This document discusses the relationship between yogurt consumption and the risk of diabetes, highlighting a significant inverse association between yogurt intake and type 2 diabetes incidence. It synthesizes findings from multiple epidemiological studies that suggest higher consumption of dairy products, particularly yogurt, may protect against diabetes and mitigate its complications. The author also addresses dietary patterns, lifestyle factors, and the broader implications of dairy consumption on health outcomes.

1. Jordi Salas-Salvadó
Human Nutrition Unit
Faculty of Medicine and Health Sciences of Reus
Department of Biochemistry and Biotechnology
Universitat Rovira i Virgili
Yogurt and diabetes:
Overview of the recent epidemiologic studies

2. Conflict of interest
regarding this presentation:
• I am member of the Executive Committee of the Spanish
Danone Institute.
• YINI programme has paid for travel and accommodation
expenses for this presentation.
YOGURT AND DIABETES

3. DIABETES: THE GLOBAL BURDEN
More than 387 million people in the word have diabetes.
By 2030 is expected this will have risen to 592 million people.

4. • The prevalence of T2DM is increasing in parallel to
the obesity epidemics.
• 80% of the T2DM individuals have between 45-64 y
and are living in developing countries.
• T2DM is a potent risk factor for cardiovascular
disease, blindness, renal failure, and lower limb
amputation, decreasing quality of life.
• T2DM is responsible of the 5 % of the total
mortality.
• In the next 10 years is expected that mortality by
diabetes will increase by 50%.
DIABETES: THE GLOBAL BURDEN

5. Geneticbackground
Physical activity
Smoking
Alcohol intake
Diet
Overweight
DIABETES
RISK
Lifestyleriskfactors RISK FACTORS FOR DIABETES

6. Increase risk Decrease risk
Foods Sugar-rich beverages, fruit juices**
Meat and processed meat**
Hydrogenated oils and margarines *
Eggs*
Whole grains**
Coffee and tea**
Low-fat milk and dairy products**
Moderate alcohol consumption*
Fruits and vegetables*
Pulses*
Nuts (in women)*
Nutrients Saturated fatty acids*
Trans fatty acids*
Fiber**
Unsaturated fatty acids**
Antioxidants*
Magnesium* Vitamin D*
Dietary patterns High glycemic index diets**
Western dietary pattern**
Low glycemic index diets*
Mediterranean diet**
Prudent diet***
***High level of evidence from several prospective observational studies and randomized trials. **Moderate
evidence from several prospective observational studies or meta-analysis. *Reasonable evidence from some
prospective observational studies or expert opinions.
Foods, nutrients and dietary patterns in the
prevention of type 2 diabetes
Salas-Salvadó et al, NMCD 2011
Epidemiologic studies

7. OXIDATION
INFLAMMATION
Endothelial
dysfunction
Insulin resistance/secretion
DIABETES
Genetic
background
Low glycemic index
Fiber
MUFA / PUFA
Magnesium
Antioxidants
(-)
(-)
(-)
(-)
(-)
High glycemic index
SFA
TFA
(+)
(+)
(+)
MECHANISMS
Salas-Salvadó et al, NMCD 2011
(-)

8. DAIRY PRODUCTS
OBESITY
CANCER
RISK
CARDIOVASCULAR DISEASEDIABETES
METABOLIC
SYNDROME
Minerals
Vitamins
Proteins
calcium
magnesium
potassium
phosphor
zinc
Vit. A
Vit. D
Vit. B2, B3, B6, B12
Vit. K2
Probiotic effects
“fermented foods”
OSTOPOROSIS
CH “lactose”
Fat

9. DAIRY PRODUCTS
Nutritional concerns:
Rich in natural trans fatty acids
Rich in saturated fatty acids
Rich in salt (ie. cheese)
Rich in added sugar (some yogurts and processed dairy foods)
Irrational beliefs that lead to a decrease in consumption:
“Humans are the unique animals that consume dairy products through the life”

10. DAIRY PRODUCTS
In the last years some guidelines
recommend to consume low-fat dairy
products or to limit them

11. DAIRY PRODUCTS
Astrup A. Yogurt and dairy product consumption to prevent cardiometabolic diseases:
epidemiologic and experimental studies. Am J Clin Nutr. 2014.
“The consumption of yogurt and other dairy products, in observational studies is associated with
a reduced risk of weight gain and obesity as well as of CVD, and these findings are, in part,
supported by randomized trials”.
Recent published evidences support
the idea that dairy products can be
beneficial (or not harmful) for
several chronic metabolic conditions
and CVD.

