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Is GI/GL of the Diet Important in Diabetes Prevention and
Management?
Cyril W.C. Kendall
Department of Nutritional Sciences, Faculty of Medicine, University of Toronto;
Clinical Nutrition & Risk Factor Modification Center, St. Michael’s Hospital;
Toronto, Ontario Canada.
Fiber Hypothesis
Dr. Dennis Burkitt (observational studies in Africa)
• African diet - ↑ fiber & ↓ fat (↓ energy density) • ↑ stool output • ↓ chronic disease (cancer, heart disease diabetes)
Relationship of saturated fat intake to Coronary Heart Disease Before 1970
Mancini and Stamler ; Nutr Metab Cardiovasc Dis (2004) 14:52-57 (Keys A Circulation (1970) 41 (Suppl. 1): 1-211)
Diet (Macronutrient Intake) Trends
Increasing prevalence of Type 2 DM in the US with increasing
Consumption of Carbohydrates
Diabetes and Carbohydrate Consumption
300
325
350
375
400
425
450
475
500
525
0
5
10
15
20
25
30
35
60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96
Carbo
hydra
te (g/
d)
US Di
abeti
cs (p
er tho
usan
d)
Year
Total Carbohydrate Diabetics
Increasing prevalence of type 2 DM in the US with increasing
consumption of refined carbohydrates
National Nutrient Databank Centers for Disease Control and Prevention
Gross et al AJCN 2004
Relationship of saturated fat intake to Coronary Heart Disease
Siri-Tarino et al Am J Clin Nutr 2010;91:535–46.
FIGURE 2. Risk ratios and 95% CIs for fully adjusted random-effects models examining associations between saturated fat intake in relation to coronary heart disease. SAT, saturated fat intake; IV, inverse variance.
Traditional, Developing Countries
Modern, Developed Countries
Traditional Diets (Low Glycemic Index)
• Latin America • Mediterranean • Middle East • Africa • South and East Asia
Hyperglycemia (high 2-h blood glucose or HbA1c) is associated with all-cause and CVD mortality
in non-diabetic populations
• Helsinki Policeman Study (Pyorala et al. 1979) • The Framingham Study (Singer et al. 1980) • The Whitehall Study (Fuller et al. 1983) • The Chicago Heart Study (Pan et al. 1986) • The Rancho Bernardo Study (Park et al. 1996; Barrett-Connor et al., 1998) • Hoorn study (De Vegt et al. Diabetologia, 1999) • ARIC study (Vitelli et al. 1997) • Meta-analysis DECODE study (Lancet 1999) • EPIC-Norfolk (Khaw et al. 2001) • The Cardiovascular Health Study (Smith et al. 2002) • ….many more now
Chiasson J-L, Josse RG, Hanefeld M, et al. JAMA 2003;346:393.
STOP-NIDDM Trial:
N= 1,386 subjects with Impaired Glucose Tolerance (high risk of developing diabetes) ~50% of subjects received acarbose (α-glucosidase
inhibitor, ↓ rate of glucose absorption). RESULT: ↓ 36% progression to diabetes
Chiasson J-L, Josse RG, Hanefeld M, et al. JAMA 2003;346:393.
