Muscle Mass and Strength Gains Following Resistance Exercise Training in Older Adults 65-75 Years and Older Adults Above 85 Years.

Resistance exercise training (RET) can be applied effectively to increase muscle mass and function in older adults (65-75 years). However, it has been speculated that older adults above 85 years are less responsive to the benefits of RET. This study compares the impact of RET on muscle mass and function in healthy older adults 65-75 years versus older adults above 85 years. We subjected 17 healthy older adults 65-75 years (OLDER 65-75, n = 13/4 [female/male]; 68 ± 2 years; 26.9 ± 2.3 kg/m2) and 12 healthy older adults above 85 years (OLDER 85+, n = 7/5 [female/male]; 87 ± 3 years; 26.0 ± 3.6 kg/m2) to 12 weeks of whole-body RET (three times per week). Prior to, and after 6 and 12 weeks of training, quadriceps and lumbar spine vertebra 3 muscle cross-sectional area (computed tomography scan), whole-body lean mass (dual-energy X-ray absorptiometry scan), strength (one-repetition maximum test), and physical performance (timed up and go and short physical performance battery) were assessed. Twelve weeks of RET resulted in a 10% ± 4% and 11% ± 5% increase in quadriceps cross-sectional area (from 46.5 ± 10.7 to 51.1 ± 12.1 cm2, and from 38.9 ± 6.1 to 43.1 ± 8.0 cm2, respectively; p < .001; η2 = .67); a 2% ± 3% and 2% ± 3% increase in whole-body lean mass (p = .001; η2 = .22); and a 38% ± 20% and 46% ± 14% increase in one-repetition maximum leg extension strength (p < .001; η2 = .77) in the OLDER 65-75 and OLDER 85+ groups, respectively. No differences in the responses to RET were observed between groups (Time × Group, all p > .60; all η2 ≤ .012). Physical performance on the short physical performance battery and timed up and go improved (both p < .01; η2 ≥ .22), with no differences between groups (Time × Group, p > .015; η2 ≤ .07). Prolonged RET increases muscle mass, strength, and physical performance in the aging population, with no differences between 65-75 years and 85+ years older adults.

[Quality of life, level of physical activity and functional tests in actively working adults and older people]. / Calidad de vida, nivel de actividad física y pruebas funcionales en personas adultas y mayores laboralmente activas.

BACKGROUND: The population of actively working older people is growing rapidly. The relationship between quality of life, levels of physical activity and functionality in this population is not entirely clear. AIM: To determine the association between quality of life, levels of physical activity and functional tests in actively working adults and older people. MATERIAL AND METHODS: Cross sectional assessment of 138 adults aged 40 to 50 years (53% women) and 119 older people aged 60 to 75 years (53% women) who were actively working in two public services. Quality of life was measured with the SF-36 questionnaire and usual physical activity was assessed with the International Physical Activity Questionnaire (IPAQ-short). Handgrip strength, the timed up and go (TUG) and chair stand test (CST) were used as functional tests. RESULTS: Compared to older people, adults had better physical functional tests (P < 0.01). Older people had better scores in the mental health component (MHC) of quality of life (p < 0.05). In adults, the physical health component of quality of life (CSF) had a positive association with physical activity (Spearman Rho (rs)= 0.270; p = 0.01), grip strength (rs = 0.330; p < 0.01) and the TUG (rs = -0.229; p < 0.01). In older patients, CSM and CST were positively correlated (rs = 0.201; P = 0.029). In both groups, a correlation was observed between CSM, grip strength (adults rs = 0.283; p < 0.01; older people rs = 0.211; P = 0.02) and with TUG (adults rs = -0.197; P = 0.021; older people rs = - 0.212; p = 0.02). CONCLUSIONS: There is a positive correlation between quality of life and level of physical activity in working adults, which is not observed in older people. Adequate performance in physical functional tests is positively correlated with better quality of life (CSF and CSM) in adults and only with the mental health component in older people.

High-intensity interval training reduces the induction of neutrophil extracellular traps in older men using live-neutrophil imaging as biosensor.

