Abstract
Few studies exist regarding the effects of the Dietary Approaches to Stop Hypertension (DASH) diet on novel cardiovascular risk factors among type 2 diabetic patients. We evaluated the effects of the DASH eating pattern on C-reactive protein (CRP) level, coagulation abnormalities, and hepatic function tests in type 2 diabetic patients. In this randomized, crossover clinical trial, 31 type 2 diabetic patients consumed a control diet or the DASH diet for 8 wk. The DASH diet was rich in fruits, vegetables, whole grains, and low-fat dairy products and low in saturated fat, total fat, cholesterol, refined grains, and sweets, with a total of 2400 mg/d sodium. The control diet was a standard diet for diabetic patients. There was a 4-wk washout between the 2 trial phases. The main outcome measures were CRP level, coagulation indices, and hepatic function tests. The mean percent change for plasma CRP level was −26.9 ± 3.5% after the DASH diet period and −5.1 ± 3.8% after the control diet period (P = 0.02). Decreases in both alanine aminotransferase and aspartate aminotransferase levels were greater after consuming the DASH diet compared with the control diet (−14.8 ± 3.0% vs −6.6 ± 3.4%; P = 0.001; −29.4 ± 3.7% vs −5.9 ± 1.4%; P = 0.001, respectively). The decrease in the plasma fibrinogen level during the DASH diet period (−11.4 ± 3.6%) was greater than that during the control diet (0.5 ± 3.4%) (P = 0.03). Among diabetic patients, the DASH diet can play an important role in reducing inflammation, plasma levels of fibrinogen, and liver aminotransferases. Future longer term studies are recommended.
Introduction
As many as 80% of patients with type 2 diabetes mellitus will develop and possibly die of macrovascular disease (1, 2). Dyslipidemia and fibrinolytic and coagulation abnormalities play a leading role in increased cardiovascular risk among diabetics (3–5). Serum levels of aminotransferases also are elevated in type 2 diabetic patients and are associated with the development of cardiovascular risk and glycemic control abnormalities (6). There is also a major role for inflammation in the pathogenesis of type 2 diabetes. Furthermore, current evidence suggests that local C-reactive protein (CRP)10 concentrations in diabetic atherosclerotic plaques could be higher than in nondiabetic ones (7).
Therefore, a therapeutic approach that can reduce inflammation and control cardiometabolic risk might be beneficial for diabetic patients (8). Evidence suggests that adherence to a healthy diet has beneficial effects on the management of obesity, type 2 diabetes, and cardiovascular events (9).
The Dietary Approaches to Stop Hypertension (DASH) diet, which encourages the intake of fruits, vegetables, and low-fat dairy products combined with sodium restriction, was developed for hypertensive patients (10). Actually, it is a well-balanced diet that is currently recommended for all adults (11). This diet is high in fiber, antioxidant components, unsaturated fatty acids, and low-fat dairy, which may be important for improved insulin resistance, decreasing the levels of inflammation and metabolic disturbance (12, 13). Previous epidemiological studies found that the DASH eating pattern was associated with lower risk of type 2 diabetes (14), hypertension (15, 16), and coronary heart disease (17, 18). Prior research has also revealed that the DASH diet is beneficial for features of metabolic syndrome (12). Although there are existing trials on the diet’s effects on hypertensive patients (19–21) and we previously assessed the effect of the DASH eating pattern on traditional cardiovascular risk factors among type 2 diabetics (22), we are unaware of studies that have examined the effect of the DASH eating pattern on novel cardiovascular risk factors in type 2 diabetic patients. In the present paper, we assess the effects of DASH on novel cardiovascular risk factors such as CRP, coagulation abnormalities, and tests of hepatic function among type 2 diabetic patients.
Research Design and Methods
Participants.
According to medical records, a total of 60 patients diagnosed with type 2 diabetes at the Shaheed Motahari Hospital of Fooladshahr in Isfahan who had health insurance from the Isfahan Steel Company were eligible for the study. Of the patients invited in 2009, 15 refused and 1 patient no longer met the criteria for type 2 diabetes. In total, 44 patients enrolled. The sample size was calculated based on the formula suggested for cross-over trials (23): n = [(Z1-α/2+Z1-β)2 ⋅ S2]/2Δ2, where α (type 1 error) was 0.05, β (type 2 error) was 0.20, S (the variance of CRP) was 2, and Δ (the difference in mean CRP) was 1. We considered CRP as our principal outcome variable and calculated the mean and variance of CRP: n = [(1.96+1.28)2 ⋅ (2)2] /2 (1)2 = 21 (13). According to the formula, 21 patients were needed for adequate power.
