Evidence map›Paper›PMID 32313673›Full record

ArticleObesity science & practice2020

Psychological and weight history variables as predictors of short-term weight and body fat mass loss.

Sharmin Akter, John A Dawson, Chanaka N Kahathuduwa, Shao-Hua Chin, Martin Binks

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity science & practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Sharmin AkterDepartment of Nutritional Sciences Texas Tech University Lubbock Texas.ORCID https://orcid.org/0000-0002-2880-7135
John A DawsonDepartment of Nutritional Sciences Texas Tech University Lubbock Texas.
Chanaka N KahathuduwaPhysician Assistant Program Midland Texas Tech University Health Sciences Center Lubbock Texas.
Shao-Hua ChinDepartment of Nutritional Sciences Texas Tech University Lubbock Texas.
Martin BinksDepartment of Nutritional Sciences Texas Tech University Lubbock Texas.
Texas Tech University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIdentifying predictors of early weight loss may have value in predicting longer-term success in weight loss programmes. This study examined if weight history variables (ie, weight cycling history [WCH], age of onset of obesity [AOO]), and preintervention Three-Factor Eating Questionnaire (TFEQ) and Power of Food Scale (PFS) scores predicted weight loss (WL) and fat mass loss (FML) following a 3-week calorie restriction intervention.

methodsThirty-two participants (19-60 y; body mass index [BMI] 30-39.9 kg/m

resultsWCH, AOO, preintervention TFEQ subscale scores, and PFS subscale scores did not predict WL (all

conclusionAlthough these variables were not robust predictors, results for at least the PFS suggest there may be value in further exploring this measure using larger sample sizes.

Indexed as

obesityPower of Food ScaleThree Factor Eating Questionnaireweight loss

Identifiers

PMID32313673
PMCPMC7156839
OpenAlexW2990532026

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.