SlideShare ist ein Scribd-Unternehmen logo
1 von 6
Downloaden Sie, um offline zu lesen
Coffee, Caffeine, and Risk of Type 2
Diabetes
A prospective cohort study in younger and middle-aged U.S. women
ROB M. VAN DAM, PHD
1,2
WALTER C. WILLETT, MD
1,3,4
JOANN E. MANSON, MD
3,4,5
FRANK B. HU, MD
1,3,4
OBJECTIVE — High habitual coffee consumption has been associated with a lower risk of
type 2 diabetes, but data on lower levels of consumption and on different types of coffee are
sparse.
RESEARCH DESIGN AND METHODS — This is a prospective cohort study including
88,259 U.S. women of the Nurses’ Health Study II aged 26–46 years without history of diabetes
at baseline. Consumption of coffee and other caffeine-containing foods and drinks was assessed
in 1991, 1995, and 1999. We documented 1,263 incident cases of confirmed type 2 diabetes
between 1991 and 2001.
RESULTS — After adjustment for potential confounders, the relative risk of type 2 diabetes
was 0.87 (95% CI 0.73–1.03) for one cup per day, 0.58 (0.49–0.68) for two to three cups per
day, and 0.53 (0.41–0.68) for four or more cups per day compared with nondrinkers (P for trend
Ͻ0.0001). Associations were similar for caffeinated (0.87 [0.83–0.91] for a one-cup increment
per day) and decaffeinated (0.81 [0.73–0.90]) coffee and for filtered (0.86 [0.82–0.90]) and
instant (0.83 [0.74–0.93]) coffee. Tea consumption was not substantially associated with risk of
type 2 diabetes (0.88 [0.64–1.23] for four or more versus no cups per day; P for trend ϭ 0.81).
CONCLUSIONS — These results suggest that moderate consumption of both caffeinated
and decaffeinated coffee may lower risk of type 2 diabetes in younger and middle-aged women.
Coffee constituents other than caffeine may affect the development of type 2 diabetes.
Diabetes Care 29:398–403, 2006
H
igh coffee consumption has been
associated with better glucose toler-
ance and a substantially lower risk
of type 2 diabetes in diverse populations
in Europe, the U.S., and Japan (1–3).
However, it remains unclear what coffee
components may be responsible for the
apparent beneficial effect of coffee on glu-
cose metabolism. In rats, intakes of the
coffee components chlorogenic acid
(4,5), quinic acid (6), trigonelline (7), and
the lignan secoisolariciresinol (8) im-
proved glucose metabolism. Short-term
metabolic studies in humans have shown
that caffeine can acutely lower insulin
sensitivity (9–11). However, the long-
term effects of caffeine intake on glucose
metabolism are unknown, and beneficial
effects on insulin sensitivity through in-
creased expression of uncoupling pro-
teins have also been suggested (12).
In most of the populations in which
the relation between coffee consumption
and type 2 diabetes has been studied,
drip-filtered caffeinated coffee was the
predominant type of coffee consumed
(1). Data on decaffeinated coffee and var-
ious methods of coffee preparation in re-
lation to risk of type 2 diabetes are sparse
(3,13,14). In addition, in previous studies
consumption of five or more cups of cof-
fee per day was consistently associated
with a lower risk of type 2 diabetes, but
results for lower levels of consumption
have been mixed (1). We therefore exam-
ined the consumption of different types of
coffee and the intake of caffeine in relation
to risk of type 2 diabetes in a large cohort
of younger and middle-aged U.S. women.
RESEARCH DESIGN AND
METHODS — We used data from the
prospective Nurses’ Health Study II. This
cohort included 116,671 female U.S.
nurses at study initiation in 1989. Infor-
mation has been collected using biennial-
mailed questionnaires, and response rates
have been ϳ90% for each questionnaire.
For the current analysis, follow-up began
at the return of the 1991 questionnaire
because diet was first assessed in that
year. Participants were aged 26–46 years
at the start of follow-up. We excluded
women if they did not complete a dietary
questionnaire in 1991; if Ͼ70 items were
left blank or if the reported total energy
intake was implausible (Ͻ500 kcal/day or
Ͼ3,500 kcal/day); if they had a history of
diabetes (including gestational diabetes),
cancer (except nonmelanoma skin can-
cer), or cardiovascular disease at baseline;
or if they had not provided data on phys-
ical activity in 1991. A total of 88,259
women remained for the current analysis.
The study was approved by the human
research committees at the Harvard
School of Public Health and Brigham and
Women’s Hospital.
Assessment of coffee consumption
Validated dietary questionnaires were
sent to the Nurses’ Health Study partici-
pants in 1991, 1995, and 1999. Partici-
pants were asked how often on average
during the previous year they had con-
sumed caffeinated and decaffeinated cof-
fee (“one cup”), tea (“one cup or glass”),
different types of caffeinated soft drinks
(“one glass, bottle, or can”), and chocolate
products (e.g., “bar or packet”). The par-
ticipants could choose from nine re-
● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●
From the 1
Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts; the 2
Depart-
ment of Nutrition and Health, Faculty of Earth and Life Sciences, Vrije Universiteit of Amsterdam, Amster-
dam, the Netherlands; the 3
Department of Epidemiology, Harvard School of Public Health, Boston
Massachusetts; the 4
Channing Laboratory, Harvard Medical School and Brigham and Women’s Hospital,
Boston, Massachusetts; and the 5
Division of Preventive Medicine, Harvard Medical School and Brigham and
Women’s Hospital, Boston, Massachusetts.
Address correspondence to Rob M. van Dam, Department of Nutrition, Harvard School of Public Health,
665 Huntington Ave., Boston, MA 02115. E-mail: rvandam@hsph.harvard.edu.
Received for publication 12 August 2005 and accepted in revised form 30 October 2005.
A table elsewhere in this issue shows conventional and Syste`me International (SI) units and conversion
factors for many substances.
© 2006 by the American Diabetes Association.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby
marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
C a r d i o v a s c u l a r a n d M e t a b o l i c R i s k
O R I G I N A L A R T I C L E
398 DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006
sponses (never or less than one per
month, one to three per month, one per
week, two to four per week, five to six per
week, one per day, two to three per day,
four to five per day, and six or more per
day). In 1991, we also asked about the
usual method of preparing coffee with the
answer categories “mainly filtered,”
“mainly instant,” “mainly espresso or per-
culator,” and “no usual method/don’t
know/don’t use.” We assessed the total in-
take of caffeine by summing the caffeine
content for a specific amount multiplied
by a weight proportional to the frequency
of its use. Using U.S. Department of Agri-
culture food composition data supple-
mented with other sources, we estimated
that the caffeine content was 137 mg per
cup of coffee, 47 mg per cup of tea, 46 mg
per bottle or can of cola beverage, and 7
mg per serving of chocolate candy. In a
validation study in the original Nurses’
Health Study, we found high correlations
between intake of coffee and other caf-
feinated beverages assessed with food fre-
quency questionnaire and with four
1-week diet records (coffee, r ϭ 0.78; tea,
r ϭ 0.93; and caffeinated sodas, r ϭ 0.85)
(15).
Assessment of type 2 diabetes
Women who reported a diagnosis of
diabetes on a biennial follow-up ques-
tionnaire were sent a supplementary
questionnaire asking about diagnosis and
treatment of diabetes and history of keto-
acidosis to confirm the self-report and to
distinguish between type 1, type 2, and
gestational diabetes. In accordance with
the criteria of the National Diabetes Data
Group (16), confirmation of diabetes re-
quired at least one of the following for
cases that were diagnosed through 1997:
1) an elevated glucose concentration (fast-
ing plasma glucose Ն7.8 mmol/l [140
mg/dl], random plasma glucose Ն11.1
mmol/l [200 mg/dl], and/or plasma glu-
cose Ն2 h after an oral glucose load
Ն11.1 mmol/l) plus at least one classic
symptom (excessive thirst, polyuria,
weight loss, or hunger), 2) no symptoms
but elevated plasma glucose concentra-
tions as described above on at least two
different occasions, or 3) treatment with
insulin or oral hypoglycemic medication.
For cases that were diagnosed after 1998,
we changed the cutoff for fasting plasma
glucose concentrations to 7.0 mmol/l
[126 mg/dl] in accordance with the 1997
American Diabetes Association criteria
(17). In a validation study in the original
Nurses’ Health Study, 98% of the cases
ascertained by the same supplementary
questionnaire were confirmed by medical
record review (18).
Assessment of medical history,
anthropometry, and lifestyle
On the baseline questionnaires, we re-
quested information about age; weight
and height; smoking status; physical ac-
tivity; history of diabetes in first-degree
relatives; use of postmenopausal hor-
mone therapy; use of oral contraceptives;
and personal history of diabetes, cardio-
vascular diseases, and cancers. This infor-
mation has been updated every 2 years,
with the exception of physical activity
(only updated in 1997) and height and
family history. BMI was calculated as
weight in kilograms divided by the square
of height in meters, and physical activity
was assessed in metabolic equivalents per
week. Validation studies for the assess-
ment of body weight and physical activity
have been previously reported (19,20).
Statistical analyses
Person-years of exposure were calculated
from the date of return of the baseline
questionnaire to the date of diagnosis of
type 2 diabetes, death, or 1 July 2001,
whichever came first. Cox proportional
hazards regression models stratified by
5-year age categories and 2-year time pe-
riods were used to examine the associa-
tion between coffee consumption and risk
of type 2 diabetes. To reduce within-
subject variation and to best represent
long-term exposure, we used the cumula-
tive average of coffee consumption and
other dietary variables from all available
dietary questionnaires up to the start of
each 2-year follow-up interval (21). We
stopped updating diet at the beginning of
the time interval during which individu-
als developed cancer (except nonmela-
noma skin cancer), cardiovascular diseases,
or gestational diabetes because changes in
diet after development of these conditions
may confound the relationship between
diet and diabetes (21). Nondietary covari-
ates were also updated during follow-up
using the most recent data for each 2-year
interval. To test for linear trends across
categories, we modeled the median of
each category of coffee consumption as a
continuous variable. For analyses that ex-
amined the association between coffee
consumption and risk of type 2 diabetes
for women who used a certain method of
preparing coffee, we excluded coffee con-
sumers who used other methods or did
not report what method they used. All
reported P values were two tailed, and P
values Ͻ0.05 were considered statisti-
cally significant. All analyses were per-
formed using SAS software, version 8.2
(SAS Institute, Cary, NC).
RESULTS — During 866,118 person-
years of follow-up, we documented 1,263
cases of type 2 diabetes. Characteristics of
the study population according to con-
sumption of caffeinated and decaffeinated
coffee and caffeine intake are presented in
Table 1. Higher caffeinated coffee con-
sumption, but not decaffeinated coffee
consumption, was strongly associated
with cigarette smoking and higher alco-
hol consumption. Both higher caffeinated
and higher decaffeinated coffee consump-
tion were associated with older age and
lower consumption of sugar-sweetened
soft drinks and tea. Women who did not
consume caffeinated or decaffeinated cof-
fee tended to have a higher BMI compared
