Dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes
Abstract Aims To determine the association between dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes. Methods Type 1 adolescents from a randomized trial wore a blinded continuous glucose monitoring (CGM) system at baseline for one week in free-living conditions....
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Veröffentlicht in: | Journal of diabetes and its complications 2017-08, Vol.31 (8), p.1340-1347 |
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creator | Zhong, Victor W Crandell, Jamie L Shay, Christina M Gordon-Larsen, Penny Cole, Stephen R Juhaeri, Juhaeri Kahkoska, Anna R Maahs, David M Seid, Michael Forlenza, Gregory P Mayer-Davis, Elizabeth J |
description | Abstract Aims To determine the association between dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes. Methods Type 1 adolescents from a randomized trial wore a blinded continuous glucose monitoring (CGM) system at baseline for one week in free-living conditions. Dietary intake was calculated as the average from two 24-h dietary recalls. Non-severe hypoglycemia was defined as having blood glucose < 70 mg/dL for ≥ 10 min but not requiring external assistance, categorized as daytime and nocturnal (11 PM–7AM). Data were analyzed using logistic regression models. Results Among 98 participants with 14,277 h of CGM data, 70 had daytime hypoglycemia, 66 had nocturnal hypoglycemia, 55 had both, and 17 had neither. Soluble fiber and protein intake were positively associated with both daytime and nocturnal hypoglycemia. Glycemic index, monounsaturated fat, and polyunsaturated fat were negatively associated with daytime hypoglycemia only. Adjusting for total daily insulin dose per kilogram eliminated all associations. Conclusions Dietary intake was differentially associated with daytime and nocturnal hypoglycemia. Over 80% of type 1 adolescents had hypoglycemia in a week, which may be attributed to the mismatch between optimal insulin dose needed for each meal and actually delivered insulin dose without considering quality of carbohydrate and nutrients beyond carbohydrate. Clinical trial registration ClinicalTrials.gov identifier: NCT01286350. |
doi_str_mv | 10.1016/j.jdiacomp.2017.04.017 |
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Methods Type 1 adolescents from a randomized trial wore a blinded continuous glucose monitoring (CGM) system at baseline for one week in free-living conditions. Dietary intake was calculated as the average from two 24-h dietary recalls. Non-severe hypoglycemia was defined as having blood glucose < 70 mg/dL for ≥ 10 min but not requiring external assistance, categorized as daytime and nocturnal (11 PM–7AM). Data were analyzed using logistic regression models. Results Among 98 participants with 14,277 h of CGM data, 70 had daytime hypoglycemia, 66 had nocturnal hypoglycemia, 55 had both, and 17 had neither. Soluble fiber and protein intake were positively associated with both daytime and nocturnal hypoglycemia. Glycemic index, monounsaturated fat, and polyunsaturated fat were negatively associated with daytime hypoglycemia only. Adjusting for total daily insulin dose per kilogram eliminated all associations. Conclusions Dietary intake was differentially associated with daytime and nocturnal hypoglycemia. Over 80% of type 1 adolescents had hypoglycemia in a week, which may be attributed to the mismatch between optimal insulin dose needed for each meal and actually delivered insulin dose without considering quality of carbohydrate and nutrients beyond carbohydrate. Clinical trial registration ClinicalTrials.gov identifier: NCT01286350.</description><identifier>ISSN: 1056-8727</identifier><identifier>EISSN: 1873-460X</identifier><identifier>DOI: 10.1016/j.jdiacomp.2017.04.017</identifier><identifier>PMID: 28476567</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Continuous glucose monitoring ; Diabetes ; Diet ; Dietary intake ; Endocrinology & Metabolism ; Glucose ; Glucose monitoring ; Glycemic index ; Hypoglycemia ; Insulin ; Meals ; Nutrition ; Quantitative analysis ; Risk factors ; Students ; Teenagers ; Type 1 diabetes</subject><ispartof>Journal of diabetes and its complications, 2017-08, Vol.31 (8), p.1340-1347</ispartof><rights>Elsevier Inc.