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Meta-Analysis
. 2019 Jun 5;11(6):1280.
doi: 10.3390/nu11061280.

Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: A Systematic Review and Updated Meta-Analyses of Prospective Cohort Studies

Affiliations
Meta-Analysis

Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: A Systematic Review and Updated Meta-Analyses of Prospective Cohort Studies

Geoffrey Livesey et al. Nutrients. .

Abstract

Published meta-analyses indicate significant but inconsistent incident type-2 diabetes(T2D)-dietary glycemic index (GI) and glycemic load (GL) risk ratios or risk relations (RR). It is nowover a decade ago that a published meta-analysis used a predefined standard to identify validstudies. Considering valid studies only, and using random effects dose-response meta-analysis(DRM) while withdrawing spurious results (p < 0.05), we ascertained whether these relationswould support nutrition guidance, specifically for an RR > 1.20 with a lower 95% confidence limit>1.10 across typical intakes (approximately 10th to 90th percentiles of population intakes). Thecombined T2D-GI RR was 1.27 (1.15-1.40) (p < 0.001, n = 10 studies) per 10 units GI, while that forthe T2D-GL RR was 1.26 (1.15-1.37) (p < 0.001, n = 15) per 80 g/d GL in a 2000 kcal (8400 kJ) diet.The corresponding global DRM using restricted cubic splines were 1.87 (1.56-2.25) (p < 0.001, n =10) and 1.89 (1.66-2.16) (p < 0.001, n = 15) from 47.6 to 76.1 units GI and 73 to 257 g/d GL in a 2000kcal diet, respectively. In conclusion, among adults initially in good health, diets higher in GI or GLwere robustly associated with incident T2D. Together with mechanistic and other data, thissupports that consideration should be given to these dietary risk factors in nutrition advice.Concerning the public health relevance at the global level, our evidence indicates that GI and GLare substantial food markers predicting the development of T2D worldwide, for persons ofEuropean ancestry and of East Asian ancestry.

Keywords: alcohol; cohort studies; dietary fiber; epidemiology; glycemic index; glycemic load; meta-analysis; protein; type 2 diabetes.

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Conflict of interest statement

