CrossFit^® training is one of the fastest-growing fitness activities in the world due to its varied functional movement and competition experience. The performance is present in almost every workout of the day (WOD); however, there is a lack of knowledge in the science that did not allow us to fully understand the performance determinants of CrossFit WOD’s like we do for other individual or team sports. The purpose of this study was to analyze the physical and physiological variables of recreational trained CrossFit athletes during one of the most famous WOD, FRAN, and to identify which variables best determine performance. Methods: Fifteen CrossFit practitioners performed, alone on separate days, 1RM and a maximum of repetitions of pull-ups test, 1RM and a maximum of repetitions of thrusters with 95 lb/43.2 kg, FRAN CrossFit WOD, and 2K Row test. Results: Blood lactate concentrate, HR_max, HR_av, and RPE achieved higher values for 2K Row and maximum repetitions of thrusters. Maximum repetition of thrusters and pull-ups, 1RM of thrusters, and 2K Row resulted in moderate to strong correlation with FRAN performance (r = −0.78; r = −0.58; r = −0.67; r = 0.63, respectively). Conclusions and practical applications: FRAN performance was strongly related to maximal and endurance strength training of thrusters, which should be prioritized.

Physical exercise results in very important benefits including preventing disease and promoting the quality of life of older individuals. Common interruptions and training cessation are associated with the loss of total health profile, and specifically cardiorespiratory fitness. Would detraining (DT) promote different effects in the cardiorespiratory and health profiles of trained and sedentary older women? Forty-seven older women were divided into an experimental group (EG) and a control group (CG) (EG: n = 28, 70.3 ± 2.3 years; CG: n = 19, 70.1 ± 5.6 years). Oxygen uptake (VO₂₎ and health profile assessments were conducted after the exercise program and after three months of detraining. The EG followed a nine-month multicomponent exercise program before a three-month detraining period. The CG maintained their normal activities. Repeated measures ANOVA showed significant increases in total heath and VO₂ (p < 0.01) profile over a nine-month exercise period in the EG and no significant increases in the CG. DT led to greater negative effects on total cholesterol (4.35%, p < 0.01), triglycerides (3.89%, p < 0.01), glucose (4.96%, p < 0.01), resting heart rate (5.15%, p < 0.01), systolic blood pressure (4.13%, p < 0.01), diastolic blood pressure (3.38%, p < 0.01), the six-minute walk test (7.57%, p < 0.01), Pulmonary Ventilation (VE) (10.16%, p < 0.01), the Respiratory Exchange Ratio (RER) (9.78, p < 0.05), and VO₂/heart rate (HR) (16.08%, p < 0.01) in the EG. DT may induce greater declines in total health profile and in VO₂, mediated, in part, by the effectiveness of multicomponent training particularly developed for older women.

Training-intensity distribution (TID) is considered the key factor to optimize performance in endurance sports. This systematic review aimed to: I) characterize the TID typically used by middle-and long-distance runners; II) compare the effect of different types of TID on endurance performance and its physiological determinants; III) determine the extent to which different TID quantification methods can calculate same TID outcomes from a given training program. The keywords and search strategy identified 20 articles in the research databases. These articles demonstrated differences in the quantification of the different training-intensity zones among quantification methods (i. e. session-rating of perceived exertion, heart rate, blood lactate, race pace, and running speed). The studies that used greater volumes of low-intensity training such as those characterized by pyramidal and polarized TID approaches, reported greater improvements in endurance performance than those which used a threshold TID. Thus, it seems that the combination of high-volume at low-intensity (≥ 70% of overall training volume) and low-volume at threshold and high-intensity interval training (≤ 30%) is necessary to optimize endurance training adaptations in middle-and long-distance runners. Moreover, monitoring training via multiple mechanisms that systematically encompasses objective and subjective TID quantification methods can help coaches/researches to make better decisions.

Filho, MM, Venturini, GRdO, Moreira, OC, Leitão, L, Mira, PA, Castro, JB, Aidar, FJ, Novaes, JdS, Vianna, JM, and Caputo Ferreira, ME. Effects of different types of resistance training and detraining on functional capacity, muscle strength, and power in older women: A randomized controlled study. J Strength Cond Res 36(4): 984–990, 2022—Resistance training (RT) increases muscle strength, power, and functional capacity (FC) of older women. However, these benefits can be lost partially or totally with detraining. This study aimed to compare the effect of 20 weeks of different types of RT and 4 weeks of detraining on muscle strength, power, and FC in older women. Ninety-five older women were randomly divided into 4 experimental groups (strength endurance, power, absolute strength, and relative strength training) and 1 control group (CG). We assessed muscle strength (10RM test) and muscle power of the lower (countermovement jump) and upper limbs (medicine ball pitch). Functional capacity was assessed by the Senior Fitness Test, which comprises the following tests: 30-second arm curl, 30-second chair stand, back scratch, chair sit and reach, 8-foot up and go, and 6-minute walk. The experiment lasted 24 weeks (familiarization: 2 weeks; neural adaptation: 6 weeks; specific training: 12 weeks; and detraining: 4 weeks). Muscle strength, lower and upper limb power (all p < 0.05), 30-second arm curl, 30-second chair stand, 8-foot up and go, 6-minute walk (all p < 0.001), and lower limb flexibility (p = 0.002) improved in all experimental groups after training and CG showed no differences in any of these variables. After detraining, muscle strength, lower and upper limb power (p < 0.05 for all), and FC decreased in comparison to the end of RT (30-second arm curl, 30-second chair stand, 8-foot up and go, 6-minute walk, and lower limb flexibility, p < 0.05 for all). Although the FC of the subjects has been reduced after 4 weeks of detraining, it was maintained at higher levels in comparison to baseline. These results suggested that older women can be submitted to different types of RT to achieve improvements in general fitness.

This study was designed to analyze the chronical responses of the hormonal and immune systems after a CrossFit^® training period of six months as well as to compare these results between genders. Twenty-nine CrossFit^® practitioners (35.3 ± 10.4 years, 175.0 ± 9.2 cm, 79.5 ± 16.4 kg) with a minimum CrossFit^® experience of six months were recruited, and hormonal and immune responses were verified every two months during training. The training was conducted in five consecutive days during the week, followed by two resting days. Testosterone (T) values were significantly higher at the last measurement time (T6 = 346.0 ± 299.7 pg·mL⁻¹) than at all the other times (p < 0.002) and were higher in men than in women (p < 0.001). Cortisol (C) levels were lower at all times compared to the initial level before training, and differences were observed between men and women, with men having a lower value (T0: p = 0.028; T2: p = 0.013; T4: p = 0.002; and T6: p = 0.002). The TC ratio in women was lower at all times (p < 0.0001) than in men. Significant effects on CD8 levels at different times (F_(3.81) = 7.287; p = 0.002; η_p² = 0.213) and between genders (F_(1.27) = 4.282; p = 0.048; η_p² = 0.137), and no differences in CD4 levels were observed. CrossFit^® training changed the serum and basal levels of testosterone and cortisol in men (with an increase in testosterone and a decrease in cortisol).