Evidence map›Paper›PMID 40708911›Full record

ArticleJournal of elder policy2024

Incidence and dynamics of mobility device use among community-dwelling older adults in the United States.

Xinran Liu, Sara E Baumann, Andrea L Rosso, Elizabeth M Venditti, Yao Yao, Steven M Albert

Abstract read
In one paragraph

Article in Journal of elder policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Xinran LiuDepartment of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-0692-9534
Sara E BaumannDepartment of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.
Andrea L RossoDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.
Elizabeth M VendittiDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Yao YaoChina Center for Health Development Studies, Peking University, Beijing, China.
Steven M AlbertDepartment of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.

Funding

Improving Menstrual Health Among Women and Girls Using Community Engaged Intervention Development in NepalK01TW012424 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Sara Elizabeth Baumann · 2023 to 2026
$673k
FIC NIH HHS K01 TW012424
6 · The paper itself

Abstract

Mobility devices are crucial in enhancing activities and participation for individuals with mobility disability, particularly among the rapidly expanding population of older adults worldwide. This paper explores patterns of mobility device use among a nationally representative cohort of community-dwelling older adults in the United States, using data from the National Health and Aging Trends Study (NHATS) waves 1-9 (2011-2019). Our descriptive analysis focuses on the characteristics of incident mobility device use, its influencing factors, and related user experiences, aligning with the NHATS late-life disability framework. Mobility devices were categorized into walking aids (WAs), wheeled and seated mobility devices (WSMDs), and mixed use of both. We identified 2,943 incidents of mobility device use among 2,591 participants, spanning 47,722 person-years in community settings, yielding an incidence rate of 61.7 per 1,000 person-years. Over half (51.3%) of mobility device use ended in 1 year, with WAs being the predominantly used (63.8%). About one-third (30.5%) of these incidents involved a change in device combinations, with a notable shift towards WSMDs and mixed use over time. We found that older adults using WSMDs or changing their device combinations were in a more vulnerable state, while those using mixed devices or changing their device combinations experienced poorer user experiences. This study advocates for the implementation of rental and recycling programs, the involvement of NGOs and professional associations, and the adoption of flexible policies responding to the dynamic patterns of mobility device use among community-dwelling older adults. It also recommends expanding services to better serve vulnerable subgroups.

Indexed as

assistive technologymobility devicemobility disabilityuser experience

Identifiers

PMID40708911
PMCPMC12288708

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.