Evidence map›Paper›PMID 22575038›Full record

Trial reportNutrition research (New York, N.Y.)2012

Adoption of diet-related self-monitoring behaviors varies by race/ethnicity, education, and baseline binge eating score among overweight-to-obese postmenopausal women in a 12-month dietary weight loss intervention.

Angela Kong, Shirley A A Beresford, Ikuyo Imayama, Catherine Duggan, Catherine M Alfano, Karen E Foster-Schubert, Marian L Neuhouser, Donna B Johnson, Ching-Yun Wang, Liren Xiao and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrition research (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

12 authors.

Angela KongCancer Education and Career Development Program, University of Illinois at Chicago, Chicago, IL 60608, USA.
Shirley A A Beresford
Ikuyo Imayama
Catherine Duggan
Catherine M Alfano
Karen E Foster-Schubert
Marian L Neuhouser
Donna B Johnson
Ching-Yun Wang
Liren Xiao
Carolyn E Bain
Anne McTiernan

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Thomas James Lynch · 1985 to 2026
$296.4M
Preventing obesity in low income working adultsU54CA116847 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCTIERNAN, ANNE M. · 2005 to 2010
$12.6M
Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI CURRAN, SARA R. · 2002 to 2016
$9.3M
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
NCI NIH HHS 2R25CA057699NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA105204NCI NIH HHS R25 CA057699NCI NIH HHS R25 CA094880NCI NIH HHS U54 CA116847NCRR NIH HHS 5 KL2 RR025015-03NCRR NIH HHS KL2 RR025015NICHD NIH HHS R24 HD042828
6 · The paper itself

Abstract

Recent research has identified self-monitoring behaviors as important strategies for both initial weight loss and weight loss maintenance, but relatively little is known about adopters and nonadopters of these behaviors. To test our hypothesis that key characteristics distinguish adopters from nonadopters, we examined the demographic characteristics and eating behaviors (eg, restrained, uncontrolled, emotional, and binge eating) associated with more frequent compared with less frequent use of these behaviors. Baseline demographic characteristics and eating behaviors as well as 12-month self-monitoring behaviors (ie, self-weighing, food journaling, monitoring energy intake) were assessed in 123 postmenopausal women enrolled in a dietary weight loss intervention. Logistic regression models were used to test associations of self-monitoring use with demographic characteristics and eating behaviors. Nonwhites, compared with non-Hispanic whites, were less likely to monitor energy intake regularly (adjusted odds ratio [OR], 0.36; 95% confidence interval [CI], 0.13-0.97; P < .05), controlling for intervention arm and baseline body mass index. Participants with a college degree or higher education were less likely to self-weigh daily (adjusted OR, 0.30; 95% CI, 0.13-0.67; P < .01) compared with individuals who attended some college or less. Those with higher baseline binge eating scores were less likely to monitor energy intake (adjusted OR, 0.84; 95% CI, 0.73-0.97; P < .01) compared with participants with lower binge eating scores. In summary, use of diet-related self-monitoring behaviors varied by race/ethnicity, education, and binge eating score in postmenopausal women who completed a year-long dietary weight loss intervention. Improved recognition of groups less likely to self-monitor may be helpful in promoting these behaviors in future interventions.

Indexed as

DietPostmenopauseBody Mass IndexBulimiaDiet, ReducingEducational StatusEnergy IntakeEthnicityExerciseFeeding BehaviorFemaleHealth Knowledge, Attitudes, PracticeHumansLife StyleLogistic ModelsMiddle Aged

Identifiers

PMID22575038
PMCPMC3350640

What OpenQuestion holds

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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.