CV Events
Acarbose
↓ 49% RR
STOP-NIDDM Trial: CV events
GLYCEMIC INDEX RANKING Foods grouped into high, intermediate and low classes according to GI :
High GI (GI >90) Most Breads Plain Crackers Most Breakfast Cereals
Instant Mashed Potatoes Millet Corn chips
Medium GI (GI 70-89) All Bran Oatmeal Most biscuits or cookies Buckwheat
Sweet Corn Boiled New Potatoes Yam Sweet Potatoes
Low GI (GI <69) Pasta Pumpernickel Bread Parboiled Rice Most legumes (dried)
Nuts Barley Bulgur (cracked wheat)
High GI
Intermediate GI
Low GI
0
1
2
3
4
5
6
7
8
Time (h)
Blo
od G
luco
se (m
mol
/L)
Spaghetti
White Bread
Wholemeal Bread
0 1 2 3
<0.05
<0.005<0.001 <0.005
<0.02
Jenkins et al. Diab Care 1983;6:155-9
Blood Glucose Increments after Spaghetti, White and Wholemeal Bread (n=9)
4-hr Glucose Response Curves
4.00
4.50
5.00
5.50
6.00
6.50
7.00
7.50
0 30 60 90 120 150 180 210 240
Time (min)
Glu
cose
Con
cent
ratio
n (m
mol
/L)
50 Bread
100 Bread
50 Pasta
100 Pasta
GI & GL and Blood Glucose Response
(unpublished)
Glycemic Response of Tested Foods
0
25
50
75
100
125
150
GI (
%)
50 Bread100 Bread50 Pasta100 Pasta
a
bcControl
Blood Glucose: Area Under Curve High vs Low GI/GL Meals
(unpublished)
GI & GL and Blood Insulin Response
4-hr Insulin Response Curves
0
50
100
150
200
250
300
350
400
0 30 60 90 120 150 180 210 240
Time (min)
Insu
lin C
once
ntra
tion
(pm
ol/L
)
50 Bread
100 Bread
50 Pasta
100 Pasta
(unpublished)
Insulin IAUC (4-hr)
0
10,000
20,000
30,000
40,000
50,000
Insu
lin c
once
ntra
tions
(p
mol
/L)
50 Bread
100 Bread
50 Pasta
100 Pasta
Blood Insulin: Area Under Curve High vs Low GI/GL Meals
a
b c control
(unpublished)
Low vs High GI Diet: a Meta-Analysis % Difference in Glycated Proteins
% -35 -25 -15 -5 5 15!
Gilbertson et al. 2001 Komindr et al. 2001 Giacco et al 2000 Luscombe et al 1999 Jarvi et al 1999 Lafrance et al 1998 Frost et al 1993 Wolever et al 1992 Wolever et al 1992 Fontvieille et al 1992 Brand et al 1991 Jenkins et al 1991 Fontvieille et al 1988 Collier et al 1988 !
Mean %difference in 14 studies = -7.4% (CI -8.8 to -6.0%)!OVERALL RESULT!
Brand-Miller et al, Diabetes Care 2003;26:2261-67
Glycemic Load and Type 2 Diabetes – Cohort Studies
Livesey et al, Am J Clin Nutr (2013)
Overall Effect: RR=1.27/100g GL
P<0.001
Parameter ADA BDA CDA EASD Weight Reduction Modest weight loss Desirable weight Healthy weight Desirable weight
(5-7%) Physical Activity Increase Increase Increase Increase Carbohydrate 50-60% 50-55% 50-60% 45-60% Polysaccharides Whole grains, Fiber rich foods Whole grain cereals Low GI foods
fruits, vegetables & legumes Sugars No limit <25 g/d ≤10% added <10% calories Glycemic index Does not recommend Discusses Include low GI foods low GI foods
for general use recommended Fiber As for general >30 g/d 25-35 g/d Increase
population (low GI foods) Protein 15-20% 10-15% 11% 10-20% Total fat 25-35% 30-35% < 30% < 35% SFA/Trans <10% <10% < 10% < 10% MUFA 10-20% 10-15% 10-15% 10-20% PUFA ~10% <10% < 10% < 10% Cholesterol <300 mg/d <300 mg/d - < 300 mg
International Diabetes Associations’ Lifestyle and Dietary Guidelines
Anderson, Randles, Kendall, Jenkins. J Am Coll Nutr (2003)
Low GI Diet in Diabetes Control: Effectiveness Study (n=210)
Study Design
Low Glycemic Index diet
Month
Week
1 2 3 4
1 2 3 4 5 6 7 8 9 10 12 13 14 15 16
♠ ♠ ♠ ♠ ♠ ♠
11
π π π π π π π
High Cereal Fiber diet♠ Blood, BP & 7-day diet record
π Anthropometry
Figure 3. Schematic representation of the study protocol
Pretest +Randomization
(2 months)
17 18 19 20 21 22 23 24
5 6
π♠
Low Glycemic Index diet
Month
Week
1 2 3 4
1 2 3 4 5 6 7 8 9 10 12 13 14 15 16
♠ ♠ ♠ ♠ ♠ ♠
11
π π π π π π π
High Cereal Fiber diet♠ Blood, BP & 7-day diet record
π Anthropometry
Figure 3. Schematic representation of the study protocol
Pretest +Randomization
(2 months)
17 18 19 20 21 22 23 24
5 6
π♠
Bran flakesOatmeal
Whole wheat crackersBulgur
Vegetable soupBeans, Chickpeas, Lentils
Whole wheat breadPumpernickel bread (Dimpflmeier)
Rye crackersBarley
Shredded WheatRed River cereal
White / Brown riceParboiled rice
Potato (baked, mashed)Pasta (al dente)
High Cereal Fiber Diet (Control)
Low GI Diet (Test)
Bran flakesOatmeal
Whole wheat crackersBulgur
Vegetable soupBeans, Chickpeas, Lentils
Whole wheat breadPumpernickel bread (Dimpflmeier)
Rye crackersBarley
Shredded WheatRed River cereal
White / Brown riceParboiled rice
Potato (baked, mashed)Pasta (al dente)
High Cereal Fiber Diet (Control)
Low GI Diet (Test)
GI < 70 GI = 80
Recommended Study Foods
23
Low Glycemic Index Diets and Diabetes Control
Jenkins DJ, Kendall CW et al. JAMA 2008.
