2020, Volume 14, Issue 3

Stały URI dla tej kolekcji

https://hdl.handle.net/20.500.13044/210

Przeglądaj

Przeglądanie 2020, Volume 14, Issue 3 według Autor "Laczkó, Tamás"
  • Rekord
    A comparison of sporting activities across the Visegrad group countries
    (Państwowa Szkoła Wyższa im. Papieża Jana Pawła II w Białej Podlaskiej, 2020-10-09) Laczkó, Tamás ; Makai, Alexandra ; Prémusz, Viktória ; Ács, Pongrác ; Paár, Dávid
    Background. EU efforts to exploit the positive social impact of sport have also been a priority in the Visegrad (V4) countries over the past decade. Our analysis aimed to compare the frequency of sports activities among the V4 countries’ population and the effects of demographic, quality of life, sociocultural, socioeconomic, and sports infrastructural factors. Material and methods. The data analyzed are from the Special Eurobarometer 472 Sport and Physical Activity survey, conducted in 2017. All respondents (n=4,174) were over 15 years of age and resident in one of the four Visegrad countries. Frequency distribution, chi-square tests, and binary logistic regression models (including 12 explanatory variables and regular sports as independent variable) were used. Results. Hungary had the highest rate (16%) of respondents participating in sporting activity at least three times a week, while the Czech Republic had the highest rate of weekly regularity (31%), and the lowest inactivity rate (42%). In Poland, the inactivity rate was 62%. Age, education, and social status had a significant effect on the frequency of sports in all four countries. Conclusions. This paper highlights the slowly changeable role of demographic, sociocultural, and socioeconomic structures in influencing the frequency of sporting activity among the V4 countries, and underlines the potentially quick impact of sports infrastructure.
  • Rekord
    Impact of COVID-19 on the physical activity and well-being of Hungarian athletes and sports professionals
    (Państwowa Szkoła Wyższa im. Papieża Jana Pawła II w Białej Podlaskiej, 2020-10-09) Szabó, Tünde ; Stocker, Miklós ; Ács, Pongrác ; Morvay-Sey, Kata ; Pálvölgyi, Ágnes ; Laczkó, Tamás
    Background. The COVID-19 pandemic had a significant effect on regular activities and lifestyles in Hungary in the second quarter of 2020. In this study, we identify the physical activity and mental well-being changes in the Hungarian sport sector. Material and methods. A questionnaire, which included internationally validated items, was created to survey members of the sporting sector in Hungary. In June 2020, we obtained 840 valid responses, the age and gender profile of which were closely representative of the overall population. The results were analyzed with descriptive and inferential statistics. Results. Physical activity during the COVID-19 pandemic changed significantly (p<0.001) in the Hungarian sport sector, decreasing by 166±1128 minutes (mean±SD) per week, on average. Women (-286±980 weekly minutes) and children’s (-304±951 weekly minutes) physical activity decreased the most, whereas that of middle-aged (-83±1024 weekly minutes) and graduates (-99±982 weekly minutes) decreased the least. Greater well-being was felt during the pandemic by those who were either more physically active, or could even increase their physical activity. Conclusions. Even in the sport sector, the more physically active people are, the greater their well-being. Therefore, promotion of physical activity becomes even more important in challenging times.
  • Rekord
    Influencing factors of sport activities among the EU’s population based on the Eurobarometer 2018
    (Państwowa Szkoła Wyższa im. Papieża Jana Pawła II w Białej Podlaskiej, 2020-10-09) Paár, Dávid ; Ács, Pongrác ; Laczkó, Tamás
    Background. The aim of this paper is to explore the relationship between demographic, sociocultural, socioeconomic and sports infrastructural factors affecting the frequency of regular sports activity among the adult population in the European Union, with the help of an individual-level research. Material and methods. The data analyzed are from the Special Eurobarometer 472 Sport and Physical Activity survey, conducted in 2017. All respondents (n=28,031) were over 15 years of age and resident in one of the 28 EU member states. Descriptive statistical methods, chi-square tests and binary logistic regression model were used in the analysis. Results. Regular sports activity was significantly influenced by demographic factors (age and gender), quality of life factors (health status and life satisfaction) and sports infrastructural factors from the 12 factors included in the regression model. The sports habits of adults living in the EU are also significantly influenced by sociocultural, as well as socioeconomic factors. Conclusions. This paper highlights that social, cultural and economic structures, as well as the infrastructural factors of sport played a key role in shaping the sports habits of the EU adult population in 2017.
  • Rekord
    Prevalence and correlates of physical activity among public healthcare workers in Hungary
    (Państwowa Szkoła Wyższa im. Papieża Jana Pawła II w Białej Podlaskiej, 2020-10-09) Rovo, Gyongyver ; Makai, Alexandra ; Prémusz, Viktória ; Baumann, Petra ; Laczkó, Tamás ; Betlehem, József ; Ács, Pongrác ; Oláh, András
    Background. Due to unfavorable working conditions, health professionals often suffer several psychosomatic and somatic symptoms. Although these symptoms could be relieved by physical activity, their lifestyles are often inadequate. We assessed the physical activity levels of workers in the Hungarian healthcare system through the lens of occupational health. Material and methods. We surveyed the physical activity levels of 285 healthcare workers using the International Physical Activity Questionnaire (IPAQ – Long Form). SPSS 24.0 was used to perform statistical analysis.Results. According to their overall MET/minute/week values, participants were divided into 3 groups based on physical activity levels: insufficient, sufficient, and high physical activity. The most populated activity category was the high physical activity category with a result of 90.68%. Occupational activity accounted for one-third (32.01%) of total activity scores while leisure time activity accounted for 11.52% of total activity. Correlation analysis was carried out focused on Body Mass Index (BMI), age, and physical activity (PA). Only leisure time activity showed a significant correlation (p<0.05).Conclusions. Our research acknowledges that physical activity during working hours with respect to the target group does not contribute to physical activity in leisure time.