scholarly journals Eating patterns in adolescents with type 1 diabetes: Associations with metabolic control, insulin omission, and eating disorder pathology

Appetite ◽  
2017 ◽  
Vol 114 ◽  
pp. 226-231 ◽  
Author(s):  
Line Wisting ◽  
Deborah Lynn Reas ◽  
Lasse Bang ◽  
Torild Skrivarhaug ◽  
Knut Dahl-Jørgensen ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Eating Disorder ◽  
Metabolic Control ◽  
Eating Patterns ◽  
Insulin Omission

scholarly journals Metabolic Control and Illness Perceptions in Adolescents with Type 1 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Line Wisting ◽  
Lasse Bang ◽  
Henrik Natvig ◽  
Torild Skrivarhaug ◽  
Knut Dahl-Jørgensen ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Eating Disorder ◽  
Metabolic Control ◽  
Illness Perceptions ◽  
Illness Perception ◽  
Personal Control ◽  
Self Report ◽  
Diabetes Registry ◽  
Eating Disorder Examination

Background. Disturbed eating behavior and psychosocial variables have been found to influence metabolic control, but little is known about how these variables interact or how they influence metabolic control, separately and combined.Objective. To explore associations between metabolic control (measured by HbA1c) and eating disorder psychopathology, coping strategies, illness perceptions, and insulin beliefs in adolescents with type 1 diabetes.Methods. A total of 105 patients (41.9% males) with type 1 diabetes (12–20 years) were interviewed with the Child Eating Disorder Examination. In addition, self-report psychosocial questionnaires were completed. Clinical data, including HbA1c, was obtained from the Norwegian Childhood Diabetes Registry.Results. Significant gender differences were demonstrated. Among females, HbA1c correlated significantly with eating restriction (.29,p< .05), the illness perception dimensionsconsequences, personal control, coherence,andconcern(ranging from .33 to .48), and the coping strategyventilating negative feelings(−.26,p< .05). Illness perceptionpersonal controlcontributed significantly to HbA1c in a regression model, explaining 23% of the variance among females (β.48,p< .001). None of the variables were significantly associated with HbA1c among males.Conclusions. Illness perceptions appear to be important contributors to metabolic control in females, but not males, with type 1 diabetes.

The impact of real-time continuous glucose monitoring on metabolic control in children with type 1 diabetes

2020 ◽  
Author(s):  
Ruxandra Calapod Ioana ◽  
Irina Bojoga ◽  
Duta Simona Gabriela ◽  
Ana-Maria Stancu ◽  
Amalia Arhire ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Real Time ◽  
Metabolic Control ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
The Impact

1217-P: Improvement of Metabolic Control in Type 1 Diabetes after Transition Is Independent from Referral Center and Insulin Regimen

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1217-P
Author(s):  
SILVIA PIERALICE ◽  
ERNESTO MADDALONI ◽  
CHIARA MORETTI ◽  
ANNA RITA MAURIZI ◽  
CARMEN MIGNOGNA ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Metabolic Control ◽  
Insulin Regimen ◽  
Referral Center

Identifying and managing eating disorders in type 1 diabetes mellitus: An all-Wales study

2021 ◽  
pp. 135910452110095
Author(s):  
Jacinta O A Tan ◽  
Imogen Spector-Hill
Keyword(s):  
Diabetes Mellitus ◽  
Primary Care ◽  
Eating Disorders ◽  
Type 1 Diabetes ◽  
Eating Disorder ◽  
Type 1 Diabetes Mellitus ◽  
Healthcare Professionals ◽  
Health And Wellbeing ◽  
Level Of Knowledge

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.

scholarly journals A review of risk factors associated with insulin omission for weight loss in type 1 diabetes

2021 ◽  
pp. 135910452110261
Author(s):  
Rebecca Hall ◽  
Leanna Keeble ◽  
Sandra-Ilona Sünram-Lea ◽  
Michelle To
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Type 1 Diabetes ◽  
Body Dissatisfaction ◽  
Vascular Complications ◽  
Anxiety And Depression ◽  
Weight Concerns ◽  
Complications And Mortality ◽  
Insulin Omission

Research suggests that as many as 60% of people with type 1 diabetes (T1D) admit to misusing insulin. Insulin omission (IO) for the purpose of weight loss, often referred to as diabulimia, is a behaviour becoming increasingly recognised, not least since prolonged engagement can lead to serious vascular complications and mortality. Several risk factors appear to be relevant to the development of IO, most notably gender, anxiety and depression and increased weight concerns and body dissatisfaction. Evidence suggests that women, especially young girls, are more likely to omit insulin as a method of weight loss compared to men. Mental health conditions such as anxiety and depression are increasingly prevalent in people with T1D compared to their peers, and appear to contribute to the risk of IO. Increased weight concerns and body dissatisfaction are further prominent risk factors, especially given increases in weight which often occur following diagnosis and the monitoring of weight by diabetes teams. This review presents evidence examining these risk factors which increase the likelihood of a person with T1D engaging in IO and highlights the complications associated with prolongment of the behaviour. Further research looking at the comorbidities of these risk factors, alongside other factors, would provide greater insight into understanding IO in people with T1D.

scholarly journals Prevalence of dental caries in children and adolescents with type 1 diabetes: a systematic review and meta-analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yan Wang ◽  
Lin Xing ◽  
Hui Yu ◽  
LiJuan Zhao
Keyword(s):  
Type 1 Diabetes ◽  
Dental Caries ◽  
Children And Adolescents ◽  
Metabolic Control ◽  
Meta Analysis ◽  
Preventive Treatment ◽  
Diabetic Patients ◽  
China National Knowledge Infrastructure ◽  
Pooled Prevalence

Abstract Background Dental caries and type 1 diabetes are responsible for a large burden of global disease; however, the exact prevalence of dental caries among children and adolescents with type 1 diabetes remains controversial, and no quantitative meta-analysis exists. Thus, we performed a meta-analysis to evaluate the prevalence of dental caries among children and adolescents with type 1 diabetes. Methods We performed a systematic search strategy using PubMed, EMBASE and China National Knowledge Infrastructure for relevant studies investigating the prevalence of dental caries in children and adolescents with type 1 diabetes from July 1971 until December 2018. The pooled prevalence with 95% confidence intervals (95%CIs) and subgroup analyses were calculated using a random effects model. Results After screening 358 non-duplicated articles, a total of 10 articles involving 538 individuals were included. The overall prevalence of dental caries among children and adolescents with type 1 diabetes was 67% (95% CI: 0.56–0.77%; I2 = 83%). The prevalence was highest in South America (84%) and lowest in diabetic patients with good metabolic control (47%). Conclusions The prevalence of dental caries was high among children and adolescents with type 1 diabetes. Screening and preventive treatment should be included in dental clinical routines for diabetic children and adolescents, especially in those with poor metabolic control.

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