Evidence map›Paper›PMID 42765062›Full record

ArticleObesity science & practice2026

The Weight Management Hope Scale: Initial Validation of a Measure to Assess Goal-Directed Thinking in Obesity Research and Practice.

Casey Hughes, Rajiv Rimal, Kenneth A Feder, Carol Underwood

Abstract read
In one paragraph

Article in Obesity science & practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Casey HughesDepartment of Health, Behavior, and Society Johns Hopkins University Bloomberg School of Public Health Baltimore Maryland USA.ORCID https://orcid.org/0009-0005-9230-980X
Rajiv RimalDepartment of Health, Behavior, and Society Johns Hopkins University Bloomberg School of Public Health Baltimore Maryland USA.ORCID https://orcid.org/0000-0003-1413-9305
Kenneth A FederDepartment of Mental Health Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA.
Carol UnderwoodDepartment of Health, Behavior, and Society Johns Hopkins University Bloomberg School of Public Health Baltimore Maryland USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hope is a cognitive-motivational construct associated with improved goal performance, yet it has been understudied in the domain of weight management. This study developed the Weight Management Hope Scale (WMHS) and evaluated its psychometric properties. Methods: WMHS items were developed and underwent expert review to assess content validity. A sample of 395 U.S. adults with current or former obesity and active weight loss or maintenance goals completed a cross-sectional survey including the WMHS and other validation measures. Exploratory factor analyses assessed dimensionality and guided item reduction. Internal consistency was evaluated through Cronbach alpha. Convergent and criterion validity were assessed through bivariate correlations, and incremental validity through hierarchical linear regression models. Results: Exploratory factor analysis supported a two-factor structure. The final 6-item WMHS demonstrated good internal consistency ( Conclusions: The WMHS is a brief, reliable, and valid measure of weight management hope. It holds promise for use in weight management research and practice, where understanding goal-directed thinking is critical for supporting sustained engagement and tailoring support.

Indexed as

goal pursuithope theoryobesitypsychological determinantspsychometricsweight loss

Identifiers

PMID42765062
PMCPMC13590152

What OpenQuestion holds

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Registered trials

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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.