A diagnosis of type 2 diabetes was confirmed if a patient either had fasting plasma glucose ≥ 126 mg/dL (6.3 mmol/L) or was taking oral glucose-lowering agents or insulin (24). Exclusion criteria are provided elsewhere (22). All participants provided informed written consent. This study was approved by the research council and ethics committee of the Isfahan University of Medical Sciences. The facilities for conducting research and biochemical experiments were provided by the Shahid Motahari Hospital of Fooladshahr.
Study procedures.
We used a randomized cross-over design. After a 3-wk run-in, patients were randomly assigned to 8 wk of a control diet or the DASH diet. Group assignments were made using random sequencing generated in SPSS. Because this was a dietary intervention, patients were not blinded.
Measurements were obtained before and after each diet period (baseline and follow-up). During the study period, patients were prescribed the diet and prepared their own meals while living independently but were asked to not change their usual physical activity level. Every month, patients recorded their physical activity for 3 d.
Diets.
We prescribed 2 diets for each patient: a control diet and the DASH diet. The control diet included macronutrient composition of 50–60% carbohydrates, 15–20% protein, <30% total fat, and <5% of energy intake from simple sugars (25). The DASH diet was rich in fruits, vegetables, whole grains, and low-fat dairy products, and low in saturated fat, total fat, cholesterol, refined grains, and sweets. Sodium intake was 2400 mg/d (8), which was based on the Iranian Food Composition Table. We prescribed adding minimal salt [only 1 teaspoon/d (4.6 g/d)] while cooking and insisted on removing table salt. Macronutrient composition did not differ between the DASH and control diets. However, the amount of PUFA was higher in the DASH diet (P < 0.05).
To calculate the energy requirement for each participant, we used equations suggested by the Institute of Medicine, Food and Nutrition Board (26). Diets were individually tailored using an energy count system and an exchange list was given to each patient to suggest substitutions for particular food items and to calculate energy.
Patient adherence was assessed in terms of attendance at monthly visits and by analysis of the 3-d food diaries. We found no significant difference between the prescribed amount and the amount consumed from each of the 5 food groups, as derived from the food record.
Measurements.
Participants were weighed wearing minimal clothing and without shoes. Height was measured in a standing position, without shoes. Waist circumference was measured where the waist was narrowest over light clothing.
Blood samples were collected after 12 h of overnight fasting. Separate tubes of sodium citrate buffers for plasma and serum were centrifuged at 4°C and 500 × g for 10 min. Tests that could be performed immediately were conducted the same day; otherwise, serum and plasma samples were promptly frozen (−20 C◦). Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP) were measured by commercially available enzymatic reagents (Pars Azmoon) on a BT-3000 (Biotechinica) autoanalyzer. High-sensitivity CRP (hs-CRP) ELISA was performed on serum (IBL International). Inter- and intra-assay CV were <5% for all measurements. We used standard and control solutions for all measurements and standard curves were plotted for all of these standardized measurements. The plasma fibrinogen level was measured by using the Clauss method, which quantitatively determines the concentration of fibrinogen by adding thrombin and recording the rate of fibrinogen conversion to fibrin. The plasma D-dimer level was determined by immunometric flow through, which uses a specific monoclonal antibody against D-dimer by using a Nycocord Instrument. The laboratory staff were unaware of the treatment status.
Statistical analysis.
We used General Linear Models (paired t tests) to globally compare means of all variables at the end of the 2 different diet periods with and without adjustment for weight. We calculated the percent change for each variable using the formula (E − B/B)×100, where E was the end of treatment value and B was the baseline value. Groups were compared using the percent change in the General Linear Model (paired t test) analyses. We used ANCOVA to compare adjusted means of end values and percent changes while weight change was included as a covariate.
Results were considered significant if the 2-tailed P-value was <0.05. Values reported in the text are mean ± SEM. Statistical analyses were performed using the SPSS for Windows version 13.0.
Results
Of the 44 participants, 31 type 2 diabetic patients completed the entire cross-over study. During the study, 1 patient was diagnosed with cancer and another with anemia, so these 2 patients could not follow their diets. Eleven patients deviated from the study protocol and therefore, their data were not available. The study flow diagram is provided in Supplemental Figure 1. The mean patient age was 55.0 ± 6.5 y and the mean time since diagnosis of diabetes was 4 ± 0.5 y. Forty-one percent (n = 13) were male and 59% (n = 18) were female. According to medical records, none had retinopathy or nephropathy. Eighty percent (n = 25) were using oral hypoglycemic agents, 16% (n = 5) were using blood lipid-lowering agents, 16% (n = 5) were taking antihypertensive medications, 25% (n = 8) were consuming multivitamin mineral pills, and 9.6% (n = 3) were using herbal treatments (e.g. fenugreek seeds, green tea, and nettle). No other medications were reported. Medication dosage stayed constant for all patients throughout the study period. No patients were smokers.