12. “four meta-analysis of prospective studies have shown a decrased risk of
diabetes in those individuals with a higher consumption of dairy
products”.
DAIRY PRODUCTS AND DIABETES

13. Ericson U. Am J Clin Nutr 2015
Total intake of high-fat dairy products was inversely associated with
incident T2D (HR for highest compared with lowest quintiles: 0.77; CI 0.68-
0.87; P-trend<0.001).
Most robust inverse associations were seen for intakes of high-fat
fermented milk (P-trend<0.01) and for cheese in women (P-trend=0.02).
Intakes of saturated fatty acids with 4–10 carbons, lauric acid (12:0), and
myristic acid (14:0) were associated with decreased risk (P-trend<0.01).
Conclusions: Decreased T2D risk at high intake of high- but not
of low-fat dairy products suggests that dairy fat partly could
have contributed to previously observed protective associations
between dairy intake and T2D.
DAIRY PRODUCTS AND DIABETES
IS FAT FROM DAIRY UNHEALTHY AND INCREASES
THE RISK OF DIABETES?

14. Odd chain
15:00
Pentadecanoic
Odd chain
17:00
Heptadecanoic
Trans 16:1n-7
Transpalmitoleic
Even chain
14:00; 16:00
18:00
Swedish participants (Krachler 2008)
Erythrocyte membrane (-) (-) (+) palmitoleic
CHS (Mozzafarian 2010)
Circulating
(-)
Insulin resistance
EPIC-Norfolk (Patel 2010)
Erythrocyte membrane, circulating
NS (-) NS (+) palmitoleic
EPIC-Postdam (Kröger 2011)
Erythrocyte membrane
(-) (-)
NS myristic
NS palmitoleic
(+) stearic
MESA (Mozzafarian 2013)
Circulating
(-)
Insulin resistance
EPIC-Interact (Farouhi 2014)
Circulating
(-) (-) (+)
IRAS (Santoven 2014)
Circulating
(-)
Insulin sensitivity
Β-cell function
NS
CHS: Cardiovascular Health Study; MESA: Multi-Ethnic Study of Atherosclerosis
IRAS: Triethnic Multicenter Insulin Resistance Atherosclerosis Study
Circulating or erythrocyte membrane fatty acid composition and diabetes
incidence or glucose and insulin metabolism
Odd chain fatty acids
protect from diabetes
DAIRY PRODUCTS AND DIABETES
Widely distributed in many food
Endogenously
synthesized

15. Astrup A.
A changing view on saturated fatty acids and dairy: from enemy to friend
Am J Clin Nutr. 2014;100(6):1407-8.
“The totality of evidence does not support that dairy SFAs increase the risk of
coronary artery disease or stroke or CVD mortality”
“In contrast, lean dairy is clearly associated with decreased risk of T2D, and this
effect is partly independent of any effect of body fat loss”
“There is no evidence left to support the existing public health advice to limit
consumption of dairy to prevent CVD and T2D”
DAIRY PRODUCTS AND DIABETES

16. DAIRY PRODUCTS
Turner KM, Keogh JB, Clifton PM. Dairy consumption and insulin sensitivity:
a systematic review of short- and long-term intervention studies. Nutr
Metab Cardiovasc Dis. 2015 Jan;25(1):3-8.
Conclusions (in adults):
• 4 Showed a positive effect on insulin sensitivity as assessed by HOMA.
• 1 Showed a negative effect
• 5 Showed No effect.
As the number of weight stable intervention studies is very limited and
participant numbers small, these findings need to be confirmed by larger trials
in order to conclusively determine any relationship between dairy intake and
insulin sensitivity.

