valuesglucosenormal

🔥+ valuesglucosenormal 10 Jul 2020 Insulin resistance is a central feature of Diabetes mellitus type 2 ... The intervention comprises two days of oatmeal (third and fourth day) within ...

valuesglucosenormal Symptoms develop gradually and can cause serious health complications over time. The condition can be managed with lifestyle changes and medication.Once the symptoms appear, a blood test generally will reveal very high blood glucose. Type 2 diabetes can be detected easily during a routine screening exam ...

is the sugar in milk bad for you
Skip to main content

valuesglucosenormal straight talk (🔴 overview) | valuesglucosenormal educationhow to valuesglucosenormal for Advanced Search

Main menu

Search

Cardiovascular and Metabolic Risk

A prospective cohort study in younger and middle-aged U.S. women

  1. Rob M. van Damvaluesglucosenormal questions (👍 neuropathy) | valuesglucosenormal virushow to valuesglucosenormal for , PHD12,
  2. Walter C. Willett, MD134,
  3. JoAnn E. Manson, MD345 and
  4. Frank B. Hu, MD134
  1. 1Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
  2. 2Department of Nutrition and Health, Faculty of Earth and Life Sciences, Vrije Universiteit of Amsterdam, Amsterdam, the Netherlands
  3. 3Department of Epidemiology, Harvard School of Public Health, Boston Massachusetts
  4. 4Channing Laboratory, Harvard Medical School and Brigham and Women’s Hospital, Boston, Massachusetts
  5. 5Division of Preventive Medicine, Harvard Medical School and Brigham and Women’s Hospital, Boston, Massachusetts
  1. Address correspondence to Rob M. van Dam, Department of Nutrition, Harvard School of Public Health, 665 Huntington Ave., Boston, MA 02115. E-mail: rvandam{at}hsph.harvard.edu
Diabetes Care valuesglucosenormal what to eat (🔥 with hyperglycemia icd 10) | valuesglucosenormal pathophyshow to valuesglucosenormal for 2006 Feb; 29 for 1 last update 10 Jul 2020 (2): (2): for 1 last update 10 Jul 2020 398-403. 398-403. valuesglucosenormal research (⭐️ insulin) | valuesglucosenormal feethow to valuesglucosenormal for https://doi.org/10.2337/diacare.29.02.06.dc05-1512
the 1 last update 10 Jul 2020

A prospective cohort study in younger and middle-aged U.S. women

Abstract

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.

valuesglucosenormal januvia (🔥 ketones in urine) | valuesglucosenormal kidneyhow to valuesglucosenormal for 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 the 1 last update 10 Jul 2020 documented 1,263 incident cases of confirmed type 2 diabetes between 1991 and 2001.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 <0.0001). 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 = 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.

High coffee consumption has been associated with better glucose tolerance and a substantially lower risk of type 2 diabetes in diverse populations in Europe, the U.S., and Japan (13). However, it remains unclear what coffee components may be responsible for the apparent beneficial effect of coffee on glucose metabolism. In rats, intakes of the coffee components chlorogenic acid (4, 5), quinic acid (6), trigonelline (7), and the lignan secoisolariciresinol (8) improved glucose metabolism. Short-term metabolic studies in humans have shown that caffeine can acutely lower insulin sensitivity (911). However, the long-term effects of caffeine intake on glucose metabolism are unknown, and beneficial effects on insulin sensitivity through increased expression of uncoupling proteins 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 various methods of coffee preparation in relation to risk of type 2 diabetes are sparse (3, 13, 14). In addition, in previous studies consumption of five or more cups of coffee 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 examined 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. Information has been collected using biennial-mailed questionnaires, and response rates have been ∼90% 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 >70 items were left blank or if the reported total energy intake was implausible (<500 kcal/day or >3,500 kcal/day); if they had a history of diabetes (including gestational diabetes), cancer (except nonmelanoma skin cancer), or cardiovascular disease at baseline; or if they had not provided data on physical 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.

valuesglucosenormal wounds (👍 with keto) | valuesglucosenormal naturallyhow to valuesglucosenormal for Assessment of coffee consumption

Validated dietary questionnaires were sent to the Nurses’ Health Study participants in 1991, 1995, and 1999. Participants were asked how often on average during the previous year they had consumed caffeinated and decaffeinated coffee (“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 participants could choose from nine responses (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 perculator,” and “no usual method/don’t know/don’t use.” We assessed the total intake 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 Agriculture food composition data supplemented 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 caffeinated beverages assessed with food frequency questionnaire and with four 1-week diet records (coffee, r = 0.78; tea, r = 0.93; and caffeinated sodas, r = 0.85) (15).

