Skip to main content

The effect of dietary approaches to stop hypertension (DASH) diet on fatty liver and cardiovascular risk factors in subjects with metabolic syndrome: a randomized controlled trial

Abstract

Background

Metabolic syndrome (MetS) as a multifactorial disorder is associated with non-communicable diseases. The dietary approaches to stop hypertension (DASH) diet is a healthy dietary pattern. We investigated the effect of the DASH diet on fatty liver and cardiovascular risk factors in subjects with MetS.

Methods

60 Subjects with MetS were assigned into the intervention group (DASH diet) or the control group (a healthy diet). Fatty liver index (FLI), hepatic steatosis index (HSI), waist circumference (WC), weight, body mass index (BMI), triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c) and high-density lipoprotein cholesterol (HDL-c) were evaluated at the beginning and after intervention. Equations of fatty liver indices such as FLI and HSI are based on liver enzymes, anthropometric variables, sex and having diabetes.

Results

30 subjects in the intervention group and 29 subjects in the control group completed the study. We found a significant reduction in the intervention group compared to the control group in FLI (-13.06 ± 10.03 vs. -2.90 ± 6.82;P < 0.001), HSI (-2.72 ± 2.59 vs. -0.81 ± 3.80;P = 0.02), WC (-6.02 ± 4.24 vs. -2.24 ± 4.28;P = 0.001), weight (-3.39 ± 2.53 vs. -1.51 ± 2.72;P = 0.008), BMI (-1.25 ± 0.93 vs. -0.56 ± 1.01;P = 0.008), DBP (-5.16 ± 3.92 vs. -1.50 ± 7.04;P = 0.01), SBP (-6.97 ± 8.21 vs. -1.36 ± 6.83;P = 0.006), TG (-18.50 ± 14.32 vs. 0.60 ± 23.81;P < 0.001), TC (-16.10 ± 17.94 vs. -5.07 ± 23.62;P = 0.04) and LDL-c (-13.50 ± 9.58 vs. -4.90 ± 18.28;P = 0.02). These results remained significant after adjusting for confounding factors, except for TC (P = 0.25).

Conclusions

The DASH diet was more effective than the control diet in managing fatty liver and cardiovascular risk factors.

Trial registration

The trial was registered on 21 October 2022 at Iranian Registry of Clinical Trials (IRCT20180201038585N12, URL: https://irct.behdasht.gov.ir/trial/66161).

Peer Review reports

Introduction

Metabolic syndrome (MetS), which is a collection of metabolic dysregulations, is a main cause for the development of various diseases [1, 2]. The prevalence of MetS in adults varies from 20% to more than 35% [3]. About one-third of Iranian adults are affected by metabolic syndrome [4]. It has been confirmed that metabolic dysregulations in MetS contributed to the progression of fatty liver disease [5]. Scoring tools like fatty liver index (FLI) and hepatic steatosis index (HSI) are designed to evaluate fatty liver [6]. Individuals with MetS have higher cardiovascular risks compared to the subjects without MetS [7]. Unhealthy lifestyle behaviors such as following unhealthy dietary patterns, lack of exercise, alcohol consumption, and insufficient quantity and/or quality of sleep increase the risk of MetS [8].

The dietary approaches to stop hypertension (DASH) diet has been designed for managing elevated blood pressure [9]. This dietary regime emphasizes on reduction of dietary intake of saturated fat, cholesterol, red and processed meats, sugar-sweetened beverages, and sodium [10]. In addition, the DASH diet recommends a high intake of whole grains, vegetables, fruits, low-fat dairy products, legumes, and nuts [10]. Adherence to DASH diet provides adequate amounts of fiber, calcium, potassium and magnesium [11]. Some investigations demonstrated a positive impact of DASH diet on cardiovascular risk factors in individuals with NAFLD, hypertension, and obesity [12,13,14,15]. Only Azadbakht et al. [16] and Saneei et al. [17] examined the impact of DASH diet among individuals with MetS, and their results were inconsistent. To our knowledge, there is no clinical trial determining the impact of DASH diet on fatty liver in subjects with MetS. We aimed to examine the effect of DASH diet on fatty liver indices and cardiovascular outcomes among individuals with MetS. Compared to the control diet, the DASH diet was hypothesized to be more effective in managing fatty liver and cardiovascular risk factors in subjects with MetS.

