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Yu J, Balaji B, Tinajero M, Jarvis S, Khan T, Vasudevan S, Ranawana V, Poobalan A, Bhupathiraju S, Sun Q, Willett W, Hu FB, Jenkins DJA, Mohan V, Malik VS. White rice, brown rice and the risk of type 2 diabetes: a systematic review and meta-analysis. BMJ Open 2022; 12:e065426. [PMID: 36167362 PMCID: PMC9516166 DOI: 10.1136/bmjopen-2022-065426] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Intake of white rice has been associated with elevated risk for type 2 diabetes (T2D), while studies on brown rice are conflicting. To inform dietary guidance, we synthesised the evidence on white rice and brown rice with T2D risk. DESIGN Systematic review and meta-analysis. DATA SOURCES PubMed, EMBASE and Cochrane databases were searched through November 2021. ELIGIBILITY CRITERIA Prospective cohort studies of white and brown rice intake on T2D risk (≥1 year), and randomised controlled trials (RCTs) comparing brown rice with white rice on cardiometabolic risk factors (≥2 weeks). DATA EXTRACTION AND SYNTHESIS Data were extracted by the primary reviewer and two additional reviewers. Meta-analyses were conducted using random-effects models and reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Risk of bias was assessed using the Newcastle Ottawa Scale for prospective cohort studies and the Cochrane Risk of Bias Tool for RCTs. Strength of the meta-evidence was assessed using NutriGrade. RESULTS Nineteen articles were included: 8 cohort studies providing 18 estimates (white rice: 15 estimates, 25 956 cases, n=5 77 426; brown rice: 3 estimates, 10 507 cases, n=1 97 228) and 11 RCTs (n=1034). In cohort studies, white rice was associated with higher risk of T2D (pooled RR, 1.16; 95% CI: 1.02 to 1.32) comparing extreme categories. At intakes above ~300 g/day, a dose-response was observed (each 158 g/day serving was associated with 13% (11%-15%) higher risk of T2D). Intake of brown rice was associated with lower risk of T2D (pooled RR, 0.89; 95% CI: 0.81 to 0.97) comparing extreme categories. Each 50 g/day serving of brown rice was associated with 13% (6%-20%) lower risk of T2D. Cohort studies were considered to be of good or fair quality. RCTs showed an increase in high-density lipoprotein-cholesterol (0.06 mmol/L; 0.00 to 0.11 mmol/L) in the brown compared with white rice group. No other significant differences in risk factors were observed. The majority of RCTs were found to have some concern for risk of bias. Overall strength of the meta-evidence was moderate for cohort studies and moderate and low for RCTs. CONCLUSION Intake of white rice was associated with higher risk of T2D, while intake of brown rice was associated with lower risk. Findings from substitution trials on cardiometabolic risk factors were inconsistent. PROSPERO REGISTRATION NUMBER CRD42020158466.
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Affiliation(s)
- Jiayue Yu
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | | | - Maria Tinajero
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sarah Jarvis
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Tauseef Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sudha Vasudevan
- Department of Food and Nutrition Research, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Viren Ranawana
- School of Health and Related Research, The University of Sheffield, Sheffield, UK
| | - Amudha Poobalan
- Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Shilpa Bhupathiraju
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Qi Sun
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Walter Willett
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Frank B Hu
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - David J A Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Vasanti S Malik
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
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Mondal D, Awana M, Aggarwal S, Das D, Thomas B, Singh S, Satyavathi C T, Sundaram RM, Anand A, Singh A, Sachdev A, Praveen S, Krishnan V. Microstructure, matrix interactions, and molecular structure are the key determinants of inherent glycemic potential in pearl millet (Pennisetum glaucum). Food Hydrocoll 2022. [DOI: 10.1016/j.foodhyd.2022.107481] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Liu Z, Chen L, Zheng B. Control of starch-lipid interactions on starch digestibility during hot-extrusion 3D printing for starchy foods. Food Funct 2022; 13:5317-5326. [PMID: 35445679 DOI: 10.1039/d2fo00558a] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The nutritional design of personalized starchy foods has become a research hotspot in the field of food science. Driven by the immense functional and nutritional implications of starch-lipid binary interactions, this study is aimed at designing starch digestibility by controlling the interaction between starch and glycerol monostearate (GMS)/stearic acid (SA) using a hot-extrusion 3D printing (HE-3DP) environment. The results indicated that the thermal shear force in the HE-3DP environment promoted hydrophobic interactions between starch and lipids, forming a V-type starch-lipid complex with a compact and ordered structure, thus enhancing enzymatic resistance. Compared with GMS, SA with linear hydrophobic chains was inclined to compound with starch to form a more ordered structure. Interestingly, the slowly digestible starch (SDS) and resistant starch (RS) content reached 25.06% when the added SA content was 10%. Besides, correlations between the structural parameters and digestibility were established, which provided crucial information for designing nutritional starchy food systems using HE-3DP.
