Increased Ambiguity and Resistance While New College Leaders Learn Their Roles

This article explores tolerance of ambiguity and its effect on change resistance from the perception of new higher education presidents who often feel overwhelmed by the level of perceived resistance while they learn a new environment. Two separate yet complementary studies were compared for resistance to change: one qualitative and one quantitative. The qualitative study used a phenomenological approach to explore a new higher education leaders’ perspective of facing resistance during the change process. The quantitative study examined the 36-question survey results of individual higher education employees affected by higher education change. The intersection of the two studies explored, through different lenses, how leaders face perceived resistance versus how employees perceive change and then exhibit resistant-like behavior. Results included that the majority of higher education employees were intolerant to ambiguity, and that uncertainty due to new leadership exacerbated this condition. The authors argued against the prevailing advice of putting vision delivery on hold. Rather, the authors recommend that new leaders clearly communicate the vision formation process while maintaining intentional and transparent collaboration with the community

The impact of sleep-wake behaviour on tennis match performance in junior state grade tennis players

Purpose: To date, no study has investigated the extent to which sleep-wake behaviour (SWB) influences match performance in junior tennis players. This study aimed to assess the influence of SWB for the week and night before on match performance, particularly match analytics and activity. Methods: This study recruited 10 junior state grade tennis players who wore an actigraphy device and completed a sleep diary for the week before their match on two separate occasions throughout their competition season. Players wore a global positioning system device to track their movement during matches, and an experienced tennis coach recorded players\u27 match analytics. Results: This study showed that the sleep fragmentation index was significantly lower the week before matches in females who had won than those who had lost. Additionally, the sleep fragmentation index was significantly lower the night before a given match than the week before. Only sleep fragmentation index and sleep latency significantly influenced match performance in junior tennis players. The percentage of second serves points won differed between match wins and losses for male players, while winners and forced errors differed for female players. Conclusion: These findings provide a detailed profile of tennis match play in junior state grade players. Despite individual differences, reduced restlessness the night before a match coincides with increased match performance

Fatigue Risk Management Systems diagnostic tool: Validation of an organizational assessment tool for shift work organizations

Background: This study aimed to determine and define the elements of an Fatigue Risk Management System (FRMS) diagnostic tool to assist an organization in systematically assessing its level of implementation of an FRMS. Methods: A modified Delphi process was used involving 16 participants with expertise in sleep science, chronobiology, and fatigue risk management within occupational settings. The study was undertaken in two stages 1) review of elements and definitions; 2) review of statements for each element. Each stage involved an iterative process, and a consensus rule of ≥ 60 % was applied to arrive at a final list of elements, definitions, and statements. Results: Stage 1: a review of elements (n = 12) and definitions resulted in a final list of 14 elements and definitions with a consensus of ≥ 60 % achieved after 2 Delphi rounds. Stage 2: a review of statements (n = 131) resulted in a final list of 119 statements with a consensus of ≥ 60 % achieved after 2 Delphi rounds. Conclusion: The final FRMS diagnostic tool will enable an organization to systematically assess the level of implementation of their current FRMS and identify gaps and opportunities to reduce risk

La influencia del tiempo de sueño total autorreportado y la calidad del sueño en el desempeño físico de jugadores júnior de tenis

Studies have shown the importance of sleep on tennis skill execution; however, its influence on physical performance metrics is unclear. This study aimed to examine the extent to which sleep duration and sleep quality metrics influence physical performance metrics in junior tennis players. Thirty-six junior tennis players from Australia and Germany completed the Consensus Sleep Diary over seven nights. A novel total sleep score based on current National Sleep Foundation recommendations was generated (calculated as the percentage of the average standardised sleep metrics), for each player. Players’ physical performance was measured using a comprehensive tennis-specific testing battery. This included sit and reach test for flexibility, counter movement jump and overhead medicine ball throw for power, 5-, 10- and 20-metre sprints for speed, tennis agility test for agility and reaction time, grip strength for strength, repeat sprint ability for anaerobic capacity and the Hit and Turn Tennis Test for aerobic capacity. Teenage (14 to 17 years of age) players reported significantly lower sleep duration (471 ± 116 min versus 543 ± 72 min; p <0.001, d = 0.83) and sleep efficiency (90% ± 11% versus 94 % ± 5%; p = 0.011, d = 0.49) metrics than school-aged players. Players with higher self-reported sleep quality had slower reaction times during a tennis agility test (r = 0.604, p = 0.011). However, players who reported feeling more rested and refreshed had faster reaction times during a tennis agility test (r = -0.579, p = 0.020). No other significant associations were present between self-reported sleep metrics and physical performance metrics. Nevertheless, feeling well-rested and refreshed, one of the primary outcomes of sleep, improves reaction time during a tennis-specific agility test. However, physical performance metrics are not significantly influenced by small variations in recommended sleep duration and sleep quality ranges.Diversos estudios demuestran la importancia del sueño en la ejecución de las habilidades en el tenis, sin embargo, su influencia en las métricas del desempeño físico no es clara. El objetivo de este estudio es analizar hasta qué punto las métricas de la duración y calidad del sueño influencian las métricas del desempeño físico en jugadores júnior de tenis. Treinta y seis jugadores júnior de tenis de Australia y Alemania completaron el Diario de Sueño Consensuado durante siete noches. Para cada jugador se creó una nueva puntuación del sueño total basada en las recomendaciones actuales de la Fundación Nacional del Sueño (calculada como el porcentaje de la media de las métricas de sueño estandarizadas). El desempeño físico de los jugadores fue medido con una batería integral de pruebas específicas para el tenis. Las pruebas incluidas fueron la prueba de sentarse y alcanzar para flexibilidad, el salto en contramovimiento y el lanzamiento de balón medicinal sobre la cabeza para la potencia, sprints de 5, 10 y 20 metros para la velocidad, la prueba de agilidad en tenis para la agilidad y el tiempo de reacción, fuerza de agarre para la fuerza, capacidad de repetir sprint para la capacidad anaeróbica y la prueba de golpear y girar en tenis para la capacidad aeróbica. Los jugadores adolescentes (de 14 a 17 años) reportaron métricas significativamente menores en la duración del sueño (471 ± 116 min frente a 543 ± 72 min; p <0,001, d = 0,83) y la eficiencia del sueño (90% ± 11% versus 94 % ± 5%; p = 0,011, d = 0,49) comparadas con las de jugadores en edad escolar. Los jugadores con mayor calidad de sueño autorreportada tuvieron tiempos de reacción más lentos durante la prueba de agilidad en tenis (r = 0,604, p = 0,011). Sin embargo, los jugadores que reportaron sentirse más descansados y renovados tuvieron tiempos de reacción más rápidos durante la prueba de agilidad en tenis (r = -0,579, p = 0,020). No se encontraron otras asociaciones significativas entre las métricas de sueño autorreportadas y las del desempeño físico. No obstante, sentirse descansado y renovado, uno de los resultados principales del sueño, mejora el tiempo de reacción en la prueba de agilidad específica para tenis. Por otra parte, las métricas del desempeño físico no están influenciadas significativamente por las pequeñas variaciones en la duración del sueño y los rangos de calidad del sueño recomendados