Methods

Participants

This two-arm parallel randomized controlled trial (RCT) was carried out in Yazd, Iran. Recruitment of participants was conducted between October and November 2022 in Diabetes Research Center affiliated with Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Individuals aged between 30 and 60 years who had MetS and signed a written informed consent were included. Diagnosis of MetS was performed based on International Diabetes Federation (IDF) criteria [18]. We excluded those with hypothyroidism, Cushing's syndrome, Wilson disease, kidney diseases, history of hepatitis, hemochromatosis, bypass surgery, pregnancy and lactation, and those taking calcium channel blockers, synthetic estrogens, vitamin D, vitamin E, and omega-3.

Trial design

The present study was designed to investigate the effect of 12-week adherence to DASH diet on fatty liver indices (FLI and HSI), body composition variables such as waist circumference (WC), weight and body mass index (BMI), blood pressure, and lipid profile in subjects with MetS. Before signing a written informed consent, subjects were notified about the study details. The ethical committee of Baqiyatallah University of Medical Sciences Tehran, Iran confirmed the study protocol (IR.BMSU.BAQ.REC.1401.016). The trial was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. The protocol of trial was registered on 21 October 2022 at the website of Iranian clinical trials with code number IRCT20180201038585N12 (URL: https://irct.behdasht.gov.ir/trial/66161). 60 subjects were divided into groups (30 subjects in the intervention group and 30 subjects in the control group). A trained person who was not involved in the study divided the participants into intervention and control groups by a computer-generated random numbers Table [19] using a stratified randomization method based on gender (male/female) and age (30–45 and 45–60 years). The subjects in the intervention group were requested to follow DASH diet rich in fruits, vegetables, whole grains, low-fat dairy products, and low in saturated fats, cholesterol, refined grains, and sugar-sweetened beverages with a distribution of macronutrients as follows: 50–55% carbohydrate, 15–20% protein, and 30% total fat. The control group followed a diet containing 50–55% carbohydrate, 15–20% protein, and 30% total fat. We designed the diets as energy-restricted. The DASH diet is rich in food groups such as vegetables, fruits, low-fat dairy products, nuts, seeds and legumes. These food groups provide high amounts of fibers and micronutrients especially potassium, magnesium, vitamin C, vitamin A and folate. In addition, the DASH diet has low servings of meats, fats and oils. On the other hand, the control group received a healthy diet that had a balanced amount of different food groups and lower content of fibers and micronutrients than the DASH diet. Both study groups in our study received energy-restricted diets and same macronutrients distribution, and the diets were different in terms of food groups and micronutrient levels. This design was done in order to adjust the effects of energy restriction and macronutrient ratio on fatty liver and cardiovascular risk factors, and to achieve the beneficial effects of DASH diet more clearly compared to a common healthy diet. Calculation of the energy requirement for each participant was performed using the Harris-Benedict Eq. [20]. The energy intake of each participant with BMI between 25–31 kg/m2 was considered to be 500 kcal lower than the total energy requirement and the energy intake of each participant with BMI higher than 31 kg/m2 was considered to be 700 kcal lower than the total energy requirement. We checked the dietary intakes of subjects and trained them to follow the diets every 4 weeks via phone interviews. The subjects received text messages twice a week to maintain an appropriate level of adherence to the study protocols. Allocation concealment was conducted utilizing opaque sealed envelopes. According to the values of WC in the study of Razavi Zade et al. [14], 95% confidence interval, with α = 0.05 and β = 0.2, the sample size needed was estimated to be 60.

Measurements

Measuring dietary intake, physical activity, blood tests, blood pressure, fatty liver severity, and body composition was performed at the beginning and after intervention. We utilized a 3-day (1 weekend day and 2 nonconsecutive weekdays) food record to evaluate dietary intakes [21]. Nutritionist IV (N-Squared Computing, Salem, OR, USA) modified for Iranian foods was used to assess the dietary intakes.

A validated metabolic equivalent of task (MET) questionnaire was used to evaluate physical activity [22, 23].

10 ml of blood was collected from participants after 10 h fasting. Measuring triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), alanine transaminase (ALT), aspartate transaminase (AST), and gamma-glutamyl transpeptidase (GGT) was performed by Pars Azmoon kits (made in Iran) utilizing an autoanalyzer (AVIDA 1800 chemistry system; Siemens, United Kingdom).

A trained person measured diastolic blood pressure (DBP) and systolic blood pressure (SBP) based on standard protocols via a sphygmomanometer (Microlife BP AG1-10).

Fatty liver severity was estimated utilizing validated indices such as FLI [24] and HSI [25]. FLI and HSI were calculated based on following equations:

FLI = [e 0.953×loge (TG) +0.139×BMI+0.718×loge (GGT) +0.053×WC−15.745] ÷ 1 + [e 0.953×loge (TG) +0.139×BMI+0.718×loge (GGT) +0.053×WC−15.745] × 100.

