Skip to main content

A case-control study of Dietary Approaches to Stop Hypertension (DASH) diets, colorectal cancer and adenomas among Iranian population


Background and aims

Colorectal cancer (CRC) is the third most common cancer, worldwide. Recently, much attention has been given to the association between Dietary Approaches to Stop Hypertension (DASH) and CRC, however, data on colorectal adenomas (CRAs) as its precursor are scarce. Thus, the purpose of this case-control study was to investigate the association of DASH score with the risk of CRC and CRA in Iranian adults.


A total of 499 participants, including 129 CRC and 130 CRA cases, along with 240 controls, were asked about their dietary intake via a validated questionnaire. The DASH score was then calculated based on a priori methods and categorized in quartiles. Multivariate logistic regression was performed to assess the association of DASH score and the risk of CRC and CRA.


After adjusting for confounding variables, adherence to the DASH diet was associated with a reduction in the risk of CRC and CRA, respectively (OR of 4th versus 1st quartile = 0.04, 95% CI: 0.01–0.11, OR = 0.10, 95% CI: 0.04–0.22). Also, subgroup analysis based on gender showed that women and men with a higher DASH score had a significantly lower risk of CRC and CRAs.


The results of this study demonstrated that adherence to a DASH dietary pattern could reduce the risk of CRC and CRA in men and women. Promoting a DASH eating plan can be helpful in reducing the risk of CRC.

Peer Review reports


Colorectal cancer (CRC) is the third most common cancer worldwide, and was recently estimated to be responsible for 694,000 deaths globally [1]. The distribution of CRC incidence varies by country, with the highest rates in well developed countries [2]. However, recent lifestyle changes in less developed countries have elicited a rapid rise of CRC incidence in these countries. Indeed, CRC is the fourth most common cancer in Iran and its’ incidence has been increasing during the past decade [3].

Inflammatory bowel disease, age, smoking, physical activity, obesity, and diet are well known risk factors of CRC [4, 5]. Also, the vast majority of CRCs arise from colorectal adenomas (CRAs); these are benign lesions that take approximately 10 years to become cancerous and people with history of adenomas are at an increased risk of CRC [6].

Among modifiable risk factors of CRC, diet has gained much attention [7]; indeed, with the goal of reducing disease risk and preventing chronic disease, including cancers, several dietary recommendations and patterns have been advocated [8, 9]. Moreover, various scoring systems, such as Healthy Eating Index, Dietary Approaches to Stop Hypertension (DASH), and Mediterranean Style Dietary Pattern Score have been used to evaluate the adherence of populations to those dietary recommendations [10,11,12].

DASH is a dietary pattern, rich in fruits, vegetables, nuts, seeds, whole grain cereals, moderate in low-fat dairies, and low in sodium and added sugars. It was initially developed for management of high blood pressure [13, 14]; yet, in addition to blood pressure, some studies have shown an association between the DASH dietary pattern and lower incidence of other chronic disease, such as cancers [15, 16]. Although several, individual, components of DASH dietary pattern are associated with a reduced risk of CRC (whole grains, dairy product and lower amount of red meat, sodium and extra sugar) and CRA (red meat and extra carbohydrate), this association has not been affirmed for all components of this dietary pattern [17,18,19,20,21]. Accordingly, rather than concentrating on single foods and nutrients, utilization of the whole DASH plan in investigating diet-CRA- CRC relations can be beneficial [14]. Indeed, some studies have reported an inverse association between adherence to the DASH pattern and CRC [22, 23], and two studies have shown this association with CRA [24, 25].

Previous studies have principally focused on CRC, however, data pertaining to CRA are sparse. Also, to the best of our knowledge, data about the relationship between DASH pattern adherence and CRC and CRA are predominantly confined to western countries, with scant evidence from less developed countries, such as Iran. Therefore, the objective of this study was to determine whether DASH dietary pattern adherence is associated with CRC and CRA, as a precursor of CRC, in a case-control study of Iranian adults.


