Evidence map›Paper›PMID 28356623›Full record

ArticleJournal of physical therapy science2017

"Slow walking with turns" increases quadriceps and erector spinae muscle activity.

Mayumi Araki, Yoichi Hatamoto, Yasuki Higaki, Hiroaki Tanaka

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Mayumi ArakiGraduate School of Sports and Health Science, Fukuoka University, Japan.
Yoichi HatamotoFaculty of Sports and Health Science, Fukuoka University, Japan; Fukuoka University Institute for Physical Activity: 8-19-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan.
Yasuki HigakiFaculty of Sports and Health Science, Fukuoka University, Japan; Fukuoka University Institute for Physical Activity: 8-19-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan.
Hiroaki TanakaFaculty of Sports and Health Science, Fukuoka University, Japan; Fukuoka University Institute for Physical Activity: 8-19-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] To maintain an independent lifestyle, older adults should improve muscle strength and mass, or aerobic capacity. A new exercise pattern, called slow walking with turns, which incorporates turning as an extra load additional to walking. The purpose of this study was to measure oxygen consumption during exercise and muscle activity while turning. [Subjects and Methods] Recreationally active volunteers participated. The participants performed 20 turns per minute while walking back and forth over distances of 1.5 to 3.5 m. We measured oxygen consumption, heart rate, and rating of perceived exertion and performed electromyography during the exercise. [Results] The metabolic equivalents of the exercise were 4.0 ± 0.4 to 6.3 ± 4.0 Mets. Activity was significantly greater in the vastus medialis, vastus lateralis, and erector spinae during the turn phase of slow walking with turns than during the stance phase of treadmill walking. [Conclusion] These findings suggest that slow walking with turns may help to preserve the muscle strength and mass of the trunk and lower limbs that are needed to maintain an independent lifestyle. Slow walking can be performed easily by older people, and in slow walking with turns, the exercise intensity can be adjusted as required for each individual.

Indexed as

EMGMetsTurn

Identifiers

PMID28356623
PMCPMC5361002

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.