Evidence map›Paper›PMID 32257796›Full record

ArticleIntegrative medicine research2020

Prediction model for utilization of complementary and alternative medicine for sports injuries among Korean elite collegiate athletes.

Ye-Seul Lee, Deuk Su Park, Jae Keun Oh, Song-Yi Kim

Open access · goldAbstract read
In one paragraph

Article in Integrative medicine research, 2020. 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
1.7field-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

1 citing paper in PubMed, 8 citations in OpenAlex.

  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 at 2 institutions in 1 country.

Ye-Seul LeeDepartment of Anatomy and Acupoint, College of Korean Medicine, Gachon University, Seongnam, South Korea.
Deuk Su ParkSports Medicine Laboratory, Korea National Sport University, Seoul, South Korea.
Jae Keun OhDepartment of Health and Exercise Science, Korea National Sport University, Seoul, South Korea.
Song-Yi KimDepartment of Anatomy and Acupoint, College of Korean Medicine, Gachon University, Seongnam, South Korea.
Gachon University · KRKorea National Sport University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to describe the use of complementary and alternative medicine (CAM) services by Korean elite collegiate athletes and to examine the factors influencing the utilization of CAM, or Korean Medicine (KM).

methodsStudents in Korea National Sport University (KNSU) enrolled and in training during August to December 2017 completed the survey. Data from the survey was analyzed through path analysis.

resultsStudents who were training in the Department of Physical Education, KNSU (n = 624, 70% males, mean age 21.3 ± 1.2) participated in this study. 15% of the respondents chose KM clinics for sports injuries, a higher rate than that of the general population, and 44% of KM interventions involved acupuncture. In the path analysis, sports injuries were positive predictors for utilization of medical services and the perception of KM, and KM utilization and the perception of KM were positive predictors of the willingness to receive KM treatments.

conclusionsThe use of KM such as acupuncture was relatively high in elite collegiate athletes. The perception of KM and willingness to receive KM treatments were mediated by previous KM experiences. A higher accessibility towards KM treatments are necessary.

Indexed as

Korean medicineSports injurySurvey

Identifiers

PMID32257796
PMCPMC7113477
OpenAlexW3010485745

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.