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Purpose: The torque–duration relationship in muscle group exercise is characterized by two parameters, the critical torque (CT) and the W prime (Wʹ), which define the limit of tolerance. These parameters have significant utility in assessing health and disease. However, there is a lack of information regarding the optimization of CT and/or Wʹ gains through manipulation of resistance training (RT) variables, especially in older adults. Therefore, this study aimed to investigate the impact of different intensities of RT, specifically higher intensity RT (HIRT) versus lower intensity RT (LIRT), on CT and Wʹ in postmenopausal women. Methods: The study spanned 12 weeks of RT. Postmenopausal women were randomized into three groups: control group (CG, n = 14), LIRT (loads necessary to perform 27–31 repetitions, n = 17), and HIRT (loads necessary to perform 8–12 repetitions, n = 14). Results: Compared to the CG group, the LIRT group exhibited a significant increase in CT (15%, P < 0.05), while the HIRT group showed a significant increase in Wʹ (36%, P < 0.05). Conclusions: Different intensities of RT result in distinct adaptations of torque–duration relationship parameters (Wʹ and CT) in postmenopausal women. [ABSTRACT FROM AUTHOR]

Background: The hyperbolic torque-duration curve depicts critical torque (CT) and W prime (W′), with the curve's asymptote representing CT as the boundary between heavy- and severe-intensity domains. W′, the curvature constant, indicates cumulative work beyond CT. This study investigated age-related reductions in W′, CT, and gait speed, and whether W′ and CT predict gait speed independently of muscle torque. Methods: three groups (adults, middle-aged, older) totaling 131 women were studied. W′ and CT were determined using 60 maximal isometric voluntary contractions of knee extensors. The fast gait speed was calculated in walking tests at 10 m, 400 m, and six minutes (6 MWT). Results: gait speed decreased (p < 0.05) with age, as did W′ and CT. Both W′ and CT correlated positively with gait speed at different distances (10 m, 400 m, 6 MWT). Adjusted for maximum muscle torque, only W′ maintained a positive association (p < 0.05) with all gait speed tests (10 m: β = 0.201, SE = 0.086; 400 m: β = 0.262, SE = 0.085; 6 MWT: β = 0.187, SE = 0.086). Conclusions: aging led to declines in W′, CT, and gait speed. W′, not CT, remained a significant predictor of gait speed, indicating its importance for older women's mobility. [ABSTRACT FROM AUTHOR]

We examined the impact of loss of skeletal muscle mass in post-acute sequelae of SARS-CoV-2 infection, hospital readmission rate, self-perception of health, and health care costs in a cohort of COVID-19 survivors. Prospective observational study. Tertiary Clinical Hospital. Eighty COVID-19 survivors age 59 ± 14 years were prospectively assessed. Handgrip strength and vastus lateralis muscle cross-sectional area were evaluated at hospital admission, discharge, and 6 months after discharge. Post-acute sequelae of SARS-CoV-2 were evaluated 6 months after discharge (main outcome). Also, health care costs, hospital readmission rate, and self-perception of health were evaluated 2 and 6 months after hospital discharge. To examine whether the magnitude of muscle mass loss impacts the outcomes, we ranked patients according to relative vastus lateralis muscle cross-sectional area reduction during hospital stay into either "high muscle loss" (−18 ± 11%) or "low muscle loss" (−4 ± 2%) group, based on median values. High muscle loss group showed greater prevalence of fatigue (76% vs 46%, P =.0337) and myalgia (66% vs 36%, P =.0388), and lower muscle mass (−8% vs 3%, P <.0001) than low muscle loss group 6 months after discharge. No between-group difference was observed for hospital readmission and self-perceived health (P >.05). High muscle loss group demonstrated greater total COVID-19-related health care costs 2 ($77,283.87 vs. $3057.14, P =.0223, respectively) and 6 months ($90,001.35 vs $12, 913.27, P =.0210, respectively) after discharge vs low muscle loss group. Muscle mass loss was shown to be a predictor of total COVID-19-related health care costs at 2 (adjusted β = $10, 070.81, P <.0001) and 6 months after discharge (adjusted β = $9885.63, P <.0001). COVID-19 survivors experiencing high muscle mass loss during hospital stay fail to fully recover muscle health. In addition, greater muscle loss was associated with a higher frequency of post-acute sequelae of SARS-CoV-2 and greater total COVID-19-related health care costs 2 and 6 months after discharge. Altogether, these data suggest that the loss of muscle mass resulting from COVID-19 hospitalization may incur in an economical burden to health care systems. [ABSTRACT FROM AUTHOR]

