scholarly journals Effects of different strength training frequencies on maximum strength, body composition and functional capacity in healthy older individuals

2017 ◽  
Vol 98 ◽  
pp. 13-21 ◽  
Author(s):  
Mari Turpela ◽  
Keijo Häkkinen ◽  
Guy Gregory Haff ◽  
Simon Walker
2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Osvaldo Costa Moreira ◽  
Claudia Eliza Patrocínio de Oliveira ◽  
Sergio Maroto-Izquierdo ◽  
María José Cuevas ◽  
José Antonio De Paz

To examine the effects of short-term strength training (STST) on different manifestations of muscle strength in the lower limbs, functional capacity and body composition of people 65 years old or older. We searched the electronic databases (PubMed, Web of Science and Cochrane) to identify all publications using STST (up to 12 weeks) in people aged 65 or older, published in the last five years, prior to May 2018. Results were analyzed as continuous data using random effects to calculate the standardized mean difference (SMD) and the 95% confidence interval (95%CI). 28 studies with 921 subjects met the inclusion criteria and were analyzed. These works were grouped into three categories for analysis: Muscular Strength, Functional Capacity and Body Composition. In Muscular Strength category, the overall pooled effect estimate was 0.95 (95%CI: 0.63; 1.26), with a significant STST effect (Z= 5.93; p<0.001), over the different strength manifestations analyzed. In Functional Capacity category, the STST decreased the Time Up-and-Go test run time (SMD: -1.01; 95%CI: -1.56; -0.47) and increased the repetitions’ number performed in 30-s chair-stand test (SMD: 1.07, 95% CI: 0.79, 1.34). In Body Composition category, the overall pooled effect estimate was 0.13 (95%CI: -0.16; 0.42), without finding a significant effect of STST (Z= 0.87; p= 0.38). STST has a moderate to large effect in improving the different manifestations of muscle strength and functional capacity. However, this type of intervention has no effect on body composition.


Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1070 ◽  
Author(s):  
Melyn Galbreath ◽  
Bill Campbell ◽  
Paul La Bounty ◽  
Jennifer Bunn ◽  
Jacqueline Dove ◽  
...  

Resistance training and maintenance of a higher protein diet have been recommended to help older individuals maintain muscle mass. This study examined whether adherence to a higher protein diet while participating in a resistance-based exercise program promoted more favorable changes in body composition, markers of health, and/or functional capacity in older females in comparison to following a traditional higher carbohydrate diet or exercise training alone with no diet intervention. In total, 54 overweight and obese females (65.9 ± 4.7 years; 78.7 ± 11 kg, 30.5 ± 4.1 kg/m2, 43.5 ± 3.6% fat) were randomly assigned to an exercise-only group (E), an exercise plus hypo-energetic higher carbohydrate (HC) diet, or a higher protein diet (HP) diet. Participants followed their respective diet plans and performed a supervised 30-min circuit-style resistance exercise program 3 d/wk. Participants were tested at 0, 10, and 14 weeks. Data were analyzed using univariate, multivariate, and repeated measures general linear model (GLM) statistics as well as one-way analysis of variance (ANOVA) of changes from baseline with [95% confidence intervals]. Results revealed that after 14 weeks, participants in the HP group experienced significantly greater reductions in weight (E −1.3 ± 2.3, [−2.4, −0.2]; HC −3.0 ± 3.1 [−4.5, −1.5]; HP −4.8 ± 3.2, [−6.4, −3.1]%, p = 0.003), fat mass (E −2.7 ± 3.8, [−4.6, −0.9]; HC −5.9 ± 4.2 [−8.0, −3.9]; HP −10.2 ± 5.8 [−13.2, –7.2%], p < 0.001), and body fat percentage (E −2.0 ± 3.5 [−3.7, −0.3]; HC −4.3 ± 3.2 [−5.9, −2.8]; HP −6.3 ± 3.5 [−8.1, −4.5] %, p = 0.002) with no significant reductions in fat-free mass or resting energy expenditure over time or among groups. Significant differences were observed in leptin (E −1.8 ± 34 [−18, 14]; HC 43.8 ± 55 [CI 16, 71]; HP −26.5 ± 70 [−63, −9.6] ng/mL, p = 0.001) and adiponectin (E 43.1 ± 76.2 [6.3, 79.8]; HC −27.9 ± 33.4 [−44.5, −11.3]; HP 52.3 ± 79 [11.9, 92.8] µg/mL, p = 0.001). All groups experienced significant improvements in muscular strength, muscular endurance, aerobic capacity, markers of balance and functional capacity, and several markers of health. These findings indicate that a higher protein diet while participating in a resistance-based exercise program promoted more favorable changes in body composition compared to a higher carbohydrate diet in older females.


2020 ◽  
Author(s):  
Eleni Kontou ◽  
Constantinos Papadopoulos ◽  
Giorgos Papadimas ◽  
Argyris Toubekis ◽  
Gregory Bogdanis ◽  
...  

2004 ◽  
Vol 14 (4) ◽  
pp. 248-252 ◽  
Author(s):  
Jamie H. Macdonald ◽  
Mysore K. Phanish ◽  
Samuele M. Marcora ◽  
Mahdi Jibani ◽  
Lionel L.O. Bloodworth ◽  
...  

2018 ◽  
Vol 52 ◽  
pp. 74 ◽  
Author(s):  
Jack Roberto Silva Fhon ◽  
Rosalina Aparecida Partezani Rodrigues ◽  
Jair Lício Ferreira Santos ◽  
Marina Aleixo Diniz ◽  
Emanuella Barros dos Santos ◽  
...  

OBJECTIVE: To determine the demographic and health factors related to the frailty syndrome in older adults. METHODS: This is a longitudinal quantitative study carried out with 262 older adults aged 65 years and older, of both sexes, living at home. Data collection was carried out in Period 1 between October 2007 and February 2008, and in Period 2 between July and December 2013. For data collection, we used the sociodemographic profile instrument, the Edmonton Frail Scale, the Mini-Mental State Examination, the number of falls in the last 12 months, the number of self-reported diseases and used drugs, the Functional Independence Measure, and the Lawton and Brody Scale. We used descriptive statistics for data analysis, in the comparison of the means between periods, the nonparametric Wilcoxon test, and the method of Generalized Estimating Equations, which is considered an extension of the Generalized Linear Models with p ≤ 0.05. RESULTS: Of the 515 participants, 262 completed the follow-up, with a predominance of females, older individuals, and those who had no partner; there was an increase in frail older adults. In the Generalized Estimating Equations analysis, frailty score was related to sociodemographic (increase in age, no partner, and low education level) and health variables (more diseases, drugs, falls, and decrease in functional capacity). There was an association between the variables of age (older), marital status (no partner), and loss of functional capacity. CONCLUSIONS: Frailty syndrome was associated with increasing age, having no partner, and decreased functional capacity over time, and investments are required to prevent this syndrome and promote quality in aging.


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