Evidence map›Paper›PMID 33012132›Full record

ArticleObesity (Silver Spring, Md.)2020

Membrane Capacitance from a Bioimpedance Approach: Associations with Insulin Resistance in Relatively Healthy Adults.

Valene Garr Barry, Courtney M Peterson, Barbara A Gower

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Cell Membrane Capacitance (Sensors (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Valene Garr BarryDepartment of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0003-2999-5948
Courtney M PetersonDepartment of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-4845-6782
Barbara A GowerDepartment of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
University of Alabama at Birmingham · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
UAB Pre-Doctoral Training Program in Obesity-Related ResearchT32HL105349 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2010 to 2026
$5.7M
UAB PREP Scholars ProgramR25GM086256 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GAVIN, CRISTIN F, SCHNEIDER, DAVID ALAN · 2009 to 2024
$5.3M
NHLBI NIH HHS T32 HL105349NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626NIGMS NIH HHS R25 GM086256
6 · The paper itself

Abstract

objectiveThis study aimed to determine whether higher membrane capacitance (C

methodsCross-sectional analyses were performed on 2,191 relatively healthy adults from the National Health and Nutrition Examination Survey. The C

resultsCompared with those with low/no risk, women and men with IR (P < 0.001) and IR + MetS (P < 0.001) had higher C

conclusionsHigher C

Indexed as

AdolescentAdultCross-Sectional StudiesElectric ImpedanceFemaleHumansInsulin ResistanceMaleMetabolic SyndromeMiddle AgedRisk FactorsYoung Adult

Identifiers

PMID33012132
PMCPMC8078027
OpenAlexW3090183259

What OpenQuestion holds

Textmetadata
LicenceTDM
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.