Associations of distinct levels of physical activity with mobility in independent healthy older women

Rava, Anni; Pihlak, Anu; Kums, Tatjana; Purge, Priit; Jürimäe, Jaak

doi:10.1016/j.exger.2018.06.005

Cited by 12 publications

(8 citation statements)

References 39 publications

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“…For example, the review by Wiener et al [22] indicates that being physically active at a high intensity has a more substantial effect on diverse capacity measures (for example, the 10MWT, Berg Balance Scale, Timed Up & GO) compared to moderate intensity. Further, more prolonged PA bouts (e.g., >10 min) have a more positive effect on PC compared to shorter bouts [23]. In the present study, in accordance with Wiener et al [22], we considered PC to be a comprehensive term represented by independent validated tests so as to obtain insight into several PC components [4].…”

Section: Introductionmentioning

confidence: 77%

Intensity of daily physical activity – a key component for improving physical capacity after minor stroke?

Braakhuis

Roelofs

Berger

et al. 2020

Disability and Rehabilitation

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Section: Introductionmentioning

confidence: 77%

Intensity of daily physical activity – a key component for improving physical capacity after minor stroke?

Braakhuis

Roelofs

Berger

et al. 2020

Disability and Rehabilitation

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“…"Gait quality" includes cadence, variability, and other aspects of walking. Studies utilizing accelerometry have primarily focused on recording physical activity, for which signal in vertical direction Step count (34, 35, 37, 39, 42-44, 46, 47, 49, 50, 57, 60-62, 65, 70, 79, 80, 87, 99) Walking bouts count (37) Mean daily activity counts (33,43,62) Transitions from high-low activity (62) Up-down transitions (41,56) Minutes (33, 34, 38, 42-44, 46, 48-50, 52, 57, 65, 69, 79, 80) METsa (40,53,57,64,85,91) Accumulation (52,55) Step and stride time (37) Smoothness (37) Complexity (44,46) Entropy (37,46) Acceleration range (37,38) Cadence (38,39,44) provides accurate and sufficient information. Potentially useful signals for gait analysis in the mediolateral and anteriorposterior [18] directions were often not analyzed.…”

Section: Accelerometermentioning

confidence: 99%

“…Finally, several studies have shown that combined measures of physical function [i.e., Short Physical Performance Battery [33,38,[50][51][52][53] and Timed Up and Go [34,35,37,42,54,55] were related to accelerometry measures of mobility, with only a single study finding no association between the Timed Up and Go and volume aspect of mobility [56] (Table 3). Self-reported physical function is also associated with MVPA [43,57].…”

Section: Individual Physical Functionmentioning

confidence: 99%

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Facilitators and barriers to real-life mobility in community-dwelling older adults: a narrative review of accelerometry- and global positioning system-based studies

et al. 2022

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Real-life mobility, also called "enacted" mobility, characterizes an individual's activity and participation in the community. Real-life mobility may be facilitated or hindered by a variety of factors, such as physical abilities, cognitive function, psychosocial aspects, and external environment characteristics. Advances in technology have allowed for objective quantification of real-life mobility using wearable sensors, specifically, accelerometry and global positioning systems (GPSs). In this review article, first, we summarize the common mobility measures extracted from accelerometry and GPS. Second, we summarize studies assessing the associations of facilitators and barriers influencing mobility of community-dwelling older adults with mobility measures from sensor technology. We found the most used accelerometry measures focus on the duration and intensity of activity in daily life. Gait quality measures, e.g., cadence, variability, and symmetry, are not usually included. GPS has been used to investigate mobility behavior, such as spatial and temporal measures of path traveled, location nodes traversed, and mode of transportation. Factors of note that facilitate/hinder community mobility were cognition and psychosocial influences. Fewer studies have included the influence of external environments, such as sidewalk quality, and socio-economic status in defining enacted mobility. Increasing our understanding of the facilitators and barriers to enacted mobility can inform wearable technology-enabled interventions targeted at delaying mobility-related disability and improving participation of older adults in the community.

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“…Interest to the question of maintaining physical activity is affirmed by the results of many studies conducted in Russia [10] and abroad [1]. It is known that elderly people spend up to 86% of their time sitting, and about 57% of elderly people cannot return to the previous level of physical activity [9].…”

mentioning

confidence: 99%

Age Peculiarities of Knee Functionality and Physical Performance in Elderly Women

Солодилов

2020

hsm

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Aim. The aim of this study is to learn the effect of the age on degenerative knee joint disease and physical capability of elderly women. Materials and methods. Three groups of relatively healthy elderly women (G1 – 60–64 years (n = 34), G2 – 65–69 years (n = 31) and G3 – 70–74 years (n = 18)) participated in the study. The functional status of the knee joint (pain, limitation of motion, physical functionality) was estimated with the help of WOMAC index. Physical performance in women was studied with the help of three functional tests. Pain in the knee joint before and after the tests was assessed with the help of the Numeric Pain Rating Scale (NPRS). Statistical data were processed with the help of Statistica 10 and IBM SPSS22. Results. Pain and stiffness in the knee joint in elderly women increased significantly with age while physical functionality decreased (p < 0.01). Correlations were established between “age/pain” – (r = 0.581), “age/stiffness” – (r = 0.565) and “age/physical functionality” – (r = 0.666) indices, p < 0.01. Authentic changes of the pain index were revealed in the knee joint during physical activity. Correlation analysis showed a clearly defined dependence between the level of physical capability in women and their age. Conclusion. The data obtained prove that the age of elderly women is one of the main factors influencing their functional capability. The age also is one of the factors influencing the progression of functional and degenerative disorders in the knee joint.

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Associations of distinct levels of physical activity with mobility in independent healthy older women

Cited by 12 publications

References 39 publications

Intensity of daily physical activity – a key component for improving physical capacity after minor stroke?

Intensity of daily physical activity – a key component for improving physical capacity after minor stroke?

Facilitators and barriers to real-life mobility in community-dwelling older adults: a narrative review of accelerometry- and global positioning system-based studies

Age Peculiarities of Knee Functionality and Physical Performance in Elderly Women

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