scholarly journals Families with pediatric type 1 diabetes: A comparison with the general population on child well‐being, parental distress, and parenting behavior

2019 ◽  
Vol 21 (2) ◽  
pp. 395-408 ◽  
Author(s):  
Cynthia Van Gampelaere ◽  
Koen Luyckx ◽  
Saskia Straaten ◽  
Jolien Laridaen ◽  
Eveline R. Goethals ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
General Population ◽  
Well Being ◽  
Parenting Behavior ◽  
Parental Distress ◽  
Pediatric Type 1 Diabetes

scholarly journals Parental Diabetes Behaviors and Distress Are Related to Glycemic Control in Youth with Type 1 Diabetes: Longitudinal Data from the DINO Study

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Minke M. A. Eilander ◽  
Frank J. Snoek ◽  
Joost Rotteveel ◽  
Henk-Jan Aanstoot ◽  
Willie M. Bakker-van Waarde ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Problem Behavior ◽  
Well Being ◽  
Diabetes Distress ◽  
Parental Distress ◽  
Family Behavior ◽  
Parental Diabetes ◽  
Design And Methods

Objective. To evaluate (1) the longitudinal relationship between parental well-being and glycemic control in youth with type 1 diabetes and (2) if youth’s problem behavior, diabetes parenting behavior, and parental diabetes-distress influence this relationship. Research Design and Methods. Parents of youth 8–15 yrs (at baseline) (N=174) participating in the DINO study completed questionnaires at three time waves (1 yr interval). Using generalized estimating equations, the relationship between parental well-being (WHO-5) and youth’s HbA1c was examined. Second, relationships between WHO-5, Strength and Difficulties Questionnaire (SDQ), Diabetes Family Behavior Checklist (DFBC), Problem Areas In Diabetes-Parent Revised (PAID-Pr) scores, and HbA1c were analyzed. Results. Low well-being was reported by 32% of parents. No relationship was found between parents’ WHO-5 scores and youth’s HbA1c (β=−0.052, p=0.650). WHO-5 related to SDQ (β=−0.219, p<0.01), DFBC unsupportive scale (β=−0.174, p<0.01), and PAID-Pr (β=−0.666, p<0.01). Both DFBC scales (supportive β=−0.259, p=0.01; unsupportive β=0.383, p=0.017), PAID-Pr (β=0.276, p<0.01), and SDQ (β=0.424, p<0.01) related to HbA1c. Conclusions. Over time, reduced parental well-being relates to increased problem behavior in youth, unsupportive parenting, and parental distress, which negatively associate with HbA1c. More unsupportive diabetes parenting and distress relate to youth’s problem behavior.

Prevalence of early and late prematurity is similar among pediatric type 1 diabetes patients and the general population

2018 ◽  
Vol 34 (5) ◽  
pp. e2996 ◽  
Author(s):  
Adi Adar ◽  
Shlomit Shalitin ◽  
Ori Eyal ◽  
Neta Loewenthal ◽  
Orit Pinhas-Hamiel ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
General Population ◽  
Pediatric Type 1 Diabetes ◽  
Diabetes Patients

A Decade of Disparities in Diabetes Technology Use and HbA1c in Pediatric Type 1 Diabetes: A Trans-Atlantic Comparison

2020 ◽  
Author(s):  
Ananta Addala ◽  
Marie Auzanneau ◽  
Kellee Miller ◽  
Werner Maier ◽  
Nicole Foster ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Technology Use ◽  
Hemoglobin A1c ◽  
Diabetes Technology ◽  
Design And Methods ◽  
Relationship Of ◽  
The Relationship ◽  
Pediatric Type 1 Diabetes