HSI = 8 × (ALT / AST) + BMI + 2 (if type 2 diabetes) + 2 (if female).

A digital Seca scale (Seca, Germany) and a stadiometer (Seca, Hamburg, Germany) were used to measure the weight and height of participants, respectively. To determine each individual’s BMI, the following equation was used: weight (kg)/height squared (m2).

Statistical analysis

Statistical analysis was done by SPSS software version 24 using an intention-to-treat method. Assessment of normality of variables was performed using Kolmogorov–Smirnov test. Differences in continuous and categorical variables between two groups were compared using an independent t-test and chi-square test, respectively. Comparison of the variables before and after the intervention in each group was performed using paired t-test. In addition, comparisons between two groups were done by independent t-test. Univariate analysis of covariance (ANCOVA) was used to adjust the effects of confounding factors. P value ≤ 0.05 was considered to be significant.

Results

Characteristics of subjects

60 subjects were divided into groups. One subject was excluded from study due to non-referral, and, 30 subjects (15 males and 15 females) in the intervention group and 29 subjects (15 males and 14 females) in the control group completed the study (Fig. 1). As reported in Table 1, there was no significant difference between groups in age, gender distribution, smoking, education, physical activity and height (P > 0.05). None of the subjects reported side effects during the study.

Fig. 1
figure 1

eligibility, screening, and follow-up

Table 1 Baseline characteristics of subjects with MetS

Dietary intakes

The dietary intakes of participants were represented in Table 2. At the beginning of the trial, no significant difference was found between groups in intake of energy, carbohydrate, protein, fat, potassium, sodium, magnesium, vitamin C, vitamin A, folate, fiber, vegetables, fruits, fats and oils, nuts, seeds and legumes, simple sugars, meats. However, intervention group compared to control group had higher intake of grains (P < 0.001) and lower intake of dairy products (P = 0.02). There was no significant difference between the intervention group and the control group in percentage of calorie reduction (27.94 ± 5.56 vs. 28.51 ± 5.52; P = 0.69). After intervention, we found no significant difference between groups in energy intake, carbohydrate, protein, fat, sodium, simple sugars and grains. The intervention group compared to control group consumed higher amounts of potassium, vitamin C, vitamin A, folate, fiber, vegetables, fruits, nuts, seeds and legumes, and dairy products (P < 0.001) and lower servings of meats, fats and oils (P < 0.001). In addition, intake of magnesium was higher in the intervention group (0.006).

Table 2 Dietary intakes in subjects with MetS

Outcomes

At the beginning of the study, there were no significant differences between groups in FLI (P = 0.57), HSI (P = 0.34), ALT (P = 0.55) and GGT (P = 0.50). Only, AST was significantly higher in the intervention group compared to the control group (P = 0.04). After intervention, a significant reduction was observed in the intervention group compared to the control group in FLI (-13.06 ± 10.03 vs. -2.90 ± 6.82; P < 0.001), HSI (-2.72 ± 2.59 vs. -0.81 ± 3.80; P = 0.02), ALT (-9.53 ± 7.40 vs. -2.30 ± 7.11; P =  < 0.001), AST (-4.40 ± 4.87 vs. -1.26 ± 6.78; P = 0.04) and GGT (-5.93 ± 6.06 vs. -2.03 ± 5.45; P = 0.01) (Table 3).

Table 3 Effect of DASH diet on fatty liver and body composition in subjects with MetS

In addition, there was no significant difference between groups in WC (P = 0.81), weight (P = 0.33), and BMI (P = 0.52) at the baseline. After intervention, results of within group comparisons demonstrated that both groups had a significant reduction in WC, weight and BMI. However, adherence to DASH diet compared to healthy diet resulted in a greater reduction in WC (-6.02 ± 4.24 vs. -2.24 ± 4.28; P = 0.001), weight (-3.39 ± 2.53 vs. -1.51 ± 2.72; P = 0.008) and BMI (-1.25 ± 0.93 vs. -0.56 ± 1.01; P = 0.008) (Table 3).

Values of blood pressure and lipid profile are presented in Table 4. At the baseline, there was no significant difference between intervention group and control group in DBP (P = 0.93) and SBP (P = 0.06). Intervention group compared to control group showed a significant change in DBP (-5.16 ± 3.92 vs. -1.50 ± 7.04; P = 0.01) and SBP (-6.97 ± 8.21 vs. -1.36 ± 6.83; P = 0.006) after intervention.