Neutrophil extracellular trap formation (NETosis) is a mechanism used by neutrophils to capture pathogens with their own DNA. However, the exacerbation of this immune response is related to serious inflammatory diseases. Aging is known to lead to an excessive increase in NETosis associated with various diseases. Under this scenario, the search for strategies that regulate the release of NETosis in older people becomes relevant. High-intensity interval training (HIIT) involves repeated bouts of relatively intense exercise with alternating short recovery periods. This training has shown beneficial effects on health parameters during aging and disease. However, little is known about the potential role of HIIT in the regulation of NETosis in healthy older people. The aim of this study was to evaluate the induction of NETosis by serum from healthy young and older men, before and after 12 weeks of HIIT using healthy neutrophils as a biosensor. HIIT was performed 3 times per week for 12 weeks in young (YOUNG; 21 ± 1 years, BMI 26.01 ± 2.64 kg⋅m-2, n = 10) and older men (OLDER; 66 ± 5 years, BMI 27.43 ± 3.11 kg⋅m-2, n = 10). Serum samples were taken before and after the HIIT program and NETosis was measured with live cell imaging in donated neutrophils cultured with serum from the participants for 30 h. Our results showed that serum from older men at baseline induced greater baseline NETosis than younger men (p < 0.05; effect size, ≥0.8), and 12 weeks of HIIT significantly reduced (Interaction Effect, p < 0.05; effect size, 0.134) the induction of NETosis in older men. In conclusion, HIIT is a feasible non-invasive training strategy modulating NETosis induction. Additionally, the use of neutrophils as a biosensor is an effective method for the quantification of NETosis induction in real time.

Characterization of muscle mass, strength and mobility of critically ill patients with SARS-CoV-2 pneumonia: Distribution by sex, age, days on mechanical ventilation, and muscle weakness.

Objective: Quantify and categorize by sex, age, and time spent on mechanical ventilation (MV), the decline in skeletal muscle mass, strength and mobility in critically ill patients infected with SARS-CoV-2 and requiring mechanical ventilation while at intensive care unit (ICU). Design: Prospective observational study including participants recruited between June 2020 and February 2021 at Hospital Clínico Herminda Martin (HCHM), Chillán, Chile. The thickness of the quadriceps muscle was evaluated by ultrasonography (US) at intensive care unit admission and awakening. Muscle strength and mobility were assessed, respectively, through the Medical Research Council Sum Score (MRC-SS) and the Functional Status Score for the Intensive Care Unit Scale (FSS-ICU) both at awakening and at ICU discharge. Results were categorized by sex (female or male), age (<60 years old or ≥60 years old) and time spent on MV (≤10 days or >10 days). Setting: Intensive care unit in a public hospital. Participants: 132 participants aged 18 years old or above (women n = 49, 60 ± 13 years; men n = 85, 59 ± 12 years) admitted to intensive care unit with a confirmed diagnosis of severe SARS-CoV-2 and requiring MV for more than 48 h were included in the study. Patients with previous physical and or cognitive disorders were excluded. Interventions: Not applicable. Results: Muscle thickness have significantly decreased during intensive care unit stay, vastus intermedius (-11%; p = 0.025), rectus femoris (-20%; p < 0.001) and total quadriceps (-16%; p < 0.001). Muscle strength and mobility were improved at intensive care unit discharge when compared with measurements at awakening in intensive care unit (time effect, p < 0.001). Patients ≥60 years old or on MV for >10 days presented greater muscle loss, alongside with lower muscle strength and mobility. Conclusion: Critically ill patients infected with SARS-CoV-2 and requiring MV presented decreased muscle mass, strength, and mobility during their intensive care unit stay. Factors associated with muscle mass, such as age >60 years and >10 days of MV, exacerbated the critical condition and impaired recovery.

Effects of high-intensity interval training on lean mass, strength, and power of the lower limbs in healthy old and young people.

