Evidence map›Paper›PMID 26957725›Full record

ArticleJournal of physical therapy science2016

Factors affecting metabolic syndrome by lifestyle.

Nam-Kyun Ki, Hae-Kag Lee, Jae-Hwan Cho, Seon-Chil Kim, Nak-Sang Kim

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2016. 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. Trial
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

5 authors.

Nam-Kyun KiDepartment of Radiology, Korea Medical Institute, Republic of Korea; Department of International Radiological Science, Hallym University of Graduate Studies, Republic of Korea.
Hae-Kag LeeDepartment of Computer Science and Engineering, Soonchunhyang University, Republic of Korea.
Jae-Hwan ChoDepartment of International Radiological Science, Hallym University of Graduate Studies, Republic of Korea.
Seon-Chil KimDepartment of Biomedical Engineering, Keimyung University, Republic of Korea.
Nak-Sang KimDepartment of Radiological Science, Songho College, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] The aim of this study was to explore lifestyle factors in relation to metabolic syndrome so as to be able to utilize the results as baseline data for the furtherance of health-care and medical treatment. [Subjects and Methods] This study was conducted with patients who visited a health care center located in Seoul and had abdominal ultrasonography between 2 March 2013 and 28 February, 2014. Heights, weights, and blood pressures were measured by automatic devices. Three radiologists examined the patients using abdominal ultrasonography for gallstone diagnosis. The statuses of patients with regard to smoking, alcohol, coffee, and physical activities were explored for the lifestyle investigation. For investigating baseline demographics, we first used descriptive statistics. We then used the χ(2) test to analyze lifestyles and gallstone prevalence with regard to the presence of metabolic syndrome. Lastly, logistic regression analysis was conducted to discover the risk factors of metabolic syndrome. [Results] For men, body mass index, maximum gallstone size, and waist circumference were revealed as risk factors for metabolic syndrome, in descending order of the degree of risk. For females, gallstone presence was the most significant risk factor, followed by waist circumference. [Conclusion] Metabolic disease mainly presents itself along with obesity, and we should become more focused on preventing and treating this disease. A large-scale prospective study is needed in the future, as the cause of nonalcoholic steatohepatitis remained unclear in this study.

Indexed as

GallstoneLifestyleMetabolic syndrome

Identifiers

PMID26957725
PMCPMC4755971

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.