The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents with type 1 diabetes
Aims Postprandial glycaemic variability carries on being a clinical challenge in optimizing glucose control in type 1 diabetes. The aim of this study was to compare the postprandial glycaemic effects of carbohydrate counting and food insulin index algorithms following the consumption of protein‐rich...
Gespeichert in:
| Veröffentlicht in: | Diabetic medicine 2021-03, Vol.38 (3), p.e14444-n/a |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | n/a |
|---|---|
| container_issue | 3 |
| container_start_page | e14444 |
| container_title | Diabetic medicine |
| container_volume | 38 |
| creator | Erdal, Busra Caferoglu, Zeynep Hatipoglu, Nihal |
| description | Aims
Postprandial glycaemic variability carries on being a clinical challenge in optimizing glucose control in type 1 diabetes. The aim of this study was to compare the postprandial glycaemic effects of carbohydrate counting and food insulin index algorithms following the consumption of protein‐rich, high‐fat meals with different glycaemic index (GI) in adolescents with type 1 diabetes.
Methods
A randomized, single‐blind and crossover trial included 15 adolescents aged 14–18 years with type 1 diabetes. Participants consumed two different test meals with similar energy, macronutrients and food insulin index but the approximately twofold difference in GI, in random order on four consecutive mornings at their home. Insulin dose for high‐ and low‐GI test meals was determined by using the carbohydrate counting and food insulin index algorithms. Four‐hour postprandial glycaemia was assessed by the continuous glucose monitoring system.
Results
Compared with carbohydrate counting, the food insulin index algorithm significantly decreased peak glucose excursion (−57%, p = 0.02), incremental area under the curve (−65%, p = 0.02) and coefficient variation of blood glucose (−37%, p = 0.03) in the high‐GI meal, though there was no difference between the two algorithms in the low‐GI meal. The occurrence of hypoglycaemia did not significantly differ between insulin dosing algorithms for the high‐GI (p = 0.58) and low‐GI (p = 0.20) meals.
Conclusions
The food insulin index algorithm may be beneficial for postprandial glycaemic control after the consumption of high‐GI meals in adolescents with type 1 diabetes. |
| doi_str_mv | 10.1111/dme.14444 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2455843369</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2489046126</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3534-4d90c0de5ca5602d548fd79bd73d3ada2e605f0069f4703a02d025b9d9be3ef3</originalsourceid><addsrcrecordid>eNp10bFu2zAQBmCiSNA4SYe-QHFAlmZQTIqkZI6Fm7QBEmTxLlDiyWZAii4pwfHcFw9jpx0K9BZy-O7HAT8hnxm9YXnmxuMNE3k-kBkTlSikUOyEzGgtyoLTmp2R85SeKWWl4uojOeOcMcW4nJHfqw1CF_xWR5vCAKGHcRfAo3aj9Qh2SJOzA5iQ7LAG7dYh2nHjE_QhwsauN6AHAy7sYO32nUZvu7xk8OWQkfIftAkOU4fDmGCXl2HcbxEYGKtbHDFdktM-U_z0_l6Q1d3tavmzeHj6cb_89lB0XHJRCKNoRw3KTsuKlkaKRW9q1ZqaG66NLrGisqe0Ur2oKdeZ0FK2yqgWOfb8gnw9xm5j-DVhGhtv81XO6QHDlJpSSLkQnFcq06t_6HOY4pCPy2qhqKhYWWV1fVRdDClF7JtttF7HfcNo81ZMk4tpDsVk--U9cWo9mr_yTxMZzI9gZx3u_5_UfH-8PUa-ArhemGo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2489046126</pqid></control><display><type>article</type><title>The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents with type 1 diabetes</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Erdal, Busra ; Caferoglu, Zeynep ; Hatipoglu, Nihal</creator><creatorcontrib>Erdal, Busra ; Caferoglu, Zeynep ; Hatipoglu, Nihal</creatorcontrib><description>Aims
Postprandial glycaemic variability carries on being a clinical challenge in optimizing glucose control in type 1 diabetes. The aim of this study was to compare the postprandial glycaemic effects of carbohydrate counting and food insulin index algorithms following the consumption of protein‐rich, high‐fat meals with different glycaemic index (GI) in adolescents with type 1 diabetes.