Nutrient content and servings per food group from the 3-d diet self-report are shown (Table 1). Both diets were well tolerated. None of patients had complications after adoption of either diet. Participants’ activity levels remained the same during the entire study period [mean and SE of physical activity during the control diet: 2.47 ± 0.21 metabolic equivalent (MET)⋅h/d; during the DASH diet: 2.61 ± 0.26 MET⋅h/d; P = 0.13).
TABLE 1.
Daily dietary intakes | Control diet | DASH diet | P | Wash-out2 |
Nutrients | ||||
Energy, MJ | 9.06 ± 0.12 | 9.16 ± 0.14 | 0.62 | 8.82 ± 0.19 |
Protein, % of energy | 15 ± 0.8 | 16 ± 0.9 | 0.71 | 15 ± 0.8 |
Total fat, % of energy | 28 ± 0.9 | 29 ± 1.1 | 0.44 | 30 ± 1.6 |
Saturated fat, % of energy | 7 ± 0.8 | 5 ± 0.5 | 0.61 | 10 ± 0.5 |
Polyunsaturated fat, % of energy | 8 ± 0.6 | 13 ± 0.5 | <0.05 | 9 ± 0.6 |
Monounsaturated fat, % of energy | 11 ± 0.5 | 10 ± 0.6 | 0.73 | 9 ± 0.5 |
Cholesterol, mg | 198 ± 10 | 194 ± 9 | 0.51 | 239 ± 13 |
Carbohydrate, % of energy | 57 ± 1 | 55 ± 2 | 0.79 | 55 ± 2 |
Fiber, g | 26 ± 1 | 30 ± 2 | <0.05 | 18 ± 2 |
Potassium, g | 3.22 ± 0.16 | 4.40 ± 0.18 | <0.05 | 2.35 ± 0.13 |
Calcium, mg | 912 ± 71 | 1299 ± 77 | <0.05 | 723 ± 85 |
Food groups, g | ||||
Fruits | 311 ± 87 | 516 ± 113 | <0.05 | 215 ± 79 |
Vegetables | 114 ± 37 | 179 ± 69 | <0.05 | 87 ± 21 |
Total grains | 405 ± 126 | 270 ± 89 | <0.05 | 330 ± 110 |
Whole grains | 75 ± 22 | 135 ± 43 | <0.05 | 30 ± 10 |
Low-fat dairy | 360 ± 125 | 720 ± 234 | <0.05 | 120 ± 32 |
Regular-fat dairy | 129 ± 35 | 0 | <0.05 | 120 ± 0.1 |
Red meat | 30 ± 8 | 21 ± 7 | 0.26 | 48 ± 11 |
Poultry and fish | 60 ± 24 | 60 ± 23 | 0.79 | 15 ± 7 |
Values are mean ± SEM, = 31.
Wash-out period: patients returned to the diet used before the study.
The change in weight differed between the control (−2.8 ± 0.4%) and DASH (−6.5 ± 1.2%) diet periods (P = 0.007). Compared with the control diet, the fasting blood glucose level was −13.9 ± 4.5%, waist circumference was –5.6 ± 1.2%, and weight was –5.9 ± 1.1% lower following the DASH diet. With the DASH eating pattern, LDL cholesterol was reduced more than with the control diet (difference from the control diet, −7.7 ± 3.3%). Systolic and diastolic blood pressure were reduced by −9.6 ± 1.8% and −9.9 ± 3.6%, respectively. Compared with the control diet, the mean HDL cholesterol after the DASH diet period was 7.6 ± 1.7% lower. In summary, all these variables decreased significantly more during the DASH diet period than during the control diet period.
There were no significant differences in the baseline characteristics of the study participants except for the concentrations of direct bilirubin and ALT (Table 2). At the end of each diet period, concentrations of fibrinogen, AST, ALP, and hs-CRP differed and the differences remained significant in a separate, weight-adjusted model.
TABLE 2.
