Introduction: The extensive availability of the internet has led to the recognition of problematic internet use (so-called internet addiction—IA) mostly concerning adolescents. Aim: Here, we present a study focusing on the prevalence and risk factors of internet addiction in Hungarian high school students, using a questionnaire-based survey. Results: Overall, 3000 paper-based questionnaires were successfully delivered and 2540 responses were received (response rate of 84.6%). A total of 1309 males (mean age 17.6 ± 1.43 years) (51.5%) and 1231 females (mean age 17.5 ± 1.4 years) (48.5%) took part in our study. Internet addiction was detected in 486 (19.1%) students (232 males, mean age 17.6 ± 1.35 years, and 254 females, mean age 17.34 ± 1.37 years) based on the Problematic Internet Use Questionnaire. In a multivariate analysis, age (age of 17, OR = 3.688, p < 0.001), family status (living without parents) (OR = 2.091, p = 0.034), the size of the household (more than five people per household) (OR = 2.546, p = 0.026), spending more than 6 h online (OR = 5.457, p < 0.001), and daily time interval (OR = 84.316, p < 0.001) were significantly associated with internet addiction. Alcohol use (OR = 10.341, p = 0.001), drug intake (OR = 6.689, p = 0.001) and musculoskeletal disorders (OR = 3.966, p = 0.047) were also strongly associated with IA. Conclusion: A significant proportion of our students suffered from IA, which is associated with substance intake (possible abuse) and musculoskeletal pain in the multivariate analysis. Our study also draws attention to the preventable risk factors of IA, such as working hours or nighttime internet use, number of hours spent online and family surroundings.

Background: Esports are highly prevalent in modern culture, particularly among young people, and are a healthy hobby for the majority of users. However, there is a possible link between video gaming (including esports) and problematic internet use (so-called internet addiction, IA), mostly involving adolescents. Methods: Here we present an online survey focusing on the prevalence and risk factors of internet addiction among adult esports players. Demographics included age, gender, family type, type of work, working years and daily internet use. Medical conditions associated with IA such as smoking, alcohol and drug intake, hypertension, diabetes, ischemic heart disease, musculoskeletal pain and history of depression were also recorded. Results: Overall, 2313 players including 176 females (7.6%) and 2137 males (92.4%) participated in our online survey. Age distribution was the following: 18–25 years 90.3% (2088/2313), 26–35 years 7.95% (184/2313), 36–45 years 0.86% (20/2313), 46–55 years 0.82% (19/2313), 56–62 years 0.04% (1/2313) and 62 years or older 0.04% (1/2313). Internet addiction was detected in 19.9% of players (461/2313) based on the Problematic Internet Use Questionnaire. In a multivariate analysis internet addiction was significantly associated with age between 18 and 25 (OR: 1.675, p = 0.002), being single (OR = 1.505, p = 0.014), internet use > 6 h daily (OR = 4.338, p < 0.001), having < 3 children (OR: 2.037, p = 0.023) and having secondary employment (OR = 1.789, p = 0.037). Regular alcohol intake (OR = 18.357, p < 0.001) and history of depression (OR= 5.361, p = 0.032) were also strongly correlated with IA. Conclusion: This is the first study from Hungary investigating the prevalence and risk factors of internet addiction among adult esports players. One out of five adult gamers suffered from IA. Our study also draws attention to increased risk within this group and risk factors such as younger age, family status and type of employment.

