In this case study, the authors elaborate on the narrative structure of transnational popular media events. Drawing from Dayan and Katz’s concept of media events and Julia Sonnevend’s exceptional work on iconic global media events, they argue that fundamental changes in the way occurrences are being reported on and news is structured must be considered. Allowing for recent technological advancements, the role of the consumer and the compression of time in media use, the authors develop a methodological and theoretical framework fitting a more mundane and everyday life–based approach. They derive their results from the analysis of the “Podgorica Media Event,” a news cycle emerging from a racist incident during an international soccer game between England and Montenegro. Based on the body of 250 international news pieces, they identify a primary mother narration and a distinctive narration as the typical ways of storytelling on a transnational level. While differing greatly in content, aspects of transnational popular media events serve to protect and reify the cultural background they are grounded in on a national level. Thus, we assume that sport, or, more specifically, soccer, may become political in media communication not by the impact of state government but by the consumers themselves choosing and developing a popular media event in the first place.
Jochem Kotthaus, Matthias Schäfer, Nikola Stankovic, and Gerrit Weitzel
David Herzig, Moreno Testorelli, Daniela Schäfer Olstad, Daniel Erlacher, Peter Achermann, Prisca Eser, and Matthias Wilhelm
It is increasingly popular to use heart-rate variability (HRV) to tailor training for athletes. A time-efficient method is HRV assessment during deep sleep.
To validate the selection of deep-sleep segments identified by RR intervals with simultaneous electroencephalography (EEG) recordings and to compare HRV parameters of these segments with those of standard morning supine measurements.
In 11 world-class alpine skiers, RR intervals were monitored during 10 nights, and simultaneous EEGs were recorded during 2–4 nights. Deep sleep was determined from the HRV signal and verified by delta power from the EEG recordings. Four further segments were chosen for HRV determination, namely, a 4-h segment from midnight to 4 AM and three 5-min segments: 1 just before awakening, 1 after waking in supine position, and 1 in standing after orthostatic challenge. Training load was recorded every day.
A total of 80 night and 68 morning measurements of 9 athletes were analyzed. Good correspondence between the phases selected by RR intervals vs those selected by EEG was found. Concerning root-mean-squared difference of successive RR intervals (RMSSD), a marker for parasympathetic activity, the best relationship with the morning supine measurement was found in deep sleep.
HRV is a simple tool for approximating deep-sleep phases, and HRV measurement during deep sleep could provide a time-efficient alternative to HRV in supine position.