Serum measure | Control diet, n = 31 | DASH diet, n = 31 | P |
D-dimer, mg/L | |||
Baseline | 0.13 ± 0.01 | 0.12 ± 0.01 | 0.36 |
End | 0.11 ± 0.007 | 0.11 ± 0.01 | 0.67 |
Adjusted2 | 0.12 ± 0.01 | 0.11 ± 0.01 | 0.84 |
Percent change | −3.8 ± 4.3 | −1.0 ± 4.0 | 0.09 |
Adjusted2 | −5.3 ± 4.4 | 0.1 ± 4.3 | 0.39 |
Fibrinogen, g/L | |||
Baseline | 301.3 ± 5.6 | 304.4 ± 3.9 | 0.66 |
End | 298.1 ± 5.7 | 268.0 ± 10.8 | 0.02 |
Adjusted2 | 161.3 ± 10.1 | 265.7 ± 10.0 | 0.001 |
Percent change | 0.5 ± 3.4 | −11.4 ± 3.6 | 0.03 |
Adjusted2 | 0.8 ± 3.7 | −11.1 ± 3.7 | 0.03 |
hs-CRP, mg/L | |||
Baseline | 3.11 ± 0.30 | 2.90 ± 0.31 | 0.85 |
End | 2.91 ± 0.30 | 2.04 ± 0.20 | 0.02 |
Adjusted2 | 2.92 ± 0.2 | 2.03 ± 0.27 | 0.03 |
Percent change | −5.1 ± 3.8 | −26.9 ± 3.5 | 0.001 |
Adjusted2 | −0.2 ± 0.1 | −0.9 ± 0.1 | 0.02 |
ALT, IU/L | |||
Baseline | 12.3 ± 0.7 | 14.1 ± 0.6 | 0.01 |
End | 11.4 ± 0.7 | 11.8 ± 0.5 | 0.60 |
Adjusted2 | 11.5 ± 0.6 | 11.8 ± 0.6 | 0.76 |
Percent change | −6.6 ± 3.4 | −14.8 ± 3.0 | 0.001 |
Adjusted2 | −5.7 ± 3.4 | −15.7 ± 3.4 | 0.04 |
AST, IU/L | |||
Baseline | 11.3 ± 1.0 | 10.0 ± 0.4 | 0.23 |
End | 10.7 ± 1.0 | 6.3 ± 0.3 | 0.001 |
Adjusted2 | 10.8 ± 0.8 | 6.7 ± 0.8 | 0.001 |
Percent change | −5.9 ± 1.4 | −29.4 ± 3.7 | 0.001 |
Adjusted2 | −6.5 ± 2.9 | −28.8 ± 2.9 | 0.001 |
ALP, IU/L | |||
Baseline | 193.0 ± 6.6 | 187.0 ± 7.1 | 0.22 |
End | 191.1 ± 6.6 | 178.2 ± 5.8 | 0.01 |
Adjusted2 | 190.2 ± 6.6 | 179.2 ± 6.5 | 0.25 |
Percent change | −0.7 ± 2.5 | −3.5 ± 2.8 | 0.23 |
Adjusted2 | −1.0 ± 1.8 | −3.1 ± 1.8 | 0.44 |
Total bilirubin, IU/L | |||
Baseline | 0.59 ± 0.02 | 0.59 ± 0.02 | 0.85 |
End | 0.57 ± 0.02 | 0.55 ± 0.02 | 0.35 |
Adjusted2 | 0.56 ± 0.02 | 0.56 ± 0.02 | 0.83 |
Percent change | −10.8 ± 3.8 | −5.8 ± 1.7 | 0.29 |
Adjusted2 | −11.1 ± 3.1 | −5.5 ± 3.1 | 0.22 |
Direct bilirubin, IU/L | |||
Baseline | 0.16 ± 0.01 | 0.13 ± 0.01 | 0.04 |
End | 0.13 ± 0.01 | 0.12 ± 0.01 | 0.19 |
Adjusted2 | 0.13 ± 0.01 | 0.12 ± 0.01 | 0.74 |
Percent change | −10.8 ± 3.8 | −6.2 ± 2.4 | 0.28 |
Adjusted2 | −10.4 ± 3.3 | −6.6 ± 3.3 | 0.44 |
Values are mean ± SEM, = 31.
Adjusted for weight reduction.
The percent change during the 2 diets differed for plasma fibrinogen, ALT, AST, and hs-CRP (Table 3). After adjusting for the effect of weight in a separate model, all significant changes remained.
Plasma fibrinogen was −8.6 ± 4.2% lower during the DASH diet period than during the control diet period. AST and ALT were −19.9 ± 9.9% and −9.7 ± 4.8% lower, respectively, during the DASH diet period compared with the control diet period. During the DASH eating pattern, the CRP level was reduced more than during the control diet (difference from the control diet: −16.9 ± 7.4%).
Discussion
We found that the DASH eating pattern had beneficial effects on type 2 diabetic patients’ novel cardiovascular risk factors, at least in the short term. After following the DASH diet for 8 wk, liver transferase enzymes, plasma fibrinogen level, and hs-CRP were reduced. Previous epidemiological studies have shown that adherence to the DASH dietary pattern may prevent type 2 diabetes (14), hypertension (14, 15), and coronary heart disease (16). Clinical trials also indicated beneficial effects of DASH on lowering blood pressure (19–21, 27). It is possible that even an educational program teaching the DASH diet via the internet could have beneficial effects on weight and blood pressure (28). To our knowledge, the present study is the first to examine the effects of the DASH eating pattern on novel cardiovascular risk factors among type 2 diabetic patients. Although previous studies have shown beneficial effects on patients with metabolic syndrome (12) and hypertension (19–21), they did not consider fibrinogen levels and hepatic functional tests.