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Affiliation(s)
- Zipeng Liu
- School of Food Science and Engineering, Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety, Engineering Research Center of Starch and Vegetable Protein Processing Ministry of Education, South China University of Technology, Guangzhou 510640, China.
| | - Ling Chen
- School of Food Science and Engineering, Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety, Engineering Research Center of Starch and Vegetable Protein Processing Ministry of Education, South China University of Technology, Guangzhou 510640, China.
| | - Bo Zheng
- School of Food Science and Engineering, Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety, Engineering Research Center of Starch and Vegetable Protein Processing Ministry of Education, South China University of Technology, Guangzhou 510640, China.
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Seaweeds as Ingredients to Lower Glycemic Potency of Cereal Foods Synergistically-A Perspective. Foods 2022; 11:foods11050714. [PMID: 35267347 PMCID: PMC8909722 DOI: 10.3390/foods11050714] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 02/24/2022] [Accepted: 02/26/2022] [Indexed: 12/12/2022] Open
Abstract
Seaweeds are traditional food ingredients mainly in seaside regions. Modern food science and nutrition researchers have identified seaweed as a source of functional nutrients, such as dietary soluble and insoluble fibers, proteins, omega-3 fatty acids, prebiotic polysaccharides, polyphenols, and carotenoids. Owing to the rich nutrients, seaweeds and seaweed extract can be used as functional ingredients by modifying the nutrients composition to reduce the proportion of available carbohydrates, delaying the gastric emptying time and the absorption rate of glucose by increasing the digesta viscosity, and attenuating the digesting rate by blocking the activity of digestive enzymes. This review presents the concept of using seaweed as unconventional ingredients that can function synergistically to reduce the glycemic potency of cereal products.
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Sanders LM, Zhu Y, Wilcox ML, Koecher K, Maki KC. Whole grain intake, compared to refined grain, improves postprandial glycemia and insulinemia: a systematic review and meta-analysis of randomized controlled trials. Crit Rev Food Sci Nutr 2021:1-19. [PMID: 34930065 DOI: 10.1080/10408398.2021.2017838] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Whole grain (WG) intake has been associated with reduced risk of type 2 diabetes (T2D) and may protect against T2D by lowering postprandial glycemia and insulinemia and improving insulin sensitivity. The objective of this systematic review and meta-analysis was to evaluate the effect of WG intake, compared to refined grain (RG) intake, on postprandial glycemia and insulinemia and markers of glycemic control and insulin resistance in randomized controlled trials (RCTs) in adults. A search of PubMed and Scopus yielded 80 relevant RCTs. Compared to RG, WG intake significantly reduced postprandial glycemia (SMD: -0.30; 95% CI: -0.43, -0.18; P < 0.001), insulinemia (SMD: -0.23; 95% CI: -0.35, -0.10; P < 0.001) and glycated hemoglobin (HbA1c) (SMD: -0.21; 95% CI: -0.37, -0.06; P = 0.007). There was no effect of WG on fasting glucose, fasting insulin, or homeostatic model assessment of insulin resistance (HOMA-IR). These results suggest WG foods improve short-term glycemia and insulinemia, which may improve HbA1c, a marker of long-term glycemic control. This may partially explain the inverse association between WG intake and risk of T2D, but further investigations are needed to understand if short-term reductions in glycemia translate to longer term benefits in reducing the risk of T2D.Systematic Review Registration: PROSPERO Registration CRD42020180069.