Assessment of type 2 diabetes

Women who reported a diagnosis of diabetes on a biennial follow-up questionnaire were sent a supplementary questionnaire asking about diagnosis and treatment of diabetes and history of ketoacidosis 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 required at least one of the following for cases that were diagnosed through 1997: 1) an elevated glucose concentration (fasting plasma glucose ≥7.8 mmol/l [140 mg/dl], random plasma glucose ≥11.1 mmol/l [200 mg/dl], and/or plasma glucose ≥2 h after an oral glucose load ≥11.1 mmol/l) plus at least one classic symptom (excessive thirst, polyuria, weight loss, or hunger), 2) no symptoms but elevated plasma glucose concentrations 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 requested information about age; weight and height; smoking status; physical activity; history of diabetes in first-degree relatives; use of postmenopausal hormone therapy; use of oral contraceptives; and personal history of diabetes, cardiovascular diseases, and cancers. This information 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 assessment 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 periods were used to examine the association between coffee consumption and risk of type 2 diabetes. To reduce within-subject variation and to best represent long-term exposure, we used the cumulative 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 individuals developed cancer (except nonmelanoma 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 covariates 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 examined the association between coffee consumption and risk of type 2 diabetes for women who used a certain method of preparing coffee, we excluded coffee consumers who used other methods or did not report what method they used. All reported P values were two tailed, and P values <0.05 were considered statistically significant. All analyses were performed 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 consumption of caffeinated and decaffeinated coffee and caffeine intake are presented in Table 1. Higher caffeinated coffee consumption, but not decaffeinated coffee consumption, was strongly associated with cigarette smoking and higher alcohol consumption. Both higher caffeinated and higher decaffeinated coffee consumption were associated with older age and lower consumption of sugar-sweetened soft drinks and tea. Women who did not consume caffeinated or decaffeinated coffee 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, −0.05 for decaffeinated coffee, and 0.09 for tea consumption.

Higher coffee consumption was associated with a lower risk of type 2 diabetes (Table 2). Adjustment for potential confounders weakened this association, mainly due to adjustment for BMI and alcohol 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 consumption, or sucrose intake; adjustment for BMI as a continuous variable; use of baseline coffee consumption instead of cumulative updated coffee consumption; use of baseline coffee consumption with exclusion of the first 4 years of follow-up; and exclusion of women who developed gestational diabetes during follow-up did not substantially change the association between 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 <0.0001). Both higher caffeinated coffee and higher decaffeinated coffee consumption were associated with a lower risk of type 2 diabetes (Table 2). Tea consumption was not substantially associated with risk of type 2 diabetes after adjustment for potential confounders (0.88 [0.64–1.23] for four or more versus no cups per day; P for trend = 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 examination of cross-categories of coffee and caffeine intake in relation to risk of type 2 diabetes. Higher total coffee consumption was associated with a lower risk of type 2 diabetes in each category of caffeine intake. In contrast, higher caffeine intake was not substantially associated with risk of type 2 diabetes within categories of total coffee consumption (Table 3). We also included total coffee consumption and caffeine intake simultaneously in the multivariate model as continuous variables. The association between total coffee consumption and risk of type 2 diabetes remained similar: the RR for a one-cup increment in consumption was 0.86 (95% CI 0.82–0.89) after multivariate adjustment and 0.84 (0.79–0.91) after further adjustment for caffeine intake. In contrast, the association between caffeine intake and risk of type 2 diabetes disappeared after adjustment for coffee consumption (1.01 [0.96–1.07] for a 100 mg per day higher intake). Consistent with this observation, the strength of the inverse association with risk of type 2 diabetes was similar for decaffeinated (multivariate RR 0.81 [95% CI 0.73–0.90]) and caffeinated coffee consumption (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 multivariate RR of type 2 diabetes associated with a one-cup increment in coffee consumption per day was similar for filtered coffee (RR 0.86 [95% CI 0.82–0.90]) and instant coffee (0.83 [0.74–0.93]). In contrast, 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 (number 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 baseline, consumption of two or more cups of coffee per day was associated with a substantially lower risk of type 2 diabetes during 10 years of follow-up. This association was similar for caffeinated and decaffeinated coffee and for filtered and instant coffee. The inverse association between coffee consumption and risk of type 2 diabetes was independent of caffeine intake.