Introduction: Whether high-intensity interval training (HIIT) can improve lean mass, strength, and power of the lower limbs in young and older people is still under discussion. This study aimed to determine the effect of HIIT on lean mass, maximal strength, rate of force development (RFD), and muscle power of both lower limbs in healthy young and older adults. Secondarily, to compare the effects of HIIT between dominant vs. non-dominant lower limbs of each group. Materials and methods: Healthy older (n = 9; 66 ± 6 years; BMI 27.1 ± 3.1 kg m-2) and young (n = 9; 21 ± 1 years; BMI 26.2 ± 2.8 kg m-2) men underwent 12 weeks of HIIT (3x/week) on a stationary bicycle. The evaluations were made before and after the HIIT program by dual energy X-ray absorptiometry (DEXA), anthropometry, force transducer and, Sit-to-Stand test. The outcomes analyzed were limb lean mass, thigh circumference, maximal voluntary isometric strength, RFD (Time intervals: 0-50, 50-100, 100-200, and 0-200 ms), and muscle power in both lower limbs. Results: After 12 weeks of HIIT, non-dominant limb (NDL) showed increase in limb lean mass (p < 0.05) but without interaction (time*group). HIIT showed a gain in absolute maximal strength and also when adjusted for thigh circumference in the dominant lower limb (DL) in both groups. The RFD0-200 ms showed differences between groups but without interaction. The RFD0-50 ms of the NDL showed post-training improvements (p < 0.05) in both groups. Only the older group showed differences between DL vs. NDL in most of the RFD obtained post-intervention. In addition, post-HIIT muscle power gain was observed in both groups (p < 0.05), but mainly in older adults. Conclusion: HIIT promotes increases in lean mass, maximal strength, early RFD, and lower limb muscle power in healthy older and young individuals. The differences shown between the DL and the NDL must be analyzed in future studies.

High-intensity interval training on body composition, functional capacity and biochemical markers in healthy young versus older people.

BACKGROUND: The aim of the following study was to identify the effects of a 12-week high-intensity interval training (HIIT) program on the modification of parameters of body composition, functional capacity as well as lipid and glucose homeostasis markers in healthy young people versus older adults. DESIGN: Experimental trial. METHODS: Healthy young (YNG, 21 ± 1 years, BMI 26.01 ± 2.64 kg·m-2, n = 10) and older (OLD, 66 ± 5 years, BMI 27.43 ± 3.11 kg·m-2, n = 10) males were subjected to 12 weeks of HIIT. Prior to and immediately after the HIIT program, dual-energy X-ray absorptiometry, dominant leg strength one-repetition maximum (1-RM), maximal oxygen uptake (VO2max) and physical performance tests were performed. Blood samples were also taken. RESULTS: Flexibility (P = 0.000), static balance (P = 0.004), timed up and go test (TUG) (P = 0.015), short physical performance battery (SPPB) (P = 0.005), dominant leg strength 1-RM (P = 0.012), and VO2max (P = 0.000) were better in YNG versus OLD. HIIT improved the % whole-body fat mass (P = 0.031), leg lean mass (P = 0.047), dominant leg strength 1-RM (P = 0.025), VO2max (P = 0.000), fasting cholesterol (P = 0.017) and fasting glucose (P = 0.006). TUG was improved by the training only in the OLD group (P = 0.016), but insulin (P = 0.002) and the homeostasis model assessment - insulin sensitivity (HOMA-IS) (P = 0.000) decreased only in the YNG group. HOMA-IS was correlated positive with BMI (R = 0.474, P = 0.035) and with whole-body fat mass (R = 0.517, P = 0.019). CONCLUSIONS: HIIT for 12 weeks improves parameters of body composition, functional capacity and fasting serum lipid and glucose homeostasis markers in healthy young and older participants. Young people are shown as benefiting more.

