347-OR: Trends in Glycemic Control among Youth with Diabetes: The Search for Diabetes in Youth Study

Objective: To describe temporal trends in glycemic control in youth-onset diabetes. Methods: The study included 6399 SEARCH for Diabetes in Youth participants with diabetes >1 year. Visit data was categorized into 3 time periods: 2002-2007, 2008-2013, and 2014-2019 and 3 groups of diabetes durati...

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Veröffentlicht in:Diabetes (New York, N.Y.) N.Y.), 2020-06, Vol.69 (Supplement_1)
Hauptverfasser: MALIK, FAISAL, SAUDER, KATHERINE A., ISOM, SCOTT, ROBERTS, ALISSA J., MAYER-DAVIS, ELIZABETH J., DOLAN, LAWRENCE M., DABELEA, DANA, LAWRENCE, JEAN M., PIHOKER, CATHERINE
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container_issue Supplement_1
container_start_page
container_title Diabetes (New York, N.Y.)
container_volume 69
creator MALIK, FAISAL
SAUDER, KATHERINE A.
ISOM, SCOTT
ROBERTS, ALISSA J.
MAYER-DAVIS, ELIZABETH J.
DOLAN, LAWRENCE M.
DABELEA, DANA
LAWRENCE, JEAN M.
PIHOKER, CATHERINE
description Objective: To describe temporal trends in glycemic control in youth-onset diabetes. Methods: The study included 6399 SEARCH for Diabetes in Youth participants with diabetes >1 year. Visit data was categorized into 3 time periods: 2002-2007, 2008-2013, and 2014-2019 and 3 groups of diabetes duration: 1-4, 5-9, and 10+ years. Participants contributed one randomly selected data point to each duration group. Stratified multivariable regression models were used to test differences in hemoglobin A1c (A1c) over time, adjusted for site, age, sex, race/ethnicity, health insurance status, and disease duration, both overall (with repeated measures) and for each duration group. Results: Estimated mean A1c among individuals with type 1 diabetes (T1D) was different over the three periods with a higher mean A1c in 2014-2019 and 2008-2013 versus 2002-2007 (p
doi_str_mv 10.2337/db20-347-OR
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Methods: The study included 6399 SEARCH for Diabetes in Youth participants with diabetes &gt;1 year. Visit data was categorized into 3 time periods: 2002-2007, 2008-2013, and 2014-2019 and 3 groups of diabetes duration: 1-4, 5-9, and 10+ years. Participants contributed one randomly selected data point to each duration group. Stratified multivariable regression models were used to test differences in hemoglobin A1c (A1c) over time, adjusted for site, age, sex, race/ethnicity, health insurance status, and disease duration, both overall (with repeated measures) and for each duration group. Results: Estimated mean A1c among individuals with type 1 diabetes (T1D) was different over the three periods with a higher mean A1c in 2014-2019 and 2008-2013 versus 2002-2007 (p&lt;0.01; Table). There was a temporal difference in mean A1c for T1D participants with diabetes for 5-9 years (p&lt;0.01) and for T2D participants with diabetes 10+ years (p&lt;0.01). Conclusions: Despite increased availability of diabetes technology, newer therapies, and more aggressive glycemic targets over time, current youth and young adults with T1D in the U.S. have worse glycemic control than earlier cohorts. Similarly, participants with T2D diagnosed in childhood and diabetes duration of 10+ years exhibit the temporal trend of worse glycemic control in recent years.</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db20-347-OR</identifier><language>eng</language><publisher>New York: American Diabetes Association</publisher><subject>Children ; Diabetes ; Diabetes mellitus (insulin dependent) ; Glucose monitoring ; Hemoglobin ; Regression analysis ; Trends ; Young adults</subject><ispartof>Diabetes (New York, N.Y.), 2020-06, Vol.69 (Supplement_1)</ispartof><rights>Copyright American Diabetes Association Jun 1, 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1064-2b27ab5b80b4bf02214fccb438a51ce1d301acc4a75562939ab8128d85065d113</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>MALIK, FAISAL</creatorcontrib><creatorcontrib>SAUDER, KATHERINE A.</creatorcontrib><creatorcontrib>ISOM, SCOTT</creatorcontrib><creatorcontrib>ROBERTS, ALISSA J.</creatorcontrib><creatorcontrib>MAYER-DAVIS, ELIZABETH J.</creatorcontrib><creatorcontrib>DOLAN, LAWRENCE M.</creatorcontrib><creatorcontrib>DABELEA, DANA</creatorcontrib><creatorcontrib>LAWRENCE, JEAN M.</creatorcontrib><creatorcontrib>PIHOKER, CATHERINE</creatorcontrib><title>347-OR: Trends in Glycemic Control among Youth with Diabetes: The Search for Diabetes in Youth Study</title><title>Diabetes (New York, N.Y.)</title><description>Objective: To describe temporal trends in glycemic control in youth-onset diabetes. Methods: The study included 6399 SEARCH for Diabetes in Youth participants with diabetes &gt;1 year. Visit data was categorized into 3 time periods: 2002-2007, 2008-2013, and 2014-2019 and 3 groups of diabetes duration: 1-4, 5-9, and 10+ years. Participants contributed one randomly selected data point to each duration group. Stratified multivariable regression models were used to test differences in hemoglobin A1c (A1c) over time, adjusted for site, age, sex, race/ethnicity, health insurance status, and disease duration, both overall (with repeated measures) and for each duration group. Results: Estimated mean A1c among individuals with type 1 diabetes (T1D) was different over the three periods with a higher mean A1c in 2014-2019 and 2008-2013 versus 2002-2007 (p&lt;0.01; Table). There was a temporal difference in mean A1c for T1D participants with diabetes for 5-9 years (p&lt;0.01) and for T2D participants with diabetes 10+ years (p&lt;0.01). Conclusions: Despite increased availability of diabetes technology, newer therapies, and more aggressive glycemic targets over time, current youth and young adults with T1D in the U.S. have worse glycemic control than earlier cohorts. Similarly, participants with T2D diagnosed in childhood and diabetes duration of 10+ years exhibit the temporal trend of worse glycemic control in recent years.