DiabetologiaDOI 10.1007/s00125-009-1516-3
Coffee and tea consumption and risk of type 2 diabetes
S. van Dieren & C. S. P. M. Uiterwaal &Y. T. van der Schouw & D. L. van der A & J. M. A. Boer &A. Spijkerman & D. E. Grobbee & J. W. J. Beulens
Received: 6 May 2009 / Accepted: 7 August 2009
of tea per day (p for trend=0.002). Total daily consumption
Aims/hypothesis The aim of this study was to examine the
of at least three cups of coffee and/or tea reduced the risk of
association of consumption of coffee and tea, separately
type 2 diabetes by approximately 42%. Adjusting for blood
and in total, with risk of type 2 diabetes and which factors
pressure, magnesium, potassium and caffeine did not
Methods This research was conducted as part of the Dutch
Conclusions/interpretation Drinking coffee or tea is asso-
Contribution to the European Prospective Investigation into
ciated with a lowered risk of type 2 diabetes, which cannot
Cancer and Nutrition, which involves a prospective cohort of
be explained by magnesium, potassium, caffeine or blood
40,011 participants with a mean follow-up of 10 years. A
pressure effects. Total consumption of at least three cups of
validated food-frequency questionnaire was used to assess
coffee or tea per day may lower the risk of type 2 diabetes.
coffee and tea consumption and other lifestyle and dietaryfactors. The main outcome was verified incidence of type 2
Keywords Blood pressure . Caffeine . Coffee . Magnesium .
diabetes. Blood pressure, caffeine, magnesium and potassium
Potassium . Prospective study . Tea . Type 2 diabetes
were examined as possible mediating factors. Results During follow-up, 918 incident cases of type 2
diabetes were documented. After adjustment for potential
confounders, coffee and tea consumption were both inverse-
Dutch Contribution to European Prospective
ly associated with type 2 diabetes, with hazard ratios of 0.77
(95% CI 0.63–0.95) for 4.1–6.0 cups of coffee per day (p for
trend=0.033) and 0.63 (95% CI: 0.47–0.86) for >5.0 cups
Monitoring Project on Risk Factors forChronic Diseases
S. van Dieren : C. S. P. M. Uiterwaal : Y. T. van der Schouw :
D. E. Grobbee J. W. J. Beulens (*)Julius Centre for Health Sciences and Primary Care,
University Medical Centre Utrecht,P.O. Box 85500, 3508 GA Utrecht, the Netherlandse-mail: [email protected]
The prevalence of type 2 diabetes mellitus has increaseddramatically in the past decades and is estimated to double
from 171 million people in 2000 to 366 million in 2030
The majority of diabetes cases could be prevented by
National Institute of Public Health and the Environment (RIVM),Bilthoven, the Netherlands
changes in lifestyle and diet [, An inverse relationbetween coffee intake and type 2 diabetes has been reported
by a number of large cohort studies []. The association of
Centre for Prevention and Health Services Research,
tea consumption with the risk of type 2 diabetes and the
National Institute of Public Health and the Environment (RIVM),Bilthoven, the Netherlands
effects of total coffee and tea consumption are not entirely
clear. One study did not find an association between tea
MORGEN cohort consists of men and women aged 20–
intake and type 2 diabetes while another study observed
59 years recruited from three Dutch towns (Amsterdam,
Doetinchem and Maastricht). From 1993 to 1997 each year
The underlying mechanism for the relation between
a new random sample of about 5,000 participants was
coffee and tea consumption and type 2 diabetes is unclear.
examined. These rounds of enrolment add up to 22,654
Several components in coffee and tea have been suggested
individuals. The participation rates were 34.5% for Prospect
as possible causal factors. Magnesium plays a role in
regulating insulin action and is inversely associated with
At baseline, a general questionnaire and a food-frequency
insulin sensitivity and type 2 diabetes []. Potassium intake
questionnaire (FFQ) were mailed to all participants and these
has also been associated with a reduced risk of diabetes [].
were returned at the medical examination. We excluded 246
Caffeine may affect glucose tolerance, although conflicting
participants with missing data on coffee and tea consumption,
results have been reported. It increases energy expenditure
615 participants with diabetes at baseline and 974 individuals
and thermogenesis, which can stimulate insulin sensitivity
without consent for linkage to disease registries, leaving
but short-term intervention studies reported a decreased
38,176 participants for this analysis.