Purpose: This study sought to investigate the impact of different schemes of load intensity transition (LIT, performed until, or close to, voluntary concentric failure) at 12 weeks on lean body mass (LBM) gains in postmenopausal women (PW) after a 24-weeks intervention. Moreover, since changes in LBM after resistance training (RT) vary widely from person to person, this study also investigated how the LIT affects low- and high-responders for RT-induced change in LBM. Methods: Twenty-four participants were randomized into two schemes of LIT: from lower-load RT (LL, ~ 30% of 1RM) to higher-load RT (HL, ~ 80% of 1RM) (n = 12, loads necessary to perform 27–31 repetitions during 12 weeks plus 12 weeks with loads necessary to perform 8–12 repetitions) and from HL to LL (n = 12, loads necessary to perform 8–12 repetitions during 12 weeks performing plus 12 weeks with loads necessary to perform 27–31 repetitions). LBM (DXA) was measured at baseline, after 12 and 24 weeks of training. Results: There was a progression of RT volume (load intensity x number of repetitions) (P Time < 0.001) in both schemes (Post hoc: P < 0.05); however, greater volume progression was observed in the LL group in both phases. LL to HL and HL to LL similarly stimulating LBM gains after 12 and 24 weeks of RT (P < 0.05). Low-responders (no-gains in LBM at 12 weeks of RT) and high-responders for RT at 12 weeks demonstrate LBM gains after the LIT (i.e., at 24 weeks), regardless of the schemes used. Conclusions: Our study suggests that LIT, regardless of the schemes used, is an effective strategy of RT-progression (after 12 weeks) for increasing LBM in PW (low- and high-responders). [ABSTRACT FROM AUTHOR]

Carneiro, MAS, de Oliveira Júnior, GN, de Sousa, JFR, Murta, EFC, Orsatti, CL, Michelin, MA, Cyrino, ES, and Orsatti, FL. Effects of resistance training at different loads on inflammatory biomarkers, muscle mass, muscular strength, and physical performance in postmenopausal women. J Strength Cond Res 36(6): 1582–1590, 2022—It has been suggested that the effect of resistance training (RT) on circulating proinflammatory biomarkers may be dependent on muscle mass gain. A few recent studies have suggested that lower-load RT (LLRT; loads <50% of 1 repetition maximum [1RM] and repetition performed until, or close to, voluntary concentric failure) may be superior to higher-load RT (HLRT; loads >70% of 1RM) in increasing muscle mass. Hence, this study aimed to test whether LLRT is superior to HLRT for increasing muscle mass (total fat-free mass [TFFM] and leg fat-free mass [LFFM]) and improving circulating inflammatory biomarkers (interleukin [IL]-6, IL1-ra, tumor necrosis factor [TNF]-α, and extracellular heat shock protein [eHSP]70) in postmenopausal women (PW) (primary outcome). The secondary outcome was to compare the changes in muscular strength and physical performance (4-meter walking test [4-M], timed-up-and-go [TUG] test, and sit-to-stand [STS] test) between the LLRT and HLRT. The PW were randomized into 2 groups: LLRT (n = 14; loads necessary to perform 30–35 repetitions) and HLRT (n = 15; loads necessary to perform 8–12 repetitions). The greater magnitude of increase in LFFM (p = 0.033) was observed in LLRT when compared with HLRT. Moreover, there was a trend for a greater increase in TFFM in LLRT over HLRT (p = 0.070). However, there were similar improvements in TNF-α and muscular strength (p < 0.001). Furthermore, there was no significant difference between the RT schemes on IL-6, IL-1ra, and eHSP70 levels. Thus, although performing LLRT until, or close to, voluntary concentric failure seems to provide a greater stimulus for an increase in muscle mass than HLRT, it does not seem to affect the responses in circulating inflammatory biomarkers, muscular strength, and physical performance in PW. [ABSTRACT FROM AUTHOR]