with women who did consume either
type of coffee. Pearson correlations with
caffeine intake were 0.83 for total coffee,
0.94 for caffeinated coffee, Ϫ0.05 for de-
caffeinated coffee, and 0.09 for tea con-
sumption.
Higher coffee consumption was asso-
ciated with a lower risk of type 2 diabetes
(Table 2). Adjustment for potential con-
founders weakened this association,
mainly due to adjustment for BMI and al-
cohol consumption. After multivariate
adjustment, the relative risk (RR) of type 2
diabetes was 0.87 (95% CI 0.73–1.03) for
one cup per day, 0.58 (0.49–0.68) for
2–3 cups per day, and 0.53 (0.41–0.68)
for four or more cups per day. Additional
adjustment for magnesium, high- and
low-fat dairy consumption, tea consump-
tion, or sucrose intake; adjustment for
BMI as a continuous variable; use of base-
line coffee consumption instead of cumu-
lative updated coffee consumption; use of
baseline coffee consumption with exclu-
sion of the first 4 years of follow-up; and
exclusion of women who developed ges-
tational diabetes during follow-up did not
substantially change the association be-
tween coffee consumption and risk of
type 2 diabetes (RR for four or more cups
per day versus no cups per day ranged
from 0.51 to 0.60; all P values Ͻ0.0001).
Both higher caffeinated coffee and higher
decaffeinated coffee consumption were
associated with a lower risk of type 2 di-
abetes (Table 2). Tea consumption was
not substantially associated with risk of
type 2 diabetes after adjustment for po-
tential confounders (0.88 [0.64–1.23] for
van Dam and Associates
DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006 399
four or more versus no cups per day; P for
trend ϭ 0.81).
Higher caffeine intake was associated
with a lower risk of type 2 diabetes (Table
2). Because coffee and caffeine intake
were correlated, we attempted to identify
their possible independent effects by ex-
amination of cross-categories of coffee
and caffeine intake in relation to risk of
type 2 diabetes. Higher total coffee con-
sumption was associated with a lower risk
of type 2 diabetes in each category of caf-
feine intake. In contrast, higher caffeine
intake was not substantially associated
with risk of type 2 diabetes within catego-
ries of total coffee consumption (Table 3).
We also included total coffee consump-
tion and caffeine intake simultaneously in
the multivariate model as continuous
variables. The association between total
coffee consumption and risk of type 2 di-
abetes remained similar: the RR for a one-
cup increment in consumption was 0.86
(95% CI 0.82–0.89) after multivariate ad-
justment and 0.84 (0.79–0.91) after fur-
ther adjustment for caffeine intake. In
contrast, the association between caffeine
intake and risk of type 2 diabetes disap-
peared after adjustment for coffee con-
sumption (1.01 [0.96–1.07] for a 100 mg
per day higher intake). Consistent with
this observation, the strength of the in-
verse association with risk of type 2 dia-
betes was similar for decaffeinated
(multivariate RR 0.81 [95% CI 0.73–
0.90]) and caffeinated coffee consump-
tion (0.87 [0.83–0.91]) when expressed
for a one-cup increment in consumption
per day and simultaneously included in
the multivariate model.
We also examined whether the used
method of preparing coffee affected the
association between coffee consumption
and risk of type 2 diabetes. The multivar-
iate RR of type 2 diabetes associated with
a one-cup increment in coffee consump-
tion per day was similar for filtered coffee
(RR 0.86 [95% CI 0.82–0.90]) and in-
stant coffee (0.83 [0.74–0.93]). In con-
trast, consumption of espresso/perculator
coffee was not substantially associated
with a lower risk of type 2 diabetes (0.97
[0.85–1.10]), but the number of women
who regularly consumed espresso/
perculator coffee was relatively low (num-
ber of diabetes cases for consumption of
two or more cups per day: 254 for filtered
coffee, 27 for instant coffee, and 18 for
perculator/espresso coffee).
CONCLUSIONS — In this study of
U.S. women aged 26–46 years at base-
line, consumption of two or more cups of
coffee per day was associated with a sub-
stantially lower risk of type 2 diabetes
during 10 years of follow-up. This associ-
ation was similar for caffeinated and de-
caffeinated coffee and for filtered and
instant coffee. The inverse association be-
tween coffee consumption and risk of
type 2 diabetes was independent of caf-
feine intake.
The prospective design and high rate
of follow-up in this study minimizes the
possibility of recall bias or bias due to loss
Table 1—Baseline characteristics of the study population by level of caffeinated and decaffeinated coffee consumption
Caffeinated coffee Decaffeinated coffee
No cups
per day
Less than
one cup
per day
One cup
per day
Two to
three cups
per day
Four or
more cups
per day
No cups
day
Less than
one cup
per day
One cup
per day
Two or
more cups
per day
Median 0 0.40 1.1 2.5 4.5 0 0.14 1.0 2.5
n (participants) 33,375 14,020 11,292 21,672 7,900 56,728 19,605 5,999 5,927
Age (years) 35.6 35.4 36.2 36.8 37.6 35.8 36.2 37.1 38.2
BMI (kg/m2
) 24.9 24.6 24.2 24.1 24.6 24.8 24.1 24.0 24.2
Physical activity (MET h/week) 20.3 20.6 22.0 21.8 21.4 20.6 21.2 22.2 22.3
Current smoker (%) 6.7 7.7 10.0 16.9 35.6 13.7 9.0 8.7 13.3
Family history of diabetes (%) 16.1 15.6 15.4 15.7 17.6 16.3 15.0 15.7 15.7
Hypertension (%) 3.6 3.6 3.1 2.6 2.5 3.4 2.8 3.1 2.5
Hypercholesterolemia (%) 9.6 9.3 8.9 8.6 9.7 9.3 9.1 9.3 8.6
Ever hormone replacement therapy (%) 7.3 6.9 7.1 6.5 6.9 7.1 6.6 6.9 7.0
Current oral contraceptive use (%) 10.7 12.1 12.1 10.6 8.2 11.7 9.7 8.2 7.8
Dietary intake
Total energy (kcal/day) 1,777 1,781 1,787 1,788 1,832 1,768 1,822 1,819 1,829
Alcohol consumption (g/day) 1.8 2.8 3.5 4.7 4.6 3.0 3.4 3.0 3.6
P:S ratio 0.52 0.53 0.53 0.52 0.51 0.52 0.53 0.54 0.53
Cereal fiber (g/day) 5.6 5.7 5.8 5.6 5.3 5.4 5.9 6.1 6.0
Glycemic index 54.6 54.1 53.7 53.2 52.5 54.1 53.7 53.3 52.6
Processed meat (servings/day) 0.2 0.2 0.2 0.2 0.3 0.2 0.2 0.2 0.2
Sugar-sweetened soft drinks (servings/day) 0.4 0.3 0.3 0.2 0.2 0.3 0.2 0.2 0.2
High-fat dairy (servings/day) 0.8 0.9 1.0 1.1 1.2 0.9 1.0 0.9 1.0
Low-fat dairy (servings/day) 1.4 1.4 1.3 1.3 1.2 1.3 1.5 1.5 1.5
Tea (cups/day) 0.8 0.8 0.6 0.5 0.5 0.8 0.6 0.6 0.6
Decaffeinated coffee (cups/day) 0.3 0.5 0.4 0.3 0.2
Caffeinated coffee (cups/day) 1.2 1.4 1.1 1.0
Magnesium (g/day) 302 312 318 327 344 307 324 335 346
Caffeine (mg/day) 80 118 204 415 747 253 249 205 198
Data are means, unless otherwise indicated. Data, except age, were directly standardized to the age distribution of entire cohort. MET, metabolic equivalent, P:S ratio,
ratio of polyunsaturated and saturated fat intake.
Coffee and type 2 diabetes
400 DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006
of follow-up. Furthermore, the extensive
information on potential confounders al-
lowed us to examine confounding in de-
tail. Self-reported diabetes was confirmed
by a supplementary questionnaire, and a
validation study of this method to assess
type 2 diabetes in older nurses using med-
ical records indicated that reporting of di-
abetes is accurate for U.S. women of this
profession (18). Because screening for
blood glucose was not feasible given the
size of the cohort, some underdiagnosis of
diabetes is likely. However, compared
with the general population, the degree of
underdiagnosis was probably smaller in
this cohort of nurses with ready access to
medical care. Moreover, underascertain-
ment of cases, if not associated with expo-
sure, would not be expected to affect the
RR estimates (22). Dietary validation
studies have indicated that the frequency
of coffee consumption reported on a food
frequency questionnaire is highly repro-
ducible and agrees well with assessments
using diet records (15). Although be-
tween-person variation in cup size and
strength of the coffee brew have probably
contributed to some misclassification
with regard to the exposure to relevant
coffee constituents, this would have
weakened rather than strengthened the
observed associations between coffee
consumption and risk of type 2 diabetes.
This study agrees with previous find-
ings from a meta-analysis of cohort stud-
ies (1). The summary RR of type 2
diabetes was 0.65 (95% CI 0.54–0.78)
for six to seven or more cups of coffee per
day and 0.72 (0.62–0.83) for four to six
cups of coffee per day compared with the
reference category (1). In the European
studies, coffee consumption was much
higher than in the current population,
and few participants did not consume cof-
fee. As a result, the lower range could be
studied less well, but three to four cups of
coffee per day was still associated with a
lower risk compared with two or fewer
cups per day (1). In previous U.S. studies,
consumption of four to five cups of coffee
per day, but not of one to three cups per
day, was associated with a lower risk of
type 2 diabetes compared with no coffee
consumption (14). The stronger inverse
Table 2—Relative risk of type 2 diabetes according to coffee and tea consumption and caffeine intake
Categories of intake
P value
for trend
No cups
per day
Less than
one cup
per day
One cup
per day
Two to
three cups
per day
Four or
more cups
per day
Total coffee
Median (cups/day) 0 0.43 1.2 2.5 4.6
n (cases) 479 280 199 227 78
Person-years 235,047 155,431 140,041 253,351 82,248
Age-adjusted RR 1 0.82 (0.71–0.95) 0.59 (0.50–0.70) 0.36 (0.31–0.43) 0.39 (0.30–0.49) Ͻ0.0001
Multivariate RR* 1 0.93 (0.80–1.09) 0.87 (0.73–1.03) 0.58 (0.49–0.68) 0.53 (0.41–0.68) Ͻ0.0001
Caffeinated coffee
Median (cups/day) 0 0.40 1.0 2.5 4.5
n (cases) 549 285 184 185 60
Person-years 291,336 166,146 139,048 208,945 60,643
Age-adjusted RR 1 0.81 (0.71–0.94) 0.60 (0.51–0.71) 0.41 (0.34–0.48) 0.48 (0.36–0.62) Ͻ0.0001
Multivariate RR 1 1.00 (0.86–1.17) 0.89 (0.75–1.07) 0.62 (0.52–0.74) 0.61 (0.46–0.81) Ͻ0.0001
Decaffeinated coffee
Median (cups/day) 0 0.14 1.0 2.5
n (cases) 841 313 77 32
Person-years 503,799 253,866 65,122 43,332
Age-adjusted RR 1 0.62 (0.55–0.71) 0.58 (0.46–0.73) 0.39 (0.27–0.55) 0.0001
Multivariate RR 1 0.86 (0.74–0.99) 0.87 (0.68–1.11) 0.52 (0.36–0.74) 0.005
Tea
Median (cups/day) 0 0.21 1.0 2.5 4.5
n (cases) 271 586 222 142 42
Person-years 213,433 415,827 123,772 89,878 23,209
Age-adjusted RR 1 0.90 (0.78–1.05) 1.18 (0.99–1.41) 1.07 (0.87–1.31) 1.32 (0.95–1.83) 0.005
Multivariate RR 1 0.97 (0.83–1.12) 1.17 (0.97–1.40) 0.98 (0.79–1.20) 0.88 (0.64–1.23) 0.81
Caffeine Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5
Median (mg/day) 22 93 180 341 528
n (cases) 281 308 291 218 165
Person-years 173,758 173,430 172,858 172,867 173,206
Age-adjusted RR 1 1.05 (0.89–1.23) 0.97 (0.82–1.14) 0.67 (0.56–0.80) 0.51 (0.42–0.62) Ͻ0.0001
Multivariate RR 1 0.88 (0.75–1.04) 0.89 (0.75–1.05) 0.74 (0.62–0.89) 0.55 (0.45–0.67) Ͻ0.0001
Data are RR (95% CI), unless otherwise indicated. *Adjusted for age (5-year categories), smoking status (never, past, and current), BMI (13 categories), physical
activity (quintiles of metabolic equivalent hours per week), alcohol consumption (0, 0.1–4.9, 5.0–9.9, or Ն10 g/day), use of hormone replacement therapy (ever
or never), oral contraceptive use (never, past, or current), family history of type 2 diabetes (yes/no), history of hypertension (yes/no), history of hypercholesterolemia
(yes/no), consumption of sugar-sweetened soft drinks (4 categories), consumption of punch (4 categories), and quintiles of processed meat consumption, the
polyunsaturated-to-saturated fat intake ratio, total energy intake, the glycemic index, and cereal fiber intake. Caffeinated coffee consumption and decaffeinated coffee
consumption were simultaneously included in the multivariate model, and the multivariate model for tea included coffee consumption.
van Dam and Associates
DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006 401
association between coffee consumption
