Literature DB >> 25515167

Trends in diabetes incidence among 7 million insured adults, 2006-2011: the SUPREME-DM project.

Gregory A Nichols, Emily B Schroeder, Andrew J Karter, Edward W Gregg, Jay Desai, Jean M Lawrence, Patrick J O'Connor, Stanley Xu, Katherine M Newton, Marsha A Raebel, Ram D Pathak, Beth Waitzfelder, Jodi Segal, Jennifer Elston Lafata, Melissa G Butler, H Lester Kirchner, Abraham Thomas, John F Steiner.   

Abstract

An observational cohort analysis was conducted within the Surveillance, Prevention, and Management of Diabetes Mellitus (SUPREME-DM) DataLink, a consortium of 11 integrated health-care delivery systems with electronic health records in 10 US states. Among nearly 7 million adults aged 20 years or older, we estimated annual diabetes incidence per 1,000 persons overall and by age, sex, race/ethnicity, and body mass index. We identified 289,050 incident cases of diabetes. Age- and sex-adjusted population incidence was stable between 2006 and 2010, ranging from 10.3 per 1,000 adults (95% confidence interval (CI): 9.8, 10.7) to 11.3 per 1,000 adults (95% CI: 11.0, 11.7). Adjusted incidence was significantly higher in 2011 (11.5, 95% CI: 10.9, 12.0) than in the 2 years with the lowest incidence. A similar pattern was observed in most prespecified subgroups, but only the differences for persons who were not white were significant. In 2006, 56% of incident cases had a glycated hemoglobin (hemoglobin A1c) test as one of the pair of events identifying diabetes. By 2011, that number was 74%. In conclusion, overall diabetes incidence in this population did not significantly increase between 2006 and 2010, but increases in hemoglobin A1c testing may have contributed to rising diabetes incidence among nonwhites in 2011.
© The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  diabetes mellitus; glycated hemoglobin; hemoglobin A1c; incidence; trends

Mesh:

Substances:

Year:  2014        PMID: 25515167      PMCID: PMC4288120          DOI: 10.1093/aje/kwu255

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  36 in total

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Review 2.  Implications of using hemoglobin A1C for diagnosing diabetes mellitus.

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3.  Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010.

Authors:  Katherine M Flegal; Margaret D Carroll; Brian K Kit; Cynthia L Ogden
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4.  International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes.

Authors: 
Journal:  Diabetes Care       Date:  2009-06-05       Impact factor: 17.152

5.  Screening for diabetes and pre-diabetes with proposed A1C-based diagnostic criteria.

Authors:  Darin E Olson; Mary K Rhee; Kirsten Herrick; David C Ziemer; Jennifer G Twombly; Lawrence S Phillips
Journal:  Diabetes Care       Date:  2010-07-16       Impact factor: 19.112

Review 6.  National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants.

Authors:  Goodarz Danaei; Mariel M Finucane; Yuan Lu; Gitanjali M Singh; Melanie J Cowan; Christopher J Paciorek; John K Lin; Farshad Farzadfar; Young-Ho Khang; Gretchen A Stevens; Mayuree Rao; Mohammed K Ali; Leanne M Riley; Carolyn A Robinson; Majid Ezzati
Journal:  Lancet       Date:  2011-06-24       Impact factor: 79.321

7.  Construction of a multisite DataLink using electronic health records for the identification, surveillance, prevention, and management of diabetes mellitus: the SUPREME-DM project.

Authors:  Gregory A Nichols; Jay Desai; Jennifer Elston Lafata; Jean M Lawrence; Patrick J O'Connor; Ram D Pathak; Marsha A Raebel; Robert J Reid; Joseph V Selby; Barbara G Silverman; John F Steiner; W F Stewart; Suma Vupputuri; Beth Waitzfelder
Journal:  Prev Chronic Dis       Date:  2012-06-07       Impact factor: 2.830

Review 8.  A1C versus glucose testing: a comparison.

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Journal:  Diabetes Care       Date:  2011-02       Impact factor: 19.112

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Authors:  Edward W Gregg; Yiling J Cheng; Sharon Saydah; Catherine Cowie; Sanford Garfield; Linda Geiss; Lawrence Barker
Journal:  Diabetes Care       Date:  2012-06       Impact factor: 19.112

10.  Diagnosis and classification of diabetes mellitus.

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Authors:  Maxwell J Richardson; Stephen K Van Den Eeden; Eric Roberts; Assiamira Ferrara; Susan Paulukonis; Paul English
Journal:  Public Health Rep       Date:  2017-06-06       Impact factor: 2.792

Review 3.  Advancing Measurement of Diabetes at the Population Level.

Authors:  Mohammed K Ali; Karen R Siegel; Michael Laxy; Edward W Gregg
Journal:  Curr Diab Rep       Date:  2018-09-19       Impact factor: 4.810

4.  The longitudinal relationship between food insecurity in older adults with diabetes and emergency department visits, hospitalizations, hemoglobin A1c, and medication adherence.

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Journal:  J Diabetes Complications       Date:  2018-12-06       Impact factor: 2.852

5.  Relationships between Medication Adherence and Cardiovascular Disease Risk Factor Control in Elderly Patients with Diabetes.

Authors:  Marsha A Raebel; Wendy Dyer; Gregory A Nichols; Glenn K Goodrich; Julie A Schmittdiel
Journal:  Pharmacotherapy       Date:  2017-09-12       Impact factor: 4.705

6.  Racial/Ethnic Disparities in the Prevalence of Diabetes and Prediabetes by BMI: Patient Outcomes Research To Advance Learning (PORTAL) Multisite Cohort of Adults in the U.S.

Authors:  Yeyi Zhu; Margo A Sidell; David Arterburn; Matthew F Daley; Jay Desai; Stephanie L Fitzpatrick; Michael A Horberg; Corinna Koebnick; Emily McCormick; Caryn Oshiro; Deborah R Young; Assiamira Ferrara
Journal:  Diabetes Care       Date:  2019-09-19       Impact factor: 19.112

7.  Technology-Enabled Outreach to Patients Taking High-Risk Medications Reduces a Quality Gap in Completion of Clinical Laboratory Testing.

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8.  Cohort restriction based on prior enrollment: Examining potential biases in estimating cancer and mortality risk.

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Review 10.  Resting-state functional MR imaging shed insights into the brain of diabetes.

Authors:  Yun Fei Wang; Xue Man Ji; Guang Ming Lu; Long Jiang Zhang
Journal:  Metab Brain Dis       Date:  2016-07-26       Impact factor: 3.584

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