The prospective design and high rate of follow-up in this study minimizes the possibility of recall bias or bias due to loss of follow-up. Furthermore, the extensive information on potential confounders allowed us to examine confounding in detail. 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 medical records indicated that reporting of diabetes 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, underascertainment of cases, if not associated with exposure, 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 reproducible and agrees well with assessments using diet records (15). Although between-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 findings from a meta-analysis of cohort studies (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 coffee. 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 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 reflecting 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 ≤60 years) (3). However, individuals may decide to switch from caffeinated to decaffeinated coffee because of health-related conditions. This could weaken the association between decaffeinated coffee consumption 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 (911). However, whether this effect pertains to long-term coffee consumption is unclear because other components of coffee may modify this effect and because tolerance may develop (23). The similar findings for caffeinated and decaffeinated coffee in our study suggest 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 caffeine on insulin sensitivity have also been suggested (12). We observed an inverse association between caffeine intake and risk of type 2 diabetes, but further analyses suggested that this association may have been a result of confounding by coffee consumption. The inverse association between decaffeinated coffee consumption and risk of type 2 diabetes in the current 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 addition, decaffeinated coffee consumption was associated with lower C-peptide concentrations in U.S. women, which suggests a beneficial effect on insulin sensitivity (24). Furthermore, beneficial effects of coffee components other than caffeine on glucose metabolism are biologically plausible. Coffee has strong antioxidant properties in vivo (25), chlorogenic acid may delay glucose absorption in the intestine (26), and intake of coffee components improved glucose metabolism in rats (48).

Our observation that instant coffee consumption was also inversely associated with risk of type 2 diabetes is plausible 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 substantial instant coffee consumption in that smaller study may have been too low to have adequate power to detect an association with risk of type 2 diabetes. Similarly, 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 unfiltered Scandinavian pot-boiled coffee is associated with a lower risk of type 2 diabetes (13). However, high consumption of unfiltered coffee increases plasma LDL concentrations (29) and may thus increase 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 associated with a substantially lower risk of type 2 diabetes. This finding suggests that the inverse association between coffee consumption and risk of type 2 diabetes is not limited to very high levels of coffee consumption. However, given the international 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 populations. Possible detrimental effects of frequent use of high-caloric additions to coffee on energy balance and body weight should also be considered. Weight management and increased physical activity, which can lower risk of multiple chronic diseases, should be the mainstay of preventive efforts to reduce incidence of type 2 diabetes. For individual choices regarding coffee consumption, the potential effects 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 detrimental effects on blood pressure (30) and sleep quality.

View the 1 last update 10 Jul 2020 this table:View this table:
Table 1—

valuesglucosenormal nature review (☑ list) | valuesglucosenormal teenshow to valuesglucosenormal for Baseline characteristics of the study population by level of caffeinated and decaffeinated coffee consumption

View this table:
Table 2—

Relative risk of type 2 diabetes the 1 last update 10 Jul 2020 according to coffee and tea consumption and caffeine intakeRelative risk of type 2 diabetes according to coffee and tea consumption and caffeine intake

View this table:
Table 3—

Risk of type 2 diabetes by combinations of total coffee consumption and caffeine intake

Acknowledgments

This study was funded by research grants CA50385 and the 1 last update 10 Jul 2020 DK58845 from the National Institutes of Health.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 cooperation and to Ms. E. Konstantis for the follow-up of type 2 diabetes.

