Disordered eating and insulin restriction in youths receiving intensified insulin treatment: Results from a nationwide population‐based study

Bächle, Christina; Stahl‐Pehe, Anna; Rosenbauer, Joachim

doi:10.1002/eat.22463

Cited by 45 publications

(59 citation statements)

References 25 publications

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“…As previously stated, insulin misuse is typically higher among females, which tends to be for weight loss purposes, and is associated with higher HbA 1c (Bächle et al,, 2016;d'Emden et al, 2013;Goebel-Fabbri et al, 2008). As previously stated, insulin misuse is typically higher among females, which tends to be for weight loss purposes, and is associated with higher HbA 1c (Bächle et al,, 2016;d'Emden et al, 2013;Goebel-Fabbri et al, 2008).…”

Section: Discussionmentioning

confidence: 74%

Gender differences in disordered eating behaviors and body dissatisfaction among adolescents with type 1 diabetes: Results from diabetes MILES youth—Australia

Araia

Hendrieckx

Skinner³

et al. 2017

Intl J Eating Disorders

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A large proportion of adolescents with type 1 diabetes, particularly females reported engaging in DEB. Similarly, high rates of body dissatisfaction were reported, though ideal body shape preferences differed by gender. Given the high levels of self-reported DEB and gender-based patterns of body dissatisfaction, future research needs to examine the effectiveness of routine screening of DEB and consider implementation of stepped care approaches.

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Section: Discussionmentioning

confidence: 74%

Gender differences in disordered eating behaviors and body dissatisfaction among adolescents with type 1 diabetes: Results from diabetes MILES youth—Australia

Araia

Hendrieckx

Skinner³

et al. 2017

Intl J Eating Disorders

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show abstract

“…The sample size range is 70 to 30 708 patients with a median sample size of 210 T1D patients. Thirty‐two studies were performed in several European countries, 31 in USA, one in Canada, three in Israel, and the rest in other countries (one in Japan, one in New‐Zealand, three in Turkey, one in Australia, and three are multinational). Most studies (54 studies) were performed on T1D children (median of mean age reported in articles 12.5 [range: 4.1‐17.7]), 22 included both children and young adults (median of mean age of 14.8 [range: 10.1‐21.6]), and one included only young adults (mean age of 19.4 ± 0.9 [range: 18‐21]).…”

Section: Resultsmentioning

confidence: 99%

“…In the event of duplicate studies, only one was considered. Some studies investigated independent factors on the same large cohort and so have been included in the selection: the Danish registry of childhood and adolescent diabetes (DanDiabKids); the Diabetes‐Patienten‐Verlaufsdokumentation or diabetes‐patient‐documentation (DPV Germany‐Austria); the T1D exchange clinic network (T1DX); the Swedish childhood diabetes registry (SweDiabKids) As no review exists on the genetic factors of HbA1c in T1D patients and due to the low number of studies, a similar search strategy was used, with the additional following inclusion/exclusion criteria: (1) the term “genetic” listed in the key words; (2) no date limit for publications; and (3) a less restrictive age limit (childhood and early adulthood).…”

Section: Methodsmentioning

confidence: 99%

A systematic review of non‐genetic predictors and genetic factors of glycated haemoglobin in type 1 diabetes one year after diagnosis

Gloaguen

Bendelac

Nicolino

et al. 2018

Diabetes Metabolism Res

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Type 1 diabetes (T1D) results from autoimmune destruction of the pancreatic βcells. Although all T1D patients require daily administration of exogenous insulin, their insulin requirement to achieve good glycaemic control may vary significantly. Glycated haemoglobin (HbA1c) level represents a stable indicator of glycaemic control and is a reliable predictor of long-term complications of T1D. The purpose of this article is to systematically review the role of non-genetic predictors and genetic factors of HbA1c level in T1D patients after the first year of T1D, to exclude the honeymoon period. A total of 1974 articles published since January 2011 were identified and 78 were finally included in the analysis of non-genetic predictors. For genetic factors, a total of 277 articles were identified and 14 were included. The most significantly associated factors with HbA1c level are demographic (age, ethnicity, and socioeconomic status), personal (family characteristics, parental care, psychological traits...) and features related to T1D (duration of T1D, adherence to treatment …). Only a few studies have searched for genetic factors influencing HbA1c level, most of which focused on candidate genes using classical genetic statistical methods, with generally limited power and incomplete adjustment for confounding factors and multiple testing. Our review shows the complexity of explaining HbA1c level variations, which involves numerous correlated predictors. Overall, our review underlines the lack of studies investigating jointly genetic and non-genetic factors and their interactions to better understand factors influencing glycaemic control for T1D patients.

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“…For example, individuals with type 1 diabetes mellitus are at higher risk for eating disorders later in life—in a German study, one in three females with type 1 diabetes and one in six males with type 1 diabetes had disordered eating and insulin restriction 36. Data on athletes with type 1 diabetes and eating disorders is unknown.…”

Section: Common Comorbiditiesmentioning

confidence: 99%

2016 update on eating disorders in athletes: A comprehensive narrative review with a focus on clinical assessment and management

2016

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Eating disorders, such as anorexia nervosa and bulimia nervosa, can have devastating effects on both the health and performance of athletes. Compared to non-athletes, both female and male athletes are at higher risk of developing an eating disorder. This is especially true for athletes participating in sports where low body weight or leanness confers a competitive advantage. Screening for disordered eating behaviours, eating disorders and for related health consequences should be a standard component of preparticipation examinations, and team physicians should be knowledgeable of the updated diagnostic criteria for eating disorders in the Diagnostic and Statistical Manual-V. Athletes with eating disorders should undergo thorough evaluation and treatment by an experienced multidisciplinary team. Team physicians play a critical role in decision-making on clearance for participation and return to play. Using evidence-based guidelines for clearance and return to play encourages transparency and accountability between the sports medicine care team and the athlete. Efforts to prevent eating disorders should be aimed at athletes, coaches, parents and athletic administrators, and focused on expanding knowledge of healthy nutrition in support of sport performance and health.

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Disordered eating and insulin restriction in youths receiving intensified insulin treatment: Results from a nationwide population‐based study

Cited by 45 publications

References 25 publications

Gender differences in disordered eating behaviors and body dissatisfaction among adolescents with type 1 diabetes: Results from diabetes MILES youth—Australia

Gender differences in disordered eating behaviors and body dissatisfaction among adolescents with type 1 diabetes: Results from diabetes MILES youth—Australia

A systematic review of non‐genetic predictors and genetic factors of glycated haemoglobin in type 1 diabetes one year after diagnosis

2016 update on eating disorders in athletes: A comprehensive narrative review with a focus on clinical assessment and management

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