Nascimento de Oliveira Júnior, G, de Freitas Rodrigues de Sousa, J, Augusto da Silva Carneiro, M, Martins, FM, Santagnello, SB, Campos Souza, MV, and Orsatti, FL. Resistance training volume enhances muscle hypertrophy, but not strength in postmenopausal women: a randomized controlled trial. J Strength Cond Res 36(5): 1216–1221, 2022—Among several possible resistance training (RT) variables to be manipulated, the training volume has been considered as a critical variable to maximize RT-induced hypertrophy. Many of the studies that compared one set of RT with 3 sets have failed to show a difference in muscle hypertrophy in older adults. However, it is not clear whether further increases in RT volume (i.e., 6 sets) would result in even greater RT-related hypertrophy than 3 sets in older adults. This study aimed to investigate whether higher-volume RT (HV-RT) maximizes gains in lean body mass and muscle strength (MS) when compared with lower-volume RT (LV-RT) in postmenopausal women (PW). Fifty-eight PW were randomized into 1 of the 3 groups: control group (CT, no exercise), HV-RT (6 sets per exercise), and LV-RT (3 sets per exercise). Volunteers took part in a supervised training program (leg press 45°, leg extension, leg curl and standing calf raises) and were assessed for leg lean mass (LLM; dual X-ray absorptiometry) and lower limb MS (leg press and leg extension; 1 repetition maximum [1RM]) before and after 12 weeks of RT. Both HV-RT and LV-RT groups increased (p < 0.05) LLM and MS when compared with the CT group. Higher increases in LLM gains were observed for the HV-RT group when compared with the LV-RT group (6.1 and 2.3%, p < 0.001). Both HV-RT and LV-RT groups similarly increased 1RM in the leg press and leg extension. Thus, there seems to be a dose-response relationship between RT volume and muscle hypertrophy, but not for MS gains in PW. [ABSTRACT FROM AUTHOR]

The article discusses a study conducted to identify the impact of whole-body resistance training (RT) at various load intensities on adipokines, adhesion molecules and extracellular heat shock proteins in postmenopausal women. It is noted that forty participants were randomized into lower-load intensity RT and it was found that higher-load intensity resistance training improves eHSP60 and 400-M in postmenopausal women.

Menopause transition may impair muscle function, decreasing exercise tolerance. The torque–duration relationship (hyperbolic curve) forms a practical framework within which exercise tolerance may be explored. In this regard, resistance training (RT) increases the curvature constant of this relationship (W′). Muscle hypertrophy and strength gains have been suggested as possible mediators of RT-induced improvement in W′, however, it is unclear what the main mediator is. Higher-volume RT (HV-RT), beyond that recommended by RT-guidelines (i.e. three sets per exercise), may promote greater hypertrophy, but not higher strength gains. Hence, this study aimed to investigate whether greater hypertrophy in HV-RT maximises W′ gain when compared to LVRT in postmenopausal women (PW). Fifty-eight PW were randomised to the control group (CTRL), HV-RT (six sets per exercise) or LV-RT (three sets per exercise). They underwent a 12-week RT program and were assessed for W′, thigh lean body mass (TLBM) and maximal isometric voluntary contraction (MIVC). The TLBM gain was higher (P < 0.001) in the HV-RT (9.4%) than LV-RT (3.7%). However, both HV-RT and LV-RT similarly increased MIVC (9.7% vs. 16.5%, P = 0.063) and W′ (26.4% vs. 34.6% P = 0.163). Additionally, the changes in W′ were associated with the changes in TLBM (31%, P = 0.003) and MIVC (52%, P= <0.001). However, when the changes in TLBM and MIVC were inserted into the predictive model, only the MIVC (33%, P = 0.002) was a predictor of W′. Thus, although HV-RT promoted greater hypertrophy than LV-RT, HV-RT does not seem to maximise W′ in PW. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to investigate whether the higher load resistance training with a cluster training sets (CS) design maximizes muscle power and strength gains when compared to higher load resistance training with a traditional sets (TS) design in postmenopausal women (PW). Methods: Each leg of 16 PW was randomly allocated into two groups: TS (n = 16 legs) and CS (n = 16 legs). Both groups performed three sets of four repetitions at 90% one repetition maximum (1RM), 3 s per muscle action, with a 1.5-min rest interval between sets, twice-weekly, for 8 weeks. Only CS group performed 30 s interrepetition rest periods. Results: Both groups similarly increased (P < 0.05) thigh muscle mass, muscle strength (1RM), and maximal muscle power. However, whereas the CS increased (P < 0.05) peak power at 40% and theoretical maximal velocity (V0), the TS increase theoretical maximal force (F0). The TS reduced slope of the force–velocity relationship when compared to the CS. Conclusions: Although both CS and TS design are similarly effective at improving muscle mass and strength and Pmax, TS and CS induce different changes in the force–velocity profile (Sfv) in PW. Thus, our findings suggest that TS may be a preferential RT design if the focus of training is a force–velocity profile more "force-oriented", whereas CS may be a preferential RT design if the focus of training is a force–velocity profile more "velocity-oriented". [ABSTRACT FROM AUTHOR]

