapersonal covariates. Data were analyzed using descriptive statistics and latent variable structural equational modeling. A two-factor model of subjective well-being, consisting of life satisfaction and emotional well-being latent constructs, fitted well with this sample data for Luxembourg, Germany, and Brazil. Results showed that gender, socioeconomic status, intrapersonal factors, quantity and type of schoolwork, and relationships with adults were important common predictors of individual differences in subjective well-being during COVID-19. Fear of illness emerged as the strongest correlate of emotional well-being across the three countries. This study indicates that girls and adolescents from low-income homes may be especially vulnerable to negative secondary impacts of COVID-19 that can affect mental health. It identified several common correlates of subjective well-being in adolescents from different cultural settings, including factors that may be changeable, such as the following: the way adults listen to adolescents, schoolwork during distant learning, and fear of illness. Findings can inform the development of quality interventions for promoting the well-being of adolescents during a global pandemic.

Preterm babies are more prone to develop disorders and so require immediate intensive care. In the conventional neonatal intensive care, the baby is kept in the incubator, separated from the mother. Some actions have been taken in order to make this mother–child separation less traumatic. One of these actions is the Kangaroo mother care (KMC) characterized by skin-to-skin contact between a mother and her newborn. The objective of this study was to compare the mood variation of mothers enrolled in the KMC program to those in the conventional incubator care. In one general hospital in Sao Paulo, Brazil, 90 mothers were evaluated before and after contact with the baby in the Neonatal Intensive Care Unit. The participants were divided into three groups: 30 mothers of term newborns (TG), 30 mothers of preterm infants included in KMC program (PGK) and 30 preterms with incubator placement (PGI). The Brazilian version of the Visual Analogue Mood Scale (VAMS) was used for the assessment before and after the infant's visit. Results showed that TG mothers reported fewer occurrences of depressive states than PGK and PGI mothers. A significant mood variation was observed for PGK and PGI after the infant's visit. PGK mothers reported feeling calmer, stronger, well-coordinated, energetic, contented, tranquil, quick-witted, relaxed, proficient, happy, friendly and clear-headed. The only variation showed by PGI mothers was an increase in feeling clumsy. This study shows a positive effect of the KMC on the mood variation of preterm mothers and points to the need of a more humane experience during the incubator care.

The cognitive model of reading comprehension posits that reading comprehension is a result of the interaction between decoding and linguistic comprehension. Recently, the notion of decoding skill was expanded to include word recognition. In addition, some studies suggest that other skills could be integrated into this model, like processing speed, and have consistently indicated that this skill influences and is an important predictor of the main components of the model, such as vocabulary for comprehension and phonological awareness of word recognition. The following study evaluated the components of the reading comprehension model and predictive skills in children and adolescents with dyslexia. 40 children and adolescents (8-13 years) were divided in a Dyslexic Group (DG, 18 children, MA = 10.78, SD = 1.66) and Control Group (CG 22 children, MA = 10.59, SD = 1.86). All were students from the 2nd to 8th grade of elementary school and groups were equivalent in school grade, age, gender, and IQ. Oral and reading comprehension, word recognition, processing speed, picture naming, receptive vocabulary and phonological awareness were assessed. There were no group differences regarding the accuracy in oral and reading comprehension, phonological awareness, naming, and vocabulary scores. DG performed worse than the CG in word recognition (general score and orthographic confusion items) and were slower in naming. Results corroborated the literature regarding word recognition and processing speed deficits in dyslexia. However, dyslexics can achieve normal scores on reading comprehension test. Data supports the importance of delimitation of different reading strategies embedded in the word recognition component. The role of processing speed in reading problems remain unclear.

OBJECTIVE: The aim of this study was to assess the frequency of depressive symptoms and to evaluate cognitive performance of institutionalized versus non-institutionalized elderly subjects and to compare the effect of institutionalization and participation in the institution's activity programs on their cognitive performance. METHOD: A group of 120 elderly subjects with a mean age of 71 years and average schooling of 4.2 years was evaluated. The participants were divided into 3 groups: non-institutionalized (n = 37); institutionalized with activities (n = 37); institutionalized without activities (n = 46). The groups were matched for age, gender and educational level. The following assessment instruments were used: the Geriatric Depression Scale, the Mini-Mental State Examination, the Verbal Fluency Test and the computerized versions of the Hooper Visual Organization Test and the Boston Naming Test. The data were analyzed using one-way ANOVA and the Pearson's correlation test. RESULTS: The two groups of institutionalized elderly showed higher frequency of depressive symptoms when compared to non-institutionalized subjects and worse performance on the Verbal Fluency Test. The institutionalized group without activities had lower scores on Mental State Examination, Boston Naming Test and Hooper Visual Organization Test when compared to the other two groups (p < 0.05). CONCLUSIONS: Institutionalization of the elderly seems to be related to worse cognitive performance. Activity programs during institutionalization may be effective in minimizing cognitive functional loss.

Many studies have shown that children with reading difficulties present deficits in rapid automatized naming (RAN) and phonological awareness skills. The aim of this study was to examine RAN and explicit phonological processing in Brazilian Portuguese–speaking children with developmental dyslexia and to explore the ability of RAN to discriminate between children with and without dyslexia. Participants were 30 children with a clinical diagnosis of dyslexia established by the Brazilian Dyslexia Association and 30 children with typical development. Children were aged between 7 and 12, and groups were matched for chronological age and sex. They completed a battery of tests that are commonly used in Brazil for diagnosing dyslexia, consisting of the Wechsler Intelligence Test for Children (WISC-IV) as well as tests of single word and non-word reading, RAN, and the profile of phonological abilities test. Results indicate that the cognitive profile of this group of children, with a clinical diagnosis of dyslexia, showed preserved skills in the four subscales of the WISC-IV (verbal comprehension, perceptual reasoning, working memory, and processing speed) and on the profile of phonological abilities test. Groups significantly differed on the reading tests (word and non-word) and RAN measures, with medium to large effect sizes for RAN. Classification and regression tree analysis revealed that RAN was a good predictor for dyslexia diagnosis, with an overall classification accuracy rate of 88.33%.

Developmental dyslexia is a specific learning disorder that presents cognitive and neurobiological impairments related to different patterns of brain activation throughout development, continuing in adulthood. Lexical decision tasks, together with electroencephalography (EEG) measures that have great temporal precision, allow the capture of cognitive processes during the task, and can assist in the understanding of altered brain activation processes in adult dyslexics. High-density EEG allows the use of temporal analyses through event-related potentials (ERPs). The aim of this study was to compare and measure the pattern of ERPs in adults with developmental dyslexia and good readers, and to characterize and compare reading patterns between groups. Twenty university adults diagnosed with developmental dyslexia and 23 healthy adult readers paired with dyslexics participated in the study. The groups were assessed in tests of intelligence, phonological awareness, reading, and writing, as well as through the lexical decision test (LDT). During LDT, ERPs were recorded using a 128-channel EEG device. The ERPs P100 occipital, N170 occipito-temporal, N400 centro-parietal, and LPC centro-parietal were analyzed. The results showed a different cognitive profile between the groups in the reading, phonological awareness, and writing tests but not in the intelligence test. In addition, the brain activation pattern of the ERPs was different between the groups in terms of hemispheric lateralization, with higher amplitude of N170 in the dyslexia group in the right hemisphere and opposite pattern in the control group and specificities in relation to the items of the LDT, as the N400 were more negative in the Dyslexia group for words, while in the control group, this ERP was more pronounced in the pseudowords. These results are important for understanding different brain patterns in developmental dyslexia and can better guide future interventions according to the changes found in the profile.