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Purpose: To compare the training characteristics of an elite team pursuit cycling squad in the 3-month preparation phases prior to 2 successive world-record (WR) performances., Methods: Training data of 5 male track endurance cyclists (mean [SD]; age 23.4 [3.46] y; body mass 80.2 [2.74] kg; 4.5 [0.17] W·kg-1 at LT2; maximal aerobic power 6.2 [0.27] W·kg-1; maximal oxygen uptake 65.9 [2.89] mL·kg-1·min-1) were analyzed with weekly total training volume by training type and heart rate, power output, and torque intensity distributions calculated with reference to the respective WRs' performance requirements., Results: Athletes completed 805 (82.81) and 725 (68.40) min·wk-1 of training, respectively, in each season. In the second season, there was a 32% increase in total track volume, although track sessions were shorter (ie, greater frequency) in the second season. A pyramidal intensity distribution was consistent across both seasons, with 81% of training, on average, performed below LT1 power output each week, whereas 6% of training was performed above LT2. Athletes accumulated greater volume above WR team pursuit lead power (2.4% vs 0.9%) and torque (6.2% vs 3.2%) in 2019. In one athlete, mean single-leg-press peak rate of force development was 71% and 46% higher at mid- and late-phases, respectively, during the preparation period., Conclusions: These findings provide novel insights into the common and contrasting methods contributing to successive WR team pursuit performances. Greater accumulation of volume above race-specific power and torque (eg, team pursuit lead), as well as improved neuromuscular force-generating capacities, may be worthy of investigation for implementation in training programs.

Purpose: To profile the training characteristics of an elite team pursuit cycling squad and assess variations in training intensity and load accumulation across the 36-week period prior to a world-record performance at the 2018 Commonwealth Games., Methods: Training data of 5 male track endurance cyclists (mean [SD]; age 21.9 [3.52] y; 4.4 [0.16] W·kg-1 at anaerobic threshold; 6.2 [0.28] W·kg-1 maximal oxygen uptake 68.7 [2.99] mL kg·min-1) were analyzed with weekly total training volume and heart rate, power output, and torque intensity distributions calculated with reference to their 3:49.804 min:s.ms performance requirements for a 4-km team pursuit., Results: Athletes completed 543 (37) h-1 of training across 436 (16) sessions. On-bike activities accounted for 69.9% of all training sessions, with participants cycling 11,246 (1139) km-1 in the training period of interest, whereas 12.7% of sessions involved gym/strength training. A pyramidal intensity distribution was evident with over 65% and 70% of training, respectively, performed at low-intensity zone heart rate and power output, whereas 5.3% and 7.7% of training was performed above anaerobic threshold. The athletes accumulated 4.4% of total training volume at, or above, their world-record team pursuit lead position torque (55 N·m)., Conclusions: These data provide updated and novel insight to the power and torque demands and load accumulation contributing to world-record team pursuit performance. Although the observed pyramidal intensity distribution is common in endurance sports, the lack of shift toward a polarized intensity distribution during taper and competition peaking differs from previous research.

Objectives: This study examined how track cycling coaches, practitioners, and athletes: develop knowledge and practices; value performance areas; and, implement research into practice., Design: Cross-sectional survey., Methods: An online REDCap survey of track cycling coaches, practitioners, and athletes was conducted involving questions related to demographics, performance area importance, knowledge acquisition and application, research relevance, and research direction., Results: A total of 159 responses were received from coaches (n = 55), practitioners (n = 29), and athletes (n = 75). Participants' highest track cycling competition level involvement ranged from local/regional (12.7%) to Olympic/Paralympic (39.9%). Respondents primarily develop practices by observing 'the sport' or 'others competing/working in it' (both 85.8%). Practitioners develop practices through self-guided learning (96.4%). The primary reason for practice use was prior experience (84.9%), whilst individuals were least likely to use practices resulting in marginal gains with potentially negative outcomes (27.3%). Areas of greatest perceived importance were Aerodynamics, Strength & Conditioning, and Tactics (all >96% agreed/strongly agreed). Scientific evidence for Tactics (30%) and Mental Skills (26%) was perceived to be lacking, resulting in greater reliance on personal experience (74% and 62%, respectively) to inform training decisions. The main barrier to implementing research into practice was athlete buy-in (84.3%)., Conclusions: Within track cycling, informal learning was most popular amongst respondents. Greater reliance on personal experience within evidence-based practice for many performance areas aligns with limited existing research. Most respondents reported multiple barriers affecting research implementation in practice., Competing Interests: Declaration of interest statement None., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Purpose: Low physical activity in the academic workplace may increase the risk of cardiometabolic disease. This randomised controlled trial investigated the effect of 14 weeks of concurrent exercise training (CT) on components of metabolic syndrome, body composition, insulin resistance, and markers of systemic inflammation in inactive academics., Methods: 59 inactive academics were randomised into a CT (n = 29) or wait-list control group (n = 30). CT performed supervised training at an onsite facility 3 times per week for 14 weeks and cardiometabolic health was assessed pre- and post-intervention. Aerobic capacity was measured via a metabolic cart. Dual-Energy X-ray Absorptiometry measured fat mass, lean mass, and central adiposity. Fasting blood samples were analysed for interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), glucose, and lipid profile., Results: Following the intervention, there was a decrease in fat mass (mean ± SD;  - 1.3 ± 1.4%), android fat mass (median (IQR);  - 0.06 (0.27) kg), and visceral adipose tissue (median (IQR);  - 66 (110) cm 3 ) in CT, but not control. Lean mass (median (IQR); 1.35 (1.86) kg) and aerobic capacity (mean ± SD; 4.0 ± 3.1 mL/kg/min) increased in CT, but not in control. There were no changes in IL-6, TNF-a, HOMA-IR, glucose, or lipid profile in response to the intervention (P > 0.05). Changes in insulin resistance were positively associated with IL-6 in the control group only (coefficients [95%CI]; 5.957 [2.961, 8.953])., Conclusion: Implementing combined aerobic and resistance exercise training programs in academic institutions may be an appropriate intervention to increase physical activity and reduce risk factors associated with cardiometabolic disease., Trial Registration: The study was registered with the Australian New Zealand Clinical Trials Registry on the  23rd  of April, 2019 (ACTRN12619000608167)., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Issue Addressed: Firefighting is physically and mentally taxing and recruits are expected to have optimal health and fitness. However, physical fitness tends to decline following initial training, placing firefighters at an increased risk for stress and injury. Efforts are needed to engage and support firefighters in maintaining adequate health and fitness to withstand the rigorous demands of their occupation. This study examined the feasibility of TARP, a pragmatic strength and conditioning intervention for metropolitan-based firefighters, delivered in collaboration with a professional National Rugby League club., Methods: A mixed-methods approach was utilised to examine program implementation, recruitment and sample characteristics, intervention satisfaction and acceptability, and participants' response to the intervention. Evaluation measures included field notes taken during steering committee meetings, participant flow data, baseline and follow-up outcome measures, self-report questionnaires, and telephone interviews with a sample of participants., Results: Participants (N = 113) were predominantly men (82%) with a mean age of 43 ± 9.3 years and BMI of 26.6 ± 2.9 kg/m 2 . Program satisfaction was high (95% very satisfied or somewhat satisfied) among program completers (42% retention). Key strengths of the program included delivery through the professional sports club, quality of facilities and equipment, and scheduling flexibility. Future programs should consider incorporating education or training to support behaviour change maintenance and strategies to retain participants at follow-up., Conclusions: Results provide valuable insights into the design and delivery of interventions for firefighters and demonstrate the importance of strong partnerships between community stakeholders., (© 2022 The Authors. Health Promotion Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of Australian Health Promotion Association.)