Table 4 Effect of DASH diet on blood pressure and lipid profile in subjects with MetS

At the beginning of the study, levels of TG (P = 0.16), TC (P = 0.55), HDL-c (P = 0.42) and LDL-c (P = 0.16) were not significantly different between two groups. After intervention, there was a significant reduction in intervention group compared to the control group in TG (-18.50 ± 14.32 vs. 0.60 ± 23.81; P < 0.001), TC (-16.10 ± 17.94 vs. -5.07 ± 23.62; P = 0.04), and LDL-c (-13.50 ± 9.58 vs. -4.90 ± 18.28; P = 0.02). However, we found no significant difference between groups in HDL-c (-0.90 ± 3.40 vs. -1.40 ± 5.46; P = 0.67).

After adjusting for confounding factors, the results remained unchanged, except for TC (P = 0.25).

Discussion

We demonstrated that DASH diet improves fatty liver and cardiovascular risk factors in subjects with MetS

Findings of the study of Razavi Zade et al. [14] that was conducted among patients with NAFLD suggested that 8-week adherence to DASH diet resulted in a significant reduction of liver steatosis severity and liver enzymes. Intake of vegetables, fruits, and whole grains is inversely associated with the severity of fatty liver [10, 11]. Polyphenols as bioactive components of vegetables and fruits can attenuate the production of lipids in the liver, activate the clearance of fat and improve the factors contributing to the fatty liver progression like oxidative stress and inflammation [26, 27]. It has been revealed that a combination of polyphenols has greater benefits on fatty liver than supplementation with a single polyphenol [28, 29]. There is supporting evidence that whole grains intake reduces lipid accumulation in hepatocytes [30], but refined grains intake triggers the accumulation of TGs in the liver [30, 31]. Dorosti et al. [32] showed an improvement in fatty liver features after following a high-whole grains diet for 12 weeks. Whole grains, fruits, and vegetables provide high amounts of dietary fibers [33]. Fibers can increase the abundance of health-promoting bacteria in the gut and promote the function of gut microbiota [34, 35]. Short-chain fatty acids (SCFAs) acetate, propionate, and butyrate produced from the broken down of fermentable dietary fibers can promote the hepatic clearance of fat, increase insulin sensitivity, and attenuate inflammatory pathways activity [36,37,38].

Obesity and fatty liver are interlinked, and several above-mentioned mechanisms by which the DASH diet reduces the severity of fatty liver, also can decrease the level of obesity. In addition, intake of fibers increases the time of gastric emptying and satiety, and decreases appetite as well as the absorption of macronutrients [39]. Because of lower energy content of fruits and vegetables, high consumption of these food groups leads to reduction of calorie intake without change in volume of food [40]. In the study of Perry et al. [41], obese people who followed a DASH diet for 12 weeks under controlled feeding conditions indicated a reduction in body weight, and body fat mass. Said et al. [42] illustrated that adherence to DASH diet for 12 weeks ameliorates BMI in adults. Nevertheless, in the study of Saneei et al. [17], 6-week adherence to DASH diet did not change body composition in adolescents with MetS. A meta-analysis of RCTs that was conducted by Lari et al. [15] supported the therapeutic impact of DASH diet on weight, BMI, and WC. The findings of experimental and clinical investigations in this area support our findings.

A recent meta-analysis of RCTs authenticated the blood pressure-lowering effect DASH diet [9]. Another meta-analysis of RCTs that was conducted by Guo et al. [12] concluded that following a DASH diet for more than 8 weeks has a greater impact on DBP. Some important nutrients can affect hypertension by various mechanisms [43]. Potassium ameliorates elevated blood pressure via increasing endothelial vasodilation and natriuresis, reducing sensitivity to catecholamines, Angiotensin II, nicotinamide adenine dinucleotide phosphate (NADPH) oxidase and asymmetric dimethyl arginine, attenuating oxidative stress and inflammation and stimulating insulin sensitivity [43, 44]. Reduction of dietary sodium reduces endothelial cell stiffness and level of asymmetric dimethyl arginine, and stimulates production of nitric oxide [45, 46]. Magnesium (high in whole grains, nuts, and green leafy vegetables) via blocking calcium channels, stimulating the synthesis of nitric oxide and prostaglandin E, and attenuating the activity of inflammatory pathways acts as a blood pressure-lowering factor [44, 47, 48]. In summary, the blood pressure-lowering effect of DASH diet is well-known.

