Change in GPS-assessed walking locations following a cluster-randomized controlled physical activity trial in older adults, results from the MIPARC trial

Crist, Katie; Jankowska, Marta M.; Schipperijn, Jasper; Rosenberg, Dori E.; Takemoto, Michelle; Zlatar, Zvinka Z.; Benmarhnia, Tarik

doi:10.1016/j.healthplace.2021.102573

Cited by 9 publications

(9 citation statements)

References 82 publications

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“…The prescribed frequency ranged from walking as one option for exercise [ 38 , 41 ] to 2- [ 20 , 39 , 50 , 56 ], 3- [ 43 , 52 , 53 , 59 ], 4- [ 49 ], 5- [ 55 , 58 ] and 7-day walking per week [ 44 ]. The frequency was not specified for five RCTs [ 17 , 40 , 46 , 47 , 61 ].…”

Section: Resultsmentioning

confidence: 99%

“…Crist et al . [ 61 ] assessed the effect of a 12-month rehabilitation intervention for a proactive population incorporating outdoor mobility on the time spent walking (as a proportion of total time) in four mutually exclusive domains—home, campus, neighbourhood and beyond neighbourhood. Baseline mean (standard deviation) total walking time in minutes/day was 83.8 (45.4) for the intervention and 72.7(48.0) for the control group [ 61 ].…”

Section: Resultsmentioning

confidence: 99%

“…[ 61 ] assessed the effect of a 12-month rehabilitation intervention for a proactive population incorporating outdoor mobility on the time spent walking (as a proportion of total time) in four mutually exclusive domains—home, campus, neighbourhood and beyond neighbourhood. Baseline mean (standard deviation) total walking time in minutes/day was 83.8 (45.4) for the intervention and 72.7(48.0) for the control group [ 61 ]. The intervention group increased daily walking from baseline to 3 months by 21.48 min/day (95% confidence interval (CI) 12.0, 31.0), while the control group saw no change in walk time (data not provided) [ 61 ].…”

Section: Resultsmentioning

confidence: 99%

“…Baseline mean (standard deviation) total walking time in minutes/day was 83.8 (45.4) for the intervention and 72.7(48.0) for the control group [ 61 ]. The intervention group increased daily walking from baseline to 3 months by 21.48 min/day (95% confidence interval (CI) 12.0, 31.0), while the control group saw no change in walk time (data not provided) [ 61 ]. The intervention increase was observed for non-home domains at 3 months (linear regression coefficient = 11.48, 95% CI: 1.7, 21.3), which was sustained over 12 months [ 61 ].…”

Section: Resultsmentioning

confidence: 99%

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The effectiveness of rehabilitation interventions including outdoor mobility on older adults’ physical activity, endurance, outdoor mobility and falls-related self-efficacy: systematic review and meta-analysis

et al. 2022

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Objective To determine the effectiveness of community-based rehabilitation interventions which incorporate outdoor mobility on physical activity, endurance, outdoor mobility and falls-related self-efficacy in older adults. Design MEDLINE, Embase, CINAHL, PEDro and OpenGrey were searched systematically from inception to June 2021 for randomised controlled trials (RCTs) of community-based rehabilitation incorporating outdoor mobility on physical activity, endurance, outdoor mobility and/or falls-related self-efficacy in older adults. Duplicate screening, selection, extraction and appraisal were completed. Results were reported descriptively and with random-effects meta-analyses stratified by population (proactive [community-dwelling], reactive [illness/injury]). Results A total of 29 RCTs with 7,076 participants were identified (66% high bias for at least one domain). The outdoor mobility component was predominantly a walking programme with behaviour change. Rehabilitation for reactive populations increased physical activity (seven RCTs, 587 participants. Hedge’s g 1.32, 95% CI: 0.31, 2.32), endurance (four RCTs, 392 participants. Hedges g 0.24; 95% CI: 0.04, 0.44) and outdoor mobility (two RCTs with 663 participants. Go out as much as wanted, likelihood of a journey) at intervention end versus usual care. Where reported, effects were preserved at follow-up. One RCT indicated a benefit of rehabilitation for proactive populations on moderate-to-vigorous activity and outdoor mobility. No effect was noted for falls-related self-efficacy, or other outcomes following rehabilitation for proactive populations. Conclusion Reactive rehabilitation for older adults may include walking programmes with behaviour change techniques. Future research should address the potential benefit of a walking programme for proactive populations and address mobility-related anxiety as a barrier to outdoor mobility for both proactive and reactive populations.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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The effectiveness of rehabilitation interventions including outdoor mobility on older adults’ physical activity, endurance, outdoor mobility and falls-related self-efficacy: systematic review and meta-analysis

