Diabetes and Eating Disorders

Author(s):  
Liana Abascal ◽  
Ann Goebel-Fabbri

Rates of eating disorders are higher in patients with type 1 and type 2 diabetes than in the general population. Types of eating disorders include anorexia; bulimia; binge-eating disorder; subclinical eating disorders; and an eating disorder unique to type 1 diabetes, intentionally restricting insulin doses as a calorie purge—often referred to by laypeople as “diabulimia.” Women with diabetes and eating disorders (including disordered eating behaviors) have significantly elevated blood glucose ranges, higher rates of hospitalization, higher rates of diabetes complications, and, in some cases, higher mortality rates. This chapter discusses risk factors, presentation, and identification of eating disorders within the diabetes population. Specific recommendations are given for this difficult-to-treat population, including the need for an expanded treatment team as well as the need to establish mutually agreed upon and incremental diabetes management goals.

2021 ◽  
Author(s):  
Ashley E. Tate ◽  
Shengxin Liu ◽  
Ruyue Zhang ◽  
Zeynep Yilmaz ◽  
Janne T. Larsen ◽  
...  

OBJECTIVE <p>To ascertain the association and co-aggregation of eating disorders and childhood-onset type 1 diabetes in families. </p> <p>RESEARCH DESIGN AND METHODS</p> <p>Using population samples from national registers in Sweden (n= 2 517 277) and Demark (n= 1 825 920) we investigated the within-individual association between type 1 diabetes and EDs, and their familial co-aggregation among full siblings, half-siblings, full cousins, and half-cousins. Based on clinical diagnoses we classified eating disorders (EDs) into: any eating disorder (AED), anorexia nervosa and atypical anorexia nervosa (AN), and other eating disorder (OED). Associations were determined with hazard ratios (HR) with confidence intervals (CI) from Cox regressions. </p> <p>RESULTS</p> <pre>Swedish and Danish individuals with a type 1 diabetes diagnosis had a greater risk of receiving an ED diagnosis (HR [95% CI] Sweden: AED 2.02 [1.80 – 2.27], AN 1.63 [1.36 – 1.96], OED 2.34 [2.07 – 2.63]; Denmark: AED 2.19 [1.84 – 2.61], AN 1.78 [1.36 – 2.33], OED 2.65 [2.20 – 3.21]). We also meta-analyzed the results: AED 2.07 [1.88 – 2.28], AN 1.68 [1.44 – 1.95], OED 2.44 [2.17 – 2.72]. There was an increased risk of receiving an ED diagnosis in full siblings in the Swedish cohort (AED 1.25 [1.07 – 1.46], AN 1.28 [1.04 – 1.57], OED 1.28 [1.07 – 1.52]), these results were non-significant in the Danish cohort.</pre> <p>CONCLUSION</p> <p>Patients with 1 diabetes are at a higher risk of subsequent EDs; however, there is conflicting support for the relationship between having a sibling with type 1 diabetes and ED diagnosis. Diabetes healthcare teams should be vigilant for disordered eating behaviors in children and adolescents with type 1 diabetes. </p>


2021 ◽  
Author(s):  
Ashley E. Tate ◽  
Shengxin Liu ◽  
Ruyue Zhang ◽  
Zeynep Yilmaz ◽  
Janne T. Larsen ◽  
...  