The following authors have no competing interests: Anette Buyken, Antonio Ceriello, Salwa Rizkalla, Richard Taylor, Antonia Trichopoulou, and Walter Willett. Arne Astrup is a consultant member of advisory boards for McCain Foods Limited, Canada, Weight Watchers, USA. He is a recipient of honoraria as a speaker for a wide range of Danish and international concerns and receives royalties from popular diet and cookery books using GI/GL. Livia Augustin has received an honorarium from the Nutrition Foundation of Italy (NFI) to co-organize a GI/GL summit. Sara Baer-Sinnott is the president of Oldways, a non-profit food and nutrition organization that receives support from a wide variety of organizations. Alan Barclay is a board member and consultant to the Glycemic Index Foundation, an international not-for-profit organization which endorses healthy low GI food products by means of a certified GI symbol. He is a co-author of lay books about the glycemic index of foods and sweeteners. Inger Bjorck is a retired professor from Lund University, Sweden, where she has managed the Antidiabetic Food Centre, a non-profitable research center including the academy, the health care system, and representatives from the industry. She is an inventor and owner of intellectual property related to the use of certain proteins, specific probiotics, and probiotics to improve glycemic regulation and metabolism. Jennie Brand-Miller is President of the Glycemic Index Foundation, an international not-for-profit organization, which endorses healthy low GI food products by means of a certified GI symbol. She manages a glycemic index testing service at the University of Sydney and is the co-author of lay books about the glycemic index of foods. Furio Brighenti is affiliated to a department of the University of Parma that does glycemic index analysis as a service to third parties. Marie-Ann Ha is a senior lecturer with Anglia Ruskin University, a Director with Cibus Biscuits Ltd., a company developing a product for people with additional energy requirements and is a Director of East Anglia Food Link, a not-for-profit organization working to increase local sourcing of local products. David Jenkins David Jenkins has received research grants from Saskatchewan Pulse Growers, the Agricultural Bioproducts Innovation Program through the Pulse Research Network, the Advanced Foods and Material Network, Loblaw Companies Ltd., Unilever Canada and Netherlands, Barilla, the Almond Board of California, Agriculture and Agri-food Canada, Pulse Canada, Kellogg’s Company, Canada, Quaker Oats, Canada, Procter & Gamble Technical Centre Ltd., Bayer Consumer Care, Springfield, NJ, Pepsi/Quaker, International Nut & Dried Fruit (INC), Soy Foods Association of North America, the Coca-Cola Company (investigator initiated, unrestricted grant), Solae, Haine Celestial, the Sanitarium Company, Orafti, the International Tree Nut Council Nutrition Research and Education Foundation, the Peanut Institute, Soy Nutrition Institute (SNI), the Canola and Flax Councils of Canada, the Calorie Control Council, the Canadian Institutes of Health Research (CIHR), the Canada Foundation for Innovation (CFI), and the Ontario Research Fund (ORF). He has received in-kind supplies for trials as research support from the Almond Board of California, Walnut Council of California, American Peanut Council, Barilla, Unilever, Unico, Primo, Loblaw Companies, Quaker (Pepsico), Pristine Gourmet, Bunge Limited, Kellogg Canada, WhiteWave Foods. He has been on the speaker’s panel, served on the scientific advisory board, and/or received travel support and/or honoraria from the Almond Board of California, Canadian Agriculture Policy Institute, Loblaw Companies Ltd., the Griffin Hospital (for the development of the NuVal scoring system), the Coca-Cola Company, EPICURE, Danone, Diet Quality Photo Navigation (DQPN), Better Therapeutics (FareWell), Verywell, True Health Initiative (THI), Institute of Food Technologists (IFT), Soy Nutrition Institute (SNI), Herbalife Nutrition Institute (HNI), Saskatchewan Pulse Growers, Sanitarium Company, Orafti, the American Peanut Council, the International Tree Nut Council Nutrition Research and Education Foundation, the Peanut Institute, Herbalife International, Pacific Health Laboratories, Nutritional Fundamentals for Health (NFH), Barilla, Metagenics, Bayer Consumer Care, Unilever Canada and Netherlands, Solae, Kellogg, Quaker Oats, Procter & Gamble, Abbott Laboratories, Dean Foods, the California Strawberry Commission, Haine Celestial, PepsiCo, the Alpro Foundation, Pioneer Hi-Bred International, DuPont Nutrition and Health, Spherix Consulting and WhiteWave Foods, the Advanced Foods and Material Network, the Canola and Flax Councils of Canada, Agri-Culture and Agri-Food Canada, the