insulin sensitivity after caffeine intake , Finally, at
All participants gave written informed consent prior to
least two studies found an inverse relation between coffee
study inclusion. Both cohorts comply with the Declaration
consumption and occurrence of hypertension , and
of Helsinki. Prospect was approved by the Institutional
previous studies showed that elevated blood pressure
Review Board of the University Medical Centre Utrecht
predates type 2 diabetes and is independently associated
and MORGEN was approved by the Medical Ethics
with risk of type 2 diabetes , ]. This could be
Committee of the Netherlands Organization for Applied
explained by the inverse relation between high blood
pressure and the ability of insulin to stimulate skeletalblood flow, which causes insulin resistance ]. So far
General assessments The general questionnaires contained
there is no conclusive evidence about whether these factors
questions on demographic characteristics and risk factors
explain the inverse relation between coffee and tea intake
for the presence of chronic diseases. Although the general
questionnaires for the cohorts were not identical, similar
Therefore, we investigated the associations of coffee and
questions were asked with slightly different answer cate-
tea consumption with risk of type 2 diabetes, and whether
gories. Coding of this information was standardised and
these relations are mediated by blood pressure and intake of
merged into one uniform database. Body weight, height and
potassium, magnesium and caffeine, in the Dutch Contri-
waist and hip circumferences were measured. Blood
bution to European Prospective Investigation into Cancer
pressure was measured twice on the left arm while the
and Nutrition (EPIC-NL), involving a prospective cohort of
participants were in a supine position. The mean of the two
40,011 Dutch men and women. This research is an
blood pressure measurements was used in the analysis. In
extension of an earlier investigation in which the associa-
the Prospect study, the systolic and diastolic blood
tion of coffee consumption and risk of type 2 diabetes was
pressures were measured using a Boso Oscillomat (Bosch
investigated. The current study was not only focused on
& Sohn, Jungingen, Germany), while a random zero
coffee consumption, but the association of tea consumption
sphygmomanometer (Hawksley & Sons, Lancing, UK)
and total consumption of coffee and tea with risk of type 2
was used in the MORGEN cohort. The comparability of
diabetes was assessed. In addition, this study has six
these different measurement procedures has been described
additional years of follow-up from 40,011 participants,
in more detail by Schulze et al. ]. The assessment of the
compared with 17,000 participants, and it was based on
Prospect cohort slightly overestimated the blood pressure
In both cohorts daily food intake was assessed using the
same validated FFQ, which included questions on the usual
frequency of consumption of 77 main food groups duringthe year preceding enrolment. Overall, the questionnaire
Study population and design The EPIC-NL cohort com-
allows estimation of the average daily consumption of 178
prises the Monitoring Project on Risk Factors for Chronic
foods. The FFQ was validated against 12 months of 24 h
Diseases (MORGEN) and Prospect cohorts [The
recalls in 121 participants before the start of the study [
methods used are described in more detail elsewhere ].
]. Hypertension was defined as present based on several
In brief, Prospect is a prospective population-based cohort
aspects: a physician-diagnosed self-report or measured
study of 17,357 women aged 49–70 years who participated
hypertension >140 mmHg systolic or >90 mmHg diastolic
in breast cancer screening between 1993 and 1997. The
or the use of blood-pressure-lowering medication. Postal
follow-up questionnaires were sent every 3–5 years to all
if so, additional questions were asked about the year of
participants in order to detect changes in health status.
diagnosis and treatment. The incidence of type 2 diabetes
To investigate if coffee and tea consumption are also
was assessed by self-report in follow-up questionnaires.
associated with biomarkers of type 2 diabetes, several
With the first follow-up questionnaire, participants received
biomarkers were measured in a 6.5% random sample (n=
a urinary glucose strip test and were asked whether the
2,604) and in incident cases of type 2 diabetes. HbA1c was
urine strip had turned purple after 10 s, indicating
measured in erythrocytes using an immunoturbidimetric
glucosuria. Also, data on the diagnosis of type 2 diabetes
latex test. Alanine aminotransferase, aspartate aminotrans-
were obtained from the Dutch Centre for Health Care
ferase, gamma-glutamyltransferase, total cholesterol and
Information, which holds a standardised computerised
triacylglycerol were measured using enzymatic methods,
register of hospital discharge diagnoses (all diagnoses were
while high-sensitive C-reactive protein was measured with
coded according to the International Classification of
a turbidimetric method. HDL-cholesterol and LDL-
Diseases, ninth revision [ICD-9, ICD codes 250]) [
cholesterol were measured using homogeneous assays with
The records from this database were linked to the EPIC-NL
cohort with a validated probabilistic method ]. Type 2diabetes was defined as potentially present when self-report,
Assessment of beverages The FFQ was used to assess the
urinary glucose strip test or hospital discharge diagnoses
amount of coffee and tea consumed daily. Participants were
reported a positive response. All potential cases of type 2
asked how many cups of coffee and tea on average they
diabetes were verified against medical records of the general
consumed per day/per week/per month/per year. Further-
practitioners and pharmacists. They were asked if diabetes
more, participants were asked how often they consumed
was diagnosed and, if so, in what year and which type. Only
decaffeinated coffee with the following categories: always/
cases of type 2 diabetes that were verified were included as
mostly (90%); often (65%); sometimes (35%); and seldom/
cases (88.6% of the potential incident cases were verified).
