Background: Physical activity (PA) is an important factor among the determinants of health due to it’s protective factor and preventive role. Self-reported measures such as questionnaires are most commonly used in public health studies, but may over- or underestimate actual patterns of PA. Therefore, accelerometers are widely used to assess concurrent validity. The aim of the present study was to adapt and validate the self-administered GPAQ - Hungarian version (GPAQ-H) against accelerometer data and IPAQ-Hungarian long version (IPAQ-HL) in Hungarian healthy young adults. Methods: A cross-sectional comparative study was conducted to examine the last 7 days PA by GPAQ-H, comparing with IPAQ-HL and Actigraph GT3X accelerometer to measure concurrent validity and reliability. A convenient sample of 300 young adults was recruited in January – July 2018 at the University of Pécs, in South-Hungary, 120 participants (age 21.53 ± 1.75 years, 46.66% male) were included in the validity and reliability study. Results: Significant differences between the three instruments were found (p < 0.001) in all scores, except PAQs vigorous activities (p = 0.332) and GPAQ-H and accelerometer MVPA score (p = 0.424). A moderate KMO measure was found (0.538) with a significant Barlett’s test of Sphericity (279.51; p < 0.001). The total variance was explained as 81.10%. The reliability of the GPAQ-H instrument with all domain’s scores was 0.521 (CI 0.371–0.644). We found in all intensity scores and sitting time good reliability scores (R = 0.899–987, p < 0.001) between the baseline and follow-up (N = 33 random subsample). The Bland-Altman plots were showed that GPAQ-H overestimates vigorous activities by 212.75 min/week (331.82–757.42) and MVPA by 104.93 min/week (− 1016.98–807.11). A high difference, 6336.79 min/week (CI 3638.18–9035.40) was revealed regarding sitting, as GPAQ-H largely underestimated the time spent sedentary. Conclusions: The Hungarian GPAQ self-administered form showed fair to moderate validity with correlation coefficients similar to other European studies. Based on our study’s results it could be claimed that the GPAQ-H measurement tool is a valid and reliable questionnaire to measure the healthy Hungarian population’s physical activity patterns. However, our results also proved that GPAQ-H alone is not a valid and reliable questionnaire to measure sitting time.

(1) Background: In this study, sport and subjective psychological well-being is investigated in three waves of the COVID-19 pandemic. (2) Methods: We have conducted three different representative sample surveys (n = 3600 altogether) on the Hungarian adult population and investigated the sample’s subjective psychological well-being with the WHO-5 Well-Being Index, as well as changes in their subjective well-being through the different waves of the pandemic. Sporting habits and socio-economic variables were also surveyed, and OLS regression models were created focused on the WHO-5 measures. (3) Results: The subjective psychological well-being of the Hungarian adult population decreased significantly, but in the second and third wave of pandemic restrictions, an increase in subjective psychological well-being has been measured. The relationships between the time spent on doing sports and subjective psychological well-being were significant in each pandemic waves. The highest subjective psychological well-being and its highest increase were reported by those who could increase their time spent on doing sports as well. (4) Conclusions: The relationships between the sports activities, physical health, size of settlement, changes in income and subjective psychological well-being of the Hungarian adult population were significant in all three waves of the COVID-19 pandemic.

(1) Background: Changes in daily life and academic training has led to uncertainty in the higher education student population during COVID-19. The goal of the study was to examine the impacts of the pandemic on Hungarian students. (2) Methods: A cross-sectional study was conducted by using self-report questionnaires collected in Google Forms. Eight-hundred-and-twenty-seven students (25.29 ± 8.09) took part anonymously. The respondents rate their overall physical and mental health on a 5-point Likert scale and validated scales were used: Well Being Index (WHO-5); Mindfulness Attention and Awareness Scale (MAAS); and Perceived Stress Scale (PSS-14). Statistical analyses were performed with IBM SPSS 24.0, results were considered at a significance level p ≤ 0.05. (3) Results: Positive correlation was found between MAAS and WHO-5 (r = 0.363, p < 0.001) negative correlation between MAAS and PSS-14 (r = −0.448, p < 0.001), and negative correlation between WHO-5 and PSS-14 (r = −0.671, p < 0.001). Females had higher PSS-14 mean score (32.51 ± 10.16) than males (27.71 ± 10.19; p < 0.001; Z = −5703), males (60.92 ± 12.10) had higher MAAS level than females (57.31 ± 12.51; p < 0.001; Z = −3589). No difference was found in gender regarding WHO-5 mean scores. Athletes (7.03 ± 3.27) differ significantly from non-athletes (6.00 ± 3.04) in WHO-5 (p < 0.001; Z = −4.349) and MAAS level (p = 0.012; Z = −2.498), but showed no difference in PSS-14 (p = 0.101; Z = −1.641). Students rated mental (3.01 ± 0.99) worse than physical health (3.49 ± 0.98; p < 0.001, r = 0.426) and the narrowing of social relationships worse (3.83 ± 1.26) than physical (p < 0.001, r = −0.212) and mental health (p < 0.001, r = −0.408). Females had worse mental health (2.96 ± 9.94) than males (3.20 ± 0.99; p = 0.003; Z = −2.924) and rated the narrowing of social relationships worse (3.90 ± 1.23) than males (3.59 ± 1.35; p = 0.006; Z = −2.730). (4) Conclusions: The pandemic has negatively impacted students, and it may have long-term consequences on their mental and physical health and education.