Study design and population

This hospital-based case-control study was conducted in 3 major referral hospital (Taleghani, Shohadae Tajrish and Emam Hosein). The study participants had already been recruited for another study [26]. Briefly, CRC and CRA cases were patients with colonoscopy and histologically confirmed CRC and CRA, aged 30–79, with no history of cancers, polyps and inflammatory bowel diseases (IBD), and diagnosed in the preceding 3 months before the interview. Over the same period of time, controls were assigned randomly from patients admitted to the same hospitals for a wide spectrum of diseases other than cancers and polyps and IBD and did not follow any special diet. Controls were frequency-matched with cases by sex and age (10-year groups) and they were aged 30-79y. After exclusion of subjects with incomplete food frequency questionnaire (FFQ) and implausible energy intake estimates (outside the range of ±3 standard deviation from the mean), 499 participants (240 controls, 129 CRC and 130 CRAs) were included in the analysis. Informed consent was provided by all of the participants. Study protocol was approved by the ethics Committee of Shahid Beheshti University of Medical Sciences.

Dietary assessment

In this study, usual dietary intake of participants one year before diagnosis of diseases in cases, and one year prior to interview in controls was assessed through a valid and reliable semi-quantitative food frequency questionnaire, consisting of 148 foods and beverages [27]. For each item, participant were asked to specify how often (daily, weekly and monthly) they consumed foods based on a standard serving size. Then reported intakes were converted to weight equivalent (i.e. g, mg) per day. Energy and nutrients intake were estimated using United States Department of Agriculture (USDA) food composition table. However, for some traditional Iranian foods, such as traditional bread, the Iranian food composition table was used [28].

Calculation of DASH score

The method introduced by Fung [29] was used to measure dietary DASH score. Initially, to undo the effect of individual energy intake on the components of the DASH score, each food group intake was calculated per 1000 kcal. Then, participants were classified into quintiles and energy adjusted intake of 8 food groups and nutrients including fruits, vegetables, nuts and seeds and legumes, low-fat dairy products, whole grains which are targeted in the DASH score (adequacy components) and sodium, sweetened beverages, and red and processed meat which are minimized in DASH score (moderation components), were calculated. Individuals in highest quintiles of 5 adequacy components received 5 points and those in the lowest quintiles received minimum score of 1. Regarding the intakes of moderation components, participants in the lower quintiles of intakes scored higher points (i.e., the lowest quintiles are assigned 5 points and the highest quintiles, 1 point). Finally. The total DASH score (ranged from 8 to 40) was provided by summing up the scores of 8 components for each individual.

Covariates’ assessment

In addition to dietary assessment, necessary information about sociodemographic, characteristics, family history of CRC and other cancers, smoking habit, medical history (comorbidities, medications, and vitamin/mineral supplements intake), and usual cooking techniques were asked in a face-to-face interview. Height and weight were measured to the closest 0.1 cm and 100 g, respectively. Furthermore, physical activity was assessed by a validated questionnaire [30].

Statistical analysis

SPSS version 21.0 (SPSS Inc., Chicago, IL, 113 USA) was used to conduct Statistical analyses. Data were analyzed for normality using the Kolmogorov-Smirnov test, and are showed as means ± SD (for normally distributed data) or median and interquartile range (for non-normally distributed data). The differences between participants across the quartiles of energy-adjusted DASH score were compared using analysis of variance (ANOVA) or Kruskal-Wallis test (Kruskal-Wallis test used for non-normally distributed data) and the chi-square tests for quantitative variables and qualitative variables, respectively. Dietary DASH score was categorized into 4 quartiles based on the distribution among controls. Binary logistic regression was applied to estimate odds ratios (ORs) and 95% confidence intervals for quartiles of DASH score. BMI (kg/m2), age (year), alcohol consumption, physical activity (MET), and history of diabetes, Coronary heart disease (CHD) and hypertension, family history of cancer were considered as potential confounders and were included in the models. The p-value of < 0.05 was considered statistically significant and all reported p-values are two-tailed.


