Dietary Behaviors Predict Glycemic Control in Youth With Type 1 Diabetes

Mehta, Sanjeev N.; Volkening, Lisa K.; Anderson, Barbara J.; Nansel, Tonja R.; Weissberg‐Benchell, Jill; Wysocki, Tim; Laffel, Lori

doi:10.2337/dc07-2435

Cited by 63 publications

(37 citation statements)

References 9 publications

(10 reference statements)

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“…However, differences in the degree of expected accuracy in quantifying carbohydrate may have implications for the quality of life and burden of daily management placed on people with diabetes and their family (Schmidt, Klover, Arfken, Delamater, & Hobson, 1992). Furthermore, increased complexity in nutritional interventions can lead to decreased dietary adherence (Schmidt et al, 1992), which negatively impacts glycemic control (Mehta et al, 2008). It has been postulated that an increased focus on carbohydrate counting can lead to an increased intake of packaged food as the nutrition label facilitates carbohydrate counting.…”

Section: How Accurately Do People With Type 1 Diabetes Need To Count mentioning

confidence: 98%

The relationship between carbohydrate and the mealtime insulin dose in type 1 diabetes

Bell

King

Shafat

et al. 2015

Journal of Diabetes and its Complications

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Section: How Accurately Do People With Type 1 Diabetes Need To Count mentioning

confidence: 98%

The relationship between carbohydrate and the mealtime insulin dose in type 1 diabetes

Bell

King

Shafat

et al. 2015

Journal of Diabetes and its Complications

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“…In addition, diabetes-related characteristics including; frequency of self-monitoring of blood glucose [4, 17, 18], diet [19], diabetes duration [20, 21], regularity of clinic visits [22, 23, 24], insulin regimen [6] and family involvement in diabetes related tasks [25] are also associated with the level of glycaemic control of patients.…”

Section: Introductionmentioning

confidence: 99%

Predictors of glucose control in children and adolescents with type 1 diabetes: results of a cross-sectional study in Cameroon

et al. 2017

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BackgroundIn sub-Saharan Africa the prognosis of children with type 1 diabetes is poor. Many are not diagnosed and those diagnosed have a dramatically reduced life expectancy (less than one year). The purpose of this study was to identify the predictors of glucose control in children and adolescents with type 1 diabetes.MethodsThis hospital based cross-sectional study involved 76 children/adolescents (35 boys and 41 girls, mean age of 15.1 ± 3.1 years) with type 1 diabetes included in the “Changing Diabetes in Children” (CDiC) program and attending the clinics for children living with type 1 diabetes in the North West Region of Cameroon. Data on glycosylated haemoglobin (HbA1c) was obtained from hospital records of participants. Information on socio-demographic characteristics and diabetes related practices were obtained from participants using a structured questionnaire. Odds ratios (OR) were calculated using logistic regression models to assess the association between determinants and good glyceamic control.ResultsThe study population had a mean HbA1c of 10.3 ± 2.9%. Bivariate analysis indicated that having a mother as the primary caregiver (OR 0.07, 95% CI 0.02–0.2), being on 2 daily insulin injections (OR 0.2, 95% CI 0.1–0.5) and good blood glucose monitoring (BGM) adherence (OR 0.1, 95% CI 0.04–0.3) were significantly (p < 0.001) associated with better HbA1c. Minimal/moderate caregiver involvement in BGM (OR 7.7, 95% CI 2.7–22.0) and insulin injection (OR 14.9, 95% CI 4.8–46.5) were significantly (p < 0.001) associated with poor outcome. Multivariate analysis showed that having a mother as the primary caregiver (OR 0.02, 95% CI 0.002–0.189) was an independent predictor of good glucose control.ConclusionsThis study has shown that the mother’s involvement in the diabetes management of their children and minimal/moderate caregiver involvement in the task of insulin injection are the most important determinants for good and poor glucose control respectively. It is currently unclear whether the direct involvement of the mother is causal or whether “mother as a primary caregiver” is just an indicator for a setting in which good diabetes treatment is possible.Electronic supplementary materialThe online version of this article (doi:10.1186/s13104-017-2534-8) contains supplementary material, which is available to authorized users.

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“…Obesity is defined as a surplus of body fat accumulation, with the excess of adipose tissue really being a well-established metabolic risk factor for the development of obesity-related comorbidities such as insulin resistance, T2DM, cardiovascular diseases, and some common cancers [2,[28][29][30][31][32] . The mechanisms linking excess adiposity and cancer are unclear, but the obesity-related low-grade chronic inflammation is widely accepted as a critical factor in the pathogenesis of various diseases such as T2DM, cardiovascular disorders, dementia, cancers, dietary control failure [26,28,[33][34][35][36][37][38][39][40][41][42] . Currently, particular attention has been placed on the pro-inflammatory microenvironment in the body associated with obesity, specifically underlining the involvement of obesity-associated hormones/growth factors in the cross-talk between macrophages, lymphocytes, adipocytes, and epithelial cells involved in the development of T2DM [28,43] .…”

Section: Introductionmentioning

confidence: 99%

Effects of exercise on brain functions in diabetic animal models

Yi¹

2015

WJD

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Human life span has dramatically increased over several decades, and the quality of life has been considered to be equally important. However, diabetes mellitus (DM) characterized by problems related to insulin secretion and recognition has become a serious health problem in recent years that threatens human health by causing decline in brain functions and finally leading to neurodegenerative diseases. Exercise is recognized as an effective therapy for DM without medication administration. Exercise studies using experimental animals are a suitable option to overcome this drawback, and animal studies have improved continuously according to the needs of the experimenters. Since brain health is the most significant factor in human life, it is very important to assess brain functions according to the different exercise conditions using experimental animal models. Generally, there are two types of DM; insulin-dependent type 1 DM and an insulin-independent type 2 DM (T2DM); however, the author will mostly discuss brain functions in T2DM animal models in this review. Additionally, many physiopathologic alterations are caused in the brain by DM such as increased adiposity, inflammation, hormonal dysregulation, uncontrolled hyperphagia, insulin and leptin resistance, and dysregulation of neurotransmitters and declined neurogenesis in the hippocampus and we describe how exercise corrects these alterations in animal models. The results of changes in the brain environment differ according to voluntary, involuntary running exercises and resistance exercise, and gender in the animal studies. These factors have been mentioned in this review, and this review will be a good reference for studying how exercise can be used with therapy for treating DM.

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Dietary Behaviors Predict Glycemic Control in Youth With Type 1 Diabetes

Cited by 63 publications

References 9 publications

The relationship between carbohydrate and the mealtime insulin dose in type 1 diabetes

The relationship between carbohydrate and the mealtime insulin dose in type 1 diabetes

Predictors of glucose control in children and adolescents with type 1 diabetes: results of a cross-sectional study in Cameroon

Effects of exercise on brain functions in diabetic animal models

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