Background: Music interventions are promising therapies for the management of symptoms in Alzheimer’s disease (AD). Globally, music interventions can be classified as active or receptive depending on the participation of the subjects. Active and receptive music tasks engage different brain areas that might result in distinctive clinical effects. This study aims to compare the clinical effects of two types of music interventions and a control activity. Methods: Ninety AD patients from six nursing homes participated in the study. Nursing homes were randomly and blindly assigned to receive either active music intervention, receptive music intervention, or the usual care. Effects on cognition, behaviour, daily living activities, and motor function were assessed. Results: Active music intervention improved cognition, behaviour, and functional state in a higher extent than both receptive music intervention and usual care. The effect size of active music intervention for cognitive deficits and behavioural symptoms was large (η² = 0.62 and 0.61, respectively), while for functional state, it was small-to-medium sized (η² = 0.18). Receptive music intervention had a stabilizing effect on behavioural symptoms compared to control intervention (mean change from baseline ± standard deviation = −0.76 ± 3.66 and 3.35 ± 3.29, respectively). In the active music intervention, the percentage of patients who showed improvement in cognitive deficits (85.7), behavioural symptoms (92.9), and functional state (46.4) was higher than in both receptive listening (11.8, 42.9, and 14.3, respectively) and control group (6.3, 12.2, and 17.1, respectively). Conclusions: Active music intervention is useful to improve symptoms of AD and should be prescribed as a complement to the usual treatment.

A main goal of the university institution should be to reduce the desertion of its students, in fact, the dropout rate constitutes a basic indicator in the accreditation processes of university centers. Thus, evaluating the cognitive functions and learning skills of students with an increased risk of academic failure can be useful for the adoption of strategies for preventing and reducing school dropout. In this research, cognitive functions and learning skills in 284 university students were evaluated. Academic performance predictors were identified, and conglomerates analysis was carried out to establish groups according to those variables. The stability and validity of the conglomerates were tested with discriminant analyzes and comparison tests. The variables associated significantly to academic performance were: attention, intelligence, motivation, metacognition and affective components. The conglomerate analysis suggested a three-group solution: (1) students with cognitive skills of moderate to high, but deficient learning strategies; (2) students with cognitive and learning capabilities of moderate to high; (3) students with cognitive functions low and moderate learning capacity. Students from groups 1 and 3 showed worse academic performance; 83.3% of students at risk of desertion belonged to such groups. Two groups of students have been identified with the highest risk of academic failure: those with poor cognitive capacity and those with bad learning skills.

Many studies that assess efficiency in health systems are based on output mean values. That approach ignores the representativeness of the average statistic, which can become a serious problem in estimation. To solve this question, this research contributes in three different ways: the first aim is to evaluate the technical efficiency in the management of European health systems considering a set of DEA (Data Envelopment Analysis) and FDEA (Fuzzy Data Envelopment Analysis) models. A second goal is to assess the bias in the estimation of efficiency when applying the conventional DEA. The third objective is the evaluation of the statistical relationship between the bias in the efficiency estimation and the macroeconomic variables (income inequality and economic freedom). The main results show positive correlations between DEA and FDEA scores. Notwithstanding traditional DEA models overestimate efficiency scores. Furthermore, the size of the bias is positively related to income inequality and negative with economic freedom in the countries evaluated.

Nowadays, there are plenty of programs and resources to prevent caregiver burden of patients with Alzheimer’s disease. In spite of that, many caregivers suffer high levels of burden and stress, which leads to an earlier institutionalization of patients. This study aimed to explore the predictors of burden in relative caregivers of patients attending day-care centers and the moderating role of caregiver kinship in these associations. A sample of a hundred and two patient–caregiver dyads was recruited. Burden was measured with a Zarit Burden Interview. Measures of patients’ cognition, insight, depression, behavioral disturbances, functional ability and overall physical health were considered as predictors. We found that apathy, irritability and delusions and, patients’ mobility are the main determinants of caregivers’ burden. The strength of relationship between delusions and irritability was higher in spouse caregivers. Interventions to reduce burden should be adapted to the specific needs of a particular type caregiver.

This study examines whether economic freedom is indirectly associated with life satisfaction through GDP per capita and whether governance quality conditions the association between GDP per capita and life satisfaction. The revised analysis uses a balanced panel of 30 European countries observed in 2018, 2021, 2022, and 2023 (N = 120). A second-stage conditional process model is estimated with period indicators, country-clustered inference, and cluster bootstrap confidence intervals. The principal result is a negative GDP per capita × governance interaction (B = −0.568, cluster-robust p = 0.001; restricted wild cluster bootstrap p = 0.019): the positive association between GDP per capita and life satisfaction is stronger at comparatively lower governance levels within the European sample and weaker at comparatively higher governance levels. Contemporary conditional indirect associations are positive at comparatively lower and central governance levels but not at the upper representative level; the index of moderated mediation is −0.352, with a country-bootstrap 95% CI [−0.510, −0.211]. Robustness checks using a correlated-random-effects/Mundlak specification, income inequality, exclusion of 2021, six separate governance dimensions, and actual individual consumption preserve the negative interaction. A temporally ordered exploratory model supports the interaction but not the indirect index. Given the observational panel design, the findings should be interpreted as statistical associations rather than causal effects. They provide robust evidence of institutional moderation, whereas evidence for the indirect pathway remains sensitive to model specification and temporal ordering.