The study of Lima et al. [13] concluded that following the DASH diet for 6 months leads to a significant reduction in total cholesterol, TG, and LDL-c levels. However, DASH diet did not change levels of HDL-c [13]. A recent meta-analysis of RCTs indicated that following a DASH diet significantly improves TG [12]. However, the results of another meta-analysis of RCTs conducted by Lari et al. [15] showed that the DASH diet in an effective strategy in management of elevated TC and LDL-c, but it has no significant impact on HDL-c levels. It is an opinion that low-fat dietary patterns can decrease HDL-c levels [49,50,51]. As a result, one of the important reasons for the lack of beneficial impact of DASH diet on HDL-c can be its low-fat nature. Fibers can ameliorate lipid profile and reduce lipid peroxidation [39]. Soluble dietary fiber by absorbing and sequestering cholesterol attenuate hepatic absorption of cholesterol and increases cholesterol excretion [39, 40]. In addition, the consumption of legumes leads to a decrease in intrahepatic fat production [52]. Antioxidant compounds like polyphenols and carotenoids by regulating hepatic lipogenesis and hepatic β-oxidation improve blood lipid levels [53, 54].

As an important strength, this was the first study that determined the effect of DASH diet on the severity of fatty liver in subjects with MetS. The duration of the follow-up was relatively short, and this was a limitation of our RCT. As an important limitation, we did not evaluate the effects of intervention on our main outcomes in the middle of intervention period (week 6). As another limitation, accuracy of fatty liver indices is lower than liver biopsy and ultrasound in estimating the severity of fatty liver.

Conclusions

In conclusion, the DASH diet compared to a common healthy diet was more effective in managing fatty liver and cardiovascular risk factors. The outcomes of this RCT suggest that DASH diet can be considered as a therapeutic approach in management of MetS and fatty liver disease. More well-designed clinical trials are needed to clarify the therapeutic effects of DASH diet.

Availability of data and materials

The data and materials of the current study is available from the corresponding author on reasonable request.

References

  1. Zhang X, Lerman LO. The metabolic syndrome and chronic kidney disease. Transl Res. 2017;183:14–25.

    Article  CAS  PubMed  Google Scholar 

  2. Tune JD, Goodwill AG, Sassoon DJ, Mather KJ. Cardiovascular consequences of metabolic syndrome. Transl Res. 2017;183:57–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Saklayen MG. The Global Epidemic of the Metabolic Syndrome. Curr Hypertens Rep. 2018;20:12.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Kalan Farmanfarma K, Kaykhaei MA, Adineh HA, Mohammadi M, Dabiri S, Ansari-moghaddam A. Prevalence of metabolic syndrome in Iran: A meta-analysis of 69 studies. Diabetes Metab Syndr Clin Res Rev. 2019;13(1):792–9.

    Article  Google Scholar 

  5. Godoy-Matos AF, Silva Júnior WS, Valerio CM. NAFLD as a continuum: From obesity to metabolic syndrome and diabetes. Diabetol Metab Syndr. 2020;12:60.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Zhu J, He M, Zhang Y, Li T, Liu Y, Xu Z, et al. Validation of simple indexes for nonalcoholic fatty liver disease in western China: A retrospective cross-sectional study. Endocr J. 2018;65(3):373–81.

    Article  CAS  PubMed  Google Scholar 

  7. Guembe MJ, Fernandez-Lazaro CI, Sayon-Orea C, Toledo E, Moreno-Iribas C, Cosials JB, et al. Risk for cardiovascular disease associated with metabolic syndrome and its components: a 13-year prospective study in the RIVANA cohort. Cardiovasc Diabetol. 2020;19(1):195.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Dobrowolski P, Prejbisz A, Kurylowicz A, Baska A, Burchardt P, Chlebus K, et al. Metabolic syndrome a new definition and management guidelines. Arch Med Sci. 2022;18(5):1133–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Filippou CD, Tsioufis CP, Thomopoulos CG, Mihas CC, Dimitriadis KS, Sotiropoulou LI, et al. Dietary Approaches to Stop Hypertension ( DASH ) Diet and Blood Pressure Reduction in Adults with and without Hypertension : A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Adv Nutr. 2020;11:1150–60.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Campbell AP. DASH eating plan: An eating pattern for diabetes management. Diabetes Spectr. 2017;30(2):76–81.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Panbehkar-Jouybari M, Mollahosseini M, Salehi-Abargouei A, Fallahzadeh H, Mirzaei M, Hosseinzadeh M. The Mediterranean diet and dietary approach to stop hypertension (DASH)-style diet are differently associated with lipid profile in a large sample of Iranian adults: a cross-sectional study of Shahedieh cohort. BMC Endocr Disord. 2021;21(1):192.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Guo R, Li N, Yang R, Liao XY, Zhang Y, Zhu BF, et al. Effects of the Modified DASH Diet on Adults With Elevated Blood Pressure or Hypertension: A Systematic Review and Meta-Analysis. Front Nutr. 2021;8: 725020.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Lima STRM, Souza BSN, França AKT, Salgado JV, Salgado-Filho N, Sichieri R. Reductions in glycemic and lipid profiles in hypertensive patients undergoing the Brazilian Dietary Approach to Break Hypertension: A randomized clinical trial. Nutr Res. 2014;34(8):682–7.