Control Low GI Energy (kcal) 1,648 1,664 Fat (%) 29.4 32.6
SFA 8.9 9.1 MUFA 11.6 12.9 PUFA 5.9 6.5 Cholesterol (mg/100kcal) 145 143
Protein (%) 21.0 21.5 Carbohydrate (%) 48.1 44.4 Fiber (g/1000 kcal) 16.5 19.7
GI 84 70
HbA1c (intent to treat, n=210)
0 4 8 12 16 20 24
Week
6.306.406.506.606.706.806.907.007.107.207.30
HbA
1c (%
)
Low Glycemic Index
High Cereal Fiber
P<0.001
Jenkins DJ, Kendall CW et al. JAMA 2008.
Fasting Glucose
114
118
122
126
130
134
138
142
146
Fast
ing
gluc
ose
(mg/
dL)
Low Glycemic Index
High Cereal Fiber
P=0.022
0 4 8 12 16 20 24
Week Jenkins DJ, Kendall CW et al. JAMA 2008.
Body Weight (kg)
8081828384858687888990
Bod
y w
eigh
t (kg
)
Low Glycemic Index
High Cereal Fiber
P=0.053
0 4 8 12 16 20 24
Week Jenkins DJ, Kendall CW et al. JAMA 2008.
HDL-C
38
39
40
41
42
43
44
45
46
HD
L-C
(mg/
dL)
Low Glycemic Index
High Cereal Fiber
P=0.005
0 4 8 12 16 20 24
Week Jenkins DJ, Kendall CW et al. JAMA 2008.
LDL/HDL-C
2.1
2.2
2.3
2.4
2.5
2.6
2.7
LDL/HDL-C
Low Glycemic Index
High Cereal Fiber
P=0.047
0 4 8 12 16 20 24
Week Jenkins DJ, Kendall CW et al. JAMA 2008.
Diastolic BP
68
70
72
74
76
Dia
stol
ic B
P (m
mH
g)
Low Glycemic Index
High Cereal Fiber
Jenkins DJ, Kendall CW et al. JAMA 2008.
0 4 8 12 16 20 24
Week
P=0.37
Effect of pulses alone on Fasting Blood Glucose
Study or SubgroupAnderson et al. [45]Wursh et al. [46]Cobiac et al. [47]Fleming et al. [48]Fruhbeck et al. [49]Jang et al. [50] CADJang et al. [50] DM2Nestel et al. [51]Winham et al. [53]Winham et al. [52]Pittaway et al. [54]
Total (95% CI)Heterogeneity: Tau² = 0.71; Chi² = 79.65, df = 10 (P < 0.00001); I² = 87%Test for overall effect: Z = 2.95 (P = 0.003)
Weight9.3%8.3%
10.1%8.6%7.9%7.9%8.3%9.8%9.3%
10.2%10.3%
100.0%
IV, Random, 95% CI-0.68 [-1.37, 0.01]0.67 [-0.25, 1.59]
-0.12 [-0.57, 0.33]0.04 [-0.80, 0.88]
-2.96 [-3.98, -1.94]-3.55 [-4.57, -2.53]-1.63 [-2.55, -0.71]-0.88 [-1.43, -0.33]
0.00 [-0.69, 0.69]-0.14 [-0.57, 0.29]
-0.52 [-0.93, -0.11]
-0.82 [-1.36, -0.27]
Year19841988199019901997200120012004200720072007
Std. Mean Difference Std. Mean DifferenceIV, Random, 95% CI
-4 -2 0 2 4Favours Pulses Alone Favours Control
Sievenpiper, Kendall, et al. Diabetologia (2009)
Effect of pulses alone on Fasting Blood Insulin
Study or SubgroupWursh et al. [46]Fleming et al. [48]Fruhbeck et al. [49]Jang et al. [50] DM2Jang et al. [50] CADNestel et al. [51]Winham et al. [52]Pittaway et al. [54]Winham et al. [53]
Total (95% CI)Heterogeneity: Tau² = 0.32; Chi² = 30.02, df = 8 (P = 0.0002); I² = 73%Test for overall effect: Z = 2.14 (P = 0.03)