In the present study, after assignment to the DASH diet, plasma fibrinogen levels were significantly reduced, which might be related to the higher vitamin C, fiber, and phytochemical contents of this diet. Research has been inconsistent regarding the relationship between fiber intake and plasma fibrinogen level (29–33). Some cross-sectional studies have reported an inverse association (29, 30), whereas some clinical trials and also observational studies have found no significant effect of fiber intake on fibrinolytic activity (31, 32). Different methods used to measure fibrinogen levels might be responsible for these conflicting results. The DASH dietary pattern has higher soluble fiber. The favorable effect of soluble fiber intake on homeostatic risk factors for coronary heart disease might be explained by the production of SCFA, which may inhibit the hepatic synthesis of coagulating factors (33). Furthermore, these kind of fatty acids decrease serum fatty acids that result in an elevation of insulin sensitivity and in turn decrease the fibrinogen concentration (33). Current evidence also indicates that low-glycemic index diets could have a beneficial effect on serum fibrinogen levels (34).
Given our results, the DASH eating pattern could reduce plasma CRP levels. The DASH diet has high amounts of fiber that might be correlated with lower levels of inflammatory markers. A randomized, cross-over intervention showed that a high-fiber (30 g/d) DASH diet or a fiber-supplemented diet (30 g/d) could reduce plasma levels of CRP (35). The DASH diet had higher amounts of fruits and vegetables, which have been inversely associated with plasma CRP level in Tehranian women (36). Furthermore, whole grain intake is inversely related to plasminogen activator inhibitor-1 and plasma CRP concentrations (37).
Sodium intake was restricted in the DASH diet. Higher sodium intake is associated with increased levels of inflammation (38) and this might be related to higher levels of coagulation (39). However, a recent clinical trial showed that a low-sodium diet had no effect on measures of inflammation or coagulation (40).
Although ALT concentrations did not differ at the end of the 2 diet periods, the percent decrease was significantly greater during the DASH diet period, perhaps due to the differences at baseline. Because of this significant difference at baseline, the percent change was more important for this variable compared with AST, for which there was no significant difference observed at baseline.
Recent studies have shown that these liver enzymes are correlated with diabetes and cardiovascular diseases (6). Because of serum liver enzyme’s status as a novel cardiovascular risk factor and its association with glycemic control abnormalities, our study provides new evidence for the benefits of consuming a specific diet, like DASH, for type 2 diabetic patients.
In summary, the DASH eating pattern is a diet characterized by high quantities of whole grains, vegetables, fruits, and legumes and, therefore, high amounts of fiber, which may confer advantages on glycemic control and other cardiometabolic risk factors related to insulin status and cardiometabolic risks (41). A higher intake of legumes in the DASH eating pattern might also be responsible for its beneficial effects on metabolic parameters. Soy products, also consumed in higher quantities in the DASH diet, might be associated with better cardio-metabolic status and lower plasma levels of CRP (42, 43). Red meat consumption was also lower during the DASH diet period. An Iranian study showed a relationship between red meat intake and plasma CRP level (44). However, consuming higher amounts of nonhydrogenated vegetable oil while on the DASH diet may provide an explanation (45, 46). The effects of the DASH diet on other cardiometabolic risk factors assessed in the present trial show weight and waist circumference reduced to a significantly greater degree following the DASH diet compared with the control diet (22). Therefore, the extent to which the benefits of the DASH eating pattern on inflammation, coagulation, and liver enzyme levels are mediated by weight loss is not clear. However, because significant associations remained after adjustment for weight, it appears that the DASH diet exerts beneficial effects independent of weight reduction.
The rate of noncompliance in the DASH and control groups was the same, so compliance did not differ. Because our cross-over trial took place over a short time period, we had few patients who dropped out or were excluded; the number of patients remaining in the study was higher than our calculated sample size of 31. Thus, noncompliance was not a major concern in regard to sample size.
In the current study, patients received only recommendations to follow a particular diet rather than receiving preprepared foods. This contrasts with previous reports, in which researchers controlled exactly what the participants consuming the DASH diet ate. In our study, dietary intake was assessed through patients’ self-reported food records. Although the diets in our study were not followed exactly, our results suggest that even imperfect compliance with the DASH diet recommendations could have benefits. Our trial should have good external validity, because we conducted this study on type 2 diabetic patients without any specific disorder. During the study, the physician was requested not to change medication dosages to avoid any resulting bias. Therefore, when possible, medication regimens were changed only upon conclusion of the study.