et al. 2022

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“…GPS is a popular technology incorporated in most smartphone devices. Validation of spatial measures that can be derived from GPS and their relation to factors influencing enacted mobility have potential to alter intervention strategies to enhance participation of older adults in the community [83].…”

Section: Gaps and Future Directions Of Gps-based Enacted Mobility Ass...mentioning

confidence: 99%

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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What importance does outpatient care have for mobility in rural areas? Results from a GPS study among persons aged 75 and older

Haeger,

Mümken,

Spang

et al. 2024

Bundesgesundheitsbl

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Zusammenfassung Hintergrund Außerhäusliche Mobilität, definiert als aktives und passives Bewegen durch außerhäusliche Umwelten, ist eine Ressource für Autonomie, Lebensqualität und Selbstverwirklichung im Alter. Beeinflusst wird diese multifaktoriell, was bisher vor allem im urbanen Raum untersucht wurde. Ziel der Studie ist es, assoziierte Faktoren in einer ländlichen Studienpopulation ab 75 Jahren zu untersuchen. Methoden Baseline-Daten der MOBILE-Studie von 212 Personen ab 75 Jahren erhoben zwischen Juni 2021 und Oktober 2022 gingen in die Analysen ein. Außerhäusliche Mobilität (GPS-basiert an 7 aufeinanderfolgenden Tagen) wurde zeitlich als Time out of Home (TOH) sowie räumlich als Convex Hull (CHull) gemessen. Gemischte Modelle berücksichtigten neben ambulanten Versorgungsparametern persönliche, soziale und umweltbezogene Faktoren sowie Kovariaten wie Alter und Geschlecht. Ergebnisse Die Teilnehmenden der MOBILE-Studie (MAlter 81,5, SD: 4,1, davon 56,1 % weiblich) zeigten eine tägliche außerhäusliche Mobilität von MTOH: 319,3 min; SD: 196,3 und MCHull: 41,3; SD: 132,8. Signifikante Assoziationen wurden für Alter (TOH: ß = −0,039; p < 0,001), soziales Netzwerk (TOH: ß = 0,123; p < 0,001), Zusammenleben (CHull: ß = 0,689; p = 0,035), Gesundheitskompetenz (CHull: ß = 0,077; p = 0,008), Gehwegqualität (ß = 0,366; p = 0,003), Grünflächenanteil (TOH: ß = 0,005; p = 0,047), ambulante Versorgungsinanspruchnahme (TOH: ß = −0,637; p < 0,001, CHull: ß = 1,532; p = 0,025) und aktives Autofahren (TOH: ß = −0,361; p = 0,004) gefunden. Diskussion Bereits bekannte multifaktorielle Assoziationen mit objektiv gemessener außerhäuslicher Mobilität konnten im ländlichen Raum bestätigt werden. Neuartig und für Forschung und Praxis relevant ist der signifikante Zusammenhang außerhäuslicher Mobilität mit der Versorgungsinanspruchnahme.

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Change in GPS-assessed walking locations following a cluster-randomized controlled physical activity trial in older adults, results from the MIPARC trial

Cited by 9 publications

References 82 publications

The effectiveness of rehabilitation interventions including outdoor mobility on older adults’ physical activity, endurance, outdoor mobility and falls-related self-efficacy: systematic review and meta-analysis

The effectiveness of rehabilitation interventions including outdoor mobility on older adults’ physical activity, endurance, outdoor mobility and falls-related self-efficacy: systematic review and meta-analysis

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

What importance does outpatient care have for mobility in rural areas? Results from a GPS study among persons aged 75 and older

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