Correlación entre la Velocidad de Marcha y Largo del Paso en Personas Mayores de la Cuarta Edad que Viven en la Comunidad / Correlation between Walking Speed and Step Length in Seniors Living in the Community

Introducción. La población de personas mayores de la cuarta edad (≥80 años) crece a gran velocidad. Esta se diferencia de la tercera edad en cuanto a su funcionalidad. Es sabido que mientras menor sea la velocidad de la marcha en esta población, mayor es el riesgo de deterioro cognitivo, sarcopenia, discapacidad e institucionalización. La velocidad de marcha disminuida es un predictor importante de deterioro en el rendimiento físico. Objetivo. Determinar la correlación entre la velocidad de marcha, fuerza de miembros inferiores y largo del paso en personas mayores de cuarta edad que viven en la comunidad. Métodos. Estudio transversal en personas mayores saludables de la cuarta edad (n=14; 8 mujeres; 88 ± 3 años; 26,3 ± 3,4 kg·m-2) que fueron sometidas a evaluaciones de rendimiento físico, tales como largo del paso; fuerza de miembros inferiores a través de 1 Repetición Máxima (1RM) de extensión de rodilla en ambos miembros inferiores y velocidad de marcha en 4 metros. Los datos se presentan como media±desviación estándar. Se consideró un valor de P significativo < 0.05. Resultados. Se observó una correlación positiva moderada entre el largo del paso y la velocidad de marcha (R=0,794; P=0,001). No existieron correlaciones entre la fuerza de miembros inferiores y largo del paso (R=0,478; P=0,084), tampoco entre las variables de fuerza y velocidad de marcha (R=0,441; P=0.115). Conclusión. Las personas mayores de cuarta edad presentan una correlación positiva entre su velocidad de marcha y largo del paso.

Background. The population of people older than the fourth age (≥80 years) is growing rapidly. This differs from the third age in terms of its functionality. It is known that the lower the gait speed in this population, the greater the risk of cognitive impairment, sarcopenia, disability and institutionalization. Decreased gait speed is an important predictor of deterioration in physical performance. Objetive. To determine the correlation between gait speed, lower limb strength and stride length in fourth age people (≥80 years) who live in the community. Methods. Cross-sectional study in healthy older people of the fourth age (n=14; 8 women; 88 ± 3 years; 26.3 ± 3.4 kg·m-2) who underwent physical performance evaluations, such as long of the step; strength of lower limbs through 1 Maximum Repetition (1RM) of knee extension in both lower limbs and walking speed in 4 meters. Data are presented as mean ± standard deviation. A significant P value < 0.05 was considered. Results. A moderate positive correlation was observed between stride length and gait speed (R=0.794; P=0.001). There were no correlations between the strength of the lower limbs and stride length (R=0.478; P=0.084), nor between the variables of strength and gait speed (R=0.441; P=0.115). Conclusion. Fourth age older people older present a positive correlation between their walking speed and stride length.

Calidad de vida, nivel de actividad física y pruebas funcionales en personas adultas y mayores laboralmente activas / Quality of life, level of physical activity and functional tests in actively working adults and older people

BACKGROUND: The population of actively working older people is growing rapidly. The relationship between quality of life, levels of physical activity and functionality in this population is not entirely clear. AIM: To determine the association between quality of life, levels of physical activity and functional tests in actively working adults and older people. MATERIAL AND METHODS: Cross sectional assessment of 138 adults aged 40 to 50 years (53% women) and 119 older people aged 60 to 75 years (53% women) who were actively working in two public services. Quality of life was measured with the SF-36 questionnaire and usual physical activity was assessed with the International Physical Activity Questionnaire (IPAQ-short). Handgrip strength, the timed up and go (TUG) and chair stand test (CST) were used as functional tests. RESULTS: Compared to older people, adults had better physical functional tests (P < 0.01). Older people had better scores in the mental health component (MHC) of quality of life (p < 0.05). In adults, the physical health component of quality of life (CSF) had a positive association with physical activity (Spearman Rho (rs)= 0.270; p = 0.01), grip strength (rs = 0.330; p < 0.01) and the TUG (rs = −0.229; p < 0.01). In older patients, CSM and CST were positively correlated (rs = 0.201; P = 0.029). In both groups, a correlation was observed between CSM, grip strength (adults rs = 0.283; p < 0.01; older people rs = 0.211; P = 0.02) and with TUG (adults rs = −0.197; P = 0.021; older people rs = - 0.212; p = 0.02). CONCLUSIONS: There is a positive correlation between quality of life and level of physical activity in working adults, which is not observed in older people. Adequate performance in physical functional tests is positively correlated with better quality of life (CSF and CSM) in adults and only with the mental health component in older people.