17. What makes the yogurt different?
Possible probiotic effects: changing gut microbiota and body metabolism
Is a marker of a healthy lifestyle?
Replace other unhealthy or healthy
foods when consumed?
YOGURT AND HEALTH
In epidemiologic prospective studies usually yogurt consumption is
inversely related to body weight gain, obesity, metabolic syndrome,
diabetes and cardiovascular disease.

18. “ONLY YOGURT HAS BEEN ASSOCIATED TO A LOWER RISK OF DIABETES”
YOGURT AND DIABETES
17% lower risk of diabetes incidence in
those consuming 3 or more servings of
yogurt per week
41,436 men in the Health Professionals Follow-Up Study
67,138 women in the Nurses' Health Study
85,884 women in the Nurses' Health Study II
3,984,203 person-years of follow-up
15,156 incident T2D cases

19. HRs for a serving yogurt consumption per day and type 2 diabetes
YOGURT AND DIABETES
The Australian Diabetes Obesity and Lifestyle Study
The Whitehall II Prospective Study
EPIC-Interact Study
Women’s Health Initiative
Japan Public Health Center–based Prospective Study
Women’s Health Study
Health Professional Follow-up Study
Nurses Health Study I
Nurses Health Study II
Per 1 serving
18% lower risk

20. Tertile 1 Tertile 2 Tertile 3 P-Trend
Total dairy intake (g/day) 130 246 404
1 0.94 (0.75,1.19) 1.08 (0.86,1.37) 0.537
High-fat dairy intake (g/day) 0 35 25
1 0.76 (0.58,0.98) 1.09 (0.87,1.37) 0.080
Low-fat dairy intake (g/day) 16 160 325
1 0.95 (0.76,1.20) 0.92 (0.73,1.17) 0.540
Milk intake (g/day) 97 201 353
1 0.95 (0.76,1.20) 1.11 (0.88,1.41) 0.432
Yoghurt intake (g/day) 0 21 80
1 0.84(0.64,1.10) 0.72(0.55,0.95) 0.017
Cheese intake (g/day) 3 13 32
1 1.05 (0.84,1.32) 1.04 (0.83,1.31) 0.760
High-fat fermented dairy intake (g/day) 0 8 22
1 1.23 (0.96,1.57) 1.16 (0.91,1.49) 0.397
Low-fat fermented dairy intake (g/day) 0 21 80
1 0.89 (0.60,1.16) 0.76 (0.60,0.99) 0.049
Model 1: adjusted for age, sex
Model 2: Model 1 +BMI, family history of diabetes, smoking, alcohol, physical activity index, social class, education level
Model 3: Model 2 + energy, fibre, fruit, vegetables, red meat, processed meat, coffee intake
Tertile cut-offs are based on energy-adjusted intakes in the subcohort, calculated using the residual method
YOGURT AND DIABETES
O’Connor et al, Diabetologia 2014
A nested case-cohort within the EPIC-Norfolk Study (including a random subcohort (n=4,000) and
cases of incident diabetes (n=892, including 143 cases in the subcohort) followed-up for 11 years.

21. Most of the studies were conducted in apparently healthy young or
middle-aged individuals from different populations.
No study has examined the association between dairy intake and risk
of diabetes in elderly individuals at high cardiovascular risk.
YOGURT AND DIABETES

22. PREDIMED – Participants’ characteristics
MeDiet + VOO
(n=2487)
MeDiet + Nuts
(n=2396)
Control
(n=2349)
Age, y (SD) 67 (6) 67 (6) 67 (6)
Women (%) 57 54 58
Diabetes (%) 50 47 48
Hypertension (%) 82 82 84
Current smokers (%) 14 15 14
Dyslipidemia (%) 72 73 72
BMI, kg/m2 (SD) 30 (4) 30 (4) 30 (4)
Waist circumf., cm (SD) 100 (10) 100 (10) 101 (11)
MeDiet 14-p score (SD) 8.7 (2) 8.7 (2) 8.3 (2)
Trial started October 2003, terminated July 2011
Mean follow-up for 5 years
POPULATION STUDIED

23. Objectives
 To assess the associations between total consumption of dairy and
specific dairy subgroups and development of diabetes.
 To estimate the effects of the substitution of one serving of dairy
products for other serving of alternative foods on diabetes risk in an
elderly Mediterranean population at high cardiovascular risk.
YOGURT AND DIABETES
Prospective analysis - non-diabetic PREDIMED participants at baseline.
3,454 participants (1980 ♂, 2536 ♀).
270 incident cases of diabetes (median follow-up of 4.1 years).

