Giulio Valenti1, Alberto Giovanni Bonomi, Klaas Roelof Westerterp. 1. 1Department of Human Biology, Maastricht University, Maastricht, THE NETHERLANDS; and 2Personal Health Solutions, Philips Research Laboratories, Eindhoven, THE NETHERLANDS.
Abstract
BACKGROUND:Walking economy declines with increasing age, possibly leading to mobility limitation in older adults. Multicomponent fitness training could delay the decline in walking economy. PURPOSE: This study aimed to determine the effect of multicomponent fitness training on walking economy in older adults. METHODS:Participants were untrained adults, age 50 to 83 yr (N = 26, 10 males, age = 63 ± 6 yr, BMI = 25.6 ± 2.1 kg·m, mean ± SD). A control group was also recruited (N = 16, 9 males, age = 66 ± 10 yr, BMI = 25.4 ± 3.0 kg·m), matching the intervention group for age, weight, body composition, and fitness. The intervention group followed a multicomponent fitness program of 1 h, twice per week during 1 yr. The control group did not take part in any physical training. Fat-free mass, walking economy, and maximal oxygen uptake (V˙O2max) were measured in both groups before and after the year. Walking economy was measured with indirect calorimetry as the lowest energy needed to displace 1 kg of body mass for 1 m while walking on a treadmill. The data were compared between the two groups with repeated-measures ANOVA. RESULTS: Thirty-two subjects completed all measurements. There was an interaction between the effects of time and group on V˙O2max (P < 0.05) and walking economy (P < 0.05), whereas fat-free mass did not change significantly (P = 0.06). V˙O2max decreased by 1.8 mL·kg·min in the control group and increased by 1.3 mL·kg·min in the intervention group. The lowest energy needed to walk increased by 0.12 J·kg·m in the control group and decreased in the intervention group by 0.13 J·kg·m. CONCLUSION:Multicomponent fitness training decreases walking cost in older adults, preserving walking economy. Thus, training programs could delay mobility limitation with increasing age.
RCT Entities:
BACKGROUND: Walking economy declines with increasing age, possibly leading to mobility limitation in older adults. Multicomponent fitness training could delay the decline in walking economy. PURPOSE: This study aimed to determine the effect of multicomponent fitness training on walking economy in older adults. METHODS:Participants were untrained adults, age 50 to 83 yr (N = 26, 10 males, age = 63 ± 6 yr, BMI = 25.6 ± 2.1 kg·m, mean ± SD). A control group was also recruited (N = 16, 9 males, age = 66 ± 10 yr, BMI = 25.4 ± 3.0 kg·m), matching the intervention group for age, weight, body composition, and fitness. The intervention group followed a multicomponent fitness program of 1 h, twice per week during 1 yr. The control group did not take part in any physical training. Fat-free mass, walking economy, and maximal oxygen uptake (V˙O2max) were measured in both groups before and after the year. Walking economy was measured with indirect calorimetry as the lowest energy needed to displace 1 kg of body mass for 1 m while walking on a treadmill. The data were compared between the two groups with repeated-measures ANOVA. RESULTS: Thirty-two subjects completed all measurements. There was an interaction between the effects of time and group on V˙O2max (P < 0.05) and walking economy (P < 0.05), whereas fat-free mass did not change significantly (P = 0.06). V˙O2max decreased by 1.8 mL·kg·min in the control group and increased by 1.3 mL·kg·min in the intervention group. The lowest energy needed to walk increased by 0.12 J·kg·m in the control group and decreased in the intervention group by 0.13 J·kg·m. CONCLUSION: Multicomponent fitness training decreases walking cost in older adults, preserving walking economy. Thus, training programs could delay mobility limitation with increasing age.
Authors: David M Presby; Matthew R Jackman; Michael C Rudolph; Vanessa D Sherk; Rebecca M Foright; Julie A Houck; Ginger C Johnson; David J Orlicky; Edward L Melanson; Janine A Higgins; Paul S MacLean Journal: Am J Physiol Endocrinol Metab Date: 2019-03-26 Impact factor: 4.310
Authors: Harshvardhan Singh; Stephen J Carter; Shannon L Mathis; David R Bryan; David M Koceja; John P McCarthy; Gary R Hunter Journal: Front Physiol Date: 2019-11-28 Impact factor: 4.566
Authors: Andressa Crystine da Silva Sobrinho; Mariana Luciano de Almeida; Guilherme da Silva Rodrigues; Rodrigo Fenner Bertani; Joao Gabriel Ribeiro Lima; Carlos Roberto Bueno Junior Journal: Int J Environ Res Public Health Date: 2021-12-21 Impact factor: 3.390