and risk of type 2 diabetes in the current
study may have been related to the more
recent start of the study, possibly reflect-
ing secular changes in brew strength or
cup size in the U.S., or the younger age of
the participants. In a recent prospective
analysis of National Health and Nutrition
Examination Survey data, decaffeinated
coffee consumption was associated with a
lower risk of type 2 diabetes only in
younger participants (aged Յ60 years)
(3). However, individuals may decide to
switch from caffeinated to decaffeinated
coffee because of health-related condi-
tions. This could weaken the association
between decaffeinated coffee consump-
tion and risk of type 2 diabetes, and this
bias is more likely to occur in older and
less healthy populations than in younger
populations.
Caffeine has acutely reduced insulin
sensitivity in short-term intervention
studies (9–11). However, whether this ef-
fect pertains to long-term coffee con-
sumption is unclear because other
components of coffee may modify this ef-
fect and because tolerance may develop
(23). The similar findings for caffeinated
and decaffeinated coffee in our study sug-
gest that the detrimental acute effect of
caffeine on insulin sensitivity may not
substantially affect the relation between
long-term caffeinated coffee consumption
and incidence of type 2 diabetes. Based on
animal studies, beneficial effects of caf-
feine on insulin sensitivity have also been
suggested (12). We observed an inverse
association between caffeine intake and
risk of type 2 diabetes, but further analy-
ses suggested that this association may
have been a result of confounding by cof-
fee consumption. The inverse association
between decaffeinated coffee consump-
tion and risk of type 2 diabetes in the cur-
rent study and in three other U.S. cohorts
(3,14) also supports the hypothesis that
coffee components other than caffeine
may reduce risk of type 2 diabetes. In ad-
dition, decaffeinated coffee consumption
was associated with lower C-peptide con-
centrations in U.S. women, which sug-
gests a beneficial effect on insulin
sensitivity (24). Furthermore, beneficial
effects of coffee components other than
caffeine on glucose metabolism are bio-
logically plausible. Coffee has strong
antioxidant properties in vivo (25), chlo-
rogenic acid may delay glucose absorp-
tion in the intestine (26), and intake of
coffee components improved glucose me-
tabolism in rats (4–8).
Our observation that instant coffee
consumption was also inversely associ-
ated with risk of type 2 diabetes is plausi-
ble as the composition is similar to drip-
filtered coffee (27,28). In a previous U.S.
study, instant coffee was not associated
with risk of type 2 diabetes (3). However,
the number of participants with substan-
tial instant coffee consumption in that
smaller study may have been too low to
have adequate power to detect an associ-
ation with risk of type 2 diabetes. Simi-
larly, consumption of espresso/perculator
coffee was not common enough in our
study to have sufficient power to exclude
an inverse association with risk of type 2
diabetes. Results of one previous study
suggested that higher consumption of un-
filtered Scandinavian pot-boiled coffee is
associated with a lower risk of type 2 di-
abetes (13). However, high consumption
of unfiltered coffee increases plasma LDL
concentrations (29) and may thus in-
crease risk of coronary heart disease.
In this population of younger and
middle-aged U.S. women, consumption
of two or more cups of coffee was associ-
ated with a substantially lower risk of type
2 diabetes. This finding suggests that the
inverse association between coffee con-
sumption and risk of type 2 diabetes is not
limited to very high levels of coffee con-
sumption. However, given the interna-
tional variation in strength of the coffee
brew, cup size, natural composition of
coffee beans, and processing of coffee, our
findings for specific numbers of cups may
not be directly generalizable to other pop-
ulations. Possible detrimental effects of
frequent use of high-caloric additions to
coffee on energy balance and body weight
should also be considered. Weight man-
agement and increased physical activity,
which can lower risk of multiple chronic
diseases, should be the mainstay of pre-
ventive efforts to reduce incidence of type
2 diabetes. For individual choices regard-
ing coffee consumption, the potential ef-
fects of coffee consumption on risk of type
2 diabetes may be relevant but should be
considered in combination with other
health effects of coffee. Consumption of
decaffeinated coffee may reduce risk of
type 2 diabetes, while avoiding potential
Table 3—Risk of type 2 diabetes by combinations of total coffee consumption and caffeine intake
Quintiles of caffeine intake
Q1–Q2 Q3 Q4–Q5
Total coffee less than one cup per day
Median coffee consumption (cups/day) 0 0 0
Median caffeine intake (mg/day) 52 173 287
Number of cases/person-years 533/292,658 184/79,183 42/18,638
RR (95% CI) 1 (ref.) 1.02 (0.86–1.21) 0.85 (0.62–1.16)
Total coffee 1.0–1.9 cups/day
Median coffee consumption (cups/day) 1.1 1.1 1.6
Median caffeine intake (mg/day) 74 186 297
Number of cases/person-years 38/31,550 87/68,142 74/40,348
RR (95% CI) 0.89 (0.63–1.23) 0.88 (0.70–1.10) 0.90 (0.70–1.16)
Total coffee two or more cups per day
Median coffee consumption (cups/day) 2.5 2.5 2.6
Median caffeine intake (mg/day) 51 189 430
Number of cases/person-years 18/22,979 20/25,533 267/287,087
RR (95% CI) 0.52 (0.32–0.83) 0.50 (0.32–0.79) 0.59 (0.50–0.69)
RRs were multivariate adjusted as described in the legend of Table 2.
Coffee and type 2 diabetes
402 DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006
detrimental effects on blood pressure (30)
and sleep quality.
Acknowledgments— This study was funded
by research grants CA50385 and DK58845
from the National Institutes of Health.
We are indebted to the participants of the
Nurses’ Health Study II for their continued co-
operation and to Ms. E. Konstantis for the fol-
low-up of type 2 diabetes.
References
1. Van Dam RM, Hu FB: Coffee consump-
tion and risk of type 2 diabetes: a system-
atic review. JAMA 294:97–104, 2005
2. Faerch K, Lau C, Tetens I, Pedersen OB,
Jorgensen T, Borch-Johnsen K, Glumer C:
A statistical approach based on substitu-
tion of macronutrients provides addi-
tional information to models analyzing
single dietary factors in relation to type 2
diabetes in Danish adults: the Inter99
study. J Nutr 135:1177–1182, 2005
3. Greenberg JA, Axen KV, Schnoll R,
Boozer CN: Coffee, tea and diabetes: the
role of weight loss and caffeine. Int J Obes
Relat Metab Disord 29:1121–1129, 2005
4. Andrade-Cetto A, Wiedenfeld H: Hypo-
glycemic effect of Cecropia obtusifolia on
streptozotocin diabetic rats. J Ethnophar-
macol 78:145–149, 2001
5. Rodriguez de Sotillo DV, Hadley M: Chlo-
rogenic acid modifies plasma and liver
concentrations of: cholesterol, triacylglyc-
erol, and minerals in (fa/fa) Zucker rats. J
Nutr Biochem 13:717–726, 2002
6. Shearer J, Farah A, de Paulis T, Bracy DP,
Pencek RR, Graham TE, Wasserman DH:
Quinides of roasted coffee enhance insu-
lin action in conscious rats. J Nutr 133:
3529–3532, 2003
7. Mishkinsky J, Joseph B, Sulman FG: Hy-
poglycaemic effect of trigonelline. Lancet
16:1311–1312, 1967
8. Prasad K, Mantha SV, Muir AD, Westcott
ND: Protective effect of secoisolaricires-
inol diglucoside against streptozotocin-
induced diabetes and its mechanism. Mol
Cell Biochem 206:141–149, 2000
9. Keijzers GB, De Galan BE, Tack CJ, Smits
P: Caffeine can decrease insulin sensitivity
in humans. Diabetes Care 25:364–369,
2002
10. Greer F, Hudson R, Ross R, Graham T:
Caffeine ingestion decreases glucose dis-
posal during a hyperinsulinemic-euglyce-
mic clamp in sedentary humans. Diabetes
50:2349–2354, 2001
11. Thong FS, Derave W, Kiens B, Graham
TE, Urso B, Wojtaszewski JF, Hansen BF,
Richter EA: Caffeine-induced impairment
of insulin action but not insulin signaling
in human skeletal muscle is reduced by
exercise. Diabetes 51:583–590, 2002
12. Yoshioka K, Kogure A, Yoshida T, Yo-
shikawa T: Coffee consumption and risk
of type 2 diabetes mellitus (Letter). Lancet
360:703, 2002
13. Tuomilehto J, Hu G, Bidel S, Lindstrom J,
Jousilahti P: Coffee consumption and risk
of type 2 diabetes mellitus among middle-
aged Finnish men and women. JAMA
291:1213–1219, 2004
14. Salazar-Martinez E, Willett WC, Ascherio
A, Manson JE, Leitzmann MF, Stampfer
MJ, Hu FB: Coffee consumption and risk
for type 2 diabetes mellitus. Ann Intern
Med 140:1–8, 2004
15. Salvini S, Hunter DJ, Sampson L,
Stampfer MJ, Colditz GA, Rosner B, Wil-
lett WC: Food-based validation of a di-
etary questionnaire: the effects of week-
to-week variation in food consumption.
Int J Epidemiol 18:858–867, 1989
16. National Diabetes Data Group: Classifica-
tion of diabetes mellitus and other catego-
ries of glucose intolerance. Diabetes 28:
1039–1057, 1979
17. Expert Committee on the Diagnosis and
Classification of Diabetes Mellitus: Report
of the Expert Committee on the Diagnosis
and Classification of Diabetes Mellitus.
Diabetes Care 20:1183–1197, 1997
18. Manson JE, Rimm EB, Stampfer MJ, Cold-
itz GA, Willett WC, Krolewski AS, Rosner
B, Hennekens CH, Speizer FE: Physical
activity and incidence of non-insulin-de-
pendent diabetes mellitus in women. Lan-
cet 338:774–778, 1991
19. Wolf AM, Hunter DJ, Colditz GA, Man-
son JE, Stampfer MJ, Corsano KA, Rosner
B, Kriska A, Willett WC: Reproducibility
and validity of a self-administered physi-
cal activity questionnaire. Int J Epidemiol
23:991–999, 1994
20. Willett W, Stampfer MJ, Bain C, Lipnick
R, Speizer FE, Rosner B, Cramer D, Hen-
nekens CH: Cigarette smoking, relative
weight, and menopause. Am J Epidemiol
117:651–658, 1983
21. Hu FB, Stampfer MJ, Rimm E, Ascherio A,
Rosner BA, Spiegelman D, Willett WC:
Dietary fat and coronary heart disease: a
comparison of approaches for adjusting
for total energy intake and modeling re-
peated dietary measurements. Am J Epide-
miol 149:531–540, 1999
22. Rothman K, Greenland S: Precision and
validity in epidemiological studies. In
Modern Epidemiology. 2nd ed. Rothman K,
Greenland S, Eds. Philadelphia, Lippin-
cott-Raven, 1998, p. 115–134
23. Robertson D, Wade D, Workman R,
Woosley RL, Oates JA: Tolerance to the
humoral and hemodynamic effects of caf-
feine in man. J Clin Invest 67:1111–1117,
1981
24. Wu T, Willett WC, Hankinson SE, Gio-
vannucci E: Caffeinated coffee, decaffein-
ated coffee, and caffeine in relation to
plasma C-peptide levels, a marker of in-
sulin secretion, in U.S. women. Diabetes
Care 28:1390–1396, 2005
25. Svilaas A, Sakhi AK, Andersen LF, Svilaas
T, Strom EC, Jacobs DR Jr, Ose L, Blom-
hoff R: Intakes of antioxidants in coffee,
wine, and vegetables are correlated with
plasma carotenoids in humans. J Nutr
134:562–567, 2004
26. McCarty MF: A chlorogenic acid-induced
increase in GLP-1 production may medi-
ate the impact of heavy coffee consump-
tion on diabetes risk. Med Hypotheses 64:
848–853, 2005
27. US Department of Agriculture Agricul-
tural Research Service: USDA National
Nutrient Database for Standard Reference,
Release 18. Nutrient Data Laboratory
Home Page, 2005. Available from http://
www.nal.usda.gov/fnic/foodcomp.
Accessed 18 November 2005
28. Clifford MN: Chlorogenic acids and other
cinnamates: nature, occurrence and di-
etary burden. J Sci Food Agric 79:362–372,
1999
29. Jee SH, He J, Appel LJ, Whelton PK, Suh I,
Klag MJ: Coffee consumption and serum
lipids: a meta-analysis of randomized
controlled clinical trials. Am J Epidemiol
153:353–362, 2001
30. Noordzij M, Uiterwaal CS, Arends LR,
Kok FJ, Grobbee DE, Geleijnse JM: Blood
pressure response to chronic intake of
coffee and caffeine: a meta-analysis of ran-
domized controlled trials. J Hypertens 23:
921–928, 2005
van Dam and Associates
DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006 403