OBJECTIVE <p>To ascertain the association and co-aggregation of eating disorders and childhood-onset type 1 diabetes in families. </p> <p>RESEARCH DESIGN AND METHODS</p> <p>Using population samples from national registers in Sweden (n= 2 517 277) and Demark (n= 1 825 920) we investigated the within-individual association between type 1 diabetes and EDs, and their familial co-aggregation among full siblings, half-siblings, full cousins, and half-cousins. Based on clinical diagnoses we classified eating disorders (EDs) into: any eating disorder (AED), anorexia nervosa and atypical anorexia nervosa (AN), and other eating disorder (OED). Associations were determined with hazard ratios (HR) with confidence intervals (CI) from Cox regressions. </p> <p>RESULTS</p> <pre>Swedish and Danish individuals with a type 1 diabetes diagnosis had a greater risk of receiving an ED diagnosis (HR [95% CI] Sweden: AED 2.02 [1.80 – 2.27], AN 1.63 [1.36 – 1.96], OED 2.34 [2.07 – 2.63]; Denmark: AED 2.19 [1.84 – 2.61], AN 1.78 [1.36 – 2.33], OED 2.65 [2.20 – 3.21]). We also meta-analyzed the results: AED 2.07 [1.88 – 2.28], AN 1.68 [1.44 – 1.95], OED 2.44 [2.17 – 2.72]. There was an increased risk of receiving an ED diagnosis in full siblings in the Swedish cohort (AED 1.25 [1.07 – 1.46], AN 1.28 [1.04 – 1.57], OED 1.28 [1.07 – 1.52]), these results were non-significant in the Danish cohort.</pre> <p>CONCLUSION</p> <p>Patients with 1 diabetes are at a higher risk of subsequent EDs; however, there is conflicting support for the relationship between having a sibling with type 1 diabetes and ED diagnosis. Diabetes healthcare teams should be vigilant for disordered eating behaviors in children and adolescents with type 1 diabetes. </p>


Author(s):  
Simonetta Marucci ◽  
Giulia De Iaco ◽  
Giuseppe Lisco ◽  
Francesco Mariano ◽  
Vito Angelo Giagulli ◽  
...  

: Patients with type 1 diabetes (T1D) are at risk of clinical eating disorders (EDs) and disordered eating behaviors (DEBs) than the general population. This burden is related mainly to diabetes-related physical and psychosocial issues especially beginning during childhood. DEBs must be investigated carefully and promptly managed in case of suspicion, as they can evolve into severe clinical EDs over time and are strictly related to poor outcomes. The significant number of scientific articles dealing with the relationship between T1D and DEBs or EDs confirms the complexity of these problems and the difficulties in diagnosis and treatment. This paper examined current scientific literature related to this topic, emphasizing the epidemiological and clinical complexity of the phenomenon and briefly summarizing EDBs management strategy in T1D patients.


Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1044
Author(s):  
Valeria Calcaterra ◽  
Chiara Mazzoni ◽  
Donatella Ballardini ◽  
Elena Tomba ◽  
Gian Vincenzo Zuccotti ◽  
...  

Background: Disordered eating behaviors (DEBs), including diagnosable eating disorders, are quite common and can interfere with optimal type 1 diabetes (T1DM) management. We explored DEBs prevalence in youth with T1DM, proposing news diagnostic subscales, to represent the clinical dimensions associated with feeding and eating disorders (ED); Methods: additionally to SCOFF questionnaire and Diabetes Eating Problem Survey–Revised (DEPS-R), four subscales combined from the original DEPS-R questionnaire were administered to 40 youths with T1DM (15.0 ± 2.6); Results: females showed higher scores than males in DEPS-R original factor 2 (“preoccupations with thinness/weight”, p = 0.024) and in DEPS-R proposed “restriction” factor (p = 0.009). SCOFF scores was correlated with original DEPS-R factors 1 (“maladaptive eating habits”) and 2 (p < 0.001) and with the newly proposed DEPS-R factors: restriction, disinhibition, compensatory behaviors, diabetes management (all p < 0.02). Diabetes management was the only factor related to glycated hemoglobin level (p = 0.006). Patients with high DEPS-R score (≥20) scored higher than patients with low (<20) DEPS-R score in DEPS-R original factors 1 (p < 0.001) and 2 (p = 0.002) as well as in the proposed factors including restriction, disinhibition, diabetes management (all p < 0.02); Conclusions: the complicated nature of DEBs calls for the development target specific questionnaires to be used as screening tools to detect cases of DEBs and exclude non cases. Early recognition of DEBs in adolescents with T1DM is essential for effective prevention and successful treatment.


