Associations of real-life mobility with measures of physical, cognitive as well as psychosocial functioning in community-dwelling older adults

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Associations of real-life mobility with measures of physical, cognitive as well as psychosocial functioning in community-dwelling older adults. / Giannouli, Eleftheria; Bock, Otmar Leo; Zijlstra, Wiebren.

Oral session & poster abstracts: ICAMPAM 2017. National Institutes of Health (NIH), 2017. S. 13-14.

Publikationen: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitrag - Abstract in KonferenzbandForschungBegutachtung

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Giannouli, E, Bock, OL & Zijlstra, W 2017, Associations of real-life mobility with measures of physical, cognitive as well as psychosocial functioning in community-dwelling older adults. in Oral session & poster abstracts: ICAMPAM 2017. National Institutes of Health (NIH), S. 13-14, International Conference on Ambulatory Monitoring of Physical Activity and Movement, Bethesa, Maryland , USA / Vereinigte Staaten, 21.06.17.

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Bibtex

@inbook{16b5eee15bb045ef8607842f3a305ecf,
title = "Associations of real-life mobility with measures of physical, cognitive as well as psychosocial functioning in community-dwelling older adults",
abstract = "Studies have shown that limited mobility is associated with morbidity, increased fall risk, loss ofindependence, institutionalization, and increased mortality. To support older people in maintainingindependent mobility, it is important to have knowledge of factors that impact on mobility. Althoughliterature demonstrates the multi-dimensionality of mobility, most studies of mobility in older people donot take this into account. This study aims to have a more comprehensive approach to mobility in olderpeople by analyzing the association of life-space and physical activity in daily life with hypothesizedmobility determinants. Data were obtained in a sample of over 100 older community dwelling adults. Life-space mobility and physical activity were assessed based on measurements by smartphone duringone week. Life-space variables (life-space, action range and total distance) were calculated from GPSdata, and physical activity variables (active and gait time and number of steps) were calculated frominertial sensors in the smartphone. Physical functioning was assessed based on measures of cardiofitness, leg and handgrip strength, balance and gait function; cognitive functioning was assessed basedon measures of attention and executive function; in addition psychological (loneliness, perceived ageismand self-efficacy measures) and social determinants (sociableness, perceived help availability and socialnetworks) were assessed. Our results show differential associations between life space, physical activityand the hypothesized mobility determinants which may contribute to a better understanding of mobilitylimitations and challenges in designing appropriate interventions to enhance mobility in older persons. ",
author = "Eleftheria Giannouli and Bock, {Otmar Leo} and Wiebren Zijlstra",
year = "2017",
language = "Deutsch",
pages = "13--14",
booktitle = "Oral session & poster abstracts",
publisher = "National Institutes of Health (NIH)",
note = "International Conference on Ambulatory Monitoring of Physical Activity and Movement ; Conference date: 21-06-2017 Through 23-06-2017",

}

RIS

TY - CHAP

T1 - Associations of real-life mobility with measures of physical, cognitive as well as psychosocial functioning in community-dwelling older adults

AU - Giannouli, Eleftheria

AU - Bock, Otmar Leo

AU - Zijlstra, Wiebren

N1 - Conference code: 5

PY - 2017

Y1 - 2017

N2 - Studies have shown that limited mobility is associated with morbidity, increased fall risk, loss ofindependence, institutionalization, and increased mortality. To support older people in maintainingindependent mobility, it is important to have knowledge of factors that impact on mobility. Althoughliterature demonstrates the multi-dimensionality of mobility, most studies of mobility in older people donot take this into account. This study aims to have a more comprehensive approach to mobility in olderpeople by analyzing the association of life-space and physical activity in daily life with hypothesizedmobility determinants. Data were obtained in a sample of over 100 older community dwelling adults. Life-space mobility and physical activity were assessed based on measurements by smartphone duringone week. Life-space variables (life-space, action range and total distance) were calculated from GPSdata, and physical activity variables (active and gait time and number of steps) were calculated frominertial sensors in the smartphone. Physical functioning was assessed based on measures of cardiofitness, leg and handgrip strength, balance and gait function; cognitive functioning was assessed basedon measures of attention and executive function; in addition psychological (loneliness, perceived ageismand self-efficacy measures) and social determinants (sociableness, perceived help availability and socialnetworks) were assessed. Our results show differential associations between life space, physical activityand the hypothesized mobility determinants which may contribute to a better understanding of mobilitylimitations and challenges in designing appropriate interventions to enhance mobility in older persons.

AB - Studies have shown that limited mobility is associated with morbidity, increased fall risk, loss ofindependence, institutionalization, and increased mortality. To support older people in maintainingindependent mobility, it is important to have knowledge of factors that impact on mobility. Althoughliterature demonstrates the multi-dimensionality of mobility, most studies of mobility in older people donot take this into account. This study aims to have a more comprehensive approach to mobility in olderpeople by analyzing the association of life-space and physical activity in daily life with hypothesizedmobility determinants. Data were obtained in a sample of over 100 older community dwelling adults. Life-space mobility and physical activity were assessed based on measurements by smartphone duringone week. Life-space variables (life-space, action range and total distance) were calculated from GPSdata, and physical activity variables (active and gait time and number of steps) were calculated frominertial sensors in the smartphone. Physical functioning was assessed based on measures of cardiofitness, leg and handgrip strength, balance and gait function; cognitive functioning was assessed basedon measures of attention and executive function; in addition psychological (loneliness, perceived ageismand self-efficacy measures) and social determinants (sociableness, perceived help availability and socialnetworks) were assessed. Our results show differential associations between life space, physical activityand the hypothesized mobility determinants which may contribute to a better understanding of mobilitylimitations and challenges in designing appropriate interventions to enhance mobility in older persons.

M3 - Konferenzbeitrag - Abstract in Konferenzband

SP - 13

EP - 14

BT - Oral session & poster abstracts

PB - National Institutes of Health (NIH)

T2 - International Conference on Ambulatory Monitoring of Physical Activity and Movement

Y2 - 21 June 2017 through 23 June 2017

ER -

ID: 3286432