Background and aims: The Exercise Addiction Inventory (EAI), based on the components model addictions, is a 6-item instrument used to assess the risk of exercise addiction (REA). Its revised version (EAI-R) was published in 2019 but only differed from the original scale in the response rating range (using a 6-point rather than 5-point Likert scale). In 2023, the EAI-3 was released with two new items (guilt when missing training and exercising despite injury). We aimed to test the validity and reliability of the Hungarian EAI-3 (EAI-3-HU). Methods: We tested 507 regular exercisers (Mage = 38.7 years, SD age = 10.63 years, range age: 18–78 years; 62.7% females) who completed the EAI-3-HU, the obsessive passion subscale of the Passion Scale, and exercise habits questions on the online Qualtrics research platform during autumn/winter 2023–2024. Results: Confirmatory factor analysis resulted in a good model fit for the two factor EAI-3-HU (CFI = .96; TLI = .94; RMSEA = .07; SRMR = .04). However, the covariance between the latent factors was .97, indicating that they measure an identical concept. Thus, a single-factor solution was appropriate (CFI = .96; TLI = .94; RMSEA = .07; SRMR = .04). Testing measurement invariance revealed the partial scalar invariance across genders. The internal reliability of the scale was good (Cronbach’s α = .81). The scale had good convergent validity with obsessive passion (r = .72), and discriminant validity based on exercise frequency as well as exercise intensity (p < .001). Conclusion: The 8-item single factor EAI-3-HU adequately assesses the Hungarian samples’ REA. Nevertheless, it should be kept in perspective that the revised tool, like its predecessors, only assesses a level of ‘risk’, which does not imply morbidity, thus it has no clinical diagnostic value.

(1) Background: The COVID-19 pandemic is unprecedented and has affected every social class. The prevalence of moderate-to-severe stress and anxiety levels in the general population was reported to be 25%. This study aimed to describe the validation of the Hungarian version of the COVID Stress Scale. (2) Methods: The research study was a cross-section validation study with a representative sample (N = 1200) and a non-representative student sample (N = 350). The translation procedure was a four-step procedure. The interviewers conducted the data collection. (3) Results: The reliability of the Hungarian CSS was assessed using Cronbach’s alpha. Convergent validity was evaluated by correlating the CSS with the PSS and WHO-WBI5. The Cronbach’s alpha coefficient of the CSS-H factors was between 0.844 and 0.907 (representative sample) and between 0.878 and 0.936 (student sample), which qualified as very good. The reliability of the internal consistency was good for all six factors in both samples. The CSS-H total and all-domain scores significantly and positively correlated with the PSS total score and negatively correlated with well-being. (4) Conclusions: The Hungarian COVID Stress Scale is a valid, reliable instrument to measure COVID-19-related distress in the Hungarian population.

Falls are a leading cause of paediatric injuries, yet school-based prevention relies heavily on subjective observation rather than objective biomechanical assessment. This paper introduces the Safe Fall framework, integrating a judo-inspired educational programme with an occlusion-robust computer vision pipeline to quantify safe falling strategies. We analysed video recordings of 285 schoolchildren using a multi-stage architecture combining YOLOv8 for detection, SAM 2 for segmentation, and MMPose for skeletal tracking. The intervention yielded significant improvements in 60% of kinematic metrics ($p<0.05$), most notably a $+61.4\%$ increase in descent rate and expanded rolling ranges, indicating a shift from hazardous “freezing” behaviours to controlled energy dissipation. Unsupervised clustering confirmed a migration of students towards safe motor profiles, while a Random Forest classifier achieved an accuracy of 98.3% and an AUC of 0.998 in distinguishing fall quality. These findings demonstrate that integrating pedagogical training with automated vision modelling provides a scalable and evidence-based approach for reducing injury risk in real-world school environments.