Weitere ähnliche Inhalte

Was ist angesagt?

The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
Carly Freeman
 
An assessment of food supplementationto chronically sick patients receiving ...
An assessment of food supplementationto chronically sick patients  receiving ...An assessment of food supplementationto chronically sick patients  receiving ...
An assessment of food supplementationto chronically sick patients receiving ...
College of Medicine(University of Malawi)
 
Nutritional Assessment Project
Nutritional Assessment ProjectNutritional Assessment Project
Nutritional Assessment Project
JLWescott87
 
Nordic diet in metabolic syndrome, sysdiet
Nordic diet in metabolic syndrome, sysdietNordic diet in metabolic syndrome, sysdiet
Nordic diet in metabolic syndrome, sysdiet
Reijo Laatikainen
 

Was ist angesagt? (18)

Order 25142695
Order 25142695Order 25142695
Order 25142695
 
Malnutrition in the hospital
Malnutrition in the hospitalMalnutrition in the hospital
Malnutrition in the hospital
 
Evaluation of the Glycaemic Index of some Staple Foods of South Eastern Nigeria
Evaluation of the Glycaemic Index of some Staple Foods of South Eastern NigeriaEvaluation of the Glycaemic Index of some Staple Foods of South Eastern Nigeria
Evaluation of the Glycaemic Index of some Staple Foods of South Eastern Nigeria
 
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
 
Plant Based Diet: Research and Learning
Plant Based Diet: Research and LearningPlant Based Diet: Research and Learning
Plant Based Diet: Research and Learning
 
Effects of moderate doses of vitamin A as an adjunct to the treatment of pneu...
Effects of moderate doses of vitamin A as an adjunct to the treatment of pneu...Effects of moderate doses of vitamin A as an adjunct to the treatment of pneu...
Effects of moderate doses of vitamin A as an adjunct to the treatment of pneu...
 
An assessment of food supplementationto chronically sick patients receiving ...
An assessment of food supplementationto chronically sick patients  receiving ...An assessment of food supplementationto chronically sick patients  receiving ...
An assessment of food supplementationto chronically sick patients receiving ...
 
Correlation between Blood group, Hypertension, Obesity, Diabetes, and combina...
Correlation between Blood group, Hypertension, Obesity, Diabetes, and combina...Correlation between Blood group, Hypertension, Obesity, Diabetes, and combina...
Correlation between Blood group, Hypertension, Obesity, Diabetes, and combina...
 
Diet discussions, dieticians view wcsj 2013 helsinki
Diet discussions, dieticians view wcsj 2013 helsinki Diet discussions, dieticians view wcsj 2013 helsinki
Diet discussions, dieticians view wcsj 2013 helsinki
 
Nutritional Epidemiological Study to Estimate Usual Intake and to Define Opti...
Nutritional Epidemiological Study to Estimate Usual Intake and to Define Opti...Nutritional Epidemiological Study to Estimate Usual Intake and to Define Opti...
Nutritional Epidemiological Study to Estimate Usual Intake and to Define Opti...
 
Nutritional Assessment
Nutritional AssessmentNutritional Assessment
Nutritional Assessment
 
Smell Study On Weight Loss Effects
Smell Study On Weight Loss EffectsSmell Study On Weight Loss Effects
Smell Study On Weight Loss Effects
 
481 paper 2
481 paper 2481 paper 2
481 paper 2
 
Nutritional Assessment Project
Nutritional Assessment ProjectNutritional Assessment Project
Nutritional Assessment Project
 
Plant Based Diets – What's New?
Plant Based Diets – What's New?Plant Based Diets – What's New?
Plant Based Diets – What's New?
 
NTR5503K Mini Nutritional Assessment
NTR5503K Mini Nutritional Assessment NTR5503K Mini Nutritional Assessment
NTR5503K Mini Nutritional Assessment
 
Nordic diet in metabolic syndrome, sysdiet
Nordic diet in metabolic syndrome, sysdietNordic diet in metabolic syndrome, sysdiet
Nordic diet in metabolic syndrome, sysdiet
 
Special topics in nutrition
Special topics in nutritionSpecial topics in nutrition
Special topics in nutrition
 

Ähnlich wie Cohorte ejercicio 1-dia-care-2006-van-dam-398-403

Systematic Reviews and Meta- and Pooled AnalysesEffects of.docx
Systematic Reviews and Meta- and Pooled AnalysesEffects of.docxSystematic Reviews and Meta- and Pooled AnalysesEffects of.docx
Systematic Reviews and Meta- and Pooled AnalysesEffects of.docx
ssuserf9c51d
 
RunningHead PICOT Question1RunningHead PICOT Question7.docx
RunningHead PICOT Question1RunningHead PICOT Question7.docxRunningHead PICOT Question1RunningHead PICOT Question7.docx
RunningHead PICOT Question1RunningHead PICOT Question7.docx
rtodd599
 
FINAL Paper Research (2)
FINAL Paper Research (2)FINAL Paper Research (2)
FINAL Paper Research (2)
Nadine Massaad
 
Running head MANAGEMENT OF DIABETES IN ELDERLY HISPANIC AMERICA.docx
Running head MANAGEMENT OF DIABETES IN ELDERLY HISPANIC AMERICA.docxRunning head MANAGEMENT OF DIABETES IN ELDERLY HISPANIC AMERICA.docx
Running head MANAGEMENT OF DIABETES IN ELDERLY HISPANIC AMERICA.docx
cowinhelen
 
Good things in life, can coffee help in diabetes prevention
Good things in life, can coffee help in diabetes preventionGood things in life, can coffee help in diabetes prevention
Good things in life, can coffee help in diabetes prevention
CafeSalud
 
Use of Diet Pills and Other Dieting Aids in a CollegePopulat.docx
Use of Diet Pills and Other Dieting Aids in a CollegePopulat.docxUse of Diet Pills and Other Dieting Aids in a CollegePopulat.docx
Use of Diet Pills and Other Dieting Aids in a CollegePopulat.docx
dickonsondorris
 
Case study presentation on DM-II (1).pptx
Case study presentation on DM-II (1).pptxCase study presentation on DM-II (1).pptx
Case study presentation on DM-II (1).pptx
HozanBurhan
 

