Evidence map›Paper›PMID 25120889›Full record

ArticleKorean journal of family medicine2014

Association between Appendicular Fat Mass and Metabolic Risk Factors.

Si Young Park, Kil Young Kwon, Jung Hwan Kim, Hyung Hwa Choi, Kun Hee Han, Jee Hye Han

Abstract read
In one paragraph

Article in Korean journal of family medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Relationship between fat distribution and cardiometabolic risk in Hispanic girls.American journal of human biology : the official journal of the Human Biology Council · 2018
    Article
  8. Article
  9. Comments on statistical issues in september 2014.Korean journal of family medicine · 2014
    Article
  10. 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

6 authors.

Si Young ParkDepartment of Family Medicine, Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.
Kil Young KwonDepartment of Family Medicine, Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.
Jung Hwan KimDepartment of Family Medicine, Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.
Hyung Hwa ChoiDepartment of Family Medicine, Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.
Kun Hee HanDepartment of Family Medicine, Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.
Jee Hye HanDepartment of Family Medicine, Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent regional fat depots have different effects on lipid and glucose metabolism. The purpose of this study is to examine the relationship between body fat distribution as measured by dual-energy X-ray absorptiometry (DEXA) and metabolic risk factors and to disclose whether there is any difference between groups with and without metabolic syndrome (MS).

methodsA total of 292 participants (98 men, 194 women) over 19 years old underwent whole-body DEXA to evaluate body composition with respect to the whole body, leg, arm, and android regions. Anthropometry and blood tests for metabolic risks were measured.

resultsOne hundred and seven participants were diagnosed with MS. The MS group had significantly higher android fat (%) and had lower leg fat (%), arm fat (%), and appendicular (arms + legs) fat (%) than the non-MS group. Android fat (%) had a positive correlation with waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), glucose, log insulin, hemoglobin A1c (HbA1c), triglyceride (TG), and low density lipoprotein cholesterol, and had a negative correlation with high density lipoprotein (HDL) cholesterol. Appendicular fat (%) had a negative correlation with WC, SBP, DBP, glucose, log insulin, HbA1c, and TG, and had a positive correlation with HDL cholesterol. The association of appendicular fat with metabolic risk was consistently observed in non-MS, but the association was not observed except for SBP, glucose and log insulin in MS.

conclusionIn contrast with the adverse effects of android fat, appendicular fat distribution was associated with decreased risks of MS. The protective effect of appendicular fat against metabolic risk factors in non-MS was less characteristic in MS.

Indexed as

Android FatAppendicular FatBody Fat DistributionDual-Energy X-ray AbsorptiometryMetabolic Syndrome

Identifiers

PMID25120889
PMCPMC4129245

What OpenQuestion holds

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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.