Children and young people with diabetes in Yorkshire: a population‐based clinical audit of patient data 2005/2006

McKinney, Patricia A.; Feltbower, RG; Stephenson, C.; Reynolds, Catherine

doi:10.1111/j.1464-5491.2008.02583.x

Cited by 11 publications

(16 citation statements)

References 14 publications

(17 reference statements)

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“…Studies performed in the UK and France indicate that older age and longer duration of diabetes is associated with poor glycaemic control [21]. This contrasts with a study by Elbargi et al [34] among insulin dependent type 1 diabetics in Sudan describing a higher incidence of poor glycaemic control among younger type 1 diabetics.…”

Section: Discussionmentioning

confidence: 92%

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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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Section: Discussionmentioning

confidence: 92%

“…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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“…Only one of the cohort studies had a high quality , while the other nine cohort studies were of moderate quality. Three cross‐sectional studies were scored to have a low risk of bias, two of which reached the optimal rating .…”

Section: Resultsmentioning

confidence: 99%

“…Indices of area‐level socio‐economic status or deprivation included measures like the Socio‐Economic Indexes for Areas , the Townsend Deprivation Score or comparable indices. Townsend defined (area‐level) deprivation ‘as a state of observable and demonstrable disadvantage relative to the local community or the wider society or nation to which an individual, family or group belongs’ .…”

Section: Methodsmentioning

confidence: 99%

Inequalities in glycaemic control, hypoglycaemia and diabetic ketoacidosis according to socio‐economic status and area‐level deprivation in Type 1 diabetes mellitus: a systematic review

2017

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Aim The aim of this systematic review was to examine the associations of individual-level as well as area-level socioeconomic status and area-level deprivation with glycaemic control, hypoglycaemia and diabetic ketoacidosis in people with Type 1 diabetes mellitus.Methods Ovid MEDLINE was searched to identify relevant cohort, case-control or cross-sectional studies published between January 2000 and June 2015. Search results were screened by title, abstract and keywords to identify eligible publications. Decisions on inclusion or exclusion of full texts were made independently by two reviewers. The Newcastle-Ottawa Scale was used to estimate the methodological quality of included studies. Quality assessment and extracted data of included studies were synthesized narratively and reported according to the PRISMA statement.Results Literature search in Ovid MEDLINE identified 1345 eligible studies. Twenty studies matched our inclusion and exclusion criteria. Two articles were additionally identified through hand search. According to the Newcastle-Ottawa Scale, most of the studies were of average quality. Results on associations of socio-economic status and area-level deprivation with glycaemic control and hypoglycaemia were contradictory between studies. By contrast, lower socioeconomic status and higher area-level deprivation were associated with a higher risk for diabetic ketoacidosis in all except one study.Conclusions Lower socio-economic status and higher area-level deprivation are associated with a higher risk of experiencing diabetic ketoacidosis in people with Type 1 diabetes mellitus. Access to care for socially deprived people needs to be expanded to overcome impairing effects on the course of the condition and to reduce healthcare disparities.

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“…An increasing duration of diabetes was significantly associated with poorer control demonstrated in a population-based UK study of 1,742 children and young people with T1D. The authors of this study reported a 0.08% rise in A1C for every additional year of diabetes duration (McKinney et al, 2008). The pattern of worsening glycemic control with increased duration of diabetes is due in part to progressive loss of beta cell function but also contributing may be the difficulty in maintaining motivation for daily diabetes care over time (Petitti et al, 2009;Scholin et al, 2004).…”

Section: Diabetes Durationmentioning

confidence: 72%

Predictors of Glycemic Control in Children and Adolescents with Type 1 Diabetes in Southwestern Ontario

Spaic

Mahon

Thind

et al. 2013

Canadian Journal of Diabetes

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Objective: To examine factors that predict glycemic control in children and adolescents with Type 1 diabetes in Southwestern Ontario from 1998-2008. Methodology: A population based cohort study was conducted using local pediatric clinical diabetes database (Humabase) to determine demographic and diabetes-related clinical factors that predict achievement of the target glycemic control under 'real world' conditions. Clinical parameters including the outcome (A1C level) were documented in Humabase. Socioeconomic variables were derived using Forward Sortation Area and linking it to the Census of Canada Data.Results: Factors associated with improved glycemic control were age-specific. Longer distance from the treatment center (OR 0.35), female gender (OR 0.45), longer diabetes duration (OR 1.12), and greater body mass index at diagnosis (OR 1.07) predicted achievement of the target glycemic control on multivariable analyses.Conclusions: In this regional cohort we identified factors that predict glycemic control.Targeted support should be considered for high risk individuals.

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Children and young people with diabetes in Yorkshire: a population‐based clinical audit of patient data 2005/2006

Cited by 11 publications

References 14 publications

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

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

Inequalities in glycaemic control, hypoglycaemia and diabetic ketoacidosis according to socio‐economic status and area‐level deprivation in Type 1 diabetes mellitus: a systematic review

Predictors of Glycemic Control in Children and Adolescents with Type 1 Diabetes in Southwestern Ontario

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