Weight Bias: A Systematic Review of Characteristics and Psychometric Properties of Self-Report Questionnaires

被引:56
作者
Lacroix, Emilie [1 ]
Alberga, Angela [2 ]
Russell-Mathew, Shelly [2 ]
McLaren, Lindsay [3 ]
von Ranson, Kristin [1 ]
机构
[1] Univ Calgary, Dept Psychol, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
[2] Univ Calgary, Werklund Sch Educ, Calgary, AB, Canada
[3] Univ Calgary, Dept Community Hlth Sci, Calgary, AB, Canada
基金
加拿大健康研究院;
关键词
Weight bias; Obesity; Stigma; Systematic review; Assessment; HEALTH-PROFESSIONALS; NURSES ATTITUDES; FAT PHOBIA; OBESE; STIGMA; BELIEFS; PEOPLE; SCALE; STEREOTYPES; PREJUDICE;
D O I
10.1159/000475716
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: People living with overweight and obesity often experience weight-based stigmatization. Investigations of the prevalence and correlates of weight bias and evaluation of weight bias reduction interventions depend upon psychometrically-sound measurement. Our paper is the first to comprehensively evaluate the psychometric properties, use of people-first language within items, and suitability for use with various populations of available self-report measures of weight bias. Methods: We searched five electronic databases to identify Englishlanguage self-report questionnaires of weight bias. We rated each questionnaire's psychometric properties based on initial validation reports and subsequent use, and examined item language. Results: Our systematic review identified 40 original self-report questionnaires. Most questionnaires were brief, demonstrated adequate internal consistency, and tapped key cognitive and affective dimensions of weight bias such as stereotypes and blaming. Current psychometric evidence is incomplete for many questionnaires, particularly with regard to the properties of test-retest reliability, sensitivity to change as well as discriminant and structural validity. Most questionnaires were developed prior to debate surrounding terminology preferences, and do not employ people-first language in the items administered to participants. Conclusions: We provide information and recommendations for clinicians and researchers in selecting psychometrically sound measures of weight bias for various purposes and populations, and discuss future directions to improve measurement of this construct. (C) 2017 The Author(s) Published by S. Karger GmbH, Freiburg
引用
收藏
页码:223 / 237
页数:15
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