Evidence map›Paper›PMID 33397033›Full record

ReviewEndocrinology and metabolism (Seoul, Korea)2020

Genetic and Environmental Factors Contributing to Visceral Adiposity in Asian Populations.

Rachel Williams, Muthu Periasamy

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Endocrinology and metabolism (Seoul, Korea), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 5 pooled it
3.4field-weighted citation impact, top 7% 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

49 citing papers in PubMed, 5 syntheses or guidelines pooled it, 80 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

2 authors at 1 institution in 1 country.

Rachel WilliamsDepartment of Internal Medicine, University of Central Florida (UCF) College of Medicine, Burnett School of Biomedical Sciences, Orlando, FL, USA.
Muthu PeriasamyDepartment of Internal Medicine, University of Central Florida (UCF) College of Medicine, Burnett School of Biomedical Sciences, Orlando, FL, USA.
University of Central Florida · US

Funding

RECRUITMENT OF SKELETAL MUSCLE BASED ON NON-SHIVERING THERMOGENESIS IN HEALTH AND DISEASER01DK098240 · NIDDK · UNIVERSITY OF CENTRAL FLORIDA · PI PERIASAMY, MUTHU · 2013 to 2017
$1.9M
NIDDK NIH HHS R01 DK098240UCF College of Medicine
6 · The paper itself

Abstract

Obesity-associated metabolic illnesses are increasing at an alarming rate in Asian countries. A common feature observed in the Asian population is a higher incidence of abdominal obesity-the "skinny-fat" Asian syndrome. In this review, we critically evaluate the relative roles of genetics and environmental factors on fat distribution in Asian populations. While there is an upward trend in obesity among most Asian countries, it appears particularly conspicuous in Malaysia. We propose a novel theory, the Malaysian gene-environment multiplier hypothesis, which explains how ancestral variations in feast-and-famine cycles contribute to inherited genetic predispositions that, when acted on by modern-day stressors-most notably, urbanization, westernization, lifestyle changes, dietary transitions, cultural pressures, and stress-contribute to increased visceral adiposity in Asian populations. At present, the major determinants contributing to visceral adiposity in Asians are far from conclusive, but we seek to highlight critical areas for further research.

Indexed as

Gene-Environment InteractionAdipose TissueAsiaAsian PeopleDiabetes Mellitus, Type 2DietHumansLife StyleMalaysiaMetabolic SyndromeObesity, AbdominalAdiposityAsianIntra-abdominal fat

Identifiers

PMID33397033
PMCPMC7803598
OpenAlexW3116884131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.