Eating Disorder Examination–Questionnaire and Clinical Impairment Assessment norms for intersectional identities using an MTurk sample.

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Title: Eating Disorder Examination–Questionnaire and Clinical Impairment Assessment norms for intersectional identities using an MTurk sample.
Authors: Kambanis, P. Evelyna, Bottera, Angeline R., Mancuso, Christopher J., Spoor, Samantha P., Anderson, Lisa M., Burke, Natasha L., Eddy, Kamryn T., Forbush, Kelsie T., Keith, Jill F., Lavender, Jason M., Mensinger, Janell L., Mujica, Christin, Nagata, Jason M., Perez, Marisol, De Young, Kyle P.
Source: International Journal of Eating Disorders. Dec2022, Vol. 55 Issue 12, p1690-1707. 18p. 8 Charts.
Subjects: Prevention of eating disorders, Sexual orientation, Research methodology evaluation, Research methodology, Medical screening, Quantitative research, Race, Sex distribution, Gender identity, Pathological psychology, Questionnaires, Descriptive statistics, Crowdsourcing, Ethnic groups
Abstract: Objective: There are limited data to guide the interpretation of scores on measures of eating‐disorder psychopathology among underrepresented individuals. We aimed to provide norms for the Eating Disorder Examination–Questionnaire (EDE‐Q) and Clinical Impairment Assessment (CIA) across racial/ethnic, gender, and sexual identities, and sexual orientations and their intersections by recruiting a diverse sample of Amazon MTurk workers (MTurkers; N = 1782). Method: We created a comprehensive, quantitative assessment of racial/ethnic identification, gender identification, sex assigned at birth, current sexual identification, and sexual orientation called the Demographic Assessment of Racial, Sexual, and Gender Identities (DARSGI). We calculated normative data for each demographic category response option. Results: Our sample was comprised of 68% underrepresented racial/ethnic identities, 42% underrepresented gender identities, 13% underrepresented sexes, and 49% underrepresented sexual orientations. We reported means and standard deviations for each demographic category response option and, where possible, mean estimates by percentile across intersectional groups. EDE‐Q Global Score for a subset of identities and intersections in the current study were higher than previously reported norms for those identities/intersections. Discussion: This is the most thorough reporting of norms for the EDE‐Q and CIA among racial/ethnic, sexual, and gender identities, and sexual orientations and the first reporting on multiple intersections, filling some of the gaps for commonly used measures of eating‐disorder psychopathology. These norms may be used to contextualize eating‐disorder psychopathology reported by underrepresented individuals. The data from the current study may help inform research on the prevention and treatment of eating‐disorder psychopathology in underrepresented groups. Public Significance: We provide the most thorough reporting on racial/ethnic, sexual, and gender identities, and sexual orientations for the Eating Disorder Examination – Questionnaire and Clinical Impairment Assessment, and the first reporting on intersections, which fills some of the gaps for commonly used measures of eating‐disorder psychopathology. These norms help inform research on the prevention and treatment of eating‐disorder psychopathology in underrepresented groups. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Eating Disorders is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Eating Disorder Examination–Questionnaire and Clinical Impairment Assessment norms for intersectional identities using an MTurk sample.