Purpose: In postmenopausal women, optimizing muscular strength and physical performance through proper resistance training (RT) is crucial in achieving optimal functional reserve later in life. This study aimed to compare if a higher-load-tolower-load (HL-to-LL) scheme is more effective than a lower-load-to-higher-load (LL-to-HL) scheme on muscular strength and physical performance in postmenopausal women after 12 and 24 wk of RT. Methods: Twenty-four postmenopausal women were randomized into two groups: LL-to-HL (n = 12, 27-31 repetitions maximum (RM) in the first 12 wk, and 8-12RM in the last 12 wk) or HL-to-LL (n = 12, 8-12RM during the first 12 wk, and 27-31RM in the last 12 wk). Muscular dynamic (1RM test) and isometric strength (MIVC) and functional tests (sit-to-stand power, 400-m walking, and 6-min walking) were analyzed at baseline, after 12 and 24 wk. Results: Different load intensity transition schemes resulted in enhancements (P < 0.05) in dynamic (45° leg press: LL-to-HL = 21.98% vs HL-to-LL = 16.07%; leg extension: LL-to-HL = 23.25% vs HL-to-LL = 16.28%; leg curl: LL-to-HL = 23.89% vs HL-to-LL = 13.34%) and isometric strength (LLto-HL = 14.63% vs HL-to-LL = 19.42%), sit-to-stand power (LL-to-HL = 7.32% vs HL-to-LL = 0%), and walking speed (400-m test: LL-to-HL = 3.30%vsHL-to-LL = 5.52%; 6-min test: LL-to-HL = 4.44%vs HL-to-LL = 5.55%) after 24wk of RT, without differences between groups (P > 0.05). However, only the HL increased the dynamic strength in 45° leg press and leg extension and sit-to-stand power. Moreover, walking speed changes were more strongly correlated with the changes in MIVC (P < 0.05). Conclusions: Our results indicate that both load intensity transition schemes produce similar improvements in muscular strength and physical performance in postmenopausal women after 24 wk of RT. However, the HL was more effective in increasing 45° leg press and leg extension strength, as well as power (mainly when performed after the LL), whereas having little effect on leg curl strength, isometric strength, and walking speed. Our findings suggest that although an HL makes a muscle isotonically stronger, it may have limited impact on isometric strength and walking speed in postmenopausal women. [ABSTRACT FROM AUTHOR]

We aimed to investigate associations between sleep quality with selected quantitative and qualitative parameters of health in older individuals with obesity. Cross-sectional assessment (n = 95 men/women; ≥ 65 years; BMI ≥ 30 kg/m2) of sleep quality, body composition, handgrip strength, quality-of-life, anxiety/depression. Mean PSQI score was 6.3. Poor sleepers (n = 49) presented lower appendicular lean mass (ALM) (16.2 vs 17.8 kg; p = 0.0273), ALM/BMI (0.47 vs 0.53 kg/BMI; p = 0.0085), fat mass (48.6 vs 46.6%; p = 0.0464), handgrip strength (19.7 vs 22.0 kgf; p = 0.0542) and handgrip/BMI (0.57 vs 0.66 kgf/BMI; p = 0.0242) than good sleepers. They also had higher anxiety (8.6 vs 5.6; p = 0.0100) and depression (4.8 vs 3.2; p = 0.0197) scores, worse health-related quality-of-life and lower scores in mental (62.8 vs 73.0; p = 0.0223) and physical (52.9 vs 67.3; p = 0.0015) domains. Adjusted models showed that PSQI was negatively associated with ALM (β = − 0.13, 95% CI − 0.25; − 0.01) and health-related quality of life on physical (β = − 2.76, 95% CI − 3.82; − 1.70) and mental (β = − 2.25, 95% CI − 3.38; − 1.12) domains, and positively associated with anxiety (β = 0.57; 95% CI 0.26; 0.87) and depression (β = 0.31; 95% CI 0.13; 0.49). Poor sleep quality associates with impaired selected quantitative and qualitative parameters of health. Additionally, sleep quality was shown as an independent predictor of ALM, health-related quality-of-life, anxiety and depression in older individuals with obesity. [ABSTRACT FROM AUTHOR]