Table 1 demonstrates the main characteristic of cases and controls. There was no statistically significant difference among participants (cancers and controls, adenomas and controls) in relation to BMI, family history of colorectal cancer in first-degree relatives, smoking status, vitamin D supplement, multivitamin use and energy intake. However, family history of cancer in first-degree relatives of CRC cases was higher than controls (51.2% versus 32.9%; p-value< 0.01). Compared to controls, having at least one comorbidity such as diabetes was seen more in adenoma cases (36.9% versus 15.8%; p-value< 0.01) and the calcium supplement consumption was higher in adenoma cases than controls (24.6% versus 14.6; p-value = 0.01). Besides, the median value for physical activity was significantly higher in controls than adenomas [39.02 (36.51–41.33) vs. 37.75(34.67–40.40); p-value< 0.01]. Controls had lower intake of salt compared to CRC and CRA cases (p-value = 0.002). Common ways of cooking among controls differed significantly from cancer and adenomas patients, (p-value< 0.05). In details, cancer cases consumed more grilled and fried foods compare to controls and steamed food was consumed lower in adenomas than in controls.

Table 1 The main characteristics of the cases and controls

Table 2 shows the distribution of participants in DASH score quartiles, according to main characteristics. Participants in the highest DASH quartile had lower sodium intake (p < 0.001) and were older (58.19 vs 54.29y, p = 0.002) compared to the lowest quartile.

Table 2 The main characteristics of the participants according to quartiles of energy-adjusted DASH score

Energy-adjusted DASH score and DASH score components are shown in Table 3. Compared to control group, patients with CRC and CRAs had significantly lower DASH score (21, 22 vs 27, p < 0.001). Patients in both CRA and CRC groups ate less servings of vegetables, fruits, whole grains and nuts, legumes, and seeds than the control group (p < 0.01). The consumption of sodium, red and processed meats, and sweetened beverages were significantly higher in CRC and CRA groups compared to the control group.

Table 3 A comparison between the case (Cancer and adenomas) and control groups based on daily intake of the energy-adjusted DASH score components

Crude and multi-variable adjusted ORs and 95% confidence interval for risk of CRC and CRA, based on quartile of energy-adjusted DASH score, are provided in Table 4. We found that patients in highest quartile of DASH score had a significant reduction in the risk of both CRC and CRA vs. the lowest quartile. After adjusting for confounding variables, including BMI (kg/m2), age (year), alcohol consumption, physical activity (MET), history of diabetes, CHD and hypertension and family history of cancer, adherence to the DASH diet was associated with a reduction in the risk of CRC and CRA, respectively (OR = 0.04, 95% CI: 0.01–0.11, OR = 0.10, 95% CI: 0.04–0.22). Also, subgroup analysis based on gender showed that both women and men with higher DASH scores had significantly lower risk of CRC and CRAs.

Table 4 OR and 95% confidence interval for risk of colorectal cancer, adenoma and colorectal cancer plus adenoma based on quartile of energy-adjusted DASH score


In this case-control study of Iranian men and women, we observed that a higher DASH score was associated with a reduced risk of CRC and CRAs in Iranian adults. In addition, this association was seen in subgroup analysis based on gender, where a higher DASH score was related to lower risk of both CRC and CRA in men and women.

The findings of our study are in line with some other studies that displayed an inverse relationship between DASH score and the risk of CRC [22, 31] and CRAs [24, 25]. Indeed, considering studies that performed sex-specific analysis, four studies showed a significant inverse association between higher DASH scores and CRC risk only in men [31,32,33] and one study only in women [34]. However, another study reported this relationship was present only in women, where the authors noted a reduced risk of CRC in higher quartiles of DASH score [35]. Indeed, disparities between studies could be due to the following reasons: differences in etiology of CRC and responses to diet in men and women, hormone replacement therapy (HRT) and oral contraceptive (OCP) consumption in women which are independently and inversely associated to CRC risk [33, 36] and considering colon and rectum cancer separately or as a single cancer in analyses. Our study agrees with the result of a newly published systematic review and meta-analysis which reported an inverse significant association between higher DASH scores and reduced risks of CRC in both genders [21]. However, risk reduction in our study is far different from previous studies. This difference could represent a random variation, favored by the small sample size of some studies, or could be due to adjustment for different confounders, using self-administered FFQs in some of studies which are prone to self-report bias, whereas we administered face-to face interview by trained interviewers.