</rights><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Aug 1, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c554t-78ec2e64ebd4732fe108401176e243451171447387cd8ea53b82e55f46092e013</citedby><cites>FETCH-LOGICAL-c554t-78ec2e64ebd4732fe108401176e243451171447387cd8ea53b82e55f46092e013</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1917931994?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28476567$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhong, Victor W</creatorcontrib><creatorcontrib>Crandell, Jamie L</creatorcontrib><creatorcontrib>Shay, Christina M</creatorcontrib><creatorcontrib>Gordon-Larsen, Penny</creatorcontrib><creatorcontrib>Cole, Stephen R</creatorcontrib><creatorcontrib>Juhaeri, Juhaeri</creatorcontrib><creatorcontrib>Kahkoska, Anna R</creatorcontrib><creatorcontrib>Maahs, David M</creatorcontrib><creatorcontrib>Seid, Michael</creatorcontrib><creatorcontrib>Forlenza, Gregory P</creatorcontrib><creatorcontrib>Mayer-Davis, Elizabeth J</creatorcontrib><title>Dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes</title><title>Journal of diabetes and its complications</title><addtitle>J Diabetes Complications</addtitle><description>Abstract Aims To determine the association between dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes. Methods Type 1 adolescents from a randomized trial wore a blinded continuous glucose monitoring (CGM) system at baseline for one week in free-living conditions. Dietary intake was calculated as the average from two 24-h dietary recalls. Non-severe hypoglycemia was defined as having blood glucose < 70 mg/dL for ≥ 10 min but not requiring external assistance, categorized as daytime and nocturnal (11 PM–7AM). Data were analyzed using logistic regression models. Results Among 98 participants with 14,277 h of CGM data, 70 had daytime hypoglycemia, 66 had nocturnal hypoglycemia, 55 had both, and 17 had neither. Soluble fiber and protein intake were positively associated with both daytime and nocturnal hypoglycemia. Glycemic index, monounsaturated fat, and polyunsaturated fat were negatively associated with daytime hypoglycemia only. Adjusting for total daily insulin dose per kilogram eliminated all associations. Conclusions Dietary intake was differentially associated with daytime and nocturnal hypoglycemia. Over 80% of type 1 adolescents had hypoglycemia in a week, which may be attributed to the mismatch between optimal insulin dose needed for each meal and actually delivered insulin dose without considering quality of carbohydrate and nutrients beyond carbohydrate. Clinical trial registration ClinicalTrials.gov identifier: NCT01286350.</description><subject>Continuous glucose monitoring</subject><subject>Diabetes</subject><subject>Diet</subject><subject>Dietary intake</subject><subject>Endocrinology & Metabolism</subject><subject>Glucose</subject><subject>Glucose monitoring</subject><subject>Glycemic index</subject><subject>Hypoglycemia</subject><subject>Insulin</subject><subject>Meals</subject><subject>Nutrition</subject><subject>Quantitative analysis</subject><subject>Risk factors</subject><subject>Students</subject><subject>Teenagers</subject><subject>Type 1 diabetes</subject><issn>1056-8727</issn><issn>1873-460X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFUk1v1DAQjRCIlsJfqCxx4ZJgO_7KpQK1fEmVOPAhbpbXmXSdTexgZxfl3-No2wK9cJqR5s2befOmKM4Jrggm4nVf9a0zNoxTRTGRFWZVDo-KU6JkXTKBfzzOOeaiVJLKk-JZSj3GWHBOnhYnVDEpuJCnxfcrB7OJC3J-NjtAxrcourRDoUM--DLBASKg7TKFm2GxMDqToci0YYBkwc8J_XLzFs3LBIigvNMGZkjPiyedGRK8uI1nxbf3775efiyvP3_4dPn2urScs7mUCiwFwWDTMlnTDghWDBMiBVBWM54zwnJFSdsqMLzeKAqcd1lfQwGT-qy4OPJO-80I7bpQNIOeohuzKB2M0_9WvNvqm3DQnFMhCc4Er24JYvi5hzTr0WVdw2A8hH3SRDUC1_mEKkNfPoD2YR99lqdJQ2RTk6ZhGSWOKBtDShG6-2UI1qt1utd31unVOo2ZziE3nv8t5b7tzqsMeHMEQD7owUHUyTrwFloXwc66De7_My4eUNjBeWfNsIMF0h89OlGN9Zf1gdb_IaLGDWe4_g1xyMJQ</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Zhong, Victor W</creator><creator>Crandell, Jamie L</creator><creator>Shay, Christina M</creator><creator>Gordon-Larsen, Penny</creator><creator>Cole, Stephen R</creator><creator>Juhaeri, Juhaeri</creator><creator>Kahkoska, Anna R</creator><creator>Maahs, David M</creator><creator>Seid, Michael</creator><creator>Forlenza, Gregory P</creator><creator>Mayer-Davis, Elizabeth