Methods
A randomized, single‐blind and crossover trial included 15 adolescents aged 14–18 years with type 1 diabetes. Participants consumed two different test meals with similar energy, macronutrients and food insulin index but the approximately twofold difference in GI, in random order on four consecutive mornings at their home. Insulin dose for high‐ and low‐GI test meals was determined by using the carbohydrate counting and food insulin index algorithms. Four‐hour postprandial glycaemia was assessed by the continuous glucose monitoring system.
Results
Compared with carbohydrate counting, the food insulin index algorithm significantly decreased peak glucose excursion (−57%, p = 0.02), incremental area under the curve (−65%, p = 0.02) and coefficient variation of blood glucose (−37%, p = 0.03) in the high‐GI meal, though there was no difference between the two algorithms in the low‐GI meal. The occurrence of hypoglycaemia did not significantly differ between insulin dosing algorithms for the high‐GI (p = 0.58) and low‐GI (p = 0.20) meals.
Conclusions
The food insulin index algorithm may be beneficial for postprandial glycaemic control after the consumption of high‐GI meals in adolescents with type 1 diabetes.</description><identifier>ISSN: 0742-3071</identifier><identifier>EISSN: 1464-5491</identifier><identifier>DOI: 10.1111/dme.14444</identifier><identifier>PMID: 33119135</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adolescent ; Adolescents ; Algorithms ; Blood glucose ; Blood Glucose - metabolism ; Blood Glucose Self-Monitoring ; carbohydrate counting ; Carbohydrates ; Cross-Over Studies ; Diabetes ; Diabetes mellitus (insulin dependent) ; Diabetes Mellitus, Type 1 - blood ; Diabetes Mellitus, Type 1 - drug therapy ; Dosage ; Drug Administration Schedule ; Drug Dosage Calculations ; Female ; Food ; food insulin index ; Glucose ; Glucose monitoring ; glycaemic index ; Glycemic index ; Glycemic Index - physiology ; Humans ; Hypoglycemia ; Insulin ; Insulin - administration & dosage ; Male ; Meals ; Meals - physiology ; Postprandial Period ; Single-Blind Method ; Teenagers ; Time Factors ; Turkey ; type 1 diabetes</subject><ispartof>Diabetic medicine, 2021-03, Vol.38 (3), p.e14444-n/a</ispartof><rights>2020 Diabetes UK</rights><rights>2020 Diabetes UK.</rights><rights>Diabetic Medicine © 2021 Diabetes UK</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3534-4d90c0de5ca5602d548fd79bd73d3ada2e605f0069f4703a02d025b9d9be3ef3</citedby><cites>FETCH-LOGICAL-c3534-4d90c0de5ca5602d548fd79bd73d3ada2e605f0069f4703a02d025b9d9be3ef3</cites><orcidid>0000-0002-0991-6539 ; 0000-0001-5533-0937 ; 0000-0002-7226-5636</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fdme.14444$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fdme.14444$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33119135$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Erdal, Busra</creatorcontrib><creatorcontrib>Caferoglu, Zeynep</creatorcontrib><creatorcontrib>Hatipoglu, Nihal</creatorcontrib><title>The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents with type 1 diabetes</title><title>Diabetic medicine</title><addtitle>Diabet Med</addtitle><description>Aims
Postprandial glycaemic variability carries on being a clinical challenge in optimizing glucose control in type 1 diabetes. The aim of this study was to compare the postprandial glycaemic effects of carbohydrate counting and food insulin index algorithms following the consumption of protein‐rich, high‐fat meals with different glycaemic index (GI) in adolescents with type 1 diabetes.
Methods
A randomized, single‐blind and crossover trial included 15 adolescents aged 14–18 years with type 1 diabetes. Participants consumed two different test meals with similar energy, macronutrients and food insulin index but the approximately twofold difference in GI, in random order on four consecutive mornings at their home. Insulin dose for high‐ and low‐GI test meals was determined by using the carbohydrate counting and food insulin index algorithms. Four‐hour postprandial glycaemia was assessed by the continuous glucose monitoring system.
Results
Compared with carbohydrate counting, the food insulin index algorithm significantly decreased peak glucose excursion (−57%, p = 0.02), incremental area under the curve (−65%, p = 0.02) and coefficient variation of blood glucose (−37%, p = 0.03) in the high‐GI meal, though there was no difference between the two algorithms in the low‐GI meal. The occurrence of hypoglycaemia did not significantly differ between insulin dosing algorithms for the high‐GI (p = 0.58) and low‐GI (p = 0.20) meals.