Összefoglaló. Bevezetés: Napjaink egyik legszélesebb körben emlegetett jelensége a kiégés (burnout), mely a leggyakrabban a segítő szakmákban dolgozókat érinti. Célkitűzés: Munkánk célja a kiégés jelenségének komplex vizsgálata szociális munkások körében. Módszerek: A demográfiai adatok felvétele mellett a kiégés vizsgálatához a Maslach Burnout Inventory (MBI) kérdőívet használtuk, a kognitív/viselkedésbeli hibákat, diszfunkcionális elvárásokat pedig a Diszfunkcionális Attitűd Skála (DAS) segítségével térképeztük fel. A hangulatzavar kimutatásához a Beck Depresszió Kérdőív rövidített változatát alkalmaztuk, továbbá az Erőfeszítés–Jutalom Egyensúlytalanság Kérdőív és a Társas Támogatás Kérdőív is kitöltésre került. Eredmények: Összesen 300 fő töltötte ki a kérdőívet: 106 férfi, 194 nő. A munkavállalók döntően a fiatal/középkorú korcsoporthoz tartoznak, a 26–45 év közöttiek aránya 52,2%. Az átlagos kiégési pontszám 53,9 (SD = 18,7) volt, melyből 105 fő (35,1%) alacsony, 182 fő közepes (60,6%) és 13 fő (4,3%) súlyos kiégéssel érintett. A multivariációs analízis során a női nem (OR: 5,857), az életkor (OR: 4,126), a munkában eltöltött évek (OR: 2,721), a sokgyermekes család (OR: 2,861) és a társas támogatás hiánya (OR: 2,81) bizonyultak a kiégés független rizikótényezőinek (p<0,05 minden esetben). A depresszió és a kiégés (p<0,001), valamint a diszfunkcionális attitűdök és a kiégés között pozitív kapcsolat igazolódott (korrelációs együttható = 0,316; p<0,001). Következtetés: Eredményeink alapján a szociális munkások jelentős része közepes fokú kiégésben, 5%-uk pedig súlyos fokú kiégésben szenved. A kiégésnek vannak befolyásolható (munkahelyi attitűdök, társas támogatás) és nem befolyásolható (életkor, nem, család) tényezői, melyeket az esetleges prevenciós, illetve intervenciós beavatkozások során figyelembe kell venni. Orv Hetil. 2020; 161(44): 1884–1890. Summary. Introduction: Burnout is increasingly prevalent mainly involving employees working in the social sphere. Objective: The aim of our study was to examine the complexity of burnout among social workers. Methods: Baseline demographic data were recorded. Burnout was assessed by the Maslach Burnout Inventory (MBI), and the intensities of dysfunctional attitudes were also studied. Depression was detected by the abbreviated version of the Beck Depression Questionnaire, furthermore social supports and effort–reward imbalance were also examined. Results: Overall 300 employees participated in our study. Age group distribution was young/middle-aged access, the vast majority of the workers was between 25 and 45 years. The mean burnout scale was 53.9 (SD = 18.7), 105 workers had mild (35.1%), 182 moderate (60.6%) and 13 severe (4.3%) burnout. In a multivariate analysis, the female gender (OR: 5.857), the age (OR: 4.126), the years spent with working (OR: 2.721), the number of children (>3) (OR: 2.861) and the lack of social support (OR: 2.81) were independently associated with burnout (p<0.05 in all cases). There was a significant association among burnout, depression and dysfunctional attitudes. Conclusion: The vast majority of our social workers suffered from moderate and a small, but a significant proportion from severe burnout. Our work draws attention to the modifiable and unmodifiable risk factors of burnout in this population, which may help in the development of preventive strategies. Orv Hetil. 2020; 161(44): 1884–1890.

This survey-based study compared socio-cultural values and perceptions of organizational culture characteristics held by more than 3,300 managers and employees in twelve business organizations in Hungary, Russia, Georgia, Kazakhstan, and the Kyrgyz Republic. Significant differences were found between the five countries on

Background: Occupational accidents are rising, but there is little evidence on the outcomes of patients who received case management during Return to work (RTW) programs. This study examined the case management-based on RTW program features that improve the work ability index (WAI) and quality of life (QoL). Methods: This cross-sectional research involved 230 disabled workers due to an occupational injury in Indonesia, 154 participated in RTW, and 75 did not participate in RTW (non-RTW) during the COVID-19 pandemic. Sociodemographic and occupational factors were used to examine the RTW results. We used the Finnish Institute of Occupational Health’s WAI questionnaires to measure the work ability index and World Health Organization Quality of Life Brief Version (WHOQOL-BREF) for quality of life. Results: The study found a statistically significant difference in working duration and preferred treatment for RTW between the groups (p-value = 0.039). Furthermore, the quality of life in the domain of environmental health and work ability index score also demonstrated a significant difference between the groups (p-value = 0.023 and 0.000, respectively). Conclusions: During the COVID-19 pandemic, this study found that the RTW program improved the quality of life and work abilities of disabled workers.