Samuel Gonçalves Almeida da Encarnação1,2,3, Sthefany Lemos Fazolo1, Felipe Soares Tomaz Pereira1, Daniele Pereira da Silva Araújo1, Cíntia Neves de Miranda1, Beatriz Woyames Ferreira de Castro Pinto1, Pedro Forte2,4,5,6, José Eduardo Teixeira2,5,7, Tiago M. Barbosa2,5, António Miguel Monteiro2,5

1Department of Physical Education, Universidade Federal de Viçosa (UFV), 36570-900 Viçosa, Brazil
2Department of Sports Sciences, Instituto Politécnico de Bragança (IPB), 5300-253 Bragança Portugal
3Department of Physical Education, Sport and Human Movement, Universidad Autónoma de Madrid (UAM), 28670 Madrid, Spain
4Instituto Superior de Ciências Educativas do Douro (ISCE Douro), 4560-708 Penafiel, Portugal
5Research Center in Sports, Health and Human Development (CIDESD), 6201-001 Covilhã, Portugal
6ISCE Research Center (CI-ISCE Douro), 4560-708 Penafiel, Portugal
7Department of Sport Sciences, Instituto Politécnico da Guarda (IPG), 6300-559 Guarda, Portugal

Influence of multicomponent exercise program or self-selected physical activity on physical, mental, and biochemical health indicators of older women

Monten. J. Sports Sci. Med. 2023, 12(1), 17-27

Abstract

The aim of this study was to compare physical, mental, and biochemical health indicators of 48 older women (67 ± 1 year) who practiced multicomponent exercise program (ME, n = 25) and self-selected physical activity (PA, n = 23) for 6 months. It was an observational study, which aimed to relate a prospective intervention. Displacement speed, lower limb (LL) power, functional capacity, body composition, biochemical profile, physical activity levels (PAL), sedentary behavior (SB), quality of life (QoL), and mental illness risk (MIR) were evaluated. ME presented better values compared to the PA in the gait speed (p = 0.001, large ES), aerobic capacity (p = 0.0001, large ES), agility/dynamic balance (p = 0.0001, large ES), LL flexibility (p = 0.0003, large ES), UL flexibility (p = 0.04, large ES), upper limb (UL) strength (p = 0.07, moderate ES), Total cholesterol (p = 0.009, large ES), triglycerides (p = 0.003, large ES), creatinine (p = 0.007, large ES), glycated hemoglobin (p= 0.007, large ES), and lower mean glucose value (p = 0.008, large ES). ME was more efficient than PA to improve indicators of gait speed, and functional capacity, regulate glycated hemoglobin, blood glucose, and serum creatinine. Thys study also brings practical applications for coaches, which could adapt and use creativity to develop different types of systematized ME, aiming to enhance positive adaptations in the older people at multilevel outcomes.

Keywords

Physical exercise, Psychophysiological factors, Aging, Quality of Life



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