Physical and functional fitness changes in older adults in response to a traditional training program and a Wii enhanced training program

The Wii Fit Plus Balance program has been recommended as an alternative training tool for older adults to improve physical and functional fitness. However, the effectiveness of the Wii Fit Plus in combination with traditional training approaches in older adults is unclear. PURPOSE: To compare changes in physical fitness measures in older adults (OA) engaging in two different training programs: 1) traditional exercises performed by the control group (CG) and 2) traditional exercises complemented by Wii balance games performed by the experimental group (EG). METHODS: 35 untrained OA (mean ± SD Age: 68.86 ± 6.13; BMI: 28.89 ± 5.32) with no exercise history were recruited and randomly assigned to either the CG or EG group. CG and EG programs both included cardio, strength, flexibility, and balance training exercises. However, subjects in the EG group performed additional balance exercises using Wii fit plus program. Both CG and EG subjects exercised twice per week for twelve weeks. Fitness assessments were based on standard procedures including the chair stand, gallon jug transfer, 8 foot up-and-go tests, as well as a long ramp walk and medicine ball throw tests. Data were collected at weeks 1, 6, and 12. Data analysis was conducted using the general linear mixed model with alpha level set at p\u3c0.05. RESULTS: A significant time effect was found for all fitness measures in both groups from week 1 to 6 (p\u3c0.001) and week 1 to 12 (p\u3c0.001). In general CG and EG subjects made 5.5% to 31.7% improvement from Week 1 to 6 and 8.1% to 52.5% improvement from Week 1 to 12. No significant group effects were observed between the CG and EG groups (p\u3e0.370). Also, no significant group by time interactions were observed for any of the fitness measures (p\u3e0.290). CONCLUSION: It appears that the use of the Wii Fit Plus Balance in conjunction with a traditional exercise program does not provide added significant fitness benefits for older adults. While additional fitness benefits are not evident, it appears that both a traditional exercise program alone and a traditional exercise program combined with the Wii Fit Plus Balance training may elicit significant fitness improvements

Walk with Me: a protocol for a pilot RCT of a peer-led walking programme to increase physical activity in inactive older adults

Background: Levels of physical activity decline with age. Some of the most disadvantaged individuals in society, such as those from lower socio-economic position, are also the most inactive. Increasing physical activity levels, particularly among those most inactive, is a public health priority. Peer-led physical activity interventions may offer a model to increase physical activity in the older adult population. This study aims to test the feasibility of a peer-led, multicomponent physical activity intervention in socio-economically disadvantaged community dwelling older adults. Methods: The Medical Research Council framework for developing and evaluating complex interventions will be used to design and test the feasibility of a randomised controlled trial (RCT) of a multicomponent peer-led physical activity intervention. Data will be collected at baseline, immediately after the intervention (12 weeks) and 6 months after baseline measures. The pilot RCT will provide information on recruitment of peer mentors and participants and attrition rates, intervention fidelity, and data on the variability of the primary outcome (minutes of moderate to vigorous physical activity measured with an accelerometer). The pilot trail will also assess the acceptability of the intervention and identify potential resources needed to undertake a definitive study. Data analyses will be descriptive and include an evaluation of eligibility, recruitment, and retention rates. The findings will be used to estimate the sample size required for a definitive trial. A detailed process evaluation using qualitative and quantitative methods will be conducted with a variety of stakeholders to identify areas of success and necessary improvements. Discussion: This paper describes the protocol for the ‘Walk with Me’ pilot RCT which will provide the information necessary to inform the design and delivery of a fully powered trial should the Walk with Me intervention prove feasible

Association Between Single-Leg Agility and Single-Leg Vertical Jumping Performance in Active Adults

The vertical jump is crucial in sports and indicates lower body explosiveness. Additionally, vertical jumping requires landing bilaterally or unilaterally. PURPOSE: To determine any differences in unilateral vertical jump performance when landing unilaterally or bilaterally. METHODS: Thirty recreationally trained individuals (age = 23.5 ± 2.2 years) performed three trials of vertical jumps under four different conditions in random order (unilateral-left vertical jump with bilateral landing, unilateral-right vertical jump with bilateral landing, unilateral-left vertical jump with ipsilateral landing, and unilateral-right vertical jump with ipsilateral landing). Kinetic data (peak force, relative peak force, peak power, and relative peak power) was obtained from all jumps at 1000 Hz sampling rate. The average score between trials for the vertical jump were used for statistical analysis in SPSS 25. Independent T-tests were used to find differences in vertical jump measures depending on landing condition with p-value at 0.05. RESULTS: No significant differences between limbs in jump height (Right = 0.08 cm ± 0.04; Left cm = 0.11 ± 0.05), peak force (Right = 473.3 N ± 135.6; Left = 600.1 N ± 182.6), relative peak force (Right = 6.8 N*kg ± 2.6; Left = 7.8 N*kg ± 1.9), peak power (Right = 1505.4 W ± 524.5; Left = 1934.9 W ± 771.9), and relative peak power (Right = 21.3 W*kg ± 7.2; Left = 25.5 W*kg ± 5.8) during unilateral vertical jumps between the landing conditions (p \u3e 0.05). CONCLUSION: It appears that landing conditions do not affect unilateral jump performance in recreationally trained athletes

