Evidence map›Paper›PMID 38125292›Full record

ReviewPhysical therapy research2023

Frailty and Environmental Attributes in Older Adults: Insight from an Ecological Model.

Kazuki Uemura, Tsukasa Kamitani, Minoru Yamada

Abstract readReview
In one paragraph

Review in Physical therapy research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

3 authors.

Kazuki UemuraGraduate School of Rehabilitation Science, Osaka Metropolitan University, Japan.
Tsukasa KamitaniSection of Education for Clinical Research, Kyoto University Hospital, Japan.
Minoru YamadaFaculty of Human Sciences, University of Tsukuba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies on frailty have primarily focused on individual-level risk factors such as demographics and lifestyle. While guidelines for frailty management recommend modifications to an individual's lifestyle, their lifestyle behaviors are significantly influenced by their surroundings. Recently, the association between frailty and environmental attributes has drawn attention as a result of the increase in evidence that multiple factors affect health conditions and behaviors associated with frailty. These findings can be organized based on an ecological model involving five nested levels that influence an individual's behaviors, namely, an intrapersonal/individual core (age, education, and attitude), an interpersonal level (persons and groups), an organizational/institutional level (organization and workplace), a community level (natural, built, and social environments), and a system/public policy level (public policies from local to national). This study reviewed possible factors associated with frailty from the onset and its progression at each level of the ecological model and their implications regarding frailty prevention. Additionally, we introduce a policy-level approach for frailty prevention in Japan-which encourages residents to engage in the local society by participating in community places or groups that are referred to as "Kayoi-no-ba"-and aggregate its status from a government report. This perspective on community building is consistent with the concept of an ecological model. However, few studies have verified the effects of policy- or system-level approaches on disability and frailty prevention. Further studies from an ecological perspective are needed to fulfill multilevel interventions for frailty prevention.

Indexed as

Disability preventionHealth literacyKayoi-no-baPhysical activitySocial capital

Identifiers

PMID38125292
PMCPMC10730123

What OpenQuestion holds

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Registered trials

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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.