Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes

Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Diabetes research and clinical practice 2013-01, Vol.99 (1), p.19-23
Hauptverfasser: Brazeau, A.S, Mircescu, H, Desjardins, K, Leroux, C, Strychar, I, Ekoé, J.M, Rabasa-Lhoret, R
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 23
container_issue 1
container_start_page 19
container_title Diabetes research and clinical practice
container_volume 99
creator Brazeau, A.S
Mircescu, H
Desjardins, K
Leroux, C
Strychar, I
Ekoé, J.M
Rabasa-Lhoret, R
description Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7 ± 11.1 years); diabetes duration: 21.4 ± 12.7 years; HbA1c: 7.2 ± 1.2% (60 ± 10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. Results The mean meal carbohydrate difference, between the patients’ estimates and those assessed by a dietitian using a computerized analysis program, was 15.4 ± 7.8 g or 20.9 ± 9.7% of the total CHO content per meal (72.4 ± 34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L ( R2 = 0.110, 0.114 and 0.110, respectively; P < 0.05). Conclusion Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes.
doi_str_mv 10.1016/j.diabres.2012.10.024
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1240900935</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0168822712003919</els_id><sourcerecordid>1240900935</sourcerecordid><originalsourceid>FETCH-LOGICAL-c420t-8bacf9a19156f2c026b956e394388ff39a4c21a78c8d3c1713ab84739e28cd523</originalsourceid><addsrcrecordid>eNqFkT1vFDEQhi1ERI7ATwC5pLnDH_thNyB0AhIpUopARWF5x7OJj731YXsT7b_Hyx0UNKlsjZ6Z136GkDecbTjjzfvdxnnbRUwbwbgotQ0T1TOy4qoVayVE-5ysCqf-3M_Jy5R2jLFGVvULci4krxrZ8hX5sbWxC_ezizYjhTCN2Y931AJM0cJM7ehoN4Tg6N0wQUhIH2wswX7weaZ-pNZNQ0700ed7mucDUk6Xh2HG9Iqc9XZI-Pp0XpDvXz5_216ur2--Xm0_Xa-hEiyvVWeh15ZrXje9ACaaTtcNSl1JpfpealuB4LZVoJwE3nJpO1W1UqNQ4GohL8i749xDDL8mTNnsfQIcBjtimJLhomKaMS3rgtZHFGJIKWJvDtHvbZwNZ2bxanbm5NUsXpdy8Vr63p4ipm6P7l_XX5EF-HgEsHz0wWM0CTyOgM5HhGxc8E9GfPhvAgx-9GCHnzhj2oUpjsWi4SYJw8ztstxlt1wwJjXX8jc4A6DA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1240900935</pqid></control><display><type>article</type><title>Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Brazeau, A.S ; Mircescu, H ; Desjardins, K ; Leroux, C ; Strychar, I ; Ekoé, J.M ; Rabasa-Lhoret, R</creator><creatorcontrib>Brazeau, A.S ; Mircescu, H ; Desjardins, K ; Leroux, C ; Strychar, I ; Ekoé, J.M ; Rabasa-Lhoret, R</creatorcontrib><description>Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7 ± 11.1 years); diabetes duration: 21.4 ± 12.7 years; HbA1c: 7.2 ± 1.2% (60 ± 10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. Results The mean meal carbohydrate difference, between the patients’ estimates and those assessed by a dietitian using a computerized analysis program, was 15.4 ± 7.8 g or 20.9 ± 9.7% of the total CHO content per meal (72.4 ± 34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L ( R2 = 0.110, 0.114 and 0.110, respectively; P &lt; 0.05). Conclusion Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes.</description><identifier>ISSN: 0168-8227</identifier><identifier>EISSN: 1872-8227</identifier><identifier>DOI: 10.1016/j.diabres.2012.10.024</identifier><identifier>PMID: 23146371</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Adult ; Blood Glucose - analysis ; Carbohydrate ; Combined Modality Therapy ; Cross-Sectional Studies ; Diabetes Mellitus, Type 1 - blood ; Diabetes Mellitus, Type 1 - diet therapy ; Diabetes Mellitus, Type 1 - drug therapy ; Diet ; Diet, Carbohydrate-Restricted ; Dietary Carbohydrates - administration &amp; dosage ; Endocrinology &amp; Metabolism ; Female ; Glucose variability ; Glycated Hemoglobin A - analysis ; Glycemic control ; Humans ; Hyperglycemia - prevention &amp; control ; Hypoglycemia - prevention &amp; control ; Hypoglycemic Agents - therapeutic use ; Insulin - therapeutic use ; Male ; Middle Aged ; Monitoring, Ambulatory ; Patient Compliance ; Patient Education as Topic ; Quebec ; Type 1 diabetes</subject><ispartof>Diabetes research and clinical practice, 2013-01, Vol.99 (1), p.19-23</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2012 Elsevier Ireland Ltd</rights><rights>Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-8bacf9a19156f2c026b956e394388ff39a4c21a78c8d3c1713ab84739e28cd523</citedby><cites>FETCH-LOGICAL-c420t-8bacf9a19156f2c026b956e394388ff39a4c21a78c8d3c1713ab84739e28cd523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.diabres.2012.10.024$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23146371$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brazeau, A.S</creatorcontrib><creatorcontrib>Mircescu, H</creatorcontrib><creatorcontrib>Desjardins, K</creatorcontrib><creatorcontrib>Leroux, C</creatorcontrib><creatorcontrib>Strychar, I</creatorcontrib><creatorcontrib>Ekoé, J.M</creatorcontrib><creatorcontrib>Rabasa-Lhoret, R</creatorcontrib><title>Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes</title><title>Diabetes research and clinical practice</title><addtitle>Diabetes Res Clin Pract</addtitle><description>Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7 ± 11.1 years); diabetes duration: 21.4 ± 12.7 years; HbA1c: 7.2 ± 1.2% (60 ± 10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. Results The mean meal carbohydrate difference, between the patients’ estimates and those assessed by a dietitian using a computerized analysis program, was 15.4 ± 7.8 g or 20.9 ± 9.7% of the total CHO content per meal (72.4 ± 34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L ( R2 = 0.110, 0.114 and 0.110, respectively; P &lt; 0.05). Conclusion Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes.</description><subject>Adult</subject><subject>Blood Glucose - analysis</subject><subject>Carbohydrate</subject><subject>Combined Modality Therapy</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes Mellitus, Type 1 - blood</subject><subject>Diabetes Mellitus, Type 1 - diet therapy</subject><subject>Diabetes Mellitus, Type 1 - drug therapy</subject><subject>Diet</subject><subject>Diet, Carbohydrate-Restricted</subject><subject>Dietary Carbohydrates - administration &amp; dosage</subject><subject>Endocrinology &amp; Metabolism</subject><subject>Female</subject><subject>Glucose variability</subject><subject>Glycated Hemoglobin A - analysis</subject><subject>Glycemic control</subject><subject>Humans</subject><subject>Hyperglycemia - prevention &amp; control</subject><subject>Hypoglycemia - prevention &amp; control</subject><subject>Hypoglycemic Agents - therapeutic use</subject><subject>Insulin - therapeutic use</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Monitoring, Ambulatory</subject><subject>Patient Compliance</subject><subject>Patient Education as Topic</subject><subject>Quebec</subject><subject>Type 1 diabetes</subject><issn>0168-8227</issn><issn>1872-8227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkT1vFDEQhi1ERI7ATwC5pLnDH_thNyB0AhIpUopARWF5x7OJj731YXsT7b_Hyx0UNKlsjZ6Z136GkDecbTjjzfvdxnnbRUwbwbgotQ0T1TOy4qoVayVE-5ysCqf-3M_Jy5R2jLFGVvULci4krxrZ8hX5sbWxC_ezizYjhTCN2Y931AJM0cJM7ehoN4Tg6N0wQUhIH2wswX7weaZ-pNZNQ0700ed7mucDUk6Xh2HG9Iqc9XZI-Pp0XpDvXz5_216ur2--Xm0_Xa-hEiyvVWeh15ZrXje9ACaaTtcNSl1JpfpealuB4LZVoJwE3nJpO1W1UqNQ4GohL8i749xDDL8mTNnsfQIcBjtimJLhomKaMS3rgtZHFGJIKWJvDtHvbZwNZ2bxanbm5NUsXpdy8Vr63p4ipm6P7l_XX5EF-HgEsHz0wWM0CTyOgM5HhGxc8E9GfPhvAgx-9GCHnzhj2oUpjsWi4SYJw8ztstxlt1wwJjXX8jc4A6DA</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Brazeau, A.S</creator><creator>Mircescu, H</creator><creator>Desjardins, K</creator><creator>Leroux, C</creator><creator>Strychar, I</creator><creator>Ekoé, J.M</creator><creator>Rabasa-Lhoret, R</creator><general>Elsevier Ireland Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20130101</creationdate><title>Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes</title><author>Brazeau, A.S ; Mircescu, H ; Desjardins, K ; Leroux, C ; Strychar, I ; Ekoé, J.M ; Rabasa-Lhoret, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-8bacf9a19156f2c026b956e394388ff39a4c21a78c8d3c1713ab84739e28cd523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Blood Glucose - analysis</topic><topic>Carbohydrate</topic><topic>Combined Modality