Canadian Agri-Food Policy Institute, Pulse Canada, the Soy Foods Association of North America, the Nutrition Foundation of Italy (NFI), Nutra-Source Diagnostics, the McDougall Program, the Toronto Knowledge Translation Group (St. Michael’s Hospital), the Canadian College of Naturopathic Medicine, The Hospital for Sick Children, the Canadian Nutrition Society (CNS), the American Society of Nutrition (ASN), Arizona State University, Paolo Sorbini Foundation and the Institute of Nutrition, Metabolism and Diabetes. He received an honorarium from the United States Department of Agriculture to present the 2013 W.O. Atwater Memorial Lecture. He received the 2013 Award for Excellence in Research from the International Nut and Dried Fruit Council. He received funding and travel support from the Canadian Society of Endocrinology and Metabolism to produce mini cases for the Canadian Diabetes Association (CDA). He is a member of the International Carbohydrate Quality Consortium (ICQC). His wife, ALJ, is a director and partner of Glycemic Index Laboratories, Inc., and his sister, CB, received funding through a grant from the St. Michael’s Hospital Foundation to develop a cookbook for one of his studies. Cyril Kendall has received research grants, travel funding, consultant fees, honoraria, or has served on the scientific advisory board for Abbott Laboratories, Advanced Food Materials Network, Agrifoods and Agriculture Canada (AAFC), Almond Board of California, American Peanut Council, American Pistachio Growers, Barilla, California Strawberry Commission, Calorie Control Council, Canadian Institutes of Health Research (CIHR), Canola Council of Canada, The Coca Cola Company (investigator initiated, unrestricted), Danone, General Mills, Hain Celestial, International Tree Nut Council, Kellogg, Kraft, Loblaw Brands Ltd., Nutrition Foundation of Italy, Oldways Preservation Trust, Orafti, Paramount Farms, Peanut Institute, Pepsi-Co, Pulse Canada, Saskatchewan Pulse Growers, Solae, Sun-Maid, Tate & Lyle and Unilever. Carlo La Vecchia is member of the Advisory Board of the Nutrition Foundation of Italy (NFI, honorary) and received honoraria from Soremartec and MSL Italia. Geoffrey Livesey, husband of author HFL, holds shares in Independent Nutrition Logic Ltd., a consultancy. He and his wife have benefitted from research grants, travel funding, consultant fees, and honoraria from the American Association for the Advancement of Science (USA), the All Party Parliamentary Group for Diabetes (London, UK), Almond Board of California (USA), BENEO GmbH (DE), Biotechnology and Biosciences Research Council (UK), British Nutrition Foundation(UK), Calorie Control Council (USA), Cantox (CA), Colloides Naturel International (FR), Coca Cola (UK), Danisco (UK & Singapore), Diabetes Nutrition Study Group (EASD, EU), DiabetesUK (UK), Elsevier Inc. (USA), European Commission (EU), European Polyol Association (Brussels), Eureka (UK), Food and Agricultural Organization (Rome), Granules India (Ind), General Mills (USA), Health Canada (CA), Institute of Food Research (UK), International Carbohydrate Quality Consortium (CA), Institute of Medicine (Washington, DC), International Life Sciences Institute (EU & USA), Life Sciences Research Office, FASEB (USA), Nutrition Society of Australia, Knights Fitness (UK), Leatherhead Food Research (UK), LitghterLife (UK), Matsutani (JPN), Medical Research Council (UK), MSL Group (UK), Porter Novelli (UK), Sudzuker (DE), Sugar Nutrition/WSRO (UK), Tate & Lyle (UK), The Food Group (USA), Weight Watchers (UK), Wiley-Blackwell (UK). World Health Organization (Geneva). He is a member of the EASD Nutrition Guidelines Committee. Helen Livesey, wife of Geoffrey Livesey, holds shares in Independent Nutrition Logic Ltd. (UK) and has benefitted from organizations declared by him. Simin Liu received consulting fees from Stanford University, Fred Hutchinson Cancer Research Center, honoraria from General Mills Co, and is a consultant to Barilla, Palma, Italy. Andrea Poli is the President of the Nutrition Foundation of Italy (NFI) a non-profit organization partially supported by Italian and non-Italian Food Companies. Jordi Salas-Salvadó serves on the board of, and has received grant through, his institution from the International Nut and Dried Fruit Council and the Eroski Foundation. He serves on the Executive Committee of the Instituto Danone Spain and on the Scientific Committee of the Danone International Institute. He has received research support from the Instituto de Salud Carlos III, Spain; the Ministerio de Educación years Ciencia, Spain; the Departament de Salut Pública de la Generalitat de Catalunya, Catalonia, Spain; and the European Commission. Further research support has come from the California Walnut Commission, Sacramento