24. RESEARCH DESIGN AND METHODS
Low-fat dairy (71%)
Totaldairy(362g/d)
Total milk (63%)
Non-reduced fat dairy (29 %)
Low-fat milk (85%)
Total fermented dairy
Dairy consumption was adjusted for total energy intake using the nutrient residual method and we calculated and used the cumulative
average of dairy consumption.
Semi-skim/skim milk and skim yogurt
Whole milk, condensed milk, milkshake, whole yogurt, whipped
cream, custard, ice cream and all types of cheeses
Totaldairy(362g/d)
Total yogurt (24%)
Total cheese (11%)
Non-reduced fat milk (15%)
Low-fat yogurt (70%)
Non-reduced fat yogurt (30%)
All types of yogurt and cheese
YOGURT AND DIABETES
A validated semiquantitative 137- item food frequency questionnaire:
Information about dairy products was assessed in fifteen items of the FFQ.

25. HRs for type 2 diabetes according to tertiles of total, low-fat and whole-fat dairy
food consumption in the PREDIMED cohort
“Total and low- fat dairy
consumption was inversely
associated to a lower risk of
diabetes”
3.454 non-diabetic participants
270 incident cases of diabetes
(median follow-up of 4.1 years).
Díaz-López et al, Eur J Nutr 2015
DAIRY AND DIABETES
aTertile cut-offs are based on energy-adjusted cumulative average dairy food intake and values are medians
(interquartile range).
Cox regression models were used to assess the RR (95% CI) of diabetes according to tertiles of dairy food intake.
Model 1: Adjusted for age, sex and BMI.
Model 2: Additionally adjusted for dietary intervention group,
physical activity, educational level, smoking, hypertension,
dyslipidemia, and fasting glucose, HDL-cholesterol and
triglyceride levels.
Model 3: Additionally adjusted for cumulative average dietary
intakes in energy-adjusted quintiles (vegetables, legumes,
fruits, cereals, meat, fish, olive oil, nuts) and alcohol and
alcohol squared in g/day.
All models were stratified by recruitment center.
Total dairy, median (g/day): T1: 200; T2: 342; T3: 539
Low-fat dairy, median (g/day): T1: 85; T2: 256; T3: 462
Whole-fat dairy, median (g/day): T1: 0; T2: 20; T3: 97

26. HRs for type 2 diabetes according to tertiles of total, low-fat and whole-fat milk
food consumption in the PREDIMED cohort
“Milk was not significantly
associated to the risk of
diabetes”
3.454 non-diabetic participants
270 incident cases of diabetes
(median follow-up of 4.1 years).
Díaz-López et al, Eur J Nutr 2015
MILK AND DIABETES
aTertile cut-offs are based on energy-adjusted cumulative average dairy food intake and values are medians (interquartile R
Cox regression models were used to assess the RR (95% CI) of diabetes according to tertiles of dairy food intake.
Total milk, median (g/day): T1:109; T2: 216; T3: 400
Low-fat milk, median (g/day): T1: 32; T2: 200; T3: 370
Whole-fat milk, median (g/day): T1: 0; T2: 6; T3: 41
Model 1: Adjusted for age, sex and BMI.
Model 2: Additionally adjusted for dietary intervention group,
physical activity, educational level, smoking, hypertension,
dyslipidemia, and fasting glucose, HDL-cholesterol and
triglyceride levels.
Model 3: Additionally adjusted for cumulative average dietary
intakes in energy-adjusted quintiles (vegetables, legumes,
fruits, cereals, meat, fish, olive oil, nuts) and alcohol and
alcohol squared in g/day.
All models were stratified by recruitment center.

