Background: COVID-19 has changed the world and strongly affected the health of the people and the quality of their life. These changes might impact employees’ physical activity (PA) and sedentary behavior (SB). This study aimed to summarize the literature focusing on the COVID-19-caused changes in physical activity and sedentary behavior among the adult working population. Methods: Literature searches were conducted in June 2021 using multiple electronic databases. The following keywords and synonyms were used during the searching process: physical activity, sedentary behavior, COVID-19, employee. After the data cleaning process (duplicates, inclusion criteria), the title and the abstract of all manuscripts from the searches were screened independently by two reviewers. Results: Thirty-nine manuscripts were selected as a result of the searching process. Of these, 5 were SB related, 15 were PA related and 19 addressed both PA and SB. There were longitudinal (10), cross-sectional (28) and a case study (1) in the selected manuscripts. The majority of studies were conducted in the USA (6) and Europe (18), and four studies examined the PA and/or SB in multiple countries. The majority (34 studies) of the studies used subjective, self-reported, but mostly before-validated questionnaires. Objective measures were less common and used only 12.8% of the examined studies. Moreover, 76.4% of the studies described an overall decrease in the amount of PA during the COVID-19 pandemic. In three cases, researchers observed an increase in PA among the workers. Five studies reported no significant changes in the amount of PA during the pandemic. As far as SB is concerned, 18 out of 24 of the studies reported an overall increase in the amount of SB between the two periods. Four manuscripts reported no significant change in the amount of SB, and there was only one manuscript in the examined studies that reported an overall decrease in the SB time before and during the COVID-19 pandemic. Discussion: There is no doubt that the COVID-19 pandemic, including lockdown and work from home (WFH) policies, impaired the PA and SB level of the populations. This period has delivered an important message for the adult working population as well. They should be as active as possible and avoid high levels of SB and uninterrupted sitting time. Therefore, organizations, policies and public health bodies should motivate workers, especially office workers, to be more active and interventions must be developed to mitigate the negative effects of the COVID-19 on PA and SB.
Introduction: Physical activity is inversely proportional to mortality, so it has an important role in disease prevention. The aim of our study was to characterize the physical activity of Hungarians, the most obese population in Europe. Materials and methods: In a cross-sectional study the physical activity of the Hungarian population was characterized in a sample (n = 1,295) which was representative of the sex, age and geographical location of the adult population aged 18 years and above by using the long form of the International Physical Activity Questionnaires (IPAQ) as an instrument. Based on the metabolic equivalent (MET) rates three categories of physical activity (low, moderate, and high) were defined. Two-step cluster analysis was used to explore physical activity characteristics of participants using sex, age, settlement type and BMI categories as categorical variables, and MET values related to the Work, Transportation, Domestic and Garden, and Leisure Time domains of physical activity as continuous variables. Results: The study showed that 63.39% of the adult Hungarian population took part in high, and 24.78% in moderate activity, and only 11.73% of the sample belonged to the category of low physical activity. By cluster analysis six clusters of people with typical lifestyles could be identified in the Hungarian adult population. In all the six groups participants achieved moderate or high activity levels through work and housework. Physical activity in relation to transportation is very low, similarly to leisure-time sporting activities. In the case of elder people, severe overweight/obesity problems can be detected in married city-dwellers. Discussion: Although Hungary has the highest obesity rate in Europe our research has proved that Hungarians lead physically active lives. The dominant forms of their physical activity are linked to work and housework. Our findings draw attention to the need to examine other risk factors in addition to physical inactivity. Our findings also suggest that the type of physical activity should be more severely considered when defining factors protective against obesity.
