Evidence map›Paper›PMID 26311989›Full record

ReviewJournal of physical therapy science2015

Comparison of quality of life according to community walking in stroke patients.

Eunkyoung Hong

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of physical therapy science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Eunkyoung HongDepartment of Occupational Therapy, Shinsung University, Republic of Korea.
Shinsung University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] The aim of this study was to examine the quality of life of stroke patients according to their degree of community walking. [Subjects] This study utilized raw data from the sixth Korea National Health and Nutrition Examination Survey conducted in 2013 by the Korea Centers for Disease Control and Prevention. The subjects were noninstitutionalized stroke patients (n = 71) diagnosed by a doctor. [Methods] Trained surveyors visited households selected for the sample and conducted face-to-face interviews in conjunction with a structured questionnaire. The content of the interview included demographic data and the EuroQoL; EQ-5D-3L. Inferential statistical analysis took into account the clustering and stratification of the sample survey data as usually done in a complex survey design. A χ(2) test was performed to identify the quality of life distribution according to walking days during a typical week. Finally, logistic regression analysis was performed to identify the correlation between quality of life and walking days. [Results] Mobility, usual activities, and anxiety/depression differed significantly according to number of walking days during a normal week. No significant difference was found in the relationship between quality of life and days of walking during a normal week. [Conclusion] This study indicates that community walking every day is better than walking 1-3 days a week or no walking in terms of the effect on quality of life. However, the extent to which community walking is good for improving quality of life is unclear. Further studies need to determine the optimal duration (days) of community walking.

Indexed as

Community walkingQuality of lifeStroke

Identifiers

PMID26311989
PMCPMC4540888
OpenAlexW1154520964

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.