Association between Screen Time and Sociodemographic Factors, Physical Activity, and BMI among Children in Six European Countries (Feel4Diabetes): A Cross-Sectional Study.

Screen time among children in most European countries is notably high and is influenced by various sociodemographic and other factors. Our study aimed to explore the associations between parents' sociodemographic characteristics, socioeconomic status, body mass index (BMI), physical activity, risk status for type 2 diabetes, and their children's BMI, physical activity, and screen time. The data were sourced from the 2016 Feel4Diabetes study, involving 12,280 parents and 12,211 children aged 6-9 years (average age 8.21 years) in a cross-sectional study design. We used a logistic regression model to identify potential factors associated with children's screen time. The results showed that mothers with tertiary education (OR = 0.64; 95%CI = 0.49-0.82; p < 0.001), the middle age group (45-54 years) (OR = 0.81 95%CI = 0.66-0.98; p = 0.033), and families with higher incomes (middle-OR = 0.85; 95%CI = 0.75-0.97; p = 0.014; high-OR = 0.8; 95%CI = 0.69-0.93; p = 0.003) were associated with a decreased chance of children spending more than 2 h/day in front of the screen. In contrast, maternal overweight/obesity (OR = 1.15; 95%CI = 1.03-1.29; p = 0.013) and lower physical activity in children were linked to an increased likelihood of more than 2 h of screen time per day. Our findings suggest that targeted interventions should be developed to mitigate excessive screen time, particularly focusing on low-income families and mothers with low educational levels.

Patients' Assessment of Chronic Illness Care (PACIC): Validation and Evaluation of PACIC Scale among Patients with Type 2 Diabetes in Hungary.

Introduction: The aims of this study were to evaluate the psychometric properties of the Hungarian translation of the PACIC in a sample of patients with type 2 diabetes and to reveal the associations between the mean PACIC scores and the number of chronic diseases, or visits to GPs, and specialist. An exploratory factor analysis (EFA) has also been performed to test the structural validity of the PACIC scale. Methods: The Hungarian version of PACIC was validated using randomly selected patients with type 2 diabetes (N = 684) from licensed GP practices. Results: Floor (1.6%-30.2%) and ceiling effects (11.3-33.6%) were similar of the PACIC scale. The internal consistency of the total scale (Cronbach's alpha 0.93) was excellent and subscales were good (between 0.73-0.9). The mean scores of each PACIC subscale group were between 2.99-3.53. There was a weak significant correlation between the mean PACIC scores of subscales and the number of GP visits (p < 0.001), and specialist visits (p < 0.001). The EFA identified four factors on the sample (KMO = 0.931). Gender and education showed correlation with some new factors. Conclusion: The psychometric properties of the Hungarian version of PACIC questionnaire showed a reasonable level of validity among patients with type 2 diabetes. Now, this instrument is ready to assess the chronic care of diabetic patients in Hungary.