Ähnlich wie Cohorte ejercicio 1-dia-care-2006-van-dam-398-403 (20)

Relationship between urinary Bisphenol A (BPA) levels and diabetes mellitus
Relationship between urinary Bisphenol A (BPA) levels and diabetes mellitusRelationship between urinary Bisphenol A (BPA) levels and diabetes mellitus
Relationship between urinary Bisphenol A (BPA) levels and diabetes mellitus
 
Public health nut4
Public health nut4Public health nut4
Public health nut4
 
system biologys presentation .pptx
system biologys presentation .pptxsystem biologys presentation .pptx
system biologys presentation .pptx
 
Naheed
NaheedNaheed
Naheed
 
Dietary guidelines are right
Dietary guidelines are rightDietary guidelines are right
Dietary guidelines are right
 
Systematic Reviews and Meta- and Pooled AnalysesEffects of.docx
Systematic Reviews and Meta- and Pooled AnalysesEffects of.docxSystematic Reviews and Meta- and Pooled AnalysesEffects of.docx
Systematic Reviews and Meta- and Pooled AnalysesEffects of.docx
 
RunningHead PICOT Question1RunningHead PICOT Question7.docx
RunningHead PICOT Question1RunningHead PICOT Question7.docxRunningHead PICOT Question1RunningHead PICOT Question7.docx
RunningHead PICOT Question1RunningHead PICOT Question7.docx
 
Gestational diabetes mellitus
Gestational diabetes mellitusGestational diabetes mellitus
Gestational diabetes mellitus
 
A Practical Approach To The Management Of Micronutrients And Other Nutrients ...
A Practical Approach To The Management Of Micronutrients And Other Nutrients ...A Practical Approach To The Management Of Micronutrients And Other Nutrients ...
A Practical Approach To The Management Of Micronutrients And Other Nutrients ...
 
Coughlin_CoCoTea Congress Turin June 2017_Coffee and Caffeine Update from the...
Coughlin_CoCoTea Congress Turin June 2017_Coffee and Caffeine Update from the...Coughlin_CoCoTea Congress Turin June 2017_Coffee and Caffeine Update from the...
Coughlin_CoCoTea Congress Turin June 2017_Coffee and Caffeine Update from the...
 
Coughlin_US Senate testimony on caffeine_July 2013
Coughlin_US Senate testimony on caffeine_July 2013Coughlin_US Senate testimony on caffeine_July 2013
Coughlin_US Senate testimony on caffeine_July 2013
 
FINAL Paper Research (2)
FINAL Paper Research (2)FINAL Paper Research (2)
FINAL Paper Research (2)
 
The Potential Toxicity of Artificial Sweeteners
The Potential Toxicity of Artificial SweetenersThe Potential Toxicity of Artificial Sweeteners
The Potential Toxicity of Artificial Sweeteners
 
Running head MANAGEMENT OF DIABETES IN ELDERLY HISPANIC AMERICA.docx
Running head MANAGEMENT OF DIABETES IN ELDERLY HISPANIC AMERICA.docxRunning head MANAGEMENT OF DIABETES IN ELDERLY HISPANIC AMERICA.docx
Running head MANAGEMENT OF DIABETES IN ELDERLY HISPANIC AMERICA.docx
 
Changing trend in diabetes mellitus
Changing trend in diabetes mellitusChanging trend in diabetes mellitus
Changing trend in diabetes mellitus
 
Good things in life, can coffee help in diabetes prevention
Good things in life, can coffee help in diabetes preventionGood things in life, can coffee help in diabetes prevention
Good things in life, can coffee help in diabetes prevention
 
Diabetes 101
Diabetes 101Diabetes 101
Diabetes 101
 
Use of Diet Pills and Other Dieting Aids in a CollegePopulat.docx
Use of Diet Pills and Other Dieting Aids in a CollegePopulat.docxUse of Diet Pills and Other Dieting Aids in a CollegePopulat.docx
Use of Diet Pills and Other Dieting Aids in a CollegePopulat.docx
 
PERCEPCION DE LA MAGEN CORPORAL (ESPAÑA).pdf
PERCEPCION DE LA MAGEN CORPORAL (ESPAÑA).pdfPERCEPCION DE LA MAGEN CORPORAL (ESPAÑA).pdf
PERCEPCION DE LA MAGEN CORPORAL (ESPAÑA).pdf
 
Case study presentation on DM-II (1).pptx
Case study presentation on DM-II (1).pptxCase study presentation on DM-II (1).pptx
Case study presentation on DM-II (1).pptx
 

Kürzlich hochgeladen

🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
Call Girls In Delhi Whatsup 9873940964 Enjoy Unlimited Pleasure
 
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
adilkhan87451
 
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 

Kürzlich hochgeladen (20)

Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
 
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426
 
🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
🌹Attapur⬅️ Vip Call Girls Hyderabad 📱9352852248 Book Well Trand Call Girls In...
 
Trichy Call Girls Book Now 9630942363 Top Class Trichy Escort Service Available
Trichy Call Girls Book Now 9630942363 Top Class Trichy Escort Service AvailableTrichy Call Girls Book Now 9630942363 Top Class Trichy Escort Service Available
Trichy Call Girls Book Now 9630942363 Top Class Trichy Escort Service Available
 
Call Girls Rishikesh Just Call 9667172968 Top Class Call Girl Service Available
Call Girls Rishikesh Just Call 9667172968 Top Class Call Girl Service AvailableCall Girls Rishikesh Just Call 9667172968 Top Class Call Girl Service Available
Call Girls Rishikesh Just Call 9667172968 Top Class Call Girl Service Available
 
Premium Bangalore Call Girls Jigani Dail 6378878445 Escort Service For Hot Ma...
Premium Bangalore Call Girls Jigani Dail 6378878445 Escort Service For Hot Ma...Premium Bangalore Call Girls Jigani Dail 6378878445 Escort Service For Hot Ma...
Premium Bangalore Call Girls Jigani Dail 6378878445 Escort Service For Hot Ma...
 
Premium Call Girls In Jaipur {8445551418} ❤️VVIP SEEMA Call Girl in Jaipur Ra...
Premium Call Girls In Jaipur {8445551418} ❤️VVIP SEEMA Call Girl in Jaipur Ra...Premium Call Girls In Jaipur {8445551418} ❤️VVIP SEEMA Call Girl in Jaipur Ra...
Premium Call Girls In Jaipur {8445551418} ❤️VVIP SEEMA Call Girl in Jaipur Ra...
 
8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad
8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad
8980367676 Call Girls In Ahmedabad Escort Service Available 24×7 In Ahmedabad
 
Low Rate Call Girls Bangalore {7304373326} ❤️VVIP NISHA Call Girls in Bangalo...
Low Rate Call Girls Bangalore {7304373326} ❤️VVIP NISHA Call Girls in Bangalo...Low Rate Call Girls Bangalore {7304373326} ❤️VVIP NISHA Call Girls in Bangalo...
Low Rate Call Girls Bangalore {7304373326} ❤️VVIP NISHA Call Girls in Bangalo...
 
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...
 
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...
 
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...
 
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
 
Call Girls Madurai Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Madurai Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Madurai Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Madurai Just Call 9630942363 Top Class Call Girl Service Available
 
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...
 
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...
 
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
 
Top Rated Hyderabad Call Girls Erragadda ⟟ 9332606886 ⟟ Call Me For Genuine ...
Top Rated  Hyderabad Call Girls Erragadda ⟟ 9332606886 ⟟ Call Me For Genuine ...Top Rated  Hyderabad Call Girls Erragadda ⟟ 9332606886 ⟟ Call Me For Genuine ...
Top Rated Hyderabad Call Girls Erragadda ⟟ 9332606886 ⟟ Call Me For Genuine ...
 
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
 
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...
Call Girls Service Jaipur {9521753030 } ❤️VVIP BHAWNA Call Girl in Jaipur Raj...
 

