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Purpose: The purpose of the study was to explore the validity, test–retest reliability and affective responses of a submaximal 20-m shuttle-run test (20mSRT) stopped at 6 on the Eston–Parfitt (EP) scale. The secondary aim was to examine and compare two submaximal 20mSRT protocols with different RPE end points (EP6 vs. EP7) using previously published data. Methods: Twenty-five children (16 boys; 13.4 ± 1.0 years; 162.1 ± 8.7 cm; 49.1 ± 6.6 kg) completed three exercise tests (graded exercise test [GXT], 2 submaximal 20mSRT). The EP scale and Feeling scale were used to measure RPE and affect, respectively. The two submaximal 20mSRTs were stopped after participants reported EP6. Individual speed–RPE relationships from the submaximal 20mSRTs were linearly regressed to predict peak speed and then used to estimate VO2peak. Previously published data (n = 25) used comparable methods, except that the participants stopped at EP7. Results: In the EP6 protocol, a two-factor repeated measures ANOVA revealed non-significant Test and Sex main effects (p > 0.05). Reliability analysis revealed intraclass correlation coefficient of ~ 0.7 (95%CI [0.432,0.867], p < 0.001) between the submaximal 20mSRTs. Significant differences in end-test affect between the GXT and submaximal 20mSRTs were found (p < 0.001), with GXT more negative. ANOVA revealed no significant differences in end-test affect between EP6 and EP7 protocols; however, frequency count analysis revealed EP6 to result in more positive end-test affect. Conclusion: Submaximal 20mSRT utilising RPE may offer valid predictions in VO2peak while minimising negative affect. Test end points of EP6 and EP7 both offer valid predictions in VO2peak. EP6 may be more beneficial in avoiding negative affect, even though a reduction in test–retest reliability was observed. [ABSTRACT FROM AUTHOR]

Carers of veterans tend to put their own physical and psychological well‐being needs behind the needs of the person they are caring for and often do not seek assistance for their own physical and psychological well‐being. Combined, these factors lead to increased risk of acute and chronic illness and mental health issues. It is acknowledged that physical activity independently contributes to improved physical and mental health and may be a driver for mental well‐being in carers. The aim of this pilot research was to understand how movement behaviour and health behaviours of carers of veterans in Australia relate to carers' physical and psychological well‐being. Assessment occurred between February and July 2019 and included objective, validated measures to examine physical and psychological well‐being. To assess the association between physical and psychological factors, correlational analyses were performed. Twenty‐eight carers participated in the pilot study (96% female, mean age 61.6 years). Exercise capacity varied, and 84% of carers met the recommended 150 min of physical activity per week, with carers spending 8.6% of their time in moderate‐to‐vigorous physical activity; and 37.9% of the day sedentary. Psychological health outcomes reflect a population with high distress levels and lower than average mental well‐being, but with normal resilience scores. Carers with higher levels of resilience had greater exercise capacity, covering further distance in the 6‐min walk test, and as resilience increased, number of sedentary bouts decreased. This research demonstrates that there is a relationship between health behaviours and psychological well‐being in carers of veterans and serving personnel. Based on the findings of this pilot study, programmes to support family carers should include information about physical activity, reducing sedentary time, and increasing resilience. Interventions designed to improve physical and psychological well‐being should be trialled and evaluated for effectiveness. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to (1) establish GENEActiv intensity cutpoints in older adults and (2) compare the classification accuracy between dominant (D) or non-dominant (ND) wrist, using both laboratory and free-living data. Methods: Thirty-one older adults participated in the study. They wore a GENEActiv Original on each wrist and performed nine activities of daily living. A portable gas analyzer was used to measure energy expenditure for each task. Testing was performed on two occasions separated by at least 8 days. Some of the same participants ( n = 13) also wore one device on each wrist during 3 days of free-living. Receiver operating characteristic analysis was performed to establish the optimal cutpoints. Results: For sedentary time, both dominant and non-dominant wrist had excellent classification accuracy (sensitivity 0.99 and 0.97, respectively; specificity 0.91 and 0.86, respectively). For Moderate to Vigorous Physical Activity (MVPA), the non-dominant wrist device had better accuracy (ND sensitivity: 0.90, specificity 0.79; D sensitivity: 0.90, specificity 0.64). The corresponding cutpoints for sedentary-to-light were 255 and 375 g · min (epoch independent: 42.5 and 62.5 mg), and those for the light-to-moderate were 588 and 555 g · min (epoch-independent: 98.0 and 92.5 mg) for the non-dominant and dominant wrist, respectively. For free-living data, the dominant wrist device resulted in significantly more sedentary time and significantly less light and MVPA time compared to the non-dominant wrist., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Fraysse, Post, Eston, Kasai, Rowlands and Parfitt.)