The DASH eating pattern may play an important role in managing novel risk factors for cardiovascular diseases among type 2 diabetic patients. Longer term studies are needed to assess whether these effects are maintained over time.
Supplementary Material
Acknowledgments
L.A. and A.E. are responsible for the study’s conception and design, statistical analysis, interpretation of the results, drafting of the manuscript, and approval of the final manuscript for submission; P.J.S. helped in drafting the manuscript and in editing the English; W.C.W. helped in drafting the manuscript and provided comments. All authors read and approved the final manuscript.
Footnotes
Supported by the Isfahan University of Medical Sciences (primary sponsor). The facilities for conducting the biochemical experiments and sample recruitment were provided by Shahid Motahari Hospital of Fooladshahr, Isfahan Steel Company, Isfahan. All participants received health insurance from the Isfahan Steel Company and attended the Shaheed Motahari Hospital of Fooladshahr.
This trail was registered at clinicaltrials.gov as NCT01049321.
Supplemental Fig. 1 is available from the “Online Supporting Material” link in the online posting of the article and from the same link in the online table of contents at jn.nutrition.org.
Abbreviations used: ALP, alkaline phosphatase; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CRP, C-reactive protein; DASH, Dietary Approaches to Stop Hypertension; hs-CRP, high sensitivity C-reactive protein; MET, metabolic equivalent.
Literature Cited
- 1.Bandyopadhyay P. Cardiovascular diseases and diabetes mellitus. Drug News Perspect. 2006;19:369–75 [PubMed] [Google Scholar]
- 2.Narayan KM, Boyle JP, Thompson TJ, Sorensen SW, Williamson DF. Lifetime risk for diabetes mellitus in the United States. JAMA. 2003;290:1884–90 [DOI] [PubMed] [Google Scholar]
- 3.Kalofoutis C, Piperi C, Kalofoutis A, Harris F, Phoenix D, Singh J. Type II diabetes mellitus and cardiovascular risk factors: current therapeutic approaches. Exp Clin Cardiol. 2007;12:17–28 [PMC free article] [PubMed] [Google Scholar]
- 4.Festa A, Williams K, Tracy RP, Wagenknecht LE, Haffner SM. Progression of plasminogen activator inhibitor-1 and fibrinogen levels in relation to incident type 2 diabetes. Circulation. 2006;113:1753–9 [DOI] [PubMed] [Google Scholar]
- 5.Kelleher CC. Plasma fibrinogen and factor VII as risk factors for cardiovascular disease. Eur J Epidemiol. 1992;8 Suppl 1:79–82 [DOI] [PubMed] [Google Scholar]
- 6.Sato KK, Hayashi T, Nakamura Y, Harita N, Yoneda T, Endo G, Kambe H. Liver enzymes compared with alcohol consumption in predicting the risk of type 2 diabetes: the Kansai Healthcare Study. Diabetes Care. 2008;31:1230–6 [DOI] [PubMed] [Google Scholar]
- 7.Mugabo Y, Li L, Renier G. The connection between C-reactive protein (CRP) and diabetic vasculopathy. Focus on preclinical findings. Curr Diabetes Rev. 2010;6:27–34 [DOI] [PubMed] [Google Scholar]
- 8.Lichtenstein AH, Appel LJ, Brands M, Carnethon M, Daniels S, Franch HA, Franklin B, Kris-Etherton P, Harris WS, et al. Diet and lifestyle recommendations revision 2006: a scientific statement from the American Heart Association Nutrition Committee. Circulation. 2006;114:82#x2013967 [DOI] [PubMed] [Google Scholar]
- 9.Zhao G, Ford ES, Li C, Mokdad AH. Weight control behaviors in overweight/obese U.S. adults with diagnosed hypertension and diabetes. Cardiovasc Diabetol. 2009;8:13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Vollmer WM, Sacks FM, Ard J, Appel LJ, Bray GA, Simons-Morton DG, Conlin PR, Svetkey LP, Erlinger TP, et al. Effects of diet and sodium intake on blood pressure: subgroup analysis of the DASH-sodium trial. Ann Intern Med. 2001;135:1019–28 [DOI] [PubMed] [Google Scholar]
- 11.Buse JB, Ginsberg HN, Bakris GL, Clark NG, Costa F, Eckel R, Fonseca V, Gerstein HC, Grundy S, et al. Primary prevention of cardiovascular diseases in people with diabetes mellitus: a scientific statement from the American Heart Association and the American Diabetes Association. Circulation. 2007;115:114–26 [DOI] [PubMed] [Google Scholar]