27. HRs for type 2 diabetes according to tertiles of specific yogurt consumption in
the PREDIMED cohort
“Independently of the fat
content, a higher consumption
of yogurt has associated to a
lower risk of diabetes”
3.454 non-diabetic participants
270 incident cases of diabetes
(median follow-up of 4.1 years).
Díaz-López et al, Eur J Nutr 2015
YOGURT AND DIABETES
aTertile cut-offs are based on energy-adjusted cumulative average dairy food intake and values are medians (Interquartil R).
Cox regression models were used to assess the RR (95% CI) of diabetes according to tertiles of dairy food intake.
Total yogurt, median (g/day):T1: 13; T2: 71; T3: 128
Low-fat yogurt, median (g/day): T1: 3; T2: 44; T3: 120
Whole-fat yogurt, median (g/day): T1: 0; T2: 7; T3: 45
Model 1: Adjusted for age, sex and BMI.
Model 2: Additionally adjusted for dietary intervention group,
physical activity, educational level, smoking, hypertension,
dyslipidemia, and fasting glucose, HDL-cholesterol and
triglyceride levels.
Model 3: Additionally adjusted for cumulative average dietary
intakes in energy-adjusted quintiles (vegetables, legumes,
fruits, cereals, meat, fish, olive oil, nuts) and alcohol and
alcohol squared in g/day.
All models were stratified by recruitment center.

28. HRs for type 2 diabetes according to tertiles of specific yogurt consumption in
the PREDIMED cohort
“Independently of the fat
content, a higher consumption
of yogurt has associated to a
lower risk of diabetes”
3.454 non-diabetic participants
270 incident cases of diabetes
(median follow-up of 4.1 years).
Díaz-López et al, Eur J Nutr 2015
YOGURT AND DIABETES
aTertile cut-offs are based on energy-adjusted cumulative average dairy food intake and values are medians (interquartile
range). Cox regression models were used to assess the RR (95% CI) of diabetes according to tertiles of dairy food intake.
Total yogurt, median (g/day): T1: 13; T2: 71; T3: 128
Low-fat yogurt, median (g/day): T1: 3; T2: 44; T3: 120
Whole-fat yogurt, median (g/day): T1: 0; T2: 7; T3: 45
An average increment of one
serving/day of the standard serving of
yogurt (125 g) was associated with a
33% lower risk of T2D.
Model 1: Adjusted for age, sex and BMI.
Model 2: Additionally adjusted for dietary intervention group,
physical activity, educational level, smoking, hypertension,
dyslipidemia, and fasting glucose, HDL-cholesterol and
triglyceride levels.
Model 3: Additionally adjusted for cumulative average dietary
intakes in energy-adjusted quintiles (vegetables, legumes,
fruits, cereals, meat, fish, olive oil, nuts) and alcohol and
alcohol squared in g/day.
All models were stratified by recruitment center.

29. HRs (95% CI) for type 2 diabetes associated with the substitution of one serving of yogurt and low-fat
milk for one serving of other alternative foods in the PREDIMED cohort
Substituted foods Yogurt (125 g) Low-fat milk (200 mL)
Dairy desserts (100g)a 0.58 (0.29-1.18) 0.71 (0.35-1.41)
Biscuits and chocolate confectionary (50g) 0.60 (0.38-0.94) 0.69 (0.47-1.03)
Whole-grain biscuits and homemade pastries (50 g) 0.55 (0.32-0.96) 0.63 (0.38-1.05)
aPetit Suisse cheese or custard or ice cream. The servings are based on energy-adjusted cumulative average food intake. Values are
given as HR (95% CI) from Cox regression models adjusted for age, sex, BMI, dietary intervention, physical activity, educational level,
smoking, hypertension, or antihypertensive use (yes/no) and dyslipidemia (yes/no), and fasting glucose, HDL-cholesterol and
triglycerides levels. All models were stratified by recruitment center.
YOGURT SUBSTITUTION AND DIABETES
Díaz-López et al, Eur J Nutr 2015

30. In this prospective study conducted on elderly
subjects at high cardiovascular risk, we report for the
first time that:
 a high intake of dairy products was associated with
decreased risk of T2D.
 the intake of low-fat dairy products, mainly milk and both
low-fat yogurt and non reduced-fat yogurt, were the main
contributors to this association.
 substitutions of one serving of yogurt per day for one
serving of a combination of biscuits and chocolate, or
whole-grain biscuits and homemade pastries per day was
associated with a reduced risk of T2D incidence.
YOGURT AND DIABETES

