The Relationship of Family Structure, Maternal Employment, and Family Conflict With Self-Care Adherence of Adolescents With Type 1 Diabetes.

2005 ◽  
Vol 23 (1) ◽  
pp. 66-79 ◽  
Author(s):  
Carol Dashiff ◽  
Alfred Bartolucci ◽  
Jan Wallander ◽  
Hussein Abdullatif
Keyword(s):  
Type 1 Diabetes ◽  
Family Structure ◽  
Family Conflict ◽  
Maternal Employment ◽  
Self Care ◽  
Relationship Of ◽  
The Relationship

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>

Sex difference in the relationship of calcium and magnesium excretion to glycaemic control in type 1 diabetes mellitus

1999 ◽  
Vol 283 (1-2) ◽  
pp. 119-128 ◽  
Author(s):  
Iain R. Brown ◽  
Alasdair M. McBain ◽  
John Chalmers ◽  
Ian W. Campbell ◽  
Ewan R. Brown ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Glycaemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Sex Difference ◽  
Calcium And Magnesium ◽  
Magnesium Excretion ◽  
Relationship Of ◽  
The Relationship

scholarly journals The Relationship between Diabetes Family Conflict and Parental Conflict on Problem Recognition in Illness Self-Management among Individuals with Type 1 Diabetes Mellitus

2021 ◽  
Vol 18 (17) ◽  
pp. 8914
Author(s):  
Mi-Kyoung Cho ◽  
Mi Young Kim
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Regression Model ◽  
Family Conflict ◽  
Conflict Behavior ◽  
Self Management ◽  
Parental Conflict ◽  
Diabetes Family ◽  
The Relationship

We investigated the relationship between diabetes family conflict and parental conflict on problem recognition in illness self-management (PRISM) among individuals with type 1 diabetes mellitus (T1DM). We employed a descriptive research design. Participants were 243 individuals with T1DM who completed online questionnaires. Data were analyzed with descriptive statistics, correlations, and multiple regression analyses. Results revealed that barriers were felt in all areas (understanding and organizing care, regimen pain and bother, healthcare team interaction, family interaction, and peer interaction), especially peer interaction. The significant influencing factors in the regression model for the total PRISM score of individuals with T1DM were conflict behavior toward mothers (t = 4.44, p < 0.001), diabetes family conflict (t = 5.77, p < 0.001), conflict behavior toward fathers (t = 2.58, p = 0.011), women (t = 2.67, p = 0.008), non-religious (t = −2.33, p = 0.020), and diabetic complications (t = 2.17, p = 0.031). The explanatory power of the constructed regression model for PRISM was 42.0% (F = 30.12, p < 0.001). To promote self-management among individuals with T1DM, the development of interventions that promote improved peer interactions, a family-centered approach, and a program that can minimize conflicts between families and parents are required.

scholarly journals The Relationship of Worry About Hypoglycemia With Diabetes-specific and Typical Youth Behavior Among Emerging Adults With Type 1 Diabetes

2014 ◽  
Vol 40 (4) ◽  
pp. 533-542 ◽  
Author(s):  
Kathleen M. Hanna ◽  
Michael T. Weaver ◽  
Timothy E. Stump ◽  
J. Dennis Fortenberry ◽  
Linda A. DiMeglio
Keyword(s):  
Type 1 Diabetes ◽  
Emerging Adults ◽  
Youth Behavior ◽  
Relationship Of ◽  
The Relationship

scholarly journals 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>

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