Evidence map›Paper›PMID 28595173›Full record

ArticleAnnals of nutrition & metabolism2017

Effects of Weight Loss with and without Exercise on Regional Body Fat Distribution in Postmenopausal Women.

Monica C Serra, Jacob B Blumenthal, Odessa R Addison, Ann J Miller, Andrew P Goldberg, Alice S Ryan

Abstract read
In one paragraph

Article in Annals of nutrition & metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Adipogenesis: A Necessary but Harmful Strategy.International journal of molecular sciences · 2019
    Review
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

6 authors at 2 institutions in 1 country.

Monica C SerraBaltimore VA Medical Center and University of Maryland School of Medicine, Baltimore, MD, USA.
Jacob B Blumenthal
Odessa R Addison
Ann J Miller
Andrew P Goldberg
Alice S Ryan
University of Maryland, Baltimore · USBaltimore VA Medical Center · US

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI GAROFALO, MICHAEL CURTIS · 2002 to 2009
$20.2M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Verruca Vulgaris--Skin Test &Candida /Mumps AntigenM01RR014288 · NCRR · UNIV OF ARKANSAS FOR MED SCIS · PI AUDE, YAMIL W · 1999 to 2006
$11.1M
Race, Lipoprotein Lipase and Obesity after MenopauseR01AG020116 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI GOLDBERG, ANDREW P · 2003 to 2007
$2.2M
Diet and Exercise: Race, Postmenopause and MetabolismR01AG019310 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI RYAN, ALICE S. · 2001 to 2005
$1.5M
Exercise and Weight Loss to Improve Mobility Function in Veterans with PADIK2RX001788 · VA · BALTIMORE VA MEDICAL CENTER · PI ADDISON, ODESSA · 2016 to 2021
–
Aerobic Training to Improve Energy Utilization and Antioxidant Capacity in StrokeIK2RX000944 · VA · VETERANS HEALTH ADMINISTRATION · PI SERRA, MONICA C · 2014 to 2019
–
NCRR NIH HHS M01 RR014288NCRR NIH HHS M01 RR016500NIA NIH HHS P30 AG028747NIA NIH HHS R01 AG019310NIA NIH HHS R01 AG020116NIDDK NIH HHS P30 DK072488RRD VA IK2 RX000944RRD VA IK2 RX001788
6 · The paper itself

Abstract

BACKGROUND/

aimsThe purpose was to determine whether lifestyle interventions have different effects on regional fat in women with normal glucose tolerance vs. impaired glucose tolerance (NGT vs. IGT).

methodsChanges in glucose metabolism (2-h oral glucose-tolerance tests), android to gynoid fat mass ratio (dual energy X-ray absorptiometry [DXA]), visceral to subcutaneous abdominal fat area ratio (CT), and abdominal to gluteal subcutaneous fat cell weight (FCW; adipose tissue biopsies) were determined in 60 overweight postmenopausal women (45-80 years) following 6 months of weight loss alone (WL; n = 28) or with aerobic exercise (AEX + WL; n = 32).

resultsThe interventions led to ∼8% decrease in weight, but only the AEX + WL group improved fitness (↑11% in VO2max) and reduced the android-to-gynoid fat mass ratio (↓5%; p < 0.05). Both NGT and IGT groups reduced visceral and subcutaneous abdominal fat areas and abdominal and gluteal FCWs, which related to improvements in homeostatic model assessment (r = 0.34-0.42) and 2-h glucose (r = 0.34-0.35), respectively (p < 0.05). The decline in FCW was 2× greater in women with IGT following WL (p < 0.05). The ratios of abdominal-to-gluteal FCW did not change following either intervention.

conclusionsThe mechanisms by which WL with and without exercise impact regional fat loss should be explored as reductions in abdominal fat area and subcutaneous FCW appear to influence glucose metabolism. This is a work of the U.S. Government and is not subject to copyright protection in the United States. Foreign copyrights may apply. Published by S. Karger AG, Basel.

Indexed as

Body Fat DistributionExercisePostmenopauseWeight LossAbsorptiometry, PhotonAgedAged, 80 and overBlood GlucoseBody CompositionFemaleGlucose IntoleranceGlucose Tolerance TestHumansInsulinLife StyleMiddle AgedBlood GlucoseInsulinAerobic exerciseBody fat distributionPostmenopausal womenWeight loss

Identifiers

PMID28595173
PMCPMC5545797
OpenAlexW2622268657

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.