Evidence map›Paper›PMID 37570374›Full record

ArticleHealthcare (Basel, Switzerland)2023

Key Attributes and Clusters of the Korean Exercise Healthcare Industry Viewed through Big Data: Comparison before and after the COVID-19 Pandemic.

Sung-Un Park, Deok-Jin Jang, Dong-Kyu Kim, Chulhwan Choi

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Sung-Un ParkDepartment of Sports and Health, Hwasung Medi-Science University, Hwaseong-si 18274, Republic of Korea.ORCID 0000-0002-8518-6048
Deok-Jin JangDepartment of Sports Medicine, Shinhan University, Uijeongbu-si 11644, Republic of Korea.
Dong-Kyu KimDepartment of Sports Science, Chungwoon University, Hongseong-gun 32224, Republic of Korea.ORCID 0000-0003-4746-0381
Chulhwan ChoiDepartment of Physical Education, Gachon University, Seongnam-si 13120, Republic of Korea.ORCID 0000-0002-2074-8505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to predict the characteristics of the exercise healthcare industry in the post-pandemic era by comparing the periods before and after the coronavirus disease 2019 outbreak through big data analysis. TEXTOM, the Korean big data collection and analysis solution, was used for data collection. The pre-pandemic period was defined as 1 January 2018-31 December 2019 and the pandemic period as 1 January 2020-31 December 2021. The keywords for data collection were "exercise + healthcare + industry". Text mining and social network analysis were conducted to determine the overall characteristics of the Korean exercise healthcare industry. We identified 30 terms that appeared most frequently on social media. Four common (

Indexed as

COVID-19exercisehealthcaretechnology

Identifiers

PMID37570374
PMCPMC10419111

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.