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  Data: <searchLink fieldCode="AR" term="%22Kambanis%2C+P%2E+Evelyna%22">Kambanis, P. Evelyna</searchLink><br /><searchLink fieldCode="AR" term="%22Bottera%2C+Angeline+R%2E%22">Bottera, Angeline R.</searchLink><br /><searchLink fieldCode="AR" term="%22Mancuso%2C+Christopher+J%2E%22">Mancuso, Christopher J.</searchLink><br /><searchLink fieldCode="AR" term="%22Spoor%2C+Samantha+P%2E%22">Spoor, Samantha P.</searchLink><br /><searchLink fieldCode="AR" term="%22Anderson%2C+Lisa+M%2E%22">Anderson, Lisa M.</searchLink><br /><searchLink fieldCode="AR" term="%22Burke%2C+Natasha+L%2E%22">Burke, Natasha L.</searchLink><br /><searchLink fieldCode="AR" term="%22Eddy%2C+Kamryn+T%2E%22">Eddy, Kamryn T.</searchLink><br /><searchLink fieldCode="AR" term="%22Forbush%2C+Kelsie+T%2E%22">Forbush, Kelsie T.</searchLink><br /><searchLink fieldCode="AR" term="%22Keith%2C+Jill+F%2E%22">Keith, Jill F.</searchLink><br /><searchLink fieldCode="AR" term="%22Lavender%2C+Jason+M%2E%22">Lavender, Jason M.</searchLink><br /><searchLink fieldCode="AR" term="%22Mensinger%2C+Janell+L%2E%22">Mensinger, Janell L.</searchLink><br /><searchLink fieldCode="AR" term="%22Mujica%2C+Christin%22">Mujica, Christin</searchLink><br /><searchLink fieldCode="AR" term="%22Nagata%2C+Jason+M%2E%22">Nagata, Jason M.</searchLink><br /><searchLink fieldCode="AR" term="%22Perez%2C+Marisol%22">Perez, Marisol</searchLink><br /><searchLink fieldCode="AR" term="%22De+Young%2C+Kyle+P%2E%22">De Young, Kyle P.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Eating+Disorders%22">International Journal of Eating Disorders</searchLink>. Dec2022, Vol. 55 Issue 12, p1690-1707. 18p. 8 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Prevention+of+eating+disorders%22">Prevention of eating disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Sexual+orientation%22">Sexual orientation</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology+evaluation%22">Research methodology evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+screening%22">Medical screening</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+identity%22">Gender identity</searchLink><br /><searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Crowdsourcing%22">Crowdsourcing</searchLink><br /><searchLink fieldCode="DE" term="%22Ethnic+groups%22">Ethnic groups</searchLink>
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  Label: Abstract
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  Data: Objective: There are limited data to guide the interpretation of scores on measures of eating‐disorder psychopathology among underrepresented individuals. We aimed to provide norms for the Eating Disorder Examination–Questionnaire (EDE‐Q) and Clinical Impairment Assessment (CIA) across racial/ethnic, gender, and sexual identities, and sexual orientations and their intersections by recruiting a diverse sample of Amazon MTurk workers (MTurkers; N = 1782). Method: We created a comprehensive, quantitative assessment of racial/ethnic identification, gender identification, sex assigned at birth, current sexual identification, and sexual orientation called the Demographic Assessment of Racial, Sexual, and Gender Identities (DARSGI). We calculated normative data for each demographic category response option. Results: Our sample was comprised of 68% underrepresented racial/ethnic identities, 42% underrepresented gender identities, 13% underrepresented sexes, and 49% underrepresented sexual orientations. We reported means and standard deviations for each demographic category response option and, where possible, mean estimates by percentile across intersectional groups. EDE‐Q Global Score for a subset of identities and intersections in the current study were higher than previously reported norms for those identities/intersections. Discussion: This is the most thorough reporting of norms for the EDE‐Q and CIA among racial/ethnic, sexual, and gender identities, and sexual orientations and the first reporting on multiple intersections, filling some of the gaps for commonly used measures of eating‐disorder psychopathology. These norms may be used to contextualize eating‐disorder psychopathology reported by underrepresented individuals. The data from the current study may help inform research on the prevention and treatment of eating‐disorder psychopathology in underrepresented groups. Public Significance: We provide the most thorough reporting on racial/ethnic, sexual, and gender identities, and sexual orientations for the Eating Disorder Examination – Questionnaire and Clinical Impairment Assessment, and the first reporting on intersections, which fills some of the gaps for commonly used measures of eating‐disorder psychopathology. These norms help inform research on the prevention and treatment of eating‐disorder psychopathology in underrepresented groups. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Eating Disorders is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/eat.23799
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Crowdsourcing
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      – SubjectFull: Ethnic groups
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