The DASH dietary pattern emphasizes the consumption of plant foods. Phytochemical and other antioxidants in these foods exert their anti-tumorigenic characteristics via inhibition of CRC cell growth (suppression of NF-κB pathway), inducing apoptosis, and reaction with reactive oxygen species [37, 38]. Further, they can interact with CRA and CRC cell growth by blocking the natural cell cycle [39]. Fiber content of plant foods is known to reduce the risk of CRC and CRA by increasing fecal volume, decreasing transit time, and therefore, decreasing the interaction of carcinogen with colonic epithelium, production of short chain fatty acids, and insulin resistance [40, 41]. The DASH dietary pattern is also low in red and processed meat; indeed, the high fat content of red meat, and heterocyclic amines and polycyclic aromatic hydrocarbons produced from cocking meat at high temperatures, in addition to nitrosyl-heme molecules in processed meats that result in N-nitroso compounds formation, are associated with increased risk of CRC and CRA [42, 43]. The DASH diet also advocates lower intakes of sugar-sweetened beverages; although the relationship between such beverages and CRC and CRA has not been fully confirmed, hyperinsulinemia and increased insulin growth factor-1 (IGF-1) consequential to consumption of these drinks can effect on carcinogenesis and conversion of adenomas to malignancies through crucial pathways, such as mitogen-activated protein kinase (MAPK) pathway and phosphoinositide 3-kinase (PI3K) pathway [44,45,46]. An important feature of the DASH diet is low sodium intake; accordingly, results of studies on the association of sodium and higher risk of CRC are not particularly strong, but some studies have reported positive associations between sodium and CRC risk [47]. Indeed, considering the synergic interaction between components of the DASH dietary pattern and CRC and CRA, rather than individual components, can be helpful in providing public messages to reduce the risk of CRC, and CRA as a precursor of CRC.

Although this study presents an important and novel addition to the literature, there are some limitations that should be considered. First, recall and selection bias cannot be avoided in case-control studies; however, we sought to minimize such biases by recruiting incident cases along with hospital controls. Second, we did not have information about HRT and OCP use in women, so the results could be affected by them, and they should be considered as potentially confounding variables in future work. Another limitation of our study is that although sample size is not low, when we classified participants according to various factors, the number of people decreased in each quartile. Concomitant to the aforementioned limitations, our study has some strengths that are noteworthy. First, to our knowledge, this is the first study on the association of DASH diet score and the risk of CRC and CRA in Iran, and in the Middle East. Second, we used Fung’s method to calculate DASH score, which includes wider ranges of possible scores (1 through 5), while some scores, such as Dixon’s, have only two values for components (0 for not meeting and 1 for meeting recommendations) [23]. Third, we used a validated FFQ, administered by trained nutritionists, to more accurately estimate the main exposure [27].


In conclusion, the results of this study demonstrated that adherence to a DASH dietary pattern could reduce the risk of colorectal cancer and colorectal adenomas in men and women. Moreover, promoting a DASH eating plan, as a balanced and healthy diet, in dietary guidelines could be helpful in reducing the risk of CRC in less-developed countries.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding and first author on reasonable request.



Colorectal cancer


Colorectal adenomas


Dietary Approaches to Stop Hypertension


Inflammatory bowel diseases


United States Department of Agriculture


Analysis of variance


Physical activity


Coronary heart disease


Odds ratios


Hormone replacement therapy


Oral contraceptive


Insulin growth factor-1


Mitogen-activated protein kinase


Phosphoinositide 3-kinase.


  1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87–108.

    Article  PubMed  Google Scholar 

  2. Khosravi Shadmani F, Ayubi E, Khazaei S, Sani M, Mansouri Hanis S, Khazaei S, et al. Geographic distribution of the incidence of colorectal cancer in Iran: a population-based study. Epidemiol Health. 2017;39:e2017020-e2017020.

    Article  Google Scholar 

  3. Dolatkhah R, Somi MH, Kermani IA, Ghojazadeh M, Jafarabadi MA, Farassati F, et al. Increased colorectal cancer incidence in Iran: a systematic review and meta-analysis. BMC Public Health. 2015;15(1):997–997.

    Article  CAS  Google Scholar 

  4. Haggar FA, Boushey RP. Colorectal cancer epidemiology: incidence, mortality, survival, and risk factors. Clin Colon Rectal Surg. 2009;22(4):191–7.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Kuipers EJ, Grady WM, Lieberman D, Seufferlein T, Sung JJ, Boelens PG, et al. Colorectal cancer. Nat Rev Dis Primers. 2015;1(1):15065–15065.