This systematic review with meta-analysis aimed to compare the changes caused by exercise intervention with those provoked by usual care on physical function biomarkers in older adults immediately after hospital discharge. Two independent authors performed a systematic search (PubMed, Scopus, Web of Science, and SciELO) of studies published from database inception until August 2021. Randomized clinical trials investigating the effects of an exercise intervention compared to usual care were included. The Cochrane Collaboration assessment tool was used to analyze the risk of bias. The comparisons included handgrip strength, the short physical performance battery scale, six-minute walking test, and 10-m gait speed. Overall, the exercise intervention led to significantly greater changes compared to usual care in physical function biomarkers [standard mean difference = 0.89, 95% CI = 0.39, 1.42; P = 0.001]. However, considering the very few studies investigating each variable separately, our sub-analysis did not reveal a significant effect of the exercise intervention on handgrip strength, the short physical performance battery, six minutes walking test, and 10-m gait speed. This systematic review with meta-analysis of randomized clinical trials suggests that exercise intervention induce greater physical function biomarker alterations in older adults after hospitalization than usual care including physical activity guidance. Future trials comparing the effects of these intervention groups on physical function biomarkers in this population are needed to confirm our results. Potential mechanism involved in mitigating impairments in physiological resilience and declines in physical function biomarkers induced by exercise interventions in older adults after hospital discharge. [Display omitted] • Acute hospitalization causes an impact dramatic and permanent on physical function biomarkers during hospital-based care. • Vulnerability conferred by hospitalization in older adults leads to impairment in these biomarkers also after discharge. • Exercise intervention is better than usual care to improve physical function biomarkers in older adults after discharge. • Exercise intervention might help older adults recover from adverse effects caused by hospitalization also after discharge. [ABSTRACT FROM AUTHOR]

Background: This study sought to investigate whether different physical function tests (objective measures of physical performance) may identify a low physical resilience in breast cancer survivors (BCS). Methods: This analytical cross-sectional study evaluated 146 BCS and 69 age-matched women without breast cancer history. The different times after the end of treatment were used as criteria for group division. Participants were divided into four groups: control (CT: n = 69–women without breast cancer history); <1.0 years after the end of treatment (<1 YAT: n = 60); 1–3.9 years after the end of treatment (1–3.9 YAT: n = 45); and ≥4 years after the end of treatment (>4 YAT: n = 41). Physical function was evaluated by 4 m walk test (4-MWT), five-times-sit-to-stand test (FTSST), timed up and go test (TUG), and short physical performance battery (SPPB). Age, menopausal status, smoking, number of medications, level of physical activity, body mass index, and muscle strength were used as confounding variables in ANCOVA. Results: All groups that underwent cancer treatment (<1 YAT, 1–3.9 YAT and ≥4 YAT) had lower physical performance (p < 0.001) identified by 4 MWT, TUG, and FTSST when compared to the CT group. For the SPPB, the <1 YAT and ≥4 YAT groups had lower performance (p = 0.005) when compared to the CT. Conclusions: The different physical function tests can be used to identify a low physical resilience in BCS. [ABSTRACT FROM AUTHOR]

The aim of this study was to determine whether Post-acute Sequelae of SARS-CoV-2 Infection (PASC) are associated with physical inactivity in COVID-19 survivors. This is a cohort study of COVID-19 survivors discharged from a tertiary hospital in Sao Paulo, Brazil. Patients admitted as inpatients due to laboratory-confirmed COVID-19 between March and August 2020 were consecutively invited for a follow-up in-person visit 6 to 11 months after hospitalization. Ten symptoms of PASC were assessed using standardized scales. Physical activity was assessed by questionnaire and participants were classified according to WHO Guidelines. 614 patients were analyzed (age: 56 ± 13 years; 53% male). Frequency of physical inactivity in patients exhibiting none, at least 1, 1–4, and 5 or more symptoms of PASC was 51%, 62%, 58%, and 71%, respectively. Adjusted models showed that patients with one or more persistent PASC symptoms have greater odds of being physically inactive than those without any persistent symptoms (OR: 1.57 [95% CI 1.04–2.39], P = 0.032). Dyspnea (OR: 2.22 [1.50–3.33], P < 0.001), fatigue (OR: 2.01 [1.40–2.90], P < 0.001), insomnia (OR: 1.69 [1.16–2.49], P = 0.007), post-traumatic stress (OR: 1.53 [1.05–2.23], P = 0.028), and severe muscle/joint pain (OR: 1.53 [95% CI 1.08–2.17], P = 0.011) were associated with greater odds of being physically inactive. This study suggests that PASC is associated with physical inactivity, which itself may be considered as a persistent symptom among COVID-19 survivors. This may help in the early identification of patients who could benefit from additional interventions tailored to combat inactivity (even after treatment of PASC), with potential beneficial impacts on overall morbidity/mortality and health systems worldwide. [ABSTRACT FROM AUTHOR]