Weight7.7%7.9%9.4%
11.9%14.2%12.1%12.2%13.2%11.5%
100.0%
IV, Random, 95% CI-0.23 [-1.39, 0.93]0.00 [-1.14, 1.14]
-2.69 [-3.63, -1.75]-0.63 [-1.30, 0.04]
-0.61 [-1.02, -0.20]-0.14 [-0.79, 0.51]-0.26 [-0.89, 0.37]0.16 [-0.37, 0.69]
-0.24 [-0.95, 0.47]
-0.49 [-0.93, -0.04]
Year198819901997200120012004200720072007
Std. Mean Difference Std. Mean DifferenceIV, Random, 95% CI
-4 -2 0 2 4Favours Pulses Alone Favours Control
Sievenpiper, Kendall, et al. Diabetologia (2009)
Effect of pulses in low-GI diets on Glycated Proteins
Study or Subgroup
Jenkins et al. [13]Jenkins et al. [14]Brand et al. [16]Wolever et al. [19]Fontvielle et al. [17]Wolever et al. [18]Frost et al. [20]Gilbertson et al. [21]Komindr et al. [22]Jimenez-Cruz et al. [24]Rizkalla et al. [27]Jimenez-Cruz et al. [25]Frost et al. [26]Wolever et al. [31]Ma et al. [30]
Total (95% CI)
Heterogeneity: Tau² = 0.04; Chi² = 37.66, df = 14 (P = 0.0006); I² = 63%Test for overall effect: Z = 3.93 (P < 0.0001)
Weight
3.9%5.2%4.8%
11.3%10.6%9.8%4.1%6.1%6.7%8.6%6.1%1.8%6.7%8.6%5.8%
100.0%
IV, Random, 95% CI
-0.93 [-1.52, -0.34]-0.62 [-1.09, -0.15]-0.55 [-1.06, -0.04]-0.24 [-0.38, -0.10]
0.00 [-0.18, 0.18]-0.31 [-0.53, -0.09]-0.40 [-0.97, 0.17]
-0.49 [-0.90, -0.08]-0.07 [-0.44, 0.30]
-0.56 [-0.83, -0.29]-0.69 [-1.10, -0.28]
0.00 [-0.98, 0.98]0.10 [-0.27, 0.47]0.00 [-0.27, 0.27]0.09 [-0.34, 0.52]
-0.28 [-0.42, -0.14]
Year
198719881991199219921992199420012001200320042004200420082008
Std. Mean Difference Std. Mean DifferenceIV, Random, 95% CI
-4 -2 0 2 4Favours Pulses (LGI) Favours Control
Sievenpiper, Kendall, et al. Diabetologia (2009)
Effect of pulses in high-fibre diets on
Fasting Blood Glucose Study or Subgroup
Simpson et al. [55] DM1Simpson et al. [55] DM2Kinmonth et al. [56]Riccardi et al. [58]Karlstrom et al. [57]O'Dea et al. [59]Anderson et al. [60]Singh et al. [61]Giacco et al. [63]Chandalia et al. [62]Hall et al. [64]
Total (95% CI)
Heterogeneity: Tau² = 0.07; Chi² = 193.75, df = 10 (P < 0.00001); I² = 95%Test for overall effect: Z = 3.66 (P = 0.0003)
Weight
2.2%10.6%10.0%10.3%10.3%10.0%10.2%10.0%6.9%
10.0%9.4%
100.0%
IV, Random, 95% CI
-0.73 [-1.77, 0.31]-0.69 [-0.75, -0.63]-0.44 [-0.58, -0.30]-0.19 [-0.29, -0.09]-0.07 [-0.17, 0.03]
-0.34 [-0.48, -0.20]-0.28 [-0.40, -0.16]-0.30 [-0.44, -0.16]-0.68 [-1.07, -0.29]-0.35 [-0.49, -0.21]
0.14 [-0.06, 0.34]
-0.32 [-0.49, -0.15]
Year
19811981198219841987198919911996200020002005
Std. Mean Difference Std. Mean DifferenceIV, Random, 95% CI
-4 -2 0 2 4Favours Pulses (HF) Favours Control
Sievenpiper, Kendall, et al. Diabetologia (2009)
