Evidence map›Paper›PMID 22419507›Full record

ArticleHuman brain mapping2013

Relationships between gray matter, body mass index, and waist circumference in healthy adults.

Florian Kurth, Jennifer G Levitt, Owen R Phillips, Eileen Luders, Roger P Woods, John C Mazziotta, Arthur W Toga, Katherine L Narr

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 5 pooled it
7.5field-weighted citation impact, top 2% 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

74 citing papers in PubMed, 5 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Pooled it
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  15. Perspectives on obesity imaging: [International journal of obesity (2005) · 2025
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14 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Florian KurthDepartment of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, Los Angeles, California 90024-1759, USA. fkurth@loni.ucla.edu
Jennifer G Levitt
Owen R Phillips
Eileen Luders
Roger P Woods
John C Mazziotta
Arthur W Toga
Katherine L Narr
University of California, Los Angeles · USNeurobehavioral Systems · US

Funding

YALE CENTER FOR THE: LEARNING &ATTENTIONP41RR013642 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARER, ELAINE L · 1998 to 2011
$21.9M
A Probabilistic Reference System for the Human BrainP01EB001955 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAZZIOTTA, JOHN C · 2003 to 2008
$5.5M
NCRR NIH HHS P41 RR013642NIBIB NIH HHS 5P01-EB001955NIBIB NIH HHS P01 EB001955
6 · The paper itself

Abstract

Obesity and overweight are often defined by the body mass index (BMI), which associates with metabolic and cardiovascular disease, and possibly with dementia as well as variations in brain volume. However, body fat distribution and abdominal obesity (as measured by waist circumference) is more strongly correlated with cardiovascular and metabolic risk than is BMI. While prior studies have revealed negative associations between gray matter tissue volumes and BMI, the relationship with respect to waist circumference remains largely unexplored. We therefore investigated the effects of both BMI and waist circumference on local gray matter volumes in a group of 115 healthy subjects screened to exclude physical or mental disorders that might affect the central nervous system. Results revealed significant negative correlations for both BMI and waist circumference where regional gray matter effects were largest within the hypothalamus and further encompassed prefrontal, anterior temporal and inferior parietal cortices, and the cerebellum. However, associations were more widespread and pronounced for waist circumference than BMI. Follow-up analyses showed that these relationships differed significantly across gender. While associations were similar for both BMI and waist circumference for males, females showed more extensive correlations for waist circumference. Our observations suggest that waist circumference is a more sensitive indicator than BMI, particularly in females, for potentially determining the adverse effects of obesity and overweight on the brain and associated risks to health.

Indexed as

Body Mass IndexBrain MappingAdolescentAdultAgedAged, 80 and overBrainFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedStatistics as TopicWaist CircumferenceYoung Adult

Identifiers

PMID22419507
PMCPMC6869996
OpenAlexW2146921470

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.