Therapy</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes Mellitus, Type 1 - blood</topic><topic>Diabetes Mellitus, Type 1 - diet therapy</topic><topic>Diabetes Mellitus, Type 1 - drug therapy</topic><topic>Diet</topic><topic>Diet, Carbohydrate-Restricted</topic><topic>Dietary Carbohydrates - administration &amp; dosage</topic><topic>Endocrinology &amp; Metabolism</topic><topic>Female</topic><topic>Glucose variability</topic><topic>Glycated Hemoglobin A - analysis</topic><topic>Glycemic control</topic><topic>Humans</topic><topic>Hyperglycemia - prevention &amp; control</topic><topic>Hypoglycemia - prevention &amp; control</topic><topic>Hypoglycemic Agents - therapeutic use</topic><topic>Insulin - therapeutic use</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Monitoring, Ambulatory</topic><topic>Patient Compliance</topic><topic>Patient Education as Topic</topic><topic>Quebec</topic><topic>Type 1 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brazeau, A.S</creatorcontrib><creatorcontrib>Mircescu, H</creatorcontrib><creatorcontrib>Desjardins, K</creatorcontrib><creatorcontrib>Leroux, C</creatorcontrib><creatorcontrib>Strychar, I</creatorcontrib><creatorcontrib>Ekoé, J.M</creatorcontrib><creatorcontrib>Rabasa-Lhoret, R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes research and clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brazeau, A.S</au><au>Mircescu, H</au><au>Desjardins, K</au><au>Leroux, C</au><au>Strychar, I</au><au>Ekoé, J.M</au><au>Rabasa-Lhoret, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes</atitle><jtitle>Diabetes research and clinical practice</jtitle><addtitle>Diabetes Res Clin Pract</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>99</volume><issue>1</issue><spage>19</spage><epage>23</epage><pages>19-23</pages><issn>0168-8227</issn><eissn>1872-8227</eissn><abstract>Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7 ± 11.1 years); diabetes duration: 21.4 ± 12.7 years; HbA1c: 7.2 ± 1.2% (60 ± 10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. Results The mean meal carbohydrate difference, between the patients’ estimates and those assessed by a dietitian using a computerized analysis program, was 15.4 ± 7.8 g or 20.9 ± 9.7% of the total CHO content per meal (72.4 ± 34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L ( R2 = 0.110, 0.114 and 0.110, respectively; P &lt; 0.05). Conclusion Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>23146371</pmid><doi>10.1016/j.diabres.2012.10.024</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0168-8227
ispartof Diabetes research and clinical practice, 2013-01, Vol.99 (1), p.19-23
issn 0168-8227
1872-8227
language eng
recordid cdi_proquest_miscellaneous_1240900935
source MEDLINE; Access via ScienceDirect (Elsevier)
subjects Adult
Blood Glucose - analysis
Carbohydrate
Combined Modality Therapy
Cross-Sectional Studies
Diabetes Mellitus, Type 1 - blood
Diabetes Mellitus, Type 1 - diet therapy
Diabetes Mellitus, Type 1 - drug therapy
Diet
Diet, Carbohydrate-Restricted
Dietary Carbohydrates - administration & dosage
Endocrinology & Metabolism
Female
Glucose variability
Glycated Hemoglobin A - analysis
Glycemic control
Humans
Hyperglycemia - prevention & control
Hypoglycemia - prevention & control
Hypoglycemic Agents - therapeutic use
Insulin - therapeutic use
Male
Middle Aged
Monitoring, Ambulatory
Patient Compliance
Patient Education as Topic
Quebec
Type 1 diabetes
title Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T14%3A45%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Carbohydrate%20counting%20accuracy%20and%20blood%20glucose%20variability%20in%20adults%20with%20type%201%20diabetes&rft.jtitle=Diabetes%20research%20and%20clinical%20practice&rft.au=Brazeau,%20A.S&rft.date=2013-01-01&rft.volume=99&rft.issue=1&rft.spage=19&rft.epage=23&rft.pages=19-23&rft.issn=0168-8227&rft.eissn=1872-8227&rft_id=info:doi/10.1016/j.diabres.2012.10.024&rft_dat=%3Cproquest_cross%3E1240900935%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1240900935&rft_id=info:pmid/23146371&rft_els_id=S0168822712003919&rfr_iscdi=true