Weight Stigma and Eating Behaviors in Young Adults across Weight Status

Cheuk Chin Fung, Man Hong Andrew Siu, Chung-Ying Lin (Corresponding Author), Po-Jui Ko, I-Ching Lin, Jung Sheng Chen, Wui Man Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Objective: This study adopted and extended the Theory of Planned Behavior (TPB) with weight-related self-stigma as a model to explain avoidance of three types of eating behaviors (EB; cognitive restraint, emotional eating, and uncontrolled eating) amongcross individuals with overweight/obesity and without overweight/obesity .
Methods: A total of 348 young adults participated in this study. A series of questionnaires was used to assess TPB factors (including attitude, subjective norm, perceived behavioral control [PBC], and intention) in relation to avoidance ing EB, weight-related self-stigma, and EB . Structural equation modeling with path invariance tests were used to assess the model.
Results: In general, subjective norm, PBC, and self-stigma were positively associated with intention to avoid EB; PBC to avoid EB was negatively associated with EB; however, intention to avoid EB and self-stigma were positively associated with EB. In addition, path invariance between the non-overweight/obese and overweight/obese groups was not supported. In the overweight/obese group, weight-related self-stigma had a greater impact on PBC.
Conclusion: The extended TPB model successfully explained the intention to avoid EB and the negative effect caused by weight-related self-stigma. However, the intention-behavior gap emerged from our results. The underlying factors that prevent people from avoiding EB should be further investigated.
Original languageEnglish
JournalAmerican Journal of Health Behavior
Volume48
Issue number3
DOIs
Publication statusPublished - 3 Jun 2024

Fingerprint

Dive into the research topics of 'Weight Stigma and Eating Behaviors in Young Adults across Weight Status'. Together they form a unique fingerprint.

Cite this