Conclusions
The food insulin index algorithm may be beneficial for postprandial glycaemic control after the consumption of high‐GI meals in adolescents with type 1 diabetes.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Algorithms</subject><subject>Blood glucose</subject><subject>Blood Glucose - metabolism</subject><subject>Blood Glucose Self-Monitoring</subject><subject>carbohydrate counting</subject><subject>Carbohydrates</subject><subject>Cross-Over Studies</subject><subject>Diabetes</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Diabetes Mellitus, Type 1 - blood</subject><subject>Diabetes Mellitus, Type 1 - drug therapy</subject><subject>Dosage</subject><subject>Drug Administration Schedule</subject><subject>Drug Dosage Calculations</subject><subject>Female</subject><subject>Food</subject><subject>food insulin index</subject><subject>Glucose</subject><subject>Glucose monitoring</subject><subject>glycaemic index</subject><subject>Glycemic index</subject><subject>Glycemic Index - physiology</subject><subject>Humans</subject><subject>Hypoglycemia</subject><subject>Insulin</subject><subject>Insulin - administration & dosage</subject><subject>Male</subject><subject>Meals</subject><subject>Meals - physiology</subject><subject>Postprandial Period</subject><subject>Single-Blind Method</subject><subject>Teenagers</subject><subject>Time Factors</subject><subject>Turkey</subject><subject>type 1 diabetes</subject><issn>0742-3071</issn><issn>1464-5491</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10bFu2zAQBmCiSNA4SYe-QHFAlmZQTIqkZI6Fm7QBEmTxLlDiyWZAii4pwfHcFw9jpx0K9BZy-O7HAT8hnxm9YXnmxuMNE3k-kBkTlSikUOyEzGgtyoLTmp2R85SeKWWl4uojOeOcMcW4nJHfqw1CF_xWR5vCAKGHcRfAo3aj9Qh2SJOzA5iQ7LAG7dYh2nHjE_QhwsauN6AHAy7sYO32nUZvu7xk8OWQkfIftAkOU4fDmGCXl2HcbxEYGKtbHDFdktM-U_z0_l6Q1d3tavmzeHj6cb_89lB0XHJRCKNoRw3KTsuKlkaKRW9q1ZqaG66NLrGisqe0Ur2oKdeZ0FK2yqgWOfb8gnw9xm5j-DVhGhtv81XO6QHDlJpSSLkQnFcq06t_6HOY4pCPy2qhqKhYWWV1fVRdDClF7JtttF7HfcNo81ZMk4tpDsVk--U9cWo9mr_yTxMZzI9gZx3u_5_UfH-8PUa-ArhemGo</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Erdal, Busra</creator><creator>Caferoglu, Zeynep</creator><creator>Hatipoglu, Nihal</creator><general>Wiley Subscription Services, Inc</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>7T5</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0991-6539</orcidid><orcidid>https://orcid.org/0000-0001-5533-0937</orcidid><orcidid>https://orcid.org/0000-0002-7226-5636</orcidid></search><sort><creationdate>202103</creationdate><title>The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents with type 1 diabetes</title><author>Erdal, Busra ; Caferoglu, Zeynep ; Hatipoglu, Nihal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3534-4d90c0de5ca5602d548fd79bd73d3ada2e605f0069f4703a02d025b9d9be3ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Algorithms</topic><topic>Blood glucose</topic><topic>Blood Glucose - metabolism</topic><topic>Blood Glucose Self-Monitoring</topic><topic>carbohydrate counting</topic><topic>Carbohydrates</topic><topic>Cross-Over Studies</topic><topic>Diabetes</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Diabetes Mellitus, Type 1 - blood</topic><topic>Diabetes Mellitus, Type 1 - drug therapy</topic><topic>Dosage</topic><topic>Drug Administration Schedule</topic><topic>Drug Dosage Calculations</topic><topic>Female</topic><topic>Food</topic><topic>food insulin index</topic><topic>Glucose</topic><topic>Glucose monitoring</topic><topic>glycaemic index</topic><topic>Glycemic index</topic><topic>Glycemic Index - physiology</topic><topic>Humans</topic><topic>Hypoglycemia</topic><topic>Insulin</topic><topic>Insulin - administration & dosage</topic><topic>Male</topic><topic>Meals</topic><topic>Meals - physiology</topic><topic>Postprandial Period</topic><topic>Single-Blind Method</topic><topic>Teenagers</topic><topic>Time Factors</topic><topic>Turkey</topic><topic>type 1 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Erdal, Busra</creatorcontrib><creatorcontrib>Caferoglu, Zeynep</creatorcontrib><creatorcontrib>Hatipoglu, Nihal</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetic medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Erdal, Busra</au><au>Caferoglu, Zeynep</au><au>Hatipoglu, Nihal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents with type 1 diabetes</atitle><jtitle>Diabetic medicine</jtitle><addtitle>Diabet Med</addtitle><date>2021-03</date><risdate>2021</risdate><volume>38</volume><issue>3</issue><spage>e14444</spage><epage>n/a</epage><pages>e14444-n/a</pages><issn>0742-3071</issn><eissn>1464-5491</eissn><abstract>Aims
