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Effects of whole grain intake on glycemic traits: A systematic review and meta-analysis of randomized controlled trials
Whole grains (WGs) may have various health benefits, including lowering blood glucose and improving insulin sensitivity. To conduct a meta-analysis of the effects of WGs compared with non-WGs on changes in fasting glucose, fasting insulin, glycated hemoglobin (HbA1c), and homeostasis model assessmen...
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Published in: | Critical reviews in food science and nutrition 2023, Vol.63 (20), p.4351-4370 |
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description | Whole grains (WGs) may have various health benefits, including lowering blood glucose and improving insulin sensitivity. To conduct a meta-analysis of the effects of WGs compared with non-WGs on changes in fasting glucose, fasting insulin, glycated hemoglobin (HbA1c), and homeostasis model assessment of insulin resistance (HOMA-IR). A systematic literature search was performed for all published randomized controlled trials on the effects of WG intake on fasting glucose, fasting insulin, HbA1c and HOMA-IR response up to February 2021. Weighted mean differences (WMD) were calculated. Pre-specified subgroup and univariate meta-regression analyses were explored to identify the sources of heterogeneity. Sensitivity analysis and bias analysis were conducted to appraise study quality. Among 12,435 articles screened for eligibility, data were extracted from 48 articles. Meta-analysis of 4,118 participants showed that WG consumption resulted in a significant reduction in fasting glucose by −0.15 mmol/L, fasting insulin by −2.71 pmol/L, HbA1c by −0.44%, and HOMA-IR by −0.28, respectively. Compared with mixed grains, brown rice, and wheat, oats were significantly lower on marker of glycemic. Besides, multiple interventions per day consolidated effectiveness of WGs. WG consumption decreased the levels of fasting glucose, fasting insulin, HbA1c, and HOMA-IR compared with non-WG consumption.
Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2021.2001429 . |
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Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2021.2001429 .</description><identifier>ISSN: 1040-8398</identifier><identifier>EISSN: 1549-7852</identifier><identifier>DOI: 10.1080/10408398.2021.2001429</identifier><identifier>PMID: 34793262</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>Blood Glucose ; Clinical trials ; Consumption ; Diabetes Mellitus, Type 2 ; Fasting ; Glucose ; Glycated Hemoglobin ; Grain ; HbA1c ; Hemoglobin ; Heterogeneity ; HOMA-IR ; Homeostasis ; Humans ; Insulin ; Insulin Resistance ; Laboratory testing ; Meta-analysis ; Randomized Controlled Trials as Topic ; Regression analysis ; Sensitivity analysis ; Subgroups ; Whole Grains</subject><ispartof>Critical reviews in food science and nutrition, 2023, Vol.63 (20), p.4351-4370</ispartof><rights>2021 Taylor & Francis Group, LLC 2021</rights><rights>2021 Taylor & Francis Group, LLC</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-7456c73eb4738d65a077eab80940c9a8c6e1b1be9423f1a516ea585b2a5a6f8e3</citedby><cites>FETCH-LOGICAL-c394t-7456c73eb4738d65a077eab80940c9a8c6e1b1be9423f1a516ea585b2a5a6f8e3</cites><orcidid>0000-0003-0253-1780</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34793262$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Shixiang</creatorcontrib><creatorcontrib>Zong, Aizhen</creatorcontrib><creatorcontrib>An, Ran</creatorcontrib><creatorcontrib>Wang, Haiou</creatorcontrib><creatorcontrib>Liu, Lina</creatorcontrib><creatorcontrib>Liu, Jie</creatorcontrib><creatorcontrib>Guo, Xiaofei</creatorcontrib><creatorcontrib>Xu, Zhixiang</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Li, Duo</creatorcontrib><creatorcontrib>Du, Fangling</creatorcontrib><creatorcontrib>Xu, Tongcheng</creatorcontrib><title>Effects of whole grain intake on glycemic traits: A systematic review and meta-analysis of randomized controlled trials</title><title>Critical reviews in food science and nutrition</title><addtitle>Crit Rev Food Sci Nutr</addtitle><description>Whole grains (WGs) may have various health benefits, including lowering blood glucose and improving insulin sensitivity. To conduct a meta-analysis of the effects of WGs compared with non-WGs on changes in fasting glucose, fasting insulin, glycated hemoglobin (HbA1c), and homeostasis model assessment of insulin resistance (HOMA-IR). A systematic literature search was performed for all published randomized controlled trials on the effects of WG intake on fasting glucose, fasting insulin, HbA1c and HOMA-IR response up to February 2021. Weighted mean differences (WMD) were calculated. Pre-specified subgroup and univariate meta-regression analyses were explored to identify the sources of heterogeneity. Sensitivity analysis and bias analysis were conducted to appraise study quality. Among 12,435 articles screened for eligibility, data were extracted from 48 articles. Meta-analysis of 4,118 participants showed that WG consumption resulted in a significant reduction in fasting glucose by −0.15 mmol/L, fasting insulin by −2.71 pmol/L, HbA1c by −0.44%, and HOMA-IR by −0.28, respectively. Compared with mixed grains, brown rice, and wheat, oats were significantly lower on marker of glycemic. Besides, multiple interventions per day consolidated effectiveness of WGs. WG consumption decreased the levels of fasting glucose, fasting insulin, HbA1c, and HOMA-IR compared with non-WG consumption.
Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2021.2001429 .</description><subject>Blood Glucose</subject><subject>Clinical trials</subject><subject>Consumption</subject><subject>Diabetes Mellitus, Type 2</subject><subject>Fasting</subject><subject>Glucose</subject><subject>Glycated Hemoglobin</subject><subject>Grain</subject><subject>HbA1c</subject><subject>Hemoglobin</subject><subject>Heterogeneity</subject><subject>HOMA-IR</subject><subject>Homeostasis</subject><subject>Humans</subject><subject>Insulin</subject><subject>Insulin Resistance</subject><subject>Laboratory testing</subject><subject>Meta-analysis</subject><subject>Randomized Controlled Trials as Topic</subject><subject>Regression analysis</subject><subject>Sensitivity analysis</subject><subject>Subgroups</subject><subject>Whole Grains</subject><issn>1040-8398</issn><issn>1549-7852</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kUtv1TAQhSMEoqXwE0CW2HST1o4fsVlRVeUhVWIDa2viTIqLExfbt1fpr68v95YFCzae0fibc2SfpnnL6Bmjmp4zKqjmRp91tGP1oEx05llzzKQwba9l97z2lWl30FHzKudbSqkQTL1sjrjoDe9Ud9xsr6YJXckkTmT7MwYkNwn8QvxS4BeSuJCbsDqcvSOlXpT8gVyQvOaCM5Q6THjvcUtgGcmMBVpYIKzZ_9FLdRpn_4AjcXEpKYZQ25I8hPy6eTHVgm8O9aT58enq--WX9vrb56-XF9et40aUthdSuZ7jIHquRyWB9j3CoKkR1BnQTiEb2IBGdHxiIJlCkFoOHUhQk0Z-0pzude9S_L3BXOzss8MQYMG4ybaTxjDNq09F3_-D3sZNqu-plOZKqWrCKiX3lEsx54STvUt-hrRaRu0uGfuUjN0lYw_J1L13B_XNMOP4d-spigp83AN-mWKaYRtTGG2BNcQ01a90Plv-f49H6HGdtw</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Li, Shixiang</creator><creator>Zong, Aizhen</creator><creator>An, Ran</creator><creator>Wang, Haiou</creator><creator>Liu, Lina</creator><creator>Liu, Jie</creator><creator>Guo, Xiaofei</creator><creator>Xu, Zhixiang</creator><creator>Wang, Jing</creator><creator>Li, Duo</creator><creator>Du, Fangling</creator><creator>Xu, Tongcheng</creator><general>Taylor & Francis</general><general>Taylor & Francis 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>7QO</scope><scope>7QP</scope><scope>7QR</scope><scope>7T7</scope><scope>7TK</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0253-1780</orcidid></search><sort><creationdate>2023</creationdate><title>Effects of whole grain intake on glycemic traits: A systematic review and meta-analysis of randomized controlled trials</title><author>Li, Shixiang ; 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To conduct a meta-analysis of the effects of WGs compared with non-WGs on changes in fasting glucose, fasting insulin, glycated hemoglobin (HbA1c), and homeostasis model assessment of insulin resistance (HOMA-IR). A systematic literature search was performed for all published randomized controlled trials on the effects of WG intake on fasting glucose, fasting insulin, HbA1c and HOMA-IR response up to February 2021. Weighted mean differences (WMD) were calculated. Pre-specified subgroup and univariate meta-regression analyses were explored to identify the sources of heterogeneity. Sensitivity analysis and bias analysis were conducted to appraise study quality. Among 12,435 articles screened for eligibility, data were extracted from 48 articles. Meta-analysis of 4,118 participants showed that WG consumption resulted in a significant reduction in fasting glucose by −0.15 mmol/L, fasting insulin by −2.71 pmol/L, HbA1c by −0.44%, and HOMA-IR by −0.28, respectively. Compared with mixed grains, brown rice, and wheat, oats were significantly lower on marker of glycemic. Besides, multiple interventions per day consolidated effectiveness of WGs. WG consumption decreased the levels of fasting glucose, fasting insulin, HbA1c, and HOMA-IR compared with non-WG consumption.
Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2021.2001429 .</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>34793262</pmid><doi>10.1080/10408398.2021.2001429</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-0253-1780</orcidid></addata></record> |
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subjects | Blood Glucose Clinical trials Consumption Diabetes Mellitus, Type 2 Fasting Glucose Glycated Hemoglobin Grain HbA1c Hemoglobin Heterogeneity HOMA-IR Homeostasis Humans Insulin Insulin Resistance Laboratory testing Meta-analysis Randomized Controlled Trials as Topic Regression analysis Sensitivity analysis Subgroups Whole Grains |
title | Effects of whole grain intake on glycemic traits: A systematic review and meta-analysis of randomized controlled trials |
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