Literature DB >> 21458731

Associations between socioeconomic status and major complications in type 1 diabetes: the Pittsburgh epidemiology of diabetes complication (EDC) Study.

Aaron M Secrest1, Tina Costacou, Bruce Gutelius, Rachel G Miller, Thomas J Songer, Trevor J Orchard.   

Abstract

PURPOSE: To understand the effect of socioeconomic status (SES) on the risk of complications in type 1 diabetes (T1D), we explored the relationship between SES and major diabetes complications in a prospective, observational T1D cohort study.
METHODS: Complete data were available for 317 T1D persons within 4 years of age 28 (ages 24-32) in the Pittsburgh Epidemiology of Diabetes Complications Study. Age 28 was selected to maximize income, education, and occupation potential and to minimize the effect of advanced diabetes complications on SES.
RESULTS: The incidences over 1 to 20 years' follow-up of end-stage renal disease and coronary artery disease were two to three times greater for T1D individuals without, compared with those with a college degree (p < .05 for both), whereas the incidence of autonomic neuropathy was significantly greater for low-income and/or nonprofessional participants (p < .05 for both). HbA(1c) was inversely associated only with income level. In sex- and diabetes duration-adjusted Cox models, lower education predicted end-stage renal disease (hazard ratio [HR], 2.9; 95% confidence interval [95% CI], 1.1-7.7) and coronary artery disease (HR, 2.5, 95% CI, 1.3-4.9), whereas lower income predicted autonomic neuropathy (HR, 1.7; 95% CI, 1.0-2.9) and lower-extremity arterial disease (HR, 3.7; 95% CI, 1.1-11.9).
CONCLUSIONS: These associations, partially mediated by clinical risk factors, suggest that lower SES T1D individuals may have poorer self-management and, thus, greater complications from diabetes.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21458731      PMCID: PMC3079455          DOI: 10.1016/j.annepidem.2011.02.007

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  27 in total

1.  Measuring socioeconomic status: reliability and preliminary validity for different approaches.

Authors:  Paul T Cirino; Christopher E Chin; Rose A Sevcik; Maryanne Wolf; Maureen Lovett; Robin D Morris
Journal:  Assessment       Date:  2002-06

2.  Heparin--Mn2+ quantitation of high-density-lipoprotein cholesterol: an ultrafiltration procedure for lipemic samples.

Authors:  G R Warnick; J J Albers
Journal:  Clin Chem       Date:  1978-06       Impact factor: 8.327

3.  The hypertension detection and follow-up program: Hypertension detection and follow-up program cooperative group.

Authors: 
Journal:  Prev Med       Date:  1976-06       Impact factor: 4.018

4.  Widening socioeconomic mortality disparity among diabetic people in Finland.

Authors:  Erja Forssas; Ilmo Keskimäki; Antti Reunanen; Seppo Koskinen
Journal:  Eur J Public Health       Date:  2003-03       Impact factor: 3.367

5.  Cardiovascular survey methods.

Authors:  G A Rose; H Blackburn
Journal:  Monogr Ser World Health Organ       Date:  1968

6.  Sociodemographic determinants of glycaemic control in young diabetic patients in peninsular Malaysia.

Authors:  I S Ismail; W M Nazaimoon; W B Mohamad; R Letchuman; M Singaraveloo; R Pendek; I Faridah; R Rasat; I H Sheriff; B A Khalid
Journal:  Diabetes Res Clin Pract       Date:  2000-01       Impact factor: 5.602

7.  Risk factors for development of incipient and overt diabetic nephropathy in type 1 diabetic patients: a 10-year prospective observational study.

Authors:  Peter Rossing; Philip Hougaard; Hans-Henrik Parving
Journal:  Diabetes Care       Date:  2002-05       Impact factor: 19.112

8.  Mortality and educational level among diabetic and non-diabetic population in the Turin Longitudinal Study: a 9-year follow-up.

Authors:  Roberto Gnavi; Alessio Petrelli; Moreno Demaria; Teresa Spadea; Quirico Carta; Giuseppe Costa
Journal:  Int J Epidemiol       Date:  2004-05-06       Impact factor: 7.196

9.  Cardiometabolic risk and educational level in adult patients with type 1 diabetes.

Authors:  J Nádas; Z Putz; J Fövényi; Z Gaál; A Gyimesi; T Hídvégi; N Hosszúfalusi; G Neuwirth; T Oroszlán; P Pánczél; G Vándorfi; G Winkler; I Wittmann; G Jermendy
Journal:  Acta Diabetol       Date:  2008-10-09       Impact factor: 4.280

10.  Social class and risk factors for vascular disease in diabetes.

Authors:  N Robinson; L Edouard; A Diehl; J H Fuller
Journal:  Diabete Metab       Date:  1984-10
View more
  49 in total

1.  Primary Care Providers in California and Florida Report Low Confidence in Providing Type 1 Diabetes Care.

Authors:  Rayhan A Lal; Nicolas Cuttriss; Michael J Haller; Katarina Yabut; Claudia Anez-Zabala; Korey K Hood; Eleni Sheehan; Marina Basina; Angelina Bernier; Linda G Baer; Stephanie L Filipp; C Jason Wang; Marissa A Town; Matthew J Gurka; David M Maahs; Ashby F Walker
Journal:  Clin Diabetes       Date:  2020-04

2.  Neighborhood disadvantage, parent-adolescent relationship quality, and type 1 diabetes in late adolescents transitioning to early emerging adulthood.

Authors:  Daniel Mello; Deborah Wiebe; Ashley C Baker; Jonathan Butner; Cynthia Berg
Journal:  Soc Sci Med       Date:  2020-04-25       Impact factor: 4.634

3.  Effect of Covid-19 quarantine on diabetes Care in Children.

Authors:  Miriannette Gayoso; Whei Ying Lim; Madhuri S Mulekar; Anne-Marie D Kaulfers
Journal:  Clin Diabetes Endocrinol       Date:  2021-05-21

4.  Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke.

Authors:  Li Xie; Song Yang; David Squirrell; Ehsan Vaghefi
Journal:  PLoS One       Date:  2020-04-10       Impact factor: 3.240

5.  Risk factors differ by first manifestation of cardiovascular disease in type 1 diabetes.

Authors:  Rachel G Miller; Trevor J Orchard; Tina Costacou
Journal:  Diabetes Res Clin Pract       Date:  2020-04-08       Impact factor: 5.602

6.  Income Relates to Adherence in Youth with Type 1 Diabetes Through Parenting Constructs.

Authors:  Dexter M Thomas; Leah M Lipsky; Aiyi Liu; Tonja R Nansel
Journal:  J Dev Behav Pediatr       Date:  2018 Jul/Aug       Impact factor: 2.225

7.  The Neighborhood Deprivation Index and Provider Geocoding Identify Critical Catchment Areas for Diabetes Outreach.

Authors:  Ashby F Walker; Hui Hu; Nicolas Cuttriss; Claudia Anez-Zabala; Katarina Yabut; Michael J Haller; David M Maahs
Journal:  J Clin Endocrinol Metab       Date:  2020-09-01       Impact factor: 5.958

8.  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

9.  Diabetes Mellitus and Stroke - A cross Sectional Study of 2.5 Million Adults in the United States.

Authors:  Irene Rethemiotaki
Journal:  Maedica (Bucur)       Date:  2020-03

10.  Uses and Misuses of Patient- and Neighborhood-level Social Determinants of Health Data.

Authors:  Laura M Gottlieb; Damon E Francis; Andrew F Beck
Journal:  Perm J       Date:  2018
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.