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Abstract

<jats:p>&lt;p dir="ltr"&gt;&lt;b&gt;OBJECTIVE&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;Given the need for equitable screening tools for disordered eating behaviors (DEBs) in youth with type 1 diabetes (T1D), the present study sought to 1) assess the factor structure and model fit of the mSCOFF screener among Black and White youth with T1D and 2) assess systematic item bias in the mSCOFF as a function of HbA1c, race, and sex assigned at birth.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;RESEARCH DESIGN AND METHODS&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;A total of 130 youth (ages 10–18; 54% female; 57% Black; M HbA1c = 10.89%, SD = 2.25%) with T1D completed the mSCOFF screener for DEBs. Patient sex assigned at birth, race, HbA1c levels, and screener responses were obtained from medical records. Confirmatory factor analysis (CFA) and differential item functioning (DIF) analyses were used to examine item response bias across patient demographics and HbA1c.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;RESULTS&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;Analyses confirmed non-uniform DIF across most mSCOFF items, resulting in biased screening when established cutoffs were used and suggesting that items do not consistently measure DEBs across intersections of race, sex assigned at birth, and HbA1c.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;CONCLUSIONS&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;These findings underscore the importance of using equitable, unbiased screeners to accurately identify youth with T1D who endorse DEBs. To support accurate risk assessment and early intervention, providers should interpret mSCOFF scores with caution, particularly in racially diverse populations.&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Article Highlights&lt;/b&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;b&gt;Why did we undertake this study?&lt;/b&gt; We undertook this study because screening for disordered eating behaviors in youth with type 1 diabetes should work equally well for all patients.&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;b&gt;What is the specific question(s) we wanted to answer?&lt;/b&gt; We asked whether the mSCOFF questions and common cutoffs flag patients differently by race, sex assigned at birth, and HbA1c, even at the same underlying risk.&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;b&gt;What did we find?&lt;/b&gt; We found that at the same levels of severity, answer patterns differed across groups for all five questions, leading to different chances of screening positive under both 1+ and 2+ rules.&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;· &lt;b&gt;What are the implications of our findings?&lt;/b&gt; The mSCOFF may over- or under-identify risk for some groups, so clinics should interpret results cautiously and improve scoring and/or revise items.&lt;/p&gt;</jats:p>

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mscoff youth screening debs hba1c

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