Anthropometric parameters, lower limb functionality and quality of life after high-intensity interval training in healthy young people versus older adults / Parámetros antropométricos, funcionalidad de miembros inferiores y calidad de vida posterior al entrenamiento interválico de alta intensidad en jóvenes versus personas mayores

SUMMARY: The aim of this study was to determine the effects of High-intensity interval training (HIIT) on the quality of life in healthy young people (YNG) and older adults (OLD)and its correlation with physical health status (anthropometric parameters and lower limb functionality) YNG (21 ? 2 years, BMI 26.37 ? 2.69 n = 12) and OLD (67 ? 5 years, BMI 27.16 ? 3.04 n = 12) groups underwent 12weeks of HIIT. Before and after the HIIT, anthropometric assessments, lower limb functionality tests, and SF-36 quality-of-life questionnaire were performed. There were no significant changes in the SF-36 dimensions (P>0.05). After HIIT, there were improvement percentage changes in Mental Component Summary (MCS) (YNG, +8.51 ? 25.80 % vs. OLD, +2.30 ? 9.05 %) and in Physical Component Summary (PCS) (YNG, +2.66 ? 20.54 % vs. OLD, +4.34 ? 22.71 %). Negative correlations were observed between body mass index (BMI) with PCS (R=-0.570, P=0.009) and with MCS (R=-0.649, P=0.002) in OLD as well as between MCS and waist circumference (R=-0.557, P?0.001) in both groups. Also, correlations were observed between PCS and the sit-to-stand test (R=-0.424, P=0.006) in both groups and gait speed (R=0.458, P=0.042) only in YNG. HIIT promotes positive percentage changes in quality of life, with YNG showing better results in PCS and OLD in MCS. Quality of life and physical health status were correlated in both groups.

RESUMEN: Determinar los efectos del entrenamiento interválico de alta intensidad (HIIT) sobre la calidad de vida en jóvenes sanos (YNG) y personas mayores (OLD) y su correlación con el estado de salud física (parámetros antropométricos y funcionalidad de miembros inferiores). Ambos grupos, YNG (21 ? 2 años, IMC 26,37 ? 2,69 n = 12) y OLD (67 ? 5 años, IMC 27,16 ? 3,04 n = 12) realizaron 12 semanas de HIIT. Antes y después del HIIT, se realizaron evaluaciones antropométricas, pruebas de funcionalidad de miembros inferiores y cuestionario de calidad de vida SF-36. No hubo cambios significativos en las dimensiones del SF-36 (P >0,05). Después del HIIT, hubo cambios porcentuales de mejora en el componente sumario mental (MCS) (YNG, +8.51 ? 25.80 % vs. OLD, +2.30 ? 9.05 %) y el componente sumario física (PCS) (YNG, +2,66 ? 20,54 % vs. OLD, +2,30 ? 9,05 %), correspondientes a la calidad de vida. Se observaron correlaciones negativas entre el índice de masa corporal (IMC) con PCS (R=-0,570; P=0,009) y con MCS (R=0,649; P=0,002) en OLD, así como entre MCS y circunferencia de cintura (R = - 0,557, P?0,001) en ambos grupos. Además, se observaron correlaciones entre PCS y la prueba de sentarse y levantarse (R = -0,424; P = 0,006) en ambos grupos y la velocidad de la marcha (R = 0,458; P = 0,042) solo en YNG. HIIT promueve cambios porcentuales positivos en la calidad de vida, con YNG mostrando mejores resultados en PCS y OLD en MCS. La calidad de vida y el estado de salud física se correlacionaron en ambos grupos.