The aims of this review are to (1) summarise the current research of sports clothing as it relates to thermoregulation, comfort, and performance during exercise in the heat, (2) identify methodological limitations and gaps in the knowledge base of sports clothing, and (3) provide recommendations for exercise testing protocols to accurately assess the impact of sports clothing in athletic populations during exercise in the heat. Sports clothing consists of lightweight and breathable fabrics, surface treatments, and various designs which aim to enhance sweat evaporation and comfort during exercise in the heat. Sports clothing comprised of natural, synthetic, and chemically treated fabrics has been investigated during exercise of varying durations (15–120 min), intensities (20–70% VO₂ max) and types (fixed intensity, incremental, self-paced), and in an array of climatic conditions (18–40 °C, 20–60% relative humidity). To date, few studies have identified significant differences in thermo-physiological, perceptual, and performance measures between natural and synthetic fabrics or compared the effect of chemical treatments to their non-treated equivalent on such measures during exercise. Collectively, previous wearer trials have failed to replicate the upper limit of training and competition demands when assessing sports clothing in endurance-trained individuals who regularly train and compete in hot and humid climates. Clothing comfort has also been evaluated using simple scales which fail to capture intricate detail pertaining to psychological and sensorial parameters. The incorporation of protocols using hot and humid climates (≥ 30 °C, ≥ 70% relative humidity) and longer exercise durations (> 45 min) is warranted. Future research should also consider exploring the effect of sports clothing on thermal, physiological, perceptual, and performance measures between males and females, and assessing clothing comfort using a multi-dimensional approach.

The primary purpose of this study was to investigate high performance athlete perceptions of strength and conditioning coaches, specifically, (1) their character traits, (2) the effective behaviours that display these traits, and (3) how these relationships were fostered. Using the 3+1 C’s model of coach–athlete relationships as a framework (Jowett, 2007), 12 semi-structured interviews were conducted with high performance athletes (six female; six male) representing a variety of sports (i.e., freestyle wrestling, triathlon, field hockey, cycling, rowing, rugby union, netball, table tennis, and ice hockey). Participants ranged in age from 18 to 53 years (M = 29, SD = 9). Interviews took between 19–47 min and were transcribed verbatim. The transcripts equated to a total of 188 pages of data that were analyzed, coded, and further grouped into higher-order themes and general dimensions. The findings revealed 14 higher-order themes categorized under the 3+1 C’s general dimensions of closeness, commitment, complementarity, and co-orientation.

Anterior cruciate ligament (ACL) injuries have been a rising concern in the early years of the women’s Australian Football League (AFLW), eliciting headlines of a ‘knee crisis’ surrounding the league. There has been a focus on female biology as the primary factor driving the high rate of ACL injuries in the AFLW. Emphasising Australian football (AF) as being dangerous predominantly due to female biology may be misrepresenting a root cause of the ACL injury problem, perpetuating gender stereotypes that can restrict physical development and participation of women and girls in the sport. We propose that an approach addressing environmental and sociocultural factors, along with biological determinants, is required to truly challenge the ACL injury problem in the AFLW. Sports science and medicine must therefore strive to understand the whole system of women in AF, and question how to address inequities for the benefit of the athletes.

The efficacy of high-intensity interval training (HIIT) to elicit physiological and performance adaptations in endurance athletes has been established in men and to a lesser extent in women. This study compared lactate threshold (LT2) and performance adaptations to HIIT between men and women. Nine male and eight female cyclists and triathletes completed trials to determine their LT2 and 40 km cycling performance before, and after 10 HIIT sessions. Each HIIT session consisted of 10 x 90 s at peak power output, separated by 60 s active recovery. Main effects showed that HIIT improved peak power output (p = 0.05; ES: 0.2); relative peak power output (W.kg(-1); p = 0.04; ES: 0.3 and W.kg(-0.32); p = 0.04; ES: 0.3); incremental time to fatigue (p = 0.01; ES: 0.4), time trial time (p < 0.001; ES: 0.7) and time trial power output (p < 0.001; ES: 0.7) equally in both sexes. Although LT2 power output explained 77% of the performance improvement in women, no variable explained the performance improvement in men, suggesting another mechanism(s) was involved. Although HIIT improved cycling performance in men and women, it might not be appropriate to evaluate the effectiveness of HIIT using the same variables for both sexes.

Purpose : This study aimed to determine the level of agreement between critical power (CP) and the second lactate threshold in rowers, examine their respective relationships with rowing performance, and assess the accuracy of the CP model in predicting 2000-m rowing time. Methods : Previously collected data were retrieved from well-trained, national or international standard male (n = 20) and female (n = 18) rowers who underwent testing at their respective clubs administered by a sport scientist. The second lactate threshold was determined using the modified Dmax (ModDmax) and LogPoly-modified Dmax (LogPoly) methods via an incremental rowing ergometer test. Time-trial tests consisted of a 2000-m performance trial, with the remaining tests (500 m and either 5000 m or 6000 m) used to determine CP and work above CP (W′) via the linear 1/time model. Results : Associations between CP, ModDmax, and LogPoly were moderate to strong ( r ² = .49–.70); however, power output at CP (311 [67] W) was lower ( P < .001) than at ModDmax (324 [68] W) and LogPoly (323 [67] W). Of the 3 methods, CP achieved the highest association with rowing performance ( r ² = −.81; P < .001), followed by ModDmax and LogPoly (both r ² = −.75; P < .001). The inclusion of W′ in the full CP model predicted 2000-m time that was highly correlated (male r ² = .92 and female r ² = .81, P < .001) with actual time. Conclusions : Although agreement in absolute power output between CP, ModDmax, and LogPoly was not confirmed, associations between them were strong, and all had moderate to high correlations with 2000-m rowing performance.