CA, USA; the Patrimonio Comunal Olivarero, Spain; the La Morella Nuts, Spain; and Borges S.A., Spain. He reports receiving consulting fees or travel expenses from Danone; California Walnut Commission, the Eroski Foundation, the Instituto Danone–Spain, Nuts for Life, Australian Nut Industry Council, Nestlé, Abbot Laboratories, and Font Vella Lanjarón. He is on the Clinical Practice Guidelines Expert Committee of the European Association for the study of Diabetes (EASD), and has served on the Scientific Committee of the Spanish Food and Safety Agency, and the Spanish Federation of the Scientific Societies of Food, Nutrition and Dietetics. He is an Executive Board Member of the Diabetes and Nutrition Study Group (DNSG) of the EASD. Gabriele Riccardi is a member of the scientific advisory board of Barilla Center for Food and Nutrition. John L Sievenpiper received research support from the Canadian Foundation for Innovation, Ontario Research Fund, Province of Ontario Ministry of Research and Innovation and Science, Canadian Institutes of health Research (CIHR), Diabetes Canada, PSI Foundation, Banting and Best Diabetes Centre (BBDC), American Society for Nutrition (ASN), INC International Nut and Dried Fruit Council Foundation, National Dried Fruit Trade Association, The Tate and Lyle Nutritional Research Fund at the University of Toronto, The Glycemic Control and Cardiovascular Disease in Type 2 Diabetes Fund at the University of Toronto (a fund established by the Alberta Pulse Growers), and the Nutrition Trialists Fund at the University of Toronto (a fund established by an inaugural donation from the Calorie Control Council). He has received in-kind food donations to support a randomized controlled trial from the Almond Board of California, California Walnut Commission, American Peanut Council, Barilla, Unilever, Unico/Primo, Loblaw Companies, Quaker, Kellogg Canada, and WhiteWave Foods. He has received travel support, speaker fees and/or honoraria from Diabetes Canada, Mott’s LLP, Dairy Farmers of Canada, FoodMinds LLC, International Sweeteners Association, Nestlé, Pulse Canada, Canadian Society for Endocrinology and Metabolism (CSEM), GI Foundation, Abbott, Biofortis, ASN, Northern Ontario School of Medicine, INC Nutrition Research & Education Foundation, European Food Safety Authority (EFSA), and Physicians Committee for Responsible Medicine. He has or has had ad hoc consulting arrangements with Perkins Coie LLP, Tate & Lyle, and Wirtschaftliche Vereinigung Zucker e.V. He is a member of the European Fruit Juice Association Scientific Expert Panel. He is on the Clinical Practice Guidelines Expert Committees of Diabetes Canada, European Association for the study of Diabetes (EASD), Canadian Cardiovascular Society (CCS), and Obesity Canada. He serves or has served as an unpaid scientific advisor for the Food, Nutrition, and Safety Program (FNSP) and the Technical Committee on Carbohydrates of the International Life Science Institute (ILSI) North America. He is a member of the International Carbohydrate Quality Consortium (ICQC), Executive Board Member of the Diabetes and Nutrition Study Group (DNSG) of the EASD, and Director of the Toronto 3D Knowledge Synthesis and Clinical Trials foundation. His wife is an employee of Sobeys Inc. Thomas Wolever is a part owner and receives payment as the President and Medical Director of Glycemic Index Laboratories, Inc., (GI Labs, a contract research organization) and Glycemic Index Testing, Inc., (GI Testing, which supplies services to GI Labs) Toronto, Canada. He has authored or co-authored several books on the glycemic index for which has received royalties from Phillipa Sandall Publishing Services and CABI Publishers. He has received research support, consultant fees or honoraria from or served on the scientific advisory board for Canadian Institutes of Health Research, Canadian Diabetes Association, Dairy Farmers of Canada, Agriculture Agri-Food Canada, Public Health Agency of Canada, GI Labs, GI Testing, Abbott, Proctor and Gamble, Mars Foods, McCain Foods, Bunge, Temasek Polytechnic Singapore, Northwestern University, Royal Society of London, Glycemic Index Symbol program, CreaNutrition AG, McMaster University, University of Manitoba, University of Alberta, Canadian Society for Nutritional Sciences, National Sports and Conditioning Association, Faculty of Public Health and Nutrition—Autonomous University of Nuevo Leon, Diabetes and Nutrition Study Group of the European Association for the Study of Diabetes (EASD). His wife is part owner of Glycemic Index Laboratories, Inc., and Glycemic Index Testing, Inc., and receives payment as chief financial officer of both corporations. All authors other than HFL and RT are members of the International Carbohydrate Quality Consortium.