Cohorte ejercicio 1-dia-care-2006-van-dam-398-403

  • 1. Coffee, Caffeine, and Risk of Type 2 Diabetes A prospective cohort study in younger and middle-aged U.S. women ROB M. VAN DAM, PHD 1,2 WALTER C. WILLETT, MD 1,3,4 JOANN E. MANSON, MD 3,4,5 FRANK B. HU, MD 1,3,4 OBJECTIVE — High habitual coffee consumption has been associated with a lower risk of type 2 diabetes, but data on lower levels of consumption and on different types of coffee are sparse. RESEARCH DESIGN AND METHODS — This is a prospective cohort study including 88,259 U.S. women of the Nurses’ Health Study II aged 26–46 years without history of diabetes at baseline. Consumption of coffee and other caffeine-containing foods and drinks was assessed in 1991, 1995, and 1999. We documented 1,263 incident cases of confirmed type 2 diabetes between 1991 and 2001. RESULTS — After adjustment for potential confounders, the relative risk of type 2 diabetes was 0.87 (95% CI 0.73–1.03) for one cup per day, 0.58 (0.49–0.68) for two to three cups per day, and 0.53 (0.41–0.68) for four or more cups per day compared with nondrinkers (P for trend Ͻ0.0001). Associations were similar for caffeinated (0.87 [0.83–0.91] for a one-cup increment per day) and decaffeinated (0.81 [0.73–0.90]) coffee and for filtered (0.86 [0.82–0.90]) and instant (0.83 [0.74–0.93]) coffee. Tea consumption was not substantially associated with risk of type 2 diabetes (0.88 [0.64–1.23] for four or more versus no cups per day; P for trend ϭ 0.81). CONCLUSIONS — These results suggest that moderate consumption of both caffeinated and decaffeinated coffee may lower risk of type 2 diabetes in younger and middle-aged women. Coffee constituents other than caffeine may affect the development of type 2 diabetes. Diabetes Care 29:398–403, 2006 H igh coffee consumption has been associated with better glucose toler- ance and a substantially lower risk of type 2 diabetes in diverse populations in Europe, the U.S., and Japan (1–3). However, it remains unclear what coffee components may be responsible for the apparent beneficial effect of coffee on glu- cose metabolism. In rats, intakes of the coffee components chlorogenic acid (4,5), quinic acid (6), trigonelline (7), and the lignan secoisolariciresinol (8) im- proved glucose metabolism. Short-term metabolic studies in humans have shown that caffeine can acutely lower insulin sensitivity (9–11). However, the long- term effects of caffeine intake on glucose metabolism are unknown, and beneficial effects on insulin sensitivity through in- creased expression of uncoupling pro- teins have also been suggested (12). In most of the populations in which the relation between coffee consumption and type 2 diabetes has been studied, drip-filtered caffeinated coffee was the predominant type of coffee consumed (1). Data on decaffeinated coffee and var- ious methods of coffee preparation in re- lation to risk of type 2 diabetes are sparse (3,13,14). In addition, in previous studies consumption of five or more cups of cof- fee per day was consistently associated with a lower risk of type 2 diabetes, but results for lower levels of consumption have been mixed (1). We therefore exam- ined the consumption of different types of coffee and the intake of caffeine in relation to risk of type 2 diabetes in a large cohort of younger and middle-aged U.S. women. RESEARCH DESIGN AND METHODS — We used data from the prospective Nurses’ Health Study II. This cohort included 116,671 female U.S. nurses at study initiation in 1989. Infor- mation has been collected using biennial- mailed questionnaires, and response rates have been ϳ90% for each questionnaire. For the current analysis, follow-up began at the return of the 1991 questionnaire because diet was first assessed in that year. Participants were aged 26–46 years at the start of follow-up. We excluded women if they did not complete a dietary questionnaire in 1991; if Ͼ70 items were left blank or if the reported total energy intake was implausible (Ͻ500 kcal/day or Ͼ3,500 kcal/day); if they had a history of diabetes (including gestational diabetes), cancer (except nonmelanoma skin can- cer), or cardiovascular disease at baseline; or if they had not provided data on phys- ical activity in 1991. A total of 88,259 women remained for the current analysis. The study was approved by the human research committees at the Harvard School of Public Health and Brigham and Women’s Hospital. Assessment of coffee consumption Validated dietary questionnaires were sent to the Nurses’ Health Study partici- pants in 1991, 1995, and 1999. Partici- pants were asked how often on average during the previous year they had con- sumed caffeinated and decaffeinated cof- fee (“one cup”), tea (“one cup or glass”), different types of caffeinated soft drinks (“one glass, bottle, or can”), and chocolate products (e.g., “bar or packet”). The par- ticipants could choose from nine re- ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● From the 1 Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts; the 2 Depart- ment of Nutrition and Health, Faculty of Earth and Life Sciences, Vrije Universiteit of Amsterdam, Amster- dam, the Netherlands; the 3 Department of Epidemiology, Harvard School of Public Health, Boston Massachusetts; the 4 Channing Laboratory, Harvard Medical School and Brigham and Women’s Hospital, Boston, Massachusetts; and the 5 Division of Preventive Medicine, Harvard Medical School and Brigham and Women’s Hospital, Boston, Massachusetts. Address correspondence to Rob M. van Dam, Department of Nutrition, Harvard School of Public Health, 665 Huntington Ave., Boston, MA 02115. E-mail: rvandam@hsph.harvard.edu. Received for publication 12 August 2005 and accepted in revised form 30 October 2005. A table elsewhere in this issue shows conventional and Syste`me International (SI) units and conversion factors for many substances. © 2006 by the American Diabetes Association. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. C a r d i o v a s c u l a r a n d M e t a b o l i c R i s k O R I G I N A L A R T I C L E 398 DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006
  • 2. sponses (never or less than one per month, one to three per month, one per week, two to four per week, five to six per week, one per day, two to three per day, four to five per day, and six or more per day). In 1991, we also asked about the usual method of preparing coffee with the answer categories “mainly filtered,” “mainly instant,” “mainly espresso or per- culator,” and “no usual method/don’t know/don’t use.” We assessed the total in- take of caffeine by summing the caffeine content for a specific amount multiplied by a weight proportional to the frequency of its use. Using U.S. Department of Agri- culture food composition data supple- mented with other sources, we estimated that the caffeine content was 137 mg per cup of coffee, 47 mg per cup of tea, 46 mg per bottle or can of cola beverage, and 7 mg per serving of chocolate candy. In a validation study in the original Nurses’ Health Study, we found high correlations between intake of coffee and other caf- feinated beverages assessed with food fre- quency questionnaire and with four 1-week diet records (coffee, r ϭ 0.78; tea, r ϭ 0.93; and caffeinated sodas, r ϭ 0.85) (15). Assessment of type 2 diabetes Women who reported a diagnosis of diabetes on a biennial follow-up ques- tionnaire were sent a supplementary questionnaire asking about diagnosis and treatment of diabetes and history of keto- acidosis to confirm the self-report and to distinguish between type 1, type 2, and gestational diabetes. In accordance with the criteria of the National Diabetes Data Group (16), confirmation of diabetes re- quired at least one of the following for cases that were diagnosed through 1997: 1) an elevated glucose concentration (fast- ing plasma glucose Ն7.8 mmol/l [140 mg/dl], random plasma glucose Ն11.1 mmol/l [200 mg/dl], and/or plasma glu- cose Ն2 h after an oral glucose load Ն11.1 mmol/l) plus at least one classic symptom (excessive thirst, polyuria, weight loss, or hunger), 2) no symptoms but elevated plasma glucose concentra- tions as described above on at least two different occasions, or 3) treatment with insulin or oral hypoglycemic medication. For cases that were diagnosed after 1998, we changed the cutoff for fasting plasma glucose concentrations to 7.0 mmol/l [126 mg/dl] in accordance with the 1997 American Diabetes Association criteria (17). In a validation study in the original Nurses’ Health Study, 98% of the cases ascertained by the same supplementary questionnaire were confirmed by medical record review (18). Assessment of medical history, anthropometry, and lifestyle On the baseline questionnaires, we re- quested information about age; weight and height; smoking status; physical ac- tivity; history of diabetes in first-degree relatives; use of postmenopausal hor- mone therapy; use of oral contraceptives; and personal history of diabetes, cardio- vascular diseases, and cancers. This infor- mation has been updated every 2 years, with the exception of physical activity (only updated in 1997) and height and family history. BMI was calculated as weight in kilograms divided by the square of height in meters, and physical activity was assessed in metabolic equivalents per week. Validation studies for the assess- ment of body weight and physical activity have been previously reported (19,20). Statistical analyses Person-years of exposure were calculated from the date of return of the baseline questionnaire to the date of diagnosis of type 2 diabetes, death, or 1 July 2001, whichever came first. Cox proportional hazards regression models stratified by 5-year age categories and 2-year time pe- riods were used to examine the associa- tion between coffee consumption and risk of type 2 diabetes. To reduce within- subject variation and to best represent long-term exposure, we used the cumula- tive average of coffee consumption and other dietary variables from all available dietary questionnaires up to the start of each 2-year follow-up interval (21). We stopped updating diet at the beginning of the time interval during which individu- als developed cancer (except nonmela- noma skin cancer), cardiovascular diseases, or gestational diabetes because changes in diet after development of these conditions may confound the relationship between diet and diabetes (21). Nondietary covari- ates were also updated during follow-up using the most recent data for each 2-year interval. To test for linear trends across categories, we modeled the median of each category of coffee consumption as a continuous variable. For analyses that ex- amined the association between coffee consumption and risk of type 2 diabetes for women who used a certain method of preparing coffee, we excluded coffee con- sumers who used other methods or did not report what method they used. All reported P values were two tailed, and P values Ͻ0.05 were considered statisti- cally significant. All analyses were per- formed using SAS software, version 8.2 (SAS Institute, Cary, NC). RESULTS — During 866,118 person- years of follow-up, we documented 1,263 cases of type 2 diabetes. Characteristics of the study population according to con- sumption of caffeinated and decaffeinated coffee and caffeine intake are presented in Table 1. Higher caffeinated coffee con- sumption, but not decaffeinated coffee consumption, was strongly associated with cigarette smoking and higher alco- hol consumption. Both higher caffeinated and higher decaffeinated coffee consump- tion were associated with older age and lower consumption of sugar-sweetened soft drinks and tea. Women who did not consume caffeinated or decaffeinated cof- fee tended to have a higher BMI compared with women who did consume either type of coffee. Pearson correlations with caffeine intake were 0.83 for total coffee, 0.94 for caffeinated coffee, Ϫ0.05 for de- caffeinated coffee, and 0.09 for tea con- sumption. Higher coffee consumption was asso- ciated with a lower risk of type 2 diabetes (Table 2). Adjustment for potential con- founders weakened this association, mainly due to adjustment for BMI and al- cohol consumption. After multivariate adjustment, the relative risk (RR) of type 2 diabetes was 0.87 (95% CI 0.73–1.03) for one cup per day, 0.58 (0.49–0.68) for 2–3 cups per day, and 0.53 (0.41–0.68) for four or more cups per day. Additional adjustment for magnesium, high- and low-fat dairy consumption, tea consump- tion, or sucrose intake; adjustment for BMI as a continuous variable; use of base- line coffee consumption instead of cumu- lative updated coffee consumption; use of baseline coffee consumption with exclu- sion of the first 4 years of follow-up; and exclusion of women who developed ges- tational diabetes during follow-up did not substantially change the association be- tween coffee consumption and risk of type 2 diabetes (RR for four or more cups per day versus no cups per day ranged from 0.51 to 0.60; all P values Ͻ0.0001). Both higher caffeinated coffee and higher decaffeinated coffee consumption were associated with a lower risk of type 2 di- abetes (Table 2). Tea consumption was not substantially associated with risk of type 2 diabetes after adjustment for po- tential confounders (0.88 [0.64–1.23] for van Dam and Associates DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006 399
