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The Association of Levels of Food Insecurity and Disordered Eating Behaviors Among Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study.

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Title: The Association of Levels of Food Insecurity and Disordered Eating Behaviors Among Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study.
Authors: Julceus, Emmanuel F., Liese, Angela D., Alfalki, Ali M., Brown, Andrea D., Pihoker, Catherine, Qu, Pingping, Malik, Faisal S., Jones‐Smith, Jessica C., Crow, Scott, Loots, Beth, Reboussin, Beth A., Dolan, Lawrence M., Igudesman, Daria, Sauder, Katherine A., Shapiro, Allison L. B., Turley, Christine B., Mendoza, Jason A.
Source: International Journal of Eating Disorders. Jun2025, Vol. 58 Issue 6, p1039-1047. 9p.
Subjects: Type 1 diabetes, Risk assessment, Cross-sectional method, Social determinants of health, Statistical significance, Research funding, Food security, Multiple regression analysis, Questionnaires, Multivariate analysis, Descriptive statistics, Eating disorders, Type 2 diabetes, Confidence intervals, Health equity, Data analysis software, Disease complications, Adolescence, Adults
Abstract: Objective: To examine the relationship between levels of household food insecurity and disordered eating behaviors (DEB) among youth and young adults with youth‐onset type 1 (T1D) and type 2 diabetes (T2D). Method: We used cross‐sectional data from the multicenter SEARCH for Diabetes in Youth Study (2015–2020). The Household Food Security Survey Module and the Diabetes Eating Problem Survey‐Revised (DEPS‐R) were utilized to measure household food insecurity and continuous scores for DEB. In each stratum of diabetes type, we evaluated the association of household food insecurity levels with DEB through linear regression adjusting for potential confounders. Results: Participants (n = 2669) were on average 21.5 ± 5.1 years old and had a mean diabetes duration of 11.2 ± 3.3 years; 54.2% were female, 64.0% non‐Hispanic white, and respectively 12.9%, 11.1%, and 8.43% experienced marginal, low, and very low food security. The overall unadjusted mean DEPS‐R score was 13.5 ± 9.5, with scores of 18.6 ± 11.8 and 21.1 ± 11.7 among T1D and T2D participants with very low food security, and scores of 11.5 ± 8.9 and 15.2 ± 8.8 among T1D and T2D participants with high food security. Compared to participants who reported high food security, adjusted DEPS‐R scores among those with very low food security were 5.8 points (95% CI: 4.3, 7.4) and 6.6 points (95% CI: 3.3, 9.2) higher, respectively, in those with T1D (n = 2274) and T2D (n = 395). Less severe levels of household food insecurity showed similar associations with smaller effect sizes. Discussion: Addressing household food insecurity may decrease DEB and future adverse health outcomes for youth and young adults with diabetes. [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: The Association of Levels of Food Insecurity and Disordered Eating Behaviors Among Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study.
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  Data: <searchLink fieldCode="AR" term="%22Julceus%2C+Emmanuel+F%2E%22">Julceus, Emmanuel F.</searchLink><br /><searchLink fieldCode="AR" term="%22Liese%2C+Angela+D%2E%22">Liese, Angela D.</searchLink><br /><searchLink fieldCode="AR" term="%22Alfalki%2C+Ali+M%2E%22">Alfalki, Ali M.</searchLink><br /><searchLink fieldCode="AR" term="%22Brown%2C+Andrea+D%2E%22">Brown, Andrea D.</searchLink><br /><searchLink fieldCode="AR" term="%22Pihoker%2C+Catherine%22">Pihoker, Catherine</searchLink><br /><searchLink fieldCode="AR" term="%22Qu%2C+Pingping%22">Qu, Pingping</searchLink><br /><searchLink fieldCode="AR" term="%22Malik%2C+Faisal+S%2E%22">Malik, Faisal S.</searchLink><br /><searchLink fieldCode="AR" term="%22Jones‐Smith%2C+Jessica+C%2E%22">Jones‐Smith, Jessica C.</searchLink><br /><searchLink fieldCode="AR" term="%22Crow%2C+Scott%22">Crow, Scott</searchLink><br /><searchLink fieldCode="AR" term="%22Loots%2C+Beth%22">Loots, Beth</searchLink><br /><searchLink fieldCode="AR" term="%22Reboussin%2C+Beth+A%2E%22">Reboussin, Beth A.</searchLink><br /><searchLink fieldCode="AR" term="%22Dolan%2C+Lawrence+M%2E%22">Dolan, Lawrence M.</searchLink><br /><searchLink fieldCode="AR" term="%22Igudesman%2C+Daria%22">Igudesman, Daria</searchLink><br /><searchLink fieldCode="AR" term="%22Sauder%2C+Katherine+A%2E%22">Sauder, Katherine A.</searchLink><br /><searchLink fieldCode="AR" term="%22Shapiro%2C+Allison+L%2E+B%2E%22">Shapiro, Allison L. B.</searchLink><br /><searchLink fieldCode="AR" term="%22Turley%2C+Christine+B%2E%22">Turley, Christine B.</searchLink><br /><searchLink fieldCode="AR" term="%22Mendoza%2C+Jason+A%2E%22">Mendoza, Jason A.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Eating+Disorders%22">International Journal of Eating Disorders</searchLink>. Jun2025, Vol. 58 Issue 6, p1039-1047. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Type+1+diabetes%22">Type 1 diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Social+determinants+of+health%22">Social determinants of health</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+significance%22">Statistical significance</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Food+security%22">Food security</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Eating+disorders%22">Eating disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Type+2+diabetes%22">Type 2 diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Health+equity%22">Health equity</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescence%22">Adolescence</searchLink><br /><searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Objective: To examine the relationship between levels of household food insecurity and disordered eating behaviors (DEB) among youth and young adults with youth‐onset type 1 (T1D) and type 2 diabetes (T2D). Method: We used cross‐sectional data from the multicenter SEARCH for Diabetes in Youth Study (2015–2020). The Household Food Security Survey Module and the Diabetes Eating Problem Survey‐Revised (DEPS‐R) were utilized to measure household food insecurity and continuous scores for DEB. In each stratum of diabetes type, we evaluated the association of household food insecurity levels with DEB through linear regression adjusting for potential confounders. Results: Participants (n = 2669) were on average 21.5 ± 5.1 years old and had a mean diabetes duration of 11.2 ± 3.3 years; 54.2% were female, 64.0% non‐Hispanic white, and respectively 12.9%, 11.1%, and 8.43% experienced marginal, low, and very low food security. The overall unadjusted mean DEPS‐R score was 13.5 ± 9.5, with scores of 18.6 ± 11.8 and 21.1 ± 11.7 among T1D and T2D participants with very low food security, and scores of 11.5 ± 8.9 and 15.2 ± 8.8 among T1D and T2D participants with high food security. Compared to participants who reported high food security, adjusted DEPS‐R scores among those with very low food security were 5.8 points (95% CI: 4.3, 7.4) and 6.6 points (95% CI: 3.3, 9.2) higher, respectively, in those with T1D (n = 2274) and T2D (n = 395). Less severe levels of household food insecurity showed similar associations with smaller effect sizes. Discussion: Addressing household food insecurity may decrease DEB and future adverse health outcomes for youth and young adults with diabetes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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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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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/eat.24411
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Type 1 diabetes
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Cross-sectional method
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      – SubjectFull: Research funding
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      – SubjectFull: Food security
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      – SubjectFull: Multiple regression analysis
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      – SubjectFull: Questionnaires
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      – SubjectFull: Multivariate analysis
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      – SubjectFull: Health equity
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