Figures

Figure 1
Figure 1
Process of the review and outcomes of the inclusion/exclusion criteria for the T2D–GI and GL risk relations. The literature was searched for prospective cohort studies investigating these relations, from 1946 to 6 December 2018. MEDLINE, EMBASE, and other sources (see Methods) were searched. ae: See Section 3 of the Supplementary Materials for further details. Abbreviations: GI, glycemic index; n, number of published reports; T2D, type 2 diabetes; GL, glycemic load.
Figure 2
Figure 2
Process of the review and outcomes of the inclusion/exclusion criteria for the T2D–GI risk relation. The literature was searched for prospective cohort studies investigating this relation, from 1946 to 6 December 2018. MEDLINE, EMBASE, and other sources (see Methods) were searched. Superscripts: a. Whether T2D is related to the dietary glycemic index (GI) and whether the risk relation is >1.20 with a lower confidence limit > 1.10 for each 10th to the 90th percentile of GI intake (which on analysis was per 10 units GI). b. Is the T2D–GI risk relation conditional on the validity of the dietary instrument, on the sex of the participants, or on the BMI (kg/m2)? c. Details of the full reports excluded are described in the associated text and in more detail in Section 3 (f and g) of the Supplementary Materials. d. Studies with dietary instrument correlations for carbohydrate ≤ 0.55 were invalid. e. When a study was suspected of being an outlier was proven to be so upon analysis (p < 0.05) and persisted to be so in several different meta-analyses (Table S15), it was excluded from the primary analysis. Abbreviations: DRM, dose-response meta-analysis; GI, glycemic index; n, number of published reports; k, number of studies (more than one may appear in one report); T2D, type 2 diabetes.
Figure 3
Figure 3
Forest plot of the dose-response T2D–GI risk relation by validity of the dietary instrument. The box size is proportional to the weight contributed by the study to the combined study mean. Horizontal lines span individual study 95% confidence intervals. Arrowheads indicate truncations. Diamonds represent the combined study mean RR values per 10 GI units (based on the glucose standard), and the corresponding 95% CI values. Analysis was undertaken on the natural logarithms and are shown untransformed. p-Values were calculated using the z test for RR and the Chi2 test for I2. Eligible studies were: Barclay et al. (2007) [68], Bhupathiraju et al. (2014) (NHS II) [10], Bhupathiraju et al. (2014) (HPS) [10], Hodge et al. (2004) [69], Krishnan et al. (2007) [43], Mekary et al. (2011) [40], Meyer et al. (2000) [64] (p = 0.011), Mosdol et al. (2007) [65], Oba et al. (2013) (men) [44], Oba et al. (2013) (women) [44], Sahyoun (2008) [70], Sakurai et al. (2012) [71], Sluijs et al. (2013) [67], Stevens et al. (2002) (AA) [66], Stevens et al. (2002) (EA) [66], van Woudenbergh et al. (2011) [72], and Villegas et al. (2007) [46]. An outlier study was: Simila et al. (2011) [41] (p = 0.033). Abbreviations: AA, African-American; EA, European-American; CI, confidence interval; HPS, Health Professionals Study; I2; inconsistency; NHS, Nurses’ Health Study; p, probability; RR, risk relation. Footnotes: a, CORR refers to the dietary instrument’s correlation coefficient for carbohydrate or carbohydrate foods; b, percentage weights are from random effects; c, the study of Sluijs et al. [67] reported no overall correlation for their combined regions, some regions had correlations <0.55.
Figure 4
Figure 4
Funnel plot of the study results for the T2D–GI risk relation for valid studies using valid dietary instruments. Valid studies were those with valid dietary instruments (correlation coefficient for carbohydrate or carbohydrate foods >0.55, deemed a prior) and not including an outlier study [38]) (Table S15) (p < 0.05, deemed a priori in the random effects model. The inverted funnel shows the study-level 95% confidence limits with fixed effects, the outer funnel shows the study-level 95% confidence limits with random effects, and the vertical dashed line shows the combined studies random effects trim-and-fill mean, which exponentiated was 1.27 (1.15–1.40) (p < 0.001, n = 10 studies).
Figure 5
Figure 5
Global dose-response meta-analysis of the T2D–GI risk relation. The larger plot shows the mean increment in the log risk relation and 95% CI values. The 95% CI values were based on random effects analysis, the inner (black dashed) lines show the conventional CI values based on (τ2 + σ2) whereas the outer (grey dashed) lines were based on an additional forecasting term, σf2, so that the outer 95% CI was based on (τ2 + σ2 + σf2). Insert: Shows the corresponding unlogged RR (black, continuous), the lower 95% confidence limit when accounting for σf2 (black dashed), and the corresponding log-linear prediction (red).
Figure 6
Figure 6
