Evidence map›Paper›PMID 33946785›Full record

ArticleHealthcare (Basel, Switzerland)2021

Association between Trunk Muscle Strength and Fall Risk in Older Men and Women with Lumbar Spondylosis.

Tadashi Ito, Yoshihito Sakai, Hideshi Sugiura, Keitaro Kawai, Yoshifumi Morita, Kazunori Yamazaki

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
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  5. 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 at 5 institutions in 1 country.

Tadashi ItoThree-Dimensional Motion Analysis Room, Aichi Prefectural Mikawa Aoitori Medical and Rehabilitation Center for Developmental Disabilities, Okazaki 444-0002, Japan.ORCID 0000-0002-5427-7609
Yoshihito SakaiDepartment of Orthopedic Surgery, National Center for Geriatrics and Gerontology, Obu 474-8501, Japan.
Hideshi SugiuraDepartment of Physical Therapy, Graduate School of Medicine, Nagoya University, Nagoya 461-8673, Japan.ORCID 0000-0003-4703-9941
Keitaro KawaiDepartment of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.
Yoshifumi MoritaDepartment of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.
Kazunori YamazakiSchool of Health Sciences, Faculty of Clinical Engineering, Fujita Health University, Toyoake 470-1192, Japan.
Nagoya Institute of Technology · JPAichi Developmental Disability Center · JPFujita Health University · JPNagoya University · JPNational Center for Geriatrics and Gerontology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various factors significantly affect the risk of falls among older adults with lumbar spondylosis. However, the relationship between falls and trunk muscle strength in older men is poorly explored. Thus, we aimed to investigate the relationship between back muscle strength and fall risk in older men and women with lumbar spondylosis. Based on self-reported fall scores, 39 outpatients were classified into two groups. Back and abdominal muscle strength, among other data, were compared between the two groups. Spearman's rank correlation analysis was used to assess the relationship between fall scores and selected variables. Back (r = -0.491,

Indexed as

abdominal musclefallmuscle strengthspondylosis

Identifiers

PMID33946785
PMCPMC8146285
OpenAlexW3159423452

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.