The increasing incidence of infertility and contrary the remaining levels of success rate of assisted reproductive therapies (ART) justify expanding the biomedical approach and underline the importance of psychosocial and lifestyle factors. The aim of the study was to examine the effects of pre-treatment physical activity (PA) on the quality of life (QoL) in infertile women. A cross sectional cohort study was carried out involving 50 female patients with infertility diagnosis. Standardized QoL questionnaires and pre-treatment PA patterns were administrated during December 2018 – April 2019 in a university hospital-based fertility centre in South-Hungary. 43% of the women reported regular exercise. Regarding GPAQ moderate intensity PA in work and recreation was preferred. They spent 4.2 hours with active transportation weekly, and 4.5 hours sedentary daily. 68.89% reached the 150min/week MVPA recommendation and 18.2% spent more than 4 hours with exercise Respondents were less satisfied with Physical Domain (57.7±7.5) and most with Psychological Domain (72.2±12.1) of WHOQOL-BREF. Lower QoL by Emotional (56.46±18.12) and Mind-Body (56.84±19.67), mediate by Social (62.76±17.40) and better values by Relational Subscale (76.48±19.62) were measured with FertiQoL. Significant difference between active and inactive group was described for Psychological domain (Z=-2.240, p=0.025). Positive correlation was found between MVPA vs Total MET and Emotional Subscale (p=0.014, p=0.009) and between work-related PA and Mindbody Subscale (p=0.006). Pre-treatment PA could positively affect QoL undergoing ART. However, for more impressive results, objective assessment of physical activity, increased number of participants, and further examinations are needed.

The development of video games can be traced back to the 80s of the last century. The final phase of the gaming industry’s development brought with it another phenomenon — e-sport. “Electronic sport” presupposes playing video games in a competitive setting, with emphasis on increased “institutionalization” of gaming activity through the organization of e-sports teams and official international competitions. In order to define esports, it’s important to note that not every activity of playing video games can be described as e-sport, but every e-sport is essentially playing video games. The interest for the phenomenon of electronic sport has increased over the past several years in all social sciences, including sociology. This paper aims to present several dimensions of the “electronic sport” phenomenon, review the existing research in this field, compare various aspects of e-sports and “traditional” sports, and discuss the formation of new subcultural group gathered around video games. The key task of this paper is to examine the distance between e-sports and “traditional” sport and frame the socio-economic scale of the phenomenon.

Evidence is lacking that describe the status of physical activity (PA) behaviours among adolescents in Kazakhstan. The aims of the study are to examine the associations between PA and screen time behaviours (STB) among children and young adolescents in Kazakhstan. Data were pooled from the 2015/16 Childhood Obesity Surveillance Initiative (COSI) study (N=4932, 49.8% girls, mean (age)=8.77 SD (age) =0.68) and the 2017/18 Health Behaviour in Schoolaged Children (HBSC) study (N=4153, 49.3% girls, Mean(age)=12.93 SD (age)=1.64). Both studies carried out a two-stage cluster sample to determine a national representative sample. Parental reported their children’s PA levels and weekday STB time in the COSI study. In the HBSC study, young adolescents self-reported their PA levels in the past week and the amount of STB hours including TV viewing during weekdays. Data were analysed through DOI: 10.31382/eqol.191202  The number of children and young adolescents who met the PA recommendations reduced among children aged 9y (68.1%), to young adolescents aged 11y (35%), 13y (37%) and 15y (31%). Similarly, there was a reduction in the proportion of adolescents who met the STB recommendations between the ages of 9y (75%), 11y (60%), 13y (53%), and 15y (47%).  Despite some limitations in the methodologies between the COSI and HBSC surveys, and reporting of behaviours, there is a clear pattern that health promoting activities lowers as children transition into young adolescents.