Process of the review and outcomes of the inclusion and exclusion criteria for the T2D–GL risk relation. Literature searches were for prospective cohort studies investigating this relation published in the period of 1946 to 6 December 2018 via MEDLINE and EMBASE and other sources—see the Methods section and Figure 1. Superscripts note: a. Whether T2D is related to the dietary glycemic load (GL) and whether the risk relation is > 1.20 with a lower confidence limit > 1.10 for each 10th to the 90th percentile of GL intake (which, on analysis, was per 80 g GL in 2000 kcal (8400 kJ)? b. Is the T2D–GL risk relation conditional on the validity of the dietary instrument for carbohydrate, on the sex of the participants, or on the BMI (kg/m2), and was the T2D–GI risk relation conditional on protein intake [10] and/or alcohol (ALC) intake [40]? c. Details of the full reports excluded are described in the associated text and in more detail in Section 3 (h to l) of the Supplementary Materials. d. Studies used (n = 22) in the meta-analysis with multiple covariates. e. Studies were invalid if the dietary instrument had a correlation coefficient for carbohydrate foods ≤ 0.55. f. When a study suspected of being an outlier in a forest plot was proven to be so upon meta-regression analysis (p < 0.05) and persisted to be so in several different meta-analyses (Table S15), it was excluded. Abbreviations: DRM, dose-response meta-analysis; GL, glycemic load; n, number of published reports; k, number of studies (more than one may appear in one report); T2D, type 2 diabetes.
Figure 7
Figure 7
Forest plot of the dose-response T2D–GL risk relation by the validity of the dietary instrument. The box sizes are proportional to the weight contributed by the study to the combined-study mean. Horizontal lines span the individual study 95% confidence intervals. Arrowheads indicate truncations. Diamonds represent the combined-study mean RR values per 80 g GL in 2000 kcal diet (based on the glucose standard), and the corresponding 95% CI values. Analysis was undertaken on the natural logarithms and shown untransformed. p-values were calculated using the z test for RR and the Chi2 test for I2. Eligible studies were: Krishnan et al. (2007) [43], Stevens et al. (2002) [66] (two studies), Meyer et al. (2000) [64], Mosdol et al. (2007) [65], Hopping et al. (2010) [42] (six studies), Hodge et al. (2004) [69], Mekary et al. (2011) [40], Halton et al. (2008) [4] pre-combined as “HaltMeka”, Sakurai et al. (2012) [71], Patel et al. (2007), [61], Schulze et al. (2004) [45], Villegas et al. (2007) [46], Salmeron et al. (1997) [60] in men, and Sluijs et al. (2010) [62]. For studies with CORR > 0.55 and considering the relation with CORR (p = 0.002), the study of Simila et al. (2011) [41] was an outlier (p = 0.013) whereas the study of Sluijs et al. (2010) was not (p = 0.052). Abbreviations: AA, African-American; EA, European-American; CI, confidence interval; HPS, Health Professionals’ Study; I2; inconsistency; NHS, Nurses’ Health Study; p, probability; RR, relative risk. Superscripts: a, CORR refers to the dietary instrument’s correlation coefficient for carbohydrate or carbohydrate foods; b, percentage weights are from random effects.
Figure 8
Figure 8
Funnel plot of the study results for the T2D–GL risk relation for valid studies. Valid studies were those with a correlation coefficient for carbohydrate or carbohydrate foods (CORR > 0.55, deemed a priori) and not including one outlier study [41] (Table 4 footnote g) (p < 0.05, deemed a priori) in the random effects model. Observations were adjusted for variation in CORR > 0.55 since this was a significant covariate (p < 0.001) deemed to be taken into control a priori [13]. The combined studies’ random effects trim-and-fill mean, when exponentiated, was 1.36 (1.28–1.45) (p < 0.001, n = 15 studies) per 80 g/d GL in a 2000 kcal (8400 kJ) diet. Trim-and-fill analysis identified missing studies = 0 to obtain a symmetrical distribution of observations. Adjustment for CORR was centered on a correlation coefficient of 0.7 (deemed a priori).
Figure 9
Figure 9
Possible dependence of the size of the T2D–GL risk-relation on the average population ALC consumption. The T2D–GL risk relation shown is per 80 g/d GL in a 2000 kcal (8400 kJ) diet. The negative slope was significant (p = 0.039, n = 11 studies). Circles represent individual study relative risks and have a size proportional to the study weight (larger circles: Greater weight). Lines show the trend and 95% CIs. Risk relations were adjusted for covariates (CORR, ethnicity (ETH), and duration of follow-up in years (FUY) defined in Section 3.3.14) while the population mean ALC intake was centered on 7g/d: These intakes were: Villegas et al. (2007) (2.3 g/d) [46], Schulze et al. (2003) (3.3 g/d) [45], Hodge et al. (2004) (4.3 g/d) [69], Sluijs et al. (2010) (4.6 g/d) [62], Halton et al. (2008) at 20-year follow-up [4] pre-combined with Mekary et al. (2011) at 26-year follow-up from the same study [40] without increasing the weight of the study (6.5 g/d), Krishnan et al. (2007) (6.5 g/d) [43], van Woudenbergh et al. (2011) (7 g/d) [43], Meyer et al. (2000) (7 g/d) [64], Salmeron et al. (1997) in men (11.9 g/d) [60], Similar et al. (2011) (11.9 g/d) [41], and Mosdol et al. (12.9 g/d) [65].
Figure 10
Figure 10
Global dose response meta-analysis of the T2D–glycemic load risk relation. The larger plot shows the mean increment in log risk relation and 95% CI values. Curves are the mean cubic-spline log risk relation (black, continuous) and the 95% CI values based on random effects analysis. The inner (black dashed) shows the conventional CI values based on (τ2 + σ2) whereas the outer (grey dashed) were based on an additional, forecasting term, σf2, thus (τ2 + σ2 + σf2), so that the 95% CIs were wider. Insert: Shows the RR (black, continuous line), the lower 95% confidence limit accounting for the three sources of error (black dashed line), and the corresponding log-linear prediction (red). The risk relation (RR) was per 80 g/d GL in a 2000 kcal (8400 kJ) diet.

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