Search

Purpose: To describe training loads during an Ironman training program based on intensity zones and observe training–performance relationships. Methods: Nine triathletes completed a program with the same periodization model aiming at participation in the same Ironman event. Before and during the study, subjects performed ramp-protocol tests, running, and cycling to determine aerobic (AeT) and anaerobic thresholds (AnT) through gas-exchange analysis. For swimming, subjects performed a graded lactate test to determine AeT and AnT. Training was subsequently controlled by heart rate (HR) during each training session over 18 wk. Training and the competition were both quantified based on the cumulative time spent in 3 intensity zones: zone 1 (low intensity; AnT). Results: Most of training time was spent in zone 1 (68% ± 14%), whereas the Ironman competition was primarily performed in zone 2 (59% ± 22%). Significant inverse correlations were found between both total training time and training time in zone 1 vs performance time in competition (r = –.69 and –.92, respectively). In contrast, there was a moderate positive correlation between total training time in zone 2 and performance time in competition (r = .53) and a strong positive correlation between percentage of total training time in zone 2 and performance time in competition (r = .94). Conclusions: While athletes perform with HR mainly in zone 2, better performances are associated with more training time spent in zone 1. A high amount of cycling training in zone 2 may contribute to poorer overall performance. [ABSTRACT FROM AUTHOR]

Purpose: To quantify the impact of training-intensity distribution on 10K performance in recreational athletes. Methods: 30 endurance runners were randomly assigned to a training program emphasizing low-intensity, sub-ventilatory-threshold (VT), polarized endurance-training distribution (PET) or a moderately high-intensity (between-thresholds) endurance-training program (BThET). Before the study, the subjects performed a maximal exercise test to determine VT and respiratory-compensation threshold (RCT), which allowed training to be controlled based on heart rate during each training session over the 10-wk intervention period. Subjects performed a 10-km race on the same course before and after the intervention period. Training was quantified based on the cumulative time spent in 3 intensity zones: zone 1 (low intensity, RCT). The contribution of total training time in each zone was controlled to have more low-intensity training in PET (±77/3/20), whereas for BThET the distribution was higher in zone 2 and lower in zone 1 (±46/35/19). Results: Both groups significantly improved their 10K time (39min18s ± 4min54s vs 37min19s ± 4min42s, P < .0001 for PET; 39min24s ± 3min54s vs 38min0s ± 4min24s, P < .001 for BThET). Improvements were 5.0% vs 3.6%, ~41 s difference at post-training-intervention. This difference was not significant. However, a subset analysis comparing the 12 runners who actually performed the most PET (n = 6) and BThET (n = 16) distributions showed greater improvement in PET by 1.29 standardized Cohen effect-size units (90% CI 0.31–2.27, P = .038). Conclusions: Polarized training can stimulate greater training effects than between-thresholds training in recreational runners. [ABSTRACT FROM AUTHOR]

The goal of this study was to examine risk/protective factors to criminality in an adolescent population. Retrospective chart review was utilized to gather data on psychiatric history, substance use, and criminality among adolescent patients within a psychiatric outpatient clinic at a university school of medicine. An earlier age of psychiatric diagnosis and comorbid substance use was found to be a marked risk factor for criminality, whereas female gender and education were shown to be protective factors. These findings can aid in intervention strategies targeted at adolescents who are most at risk for criminality. [ABSTRACT FROM AUTHOR]

Probiotics are often used in critically ill patients to prevent antibiotic-associated complications, including Clostridium difficile colitis. However, clinical evidence of their efficacy is lacking. The objective of this study is to assess the impact of prophylactic probiotic administration on bowel function, gut microbial diversity, and nutritional markers in adult burn patients. A retrospective cohort study was done on 108 burn patients aged 18 to 89. Patients were given >1 million colony-forming units per day of Lactobacillus acidophilus and Lactobacillus rhamnosus. Testing for C. difficile was used as a surrogate marker for the presence of diarrhea. Serum C-reactive protein and prealbumin values were measured. Additionally, the gut microbial diversity of eight patients was tracked via 16S quantitative PCR before and throughout the course of a standard probiotic regimen. Patients receiving oral probiotics had more reported diarrhea in the first and second weeks of treatment. In the second week, C-reactive protein levels were increased, while serum prealbumin levels were lower in patients receiving probiotics, suggesting potential malabsorption. Additionally, there was no difference in C. difficile infection, sepsis rates, emesis, or gastric residuals, indicating an absence of therapeutic benefit for probiotic administration in burn patients. Furthermore, it was determined that no discernible benefit to gut microbial diversity was conferred by probiotic therapy. Prophylactic probiotics in burn patients are not associated with improvements in patient outcomes and may in fact be associated with an increased incidence of diarrhea and malabsorption. Additional research is needed before routine use in burn patients. [ABSTRACT FROM AUTHOR]