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Affiliation(s)
| | - Yong Zhu
- Bell Institute of Health and Nutrition, General Mills, Inc, Minneapolis, MN, USA
| | | | - Katie Koecher
- Bell Institute of Health and Nutrition, General Mills, Inc, Minneapolis, MN, USA
| | - Kevin C Maki
- Midwest Biomedical Research, Addison, IL, USA.,Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, USA
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Ebere R, Imungi J, Kimani V. Glycemic index values of traditional Kenyan foods: the missing link in the effectiveness of dietary approach in the prevention and management of diabetes mellitus in Kenya. Afr Health Sci 2021; 21:710-718. [PMID: 34795727 PMCID: PMC8568238 DOI: 10.4314/ahs.v21i2.29] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Glycemic index (GI) measures postprandial blood sugar after consumption of carbohydrate-rich foodstuff. Kenya is yet to fully embrace this concept in prevention and management of diabetes mellitus. OBJECTIVE To review and tabulate GIs of locally consumed foods in order to improve dietary management of diabetes mellitus. METHODOLOGY A literature search was conducted using Google scholar and PubMed databases which identified 7 articles on glycemic index values of Kenyan foods published between 2002 and 2020. Two articles failed to meet the inclusion criteria and five proceeded for review. Key search words used included GI, glycemic load and glycemic response combined with Kenya. The data was reported depending on whether the testing involved healthy individuals or patients suffering from diabetes mellitus. RESULTS Nine individual foods and 7 mixed meals were identified. Low GI foods included beans and whole maize ugali consumed alongside cowpea leaves. High GI foods included whole maize ugali eaten with beef, boiled rice, boiled cassava and cassava-sorghum ugali eaten with silver fish. CONCLUSION Proper meal mixing is important in diabetes management. Cowpea leaves and beans possess GI lowering potential. This information can be used to improve guidance on food choices for diabetes patients.
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Affiliation(s)
- Rebecca Ebere
- Meru University of Science and Technology, Department of Food Science
| | - Jasper Imungi
- University of Nairobi, Department of Food Nutrition and Technology
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Henry CJ, Quek RYC, Kaur B, Shyam S, Singh HKG. A glycaemic index compendium of non-western foods. Nutr Diabetes 2021; 11:2. [PMID: 33414403 PMCID: PMC7791047 DOI: 10.1038/s41387-020-00145-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 10/25/2020] [Accepted: 11/16/2020] [Indexed: 12/11/2022] Open
Abstract
Current international tables published on the glycaemic index (GI) of foods represent valuable resources for researchers and clinicians. However, the vast majority of published GI values are of Western origin, notably European, Australian and North American. Since these tables focus on Western foods with minimal inclusion of other foods from non-Western countries, their application is of limited global use. The objective of this review is to provide the GI values for a variety of foods that are consumed in non-Western countries. Our review extends and expands on the current GI tables in an attempt to widen its application in many other regions of the world.
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Affiliation(s)
- Christiani Jeyakumar Henry
- Singapore Institute of Food and Biotechnology Innovation (SIFBI), Clinical Nutrition Research Centre (CNRC), 14 Medical Drive, #07-02, Singapore, 117599, Singapore. .,Department of Biochemistry, National University of Singapore (NUS), 8 Medical Drive, Singapore, 117596, Singapore.
| | - Rina Yu Chin Quek
- Singapore Institute of Food and Biotechnology Innovation (SIFBI), Clinical Nutrition Research Centre (CNRC), 14 Medical Drive, #07-02, Singapore, 117599, Singapore
| | - Bhupinder Kaur
- Singapore Institute of Food and Biotechnology Innovation (SIFBI), Clinical Nutrition Research Centre (CNRC), 14 Medical Drive, #07-02, Singapore, 117599, Singapore
| | - Sangeetha Shyam
- Division of Nutrition and Dietetics, School of Health Sciences, International Medical University (IMU), No. 126, Jln Jalil Perkasa 19, Bukit Jalil, 57000, Kuala Lumpur, Malaysia.,Centre for Translational Research, Institute for Research, Development and Innovation (IRDI), International Medical University (IMU), No. 126, Jln Jalil Perkasa 19, Bukit Jalil, 57000, Kuala Lumpur, Malaysia
| | - Harvinder Kaur Gilcharan Singh
- Division of Nutrition and Dietetics, School of Health Sciences, International Medical University (IMU), No. 126, Jln Jalil Perkasa 19, Bukit Jalil, 57000, Kuala Lumpur, Malaysia.,Centre for Environmental and Population Health, Institute for Research, Development and Innovation (IRDI), International Medical University (IMU), No. 126, Jln Jalil Perkasa 19, Bukit Jalil, 57000, Kuala Lumpur, Malaysia
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