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 .
Public conceptions of mental illness: labels, causes, dangerousness, and social distance.
OBJECTIVES The authors used nationwide survey data to characterize current public conceptions related to recognition of mental illness and perceived causes , dangerousness , and desired social distance . METHODS Data were derived from a vignette experiment included in the 1996 General Social Survey .  Respondents ( n = 1444 ) were r and omly assigned to 1 of 5 vignette conditions . Four vignettes described psychiatric disorders meeting diagnostic criteria , and the fifth depicted a " troubled person " with sub clinical problems and worries . RESULTS Results indicate that the majority of the public identifies schizophrenia ( 88 % ) and major depression ( 69 % ) as mental illnesses and that most report multicausal explanations combining stressful circumstances with biologic and genetic factors . Results also show , however , that smaller proportions associate alcohol ( 49 % ) or drug ( 44 % ) abuse with mental illness and that symptoms of mental illness remain strongly connected with public fears about potential violence and with a desire for limited social interaction . CONCLUSIONS While there is reason for optimism in the public 's recognition of mental illness and causal attributions , a strong stereotype of dangerousness and desire for social distance persist . These latter conceptions are likely to negatively affect people with mental illness
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 .