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BACKGROUND: High-Intensity Multimodal Training (HIMT) refers to all styles of high-intensity combined aerobic, resistance and/or bodyweight exercise. Previous heterogeneity in exercise prescription and reporting in HIMT reduces the understanding of which factors should be considered when prescribing HIMT (e.g., exercise volume, intensity, duration). Previous studies have demonstrated positive effects of HIMT on health and performance outcomes. However, methodological disparities limit comparisons between findings. The objective of this systematic mapping review was to examine which prescriptive considerations and health and performance outcomes have been reported on in HIMT. This review also examined the quantity and trends of research conducted on HIMT. METHODS: A systematic literature search was conducted using Ovid Medline, SPORTDiscus and Cochrane Library databases and additional sources to identify studies up until February 2023. A total of 37,090 records were retrieved, of which 220 were included for review. 246 individual HIMT protocols were included for categorical analysis against the Consensus on Exercise Reporting Template (CERT) and Applied Research Model for the Sport Sciences (ARMSS). RESULTS: A total of 85 unique terms were used to describe HIMT. Included studies most commonly prescribed HIMT using a consistent exercise selection and circuit format. Exercise intensity was inconsistently reported on and a large proportion of studies prescribed 'high-intensity' exercise at a level lower than the American College of Sports Medicine criteria for high-intensity (i.e., < 77% heart rate maximum). Participation location, supervision and participation format were the most commonly reported non-training variables. The most frequently reported outcomes were cardiovascular health, perceptual outcomes, body composition and biochemical outcomes. A large proportion of previous HIMT research was experimental in design. CONCLUSIONS: Previous HIMT research demonstrates a lack of standardisation in reporting. Future studies should seek to follow guidelines (i.e., CERT) to improve reporting rigour. Additionally, forthcoming research should attempt to actively involve practitioners in implementation studies to improve ecological validity among interventions. Finally, future outcome measures should be accessible in practice and reflect common training goals of participants. REGISTRATION: This review adhered to PRISMA-ScR guidelines. PREREGISTRATION: osf.io/yknq4.
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van Gogh, MJ, Wallace, LK, and Coutts, AJ. Positional demands and physical activity profiles of netball. J Strength Cond Res 34(5): 1422-1430, 2020-The aim of this study was to examine the activity profiles and physiological demands of netball. Eleven representative youth netball players participated in this study. Global positioning system, heart rate, and accelerometer data were collected during 8 competitive matches. Sport-specific skills were analyzed using notational methods. The main findings were that players traveled less distance during a match than previously reported. The center covered significantly greater distances than the other positions (p < 0.001). The goal shooter and goal keeper covered the least distance and endured lower accelerometer loads than other positions (p < 0.001). Very low levels of very high-speed running and sprint efforts were observed across all positions. The proportion of time spent in the high (>85% maximum heart rate [HRmax]) HR zone ranged from 7.0 to 62.6%, highlighting a high variation in cardiovascular demands between each position. The center and goal attack had the greatest cardiovascular demands spending significantly more time in the high (>85% HRmax) HR zone (p < 0.001). The goal shooter and goal keeper spent significantly more time in the low (<70% HRmax) HR zone (p < 0.001). Players in attacking positions were shown to pass/catch significantly more players than in defending positions (p < 0.001). Players in defending positions had higher number of deflections and intercepts compared with players in attacking positions (p < 0.001). These findings reveal significant positional differences in activity profiles and movement demands in netball. These data can be used to refine position-specific training practice and guide tactical strategies during competition.