- 12.Azadbakht L, Mirmiran P, Esmaillzadeh A, Azizi T, Azizi F. Beneficial effects of a Dietary Approach to Stop Hypertension (DASH) eating plan on features of metabolic syndrome. Diabetes Care. 2005;28:2823–31 [DOI] [PubMed] [Google Scholar]
- 13.Azadbakht L, Kimiagar M, Mehrabi Y, Esmaillzadeh A, Hu FB, Willett WC. Soy consumption, markers of inflammation, and endothelial function: a cross-over study in postmenopausal women with the metabolic syndrome. Diabetes Care. 2007;30:967–73 [DOI] [PubMed] [Google Scholar]
- 14.Liese AD, Nichols M, Sun X, D'Agostino RB, Jr, Haffner SM. Adherence to the DASH Diet is inversely associated with incidence of type 2 diabetes: the insulin resistance atherosclerosis study. Diabetes Care. 2009;32:1434–6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Forman JP, Stampfer MJ, Curhan GC. Diet and lifestyle risk factors associated with incident hypertension in women. JAMA. 2009;302:401–11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Toledo E, Carmona-Torre FD, Alonso A, Puchau B, Zulet MA, Martinez JA, Martinez-Gonzalez MA. Hypothesis-oriented food patterns and incidence of hypertension: 6-year follow-up of the SUN (Seguimiento Universidad de Navarra) prospective cohort. Public Health Nutr. 2010;13:338–49 [DOI] [PubMed] [Google Scholar]
- 17.Levitan EB, Wolk A, Mittleman MA. Consistency with the DASH diet and incidence of heart failure. Arch Intern Med. 2009;169:851–7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Fung TT, Chiuve SE, McCullough ML, Rexrode KM, Logroscino G, Hu FB. Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women. Arch Intern Med. 2008;168:713–20 [DOI] [PubMed] [Google Scholar]
- 19.Sacks FM, Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Bray GA, Vogt TM, Cutler JA, et al. A dietary approach to prevent hypertension: a review of the Dietary Approaches to Stop Hypertension (DASH) Study. Clin Cardiol. 1999; 22 Suppl 7:III6–10 [DOI] [PubMed] [Google Scholar]
- 20.Al-Solaiman Y, Jesri A, Mountford WK, Lackland DT, Zhao Y, Egan BM. DASH lowers blood pressure in obese hypertensives beyond potassium, magnesium and fibre. J Hum Hypertens. 2010;24:237–46 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hodson L, Harnden KE, Roberts R, Dennis AL, Frayn KN. Does the DASH diet lower blood pressure by altering peripheral vascular function? J Hum Hypertens. 2010;24:312–9 [DOI] [PubMed] [Google Scholar]
- 22.Azadbakht L, Fard NR, Karimi M, Baghaei MH, Surkan PJ, Rahimi M, Esmaillzadeh A, Willett WC. Effects of the Dietary Approaches to Stop Hypertension (DASH) eating plan on cardiovascular risks among type 2 diabetic patients: a randomized cross-over clinical trial. Diabetes Care; Epub 2010 Sep 15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Fleiss JL. The design and analysis of clinical experiments. London: John Wiley and Sons; 1986. p. 263–71 [Google Scholar]
- 24.Harris TJ, Cook DG, Wicks PD, Cappuccio FP. Impact of the new American Diabetes Association and World Health Organisation diagnostic criteria for diabetes on subjects from three ethnic groups living in the UK. Nutr Metab Cardiovasc Dis. 2000;10:305–9 [PubMed] [Google Scholar]
- 25.Franz MJ. Medical nutrition therapy for diabetes mellitus and hypoglycemia of nondiabetic origin. : Mahan LK, Escott-Stomp S, Krause’s food nutrition and diet therapy. 11th ed. Philadelphia: WB Saunders; 2008. p. 764–805 [Google Scholar]
- 26.Institute of Medicine Food and nutrition board. Dietary Reference Intake for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. Washington, DC: The National Academies Press; 2002 [DOI] [PubMed] [Google Scholar]
- 27.Maruthur NM, Wang NY, Appel LJ. Lifestyle interventions reduce coronary heart disease risk: results from the PREMIER Trial. Circulation. 2009;119:2026–31 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Moore TJ, Alsabeeh N, Apovian CM, Murphy MC, Coffman GA, Cullum-Dugan D, Jenkins M, Cabral H. Weight, blood pressure, and dietary benefits after 12 months of a Web-based Nutrition Education Program (DASH for health): longitudinal observational study. J Med Internet Res. 2008;10:e52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Boman K, Hellsten G, Bruce A, Hallmans G, Nilsson TK. Endurance physical activity, diet and fibrinolysis. Atherosclerosis. 1994;106:65–74 [DOI] [PubMed] [Google Scholar]