  • 3. four or more versus no cups per day; P for trend ϭ 0.81). Higher caffeine intake was associated with a lower risk of type 2 diabetes (Table 2). Because coffee and caffeine intake were correlated, we attempted to identify their possible independent effects by ex- amination of cross-categories of coffee and caffeine intake in relation to risk of type 2 diabetes. Higher total coffee con- sumption was associated with a lower risk of type 2 diabetes in each category of caf- feine intake. In contrast, higher caffeine intake was not substantially associated with risk of type 2 diabetes within catego- ries of total coffee consumption (Table 3). We also included total coffee consump- tion and caffeine intake simultaneously in the multivariate model as continuous variables. The association between total coffee consumption and risk of type 2 di- abetes remained similar: the RR for a one- cup increment in consumption was 0.86 (95% CI 0.82–0.89) after multivariate ad- justment and 0.84 (0.79–0.91) after fur- ther adjustment for caffeine intake. In contrast, the association between caffeine intake and risk of type 2 diabetes disap- peared after adjustment for coffee con- sumption (1.01 [0.96–1.07] for a 100 mg per day higher intake). Consistent with this observation, the strength of the in- verse association with risk of type 2 dia- betes was similar for decaffeinated (multivariate RR 0.81 [95% CI 0.73– 0.90]) and caffeinated coffee consump- tion (0.87 [0.83–0.91]) when expressed for a one-cup increment in consumption per day and simultaneously included in the multivariate model. We also examined whether the used method of preparing coffee affected the association between coffee consumption and risk of type 2 diabetes. The multivar- iate RR of type 2 diabetes associated with a one-cup increment in coffee consump- tion per day was similar for filtered coffee (RR 0.86 [95% CI 0.82–0.90]) and in- stant coffee (0.83 [0.74–0.93]). In con- trast, consumption of espresso/perculator coffee was not substantially associated with a lower risk of type 2 diabetes (0.97 [0.85–1.10]), but the number of women who regularly consumed espresso/ perculator coffee was relatively low (num- ber of diabetes cases for consumption of two or more cups per day: 254 for filtered coffee, 27 for instant coffee, and 18 for perculator/espresso coffee). CONCLUSIONS — In this study of U.S. women aged 26–46 years at base- line, consumption of two or more cups of coffee per day was associated with a sub- stantially lower risk of type 2 diabetes during 10 years of follow-up. This associ- ation was similar for caffeinated and de- caffeinated coffee and for filtered and instant coffee. The inverse association be- tween coffee consumption and risk of type 2 diabetes was independent of caf- feine intake. The prospective design and high rate of follow-up in this study minimizes the possibility of recall bias or bias due to loss Table 1—Baseline characteristics of the study population by level of caffeinated and decaffeinated coffee consumption Caffeinated coffee Decaffeinated coffee No cups per day Less than one cup per day One cup per day Two to three cups per day Four or more cups per day No cups day Less than one cup per day One cup per day Two or more cups per day Median 0 0.40 1.1 2.5 4.5 0 0.14 1.0 2.5 n (participants) 33,375 14,020 11,292 21,672 7,900 56,728 19,605 5,999 5,927 Age (years) 35.6 35.4 36.2 36.8 37.6 35.8 36.2 37.1 38.2 BMI (kg/m2 ) 24.9 24.6 24.2 24.1 24.6 24.8 24.1 24.0 24.2 Physical activity (MET h/week) 20.3 20.6 22.0 21.8 21.4 20.6 21.2 22.2 22.3 Current smoker (%) 6.7 7.7 10.0 16.9 35.6 13.7 9.0 8.7 13.3 Family history of diabetes (%) 16.1 15.6 15.4 15.7 17.6 16.3 15.0 15.7 15.7 Hypertension (%) 3.6 3.6 3.1 2.6 2.5 3.4 2.8 3.1 2.5 Hypercholesterolemia (%) 9.6 9.3 8.9 8.6 9.7 9.3 9.1 9.3 8.6 Ever hormone replacement therapy (%) 7.3 6.9 7.1 6.5 6.9 7.1 6.6 6.9 7.0 Current oral contraceptive use (%) 10.7 12.1 12.1 10.6 8.2 11.7 9.7 8.2 7.8 Dietary intake Total energy (kcal/day) 1,777 1,781 1,787 1,788 1,832 1,768 1,822 1,819 1,829 Alcohol consumption (g/day) 1.8 2.8 3.5 4.7 4.6 3.0 3.4 3.0 3.6 P:S ratio 0.52 0.53 0.53 0.52 0.51 0.52 0.53 0.54 0.53 Cereal fiber (g/day) 5.6 5.7 5.8 5.6 5.3 5.4 5.9 6.1 6.0 Glycemic index 54.6 54.1 53.7 53.2 52.5 54.1 53.7 53.3 52.6 Processed meat (servings/day) 0.2 0.2 0.2 0.2 0.3 0.2 0.2 0.2 0.2 Sugar-sweetened soft drinks (servings/day) 0.4 0.3 0.3 0.2 0.2 0.3 0.2 0.2 0.2 High-fat dairy (servings/day) 0.8 0.9 1.0 1.1 1.2 0.9 1.0 0.9 1.0 Low-fat dairy (servings/day) 1.4 1.4 1.3 1.3 1.2 1.3 1.5 1.5 1.5 Tea (cups/day) 0.8 0.8 0.6 0.5 0.5 0.8 0.6 0.6 0.6 Decaffeinated coffee (cups/day) 0.3 0.5 0.4 0.3 0.2 Caffeinated coffee (cups/day) 1.2 1.4 1.1 1.0 Magnesium (g/day) 302 312 318 327 344 307 324 335 346 Caffeine (mg/day) 80 118 204 415 747 253 249 205 198 Data are means, unless otherwise indicated. Data, except age, were directly standardized to the age distribution of entire cohort. MET, metabolic equivalent, P:S ratio, ratio of polyunsaturated and saturated fat intake. Coffee and type 2 diabetes 400 DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006
  • 4. of follow-up. Furthermore, the extensive information on potential confounders al- lowed us to examine confounding in de- tail. Self-reported diabetes was confirmed by a supplementary questionnaire, and a validation study of this method to assess type 2 diabetes in older nurses using med- ical records indicated that reporting of di- abetes is accurate for U.S. women of this profession (18). Because screening for blood glucose was not feasible given the size of the cohort, some underdiagnosis of diabetes is likely. However, compared with the general population, the degree of underdiagnosis was probably smaller in this cohort of nurses with ready access to medical care. Moreover, underascertain- ment of cases, if not associated with expo- sure, would not be expected to affect the RR estimates (22). Dietary validation studies have indicated that the frequency of coffee consumption reported on a food frequency questionnaire is highly repro- ducible and agrees well with assessments using diet records (15). Although be- tween-person variation in cup size and strength of the coffee brew have probably contributed to some misclassification with regard to the exposure to relevant coffee constituents, this would have weakened rather than strengthened the observed associations between coffee consumption and risk of type 2 diabetes. This study agrees with previous find- ings from a meta-analysis of cohort stud- ies (1). The summary RR of type 2 diabetes was 0.65 (95% CI 0.54–0.78) for six to seven or more cups of coffee per day and 0.72 (0.62–0.83) for four to six cups of coffee per day compared with the reference category (1). In the European studies, coffee consumption was much higher than in the current population, and few participants did not consume cof- fee. As a result, the lower range could be studied less well, but three to four cups of coffee per day was still associated with a lower risk compared with two or fewer cups per day (1). In previous U.S. studies, consumption of four to five cups of coffee per day, but not of one to three cups per day, was associated with a lower risk of type 2 diabetes compared with no coffee consumption (14). The stronger inverse Table 2—Relative risk of type 2 diabetes according to coffee and tea consumption and caffeine intake Categories of intake P value for trend No cups per day Less than one cup per day One cup per day Two to three cups per day Four or more cups per day Total coffee Median (cups/day) 0 0.43 1.2 2.5 4.6 n (cases) 479 280 199 227 78 Person-years 235,047 155,431 140,041 253,351 82,248 Age-adjusted RR 1 0.82 (0.71–0.95) 0.59 (0.50–0.70) 0.36 (0.31–0.43) 0.39 (0.30–0.49) Ͻ0.0001 Multivariate RR* 1 0.93 (0.80–1.09) 0.87 (0.73–1.03) 0.58 (0.49–0.68) 0.53 (0.41–0.68) Ͻ0.0001 Caffeinated coffee Median (cups/day) 0 0.40 1.0 2.5 4.5 n (cases) 549 285 184 185 60 Person-years 291,336 166,146 139,048 208,945 60,643 Age-adjusted RR 1 0.81 (0.71–0.94) 0.60 (0.51–0.71) 0.41 (0.34–0.48) 0.48 (0.36–0.62) Ͻ0.0001 Multivariate RR 1 1.00 (0.86–1.17) 0.89 (0.75–1.07) 0.62 (0.52–0.74) 0.61 (0.46–0.81) Ͻ0.0001 Decaffeinated coffee Median (cups/day) 0 0.14 1.0 2.5 n (cases) 841 313 77 32 Person-years 503,799 253,866 65,122 43,332 Age-adjusted RR 1 0.62 (0.55–0.71) 0.58 (0.46–0.73) 0.39 (0.27–0.55) 0.0001 Multivariate RR 1 0.86 (0.74–0.99) 0.87 (0.68–1.11) 0.52 (0.36–0.74) 0.005 Tea Median (cups/day) 0 0.21 1.0 2.5 4.5 n (cases) 271 586 222 142 42 Person-years 213,433 415,827 123,772 89,878 23,209 Age-adjusted RR 1 0.90 (0.78–1.05) 1.18 (0.99–1.41) 1.07 (0.87–1.31) 1.32 (0.95–1.83) 0.005 Multivariate RR 1 0.97 (0.83–1.12) 1.17 (0.97–1.40) 0.98 (0.79–1.20) 0.88 (0.64–1.23) 0.81 Caffeine Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5 Median (mg/day) 22 93 180 341 528 n (cases) 281 308 291 218 165 Person-years 173,758 173,430 172,858 172,867 173,206 Age-adjusted RR 1 1.05 (0.89–1.23) 0.97 (0.82–1.14) 0.67 (0.56–0.80) 0.51 (0.42–0.62) Ͻ0.0001 Multivariate RR 1 0.88 (0.75–1.04) 0.89 (0.75–1.05) 0.74 (0.62–0.89) 0.55 (0.45–0.67) Ͻ0.0001 Data are RR (95% CI), unless otherwise indicated. *Adjusted for age (5-year categories), smoking status (never, past, and current), BMI (13 categories), physical activity (quintiles of metabolic equivalent hours per week), alcohol consumption (0, 0.1–4.9, 5.0–9.9, or Ն10 g/day), use of hormone replacement therapy (ever or never), oral contraceptive use (never, past, or current), family history of type 2 diabetes (yes/no), history of hypertension (yes/no), history of hypercholesterolemia (yes/no), consumption of sugar-sweetened soft drinks (4 categories), consumption of punch (4 categories), and quintiles of processed meat consumption, the polyunsaturated-to-saturated fat intake ratio, total energy intake, the glycemic index, and cereal fiber intake. Caffeinated coffee consumption and decaffeinated coffee consumption were simultaneously included in the multivariate model, and the multivariate model for tea included coffee consumption. van Dam and Associates DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006 401
