Evidence map›Paper›PMID 23859929›Full record

Trial reportPreventive medicine2013

Weight and metabolic effects of dietary weight loss and exercise interventions in postmenopausal antidepressant medication users and non-users: a randomized controlled trial.

Ikuyo Imayama, Catherine M Alfano, Caitlin Mason, Chiachi Wang, Catherine Duggan, Kristin L Campbell, Angela Kong, Karen E Foster-Schubert, George L Blackburn, Ching-Yun Wang and 1 more

Open access · greenAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Preventive medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 17% 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, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Medications that cause weight gain and alternatives in Canada: a narrative review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018
    Review
  7. Article
  8. 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

11 authors at 6 institutions in 2 countries.

Ikuyo ImayamaEpidemiology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA, USA.
Catherine M Alfano
Caitlin Mason
Chiachi Wang
Catherine Duggan
Kristin L Campbell
Angela Kong
Karen E Foster-Schubert
George L Blackburn
Ching-Yun Wang
Anne McTiernan
Fred Hutch Cancer Center · USUniversity of Washington · USHarvard University · USNational Institutes of Health · USUniversity of British Columbia · CAUniversity of Illinois Chicago · US

Funding

Preventing obesity in low income working adultsU54CA116847 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCTIERNAN, ANNE M. · 2005 to 2010
$12.6M
Institute for Translational Health Science (KL2)KL2RR025015 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$9.3M
UIC CANCER PREVENTION &CONTROL RESEARCH TRAINING GRANTR25CA057699 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FITZGIBBON, MARIAN L. · 1992 to 2017
$8.2M
Cancer Prevention Trng-Nutrition, Exercise &GeneticsR25CA094880 · NCI · UNIVERSITY OF WASHINGTON · PI WHITE, EMILY · 2002 to 2016
$7.3M
EXERCISE, DIET, AND SEX HORMONES IN POSTMENOPAUSAL WOMENR01CA105204 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCTIERNAN, ANNE M. · 2004 to 2008
$3.3M
CIHRNCI NIH HHS 2R25CA057699NCI NIH HHS R01 CA105204NCI NIH HHS R01 CA105204-01A1NCI NIH HHS R25 CA057699NCI NIH HHS R25 CA094880NCI NIH HHS R25CA094880NCI NIH HHS U54 CA116847NCI NIH HHS U54-CA116847NCRR NIH HHS 5KL2RR025015-03NCRR NIH HHS KL2 RR025015
6 · The paper itself

Abstract

objectiveAntidepressants may attenuate the effects of diet and exercise programs. We compared adherence and changes in body measures and biomarkers of glucose metabolism and inflammation between antidepressant users and non-users in a 12-month randomized controlled trial.

methodsOverweight or obese, postmenopausal women were assigned to: diet (10% weight loss goal, N=118); moderate-to-vigorous aerobic exercise (225 min/week, N=117); diet+exercise (N=117); and control (N=87) in Seattle, WA 2005-2009. Women using antidepressants at baseline were classified as users (N=109). ANCOVA and generalized estimating equation approaches, respectively, were used to compare adherence (exercise amount, diet session attendance, and changes in percent calorie intake from fat, cardiopulmonary fitness, and pedometer steps) and changes in body measures (weight, waist and percent body fat) and serum biomarkers (glucose, insulin, homeostasis assessment-insulin resistance, and high-sensitivity C-reactive protein) between users and non-users. An interaction term (intervention×antidepressant use) tested effect modification.

resultsThere were no differences in adherence except that diet session attendance was lower among users in the diet+exercise group (P<0.05 vs. non-users). Changes in body measures and serum biomarkers did not differ by antidepressant use (Pinteraction>0.05).

conclusionDietary weight loss and exercise improved body measures and biomarkers of glucose metabolism and inflammation independent of antidepressant use.

Indexed as

Diet, ReducingExercisePostmenopauseAntidepressive AgentsBlood GlucoseBody CompositionBody WeightCombined Modality TherapyC-Reactive ProteinDepressive DisorderEnergy MetabolismFemaleHumansInsulin ResistanceMiddle AgedObesityAntidepressive AgentsBlood GlucoseC-Reactive ProteinAntidepressantsDietExerciseObesityWeight loss intervention

Identifiers

PMID23859929
PMCPMC3800227
OpenAlexW2015276946

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.