Background The extreme social circumstances caused by declared COVID-19 pandemic deeply intervene people’s everyday life and should not be neglected but seen through the view of social reality pinpointing the ‘ordinary’ people. In this article, authors explored basic segments of everyday and their subjective perception to what extent sleeping habits, physical inactivity, physical activity, nutritional habits and smoking have changed. Methods The online survey was conducted in nine European countries (Bosnia and Herzegovina, Croatia, Greece, Kosovo*, Italy, Serbia, Slovakia, Slovenia and Spain) in 4108 participants, aged 15–82 years. The survey took place 30–40 days after World Health Organization declared COVID-19 pandemic state, from 15 April to 3 May 2020. Results The results have shown 30 min longer sleeping time, 50% longer physical inactivity time, 65% longer screen time, 43% shorter walking time, 24% shorter sport time and 37% longer physical work time. Additionally, body mass gains (0.3 kg) could be explained in 20.6% with meals sizes, unhealthy food consumption, screen time and sport time. Further, respondents reported more regular meals (44%) and healthier meals with less alcohol consumption and less smoking, which have been positive outcomes of home confinement. Conclusion The findings draw attention to negative changes in everyday praxis (inactivity, body mass gain) after such a short period. Because of possible risk to population’s health (especially of countries such as Italy and Spain with serious threat and more stringent measures), findings enable development of recommendations for maintaining healthy lifestyle habits with minimal negative health consequences in similar pandemic circumstances.

To abate the spread of the COVID-19 virus, different restriction measures were imperative, limiting the possibility to be engaged in physical activity. Therefore, this study aimed to evaluate the effect of COVID-19 lockdown on physical activity (PA) levels expressed as energy expenditure (MET-min/week) and sedentary behaviour in Kosovo. The possible association between PA levels and other factors was analyzed. 1633 participants (age range: 13 to 63 years; mean: 24.70 ± 9.33 years; body height: 172 ± 10.57 cm; body mass: 69.10 ± 13.80 kg; BMI: 23.09 ± 3.63 kg/m2) participated in the study, categorized by age, gender, BMI, and living area. An online survey, including an adapted version of the IPAQ-SF, was administered once during lockdown to assess PA levels and sedentary behaviour both before and during COVID-19 lockdown. The Wilcoxon signed-rank, Mann–Whitney U and Kruskal–Wallis rank of sum tests were used for statistical analysis. COVID-19 restrictions had a negative impact on the types of and overall PA levels MET-min/week (p < 0.001). Sedentary behaviour significantly increased during COVID-19 restrictions (p < 0.001). Higher decreases in MET-min/week during lockdown were observed among males, young and young adults, overweight, and urban-living participants. Finally, COVID-19 restrictions decreased the PA levels and MET-min/week, and increased sedentary behaviour also in a relatively young cohort. Such differences were dependent on several factors.

High levels of physical fitness (PF) can positively affect both health and cognitive function, thus monitoring its levels in youth can help increase health and quality of life in adult populations later on. This systematic review aims to identify PF field-based tests used in young European populations practicing sport to find tools that are adequate for the considered target involving a new battery within the Enriched Sport Activities (ESA) project. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was followed. In the 83 identified articles, the main tests used were: vertical/horizontal jumps (for muscular strength/power); push-ups, running at maximum effort, sit-ups (for muscular strength/endurance); multistage non-intermittent and intermittent tests (for aerobic endurance); sit and reach (for flexibility); sprinting and agility T-tests (for speed and agility, respectively); 10 × 5 m shuttle run (SR) (for both speed and agility). Few studies assessed coordination, reaction time, power, and balance. Although the selected tests are widely used and validated, they do not determine all PF aspects and do not reflect sport-specific features. A final decision was made for the inclusion of the following tests: standing broad jump, seated medicine ball throw, 20 m SR test, 30 m sprint, Illinois test, and a new test, i.e., the crunning test, to assess different skill-related components at once. The use of this combination of tests allows for the assessment of all PF components and can help planning effective training programs and cultivate sporting talent.

Humans use sensory integration mechanisms to sense skin wetness based on thermal and mechanical cues. Ageing impairs the skin's thermal and tactile sensitivity, yet we lack evidence on whether wetness sensing also changes with ageing. We mapped local skin wetness and temperature sensitivity in response to cold-, neutral-and warmwet stimuli applied to the forehead, neck, lower back, dorsal foot, index finger and thumb, in 10 Younger (22.4 ± 1.1 years) and 10 Older (58.2 ± 5.1 years) males. We measured local skin temperature and conductance (i.e., a marker of hydration status) at the tested sites, to establish the role of skin's thermal and mechanical parameters in ageing-induced changes in wetness sensing. Irrespective of body site, Older reported overall lower wetness perceptions than Younger across all wet-stimulus temperatures

The aim of this study is twofold: firstly, to investigate the plantar pressure distribution differences in children coming from 4 different weight categories and secondly to analyze the presence of sex-related plantar pressure distribution differences. Overall, 416 children, aged 7 to 12 years old were randomly selected from 6 different local schools, and voluntarily participated in the study. Two hundred twenty six of them were men, while 190 were women (mean age: 9.93 ± 1.02 years; height: 1.39 ± 0.8 m; body mass: 37.76 ± 10.34 kg; BMI: 19.24 ± 4.02 kg/m 2 ). Based on the body mass index (BMI) the sample was grouped in the following categories: underweight (UW); normal weight (NW); overweight (OW), and obese (OB). Besides, the plantar load distribution parameters (total plantar load distribution and load distribution in forefoot and rearfoot) were assessed employing freeMed Maxi; Sensor Medica device. Shapiro-Wilk test was used to test the data distribution. Between-groups comparisons were conducted using Mann–Whitney U test, or using Kruskal-Wallis test associated with pairwise comparisons. There were significant differences in load distribution between weight categories, with (OW) and (NW) being significantly different with (O), P = .03 and P = .04, respectively. No significant differences were found on load distribution on the rearfoot and forefoot between categories. The sex effect, particularly among boys, revealed a different pattern of load distribution among (O) compared with other categories. This effect was not detected among women. Different profile of load distribution on the rearfoot and forefoot between boys and girls was found, with girls bearing significantly more weight in the right rearfoot compared with boys ( P = .001). It can be concluded that the weight status of the children can affect the plantar load distribution, with obese category being different from (NW) and (OW). Additionally, the sex plays a role when it comes to the load distribution in different regions of the foot. Moreover, since the young age, due to growth and development process, is accompanied with anatomical foot changes which might be affected from numerous factors, assessing plantar pressure distribution in young children results to be a quite complicated matter.