2019 ◽  
Vol 45 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Laura B Smith ◽  
Nicole Foster ◽  
Sureka Bollepalli ◽  
Hannah F Fitterman-Harris ◽  
Diana Rancourt

Abstract Objective Preliminary evidence supports the integration of type 1 diabetes (T1D) disease-specific factors into eating disorder risk models. The current study explored whether cross-sectional associations among constructs included in the modified dual pathway model of eating disorder risk for individuals with T1D are similar across sex among adolescents and young adults with T1D. Methods Original study participants were recruited from the T1D Exchange Clinic Network, a U.S. registry of individuals with T1D. Online surveys included measures of general eating disorder risk factors, hypothesized T1D-specific risk factors, and a T1D-specific eating disorder questionnaire. The current study is a secondary analysis with the adolescents (13–17 years; n = 307; 46.9% female) and young adults (18–25 years; n = 313; 62.6% female) from the original sample. In the absence of strong measurement invariance for all measures of interest, sex-specific path models were estimated among the adolescent and young adult cohorts. Results Only two paths emerged as significant in the female, but not male, adolescent model. In the young adult cohort, all significant paths were the same across sex. Conclusions Both general and T1D-specific risk factors are associated with disordered eating behaviors in the T1D population. Patterns of associations were similar across male and female youth with T1D, suggesting that sex-specific prevention approaches to disordered eating behaviors among T1D youth may not be warranted.


Diabetes Care ◽  
2019 ◽  
Vol 42 (5) ◽  
pp. 859-866 ◽  
Author(s):  
Angel S.Y. Nip ◽  
Beth A. Reboussin ◽  
Dana Dabelea ◽  
Anna Bellatorre ◽  
Elizabeth J. Mayer-Davis ◽  
...  

2005 ◽  
Vol 31 (4) ◽  
pp. 572-583 ◽  
Author(s):  
Sarah Dion Kelly ◽  
Carol J. Howe ◽  
Jennifer Paige Hendler ◽  
Terri H. Lipman

Eating disorders are a significant health problem for many adolescents and are described as occurring along a spectrum of symptoms including disordered eating behaviors and clinical eating disorders. Poor self-esteem and body image, intense fear of gaining weight or refusal to maintain weight, and purging unwanted calories are clinical features of some eating disorders. Type 1 diabetes is a chronic illness with marked insulin deficiency. Chronic hyperglycemia creates a state of glucosuria with subsequent weight loss. Diabetes treatment focuses on intensive daily management of blood glucose by balancing insulin, food intake, and physical activity. Insulin omission offers an easy method for the purging of unwanted calories. The combination of these 2 illnesses is potentially deadly and also leads to an increased risk of poor diabetes outcomes. This includes poor metabolic control (measured by elevated hemoglobin A1C), increased risk of diabetic ketoacidosis, and microvascular complications such as retinopathy and nephropathy. Diabetes clinicians should be aware of the potential warning signs in an adolescent with diabetes as well as assessment and treatment options for eating disorders with concomitant type 1 diabetes. This article reviews the available data on the prevalence, screening tools, assessment guidelines, and treatment options for eating disorders in youth with type 1 diabetes.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1584-P
Author(s):  
JUAN J. GAGLIARDINO ◽  
PABLO ASCHNER ◽  
HASAN M. ILKOVA ◽  
FERNANDO J. LAVALLE-GONZALEZ ◽  
AMBADY RAMACHANDRAN ◽  
...  

2021 ◽  
pp. 135910452110095
Author(s):  
Jacinta O A Tan ◽  
Imogen Spector-Hill

Background: Co-morbid diabetes and eating disorders have a particularly high mortality, significant in numbers and highly dangerous in terms of impact on health and wellbeing. However, not much is known about the level of awareness, knowledge and confidence amongst healthcare professionals regarding co-morbid Type 1 Diabetes Mellitus (T1DM) and eating disorders. Aim: To understand the level of knowledge and confidence amongst healthcare professionals in Wales regarding co-morbid T1DM and eating disorder presentations, identification and treatment. Results: We conducted a survey of 102 Welsh clinicians in primary care, diabetes services and eating disorder services. 60.8% expressed low confidence in identification of co-morbid T1DM and eating disorders. Respondents reported fewer cases seen than would be expected. There was poor understanding of co-morbid T1DM and eating disorders: 44.6% identified weight loss as a main symptom, 78.4% used no screening instruments, and 80.3% consulted no relevant guidance. The respondents expressed an awareness of their lack of knowledge and the majority expressed willingness to accept training and education. Conclusion: We suggest that priority must be given to education and training of all healthcare professionals in primary care, diabetes services and mental health services who may see patients with co-morbid T1DM and eating disorders.


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