Objectives: Due to the nature of firefighting, most effective cooling interventions to reduce heat strain and optimise performance are not practically viable. This study quantified the effects of two practical cooling strategies, co-designed with subject-matter experts, on physiological strain and physical, perceptual, and visuo-motor performance during simulated firefighting in the heat., Design: Randomised cross-over., Methods: On three occasions 14 firefighters completed an 80-min simulation in a hot-humid environment (32.0[0.9]°C, 59[3]%RH) including two 20-min firefighting tasks in full protective clothing, each followed by 20-min seated recovery. Recovery involved removal of protective clothing and one of three interventions - control (CON; ambient-temperature water consumption), basic (BASIC; cool-water consumption, ambient-forearm immersion/towels, fan), and advanced (ADV; ice-slushy consumption, cool-forearm immersion/ice packs, misting-fan). Thermal (core temperature) and cardiovascular (heart rate, arterial pressure) responses were measured throughout, whilst physical (handgrip/balance), visuo-motor (reaction time/memory recall) and perceptual (fatigue/thermal sensation/comfort) measures were assessed pre- and post-trial., Results: Compared to CON, core temperature was lower in BASIC and ADV following the second task (ADV: 37.7[0.4]; BASIC: 38.0[0.4]; CON: 38.3[0.4]°C) and recovery protocol (ADV: 37.5[0.3]; BASIC: 37.7 [0.3] CON: 38.3[0.4]°C). This was paralleled by lowered heart rate, rate pressure product, and thermal sensation following the recovery protocols, in the ADV and BASIC condition compared to CON (p < .05). No physical or visuo-motor outcomes differed significantly between conditions., Conclusion: Whilst these observations need to be extended to field conditions, our findings demonstrate that two novel cooling interventions developed in collaboration with subject-matter experts offered benefits for reducing thermal strain and optimising firefighter safety., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Heat is a major stressor during exercise, though its value in driving adaptation is not well understood. Muscle heating can upregulate pathways facilitating protein synthesis and could thereby enhance effects of exercise training, however, few studies have investigated this possibility. We examined whether heating active muscle during resistance training differentially affected physical and functional adaptations. Within a randomised contralateral-limb control study, ten healthy, resistance-untrained individuals (21 ± 3 y; 5 female) completed 30 sessions of progressive resistance training (12 weeks), performing 4 × 8 unilateral knee extensions at 70% of 1RM. One randomly-allocated thigh was heated during, and for 20 min after, each session using an electric pad eliciting muscle temperatures of >38 °C (HOT); the contralateral limb remained unheated (CON). Training intensity was progressed using 4-weekly strength assessments. Quadricep lean mass (measured using DXA) increased by 15 ± 7% in HOT ( p = 0.00) and 15 ± 6% in CON ( p = 0.00); the difference being trivial ( p = 0.94). Peak isokinetic torque at 90°.s -1 increased by 30 ± 25% (HOT; p = 0.00) and 34 ± 33% (CON; p = 0.01), with no difference ( p = 0.84) between limbs. Rate of torque development increased ∼40%, with no difference between limbs ( p = 0.73). The increase in 3-RM strength was also similar in HOT (75 ± 16%) and CON (71 ± 14%; p = 0.80 for difference). No differences in mass or strength changes were evident between sexes. In conclusion, supplemental heating of active muscle during and after each bout of resistance training showed no clear positive (or negative) effect on training-induced hypertrophy or function.