The effect of resistance training interventions on weight status in youth:a meta-analysis

Abstract Background There has been a rise in research into obesity prevention and treatment programmes in youth, including the effectiveness of resistance-based exercise. The purpose of this meta-analysis was to examine the effect of resistance training interventions on weight status in youth. Methods Meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and was registered on PROSPERO (registration number CRD42016038365). Eligible studies were from English language peer-reviewed published articles. Searches were conducted in seven databases between May 2016 and June 2017. Studies were included that examined the effect of resistance training on weight status in youth, with participants of school age (5–18 years). Results There were 24 complete sets of data from 18 controlled trials (CTs) which explored 8 outcomes related to weight status. Significant, small effect sizes were identified for body fat% (Hedges’ g = 0.215, 95% CI 0.059 to 0.371, P = 0.007) and skinfolds (Hedges’ g = 0.274, 95% CI 0.066 to 0.483, P = 0.01). Effect sizes were not significant for: body mass (Hedges’ g = 0.043, 95% CI − 0.103 to 0.189, P = 0.564), body mass index (Hedges’ g = 0.024, 95% CI − 0.205 to 0.253, P = 0.838), fat-free mass (Hedges’ g = 0.073, 95% CI − 0.169 to 0.316, P = 0.554), fat mass (Hedges’ g = 0.180, 95% CI − 0.090 to 0.451, P = 0.192), lean mass (Hedges’ g = 0.089, 95% CI − 0.122 to 0.301, P = 0.408) or waist circumference (Hedges’ g = 0.209, 95% CI − 0.075 to 0.494, P = 0.149). Conclusions The results of this meta-analysis suggest that an isolated resistance training intervention may have an effect on weight status in youth. Overall, more quality research should be undertaken to investigate the impact of resistance training in youth as it could have a role to play in the treatment and prevention of obesity

The Relationship between Squat Jump Performance and Sprint Profile in Collegiate Track and Field Athletes

The squat jump (SJ) necessitates the inter-play of various biomechanical components for better jump performance. Good sprint performance requires the inter-play of many of the same biomechanical components. Researchers have previously examined how the speed, force, velocity, and power interact during sprinting, but have yet to examine how these measures are associated with SJ performance measures. PURPOSE: Examine the relationship between squat jump performance measures and the sprint profile measurements of collegiate track and field athletes. METHODS: Twenty-five athletes (18 males and 7 females) completed two squat jump trials with a linear encoder attached to a 45 lbs. bar placed on the athlete’s upper back. Measures of interest during the concentric phase of the SJ included jump height, maximum force, maximum velocity, maximum power, and rate of force development. Athletes then completed two 30-meter acceleration sprints. The MySprint mobile application was used to acquire the athlete’s sprint profile and to assess maximal theoretical horizontal force, maximal theoretical velocity, optimal velocity, maximal theoretical power, maximal speed, maximal ratio of force, force-velocity slope, and decrease in ratio of force. The best trial was used for statistical analysis. Pearson’s or Spearman’s correlation coefficients were conducted between SJ measures and sprint profile measures. RESULTS: There was a positive correlation between SJ height and maximal speed (r = 0.402; p = 0.042). Maximal power during the SJ was positively correlated with maximal speed (r = 0.476; p = 0.014); optimal velocity (r = 0.469; p = 0.018); maximal theoretical power (r = 0.462; p = 0.018); maximal theoretical velocity (r = 0.452; p = 0.021); theoretical horizontal force (r = 0.431; p = 0.028); and maximal ratio force (r = 0.428; p = 0.029). Maximal velocity during the SJ was correlated with maximal speed (r = 0.519; p = 0.007); maximal theoretical velocity (r = 0.499; p = 0.010); optimal velocity (r = 0.486; p = 0.014); and maximal theoretical power (r = 0.484; p = 0.012). No other correlations were significant. CONCLUSION: Maximal velocity and power during the concentric phase of the SJ are moderately to strongly correlated with maximal sprinting speed, velocity, and power. SJ height is positively correlated with maximum sprint speed. There is a lack of significant correlations between other measures of the SJ and sprint profile measures. SJ power and velocity are correlated with sprint performance, therefore power and velocity improved through plyometric SJ training may be transferable to achieve better sprint performance

