Evidence map›Paper›PMID 35275373›Full record

ReviewAging clinical and experimental research2022

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

Anisha Suri, Jessie VanSwearingen, Pamela Dunlap, Mark S Redfern, Andrea L Rosso, Ervin Sejdić

Abstract readReview
In one paragraph

Review in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Global Positioning System Indicators of Community Mobility and Future Health Outcomes Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Trial
  3. Real-world walking and activity patterns in community-dwelling older adults: a cross-sectional analysis of baseline data from the SMART-AGE trial.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anisha SuriDepartment of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
Jessie VanSwearingenDepartment of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Pamela DunlapDepartment of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Mark S RedfernDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
Andrea L Rosso *Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Ervin Sejdić *Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA. ervin.sejdic@utoronto.ca.

Funding

Restoring Central Motor Control to Improve Community Mobility of Older AdultsR01AG057671 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2018 to 2021
$2.5M
Environmental Challenges and the Aging Brain: Implications for Community MobilityK01AG053431 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2016 to 2020
$509k
NIA NIH HHS K01 AG053431NIA NIH HHS R01 AG057671NIH HHS AG053431NIH HHS AG057671
6 · The paper itself

Abstract

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.

Indexed as

Independent LivingWearable Electronic DevicesAccelerometryAgedGaitGeographic Information SystemsHumansPhysical activity and participationSpatial movementWearable technology

Identifiers

PMID35275373
PMCPMC8913857

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.