RESUMEN

Determining an athlete's maximal peak power (MPP) is crucial in profiling endurance sports participants. While short (3 to 6 seconds) all-out efforts have been validated for MPP assessment, prior studies mainly involved non-endurance trained athletes. This study aimed to assess the intra- and inter-day reliability of a 6-second Wingate test for MPP determination in endurance athletes. Endurance-trained participants (22 males, 5 females) completed nine 6-second Wingate tests over four days (3 trials at baseline, 2 trials on each subsequent day). Analysis revealed no systematic differences in MPP (F(4.09, 106.3) = 1.88, p = 0.117) or time to peak power (χ2 (8) = 5.23, p = 0.732) across the trials. Reliability, assessed through the intraclass correlation coefficient (ICC) and standard error of measurement (SEM), was excellent across all trials (ICC = 0.95, SEM = 40.0W, SEM% = 3.7%). Absolute reliability improved when selecting the average or the best MPP values from each day (SEM% = 2.7% and 2.9%, respectively). Within-day reliability was consistently rated as excellent, with the best values on the 4th day of tests. No significant differences in MPP values occurred between the first and second 6-second Wingate tests on days 1 to 3, with both trials demonstrating similar reliability values (SEM%: 3.2% vs 2.8%, for the first and second trials, respectively). The test also demonstrated a good sensitivity to detect a meaningful change in MPP values. In conclusion, the 6-second Wingate test proves reliable for determining MPP in endurance-trained athletes. Two trials are recommended on the first day of testing, with a single MPP likely sufficient to determine the athlete's MPP on subsequent days.

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RESUMEN

The impact of exercise-specific face masks (ESFMs) in aerobically fit individuals on physiological, perceptual, respiratory, and performance responses remains unclear. How ESFMs mitigate exercise-induced bronchoconstriction (EIB) is also unknown. Thus, this study aimed to determine how an ESFM altered within-exercise physiological, perceptual, respiratory, and performance responses to graded treadmill exercise. Twenty-four individuals (11 females) completed a discontinuous graded exercise test on a treadmill under two conditions (ESFM and unmasked). Physiological, respiratory function, and perceptual measures were assessed. Performance was determined by time to exhaustion. Statistical analyses included linear mixed-effects modeling, repeated measures analysis of variance, and pairwise comparisons using an alpha value of 0.05. ESFM use significantly impaired performance (median = -150.5 s) and decreased arterial oxygen saturation at maximal intensity (mean = -3.7%). Perceptions of air hunger and work of breathing were elevated across submaximal and maximal intensities. Perceived exertion and breathing discomfort were significantly elevated submaximally but not maximally. Spirometry measures were not significantly different at termination but were significantly improved at submaximal intensities in participants with and without EIB. ESFM use in fit individuals increased perceptual discomfort, impaired performance, and augmented arterial desaturation. Respiratory function improvements were observed but were accompanied by adverse perceptual sensations. Despite this, performance impairments may limit the real-world utility of ESFMs for athletes.

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Worldwide, over 55-million people have dementia, and the number will triple by 2050. Persons living with dementia are exposed to risks secondary to cognitive challenges including getting lost. The adverse outcomes of going missing include injuries, death, and premature institutionalization. In this scoping review, we investigate risk factors associated with going missing among persons living with dementia. We searched and screened studies from four electronic databases (Medline, CINAHL, Embase, and Scopus), and extracted relevant data. We identified 3,376 articles, of which 73 met the inclusion criteria. Most studies used quantitative research methods. We identified 27 variables grouped into three risk factor domains: (a) demographics and personal characteristics, (b) health conditions and symptoms, and (c) environmental and contextual antecedents. Identification of risk factors associated with getting lost helps to anticipate missing incidents. Risk factors can be paired with proactive strategies to prevent incidents and inform policies to create safer communities.

RESUMEN

Previous varsity sport injury research has analyzed how acute and chronic injury severity, type, and location differs between sport and sexes, with limited research in time to injury. Canadian university varsity sport injury research is especially sparse and mostly retrospective. Thus, we aimed to understand injury differences in male and female competitive university athletes competing in the same sport. Athletes who competed on the basketball, volleyball, soccer, ice hockey, football (male), rugby (female), and wrestling teams were eligible for the study. There were 182 male and 113 female athletes who provided informed consent to be prospectively followed over a season. Injury date, type, location, chronicity, and events missed due to injury were recorded on a weekly basis. Overall, the percentage of male (68.7%) and female (68.1%) athletes injured was not different. No overall sex differences (variables collapsed) were observed in injury chronicity, location, type, events lost, mean number of injuries, or time to injury. Within sport differences existed for mean number of injuries, injury location, type of injury, and events missed. Mean time to injury in female basketball (28 days) and volleyball athletes (14 days) was significantly shorter compared to male basketball (67 days) and volleyball (65 days). Time to a concussion was significantly shorter in females overall compared to males. These results indicate that Canadian female university age athletes are not inherently more susceptible to injury, but female athletes within certain sports may have increased injury risk which could shorten time to injury (basketball, volleyball) and increase the number of events missed due to injury (hockey).

RESUMEN

BACKGROUND: Family caregivers are unpaid individuals who provide care to people with chronic conditions or disabilities. Family caregivers generally do not have formal care-related training. However, they are an essential source of care. Mobile technologies can benefit family caregivers by strengthening communication with care staff and supporting the monitoring of care recipients. OBJECTIVE: We conducted a mixed-method study to evaluate the acceptance and usability of a mobile technology called the Smart Care System. METHODS: Using convenience sampling, we recruited 27 family caregivers to evaluate the mobile Smart Care System (mSCS). In the quantitative phase, we administered initial and exit questionnaires based on the Unified Theory of Acceptance and Use of Technology. In the qualitative phase, we conducted focus groups to explore family caregivers' perspectives and opinions on the usability of the mSCS. With the quantitative data, we employed univariate, bivariate, and partial least squares analyses, and we used content analysis with the qualitative data. RESULTS: We observed a high level of comfort using digital technologies among participants. On average, participants were caregivers for an average of 6.08 years (standard deviation [SD] = 6.63), and their mean age was 56.65 years (SD = 11.62). We observed a high level of technology acceptance among family caregivers (7.69, SD = 2.11). Behavioral intention (ß = 0.509, p-value = 0.004) and facilitating conditions (ß = 0.310, p-value = 0.049) were statistically significant and related to usage behavior. In terms of qualitative results, participants reported that the mobile application supported care coordination and communication with staff and provided peace of mind to family caregivers. CONCLUSION: The technology showed high technology acceptance and intention to use among family caregivers in a long-term care setting. Facilitating conditions influenced acceptance. Therefore, it would be important to identify and optimize these conditions to ensure technology uptake.

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