never (10%). These percentages were multiplied by total
Information on vital status was obtained through linkage
amount of coffee to determine how many cups of
with the municipal administration registries.
decaffeinated coffee participants drank on average. Partic-ipants were also asked how many non-alcoholic drinks they
Statistical analysis Follow-up time was calculated from the
consumed and what percentage of these were caffeinated
date of enrolment to the date of diabetes diagnosis or date
soft drinks with identical answer categories. These percen-
of death; all other participants were censored at the end of
tages were multiplied by total amount of non-alcoholic
follow up (January 2006). Baseline characteristics accord-
drinks to obtain the number of glasses of caffeinated soft
ing to category of daily coffee and tea consumption were
drinks. Total fluid intake was calculated by adding up total
evaluated using ANOVA for continuous variables and χ2
intake of juices, water, milk and carbonated drinks, and
excluding coffee and tea intake. We used data from the
To examine the association between coffee and tea
validation study ] to estimate the reliability of the
consumption and incidence of type 2 diabetes we used Cox
assessment of coffee and tea consumption. We observed a
proportional hazard regression. Hazard ratios and 95%
Spearman correlation coefficient of 0.74 for coffee consump-
confidence intervals for type 2 diabetes were calculated for
tion and 0.87 for tea consumption between the FFQ and 12
each category of coffee or tea intake against a reference
24 h recalls. The coffee consumption was divided into six
group of low consumers (for coffee) or non-consumers (for
categories: 0–1.0 cups (reference group); 1.1–2.0 cups; 2.1–
tea), corrected for age (continuous), sex (male or female)
3.0 cups; 3.1–4.0 cups; 4.1–6.0 cups; and >6.0 cups per day.
and cohort (Prospect or MORGEN). A second multivariate
Because of a different distribution of tea consumption, tea
model corrected for other known risk factors included
consumption was divided into five groups: 0–1.0 cups
smoking (present, former or never smokers), BMI (<20.0,
(reference group); 1.1–2.0 cups; 2.1–3.0 cups; 3.1–5.0 cups;
20.0–24.9, 25.0–29.9 or ≥30.0 kg/m²), highest education
and >5.0 cups per day. Finally, the number of cups of coffee
level (low, intermediate or high), physical activity (inactive,
and tea reported by an individual was added up and divided into
moderately inactive, moderately active or active), family
five categories: 0–1.0 cups (reference group); 1.1–3.0 cups;
history of diabetes (present or not present), alcohol intake
3.1–5.0 cups; 5.1–7.0 cups; and >7.0 cups of coffee and tea
(continuous), daily energy intake (continuous), energy-
adjusted saturated fat intake (continuous), energy-adjustedintake of fibre and vitamin C (both continuous), hyperten-
Assessment of type 2 diabetes The assessment of type 2
sion and hypercholesterolaemia (present or not). A third
diabetes has been described in more detail elsewhere ].
model corrected for tea consumption (for coffee hazard
The general questionnaire contained questions of whether
ratios) and coffee consumption (for tea hazard ratios),
or not a participant had been diagnosed with diabetes and,
because participants who drank a lot of coffee tended to
drink less tea and vice versa and both beverages have been
likelihood ratio test. Furthermore, the association between
associated with the development of type 2 diabetes.
several biomarkers for type 2 diabetes and coffee and tea
Furthermore, we repeated the analysis with only four
consumption has been examined by conducting a linear
categories of coffee and tea to see if the observed
regression analysis corrected for the same variables as used
associations changed significantly. Also, hazard ratios were
calculated for total consumption of coffee and tea, using the
The Cox proportional hazards assumption was examined
multivariate adjusted model. Because results may be
by visually inspecting log–log plots with no deviations
confounded by total fluid intake, this was checked by
detected. p values<0.05 from two-tailed analyses were
including it in the model with total coffee and tea
considered statistically significant. All statistical analyses
consumption. Total fluid intake consisted of total intake of
were performed using SPSS for Windows version 14.0
juices, water, milk and carbonated soft drinks. To test for a
linear trend, we calculated the median for each category ofcoffee and tea consumption and included this as acontinuous variable in the model. The square of this termwas used to test for a quadratic trend.
