Evidence map›Paper›PMID 25323965›Full record

SynthesisInternational journal of obesity (2005)2015

Predicting adult weight change in the real world: a systematic review and meta-analysis accounting for compensatory changes in energy intake or expenditure.

E J Dhurandhar, K A Kaiser, J A Dawson, A S Alcorn, K D Keating, D B Allison

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in International journal of obesity (2005), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Article
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  12. Obesogens: a unifying theory for the global rise in obesity.International journal of obesity (2005) · 2024
    Review
  13. Article
  14. Consistent exercise timing as a strategy to increase physical activity: A feasibility study.Translational journal of the American College of Sports Medicine · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Effects of the Strong Hearts, Healthy Communities Intervention on Functional Fitness of Rural Women.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2020
    Article
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  20. 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

6 authors.

E J Dhurandhar1] Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA [2] Department of Health Behavior, University of Alabama at Birmingham, Birmingham, AL, USA [3] Office of Energetics, University of Alabama at Birmingham, Birmingham, AL, USA.
K A Kaiser1] Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA [2] Office of Energetics, University of Alabama at Birmingham, Birmingham, AL, USA [3] School of Public Health, Dean's Office, University of Alabama at Birmingham, Birmingham, AL, USA.
J A DawsonOffice of Energetics, University of Alabama at Birmingham, Birmingham, AL, USA.
A S AlcornOffice of Energetics, University of Alabama at Birmingham, Birmingham, AL, USA.
K D Keating1] Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA [2] Department of Statistics, Kansas State University, Manhattan, KS, USA.
D B Allison1] Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA [2] Office of Energetics, University of Alabama at Birmingham, Birmingham, AL, USA [3] School of Public Health, Dean's Office, University of Alabama at Birmingham, Birmingham, AL, USA.

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 Gareth R Dutton · 2000 to 2026
$31.9M
UAB Obesity Training ProgramT32DK062710 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill, Brooks C Wingo · 2004 to 2026
$5.5M
UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
NHLBI NIH HHS T32 HL072757NIDDK NIH HHS P30 DK056336NIDDK NIH HHS T32 DK062710
6 · The paper itself

Abstract

backgroundPublic health and clinical interventions for obesity in free-living adults may be diminished by individual compensation for the intervention. Approaches to predict weight outcomes do not account for all mechanisms of compensation, so they are not well suited to predict outcomes in free-living adults. Our objective was to quantify the range of compensation in energy intake or expenditure observed in human randomized controlled trials (RCTs).

methodsWe searched multiple databases (PubMed, CINAHL, SCOPUS, Cochrane, ProQuest, PsycInfo) up to 1 August 2012 for RCTs evaluating the effect of dietary and/or physical activity interventions on body weight/composition. INCLUSION CRITERIA: subjects per treatment arm ≥5; ≥1 week intervention; a reported outcome of body weight/body composition; the intervention was either a prescribed amount of over- or underfeeding and/or supervised or monitored physical activity was prescribed; ≥80% compliance; and an objective method was used to verify compliance with the intervention (for example, observation and electronic monitoring). Data were independently extracted and analyzed by multiple reviewers with consensus reached by discussion. We compared observed weight change with predicted weight change using two models that predict weight change accounting only for metabolic compensation.

findingsTwenty-eight studies met inclusion criteria. Overfeeding studies indicate 96% less weight gain than expected if no compensation occurred. Dietary restriction and exercise studies may result in up to 12-44% and 55-64% less weight loss than expected, respectively, under an assumption of no behavioral compensation.

interpretationCompensation is substantial even in high-compliance conditions, resulting in far less weight change than would be expected. The simple algorithm we report allows for more realistic predictions of intervention effects in free-living populations by accounting for the significant compensation that occurs.

Indexed as

Public HealthAdultAlgorithmsEnergy IntakeEnergy MetabolismHumansObesityPredictive Value of TestsRandomized Controlled Trials as TopicWeight Loss

Identifiers

PMID25323965
PMCPMC4516704

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.