Evidence map›Paper›PMID 35400832›Full record

ArticleJournal of physical therapy science2022

Risk factors for falls among community-dwelling older adults during voluntary self-isolation: analysis based on frailty screening index subscales.

Akihiko Murayama, Daisuke Higuchi, Kosuke Saida, Shigeya Tanaka, Tomoyuki Shinohara

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2022. 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

5 authors.

Akihiko MurayamaDepartment of Physical Therapy, Faculty of Rehabilitation, Gunma University of Health and Welfare: 2-12-1 Hon-machi, Maebashi-shi, Gunma 371-0023, Japan.
Daisuke HiguchiDepartment of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare, Japan.
Kosuke SaidaDepartment of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare, Japan.
Shigeya TanakaDepartment of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare, Japan.
Tomoyuki ShinoharaDepartment of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] This study aimed to assess fall-related risk factors among community-dwelling older adults during a period of voluntary self-isolation for preventing the spread of COVID-19. [Participants and Methods] This was a cross-sectional study. Survey questionnaire forms were distributed to 2,586 community-dwelling older adults in Takasaki City, Gunma Prefecture, Japan. Completed questionnaires were returned by mail. [Results] Of the 1,645 people who responded, 1,040 people aged 65 and over who did not apply for long-term care insurance and fully completed the questionnaire were included in this study. Since no in-person measurements were required, we utilized the Frailty Screening Index for the evaluations. We evaluated the relationship between questionnaire responses and fall rates among community-dwelling older adults. Among the results, "yes" responses to "Do you think you walk more slowly than before?" were identified as significantly associated with falls. [Conclusion] One must pay careful attention to subjectively assessing decreases in walking speed as a fall prevention measure during periods of self-restraint to prevent the spread of COVID-19 infection.

Indexed as

COVID-19Self-isolationWalking speed

Identifiers

PMID35400832
PMCPMC8989482

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.