Mediating factors were included in the multivariate
model to assess the differences in hazard ratio of the linear
As coffee consumption increased, so did BMI, alcohol
term. The mediating factors examined were systolic and
consumption, energy intake and prevalence of smoking, but
diastolic blood pressure and daily intake of magnesium,
tea consumption decreased (Table Increasing tea consump-
potassium and caffeine (both unadjusted and energy
tion was associated with a reduction in alcohol consumption,
adjusted), all as continuous variables. To further examine
BMI, energy intake and physical activity (Table
the effects of caffeine, hazard ratios with 95% confidence
During a mean follow-up of 10 years, 918 incident cases
intervals were calculated for decaffeinated coffee and
of type 2 diabetes were documented. A U-shaped associ-
caffeinated soft drinks. Interactions of coffee or tea
ation between coffee consumption and risk of type 2
consumption with sex, age, BMI, caffeine and smoking
diabetes was observed (Table ). Adjusting for tea
were explored by including the interaction term of any of
consumption lowered the hazard ratios, with the lowest
these combinations in the multivariate model using a
hazard ratio for 4.1–6.0 cups of coffee/day (0.74 [95% CI
Table 1 Baseline characteristics by daily coffee and tea consumption in 38,176 participants
a Energy-adjusted* All p values are <0.05 for the comparison between coffee consumption categories
Table 2 Baseline characteristics by daily tea consumption in 38,176 participants
a Energy-adjusted* All p values are <0.05 for the comparison between tea consumption categories
0.61–0.91], ptrend=0.019). A strong inverse association was
or between caffeinated soft drinks and risk of type 2 diabetes
observed between tea consumption and risk of type 2
(1.64 [0.60–4.49] for drinking >3.0 glasses of caffeinated soft
diabetes (Table ). After multivariate adjustments and
drink/day). Excluding hypertensive patients resulted in similar
adjusting for coffee consumption the lowest hazard ratio
hazard ratios for tea consumption and even stronger associa-
was 0.68 (95% CI 0.52–0.89) for >5.0 cups of tea/day
tions for coffee consumption (HR coffee 0.62 [95% CI 0.46–
(ptrend=0.01). Substituting waist circumference for BMI did
0.83], HR tea 0.70 [95% CI 0.48–1.02]). Stronger associations
not alter the results (HR coffee 0.74 [95% CI 0.61–0.91]).
were also observed when patients with hyperlipidaemia,
There were 8,819 people who drank >1.0 cup of decaf-
hypertension and prevalent cases of CVD were excluded
feinated coffee/day and 228 participants in this group
(HR coffee 0.55 [95% CI 0.40–0.77], HR tea 0.60 [95% CI
developed type 2 diabetes. We found no association between
0.39–0.92]). Similar associations occurred when coffee and tea
decaffeinated coffee intake and risk of type 2 diabetes (1.13
consumption were both divided into four categories (HR 0.75
[95% CI 0.76–1.67] for >1.0 cup of decaffeinated coffee/day)
[95% CI 0.61–0.92] for >5.0 cups of coffee).
Table 3 Daily coffee consumption and hazard ratios (95% CI) for the risk of type 2 diabetes among 38,176 Dutch men and women
1.00 0.85 (0.67–1.07) 0.96 (0.77–1.19) 0.73 (0.59–0.90) 0.78 (0.64–0.94)
1.00 0.89 (0.70–1.12) 0.98 (0.79–1.22) 0.77 (0.62–0.95) 0.80 (0.65–0.97)
1.00 0.88 (0.69–1.11) 0.94 (0.75–1.17) 0.75 (0.60–0.92) 0.74 (0.61–0.910) 0.84 (0.65–1.08) 0.019
a Adjusted for cohort, sex, age, BMI, highest education, physical activity, family history of diabetes, smoking, alcohol intake, energy intake,energy-adjusted saturated fat intake, energy-adjusted fibre intake, energy-adjusted vitamin C intake, hypercholesterolaemia and hypertension
Table 4 Daily tea consumption and hazard ratios (95% CI) for the risk of type 2 diabetes among 38,176 Dutch men and women
a Adjusted for cohort, sex, age, BMI, highest education, physical activity, family history of diabetes, smoking, alcohol intake, energy intake,energy-adjusted saturated fat
Using the data on total amount of coffee and tea consumed
(HR 0.64 [95% CI 0.46–0.89]) and lowered the hazard ratio
resulted in a stronger inverse association with the risk of type 2
for coffee further (HR 0.72 [95% CI 0.57–0.90]).