    Article  CAS  PubMed  Google Scholar 

  14. Razavi Zade M, Telkabadi MH, Bahmani F, Salehi B, Farshbaf S, Asemi Z. The effects of DASH diet on weight loss and metabolic status in adults with non-alcoholic fatty liver disease: A randomized clinical trial. Liver Int. 2016;36(4):563–71.

    Article  CAS  PubMed  Google Scholar 

  15. Lari A, Sohouli MH, Fatahi S, Cerqueira HS, Santos HO, Pourrajab B, et al. The effects of the Dietary Approaches to Stop Hypertension (DASH) diet on metabolic risk factors in patients with chronic disease: A systematic review and meta-analysis of randomized controlled trials. Nutr Metab Cardiovasc Dis. 2021;31(10):2766–78.

    Article  CAS  PubMed  Google Scholar 

  16. Azadbakht L, Mirmiran P, Esmaillzadeh A, Azizi T, Azizi F. Beneficial effects of a dietary approaches to stop hypertension eating plan on features of the metabolic syndrome. Diabetes Care. 2005;28(12):2823–31.

    Article  CAS  PubMed  Google Scholar 

  17. Saneei P, Hashemipour M, Kelishadi R, Rajaei S, Esmaillzadeh A. Effects of recommendations to follow the Dietary Approaches to Stop Hypertension (DASH) diet v. usual dietary advice on childhood metabolic syndrome: A randomised cross-over clinical trial. Br J Nutr. 2013;110(12):2250–9.

    Article  CAS  PubMed  Google Scholar 

  18. Alberti KGMM, Zimmet P, Shaw J. The metabolic syndrome - A new worldwide definition. Lancet. 2005;366(9491):1059–62.

    Article  PubMed  Google Scholar 

  19. Saghaei M. Random allocation software for parallel group randomized trials. BMC Med Res Methodol. 2004;4:26.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Luy SCR, Dampil OA. Comparison of the harris-benedict equation, bioelectrical impedance analysis, and indirect calorimetry for measurement of basal metabolic rate among adult obese filipino patients with prediabetes or type 2 diabetes mellitus. J ASEAN Fed Endocr Soc. 2018;33(2):152–9.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Sangouni AA, Sangsefidi ZS, Yarhosseini F, Hosseinzadeh M, Akhondi-Meybodi M, Ranjbar A, et al. Effect of Cornus mas L. fruit extract on lipid accumulation product and cardiovascular indices in patients with non-alcoholic fatty liver disease: A double-blind randomized controlled trial. Clin Nutr ESPEN. 2022;47:51–7.

    Article  PubMed  Google Scholar 

  22. Aadahl M, Jørgensen T. Validation of a new self-report instrument for measuring physical activity. Med Sci Sports Exerc. 2003;35(7):1196–202.

    Article  PubMed  Google Scholar 

  23. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: An update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9 Suppl):S498-504.

    Article  CAS  PubMed  Google Scholar 

  24. Sangouni AA, Orang Z, Mozaffari-Khosravi H. Effect of omega-3 supplementation on fatty liver and visceral adiposity indices in diabetic patients with non-alcoholic fatty liver disease: A randomized controlled trial. Clin Nutr ESPEN. 2021;44:130–5.

    Article  PubMed  Google Scholar 

  25. Lee JH, Kim D, Kim HJ, Lee CH, Yang JI, Kim W, et al. Hepatic steatosis index: A simple screening tool reflecting nonalcoholic fatty liver disease. Dig Liver Dis. 2010;42(7):503–8.

    Article  CAS  PubMed  Google Scholar 

  26. Salomone F, Godos J, Zelber-Sagi S. Natural antioxidants for non-alcoholic fatty liver disease: Molecular targets and clinical perspectives. Liver Int. 2016;36(1):5–20.