31. Cox regression models adjusted for intervention group, sex, age, physical activity and BMI and baseline current smoker, and hypoglycemic, hypolipidemic,
antihypertensive and insulin treatment, cumulative average consumption of vegetables, fruit, legumes, cereals, fish, red meat, alcohol, biscuits, olive oil and nuts.
Independent of the fat content,
Yogurt consumption was
inversely associated with the
incidence of MetS and its
components
Yogurt consumption and incidence of MetS or its components: PREDIMED study
1.868 participants without MetS at
baseline; 930 incident cases of
MetS (mean follow-up: 3.2 y)
P for trend=0.230
P for trend=0.004
P for trend=0.689
P for trend=0.348
P for trend=0.183
P for trend=0.048
P for trend=0.005
P for trend=0.001
P for trend<0.001
P for trend<0.001
P for trend=0.095
P for trend=0.126
P for trend=0.864
P for trend=0.011
P for trend=0.001
Central obesity
High fasting plasma glucose
High blood pressure
Low HDL-c
High triglicerides
Metabolic Syndrome P for trend=0.144
TOTAL YOGURT
Central obesity
High fasting plasma glucose
High blood pressure
Low HDL-c
High triglicerides
Metabolic Syndrome P for trend=0.003
WHOLE-FAT YOGURT
Central obesity
High fasting plasma glucose
High blood pressure
Low HDL-c
High triglicerides
Metabolic Syndrome P for trend=0.004
LOW-FAT YOGURT
0.5 1.0 2.0
HAZARD RATIO (95% CI)
Hazard ratios (95% CI) of metabolic syndrome and its components across energy-
adjusted tertiles of yogurt consumption (Tertile 3 vs Tertile 1).
↓23%
↓22%
↓27%
“Low-fat dairy products were inversely associated with MetS incidence”
“The consumption of cheese was associated with an increased risk of MetS incidence”
YOGURT AND METABOLIC SYNDROME
Babio et al, 2015

32. 120,877 U.S. women and men
Free of chronic diseases and not obese
at baseline.
Relationships between changes in food and
beverage consumption and weight changes
every 4 years, according to study cohort.
Mozaffarian et al, N Engl J Med 2011
YOGUR AND OBESITY

33. Effects related to the Ca2+ metabolism
• An increase in intracellular Ca2+:
• Favors insulin secretion and glucose uptake.
• Increases lipogenesis and inhibits lipolysis.
• Calcium present in dairy inhibits fatty acid absorption.
Effects related to the protein a bioactive peptides in yogurt
• Inducing satiety.
• Intestinal hormone activation inducing insulin secretion.
• Whey protein consumed with a carbohydrate meal substantially increased insulin, and
the incretin hormones glucagon-like peptide 1 (GLP-1) and glucose-dependent
insulinotropic polypeptide (GIP).
Probiotic effects of the yogurt
Insulin secretion induced by menaquinones (Vit K2) synthetized by the intestinal
bacteria
Beneficial effects of other components in yogurt
• Minerals (phosphor, magnesium, potassium, zinc) and vitamins (A, D, B2, B3, B6, B12) and
dairy fat.
POSSIBLE MECHANISMS

34. CONCLUSIONS
 A high intake of dairy products was associated with decreased risk of
T2D in several prospective studies.
 Frequent yogurt consumption was consistently associated to a lower
risk of diabetes and this association was independent of the fat
content.
 Substitutions of one serving of yogurt per day for one serving of
other “unhealthy” snacks or food alternatives per day was associated
with a reduced risk of T2D incidence.
 Several mechanisms have been suggested in order to explain these
associations, however more mechanistic studies are needed.
 Large clinical trials with an appropriate design are warranted to
definitively demonstrate that yogurt consumption protects from
diabetes.

35. UNANSWERED RESEARCH QUESTIONS
 If there is a cause-effect relationship between yogurt consumption
and type 2 diabetes, does dairy intake exert directs effects on insulin
sensitivity or are the effects on diabetes risk exerted through changes
in weight?
 Which components of dairy products exert the health effects?
proteins, sugars, minerals, vitamins or constituents associated with
fermentation?
 Are all the types of fat content on dairy products similar in terms of
conditioning the risk of disease?
 What is the net effect on cardiovascular disease of consuming
reduced fat dairy products with added sugar?

