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13. Differential comorbidity profiles in avoidant/restrictive food intake disorder and anorexia nervosa: Does age play a role?

Author

Kambanis, P. Evelyna, primary, Harshman, Stephanie G., additional, Kuhnle, Megan C., additional, Kahn, Danielle L., additional, Dreier, Melissa J., additional, Hauser, Kristine, additional, Slattery, Meghan, additional, Becker, Kendra R., additional, Breithaupt, Lauren, additional, Misra, Madhusmita, additional, Micali, Nadia, additional, Lawson, Elizabeth A., additional, Eddy, Kamryn T., additional, and Thomas, Jennifer J., additional

Published
2022
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16. A Moving Target

Author

Harshman, Stephanie G., primary, Jo, Jenny, additional, Kuhnle, Megan, additional, Hauser, Kristine, additional, Murray, Helen Burton, additional, Becker, Kendra R., additional, Misra, Madhusmita, additional, Eddy, Kamryn T., additional, Micali, Nadia, additional, Lawson, Elizabeth A., additional, and Thomas, Jennifer J., additional

Published
2021
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18. Cognitive‐behavioral therapy for avoidant/restrictive food intake disorder: Feasibility, acceptability, and proof‐of‐concept for children and adolescents

Author

Thomas, Jennifer J., primary, Becker, Kendra R., additional, Kuhnle, Megan C., additional, Jo, Jenny H., additional, Harshman, Stephanie G., additional, Wons, Olivia B., additional, Keshishian, Ani C., additional, Hauser, Kristine, additional, Breithaupt, Lauren, additional, Liebman, Rachel E., additional, Misra, Madhusmita, additional, Wilhelm, Sabine, additional, Lawson, Elizabeth A., additional, and Eddy, Kamryn T., additional

Published
2020
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20. A Diet High in Processed Foods, Total Carbohydrates and Added Sugars, and Low in Vegetables and Protein Is Characteristic of Youth with Avoidant/Restrictive Food Intake Disorder

Author

Harshman, Stephanie G., primary, Wons, Olivia, additional, Rogers, Madeline S., additional, Izquierdo, Alyssa M., additional, Holmes, Tara M., additional, Pulumo, Reitumetse L., additional, Asanza, Elisa, additional, Eddy, Kamryn T., additional, Misra, Madhusmita, additional, Micali, Nadia, additional, Lawson, Elizabeth A., additional, and Thomas, Jennifer J., additional

Published
2019
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21. Radcliffe ARFID Workgroup: Toward operationalization of research diagnostic criteria and directions for the field

Author

Eddy, Kamryn T., primary, Harshman, Stephanie G., additional, Becker, Kendra R., additional, Bern, Elana, additional, Bryant‐Waugh, Rachel, additional, Hilbert, Anja, additional, Katzman, Debra K., additional, Lawson, Elizabeth A., additional, Manzo, Laurie D., additional, Menzel, Jessie, additional, Micali, Nadia, additional, Ornstein, Rollyn, additional, Sally, Sarah, additional, Serinsky, Sharon P., additional, Sharp, William, additional, Stubbs, Kathryn, additional, Walsh, B. Timothy, additional, Zickgraf, Hana, additional, Zucker, Nancy, additional, and Thomas, Jennifer J., additional

Published
2019
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24. Vitamin K

Author

Harshman, Stephanie G., primary, Saltzman, Edward, additional, and Booth, Sarah L., additional

Published
2014
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26. Characterization of Immune Cell Populations in White Adipose Tissue of Wild Type and Bovine Growth Hormone Transgenic Mice

Author

Harshman, Stephanie G.

Subjects
Biology, Cellular Biology, Endocrinology, Health Sciences, Immunology, White adipose tissue, growth hormone, bGH, immune cells, macrophages, T cells
Abstract

White adipose tissue (WAT) is a complex tissue composed mostly of adipocytes, but contains other cell types, including a variety of immune cells such as macrophages, T cells, Natural Killer T cells (NK), and depot specific differences in cellular composition and endocrine output. Growth hormone (GH) has been shown to impact immune function as well as adiposity. The immune cell population, within WAT of bGH mice has not previously been assessed. Therefore, the purpose of this study was to characterize the WAT depot specific differences in immune cell populations in bGH mice. Stromal vascular fraction (SVF) was collected from three adipose depots. Total SVF cells were significantly increased in all bGH WAT depots as compared to controls. Flow cytometry was used to examine the specific immune cell populations within the SVF. bGH WAT had greater regulatory T (Treg) cell infiltration most likely due to decreased adiposity. CD45 leukocyte stained populations, which represent the global leuckocyte cell population, and CD36-F4/80 positive immune cells, which represent M2 macrophages, were significantly increased in bGH subcutaneous and mesenteric depots compared to controls. In conclusion, the significant decrease in adiposity caused by excess GH leads to marked increases in infiltration of immune cell populations in a depot specific manner as well as increased numbers of other non-immune SVF cells.

Published
2012

27. A Moving Target: How We Define Avoidant/Restrictive Food Intake Disorder Can Double Its Prevalence.

Author

Harshman SG, Jo J, Kuhnle M, Hauser K, Murray HB, Becker KR, Misra M, Eddy KT, Micali N, Lawson EA, and Thomas JJ

Subjects
Adolescent, Body Mass Index, Child, Diagnostic Techniques and Procedures, Diagnostic and Statistical Manual of Mental Disorders, Eating psychology, Female, Humans, Male, Prevalence, Surveys and Questionnaires, Young Adult, Avoidant Restrictive Food Intake Disorder
Abstract

Objective: The DSM-5 criteria for avoidant/restrictive food intake disorder (ARFID) include ambiguities. Diagnostic criteria that allow for clinical judgment are essential for clinical practice. However, ambiguities can have major implications for treatment access and comparability and generalizability of research studies. The purpose of this study was to determine the degree to which distinct operationalizations of the diagnostic criteria for ARFID contribute to differences in the frequency of individuals who are eligible for the ARFID diagnosis., Methods: Because criteria B, C, and D are rule-outs, we focused on criterion A, identified 19 potential operational definitions, and determined the extent to which these different methods impacted the proportion of individuals who met criteria for ARFID in a sample of children, adolescents, and young adults (n = 80; September 2016-February 2020) enrolled in an avoidant/restrictive eating study., Results: Within each criterion, the proportion of individuals meeting diagnostic criteria differed significantly across the methodologies (all P values < .008). Using the strictest definition of each criterion, 50.0% (n = 40) of participants met criteria for ARFID. In contrast, under the most lenient definition of each criterion, the number nearly doubled, resulting in 97.5% (n = 78) meeting ARFID criteria., Conclusions: Comparison of diagnostic definitions for ARFID among children, adolescents, and young adults confirmed a broad range of statistically distinct proportions within a single sample. Our findings support the need for additional contextual support and consensus among disciplines on operationalization in both research and clinical settings., (© Copyright 2021 Physicians Postgraduate Press, Inc.)

Published
2021
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