diabetes (Fig. Consumption of at least three cups of coffee
Adjusting for several mediating factors did not alter the
and/or tea per day was associated with a reduced risk of type
results. The hazard ratios for 4.1–6.0 cups of coffee were
2 diabetes of approximately 42% (HR 0.58 [95% CI 0.42–
similar after adjusting for diastolic and systolic blood
0.80], ptrend <0.001). Drinking more than three cups of
pressure (0.76 [95% CI 0.62–0.94]), for magnesium and
coffee and/or tea did not substantially lower the hazard ratio
potassium (0.75 [95% CI 0.62–0.93]) and for caffeine (0.73
any further. The relative amount of coffee vs tea did not
[95% CI 0.50–1.07]). The hazard ratio for >6.0 cups of tea
affect the associations for total consumption.
was 0.64 (95% CI 0.47–0.86) after adjusting for diastolic
Similar associations were observed when we adjusted for
blood pressure and potassium, 0.63 (95% CI 0.47–0.86)
total fluid consumption, the hazard ratio for type 2 diabetes
after adjusting for systolic blood pressure and magnesium,
was 0.53 (95% CI 0.39–0.73) for consumption of >7.0 cups
and for caffeine 0.61 (95% CI 0.42–0.90). No significant
of coffee and tea/day (ptrend <0.001). Excluding cases
interactions of coffee or tea consumption with sex, age,
obtained in the first 4 years, to prevent reverse causation,
BMI and smoking were observed. We observed no
did not significantly alter the observed associations for tea
significant association between coffee or tea consumptionand any of the examined biomarkers.
In this cohort of 38,176 men and women, both coffee and
tea consumption were associated with a lowered risk oftype 2 diabetes. Consumption of at least three cups of
coffee and/or tea was associated with a lowered risk of type
2 diabetes. Blood pressure and intake of magnesium,potassium and caffeine did not explain these associations.
The strengths of this study are its large sample size,
prospective design, validation of diabetes cases and
extensive information about lifestyle and diet of the
participants, but some limitations need to be addressed.
First, we relied on self-reported coffee and tea consumption
and therefore misclassification may have occurred. How-ever, we validated the assessment of coffee and tea
Fig. 1 Hazard ratios (95% CI) for the risk of type 2 diabetes by dailytotal consumption of coffee and tea among 38,176 Dutch men and
consumption, showing correlations over 0.75. A second
women. Adjusted for cohort, sex, age, BMI, highest education,
limitation of our study is the assessment of decaffeinated
physical activity, family history of diabetes, smoking, alcohol intake,
coffee. Participants could only indicate in categories how
energy intake, energy-adjusted saturated fat intake, energy-adjusted
much decaffeinated coffee they consumed. Therefore, we
fibre intake, energy-adjusted vitamin C intake, hypercholesterolaemiaand hypertension
could not accurately assess the effect of decaffeinated
coffee. Similarly, no specific information on green tea
We observed an inverse association between tea con-
consumption was available. However, only 4.6% of the total
sumption and type 2 diabetes over the entire range, even
amount of tea consumed in the Netherlands is green tea ].
though the hazard ratio for two to three cups/day was
Second, the presence of type 2 diabetes is often undetected,
slightly higher. Although we could not differentiate
and may remain preclinical for up to 9–12 years []. Patients
between black and green tea, an estimated 95% of the total
with undetected type 2 diabetes in our cohort may have been
tea consumption is black tea in the Netherlands [
misclassified as people without diabetes, resulting in attenu-
Recently, a study reported that both black and green tea
ation of associations. As a sensitivity analysis we excluded
lower blood glucose concentrations [Combined with
prevalent cases of cardiovascular disease, hypertension or
our results, it seems likely that the association between tea
hyperlipidaemia, which resulted in slightly stronger estimates.
consumption and type 2 diabetes is not solely due to
Third, participants may have changed their coffee and
tea consumption over the years because of their health.