Associations of sarcopenia components with physical activity and nutrition in Australian older adults performing exercise training

BACKGROUND: The risk of progressive declines in skeletal muscle mass and strength, termed sarcopenia, increases with age, physical inactivity and poor diet. The purpose of this study was to explore and compare associations of sarcopenia components with self-reported physical activity and nutrition in older adults participating in resistance training at Helsinki University Research [HUR] and conventional gyms for over a year, once a week, on average. METHODS: The study looked at differences between HUR (n = 3) and conventional (n = 1) gyms. Muscle strength (via handgrip strength and chair stands), appendicular lean mass (ALM; via dual energy X-ray absorptiometry) and physical performance (via gait speed over a 4-m distance, short physical performance battery, timed up and go and 400-m walk tests) were evaluated in 80 community-dwelling older adults (mean ± SD 76.5 ± 6.5 years). Pearson correlations explored associations for sarcopenia components with self-reported physical activity (via Physical Activity Scale for the Elderly [PASE]) and nutrition (via Australian Eating Survey). RESULTS: No differences in PASE and the Australian Recommended Food Score (ARFS) were observed between HUR and conventional gyms, however HUR gym participants had a significantly higher self-reported protein intake (108 ± 39 g vs 88 ± 27 g; p = 0.029) and a trend to have higher energy intake (9698 ± 3006 kJ vs 8266 ± 2904 kJ; p = 0.055). In both gym groups, gait speed was positively associated with self-reported physical activity (r = 0.275; p = 0.039 and r = 0.423; p = 0.044 for HUR and conventional gyms, respectively). ALM was positively associated with protein (p = 0.047, r = 0.418) and energy (p = 0.038, r = 0.435) intake in the conventional gym group. Similar associations were observed for ALM/h2 in the HUR group. None of the sarcopenia components were associated with ARFS in either gym group. CONCLUSION: Older adults attending HUR and conventional gyms had similar self-reported function and nutrition (but not protein intake). Inadequate physical activity was associated with low gait speed and inadequate nutrition and low protein ingestion associated with low lean mas, even in older adults participating in exercise programs. Optimal physical activity and nutrition are important for maintaining muscle mass and function in older adults

Scores for the Modified Functional Movement Screen in Active Older Adults

The modified Functional Movement ScreenTM (mFMS), an adapted form of the traditional FMS for older adults, consists of a battery of tests aiming at identifying areas of movement deficiency. Prompt identification of movement deficiency can help exercise practitioners create a tailored program to improve these limitations. PURPOSE: To establish normative values for the mFMS in healthy active older adults. METHODS: There were 141 individuals (56 males and 85 females; mean age ± SD: age 69.51 ± 7.41 years) who participated in the study. Participants performed an 8-10 minute warm-up at a self-selected pace on a treadmill or stationary bike then completed some dynamic stretches. Following the warm-up protocol, the mFMS screening test was administrated, including the deep squat (DS), shoulder mobility screen (SM), lower body motor control screen (LB-MCS), active straight leg raise (ASLR), shoulder and ankle clearing tests. Due to the range of the mFMS scoring criteria (0-3) for screens and (pass/fail) for the clearing tests, all screens (DS, SM, LB-MCS, ASLR) and clearing tests (shoulder and ankle) were analyzed as categorical and not continuous variables. Consequently, percent counts were reported for each variable. RESULTS: The DS, which requires extensive mobility and motor control, presented a challenge for many subjects: only 17.0% of older adults were able to achieve a perfect score during the DS test. The majority of older adults (95%) did not report any pain during the ankle clearing tests. Similarly, a large proportion of older adults did not report any pain during the shoulder clearing tests (95.7% for the right and 96.3% for the left). More than half of the older adult subjects (53.9%) were able to pass both the right and left LB-MCS. A greater percentage of subjects (41.1%) were able to achieve a perfect score on the right SM compared to (26.2%) for the left. Lastly, the majority of subjects completed the ASLR with a perfect score, 68.8% and 68.1% for the right and left legs, respectively. CONCLUSION: This study highlights areas of mobility, stability, and movement proficiency that seem to be of concern across the active older adult population. Mobility among inactive, physically frail or untrained older adults may display lower scores and therefore screening should be approached with caution. Additionally, exercise practitioners working with active older adults may use values reported in this study as a reference point for comparison