Implementing event-specific pacing strategies should benefit the performance of competitive swimmers. Given differences between swimmers, there is a need for greater individualisation when considering pacing strategy selection across distances and strokes.

In the Department of Respiratory Medicine, North Staffordshire Hospital, patients fulfilling the Department of Health criteria for long-term oxygen therapy (LTOT) attend a practical teaching session on the use of their oxygen concentrator before commencing therapy. In the present study, we have audited the prescribing of LTOT in all patients in three health districts in the North West Midlands reviewed between June 1992 and July 1994. They were split into two groups. The first had the assessment and training programme in the department. Patients in the control group had been prescribed LTOT from outside the department without any formal training. In both groups of patients information was collated 6 months after starting LTOT by means of a questionnaire assessing patients', understanding of both their need for oxygen and their disease process, the dangers of oxygen therapy and present smoking habit. Objective information about the usage of each concentrator was obtained from engineer reports. Thirty-six patients (eight from the trained group and 28 controls) died before evaluation at 6 months. Forty-five patients (29 male, mean age 71 years) received training and 41 control patients (24 male, mean age 72 years) were evaluated. Thirty-seven (82%) patients who had received formal training were using their concentrator for greater than 15 h compared with only 18 (44%) of the controls (P = 0.0002). Forty-two (93%) patients who had received training understood why they were using LTOT compared with only 17 (41%) in the control group (P = 0.00001). Although both groups had a similar understanding of the dangers of smoking while on oxygen therapy, six (15%) of the control group were smoking as compared to only one (2%) of the trained group (P = 0.038). One of the control patients had received significant facial burns as a direct result of smoking while on oxygen. Further efforts are required to ensure that all patients prescribed LTOT should have a formal respiratory assessment as well as training to improve compliance and to obtain maximal benefits from such therapy.

Aim The aim was to predict and understand variations in swimmer performance between individual and relay events, and develop a predictive model for the 4x200-m swimming freestyle relay event to help inform team selection and strategy. Data and methods Race data for 716 relay finals (4 x 200-m freestyle) from 14 international competitions between 2010–2018 were analysed. Individual 200-m freestyle season best time for the same year was located for each swimmer. Linear regression and machine learning was applied to 4 x 200-m swimming freestyle relay events. Results Compared to the individual event, the lowest ranked swimmer in the team (-0.62 s, CI = [−0.94, −0.30]) and American swimmers (−0.48 s [−0.89, −0.08]) typically swam faster 200-m times in relay events. Random forest models predicted gold, silver, bronze and non-medal with 100%, up to 41%, up to 63%, and 93% sensitivity, respectively. Discussion Team finishing position was strongly associated with the differential time to the fastest team (mean decrease in Gini (MDG) when this variable was omitted = 31.3), world rankings of team members (average ranking MDG of 18.9), and the order of swimmers (MDG = 6.9). Differential times are based on the sum of individual swimmer’s season’s best times, and along with world rankings, reflect team strength. In contrast, the order of swimmers reflects strategy. This type of analysis could assist coaches and support staff in selecting swimmers and team orders for relay events to enhance the likelihood of success.

Purpose: Although pacing is considered crucial for success in individual swimming events, there is a lack of research examining pacing in relays. The authors investigated the impact of start lap and pacing strategy on swimming performance and whether these strategies differ between relays and the corresponding individual event. Methods: Race data for 716 relay (4 × 200-m freestyle) finals from 14 international competitions between 2010 and 2018 were analyzed retrospectively. Each swimmer’s individual 200-m freestyle season’s best time for the same year was used for comparison. Races were classified as a fast, average, or slow start lap strategy (lap 1) and as an even, negative, or positive pacing strategy (laps 2–4) to give an overall race strategy, for example, average start lap even pacing. Results: A fast start lap strategy was associated with slower 200-m times (range 0.5–0.9 s, P ≤ .04) irrespective of gender, and positive pacing led to slower 200-m (0.4–0.5 s, P ≤ .03) times in females. A fast start lap strategy led to positive pacing in 71% of swimmers. Half of the swimmers changed pacing strategy, with 13% and 7% more female and male swimmers, respectively, displaying positive pacing in relays compared with individual events. In relays, a fast start lap and positive pacing was utilized more frequently by swimmers positioned on second to fourth relay legs (+13%) compared with lead-off leg swimmers (+3%). Conclusion: To maximize performance, swimmers should be more conservative in the first lap and avoid unnecessary alterations in race strategy in relay events.