    Article  CAS  PubMed  Google Scholar 

  27. Sangouni AA, Alizadeh M, Jamalzehi A, Hosseinzadeh M, Parastouei K. Garlic supplementation improves intestinal transit time, lipid accumulation product and cardiometabolic indices in subjects with metabolic syndrome: A randomized controlled trial. Phyther Res. 2023. https://doi.org/10.1002/ptr.7741.

    Article  Google Scholar 

  28. Mahmoodi M, Hosseini R, Kazemi A, Ofori-Asenso R, Mazidi M, Mazloomi SM. Effects of green tea or green tea catechin on liver enzymes in healthy individuals and people with nonalcoholic fatty liver disease: A systematic review and meta-analysis of randomized clinical trials. Phytother Res. 2020;34(7):1587–98.

    Article  CAS  PubMed  Google Scholar 

  29. Elgebaly A, Radwan IAI, Aboelnas MM, Ibrahim HH, Eltoomy MFM, Atta AA, et al. Resveratrol supplementation in patients with non-alcoholic fatty liver disease: Systematic review and meta-analysis. J Gastrointestin Liver Dis. 2017;26(1):59–67.

    Article  PubMed  Google Scholar 

  30. Schutte S, Esser D, Hoevenaars FPM, Hooiveld GJEJ, Priebe MG, Vonk RJ, et al. A 12-wk whole-grain wheat intervention protects against hepatic fat: The Graandioos study, a randomized trial in overweight subjects. Am J Clin Nutr. 2018;108(6):1264–74.

    Article  PubMed  Google Scholar 

  31. Hoevenaars FPM, Esser D, Schutte S, Priebe MG, Vonk RJ, Van Den Brink WJ, et al. Whole Grain Wheat Consumption Affects Postprandial Inflammatory Response in a Randomized Controlled Trial in Overweight and Obese Adults with Mild Hypercholesterolemia in the Graandioos Study. J Nutr. 2019;149(12):2133–44.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Dorosti M, Jafary Heidarloo A, Bakhshimoghaddam F, Alizadeh M. Whole-grain consumption and its effects on hepatic steatosis and liver enzymes in patients with non-alcoholic fatty liver disease: a randomised controlled clinical trial. Br J Nutr. 2020;123(3):328–36.

    Article  CAS  PubMed  Google Scholar 

  33. Fardet A. New hypotheses for the health-protective mechanisms of whole-grain cereals: What is beyond fibre? Nutr Res Rev. 2010;23(1):65–134.

    Article  CAS  PubMed  Google Scholar 

  34. Makki K, Deehan EC, Walter J, Bäckhed F. The Impact of Dietary Fiber on Gut Microbiota in Host Health and Disease. Cell Host Microbe. 2018;23(6):705–15.

    Article  CAS  PubMed  Google Scholar 

  35. Holscher HD. Dietary Fiber and Prebiotics and the Gastrointestinal Microbiota. Gut Microbes. 2017;8(2):172–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Den Besten G, Bleeker A, Gerding A, Van Eunen K, Havinga R, Van Dijk TH, et al. Short-chain fatty acids protect against high-fat diet-induced obesity via a pparg-dependent switch from lipogenesis to fat oxidation. Diabetes. 2015;64(7):2398–408.

    Article  Google Scholar 

  37. Mollica MP, Raso GM, Cavaliere G, Trinchese G, De Filippo C, Aceto S, et al. Butyrate regulates liver mitochondrial function, efficiency, and dynamics in insulin-resistant obese mice. Diabetes. 2017;66(5):1405–18.

    Article  CAS  PubMed  Google Scholar 

  38. Canfora EE, Jocken JW, Blaak EE. Short-chain fatty acids in control of body weight and insulin sensitivity. Nat Rev Endocrinol. 2015;11(10):577–91.

    Article  CAS  PubMed  Google Scholar 

  39. Dayib M, Larson J, Slavin J. Dietary fibers reduce obesity-related disorders: mechanisms of action. Curr Opin Clin Nutr Metab Care. 2020;23(6):445–50.

    Article  CAS  PubMed  Google Scholar 

  40. Slavin JL, Lloyd B. Health Benefits of Fruits and Vegetables. Adv Nutr. 2012;3(4):506–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Perry CA, Van GGP, Kauffman A, Hossain M. A Calorie-Restricted DASH Diet Reduces Body Fat and Maintains Muscle Strength in Obese Older Adults. Nutrients. 2020;12:102.

