Hoffman Rebecca K, Post Stacy M, Dodge Tonya, Stock Michelle L
Pacific Institute for Research and Evaluation, Beltsville, MD, USA.
Department of Psychological and Brain Sciences, The George Washington University, Washington, DC, USA.
Am J Health Promot. 2025 Mar;39(3):388-393. doi: 10.1177/08901171241284551. Epub 2024 Oct 8.
To test the assumption that person-first language (PFL) reduces obesity stigma, mediated by perceived personal responsibility for obesity.
Cross-sectional, experimental.
Online, United States.
299 young adults.
Participants read a vignette using PFL or identity-first language (IFL) or about someone without obesity. Participants reported perceived personal responsibility for obesity, and 3 operationalizations of obesity stigma: prejudice, stereotypes, and support for punitive policies. Mediation analyses were used to test if the manipulation affected obesity stigma, through perceived personal responsibility.
There was no indirect effect of PFL vs IFL on the 3 outcomes (95% CIs contained zero). However, the indirect effects of PFL vs no-obesity condition were significant (prejudice: = -0.10, = 0.05, 95% CI [-0.22, -0.01]; stereotypes: ( = 0.07, = 0.03, 95% CI [0.01, 0.14]); punitive punishment: ( = -0.06, = 0.04, 95% CI [-0.15, -0.01]). Also, the indirect effects of IFL vs no-obesity condition on stereotypes ( = 0.07, = 0.04, 95% CI [0.0003, 0.15]) and punitive punishment ( = -0.06, = 0.04, 95% CI [-0.15, -0.0002]) were significant.
PFL may not affect obesity stigma as it does in the context of other marginalized groups. The effect of PFL and IFL, compared to the no-obesity condition, suggests future routes for intervention.
检验以下假设，即以人为本的语言（PFL）通过对肥胖的个人责任感来减轻肥胖污名。
横断面实验。
美国在线。
299名年轻人。
参与者阅读一篇使用以人为本的语言（PFL）或身份优先语言（IFL）撰写的关于非肥胖者的短文。参与者报告对肥胖的个人责任感以及肥胖污名的三种操作化指标：偏见、刻板印象和对惩罚性政策的支持。中介分析用于检验这种操纵是否通过感知到的个人责任感影响肥胖污名。
PFL与IFL对三种结果均无间接影响（95%置信区间包含零）。然而，PFL与非肥胖情况相比的间接影响是显著的（偏见：β = -0.10，SE = 0.05，95%置信区间[-0.22，-0.01]；刻板印象：β = 0.07，SE = 0.03，95%置信区间[0.01，0.14]）；惩罚性惩罚：β = -0.06，SE = 0.04，95%置信区间[-0.15，-0.01]）。此外，IFL与非肥胖情况相比，对刻板印象（β = 0.07，SE = 0.04，95%置信区间[0.0003，0.15]）和惩罚性惩罚（β = -0.06，SE = 0.04，95%置信区间[-0.15，-0.0002]）的间接影响是显著的。
以人为本的语言（PFL）可能不像在其他边缘化群体背景下那样影响肥胖污名。与非肥胖情况相比，以人为本的语言（PFL）和身份优先语言（IFL）的影响为未来的干预途径提供了方向。
