The purpose of this study was to develop and evaluate a drop-and-stick (DS) test method and to assess dynamic postural control in senior elite (SE), junior elite (JE), and junior development (JD) surfers. Nine SE, 22 JE, and 17 JD competitive surfers participated in a single testing session. The athletes completed 5 drop-and-stick trials barefoot from a predetermined box height (0.5 m). The lowest and highest time-to-stabilization (TTS) trials were discarded, and the average of the remaining trials was used for analysis. The SE group demonstrated excellent single-measures repeatability (ICC = .90) for TTS, whereas the JE and JD demonstrated good single-measures repeatability (ICC .82 and .88, respectively). In regard to relative peak landing force (rPLF), SE demonstrated poor single-measures reliability compared with JE and JD groups. Furthermore, TTS for the SE (0.69 ± 0.13 s) group was significantly (P = .04) lower than the JD (0.85 ± 0.25 s). There were no significant (P = .41) differences in the TTS between SE (0.69 ± 0.13 s) and JE (0.75 ± 0.16 s) groups or between the JE and JD groups (P = .09). rPLF for the SE (2.7 ± 0.4 body mass; BM) group was significantly lower than the JE (3.8 ± 1.3 BM) and JD (4.0 ± 1.1 BM), with no significant (P = .63) difference between the JE and JD groups. A possible benchmark approach for practitioners would be to use TTS and rPLF as a qualitative measure of dynamic postural control using a reference scale to discriminate among groups.
Tai T. Tran, Lina Lundgren, Josh Secomb, Oliver R.L. Farley, G. Gregory Haff, Robert U. Newton, Sophia Nimphius and Jeremy M. Sheppard
Christine L. LaLanne, Michael S. Cannady, Joseph F. Moon, Danica L. Taylor, Jeff A. Nessler, George H. Crocker and Sean C. Newcomer
Participation in surfing has evolved to include all age groups. Therefore, the purpose of this study was to determine whether activity levels and cardiovascular responses to surfing change with age. Surfing time and heart rate (HR) were measured for the total surfing session and within each activity of surfing (paddling, sitting, wave riding, and miscellaneous). Peak oxygen consumption (VO2peak) was also measured during laboratory-based simulated surfboard paddling on a modified swim bench ergometer. VO2peak decreased with age during simulated paddling (r = –.455, p < .001, n = 68). Total time surfing (p = .837) and time spent within each activity of surfing did not differ with age (n = 160). Mean HR during surfing significantly decreased with age (r = –.231, p = .004). However, surfing HR expressed as a percent of age-predicted maximum increased significantly with age. Therefore, recreational surfers across the age spectrum are achieving intensities and durations that are consistent with guidelines for cardiovascular health.
Lenny D. Wiersma
Extreme sport athletes perform in environments that are characterized by danger, unpredictability, and fear, and the consequences of a mistake include severe injury or death. Maverick’s is a big-wave surfing location in northern California that is known for its cold water temperatures, dangerous ocean wildlife, deep reef, and other navigational hazards. The purpose of this study was to use a phenomenological framework to understand the psychology of big-wave surfing at Maverick’s. Seven elite big-wave surfers completed in-depth phenomenological interviews and discussed the psychology related to various stages of big-wave surfing, including presurf, in the lineup, catching the wave, riding the wave, wiping out, and postsurf. Big-wave surfers described a variety of experiences associated with surfing at Maverick’s and discussed several ways that they coped with its challenges. The results provide a greater understanding of the psychology of participating in an extreme environment.
Josh L. Secomb, Jeremy M. Sheppard and Ben J. Dascombe
To provide a descriptive and quantitative time–motion analysis of surfing training with the use of global positioning system (GPS) and heart-rate (HR) technology.
Fifteen male surfing athletes (22.1 ± 3.9 y, 175.4 ± 6.4 cm, 72.5 ± 7.7 kg) performed a 2-h surfing training session, wearing both a GPS unit and an HR monitor. An individual digital video recording was taken of the entire surfing duration. Repeated-measures ANOVAs were used to determine any effects of time on the physical and physiological measures.
Participants covered 6293.2 ± 1826.1 m during the 2-h surfing training session and recorded measures of average speed, HRaverage, and HRpeak as 52.4 ± 15.2 m/min, 128 ± 13 beats/min, and 171 ± 12 beats/min, respectively. Furthermore, the relative mean times spent performing paddling, sprint paddling to catch waves, stationary, wave riding, and recovery of the surfboard were 42.6% ± 9.9%, 4.1% ± 1.2%, 52.8% ± 12.4%, 2.5% ± 1.9%, and 2.1% ± 1.7%, respectively.
The results demonstrate that a 2-h surfing training session is performed at a lower intensity than competitive heats. This is likely due to the onset of fatigue and a pacing strategy used by participants. Furthermore, surfing training sessions do not appear to appropriately condition surfers for competitive events. As a result, coaches working with surfing athletes should consider altering training sessions to incorporate repeated-effort sprint paddling to more effectively physically prepare surfers for competitive events.
for waves to come, post-surf hang outs in cafes, carpark battles, and hours spent checking weather forecasts. In this way, the book focuses on the smallest part of the sport—the spectacle of wave-riding over the banality of everyday surfing interactions. Like all cultures, surfing tends to do a lot of
Jeff A. Nessler, Thomas Hastings, Kevin Greer and Sean C. Newcomer
examined here. Additional study of other surfing-related activities (eg, wave riding, duck-diving) and other potential mechanisms of low back pain are necessary to conclusively identify the primary factors that contribute to low back pain in this population. There were a number of limitations to the