In the past two decades the sports sector has turned its attention to understanding the idea of sustainability, particularly to the practical steps related to this. The purpose of this study is to investigate the nature of CSR (corporate social responsibility) activities carried out by teams playing in the Premier League and the Primera División in the 2018/2019 season, and how these CSR actions serve environmental protection and society, manifesting the concept of sustainable development. We applied comparative analysis based on secondary databases. We examined the available reports regarding all the 40 teams, focusing on information about their CSR aspirations and related academic research results, and we worked out specific criteria to evaluate environmentally and socially related CSR activities. Arsenal and Real Madrid were chosen to show good practices that can serve as examples for the other members of the sports sector. At Premier League clubs, the practical application of the CSR activities has been intensively developed. Clubs share detailed statistical information about their actions, while some of the clubs even publish their future plans. The quantity and detail of the information found with Primera División clubs is rather varied. Some clubs introduce their CSR activities in full detail; however, in the case of most clubs, the accessible information is rather superficial and lacks any exact descriptions. The findings clearly show that the sports world is consciously shifting towards the realization of sustainable development, which requires a comprehensive reconnection of sporting society and an increase in awareness in order to achieve the efficient and successful integration of CSR activities into sport.
Inadequate physical activity is currently one of the leading risk factors for mortality worldwide. University students are a high-risk group in terms of rates of obesity and lack of physical activity. In recent years, activity trackers have become increasingly popular for measuring physical activity. The aim of the present study is to examine whether university students in Hungary meet the health recommendations (10,000 steps/day) for physical activity and investigate the impact of different variables (semester-exam period, days-weekdays, days, months, sex) on the level of physical activity in free-living conditions for 3 months period. In free-living conditions, 57 healthy university students (male: 25 female: 32 mean age: 19.50 SD = 1.58) wore MiBand 1S activity tracker for 3 months. Independent sample t-tests were used to explore differences between sexes. A One-way analysis of variance (ANOVA) was used to explore differences in measures among different grouping variables and step count. A Two-way ANOVA was conducted to test for differences in the number of steps by days of the week, months, seasons and for sex differences. Tukey HSD post-hoc tests were used to examine significant differences. Students in the study achieved 10,000 steps per day on 17% of days (minimum: 0%; maximum: 76.5%; median: 11.1%). Unfortunately, 70% of the participants did not comply the 10,000 steps at least 80% of the days studied. No statistical difference were found between sexes. However, significant differences were found between BMI categories (underweight <18.50 kg/m2; normal range 18.50–24.99 kg/m2; overweight: 25.00–29.99 kg/m2 obese > 30 kg/m2, the number of steps in the overweight category was significantly lower (F = 72.073, p < 0.001). The average daily steps were significantly higher in autumn (t = 11.457, p < 0.001) than in winter. During exam period average steps/day were significantly lower than during fall semester (t = 13.696, p < 0.001). On weekdays, steps were significantly higher than on weekends (F = 14.017, p < 0.001), and even within this, the greatest physical activity can be done by the middle of the week. Our data suggest that university students may be priority groups for future physical activity interventions. Commercial activity trackers provide huge amount of data for relatively low cost therefore it has the potential to objectively analyze physical activity and plan interventions.
Sports is considered to be an outstanding sector of industry all over the world and can be defined in various fields from business point of view: for example competitive sports, recreation, fitness and entertainment (running commentary). All of these areas have been remarkably transformed by digital technology. Over the past three decades, the discipline sport informatics has become a growing discipline. In today’s connected world, the use of wearable technology, big data analytics, social media and sensor technology have revolutionized the way sports are played, analyzed and improved. Through various modern advances and apps, pro athletes can gain greater insight into their performance, improve training methods and elevate their skills. In addition to these, fans looking for mobile-friendly apps to give them the latest stats on the favorite players; real-time, behind the scenes content coupled with the instant reaction, from athletes and fellow fans alike. They want the highs, the lows, the remix replays, seeking a connection beyond the game and looking to share the experience with like-minded fans in the moment (WESTON, 2018). The aim of this present study, on the one hand, is to determine the interlocks of sports and information technology, on the other hand, to show how to increase fan experience with digital technologies under-propping them with practical examples. According to international literatures, there are 4 macro areas which show the linking between sport and informatics: athletic performance, sport club, event management, fan experience. Mobil fan experience, augmented (AR) and virtual reality (VR), big data, social media are those technologies which even popular are these days in order to enhance fan experience in sport. JEL Classification: L83
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