<b>Objective:</b> As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A1c (HbA1c). We hypothesized an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA1c disparities. <p> </p> <p><b>Research Design and Methods: </b>Participants aged <18 years with diabetes duration ≥1 year in the Type 1 Diabetes Exchange (T1DX, US, n=16,457) and Diabetes Prospective Follow-up (DPV, Germany, n=39,836) registries were categorized into lowest (Q1) to highest (Q5) SES quintiles. Multiple regression analyses compared the relationship of SES quintiles with diabetes technology use and HbA1c from 2010-2012 and 2016-2018. </p> <p> </p> <p><b>Results: </b>HbA1c was higher in participants with lower SES (in 2010-2012 & 2016-2018, respectively: 8.0% & 7.8% in Q1 and 7.6% & 7.5% in Q5 for DPV; and 9.0% & 9.3% in Q1 and 7.8% & 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA1c did not change between the two time periods, whereas for T1DX, disparities in HbA1c by SES increased significantly (p<0.001). After adjusting for technology use, results for DPV did not change whereas the increase in T1DX was no longer significant.</p> <p> </p> <p><b>Conclusions: </b>Although causal conclusions cannot be drawn, diabetes technology use is lowest and HbA1c is highest in those of the lowest SES quintile in the T1DX and this difference for HbA1c broadened in the last decade. Associations of SES with technology use and HbA1c were weaker in the DPV registry. </p>

scholarly journals Contested Daily Routines, Contested Care. Children with Type 1 Diabetes in Covid-19 Times

2021 ◽  
Author(s):  
Melike Şahinol ◽  
Gülşah Başkavak
Keyword(s):  
Type 1 Diabetes ◽  
Continuous Glucose Monitoring ◽  
Conventional Treatment ◽  
Glucose Monitoring ◽  
Well Being ◽  
Monitoring Systems ◽  
Solvable Problem ◽  
Daily Routines ◽  
Depth Interviews

AbstractThe conventional treatment of Type 1 Diabetes (T1D) is especially demanding for children, both physically and psychologically (Iversen et al. Int J Qual Stud Health Well-being,13(1), 1487758, 2018). Continuous Glucose Monitoring Systems (CGM) are an important aid for children and their families in dealing with the disease. In their work, however, Şahinol and Başkavak (2020) point out that CGM carry the risk of viewing T1D as a technologically solvable problem instead of considering the disease as a whole. This is mainly creating confidence in technology due to CGM experiences while neglecting significant dietary measures and exercises needed to be integrated into daily routines. During the current pandemic, this problem seems to take on a whole new level. Based on two periods of in-depth interviews and observations conducted with 8 families with T1D children aged 6 to 14 living in Istanbul and Ankara (Turkey) from May to November 2019 and again from May to June 2020, we compare and focus on the experiences prior to and during the pandemic time. We argue that despite the possibility of technological regulation of the disease, the vulnerability of children is increased and, more than ever, depends on socio-bio-technical entanglements.

scholarly journals Anxiety, depression, and glycemic control during Covid-19 pandemic in youths with type 1 diabetes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Maria Cusinato ◽  
Mariangela Martino ◽  
Alex Sartori ◽  
Claudia Gabrielli ◽  
Laura Tassara ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Psychological Impact ◽  
Glucose Monitoring ◽  
Severe Hypoglycemia ◽  
Well Being ◽  
Glucose Variability ◽  
Threshold Score ◽  
The Impact

Abstract Objectives Our study aims to assess the impact of lockdown during the coronavirus disease 2019 pandemic on glycemic control and psychological well-being in youths with type 1 diabetes. Methods We compared glycemic metrics during lockdown with the same period of 2019. The psychological impact was evaluated with the Test of Anxiety and Depression. Results We analyzed metrics of 117 adolescents (87% on Multiple Daily Injections and 100% were flash glucose monitoring/continuous glucose monitoring users). During the lockdown, we observed an increase of the percentage of time in range (TIR) (p<0.001), with a significant reduction of time in moderate (p=0.002), and severe hypoglycemia (p=0.001), as well as the percentage of time in hyperglycemia (p<0.001). Glucose variability did not differ (p=0.863). The glucose management indicator was lower (p=0.001). 7% of youths reached the threshold-score (≥115) for anxiety and 16% for depression. A higher score was associated with lower TIR [p=0.028, p=0.012]. Conclusions Glycemic control improved during the first lockdown period with respect to the previous year. Symptoms of depression and anxiety were associated with worse glycemic control; future researches are necessary to establish if this improvement is transient and if psychological difficulties will increase during the prolonged pandemic situation.

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