Evidence map›Paper›PMID 24148901›Full record

ArticlePublic health nutrition2014

Association of regional body fat with metabolic risks in Chinese women.

Xiaohua Fu, Aihua Song, Yunjie Zhou, Xiaoguang Ma, Jingjing Jiao, Min Yang, Shankuan Zhu

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Public health nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

30 citing papers in PubMed, 48 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

7 authors at 3 institutions in 2 countries.

Xiaohua Fu1Obesity and Body Composition Research Center,Chronic Disease Research Institute,Zhejiang University,Hangzhou,People's Republic of China.
Aihua Song1Obesity and Body Composition Research Center,Chronic Disease Research Institute,Zhejiang University,Hangzhou,People's Republic of China.
Yunjie Zhou1Obesity and Body Composition Research Center,Chronic Disease Research Institute,Zhejiang University,Hangzhou,People's Republic of China.
Xiaoguang Ma3Department of Epidemiology and Biostatistics,Arnold School of Public Health,University of South Carolina,Columbia,SC,USA.
Jingjing Jiao1Obesity and Body Composition Research Center,Chronic Disease Research Institute,Zhejiang University,Hangzhou,People's Republic of China.
Min Yang1Obesity and Body Composition Research Center,Chronic Disease Research Institute,Zhejiang University,Hangzhou,People's Republic of China.
Shankuan Zhu1Obesity and Body Composition Research Center,Chronic Disease Research Institute,Zhejiang University,Hangzhou,People's Republic of China.
Zhejiang University · CNUniversity of South Carolina · USZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association of regional fat depots with metabolic risk factors in Chinese women.

designTotal and regional fat depots including android fat and gynoid fat were measured by dual-energy X-ray absorptiometry. Central fat distribution was defined as android:gynoid fat ratio. Metabolic risk factors were defined as elevated TAG, reduced HDL-cholesterol, elevated blood pressure and elevated fasting plasma glucose. Logistic regression analyses were performed to examine the associations of regional fat depots with metabolic risk factors. The odds ratios of metabolic risks were further calculated according to tertiles of android fat and gynoid fat.

settingParticipants were recruited from a community-based cross-sectional study. Face-to-face questionnaires, anthropometric and dual-energy X-ray absorptiometry measures were conducted. SUBJECTS: Chinese women (n 609) aged 18-79 years.

resultsAndroid fat and android:gynoid fat ratio were associated with significantly increased odds (OR = 1·4-3·7; P < 0·01) for almost all risk factors, whereas gynoid fat was independently associated with significantly decreased odds (OR = 0·3-0·6; P < 0·01). The inverse associations of gynoid fat with metabolic risk factors remained after adjusting for android fat. Even if their android fat level was in high, women in the highest tertile of gynoid fat had lower odds of having at least two metabolic risk factors compared with women in the lowest gynoid fat tertile (P for trend < 0·01).

conclusionsThere were opposite associations of android and gynoid fat with metabolic risks in Chinese women. Gynoid fat rather than android fat might be a more important inclusion in metabolic disease risk evaluation in female Asians.

Indexed as

AdiposityAbsorptiometry, PhotonAdolescentAdultAgedBody Fat DistributionBody Mass IndexCardiovascular DiseasesChinaCross-Sectional StudiesFemaleHumansMetabolic SyndromeMiddle AgedObesityOverweight

Identifiers

PMID24148901
PMCPMC10282636
OpenAlexW2037093727

What OpenQuestion 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 OpenQuestion graph.