Wählen per Internet verändert die Schweiz

Der Autor befasst sich mit dem Thema e-Voting am Beispiel der Schweiz. Umwählen zu gehen, begibt sich der Bürger auf Wählerseiten im Internet. Dort beantwortet er zuerst 10 Fragen zu bedeutsamen politischen Themen. Je nach seinen Antworten werden die dafür politisch eintretenden Kandidaten vorgestellt. Der Wähler kann sich nun detailliert über sie und ihre politischen Positionen informieren und dann entscheiden, welchem Politiker er seine Stimme gibt. Voraussetzung hierfür ist, dass die Kandidaten präzise Angaben über ihre Person und die von ihnen vertretene Politik im Internet zugänglich machen, da sie ansonsten auf den Wahlseiten nicht zugelassen würden und somit ihre Chancen, gewählt zu werden, minimieren würden. Hat der Bürger sich festgelegt, schickt er das Dokument zur Auswertung an einen Server des Staates, der dann innerhalb von Stunden das neue Wahlergebnis präsentieren könnte. Die Wahlseiten selbst werden wahrscheinlich nicht vom Staat kontrolliert, da die Regierung diese manipulieren könnte. Wenn aber die Gestaltung der Seiten in private Hand gelegt wird, besteht die Gefahr, dass die Listen nicht als offizielle Wahllisten anerkannt werden. Hier besteht also noch Klärungsbedarf. Ein klarer Vorteil solcher Wahlseiten ist, dass die Ziele und Interessen der Politiker noch transparenter werden. Das Internet bietet dem Bürger die Möglichkeit, seine persönlichen Interessen mit denen der Politiker zu vergleichen und sich dann nach einem Abwägunsprozess zu entscheiden. ,,In einigen Jahren werden hier zu Lande Wahlurnen ganz verschwinden", prophezeit der Autor und verweist auf die Arbeit einer Projektgruppe, die die noch offenen Fragen des E-Votings klären will.

A U-shaped association between intensity of Internet use and adolescent health.

OBJECTIVE: To examine the relationship between different Internet-use intensities and adolescent mental and somatic health. METHODS: Data were drawn from the 2002 Swiss Multicenter Adolescent Survey on Health, a nationally representative survey of adolescents aged 16 to 20 years in post-mandatory school. From a self-administered anonymous questionnaire, 3906 adolescent boys and 3305 girls were categorized into 4 groups according to their intensity of Internet use: heavy Internet users (HIUs; >2 hours/day), regular Internet users (RIUs; several days per week and <= 2 hours/day), occasional users (<= 1 hour/week), and non-Internet users (NIUs; no use in the previous month). Health factors examined were perceived health, depression, overweight, headaches and back pain, and insufficient sleep. RESULTS: In controlled multivariate analysis, using RIUs as a reference, HIUs of both genders were more likely to report higher depressive scores, whereas only male users were found at increased risk of overweight and female users at increased risk of insufficient sleep. Male NIUs and female NIUs and occasional users also were found at increased risk of higher depressive scores. Back-pain complaints were found predominantly among male NIUs. CONCLUSIONS: Our study provides evidence of a U-shaped relationship between intensity of Internet use and poorer mental health of adolescents. In addition, HIUs were confirmed at increased risk for somatic health problems. Thus, health professionals should be on the alert when caring for adolescents who report either heavy Internet use or very little/none. Also, they should consider regular Internet use as a normative behavior without major health consequence. Pediatrics 2011;127:e330-e335

Internet-Based Brief Intervention to Prevent Unhealthy Alcohol Use among Young Men: A Randomized Controlled Trial.

Alcohol use is one of the leading modifiable morbidity and mortality risk factors among young adults. 2 parallel-group randomized controlled trial with follow-up at 1 and 6 months. Internet based study in a general population sample of young men with low-risk drinking, recruited between June 2012 and February 2013. Intervention: Internet-based brief alcohol primary prevention intervention (IBI). The IBI aims at preventing an increase in alcohol use: it consists of normative feedback, feedback on consequences, calorific value alcohol, computed blood alcohol concentration, indication that the reported alcohol use is associated with no or limited risks for health. Intervention group participants received the IBI. Control group (CG) participants completed only an assessment. Alcohol use (number of drinks per week), binge drinking prevalence. Analyses were conducted in 2014-2015. Of 4365 men invited to participate, 1633 did so; 896 reported low-risk drinking and were randomized (IBI: n = 451; CG: n = 445). At baseline, 1 and 6 months, the mean (SD) number of drinks/week was 2.4(2.2), 2.3(2.6), 2.5(3.0) for IBI, and 2.4(2.3), 2.8(3.7), 2.7(3.9) for CG. Binge drinking, absent at baseline, was reported by 14.4% (IBI) and 19.0% (CG) at 1 month and by 13.3% (IBI) and 13.0% (CG) at 6 months. At 1 month, beneficial intervention effects were observed on the number of drinks/week (p = 0.05). No significant differences were observed at 6 months. We found protective short term effects of a primary prevention IBI. Controlled-Trials.com ISRCTN55991918.

The relation between internet use and overweight among adolescents: a longitudinal study in Switzerland.