</description><subject>Children</subject><subject>Diabetes</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Glucose monitoring</subject><subject>Hemoglobin</subject><subject>Regression analysis</subject><subject>Trends</subject><subject>Young adults</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNo9kFtLAzEQhYMoWKtP_oGAjxLNdbPrm1StQqHQVtCnkNvaLe2mJrtI_70pKzIw8zDfnMMcAK4JvqOMyXtnKEaMSzRfnIARqViFGJUfp2CEMaGIyEqeg4uUNhjjItcIuIF-gKvoW5dg08Lp9mD9rrFwEtouhi3Uu9B-wc_Qd2v40-T21GjjO5_y1drDpdfRrmEd4v_iKDPwy653h0twVutt8ld_cwzeX55Xk1c0m0_fJo8zZAkuOKKGSm2EKbHhpsaUEl5bazgrtSDWE8cw0dZyLYUoaH5Om5LQ0pUCF8IRwsbgZtDdx_Dd-9SpTehjmy0V5aTiggnMM3U7UDaGlKKv1T42Ox0PimB1jFEdY1Q5GDVfsF9aemNk</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>MALIK, FAISAL</creator><creator>SAUDER, KATHERINE A.</creator><creator>ISOM, SCOTT</creator><creator>ROBERTS, ALISSA J.</creator><creator>MAYER-DAVIS, ELIZABETH J.</creator><creator>DOLAN, LAWRENCE M.</creator><creator>DABELEA, DANA</creator><creator>LAWRENCE, JEAN M.</creator><creator>PIHOKER, CATHERINE</creator><general>American Diabetes Association</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20200601</creationdate><title>347-OR: Trends in Glycemic Control among Youth with Diabetes: The Search for Diabetes in Youth Study</title><author>MALIK, FAISAL ; SAUDER, KATHERINE A. ; ISOM, SCOTT ; ROBERTS, ALISSA J. ; MAYER-DAVIS, ELIZABETH J. ; DOLAN, LAWRENCE M. ; DABELEA, DANA ; LAWRENCE, JEAN M. ; PIHOKER, CATHERINE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1064-2b27ab5b80b4bf02214fccb438a51ce1d301acc4a75562939ab8128d85065d113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Children</topic><topic>Diabetes</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Glucose monitoring</topic><topic>Hemoglobin</topic><topic>Regression analysis</topic><topic>Trends</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MALIK, FAISAL</creatorcontrib><creatorcontrib>SAUDER, KATHERINE A.</creatorcontrib><creatorcontrib>ISOM, SCOTT</creatorcontrib><creatorcontrib>ROBERTS, ALISSA J.</creatorcontrib><creatorcontrib>MAYER-DAVIS, ELIZABETH J.</creatorcontrib><creatorcontrib>DOLAN, LAWRENCE M.</creatorcontrib><creatorcontrib>DABELEA, DANA</creatorcontrib><creatorcontrib>LAWRENCE, JEAN M.</creatorcontrib><creatorcontrib>PIHOKER, CATHERINE</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MALIK, FAISAL</au><au>SAUDER, KATHERINE A.</au><au>ISOM, SCOTT</au><au>ROBERTS, ALISSA J.</au><au>MAYER-DAVIS, ELIZABETH J.</au><au>DOLAN, LAWRENCE M.</au><au>DABELEA, DANA</au><au>LAWRENCE, JEAN M.</au><au>PIHOKER, CATHERINE</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>347-OR: Trends in Glycemic Control among Youth with Diabetes: The Search for Diabetes in Youth Study</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><date>2020-06-01</date><risdate>2020</risdate><volume>69</volume><issue>Supplement_1</issue><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Objective: To describe temporal trends in glycemic control in youth-onset diabetes. Methods: The study included 6399 SEARCH for Diabetes in Youth participants with diabetes &gt;1 year. Visit data was categorized into 3 time periods: 2002-2007, 2008-2013, and 2014-2019 and 3 groups of diabetes duration: 1-4, 5-9, and 10+ years. Participants contributed one randomly selected data point to each duration group. Stratified multivariable regression models were used to test differences in hemoglobin A1c (A1c) over time, adjusted for site, age, sex, race/ethnicity, health insurance status, and disease duration, both overall (with repeated measures) and for each duration group. Results: Estimated mean A1c among individuals with type 1 diabetes (T1D) was different over the three periods with a higher mean A1c in 2014-2019 and 2008-2013 versus 2002-2007 (p&lt;0.01; Table). There was a temporal difference in mean A1c for T1D participants with diabetes for 5-9 years (p&lt;0.01) and for T2D participants with diabetes 10+ years (p&lt;0.01). Conclusions: Despite increased availability of diabetes technology, newer therapies, and more aggressive glycemic targets over time, current youth and young adults with T1D in the U.S. have worse glycemic control than earlier cohorts. Similarly, participants with T2D diagnosed in childhood and diabetes duration of 10+ years exhibit the temporal trend of worse glycemic control in recent years.</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db20-347-OR</doi></addata></record>
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subjects Children
Diabetes
Diabetes mellitus (insulin dependent)
Glucose monitoring
Hemoglobin
Regression analysis
Trends
Young adults
title 347-OR: Trends in Glycemic Control among Youth with Diabetes: The Search for Diabetes in Youth Study
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