The influence of self-reported total sleep time and sleep quality on physical performance in junior tennis players

Studies have shown the importance of sleep on tennis skill execution; however, its influence on physical performance metrics is unclear. This study aimed to examine the extent to which sleep duration and sleep quality metrics influence physical performance metrics in junior tennis players. Thirty-six junior tennis players from Australia and Germany completed the Consensus Sleep Diary over seven nights. A novel total sleep score based on current National Sleep Foundation recommendations was generated (calculated as the percentage of the average standardised sleep metrics), for each player. Players’ physical performance was measured using a comprehensive tennis-specific testing battery. This included sit and reach test for flexibility, counter movement jump and overhead medicine ball throw for power, 5-, 10- and 20-metre sprints for speed, tennis agility test for agility and reaction time, grip strength for strength, repeat sprint ability for anaerobic capacity and the Hit and Turn Tennis Test for aerobic capacity. Teenage (14 to 17 years of age) players reported significantly lower sleep duration (471 ± 116 min versus 543 ± 72 min; p \u3c 0.001, d = 0.83) and sleep efficiency (90% ± 11% versus 94 % ± 5%; p = 0.011, d = 0.49) metrics than school-aged players. Players with higher self-reported sleep quality had slower reaction times during a tennis agility test (r = 0.604, p = 0.011). However, players who reported feeling more rested and refreshed had faster reaction times during a tennis agility test (r = -0.579, p = 0.020). No other significant associations were present between self-reported sleep metrics and physical performance metrics. Nevertheless, feeling well-rested and refreshed, one of the primary outcomes of sleep, improves reaction time during a tennis-specific agility test. However, physical performance metrics are not significantly influenced by small variations in recommended sleep duration and sleep quality ranges

The sleep of shift workers in a remote mining operation: Methodology for a randomized control trial to determine evidence-based interventions

© Copyright © 2021 Maisey, Cattani, Devine, Lo and Dunican. Shiftwork may adversely impact an individual’s sleep-wake patterns and result in sleep loss ( \u3c 6 h. following night shift), due to the circadian misalignment and the design of rosters and shifts. Within a mining operation, this sleep loss may have significant consequences due to fatigue, including an increased risk of accidents and chronic health conditions. This study aims to (i) determine the efficacy of an intervention that comprises a sleep education program and biofeedback through a smartphone app on sleep quality, quantity, and alertness (ii) determine the prevalence of risk for a potential sleep disorder, and (iii) quantify and describe the sleep habits and behaviors of shift workers in a remote mining operation. This study consists of a randomized controlled trial whereby eighty-eight shift workers within a remote mining operation are randomized to a control group or one of three different treatment groups that are: (i) a sleep education program, (ii) biofeedback on sleep through a smartphone app, or (iii) a sleep education program and biofeedback on sleep through a smartphone app. This study utilizes wrist-activity monitors, biomathematical modeling, and a survey instrument to obtain data on sleep quantity, quality, and alertness. A variety of statistical methods will determine the prevalence of risk for a potential sleep disorder and associations with body mass index, alcohol, and caffeine consumption. A generalized linear mixed model will examine the dependent sleep variables assessed at baseline and post-intervention for the control group and intervention groups, as well as within and between groups to determine changes. The findings from this study will contribute to the current understanding of sleep and alertness behaviors, and sleep problems and disorders amongst shift workers. Importantly, the results may inform fatigue policy and practice on interventions to manage fatigue risk within the mining industry. This study protocol may have a broader application in other shiftwork industries, including oil and gas, aviation, rail, and healthcare