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Currently, there is limited evidence regarding various neurophysiological responses to strength exercise and the influence of the adopted practice schedule. This study aimed to assess the acute systemic effects of snatch training bouts, employing different motor learning models, on skill efficiency, electric brain activity (EEG), heart rate variability (HRV), and perceived exertion as well as mental demand in novices. In a within-subject design, sixteen highly active males (mean age: 23.13 ± 2.09 years) randomly performed snatch learning bouts consisting of 36 trials using repetitive learning (RL), contextual interference (blocked, CIb; and serial, CIs), and differential learning (DL) models. Spontaneous resting EEG and HRV activities were recorded at PRE and POST training bouts while measuring heart rate. Perceived exertion and mental demand were assessed immediately after, and barbell kinematics were recorded during three power snatch trials performed following the POST measurement. The results showed increases in alpha, beta, and gamma frequencies from pre- to post-training bouts in the majority of the tested brain regions (p values ranging from < 0.0001 to 0.02). The CIb model exhibited increased frequencies in more regions. Resting time domain HRV parameters were altered following the snatch bouts, with increased HR (p < 0.001) and decreased RR interval (p < 0.001), SDNN, and RMSSD (p values ranging from < 0.0001 to 0.02). DL showed more pronounced pulse-related changes (p = 0.01). Significant changes in HRV frequency domain parameters were observed, with a significant increase in LFn (p = 0.03) and a decrease in HFn (p = 0.001) registered only in the DL model. Elevated HR zones (> HR zone 3) were more dominant in the DL model during the snatch bouts (effect size = 0.5). Similarly, the DL model tended to exhibit higher perceived physical (effect size = 0.5) and mental exertions (effect size = 0.6). Despite the highest psycho-physiological response, the DL group showed one of the fewest significant EEG changes. There was no significant advantage of one learning model over the other in terms of technical efficiency. These findings offer preliminary support for the acute neurophysiological benefits of coordination-strength-based exercise in novices, particularly when employing a DL model. The advantages of combining EEG and HRV measurements for comprehensive monitoring and understanding of potential adaptations are also highlighted. However, further studies encompassing a broader range of coordination-strength-based exercises are warranted to corroborate these observations. [ABSTRACT FROM AUTHOR]

Objective: With advancements in surgical equipment and procedures, human--system interactions in operating rooms affect surgeon workload and performance. Workload was measured across surgical specialties using surveys to identify potential predictors of high workload for future performance improvement. Summary Background Data: Surgical instrumentation and technique advancements have implications for surgeon workload and human--systems interactions. To understand and improve the interaction of components in the work system, NASA-Task Load Index can measure workload across various fields. Baseline workload measurements provide a broad overview of the field and identify areas most in need of improvement. Methods: Surgeons were administered a modified NASA-Task Load Index survey (0¼low, 20¼high) following each procedure. Patient and procedural factors were retrieved retrospectively. Results: Thirty-four surgeons (41% female) completed 662 surgery surveys (M ¼ 14.85, SD ¼ 7.94), of which 506 (76%) have associated patient and procedural data. Mental demand (M ¼ 7.7, SD ¼ 5.56), physical demand (M ¼ 7.0, SD ¼ 5.66), and effort (M ¼ 7.8, SD ¼ 5.77) were the highest rated workload subscales. Surgeons reported difficulty levels higher than expected for 22% of procedures, during which workload was significantly higher (P < 0.05) and procedural durations were significantly longer (P > 0.001). Surgeons reported poorer perceived performance during cases with unexpectedly high difficulty (P < 0.001). Conclusions: When procedural difficulty is greater than expected, there are negative implications for mental and physical demand that result in poorer perceived performance. Investigations are underway to identify patient and surgical variables associated with unexpected difficulty and high workload. Future efforts will focus on re-engineering the surgical planning process and procedural environment to optimize workload and performance for improved surgical care. [ABSTRACT FROM AUTHOR]

Background: Neonatal nurse practitioner (NNP) workload is not well studied, and metrics specific to NNP practice are lacking. Factors such as changes in resident duty hours, increasing neonatal intensive care unit admissions, and a shortage of NNPs contribute to NNP workload. Increased workload has been shown to be detrimental to providers and can affect quality of care.Purpose: This study quantified NNP workload using a subjective workload metric, the NASA Task Load Index, and a newly developed objective workload metric specific to NNP practice.Methods: The NNP group at a level IV academic medical center was studied. The sample included 22 NNPs and 47 workload experiences.Results: A comparison of scores from the NASA Task Load Index and objective workload metric showed a moderate correlation (r = 0.503). Mental demand workload scores had the highest contribution to workload. Feelings of frustration also contributed to workload.Implications For Practice: The NASA Task Load Index can be utilized to measure the workload of NNPs. The objective workload metric has potential to quantify NNP workload pending further validation studies and is a simple, straightforward tool.Implications For Research: Additional research is needed regarding NNP workload and methods to quantify workload. Larger studies are needed to validate the objective workload metric. [ABSTRACT FROM AUTHOR]