37. Baseline characteristics of the study population by tertile of total dairy intake.
Total dairy intake (g/day)a
Tertile 1 (n=1151) Tertile 2 (n=1152) Tertile 3 (n=1151) P
≤ 278 278-417 ≥ 417 valueb
Total dairy intake (g/day) 182 ± 73 343 ± 39 561 ± 119
Age (years) 66 ± 6 67 ± 6 67 ± 6 <0.001
Women, n (%) 506 (44) 744 (64) 891 (77) <0.001
BMI (kg/m2) 29.7 ± 3.5 29.89 ± 3.5 30.44 ± 3.7 <0.001
Overweight/obesity, n (%) 1080 (94) 1090 (95) 1110 (96) 0.014
Hypertension, n (%) 1039 (91) 1056 (92) 1044 (91) 0.64
Tobacco use <0.001
Never smoker, n (%) 560 (49) 754 (65) 842 (73)
Current smoker, n (%) 250 (22) 154 (13) 140 (12)
Former smoker, n (%) 341 (29) 244 (22) 169 (14)
Education level, n (%) <0.001
Primary education 789 (68) 895 (77) 932 (81)
Secondary education or academic/graduate 362 (32) 257 (22) 219 (19)
Leisure-time physical activity, (MET-min/day) 253.9 ± 232.6 222.4 ± 223.5 216.2 ± 206.1 <0.001
Medication use, n (%)
Antihypertensive agents 873 (75) 905 (78) 879 (76) 0.20
Statins or other hypolipidemic drugs 580 (50) 591 (51) 1148 (47) 0.07
Biochemistry, mg/dL
Fasting glucose 99.7 ± 15.5 97.3 ± 15.4 97.7 ± 16.8 0.002
Total cholesterol 218.7 ± 38.2 218.9 ± 37.5 222.7 ± 42.9 0.03
HDL-cholesterol 54.5 ± 14.2 56.2 ± 14.3 57.0 ± 13.8 <0.001
LDL-cholesterol 137.1 ± 33.7 137.1 ± 33.5 140.1 ± 40.4 0.10
Triglycerides 136.2 ± 78.9 129.1 ± 69.4 129.9 ± 68.6 0.049
Data are mean ± SD or number (%). aTertile cut-offs are based on energy-adjusted cumulative average dairy intake.
bP value for differences between tertiles by ANOVA.
cTotal energy-adjusted.
RESULTSRESEARCH DESIGN AND METHODSYOGURT AND DIABETES

38. HRs (95% CI) for type 2 diabetes according to specific dairy food intake in the
PREDIMED cohort
Dairy intake (g/d)a
Variable Tertile 1 Tertile 2 Tertile 3 P for trend
Total cheese intake 11(6-15) 25 (22-28) 40 (35-48)
Cases/person-years, n 95/4760 81/5893 94/4491
Multivariate model 1 1.00 ref. 0.99 (0.72-1.35) 1.15 (0.85-1.55) 0.34
Multivariate model 2 1.00 ref. 1.18 (0.84-1.66) 1.31 (0.94-1.83) 0.11
Multivariate model 3 1.00 ref. 1.39 (0.97-1.99) 1.38 (0.97-1.97) 0.10
Total fermented dairy intake 39 (22-55) 100 (85-118) 167 (147-213)
Cases/person-years 127/4553 65/4834 78/4454
Multivariate model 1 1.00 ref. 0.51 (0.37-0.69) 0.68 (0.50-0.92) 0.008
Multivariate model 2 1.00 ref. 0.54 (0.38-0.76) 0.63 (0.45-0.87) 0.003
Multivariate model 3 1.00 ref. 0.59 (0.41-0.84) 0.75 (0.52-1.07) 0.049
RESULTSRESEARCH DESIGN AND METHODSCHEESE, FERMENTED DAIRY AND DIABETES
Díaz-López et al, Eur J Nutr 2015