Effect of pulses in high-fibre diets on Glycated Proteins
Study or Subgroup
Simpson et al. [55] DM1Simpson et al. [55] DM2Karlstrom et al. [57]O'Dea et al. [59]Anderson et al. [60]Giacco et al. [63]Chandalia et al. [62]
Total (95% CI)
Heterogeneity: Tau² = 0.05; Chi² = 159.20, df = 6 (P < 0.00001); I² = 96%Test for overall effect: Z = 2.92 (P = 0.003)
Weight
15.0%15.3%15.3%15.0%15.0%9.0%
15.5%
100.0%
IV, Random, 95% CI
-0.10 [-0.20, -0.00]-0.50 [-0.58, -0.42]-0.59 [-0.67, -0.51]
0.05 [-0.05, 0.15]-0.12 [-0.22, -0.02]-0.42 [-0.81, -0.03]-0.24 [-0.30, -0.18]
-0.27 [-0.45, -0.09]
Year
1981198119871989199120002000
Std. Mean Difference Std. Mean DifferenceIV, Random, 95% CI
-4 -2 0 2 4Favours Pulses (HF) Favours Control
Sievenpiper, Kendall, et al. Diabetologia (2009)
Low GI Pulse Based Diet in Diabetes Mean Daily Nutrient Intakes
High Fiber Control
Pulse Diet Test
Energy, Kcal 1440 1491*
Fat (% energy) 29.3 31.0*
Protein (% energy) 21.7 23.0*
Available carbohydrate (% of energy) 49.0 46.2
Fiber (g/1000 kcal) 18.6 25.2*
Glycemic index 82 66*
Pulses (g/d) 20 196*
Jenkins, Kendall, et al. Arch Intern Med (2012)
Between Treatment Difference (P-value)
High Fiber Control
Pulse Diet Test
(n=64) (n=67) Weight (kg) -1.7* -2.6* 0.219
Glucose (mgl/dL) -7 -11* 0.934 HbA1c (%) -0.3* -0.5* 0.001
Lipids (mg/dL)
Total Cholesterol -2 -9* 0.001 LDL-C -1 -3* 0.063 HDL-C 1* 0 0.001
Triglycerides -9* -19* 0.064 Total Chol:HDL-C ratio -0.12* -0.14* 0.360
Blood Pressure (mmHg)
Systolic 0 -4* 0.010 Diastolic 0 -3* 0.001
Low GI Pulse Based Diet in Diabetes Change Across Treatments (mean) (n=131)
10y CHD Risk (%) -0.5 -1.1* 0.010
Jenkins, Kendall, et al. Arch Intern Med (2012)
Dietary Approaches to Managing Diabetes - Low Carbohydrate Diets -
Ajala O, et al. AJCN 2013.
Overall Effect HbA1c: -0.12%, P=0.04
Dietary Approaches to Managing Diabetes - Low Glycemic Index -
Ajala O, et al. AJCN 2013.
Overall Effect HbA1c: -0.14%, P=0.008
Dietary Approaches to Managing Diabetes - Mediterranean Diet -
Ajala O, et al. AJCN 2013.
Overall Effect HbA1c: -0.47%, P=0.00001
Dietary Approaches to Managing Diabetes - High Protein Diets -
Ajala O, et al. AJCN 2013.
Overall Effect HbA1c: -0.28%, P=0.00001
Muffins Both Nuts
Energy (kcal/d) 471 474 477
Total fat (g/d) 21 32 44
MUFA (g/d) 3 14 25
PUFA (g/d) 12 12 12
SFA (g/d) 5 5 5
Dietary Cholesterol (mg/d) 2 1 0
Total Protein (g/d) 12 12 12
Plant Protein (g/d) 7 10 12
Available Carbohydrate (g/d) 58 34 9
Fiber (g/d) 6 6 6
Glycemic Load 36 19 1
Nuts and Diabetes (n=117) Nutrients Provided by Study Supplements
.
