Evidence map›Paper›PMID 29715072›Full record

ArticleMetabolic syndrome and related disorders2018

International Comparison of Abdominal Fat Distribution Among Four Populations: The ERA-JUMP Study.

Sayaka Kadowaki, Katsuyuki Miura, Takashi Kadowaki, Akira Fujiyoshi, Aiman El-Saed, Kamal H Masaki, Tomonori Okamura, Daniel Edmundowicz, Beatriz L Rodriguez, Yasuyuki Nakamura and 10 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Metabolic syndrome and related disorders, 2018. 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
1.2field-weighted citation impact, top 19% 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, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Fatty liver index predicts the development of hypertension in a Japanese general population with and without dysglycemia.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  7. Article
  8. Review
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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

20 authors at 8 institutions in 3 countries.

Sayaka Kadowaki1 Department of Public Health, Shiga University of Medical Science , Otsu, Japan .
Katsuyuki Miura1 Department of Public Health, Shiga University of Medical Science , Otsu, Japan .
Takashi Kadowaki1 Department of Public Health, Shiga University of Medical Science , Otsu, Japan .
Akira Fujiyoshi1 Department of Public Health, Shiga University of Medical Science , Otsu, Japan .
Aiman El-Saed3 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh , Pittsburgh, Pennsylvania.
Kamal H Masaki4 Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii , Honolulu, Hawaii.
Tomonori Okamura6 Department of Preventive Medicine and Public Health, School of Medicine, Keio University , Tokyo, Japan .
Daniel Edmundowicz7 Section of Cardiology, Department of Medicine, School of Medicine, Temple University , Philadelphia, Pennsylvania.
Beatriz L Rodriguez4 Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii , Honolulu, Hawaii.
Yasuyuki Nakamura8 Department of Food Science and Human Nutrition, Faculty of Agriculture, Ryukoku University , Kyoto, Japan .
Emma J M Barinas-Mitchell3 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh , Pittsburgh, Pennsylvania.
Aya Kadota1 Department of Public Health, Shiga University of Medical Science , Otsu, Japan .
Bradley J Willcox2 Center for Epidemiologic Research in Asia, Shiga University of Medical Science , Otsu, Japan .
Robert D Abbott2 Center for Epidemiologic Research in Asia, Shiga University of Medical Science , Otsu, Japan .
Lewis H Kuller3 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh , Pittsburgh, Pennsylvania.
Jina Choo9 College of Nursing, Korea University , Seoul, South Korea .
Chol Shin10 Department of Internal Medicine, Korea University Medical Center , Seoul, South Korea .
Hirotsugu Ueshima1 Department of Public Health, Shiga University of Medical Science , Otsu, Japan .
Akira Sekikawa3 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh , Pittsburgh, Pennsylvania.
ERA JUMP Study Group
Shiga University of Medical Science · JPUniversity of Pittsburgh · USUniversity of Hawaiʻi at Mānoa · USRyukoku University · JPKeio University · JPKorea University · KRKorea University Medical Center · KRTemple University · US

Funding

Foreign CohortR01HL068200 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEKIKAWA, AKIRA · 2003 to 2012
$5.6M
NHLBI NIH HHS R01 HL068200
6 · The paper itself

Abstract

backgroundAbdominal fat distribution varies across groups with different races or environments. Whether environmental factors, apart from racial differences, affect abdominal fat distribution is unknown.

methodsWe compared the abdominal fat distribution of four groups; different races with similar environments (Caucasians vs. Japanese Americans), different environments with an identical race (Japanese Americans vs. Japanese), and similar races with similar environments (Japanese vs. Koreans). A population-based sample of 1212 men aged 40-49 were analyzed: 307 Caucasians and 300 Japanese Americans in the United States, 310 Japanese in Japan, and 295 Koreans in Korea. We compared the proportion of visceral adipose tissue area to total abdominal adipose tissue area (VAT%) and other factors that can affect abdominal fat distribution (smoking, alcohol use, physical activity levels, and metabolic factors).

resultsVAT% was significantly higher in Japanese and Koreans than in Japanese Americans and Caucasians (50.0, 48.5, 43.2, 41.0%, respectively, P < 0.001). Even after adjustment for possible confounders, the significant VAT% difference remained in comparing groups with identical race but different environments (i.e., Japanese vs. Japanese Americans). In contrast, comparing groups with different races but similar environments (i.e., Caucasians vs. Japanese Americans), VAT% was not significantly different. Comparing groups with similar races and similar environments (i.e., Japanese vs. Koreans), VAT% did not significantly differ.

conclusionsEnvironmental differences, apart from racial differences, affect the difference in abdominal fat distribution across different groups in middle-aged men.

Indexed as

Abdominal FatAdiposityAdultAsianBody Mass IndexEnvironmentEthnicityExerciseHumansInternational CooperationIntra-Abdominal FatJapanLife StyleMaleMiddle AgedMultivariate Analysiscross-sectional studyepidemiologyinternational studysubcutaneous adipose tissuevisceral adipose tissue

Identifiers

PMID29715072
PMCPMC5931176
OpenAlexW2802814122

What Socratic holds

Textmetadata
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 Socratic graph.