- 30.Yarnell JWG, Fehily AM, Milbank J, Kubiki AJ, Eastham R, Hayes TM. Determinants of plasma lipoproteins and coagulation factors in men from Caerphilly, South Wales. J Epidemiol Community Health. 1983;37:137–40 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Fehily AM, Burr ML, Butland BK, Eastham RD. A randomized controlled trial to investigate the effect of a high fiber diet on blood pressure and plasma fibrinogen. J Epidemiol Community Health. 1986;40:334–7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Djoussé L, Ellison RC, Zhang Y, Arnett DK, Sholinsky P, Borecki I. Relation between dietary fiber consumption and fibrinogen and plasminogen activator inhibitor type 1: The National Heart, Lung, and Blood Institute Family Heart Study. Am J Clin Nutr. 1998;68:568–75 [DOI] [PubMed] [Google Scholar]
- 33.Juhan-Vague I, Thompson SG, Jespersen J. Involvement of hemostatic system in the insulin resistance syndrome. A study of 1500 patients with angina pectoris. Arterioscler Thromb. 1993;13:1865–73 [DOI] [PubMed] [Google Scholar]
- 34.Marsh KA, Steinbeck KS, Atkinson FS, Petocz P, Brand-Miller JC. Effect of a low glycemic index compared with a conventional healthy diet on polycystic ovary syndrome. Am J Clin Nutr. 2010;92:83–92 [DOI] [PubMed] [Google Scholar]
- 35.King DE, Egan BM, Woolson RF, Mainous AG III, Al-Solaiman Y, Jesri A. Effect of a high-fiber diet vs a fiber-supplemented diet on C-reactive protein level. Arch Intern Med. 2007;167:502–6 [DOI] [PubMed] [Google Scholar]
- 36.Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC. Fruit and vegetable intakes, C-reactive protein and the metabolic syndrome. Am J Clin Nutr. 2006;84:1489–97 [DOI] [PubMed] [Google Scholar]
- 37.Masters RC, Liese AD, Haffner SM, Wagenknecht LE, Hanley AJ. Whole and refined grain intakes are related to inflammatory protein concentrations in human plasma. J Nutr. 2010;140:587–94 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Fogarty A, Lewis S, McKeever T, Britton J. Is higher sodium intake associated with elevated systemic inflammation? A population-based study. Am J Clin Nutr. 2009;89:1901–4 [DOI] [PubMed] [Google Scholar]
- 39.Danesh J, Whincup P, Walker M, Lennon L, Thomson A, Appleby P, Rumley A, Lowe GD. Fibrin D-dimer and coronary heart disease. Circulation. 2001;103:2323–7 [DOI] [PubMed] [Google Scholar]
- 40.Forrester DL, Britton J, Lewis SA, Pogson Z, Antoniak M, Pacey SJ, Purcell G, Fogarty AW. Impact of adopting low sodium diet on biomarkers of inflammation and coagulation: a randomised controlled trial. J Nephrol. 2010;23:49–54 [PubMed] [Google Scholar]
- 41.Xi L, Xiao C, Bandsma RH, Naples M, Adeli K, Lewis GF. C-reactive protein impairs hepatic insulin sensitivity and insulin signaling in rats: role of mitogen-activated protein kinases. Hepatology. 2011;53:127–35 [DOI] [PubMed] [Google Scholar]
- 42.Azadbakht L, Atabak S, Esmaillzadeh A. Soy protein intake, cardio-renal indices and C-reactive protein in type 2 diabetes with nephropathy: a longitudinal randomized clinical trial. Diabetes Care. 2008;31:648–54 [DOI] [PubMed] [Google Scholar]
- 43.Azadbakht L, Esmaillzadeh A. Soy-protein consumption and kidney-related biomarkers among type 2 diabetics: a crossover, randomized clinical trial. J Ren Nutr. 2009;19:479–86 [DOI] [PubMed] [Google Scholar]
- 44.Azadbakht L, Esmaillzadeh A. Red meat intake is associated with metabolic syndrome and the plasma C-reactive protein concentration in women. J Nutr. 2009;139:335–9 [DOI] [PubMed] [Google Scholar]
- 45.Esmaillzadeh A, Azadbakht L. Home use of vegetable oils, markers of systemic inflammation, and endothelial dysfunction among women. Am J Clin Nutr. 2008;88:913–21 [DOI] [PubMed] [Google Scholar]
- 46.Esmaillzadeh A, Azadbakht L. Consumption of hydrogenated vs. non-hydrogenated vegetable oils and risk of insulin resistance and the metabolic syndrome among Iranian adult women. Diabetes Care. 2008;31:223–6 [DOI] [PubMed] [Google Scholar]
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