Jenkins, Kendall, et al. Diab Care (2011)
-0.30
-0.25
-0.20
-0.15
-0.10
-0.05
0.00
Cha
nge
in %
HbA
1c
Full Dose Nuts
Half Dose Nuts and Muffins
Full Dose Muffins
P=0.0012
P=0.3855 P=0.4834
Nuts and Diabetes Change in % HbA1c Across Treatments (n=117)
Jenkins, Kendall, et al. Diab Care (2011)
Full vs Half P=0.004 Full vs Muffin P=0.001
P-value Treatment Difference
Nuts Both Muffins Characteristics (n=40) (n=38) (n=39)
Weight (kg) 79.7±2.28 86.50±2.54 82.90±2.35 0.327
Glucose (mmol/L) 7.15±0.22 7.41±0.33 7.18±0.25 0.425
HbA1c (%) 6.88±0.10 7.02±0.12 7.06±0.09 0.039
Lipids (mmol/L)
Total Cholesterol 4.16±0.18 3.98±0.13 4.32±0.17 0.002
LDL-C 2.34±0.15 2.21±0.10 2.47±0.13 0.007
HDL-C 1.10±0.04 1.09±0.04 1.14±0.06 0.701
Triglycerides 1.59±0.16 1.50±0.14 1.64±0.16 0.204
Total Chol:HDL-C ratio 3.88±0.16 3.84±0.19 3.97±0.21 0.015
LDL-C:HDL-C ratio 2.17±0.13 2.14±0.13 2.29±0.14 0.028
Blood pressure (mmHg)
Systolic 120±2 124±2 124±2 0.678
Diastolic 70±1 71±1 72±2 0.182
End of Treatment Differences for Intent-to-Treat Analyses (n=117) (mean + sem)
Nuts consumption >5x/wk 18 - 51% reduction in CHD
risk.
Kris-Etherton PM, Zhao G, Binkoski AE, Coval SM, Etherton TD. Nutr. Rev. 2001
Nuts & CHD Risk: Epidemiologic Studies
45
Subjects: High risk of CVD (aged 55-80y) Study Design: Randomized Control Trial Three Study groups:
Control: Advice to reduce dietary fat Test 1: Mediterranean Diet plus Olive Oil
(1litre per week) Test 2: Mediterranean Diet plus Nuts (30g per day)
Duration: average 4.8 y follow-up
PREDIMED Trial (7,447 men and women)
Estruch, Ros, Salas-Salvado et al. N Engl J Med 2013
46
Estruch, Ros, Salas-Salvado et al. N Engl J Med 2013
PREDIMED Trial (7,447 men and women)
Low GL Canola Based Diet in Diabetes Mean Daily Nutrient Intakes (n=141)
Whole Wheat Control Diet
Low GI Canola P-value
Energy (kcal/d) 1617 1525 0.089
Total fat (%) 27 37 <0.001
SFA (%) 8 8 0.684
MUFA (%) 10 18 <0.001
PUFA (%) 7 9 <0.001
Diet Cholest (mg/1000 kcal) 137 135 0.601
Total Protein (%) 20 20 0.370
Plant Protein (%) 8 9 <0.001
Available Carbohydrate (%) 49 38 <0.001
Fiber (g/1000 kcal) 20 19 0.261
Glycemic Index 87 73 <0.001
Glycemic Load 122 75 <0.001
Between Treatment Difference (P-value)
Whole Wheat Control
Low GI Canola
(n=69) (n=70) Weight (kg) -1.9* -2.4* 0.133
Glucose (mmol/L) -0.45* -0.43* 0.759 HbA1c (%) -0.35* -0.48* 0.001
Lipids (mmol/L)
Total Cholesterol -0.02 -0.25* <0.001 LDL-C 0.00 -0.15* <0.001 HDL-C -0.01 -0.02 0.096
Triglycerides -0.05 -0.16* 0.034 Total Chol:HDL-C ratio 0.01 -0.15* 0.002
Blood Pressure (mmHg)
Systolic -5* -5* 0.982 Diastolic -3* -4* 0.579
Low GL Canola Based Diet in Diabetes Change Across Treatments (mean) (n=141)
Summary • There is increasing scientific evidence from
clinical studies that low GI/GL diets improve glycemic control in diabetes.
• Low GI/GL diets also appear to have other metabolic advantages including improvements in blood lipids, blood pressure and possibly body weight for individuals with diabetes.
• Part of the effect appears to be slowing carbohydrate absorption.
Summary
• Low GI/GL foods are part of traditional diets.
• We should be promoting traditional diets and low GI foods as part of a healthy dietary pattern.