Weight gain trajectories and obesity rates in intensive and conventional treatments of type 1 diabetes from the DCCT compared with a control population without diabetes.

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Title: Weight gain trajectories and obesity rates in intensive and conventional treatments of type 1 diabetes from the DCCT compared with a control population without diabetes.
Authors: Carlson NE; Department of Biostatistics and Informatics, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA., Horton KW; HQ USAFA/DFMS, USAF Academy, Colorado, USA., Hokanson JE; Department of Epidemiology, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA., Cleary PA; Biostatistics Center, George Washington University, Washington, District of Columbia, USA., Jacobs DR Jr; Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA., Brunzell JD; Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, Washington, USA., Purnell JQ; Knight Cardiovascular Institute and Division of Endocrinology, Diabetes, and Clinical Nutrition, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Corporate Authors: DCCT/EDIC research group
Source: Diabetic medicine : a journal of the British Diabetic Association [Diabet Med] 2022 May; Vol. 39 (5), pp. e14794. Date of Electronic Publication: 2022 Jan 26.
Publication Type: Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural
Journal Info: Publisher: Blackwell Science Country of Publication: England NLM ID: 8500858 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1464-5491 (Electronic) Linking ISSN: 07423071 NLM ISO Abbreviation: Diabet Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Weight gain trajectories and obesity rates in intensive and conventional treatments of type 1 diabetes from the DCCT compared with a control population without diabetes.
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  Data: <searchLink fieldCode="AU" term="%22Carlson+NE%22">Carlson NE</searchLink>; Department of Biostatistics and Informatics, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA.<br /><searchLink fieldCode="AU" term="%22Horton+KW%22">Horton KW</searchLink>; HQ USAFA/DFMS, USAF Academy, Colorado, USA.<br /><searchLink fieldCode="AU" term="%22Hokanson+JE%22">Hokanson JE</searchLink>; Department of Epidemiology, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA.<br /><searchLink fieldCode="AU" term="%22Cleary+PA%22">Cleary PA</searchLink>; Biostatistics Center, George Washington University, Washington, District of Columbia, USA.<br /><searchLink fieldCode="AU" term="%22Jacobs+DR+Jr%22">Jacobs DR Jr</searchLink>; Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA.<br /><searchLink fieldCode="AU" term="%22Brunzell+JD%22">Brunzell JD</searchLink>; Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, Washington, USA.<br /><searchLink fieldCode="AU" term="%22Purnell+JQ%22">Purnell JQ</searchLink>; Knight Cardiovascular Institute and Division of Endocrinology, Diabetes, and Clinical Nutrition, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
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  Data: <searchLink fieldCode="CA" term="%22DCCT%2FEDIC+research+group%22">DCCT/EDIC research group</searchLink>
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Science%22">Blackwell Science </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>8500858 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1464-5491 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207423071%22">07423071 </searchLink><i>NLM ISO Abbreviation: </i>Diabet Med <i>Subsets: </i>MEDLINE
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        Value: 10.1111/dme.14794
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        Text: English
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              Text: 2022 May
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              Y: 2022
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