Footnotes

  • A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

    • Accepted October 30, 2005.
    • Received August 12, 2005.
  • DIABETES CARE

References

  1. Van Dam RM, Hu FB: Coffee consumption and risk of type 2 diabetes: a systematic review. valuesglucosenormal symptoms in women (☑ teenager) | valuesglucosenormal and covid-19how to valuesglucosenormal for the 1 last update 10 Jul 2020 JAMAJAMA 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 substitution of macronutrients provides additional information to models analyzing single dietary factors in relation to type 2 diabetes in Danish adults: the Inter99 study. J Nutr for 1 last update 10 Jul 2020 135135:1177–1182, 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 for 1 last update 10 Jul 2020 2929:1121–1129, 2005
  4. Andrade-Cetto A, Wiedenfeld H: Hypoglycemic effect of Cecropia obtusifolia on streptozotocin diabetic rats. J Ethnopharmacol valuesglucosenormal symptoms (🔴 symptoms in men) | valuesglucosenormal prevalencehow to valuesglucosenormal for 78:145–149, 2001
  5. Rodriguez de Sotillo DV, Hadley M: Chlorogenic acid modifies plasma and liver concentrations of: cholesterol, triacylglycerol, and minerals in (fa/fa) Zucker rats. J Nutr Biochem valuesglucosenormal undiagnosed (👍 overweight) | valuesglucosenormal treathow to valuesglucosenormal for the 1 last update 10 Jul 2020 1313:717–726, 2002
  6. Shearer J, Farah A, de Paulis T, Bracy DP, Pencek RR, Graham TE, Wasserman DH: Quinides of roasted coffee enhance insulin action in conscious rats. J Nutr 133:3529–3532, 2003
  7. Mishkinsky J, Joseph B, Sulman FG: Hypoglycaemic effect of trigonelline. the 1 last update 10 Jul 2020 LancetLancet 16:1311–1312, 1967
  8. Prasad K, Mantha SV, Muir AD, Westcott ND: Protective effect of secoisolariciresinol 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. valuesglucosenormal paper (⭐️ quick fix) | valuesglucosenormal reddithow to valuesglucosenormal for Diabetes Care 25:364–369, 2002
  10. Greer F, Hudson R, Ross R, Graham T: Caffeine ingestion decreases glucose disposal during a hyperinsulinemic-euglycemic clamp in sedentary humans. Diabetes 50:2349–2354, the 1 last update 10 Jul 2020 20012001
  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: for 1 last update 10 Jul 2020 583583–590, 2002
  12. Yoshioka K, Kogure A, Yoshida T, Yoshikawa T: Coffee consumption and risk of type 2 diabetes mellitus (Letter). for 1 last update 10 Jul 2020 LancetLancet 360:valuesglucosenormal how do you get it (⭐️ ominous octet) | valuesglucosenormal wikihow to valuesglucosenormal for 703, the 1 last update 10 Jul 2020 20022002
  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 valuesglucosenormal sugar level (🔴 with fasting) | valuesglucosenormal how do you get ithow to valuesglucosenormal for 140:1–8, 2004
  15. Salvini S, Hunter DJ, Sampson L, Stampfer MJ, Colditz GA, Rosner B, Willett WC: Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption. Int J Epidemiol 18:858–867, 1989
  16. National Diabetes Data Group: Classification of diabetes mellitus and other categories of glucose intolerance. the 1 last update 10 Jul 2020 DiabetesDiabetes 28:1039–1057, valuesglucosenormal immune system (🔴 lawsuit) | valuesglucosenormal good foodhow to valuesglucosenormal for 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, Colditz GA, Willett WC, Krolewski AS, Rosner B, Hennekens CH, Speizer FE: Physical activity and incidence of non-insulin-dependent diabetes mellitus in women. Lancet the 1 last update 10 Jul 2020 338338: the 1 last update 10 Jul 2020 774774–778, 1991
  19. Wolf AM, Hunter DJ, Colditz GA, Manson JE, Stampfer MJ, Corsano KA, Rosner B, Kriska A, Willett WC: Reproducibility and validity of a self-administered physical activity questionnaire. Int J Epidemiol 23: the 1 last update 10 Jul 2020 991991–999, 1994
  20. Willett W, Stampfer MJ, Bain C, Lipnick R, Speizer FE, Rosner B, Cramer D, Hennekens CH: Cigarette smoking, relative weight, and menopause. Am J Epidemiol 117:valuesglucosenormal definition (🔥 lunch) | valuesglucosenormal wikihow to valuesglucosenormal for 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 repeated dietary measurements. Am J Epidemiol valuesglucosenormal new zealand statistics (👍 other names) | valuesglucosenormal youth statistics in usahow to valuesglucosenormal for 149:531–540, 1999
  22. Rothman K, Greenland S: Precision and validity in epidemiological studies. In Modern for 1 last update 10 Jul 2020 EpidemiologyModern Epidemiology. 2nd ed. Rothman K, Greenland S, Eds. Philadelphia, Lippincott-Raven, 1998, p. valuesglucosenormal treatments lexington (🔴 symptoms nhs) | valuesglucosenormal fruithow to valuesglucosenormal for 115–134
  23. Robertson D, Wade D, Workman R, Woosley RL, Oates JA: Tolerance to the humoral and hemodynamic effects of caffeine in man. J Clin Invest 67: the 1 last update 10 Jul 2020 11111111–1117, 1981
  24. Wu T, Willett WC, Hankinson SE, Giovannucci E: Caffeinated coffee, decaffeinated coffee, and caffeine in relation to plasma C-peptide levels, a marker of insulin 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, Blomhoff R: Intakes of antioxidants in coffee, wine, and vegetables are correlated with plasma carotenoids in humans. J Nutr the 1 last update 10 Jul 2020 134134:562–567, 2004
  26. McCarty MF: A chlorogenic acid-induced increase in GLP-1 production may mediate the impact of heavy coffee consumption on diabetes risk. Med Hypotheses 64:848–853, 2005
  27. US Department of Agriculture Agricultural Research Service: USDA National Nutrient Database for Standard Reference, Release 18. Nutrient Data Laboratory Home Page, the 1 last update 10 Jul 2020 20052005. Available from http://www.nal.usda.gov/fnic/foodcomp. Accessed 18 November 2005
  28. Clifford MN: Chlorogenic acids and other cinnamates: nature, occurrence and dietary 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 randomized controlled trials. J Hypertens 23:921–928, 2005
valuesglucosenormal remission (⭐️ and coronavirus) | valuesglucosenormal mellitushow to valuesglucosenormal for
View Abstract

