Evidence map›Paper›PMID 39143295›Full record

ArticleInternational journal of obesity (2005)2024

The Modified Weight Bias Internalization Scale: measurement invariance by weight status and race among undergraduate women.

Kaitlin N Rozzell-Voss, Rachel D Marshall, Chung-Ying Lin, Janet D Latner

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Article in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Kaitlin N Rozzell-VossDepartment of Psychology, University of Hawai'i at Manoa, Honolulu, HI, USA. krozzell@hawaii.edu.ORCID 0000-0002-7386-3689
Rachel D MarshallDepartment of Psychology, University of Hawai'i at Manoa, Honolulu, HI, USA.
Chung-Ying LinInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-2129-4242
Janet D LatnerDepartment of Psychology, University of Hawai'i at Manoa, Honolulu, HI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternalized weight bias is the belief in negative, weight-based stereotypes and the application of these stereotypes to oneself. These negative stereotypes have harmful impacts on people with overweight/obesity, and weight-based discrimination is well-documented across a variety of settings. Given poor outcomes associated with internalized weight bias, particularly among individuals with obesity, it is necessary to validate measures assessing internalized weight bias among diverse samples. The present study sets out to investigate measurement invariance properties across weight status (women with vs. without overweight/obesity) and race (White vs. Asian; White vs. bi- or multi-racial) of the Modified Weight Bias Internalization Scale (WBIS-M), an 11 item self-report measure.

methodsParticipants were 746 racially/ethnically diverse women across the weight spectrum (24.9% with overweight/obesity). Confirmatory factor analyses of the WBIS-M were initially performed among the full sample, and all sub-samples. Each model showed good to excellent descriptive model fit. Subsequent analyses examined factor loadings and item thresholds of the WBIS-M to assess metric, threshold, and scalar invariance. Invariance was determined by assessing changes in Comparative Fit Index (ΔCFI

resultsBased on these previously established statistical cutoffs, the WBIS-M showed invariance across weight status and racial groups in the present sample. The current results lend support for use of the WBIS-M to measure internalized weight bias in women who do and do not have overweight/obesity, and among White, Asian, and bi- or multi-racial women.

conclusionThis may inform future studies that wish to utilize the WBIS-M, such as investigations of mean level differences in internalized weight bias. These findings may have clinical applications in the treatment and prevention of obesity, given the heightened levels of internalized weight bias and weight-based discrimination faced by individuals with higher body weights.

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Body WeightStudentsWeight PrejudiceAdolescentAdultAsianBody ImageFemaleHumansObesityPsychometricsReproducibility of ResultsSelf ConceptStereotypingSurveys and QuestionnairesUniversities

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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.