Postprandial glycaemic variability carries on being a clinical challenge in optimizing glucose control in type 1 diabetes. The aim of this study was to compare the postprandial glycaemic effects of carbohydrate counting and food insulin index algorithms following the consumption of protein‐rich, high‐fat meals with different glycaemic index (GI) in adolescents with type 1 diabetes.
Methods
A randomized, single‐blind and crossover trial included 15 adolescents aged 14–18 years with type 1 diabetes. Participants consumed two different test meals with similar energy, macronutrients and food insulin index but the approximately twofold difference in GI, in random order on four consecutive mornings at their home. Insulin dose for high‐ and low‐GI test meals was determined by using the carbohydrate counting and food insulin index algorithms. Four‐hour postprandial glycaemia was assessed by the continuous glucose monitoring system.
Results
Compared with carbohydrate counting, the food insulin index algorithm significantly decreased peak glucose excursion (−57%, p = 0.02), incremental area under the curve (−65%, p = 0.02) and coefficient variation of blood glucose (−37%, p = 0.03) in the high‐GI meal, though there was no difference between the two algorithms in the low‐GI meal. The occurrence of hypoglycaemia did not significantly differ between insulin dosing algorithms for the high‐GI (p = 0.58) and low‐GI (p = 0.20) meals.
Conclusions
The food insulin index algorithm may be beneficial for postprandial glycaemic control after the consumption of high‐GI meals in adolescents with type 1 diabetes.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>33119135</pmid><doi>10.1111/dme.14444</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-0991-6539</orcidid><orcidid>https://orcid.org/0000-0001-5533-0937</orcidid><orcidid>https://orcid.org/0000-0002-7226-5636</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0742-3071 |
| ispartof | Diabetic medicine, 2021-03, Vol.38 (3), p.e14444-n/a |
| issn | 0742-3071 1464-5491 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2455843369 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Adolescent Adolescents Algorithms Blood glucose Blood Glucose - metabolism Blood Glucose Self-Monitoring carbohydrate counting Carbohydrates Cross-Over Studies Diabetes Diabetes mellitus (insulin dependent) Diabetes Mellitus, Type 1 - blood Diabetes Mellitus, Type 1 - drug therapy Dosage Drug Administration Schedule Drug Dosage Calculations Female Food food insulin index Glucose Glucose monitoring glycaemic index Glycemic index Glycemic Index - physiology Humans Hypoglycemia Insulin Insulin - administration & dosage Male Meals Meals - physiology Postprandial Period Single-Blind Method Teenagers Time Factors Turkey type 1 diabetes |
| title | The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents 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=2025-01-08T00%3A49%3A09IST&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=The%20comparison%20of%20two%20mealtime%20insulin%20dosing%20algorithms%20for%20high%20and%20low%20glycaemic%20index%20meals%20in%20adolescents%20with%20type%201%20diabetes&rft.jtitle=Diabetic%20medicine&rft.au=Erdal,%20Busra&rft.date=2021-03&rft.volume=38&rft.issue=3&rft.spage=e14444&rft.epage=n/a&rft.pages=e14444-n/a&rft.issn=0742-3071&rft.eissn=1464-5491&rft_id=info:doi/10.1111/dme.14444&rft_dat=%3Cproquest_cross%3E2489046126%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=2489046126&rft_id=info:pmid/33119135&rfr_iscdi=true |