In this Issue

February 2006, 29(2)
Sign In to Email Alerts with your Email Address

Thank you for your interest in spreading the word about Diabetes Care.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Coffee, Caffeine, and Risk of Type 2 Diabetes
(Your Name) has forwarded a page to you from Diabetes Care
(Your Name) thought you would like to see this page from the Diabetes Care web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Coffee, Caffeine, and Risk of Type 2 Diabetes
Rob the 1 last update 10 Jul 2020 M.Rob M. van Dam, Walter C. Willett, JoAnn E. Manson, Frank B. valuesglucosenormal video (🔴 oatmeal) | valuesglucosenormal immune systemhow to valuesglucosenormal for Hu
Diabetes Care Feb 2006, 29 (2) 398-403; DOI: 10.2337/diacare.29.02.06.dc05-1512

Coffee, Caffeine, and Risk of Type 2 Diabetes
valuesglucosenormal physiology (☑ how do you get it) | valuesglucosenormal expected findingshow to valuesglucosenormal for Rob M. valuesglucosenormal how do you get it (🔥 unspecified) | valuesglucosenormal compared to type 1how to valuesglucosenormal for van Dam, valuesglucosenormal patho (☑ patho) | valuesglucosenormal natural curehow to valuesglucosenormal for Walter C. Willett, JoAnn E. valuesglucosenormal januvia (🔴 juvenile) | valuesglucosenormal ketones in urinehow to valuesglucosenormal for Manson, valuesglucosenormal natural (☑ diet plan printable) | valuesglucosenormal vegetarian diethow to valuesglucosenormal for Frank B. Hu
valuesglucosenormal natural (☑ journal articles) | valuesglucosenormal coronavirus riskhow to valuesglucosenormal for Diabetes Care Feb 2006, 29 (2) 398-403; DOI: 10.2337/diacare.29.02.06.dc05-1512