Literature DB >> 23539732

Linear association between household income and metabolic control in children with insulin-dependent diabetes mellitus despite free access to health care.

Johnny Deladoëy1, Mélanie Henderson, Louis Geoffroy.   

Abstract

BACKGROUND: In health care systems with a user fee, the impact of socioeconomic factors on pediatric insulin-dependent diabetes mellitus (IDDM) control could be due to the cost of accessing care. HYPOTHESIS: There is a linear association between household income and the average glycosylated hemoglobin (HbA1c) of children and adolescents with IDDM despite free access to health care.
METHODS: We used a linear regression model to examine the association between normalized average HbA1c of 1766 diabetic children (diagnosed at our institution from 1980 to 2011 before 17 years of age) and the median household income of their neighborhoods (obtained from Statistics Canada, 2006 Census data).
RESULTS: We found a negative linear association (P < .001; r = -0.2) between the level of income and metabolic control assessed by HbA1c after controlling for sex, age at diagnosis, duration of diabetes, ethnicity, geographical factors, frequency of visits, current age (as a proxy for change in practice over time), and change of measurement methods of HbA1c across time. For every increase of $15,000 in annual income, HbA1c decreased by 0.1%.
CONCLUSION: We report a linear association of household income with metabolic control of IDDM in childhood. Given that Canada has a system of free universal access to health care, confounding by access to care is unlikely. Considering the impact of poorly controlled IDDM in childhood on the development of long-term complications, our findings suggest that the higher complication rate found in adults of low socioeconomic status might originate from the poor control that they experienced in childhood. Support for the care of IDDM children from low-income neighborhoods should be increased.

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Year:  2013        PMID: 23539732     DOI: 10.1210/jc.2013-1212

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  7 in total

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Authors:  Dexter M Thomas; Leah M Lipsky; Aiyi Liu; Tonja R Nansel
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2.  Variation in Patient-Described Barriers to and Facilitators of Diabetes Management by Individual-Level Characteristics: A Cross-Sectional, Open-Ended Survey.

Authors:  David J T Campbell; Harleen Ghuttora; Ana Mladenovic; Jordan Smith; Ryan Leigh; Laura Desveaux; Noah Ivers; Braden Manns; Marcello Tonelli; Christopher Naugler; Brenda Hemmelgarn; Kerry A McBrien
Journal:  Clin Diabetes       Date:  2022

3.  Efficacy of a Behavioral Intervention for Pediatric Type 1 Diabetes Across Income.

Authors:  Tonja R Nansel; Dexter M Thomas; Aiyi Liu
Journal:  Am J Prev Med       Date:  2015-07-29       Impact factor: 5.043

4.  Prevalence and risk factors of diabetes and diabetic retinopathy in Liaoning province, China: a population-based cross-sectional study.

Authors:  Yuedong Hu; Weiping Teng; Limin Liu; Kang Chen; Lei Liu; Rui Hua; Jun Chen; Yun Zhou; Lei Chen
Journal:  PLoS One       Date:  2015-03-18       Impact factor: 3.240

5.  Ethnic differences in early glycemic control in childhood-onset type 1 diabetes.

Authors:  Amal R Khanolkar; Rakesh Amin; David Taylor-Robinson; Russell M Viner; Justin Warner; Evelien F Gevers; Terence Stephenson
Journal:  BMJ Open Diabetes Res Care       Date:  2017-08-07

6.  Impact of Socioeconomic Characteristics on Metabolic Control in Children with Type 1 Diabetes in a Developing Country

Authors:  Abeer Alassaf; Rasha Odeh; Lubna Gharaibeh; Sarah Ibrahim; Kamel Ajlouni
Journal:  J Clin Res Pediatr Endocrinol       Date:  2019-04-17

7.  Full-Time or Working Caregiver? A Health Economics Perspective on the Supply of Care for Type 1 Diabetes Patients.

Authors:  Sayaka Sakoda
Journal:  Int J Environ Res Public Health       Date:  2022-01-31       Impact factor: 3.390

  7 in total

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