Evidence map›Paper›PMID 31174214›Full record

ArticleThe Journal of nutrition2019

Fiber Intake Predicts Weight Loss and Dietary Adherence in Adults Consuming Calorie-Restricted Diets: The POUNDS Lost (Preventing Overweight Using Novel Dietary Strategies) Study.

Derek C Miketinas, George A Bray, Robbie A Beyl, Donna H Ryan, Frank M Sacks, Catherine M Champagne

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00072995 (Preventing Overweight Using Novel Dietary Strategies), which is not on this map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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.

NCT00072995 nacompletednot on this map

Preventing Overweight Using Novel Dietary Strategies (Pounds Lost)

TypeinterventionalSponsorBrigham and Women's HospitalRan2003 to 2007Enrolled811ConditionsCardiovascular Diseases, Heart Diseases, ObesityArmsFour Diets Differing in Macronutrient Composition, Diets Low in Saturated Fat
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

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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.

Derek C MiketinasDepartment of Nutrition and Food Sciences, Texas Woman's University, Houston, TX, USA.
George A BrayPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Robbie A BeylPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Donna H RyanPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Frank M SacksHarvard TH Chan School of Public Health, Boston, MA, USA.
Catherine M ChampagnePennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Pennington Biomedical Research Center · USHarvard University · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

backgroundThe effects of dietary composition on weight loss are incompletely understood. In addition to energy intake, fiber intake, energy density, macronutrient composition, and demographic characteristics have all been suggested to contribute to weight loss.

objectiveThe primary aim of this analysis was to assess the role of dietary fiber as a predictor of weight loss in participants who consumed calorie-restricted diets (-750 kcal/d from estimated energy needs) for 6 mo, using data from the POUNDS Lost (Preventing Overweight Using Novel Dietary Strategies) Study-a randomized trial that examined the effects of calorie-restricted diets varying in macronutrient composition on weight loss in adults.

methodsData were randomly partitioned to a training data set (70%) in which the effects of fiber and other weight-loss predictors were identified using adjusted Least Absolute Shrinkage and Selection Operator and model averaging. The retained predictors were then fit on the testing data set to assess predictive performance.

resultsThree hundred and forty-five participants (53.9% female) provided dietary records at baseline and 6 mo. Mean ± SD age and BMI for the full sample was 52.5 ± 8.7 y and 32.6 ± 3.9 kg/m2, respectively. Mean ± SD (99% CI) weight change at 6 mo for the full sample was -7.27 ± 5.6 kg (-8.05, -6.48 kg). The final, best fit model (R2 = 0.41) included fiber, energy density, fat, age, adherence, baseline weight, race, and changes from baseline in carbohydrate, fiber, PUFA, and MUFA intake, but the most influential predictor was fiber intake ($\hat{\beta }$ = -0.37; P < 0.0001). In addition, fiber was strongly associated with adherence to the macronutrient prescriptions (P < 0.0001). Interactions between race and adherence, age, baseline weight, carbohydrate, energy density, and MUFAs were also retained in the final model.

conclusionDietary fiber intake, independently of macronutrient and caloric intake, promotes weight loss and dietary adherence in adults with overweight or obesity consuming a calorie-restricted diet. This trial was registered at clinicaltrials.gov as NCT00072995.

Indexed as

Caloric RestrictionAdultDietary FiberFemaleHumansMaleMiddle AgedOverweightPatient ComplianceWeight LossDietary Fiberdietary adherenceenergy densityfiberLASSOobesityweight loss

Identifiers

PMID31174214
PMCPMC6768815
OpenAlexW2977815721

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.