Platelets play a fundamental role in normal hemostasis, while their inherited or acquired dysfunctions are involved in a variety of bleeding disorders or thrombotic events. Several laboratory methodologies or point-of-care testing methods are currently available for clinical and experimental settings. These methods describe different aspects of platelet function based on platelet aggregation, platelet adhesion, the viscoelastic properties during clot formation, the evaluation of thromboxane metabolism or certain flow cytometry techniques. Platelet aggregometry is applied in different clinical settings as monitoring response to antiplatelet therapies, the assessment of perioperative bleeding risk, the diagnosis of inherited bleeding disorders or in transfusion medicine. The rationale for platelet function-driven antiplatelet therapy was based on the result of several studies on patients undergoing percutaneous coronary intervention (PCI), where an association between high platelet reactivity despite P2Y12 inhibition and ischemic events as stent thrombosis or cardiovascular death was found. However, recent large scale randomized, controlled trials have consistently failed to demonstrate a benefit of personalised antiplatelet therapy based on platelet function testing.

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.

The extensive availability of Internet has led to the recognition of problematic Internet use (so called Internet addiction, IA) mostly involving adolescents. There are limited data about the prevalence and consequences of IA in adults especially among high school teachers. Here, we present a cross-sectional prospective study focusing on the association of Internet addiction with burnout, depression, insomnia, and lower quality of life among high school teachers taking many co-variates into account. Overall, 623 males (34.3%) and 1194 females (65.7%) participated in our study. Internet addiction was detected in 5.2% (95/1817) based on the Problematic Internet Use Questionnaire. Internet addiction was associated with severe burnout (10.5 vs. 2.7%, p < 0.001), moderate (36.8 vs. 1.7%, p < 0.001), and severe (6.3 vs. 0.1%, p < 0.001) depression, insomnia (23.1 vs. 11.4%, p < 0.001), and severe sleep disturbance (severe insomnia, 27.4 vs. 3.8%, p < 0.001) and lower quality of life in all domains (p < 0.001). There was also a significant correlation of the severity of the above-mentioned parameters and the severity of IA (overall scores, p < 0.001 in all cases). In a multivariate analysis including demographic criteria, risk factors medical conditions and the above-mentioned parameters as co-variates internet addiction was significantly associated with depression (OR = 3.836, CI: 2.92–5.44, p = 0.03), and insomnia (OR: 3.932, CI: 3.6–5.69, p = 0.002). This is the first study from Hungary and is one of the first studies showing the association of IA with mental issues, burnout, and lower quality of life among adults. It underlines the clinical importance of problematic Internet use among adults.

The extensive availability of the internet has led to the recognition of problematic internet use, the so-called Internet Addiction (IA), mostly involving adolescents. Burnout can lead to substance abuse or addictive behaviour (such as internet addiction) as a coping method. There are insufficient data about internet addiction and its possible association with burnout in adults, especially among healthcare workers. The aim of our present study was to focus on prevalence and the risk factors of internet addiction and its possible association with burnout among healthcare workers in a single hospital applying a questionnaire-based survey. In total, 49 doctors (10.1%), 198 nurses (40.9%), 123 medical assistant (25.4%), 73 other healthcare workers (15.1%), and 42 (1.7%) healthcare associated workers (cleaning, laundry, etc.) have completed our survey. In a multivariate analysis, IA was associated with age between 18 and 25 (OR: 2.6, p = 0.024), surfing on the internet >5 h daily (OR 25.583, p < 0.001), being single (OR: 4.275, p = 0.006), being childless (OR: 3.81, p = 0.011), working less than five years (OR 2.135, p = 0.048) and job type (being healthcare associated worker, OR: 2.907, p = 0.009). Illicit drug intake (OR 52.494, p < 0.001), and diabetes (OR: 4.122, p = 0.043) were also significantly associated with internet addiction. No association of burnout and IA could be found. A small but significant proportion of our healthcare workers suffered from IA, which was associated with substance abuse and diabetes in multivariate analysis. Our study also draws attention to the risk factors of IA such as younger age, family status, working type and working hours internet use. The possible association of burnout and IA merits further investigation.

The purpose of this study was: (1) to assess levels of burnout, work-related quality of life (WRQoL) and mental health symptoms among a sample of active workers living in Portugal; (2) to analyze differences in burnout, WRQoL and mental health symptoms by gender and shift work; (3) to analyze association levels among all variables under study; (4) to determine the predictive effect of burnout and WRQoL on mental health symptoms; and (5) to assess the mediating effect of burnout on the association between WRQoL and mental health symptoms. Eight-hundred and forty-one Portuguese active workers between 18 and 67 years of age participated in this study (Mean = 37.23; SD = 11.99). Results showed that women participants scored higher in burnout and mental health symptoms, and lower in overall WRQoL, than men; additionally, participants who worked in shifts presented higher mental health symptoms. Significant correlations were found for all variables and regression analysis demonstrated that 56% of the overall variance of mental health symptoms was explained by older age, shift work, lower WRQoL, and burnout (exhaustion and cognitive impairment). Finally, the mediation effect of burnout on the association between WRQoL and mental health symptoms was statistically significant. These findings are useful for health professionals and health managers who work in the field of occupational health in identifying variables affecting burnout, WRQoL and mental health symptoms.

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.