OBJECTIVE: This longitudinal study aimed to investigate the characteristics and predictive risk factors of overweight among adolescents. The hypothesis was that baseline overweight predicted most overweight over time compared to other factors, especially excessive internet use. SUBJECTS: A sample of 621 youths were followed from age 14 (T0 Spring 2012) to age 16 (T1 Spring 2014) in Switzerland. Participants were divided into two groups according to their weight at the final assessment: overweight and non-overweight. At T0, participants reported demographic, health, substance use and internet use data. A logistic regression was performed to assess the explanatory variables of overweight at T1. Data are presented as adjusted odds ratios (aORs) with 95% confidence interval. RESULTS: The 2-year evolution showed a net BMI increase of 4.8%. Overweight adolescents were significantly more likely to be male, to live in an urban area, to be on a diet and to report using the internet more than 2 h per day on weekends at T0. However, with the addition of baseline overweight, only the excessive use of internet on weekends remained as an explanatory variable. An adolescent who was already overweight at T0 had a more than 20-fold risk (aOR 21.04) of being overweight 2 years later. Moreover, among adolescents becoming overweight between T0 and T1, internet use did not show any significant effect. CONCLUSION: The risk of being overweight is mostly influenced by weight status at baseline compared to excessive internet use. Thus, our results do not confirm the negative effect of internet on healthier activities. Internet use could at most reinforce an already existing risk of being overweight.

Internet-Based Brief Intervention to Prevent Unhealthy Alcohol Use among Young Men: A Randomized Controlled Trial.

INTRODUCTION: Alcohol use is one of the leading modifiable morbidity and mortality risk factors among young adults. STUDY DESIGN: 2 parallel-group randomized controlled trial with follow-up at 1 and 6 months. SETTING/PARTICIPANTS: Internet based study in a general population sample of young men with low-risk drinking, recruited between June 2012 and February 2013. INTERVENTION: Internet-based brief alcohol primary prevention intervention (IBI). The IBI aims at preventing an increase in alcohol use: it consists of normative feedback, feedback on consequences, calorific value alcohol, computed blood alcohol concentration, indication that the reported alcohol use is associated with no or limited risks for health. INTERVENTION group participants received the IBI. Control group (CG) participants completed only an assessment. MAIN OUTCOME MEASURES: Alcohol use (number of drinks per week), binge drinking prevalence. Analyses were conducted in 2014-2015. RESULTS: Of 4365 men invited to participate, 1633 did so; 896 reported low-risk drinking and were randomized (IBI: n = 451; CG: n = 445). At baseline, 1 and 6 months, the mean (SD) number of drinks/week was 2.4(2.2), 2.3(2.6), 2.5(3.0) for IBI, and 2.4(2.3), 2.8(3.7), 2.7(3.9) for CG. Binge drinking, absent at baseline, was reported by 14.4% (IBI) and 19.0% (CG) at 1 month and by 13.3% (IBI) and 13.0% (CG) at 6 months. At 1 month, beneficial intervention effects were observed on the number of drinks/week (p = 0.05). No significant differences were observed at 6 months. CONCLUSION: We found protective short term effects of a primary prevention IBI. TRIAL REGISTRATION: Controlled-Trials.com ISRCTN55991918.

Reframing video gaming and internet use addiction : empirical cross-national comparison of heavy use over time and addiction scales among young users

BACKGROUND AND AIMS: Evidence-based and reliable measures of addictive disorders are needed in general population-based assessments. One study suggested that heavy use over time (UOT) should be used instead of self-reported addiction scales (AS). This study compared UOT and AS regarding video gaming and internet use empirically, using associations with comorbid factors. DESIGN: Cross-sectional data from the 2011 French Survey on Health and Consumption on Call-up and Preparation for Defence-Day (ESCAPAD), cross-sectional data from the 2012 Swiss ado@internet.ch study and two waves of longitudinal data (2010-13) of the Swiss Longitudinal Cohort Study on Substance Use Risk Factors (C-SURF). SETTING: Three representative samples from the general population of French and Swiss adolescents and young Swiss men, aged approximately 17, 14 and 20 years, respectively. PARTICIPANTS: ESCAPAD: n =22 945 (47.4% men); ado@internet.ch: n =3049 (50% men); C-SURF: n =4813 (baseline + follow-up, 100% men). MEASUREMENTS: We assessed video gaming/internet UOT ESCAPAD and ado@internet.ch: number of hours spent online per week, C-SURF: latent score of time spent gaming/using internet] and AS (ESCAPAD: Problematic Internet Use Questionnaire, ado@internet.ch: Internet Addiction Test, C-SURF: Gaming AS). Comorbidities were assessed with health outcomes (ESCAPAD: physical health evaluation with a single item, suicidal thoughts, and appointment with a psychiatrist; ado@internet.ch: WHO-5 and somatic health problems; C-SURF: Short Form 12 (SF-12 Health Survey) and Major Depression Inventory (MDI). FINDINGS: UOT and AS were correlated moderately (ESCAPAD: r = 0.40, ado@internet.ch: r = 0.53 and C-SURF: r = 0.51). Associations of AS with comorbidity factors were higher than those of UOT in cross-sectional (AS: .005 ≤ |b| ≤ 2.500, UOT: 0.001 ≤ |b| ≤ 1.000) and longitudinal analyses (AS: 0.093 ≤ |b| ≤ 1.079, UOT: 0.020 ≤ |b| ≤ 0.329). The results were similar across gender in ESCAPAD and ado@internet.ch (men: AS: 0.006 ≤ |b| ≤ 0.211, UOT: 0.001 ≤ |b| ≤ 0.061; women: AS: 0.004 ≤ |b| ≤ 0.155, UOT: 0.001 ≤ |b| ≤ 0.094). CONCLUSIONS: The measurement of heavy use over time captures part of addictive video gaming/internet use without overlapping to a large extent with the results of measuring by self-reported addiction scales (AS). Measuring addictive video gaming/internet use via self-reported addiction scales relates more strongly to comorbidity factors than heavy use over time.