This study aimed to examine: (1) patient–proxy agreement on executive functioning (EF) of patients with primary brain tumors, (2) the relationships between patient- and proxy-report with performance-based measures of EF, and (3) the potential influence of performance-based measures on the level of agreement.

Meningioma and low-grade glioma patients and their informal caregivers completed the Behavior Rating Inventory of Executive Function (BRIEF-A) 3 months after surgery. The two index scores of the BRIEF-A, Behavioral Regulation and Metacognition, were evaluated. Mean scores of patients and proxies were compared with normative values and with each other. Patient–proxy agreement was evaluated with Lin’s concordance correlation coefficients (CCCs) and Bland–Altman plots. Pearson correlation coefficients between reported EF and performance-based measures of EF were calculated. Multiple regression analysis was used to evaluate the potential influence of test performance on differences in dyadic reports.

A total of 47 dyads were included. Patients reported significantly more problems on the Metacognition Index compared to norms, and also in comparison with their proxies. Effect sizes indicated small differences. Moderate to substantial agreement was observed between patients and proxies, with CCCs of 0.57 and 0.61 for Metacognition and Behavioral Regulation, respectively. Correlations between reported EF and test performance ranged between −0.37 and 0.10. Dyadic agreement was not significantly influenced by test performance.

Patient–proxy agreement was found to be moderate. No clear associations were found between reported EF and test performance. Future studies should further explore the existing and new methods to assess everyday EF in brain tumor patients.

The aim of the present study was to explore the existence of clusters in multiple lifestyle behaviours, including physical activity (PA), sedentariness and food habits, in young adolescents. The present study also investigated whether the identified groups could be characterised by gender and components of health-related physical fitness, especially weight status and cardiorespiratory fitness (CRF).

A cross-sectional survey. Leisure-time PA, sedentary behaviour and food consumption were assessed by a questionnaire. Overweight prevalence was estimated using BMI (kg/m2) calculated from self-reported height and weight. CRF was measured using a 20 m shuttle-run test.

The study was conducted in four middle schools in Flanders, Belgium.

The sample size was 317 seventh grade students aged 11–12 years.

Four reliable and meaningful lifestyle clusters could be identified, labelled as ‘Sporty media-oriented mixed eaters’ (boys: n 34; girls: n 16), ‘Academic healthy eaters’ (boys: n 30; girls: n 58), ‘Inactive healthy eaters’ (boys: n 38; girls: n 57) and ‘Inactive media-oriented unhealthy eaters’ (boys: n 35; girls: n 49). The lifestyle clusters could not be characterised by adolescents’ weight status. Among boys, the ‘Sporty media-oriented mixed eaters’ group performed significantly better on the shuttle-run test than those in clusters with the lowest levels of PA (clusters 3 and 4).

Our results showed that healthy and risk-related behaviours may coexist in some groups of young adolescents. Isolated unhealthy behaviours, such as high levels of screen-based media use or high consumption of energy-dense food items, are not necessarily related with negative health outcomes, on the condition that these risk-related behaviours co-occur with more health-enhancing behaviours such as PA.