Evidence map›Paper›PMID 25544742›Full record

ArticleBody image2015

Metabolic syndrome and discrepancy between actual and self-identified good weight: Aerobics Center Longitudinal Study.

Michael D Wirth, Christine E Blake, James R Hébert, Xuemei Sui, Steven N Blair

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Body image, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Michael D WirthSouth Carolina Statewide Cancer Prevention and Control Program, University of South Carolina, Columbia, SC, USA; Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA. Electronic address: wirthm@mailbox.sc.edu.
Christine E BlakeDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, USA.
James R HébertSouth Carolina Statewide Cancer Prevention and Control Program, University of South Carolina, Columbia, SC, USA; Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.
Xuemei SuiDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Steven N BlairDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA; Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
University of South Carolina · US

Funding

HEALTH PROMOTION AND DISEASE PREVENTION RESEARCH CENTERS: CENTER PROPOSAL CAT. 1U48DP001936 · DP · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WILCOX, SARA · 2009 to 2013
$7.3M
Impact of Physical Fitness and Exercise on HealthR37AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 2002 to 2005
$2.7M
CORONARY ARTERY CALCIUM, EXERCISE TESTS, AND CHD OUTCOMER01HL062508 · NHLBI · COOPER INSTITUTE · PI LAMONTE, MICHAEL J · 1999 to 2004
$2.5M
IMPACT OF PHYSICAL FITNESS &EXERCISE ON HEALTHR01AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 1986 to 2001
$1.1M
Expanding Mentoring Capacity in High-Risk PopulationsK05CA136975 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HEBERT, JAMES R · 2009 to 2013
$801k
Understanding Patterns of Change in Obesity and Physical Activity in AdultsR21DK088195 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI SUI, XUEMEI · 2010 to 2011
$397k
NCCDPHP CDC HHS 3U48DP001936-01NCCDPHP CDC HHS U48 DP001936NCI NIH HHS K05 CA136975NCI NIH HHS K05CA136975NHLBI NIH HHS HL62508NHLBI NIH HHS R01 HL062508NIA NIH HHS AG06945NIA NIH HHS R01 AG006945NIA NIH HHS R37 AG006945NIDDK NIH HHS DK088195NIDDK NIH HHS R21 DK088195
6 · The paper itself

Abstract

This study examined whether the discrepancy between measured and self-identified good weight (weight discrepancy) predicts metabolic syndrome (MetSyn). This study included 6,413 participants enrolled in the Aerobics Center Longitudinal Study (mean follow-up: 4.8±3.8 years). Weight discrepancy was defined as measured weight minus self-identified good weight. MetSyn was defined using standard definitions. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) for incident MetSyn, by weight discrepancy category, were estimated using Cox proportional hazards regression. The multivariable-adjusted HR for MetSyn was 3.48 (95% CI=2.48-4.86) for those who maintained higher weight discrepancy over time compared to individuals with lower weight discrepancy. Additional adjustment for body mass index did not change this interpretation (HR=3.44; 95% CI=2.46-4.82). Weight discrepancy may be a useful screening characteristic and target for future interventions to further reduce the risk of chronic weight-related disorders, included MetSyn.

Indexed as

Body WeightBody ImageFemaleHumansLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedProportional Hazards ModelsRisk FactorsSedentary BehaviorSmokingMetabolic syndromeObesityPhysical activityWeight discrepancy

Identifiers

PMID25544742
PMCPMC4369442
OpenAlexW2040426898

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.