Evidence map›Paper›PMID 25149197›Full record

Trial reportAppetite2014

Factors associated with choice of a low-fat or low-carbohydrate diet during a behavioral weight loss intervention.

Megan A McVay, Corrine I Voils, Cynthia J Coffman, Paula J Geiselman, Ronette L Kolotkin, Stephanie B Mayer, Valerie A Smith, Leslie Gaillard, Marsha J Turner, William S Yancy

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Appetite, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01152359 (Considering Patient Diet Preference to Optimize Weight Loss), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

NCT01152359 nacompletednot on this map

Considering Patient Diet Preference to Optimize Weight Loss

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2011 to 2013Enrolled207ConditionsObesityArmsChoice, Control
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Should carbohydrate-modified diets be the first option for weight loss in people with impaired glucose metabolism? A scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2024
    Article
  4. Article
  5. Article
  6. 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

10 authors.

Megan A McVayCenter for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27701 USA.. Electronic address: megan.mcvay@duke.edu.
Corrine I VoilsCenter for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27701 USA.
Cynthia J CoffmanCenter for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27701 USA.
Paula J GeiselmanPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA; Department of Psychology, Louisiana State University, 6400 Perkins Road, Baton Rouge, LA, USA.
Ronette L KolotkinQuality of Life Consulting, Durham, NC, USA; Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA; Department of Health Studies, Sogn og Fjordane University College, Førde, Norway; Department of Surgery, Førde Central Hospital, Førde, Norway; Morbid Obesity Centre, Vestfold Hospital Trust, Tønsberg, Norway.
Stephanie B MayerDivision of Endocrinology and Metabolism, Department of Medicine, Virginia Commonwealth University, Richmond, VA 23284, USA.
Valerie A SmithCenter for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA.
Leslie GaillardCenter for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA.
Marsha J TurnerCenter for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA.
William S YancyCenter for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27701 USA.

Funding

HEALTH SERVICES RESEARCH FELLOWSHIPT32HS000079 · AHRQ · DUKE UNIVERSITY · PI EDELMAN, DAVID · 1998 to 2013
$1.9M
Considering Patient Diet Preference to Optimize Weight LossI01HX000263 · VA · DURHAM VA MEDICAL CENTER · PI YANCY, WILLIAM S. · 2011 to 2013
–
AHRQ HHS T32 HS000079AHRQ HHS T32 HS00079HSRD VA I01 HX000263
6 · The paper itself

Abstract

Individuals undertaking a weight loss effort have a choice among proven dietary approaches. Factors contributing to choice of either a low-fat/low-calorie diet or a low-carbohydrate diet, two of the most studied and popular dietary approaches, are unknown. The current study used data from participants randomized to the 'choice' arm of a trial examining whether being able to choose a diet regimen yields higher weight loss than being randomly assigned to a diet. At study entry, participants attended a group session during which they were provided tailored feedback indicating which diet was most consistent with their food preferences using the Geiselman Food Preference Questionnaire (FPQ), information about both diets, and example meals for each diet. One week later, they indicated which diet they chose to follow during the 48-week study, with the option of switching diets after 12 weeks. Of 105 choice arm participants, 44 (42%) chose the low-fat/low-calorie diet and 61 (58%) chose the low-carbohydrate diet. In bivariate analyses, diet choice was not associated with age, race, sex, education, BMI, or diabetes (all p > 0.05). Low-carbohydrate diet choice was associated with baseline higher percent fat intake (p = 0.007), lower percent carbohydrate intake (p = 0.02), and food preferences consistent with a low-carbohydrate diet according to FPQ (p < 0.0001). In a multivariable logistic regression model, only FPQ diet preference was associated with diet choice (p = 0.001). Reported reasons for diet choice were generally similar for those choosing either diet; however, concerns about negative health effects of the unselected diet was rated as more influential among participants selecting the low-fat diet. Only three low-carbohydrate and two low-fat diet participants switched diets at 12 weeks. Results suggest that when provided a choice between two popular weight loss dietary approaches, an individual's selection is likely influenced by baseline dietary intake pattern, and especially by his or her dietary preferences. Research is needed to determine if congruency between food preferences and dietary approach is associated with weight loss.

Indexed as

Caloric RestrictionChoice BehaviorDiet, Carbohydrate-RestrictedDiet, Fat-RestrictedFood PreferencesWeight LossAdultAgedBehavior TherapyBody Mass IndexDietary CarbohydratesDietary FatsDiet, ReducingEnergy IntakeFeeding BehaviorFemaleDietary CarbohydratesDietary FatsCarbohydrate-restrictedChoice behaviorDietFat-restricted

Identifiers

PMID25149197
PMCPMC4861996

What OpenQuestion holds

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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.