J</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K6X</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170801</creationdate><title>Dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes</title><author>Zhong, Victor W ; Crandell, Jamie L ; Shay, Christina M ; Gordon-Larsen, Penny ; Cole, Stephen R ; Juhaeri, Juhaeri ; Kahkoska, Anna R ; Maahs, David M ; Seid, Michael ; Forlenza, Gregory P ; Mayer-Davis, Elizabeth J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c554t-78ec2e64ebd4732fe108401176e243451171447387cd8ea53b82e55f46092e013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Continuous glucose monitoring</topic><topic>Diabetes</topic><topic>Diet</topic><topic>Dietary intake</topic><topic>Endocrinology & Metabolism</topic><topic>Glucose</topic><topic>Glucose monitoring</topic><topic>Glycemic index</topic><topic>Hypoglycemia</topic><topic>Insulin</topic><topic>Meals</topic><topic>Nutrition</topic><topic>Quantitative analysis</topic><topic>Risk factors</topic><topic>Students</topic><topic>Teenagers</topic><topic>Type 1 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhong, Victor W</creatorcontrib><creatorcontrib>Crandell, Jamie L</creatorcontrib><creatorcontrib>Shay, Christina M</creatorcontrib><creatorcontrib>Gordon-Larsen, Penny</creatorcontrib><creatorcontrib>Cole, Stephen R</creatorcontrib><creatorcontrib>Juhaeri, Juhaeri</creatorcontrib><creatorcontrib>Kahkoska, Anna R</creatorcontrib><creatorcontrib>Maahs, David M</creatorcontrib><creatorcontrib>Seid, Michael</creatorcontrib><creatorcontrib>Forlenza, Gregory P</creatorcontrib><creatorcontrib>Mayer-Davis, Elizabeth J</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>British Nursing Index</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of diabetes and its complications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhong, Victor W</au><au>Crandell, Jamie L</au><au>Shay, Christina M</au><au>Gordon-Larsen, Penny</au><au>Cole, Stephen R</au><au>Juhaeri, Juhaeri</au><au>Kahkoska, Anna R</au><au>Maahs, David M</au><au>Seid, Michael</au><au>Forlenza, Gregory P</au><au>Mayer-Davis, Elizabeth J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes</atitle><jtitle>Journal of diabetes and its complications</jtitle><addtitle>J Diabetes Complications</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>31</volume><issue>8</issue><spage>1340</spage><epage>1347</epage><pages>1340-1347</pages><issn>1056-8727</issn><eissn>1873-460X</eissn><abstract>Abstract Aims To determine the association between dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes. Methods Type 1 adolescents from a randomized trial wore a blinded continuous glucose monitoring (CGM) system at baseline for one week in free-living conditions. Dietary intake was calculated as the average from two 24-h dietary recalls. Non-severe hypoglycemia was defined as having blood glucose < 70 mg/dL for ≥ 10 min but not requiring external assistance, categorized as daytime and nocturnal (11 PM–7AM). Data were analyzed using logistic regression models. Results Among 98 participants with 14,277 h of CGM data, 70 had daytime hypoglycemia, 66 had nocturnal hypoglycemia, 55 had both, and 17 had neither. Soluble fiber and protein intake were positively associated with both daytime and nocturnal hypoglycemia. Glycemic index, monounsaturated fat, and polyunsaturated fat were negatively associated with daytime hypoglycemia only. Adjusting for total daily insulin dose per kilogram eliminated all associations. Conclusions Dietary intake was differentially associated with daytime and nocturnal hypoglycemia. Over 80% of type 1 adolescents had hypoglycemia in a week, which may be attributed to the mismatch between optimal insulin dose needed for each meal and actually delivered insulin dose without considering quality of carbohydrate and nutrients beyond carbohydrate. Clinical trial registration ClinicalTrials.gov identifier: NCT01286350.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28476567</pmid><doi>10.1016/j.jdiacomp.2017.04.017</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Continuous glucose monitoring Diabetes Diet Dietary intake Endocrinology & Metabolism Glucose Glucose monitoring Glycemic index Hypoglycemia Insulin Meals Nutrition Quantitative analysis Risk factors Students Teenagers Type 1 diabetes |
title | Dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes |
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