    Article  CAS  Google Scholar 

  42. Said MS, El Sayed IT, Ibrahim EE, Khafagy GM. Effect of DASH Diet Versus Healthy Dietary Advice on the Estimated Atherosclerotic Cardiovascular Disease Risk. J Prim Care Community Heal. 2021;12:2150132720980952.

    Google Scholar 

  43. Nguyen H, Odelola OA, Rangaswami J, Amanullah A. A review of nutritional factors in hypertension management. Int J Hypertens. 2013;2013: 698940.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Houston M. The role of nutrition and nutraceutical supplements in the treatment of hypertension. World J Cardiol. 2014;6(2):38–66.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Kanbay M, Chen Y, Solak Y, Sanders PW. Mechanisms and consequences of salt sensitivity and dietary salt intake. Curr Opin Nephrol Hypertens. 2011;20(1):37–43.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Oberleithner H, Riethmüller C, Schillers H, MacGregor GA, De Wardener HE, Hausberg M. Plasma sodium stiffens vascular endothelium and reduces nitric oxide release. Proc Natl Acad Sci U S A. 2007;104(41):16281–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Houston M. The role of magnesium in hypertension and cardiovascular disease. J Clin Hypertens. 2011;13(11):843–7.

    Article  CAS  Google Scholar 

  48. Cunha AR, Umbelino B, Correia ML, Neves MF. Magnesium and vascular changes in hypertension. Int J Hypertens. 2012;2012: 754250.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Hashemi R, Mehdizadeh Khalifani A, Rahimlou M, Manafi M. Comparison of the effect of Dietary Approaches to Stop Hypertension diet and American Diabetes Association nutrition guidelines on lipid profiles in patients with type 2 diabetes: A comparative clinical trial. Nutr Diet. 2020;77(2):204–11.

    Article  PubMed  Google Scholar 

  50. Mooradian AD, Haas MJ, Wong NCW. The effect of select nutrients on serum high-density lipoprotein cholesterol and apolipoprotein A-I levels. Endocr Rev. 2006;27(1):2–16.

    Article  CAS  PubMed  Google Scholar 

  51. Qian F, Korat AA, Malik V, Hu FB. Metabolic effects of monounsaturated fatty acid-enriched diets compared with carbohydrate or polyunsaturated fatty acid-enriched diets in patients with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials. Diabetes Care. 2016;39(8):1448–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Kim S, Hong J, Jeon R, Kim HS. Adzuki bean ameliorates hepatic lipogenesis and proinflammatory mediator expression in mice fed a high-cholesterol and high-fat diet to induce nonalcoholic fatty liver disease. Nutr Res. 2016;36(1):90–100.

    Article  PubMed  Google Scholar 

  53. Aguirre L, Portillo MP, Hijona E, Bujanda L. Effects of resveratrol and other polyphenols in hepatic steatosis. World J Gastroenterol. 2014;20(23):7366–80.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Gorzynik-Debicka M, Przychodzen P, Cappello F, Kuban-Jankowska A, Gammazza AM, Knap N, et al. Potential health benefits of olive oil and plant polyphenols. Int J Mol Sci. 2018;19(3):686. https://doi.org/10.3390/ijms19030686.

Download references

Acknowledgements

We acknowledge the contribution of the participants and co-researchers.

Funding

The present study was supported by Baqiyatallah University of Medical Sciences, Tehran, Iran. This was a financial support to provide kit and conduct laboratory works.

Author information

Authors and Affiliations

Authors

Contributions

K.P, M.H and A.S: conducted the study; M.H: provided material and technical support; A.S: carried out the statistical analysis, and interpreted the finding; A.S: drafted the manuscript; K.P: critically revised the manuscript and supervised the study. All authors reviewed the final manuscript.

Corresponding author

Correspondence to Karim Parastouei.

Ethics declarations

Ethics approval and consent to participate

The ethical committee of Baqiyatallah University of Medical Sciences in Tehran confirmed the study protocol and written informed consent. All participants signed the written informed consent before the beginning of the trial (IR.BMSU.BAQ.REC.1401.016).

Consent for publication

Not applicable.

Competing interests

The authors have declared no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sangouni, A.A., Hosseinzadeh, M. & Parastouei, K. The effect of dietary approaches to stop hypertension (DASH) diet on fatty liver and cardiovascular risk factors in subjects with metabolic syndrome: a randomized controlled trial. BMC Endocr Disord 24, 126 (2024). https://doi.org/10.1186/s12902-024-01661-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12902-024-01661-x

Keywords