Most question naires were brief , demonstrated adequate internal consistency , and tapped key cognitive and affective dimensions of weight bias such as stereotypes and blaming .
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 population s of available self-report measures of weight bias .
Beyond personal responsibility: Effects of causal attributions for overweight and obesity on weight-related beliefs, stigma, and policy support
Objective : The objective of this research was to compare the effects of different causal attributions for overweight and obesity , among individuals with overweight and obesity , on weight-related beliefs , stigmatising attitudes and policy support . Design : In Study 1 , an online sample of 95 US adults rated the extent to which they believed various factors caused their own weight status . In Study 2 , 125 US adults  read one of three r and omly assigned online passages attributing obesity to personal responsibility , biology , or the ‘ food environment . ’  All participants in both studies were overweight or obese . Main outcome measures : All participants reported beliefs about weight loss , weight-stigmatising attitudes , and support for obesity-related policies . Results : In Study 1 , biological attributions were associated with low weight-malleability beliefs and blame , high policy support , but high internalised weight bias . ‘ Food environment ’ attributions were not associated with any outcomes , while ‘ personal responsibility ’ attributions were associated with high prejudice and blame . In Study 2 , participants who received information about the food environment reported greater support for food-related policies and greater self-efficacy to lose weight . Conclusion : Emphasising the role of the food environment in causing obesity may promote food policy support and health behaviours without imposing the negative consequences associated with other attributions
Most question naires were brief , demonstrated adequate internal consistency , and tapped key cognitive and affective dimensions of weight bias such as stereotypes and blaming .
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 population s of available self-report measures of weight bias .