  • 5. association between coffee consumption and risk of type 2 diabetes in the current study may have been related to the more recent start of the study, possibly reflect- ing secular changes in brew strength or cup size in the U.S., or the younger age of the participants. In a recent prospective analysis of National Health and Nutrition Examination Survey data, decaffeinated coffee consumption was associated with a lower risk of type 2 diabetes only in younger participants (aged Յ60 years) (3). However, individuals may decide to switch from caffeinated to decaffeinated coffee because of health-related condi- tions. This could weaken the association between decaffeinated coffee consump- tion and risk of type 2 diabetes, and this bias is more likely to occur in older and less healthy populations than in younger populations. Caffeine has acutely reduced insulin sensitivity in short-term intervention studies (9–11). However, whether this ef- fect pertains to long-term coffee con- sumption is unclear because other components of coffee may modify this ef- fect and because tolerance may develop (23). The similar findings for caffeinated and decaffeinated coffee in our study sug- gest that the detrimental acute effect of caffeine on insulin sensitivity may not substantially affect the relation between long-term caffeinated coffee consumption and incidence of type 2 diabetes. Based on animal studies, beneficial effects of caf- feine on insulin sensitivity have also been suggested (12). We observed an inverse association between caffeine intake and risk of type 2 diabetes, but further analy- ses suggested that this association may have been a result of confounding by cof- fee consumption. The inverse association between decaffeinated coffee consump- tion and risk of type 2 diabetes in the cur- rent study and in three other U.S. cohorts (3,14) also supports the hypothesis that coffee components other than caffeine may reduce risk of type 2 diabetes. In ad- dition, decaffeinated coffee consumption was associated with lower C-peptide con- centrations in U.S. women, which sug- gests a beneficial effect on insulin sensitivity (24). Furthermore, beneficial effects of coffee components other than caffeine on glucose metabolism are bio- logically plausible. Coffee has strong antioxidant properties in vivo (25), chlo- rogenic acid may delay glucose absorp- tion in the intestine (26), and intake of coffee components improved glucose me- tabolism in rats (4–8). Our observation that instant coffee consumption was also inversely associ- ated with risk of type 2 diabetes is plausi- ble as the composition is similar to drip- filtered coffee (27,28). In a previous U.S. study, instant coffee was not associated with risk of type 2 diabetes (3). However, the number of participants with substan- tial instant coffee consumption in that smaller study may have been too low to have adequate power to detect an associ- ation with risk of type 2 diabetes. Simi- larly, consumption of espresso/perculator coffee was not common enough in our study to have sufficient power to exclude an inverse association with risk of type 2 diabetes. Results of one previous study suggested that higher consumption of un- filtered Scandinavian pot-boiled coffee is associated with a lower risk of type 2 di- abetes (13). However, high consumption of unfiltered coffee increases plasma LDL concentrations (29) and may thus in- crease risk of coronary heart disease. In this population of younger and middle-aged U.S. women, consumption of two or more cups of coffee was associ- ated with a substantially lower risk of type 2 diabetes. This finding suggests that the inverse association between coffee con- sumption and risk of type 2 diabetes is not limited to very high levels of coffee con- sumption. However, given the interna- tional variation in strength of the coffee brew, cup size, natural composition of coffee beans, and processing of coffee, our findings for specific numbers of cups may not be directly generalizable to other pop- ulations. Possible detrimental effects of frequent use of high-caloric additions to coffee on energy balance and body weight should also be considered. Weight man- agement and increased physical activity, which can lower risk of multiple chronic diseases, should be the mainstay of pre- ventive efforts to reduce incidence of type 2 diabetes. For individual choices regard- ing coffee consumption, the potential ef- fects of coffee consumption on risk of type 2 diabetes may be relevant but should be considered in combination with other health effects of coffee. Consumption of decaffeinated coffee may reduce risk of type 2 diabetes, while avoiding potential Table 3—Risk of type 2 diabetes by combinations of total coffee consumption and caffeine intake Quintiles of caffeine intake Q1–Q2 Q3 Q4–Q5 Total coffee less than one cup per day Median coffee consumption (cups/day) 0 0 0 Median caffeine intake (mg/day) 52 173 287 Number of cases/person-years 533/292,658 184/79,183 42/18,638 RR (95% CI) 1 (ref.) 1.02 (0.86–1.21) 0.85 (0.62–1.16) Total coffee 1.0–1.9 cups/day Median coffee consumption (cups/day) 1.1 1.1 1.6 Median caffeine intake (mg/day) 74 186 297 Number of cases/person-years 38/31,550 87/68,142 74/40,348 RR (95% CI) 0.89 (0.63–1.23) 0.88 (0.70–1.10) 0.90 (0.70–1.16) Total coffee two or more cups per day Median coffee consumption (cups/day) 2.5 2.5 2.6 Median caffeine intake (mg/day) 51 189 430 Number of cases/person-years 18/22,979 20/25,533 267/287,087 RR (95% CI) 0.52 (0.32–0.83) 0.50 (0.32–0.79) 0.59 (0.50–0.69) RRs were multivariate adjusted as described in the legend of Table 2. Coffee and type 2 diabetes 402 DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006
  • 6. detrimental effects on blood pressure (30) and sleep quality. Acknowledgments— This study was funded by research grants CA50385 and DK58845 from the National Institutes of Health. We are indebted to the participants of the Nurses’ Health Study II for their continued co- operation and to Ms. E. Konstantis for the fol- low-up of type 2 diabetes. References 1. Van Dam RM, Hu FB: Coffee consump- tion and risk of type 2 diabetes: a system- atic review. JAMA 294:97–104, 2005 2. Faerch K, Lau C, Tetens I, Pedersen OB, Jorgensen T, Borch-Johnsen K, Glumer C: A statistical approach based on substitu- tion of macronutrients provides addi- tional information to models analyzing single dietary factors in relation to type 2 diabetes in Danish adults: the Inter99 study. J Nutr 135:1177–1182, 2005 3. Greenberg JA, Axen KV, Schnoll R, Boozer CN: Coffee, tea and diabetes: the role of weight loss and caffeine. Int J Obes Relat Metab Disord 29:1121–1129, 2005 4. Andrade-Cetto A, Wiedenfeld H: Hypo- glycemic effect of Cecropia obtusifolia on streptozotocin diabetic rats. J Ethnophar- macol 78:145–149, 2001 5. Rodriguez de Sotillo DV, Hadley M: Chlo- rogenic acid modifies plasma and liver concentrations of: cholesterol, triacylglyc- erol, and minerals in (fa/fa) Zucker rats. J Nutr Biochem 13:717–726, 2002 6. Shearer J, Farah A, de Paulis T, Bracy DP, Pencek RR, Graham TE, Wasserman DH: Quinides of roasted coffee enhance insu- lin action in conscious rats. J Nutr 133: 3529–3532, 2003 7. Mishkinsky J, Joseph B, Sulman FG: Hy- poglycaemic effect of trigonelline. Lancet 16:1311–1312, 1967 8. Prasad K, Mantha SV, Muir AD, Westcott ND: Protective effect of secoisolaricires- inol diglucoside against streptozotocin- induced diabetes and its mechanism. Mol Cell Biochem 206:141–149, 2000 9. Keijzers GB, De Galan BE, Tack CJ, Smits P: Caffeine can decrease insulin sensitivity in humans. Diabetes Care 25:364–369, 2002 10. Greer F, Hudson R, Ross R, Graham T: Caffeine ingestion decreases glucose dis- posal during a hyperinsulinemic-euglyce- mic clamp in sedentary humans. Diabetes 50:2349–2354, 2001 11. Thong FS, Derave W, Kiens B, Graham TE, Urso B, Wojtaszewski JF, Hansen BF, Richter EA: Caffeine-induced impairment of insulin action but not insulin signaling in human skeletal muscle is reduced by exercise. Diabetes 51:583–590, 2002 12. Yoshioka K, Kogure A, Yoshida T, Yo- shikawa T: Coffee consumption and risk of type 2 diabetes mellitus (Letter). Lancet 360:703, 2002 13. Tuomilehto J, Hu G, Bidel S, Lindstrom J, Jousilahti P: Coffee consumption and risk of type 2 diabetes mellitus among middle- aged Finnish men and women. JAMA 291:1213–1219, 2004 14. Salazar-Martinez E, Willett WC, Ascherio A, Manson JE, Leitzmann MF, Stampfer MJ, Hu FB: Coffee consumption and risk for type 2 diabetes mellitus. Ann Intern Med 140:1–8, 2004 15. Salvini S, Hunter DJ, Sampson L, Stampfer MJ, Colditz GA, Rosner B, Wil- lett WC: Food-based validation of a di- etary questionnaire: the effects of week- to-week variation in food consumption. Int J Epidemiol 18:858–867, 1989 16. National Diabetes Data Group: Classifica- tion of diabetes mellitus and other catego- ries of glucose intolerance. Diabetes 28: 1039–1057, 1979 17. Expert Committee on the Diagnosis and Classification of Diabetes Mellitus: Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 20:1183–1197, 1997 18. Manson JE, Rimm EB, Stampfer MJ, Cold- itz GA, Willett WC, Krolewski AS, Rosner B, Hennekens CH, Speizer FE: Physical activity and incidence of non-insulin-de- pendent diabetes mellitus in women. Lan- cet 338:774–778, 1991 19. Wolf AM, Hunter DJ, Colditz GA, Man- son JE, Stampfer MJ, Corsano KA, Rosner B, Kriska A, Willett WC: Reproducibility and validity of a self-administered physi- cal activity questionnaire. Int J Epidemiol 23:991–999, 1994 20. Willett W, Stampfer MJ, Bain C, Lipnick R, Speizer FE, Rosner B, Cramer D, Hen- nekens CH: Cigarette smoking, relative weight, and menopause. Am J Epidemiol 117:651–658, 1983 21. Hu FB, Stampfer MJ, Rimm E, Ascherio A, Rosner BA, Spiegelman D, Willett WC: Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling re- peated dietary measurements. Am J Epide- miol 149:531–540, 1999 22. Rothman K, Greenland S: Precision and validity in epidemiological studies. In Modern Epidemiology. 2nd ed. Rothman K, Greenland S, Eds. Philadelphia, Lippin- cott-Raven, 1998, p. 115–134 23. Robertson D, Wade D, Workman R, Woosley RL, Oates JA: Tolerance to the humoral and hemodynamic effects of caf- feine in man. J Clin Invest 67:1111–1117, 1981 24. Wu T, Willett WC, Hankinson SE, Gio- vannucci E: Caffeinated coffee, decaffein- ated coffee, and caffeine in relation to plasma C-peptide levels, a marker of in- sulin secretion, in U.S. women. Diabetes Care 28:1390–1396, 2005 25. Svilaas A, Sakhi AK, Andersen LF, Svilaas T, Strom EC, Jacobs DR Jr, Ose L, Blom- hoff R: Intakes of antioxidants in coffee, wine, and vegetables are correlated with plasma carotenoids in humans. J Nutr 134:562–567, 2004 26. McCarty MF: A chlorogenic acid-induced increase in GLP-1 production may medi- ate the impact of heavy coffee consump- tion on diabetes risk. Med Hypotheses 64: 848–853, 2005 27. US Department of Agriculture Agricul- tural Research Service: USDA National Nutrient Database for Standard Reference, Release 18. Nutrient Data Laboratory Home Page, 2005. Available from http:// www.nal.usda.gov/fnic/foodcomp. Accessed 18 November 2005 28. Clifford MN: Chlorogenic acids and other cinnamates: nature, occurrence and di- etary burden. J Sci Food Agric 79:362–372, 1999 29. Jee SH, He J, Appel LJ, Whelton PK, Suh I, Klag MJ: Coffee consumption and serum lipids: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol 153:353–362, 2001 30. Noordzij M, Uiterwaal CS, Arends LR, Kok FJ, Grobbee DE, Geleijnse JM: Blood pressure response to chronic intake of coffee and caffeine: a meta-analysis of ran- domized controlled trials. J Hypertens 23: 921–928, 2005 van Dam and Associates DIABETES CARE, VOLUME 29, NUMBER 2, FEBRUARY 2006 403