Objective: Acrobatics and Tumbling (A&T), an emerging National Collegiate Athletics Association (NCAA) sport, involves athletes with rigorous training backgrounds, usually extending from youth through early adulthood. This study examines the sleep health, diet quality, and lipid profile of A&T athletes clustered by their performance position. Methods: Forty-two A&T athletes, clustered as tops (n = 19; age = 19.6 +/- 1.0 years; body mass index [BMI] = 22.3 +/- 1.7 kg/m2) and bases (n = 23; age = 19.6 +/- 1.3 years; BMI = 25.7 +/- 2.5 kg/m2), completed preseason sleep and diet quality (Rapid Eating Assessment for Participants-Shortened [REAP-S]) surveys. Fasting blood samples were collected for lipid analysis. Body composition was assessed via dual-energy X-ray absorptiometry. Results: Most athletes (71.4%; base n = 14, top n = 16) reported insufficient sleep (<= 7 hours) and "good" sleep quality (90.4%, n = 38; base n = 18, top n = 20). Average REAP-S score was 29.24 +/- 3.74. Approximately 31% (n = 13) displayed at least one undesirable lipid concentration according to medical guidelines for normal levels (total cholesterol [TC] < 200 mg/dL, triglycerides [TG] < 150 mg/dL, high-density lipoprotein cholesterol [HDL-C] > 40 mg/dL, low-density lipoprotein cholesterol [LDL-C] < 130 mg/dL). Approximately 20% exhibited elevated TC (top n = 4, base n = 4), 12.5% had elevated TG (base n = 5), 2.5% showed low HDL-C (base n = 1), and 10% presented elevated LDL-C (top n = 2, base n = 2). Conclusions: Most athletes experienced suboptimal sleep (<= 7 hours/night) and 31% displayed at least one undesirable lipid concentration (elevated TC, TG, or LDL-C or reduced HDL-C). Tailoring interventions with sports dietitians is recommended, focused on increasing monounsaturated and polyunsaturated fat intake while reducing saturated fat consumption. These interventions could mitigate cardiovascular risks, improve recovery, and possibly enhance athletic performance.

This study examined the effects of two different acute bouts of treadmill running (e.g., steady-state moderate-intensity exercise (SSE) and high-intensity interval exercise (HIIE)) on adipokine (e.g., adiponectin, leptin, and omentin) concentrations in individuals with moderate stages of chronic kidney disease (CKD). Fourteen participants (8 females and 6 males) (age 58.7 ± 9.7, height (cm) 168.5 ± 9.7, weight (kg) 83.5 ± 18.2) were classified as having moderate stages of CKD (stages G3a and G3b; estimated glomerular filtration rate (eGFR) between 59 and 30 mL/min/1.73 m²). Participants completed 30 min of either SSE at 65% oxygen consumption reserve (VO₂R) or HIIE for 3 min at a 90% VO₂R separated by 2 min of slow walking (20% VO₂R) in a randomized, crossover design on a treadmill. Venous blood samples were obtained at baseline, 1 h, and 24 h post exercise. Data were analyzed using a two by three repeated measures ANOVA (p < 0.05). There were no significant differences in adiponectin (p < 0.353), leptin (p < 0.084), and omentin (p < 0.235) concentrations between SSE and HIIE. Similarly, no significant differences were seen between the sampled time points for either aerobic exercise condition. In conclusion, this study demonstrated there were no changes in adiponectin, leptin, or omentin concentrations when performing an acute bout of HIIE or SSE for 30 min, at 1 or 24 h post exercise. Future studies should seek to either increase the duration of the exercise bout or identify different adipokines to examine for patients experiencing moderate stages of CKD.

Body composition (BC), a measure of body fat mass (FM), lean body mass (LBM), and bone mineral content (BMC), can be used as a predictor of cardiorespiratory fitness (CRF). Prior studies have established a relationship between BC and VO_2max in healthy individuals over 35 years of age. However, this relationship is poorly understood in chronic disease populations. The focus of the study was to assess the relationship between BC, cardiorespiratory fitness, and chronic kidney disease (CKD). A cross-sectional analysis was conducted among 24 (9 males and 15 females) individuals diagnosed with mid-spectrum CKD (stages G2–G3b) who completed a health screening, dual-energy X-ray absorptiometry (DEXA) scan, and underwent a VO_2max exercise test. Normality tests, descriptive statistics, Pearson’s correlations, t-tests, and ANOVAs were conducted in SAS v.9.4. The average percent body fat (%BF) was 36.28 ± 8.47%, LBM was 109.4 ± 29.1 lb, BMC was 2308.7 ± 735.1 g, and VO_2max was 20.13 ± 5.04 mL/kg/min⁻¹. BC was able to predict CRF via VO_2max (R2 = 0.721, p < 0.001) and CKD stage (R2 = 0.390, p < 0.017). Positive correlations were observed in LBM (r = 0.750, p < 0.0018) and BMC (r = 0.647, p < 0.001), and negative correlations were observed with FM (r = −0.384, p < 0.032) and %BF (r = −0.802, p < 0.0001). BC was able to predict both CRF and CKD stages, with significant associations observed between BC, VO_2max, and CKD stage. The progression of the CKD stage was associated with lower LBM, BMC, and VO_2max values, indicating a graded effect of BC on CRF and CKD stage.

The Army Combat Fitness Test (ACFT) is a performance assessment used by the U.S. Army to assess a cadet’s strength, endurance, and agility with a series of six events to ensure that cadets are combat ready. Heart rate variability (HRV) is an instrument that measures cardiac autonomic modulation and has been incorporated to predict the performance of athletes in daily training and competition since acute bouts of exercise alter HRV variables. To assess the applicability of using HRV to predict ACFT score performance outcomes in cadets. Fifty army cadets (n = 36 male; n = 14 female; age = 20.60 ± 3.61 years; height = 173.34 ± 10.39 cm; body mass = 76.33 ± 14.68 kg; body fat percentage = 17.58 ± 5.26%) completed the ACFT and reported for HRV assessment. HRV assessment had the participant lay supine for 5 minutes, and traditional time and frequency domain variables were assessed. A Pearson’s correlation and multiple linear regressions were run. HRV time and frequency domains were not significantly correlated in linear regression models except the stress index (SI) and the 2-mile run (2MR). The standing power throw and sprint drag carry were significantly correlated with traditional HRV variables. HRV was not a predictor of ACFT performance for individual events or overall ACFT. The SI presented predictive properties only for 2MR, with no other significant correlations between HRV variables with standing power throw and sprint drag carry. The SI ability to predict 2MR performance outcome via HRV is a promising tool to assess army cadet performance and recovery.