Moreover, consumption of at least three cups of coffee
Excluding cases obtained in the first 4 years did not alter
and/or tea was associated with a lowered risk of type 2
diabetes. A similar inverse relation for combined consump-
Last, coffee and tea drinkers have very different—almost
tion of coffee and tea has been observed in the Whitehall II
opposite—health behaviour. Coffee drinkers tend to smoke
study []. Unfortunately, these analyses were limited by
more and have a less healthy diet, while tea consumption is
small sample size (n=2,300), and coffee and tea consump-
associated with a healthier lifestyle. Such confounding
tion was divided into only two categories, therefore no
could attenuate the observed relation, particularly for tea
effect of consuming a greater amount of coffee and tea
consumption, while it could partly explain the increased
risks in the higher-intake categories for coffee consumption.
Blood pressure and intake of magnesium, potassium and
Although we have adjusted for several lifestyle and dietary
caffeine were included in our model to assess whether these
factors, we cannot exclude residual confounding.
factors mediated the observed association, but none affected
The observed reduction in risk of type 2 diabetes with
the associations substantially. One study observed a
higher coffee consumption is in line with previous studies
borderline inverse association between magnesium intake
–although our study did not indicate a strong
and risk of type 2 diabetes. However, magnesium did not
dose-response relation. In our study population, high coffee
explain the relation between coffee and type 2 diabetes in
consumption was strongly related to low tea consumption.
our study, similar to other studies , ]. In our study
Associations unadjusted for tea consumption could there-
up to three cups of coffee was associated with higher blood
fore be confounded by lower consumption of tea in the
pressure, but more than four cups of coffee was associated
high-intake groups, leading to higher risks. These results
with a lowered blood pressure. However, the inclusion of
could then reflect the effect of lower tea consumption
blood pressure in the model did not explain the association
instead of higher coffee consumption. Most studies on
between coffee or tea consumption and type 2 diabetes.
coffee consumption did not account for tea consumption
Caffeine intake only slightly attenuated the relation be-
–However, this cannot solely explain the increased
tween coffee consumption and type 2 diabetes, but the
risks in the higher categories of coffee consumption.
correlation between coffee and caffeine was 0.86, making it
Another explanation could be residual confounding by
difficult to distinguish the effects of coffee and caffeine.
unhealthy lifestyles in the categories of higher coffee
Furthermore, no association between several biomarkers
consumption. In addition, it could be explained by higher
and coffee and tea consumption has been observed.
intake of ingredients associated with increased risks of type
These results suggest that other factors may be more
2 diabetes, such as kahweol and cafestol [
important to explain the relation of coffee and tea
Several studies have investigated the associations between
consumption with type 2 diabetes. The effect of total coffee
tea consumption and type 2 diabetes. Some of these studies did
and tea consumption could indicate that the beneficial effect
not find any associations [, , ], while one study
of coffee and tea consumption is due to their antioxidant
observed an inverse relation for both coffee and black tea
content. Coffee is rich in the antioxidant chlorogenic acid
consumption and type 2 diabetes but not for green tea [].
and tea contains flavonols and flavones as antioxidants [
Another study found an association only for green tea, not
]. Antioxidants may reduce the amount of reactive
for black or oolong tea [A recent meta-analysis
oxygen species, which activate stress-sensitive pathways.
summarised these studies and concluded that consumption
These pathways can lead to insulin resistance, impaired
of at least four cups of tea may lower the risk of type 2
insulin secretion and beta cell dysfunction [
diabetes, but a reduced risk was not observed for one to three
This relation is still controversial, as studies examining
cups of tea per day In addition, they were unable to
dietary and serum antioxidants with type 2 diabetes show
distinguish between black and green tea in this meta-analysis.
inconsistent results ranging from no relation to an inverse
relation for certain antioxidants , ]. A recent randomised
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This study was funded by an unrestricted grant
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Team leader name: P. Vicendo Laboratory/ Service: IMRCP Title of the team: Colloids and Nanomedicine Project (CNP) Research staff: Permanent staff: Fitremann J (CR CNRS); Gauffre F (CR CNRS) ; Gineste S (IE CNRS) ; Lauth de Viguerie N (Pr.) ; Lonetti B (CR CNRS); Marty J-D (MdC); Mingotaud C (DR CNRS); Mingotaud A-F (CR CNRS); Souchard J-P (Pr.); Vicendo P. (CR CNRS) Non perman
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