Evidence map›Paper›PMID 26251837›Full record

ArticleClinical nutrition research2015

Dietary Very Long Chain Saturated Fatty Acids and Metabolic Factors: Findings from the Korea National Health and Nutrition Examination Survey 2013.

Youn Sue Lee, Yoonsu Cho, Min-Jeong Shin

Open access · hybridAbstract read
In one paragraph

Article in Clinical nutrition research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 19 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

3 authors at 2 institutions in 2 countries.

Youn Sue LeeDepartment of Food and Nutrition, Korea University, Seoul 136-701, Korea. ; Department of Public Health Science, BK21PLUS Program in Embodiment: Health-Society Interaction, Graduate School of Korea University, Seoul 136-701, Korea.
Yoonsu ChoDepartment of Food and Nutrition, Korea University, Seoul 136-701, Korea. ; Department of Public Health Science, BK21PLUS Program in Embodiment: Health-Society Interaction, Graduate School of Korea University, Seoul 136-701, Korea.
Min-Jeong ShinDepartment of Food and Nutrition, Korea University, Seoul 136-701, Korea. ; Department of Public Health Science, BK21PLUS Program in Embodiment: Health-Society Interaction, Graduate School of Korea University, Seoul 136-701, Korea. ; Korea University Guro Hospital, Korea University College of Medicine, Seoul 152-703, Korea.
Korea University · KRKorea University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was aim to evaluate the association between very long chain saturated fatty acids (VLSFAs) and metabolic syndrome (MetS) in Korean population. The study population were recruited from the Korea National Health and Nutrition Examination Survey VI (2013). Using the cross-sectional study design, socio-demographic factors, medical history, and clinical measurements were investigated according to quartiles of VLSFAs intake. The associations between each and sum of VLSFAs intake and MetS were assessed by logistic regression. The result indicated that higher intake of VLSFAs was significantly associated with favorable metabolic status, including lower levels of circulating triglyceride (TG) (p < 0.05). Additionally, subjects with higher intake of arachidic acid and total VLSFAs were negatively associated with MetS risk compared to subjects with lower intake of those fatty acids (p < 0.05). In conclusion, dietary VLSFAs intake was associated with metabolic risk factors and lower risk of MetS in Korean population.

Indexed as

Arachidic acidBehenic acidFatty acidLignoceric acidMetabolic syndrome

Identifiers

PMID26251837
PMCPMC4525135
OpenAlexW1895288631

What OpenQuestion holds

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LicenceCC BY-NC
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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.