This study assessed the factor structure of a novel self-report measure of weight- and shape-based social identity threat vulnerability, Social Identities and Attitudes Scale-Weight and Body Shape (SIAS-WBS). Weight and race diverse young adults (N = 542; M_age=21.69 +2.32; 69% ciswomen) were recruited from Amazon Mechanical Turk and a university participant pool. Exploratory and confirmatory factor analyses, measurement invariance, internal consistency, convergent validity, and test-retest reliability were conducted. The SIAS-WBS had acceptable factor structure with 15 subscales that were invariant across race, ethnicity, gender, weight perception, and CDC-defined weight groups. The measure demonstrated high internal consistency, convergent validity, and good test-retest reliability. Subscales were Weight & Shape Identification (Influence and Centrality), Weight & Shape Stigma Consciousness, six identification and six negative affect factors across the domains of: Social, Familial, Romantic, Intellectual, Physical Activity, and Physical Attractiveness. Participants in higher weight groups who perceived themselves as lower weight status, reported lower Weight & Shape Identification-Influence (p = 0.02) and lower Stigma Consciousness (p = 0.01), relative to those perceiving themselves as higher weight status. Participants perceiving themselves as higher weight status endorsed lower Physical Activity Identification (p < 0.001) and more negative affect across all domains (p’s < 0.02). This suggests that weight misperceivers may be less susceptible to weight-based identity threat.

本研究评估了基于体重和体型的社会认同威胁脆弱性、社会认同和态度量表-体重和体型 (SIAS-WBS) 的新型自我报告测量的因子结构。体重和种族不同的年轻人（N = 542；M_年龄=21.69 +2.32；69% 的顺式女性）是从 Amazon Mechanical Turk 和大学参与者库中招募的。进行了探索性和验证性因素分析、测量不变性、内部一致性、收敛效度和重测信度。SIAS-WBS 具有可接受的因子结构，包含 15 个分量表，这些分量表在种族、民族、性别、体重感知和 CDC 定义的体重组之间保持不变。该测量显示出较高的内部一致性、收敛效度和良好的重测信度。分量表是体重和体型识别（影响和中心性）、体重和体型耻辱意识、六个识别和六个负面影响因素，涵盖以下领域：社会、家庭、浪漫、智力、体育活动和身体吸引力。p  = 0.02）和较低的耻辱意识（p  = 0.01），相对于那些认为自己是较高体重状态的人。认为自己体重较高的参与者认可较低的身体活动识别（p  < 0.001）和所有领域的负面影响（p < 0.02）。这表明体重错误感知者可能不太容易受到基于体重的身份威胁。