    Article  Google Scholar 

  6. Giovannucci E, Stampfer MJ, Colditz G, Rimm EB, Willett WC. Relationship of diet to risk of colorectal adenoma in men. J Natl Cancer Inst. 1992;84(2):91–8.

    Article  CAS  PubMed  Google Scholar 

  7. Baena R, Salinas P. Diet and colorectal cancer. Maturitas. 2015;80(3):258–64.

    Article  CAS  PubMed  Google Scholar 

  8. Nguyen S, Li H, Yu D, Gao J, Gao Y, Tran H, et al. Adherence to dietary recommendations and colorectal cancer risk: results from two prospective cohort studies. Int J Epidemiol. 2019;49(1):270–80.

    Article  PubMed Central  Google Scholar 

  9. Kushi LH, Doyle C, McCullough M, Rock CL, Demark-Wahnefried W, Bandera EV, et al. American Cancer Society guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. CA Cancer J Clin. 2012;62(1):30–67.

    Article  PubMed  Google Scholar 

  10. Onvani S, Haghighatdoost F, Surkan PJ, Larijani B, Azadbakht L. Adherence to the healthy eating index and alternative healthy eating index dietary patterns and mortality from all causes, cardiovascular disease and cancer: a meta-analysis of observational studies. J Hum Nutr Diet. 2017;30(2):216–26.

    Article  CAS  PubMed  Google Scholar 

  11. Rumawas ME, Dwyer JT, McKeown NM, Meigs JB, Rogers G, Jacques PF. The development of the Mediterranean-style dietary pattern score and its application to the American diet in the Framingham offspring cohort. J Nutr. 2009;139(6):1150–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Vogt TM, Appel LJ, Obarzanek E, Moore TJ, Vollmer WM, Svetkey LP, et al. Dietary approaches to stop hypertension: rationale, design, and methods. DASH collaborative research group. J Am Diet Assoc. 1999;99(8 Suppl):S12–8.

    Article  CAS  PubMed  Google Scholar 

  13. Harnden KE, Frayn KN, Hodson L. Dietary approaches to stop hypertension (DASH) diet: applicability and acceptability to a UK population. J Hum Nutr Diet. 2010;23(1):3–10.

    Article  CAS  PubMed  Google Scholar 

  14. Mohseni R, Mohseni F, Alizadeh S, Abbasi S. The Association of Dietary Approaches to stop hypertension (DASH) diet with the risk of colorectal Cancer: a Meta-analysis of observational studies. Nutr Cancer. 2020;72(5):778–90.

    Article  CAS  PubMed  Google Scholar 

  15. Ali Mohsenpour M, Fallah-Moshkani R, Ghiasvand R, Khosravi-Boroujeni H, Mehdi Ahmadi S, Brauer P. Adherence to Dietary Approaches to Stop Hypertension (DASH)-Style Diet and the Risk of Cancer: A Systematic Review and Meta-Analysis of Cohort. Studies. 2019;38(6):513–25.

    Article  Google Scholar 

  16. Ghorabi S, Salari-Moghaddam A, Daneshzad E, Sadeghi O, Azadbakht L, Djafarian K. Association between the DASH diet and metabolic syndrome components in Iranian adults. Diabetes Metab Syndr. 2019;13(3):1699–704.

    Article  PubMed  Google Scholar 

  17. Zhao Z, Yin Z, Hang Z, Zhang C, Zhao Q. Association between red and processed meat intake and colorectal adenoma incidence and recurrence: a systematic review and meta-analysis. Oncotarget. 2018;9(64):32373–82.

    Article  PubMed  Google Scholar 

  18. Onvani S, Haghighatdoost F, Azadbakht L. Dietary approach to stop hypertension (DASH): diet components may be related to lower prevalence of different kinds of cancer: a review on the related documents. J Res Med Sci. 2015;20(7):707–13.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Nagata C, Shimizu H, Kametani M, Takeyama N, Ohnuma T, Matsushita S. Diet and colorectal adenoma in Japanese males and females. Dis Colon Rectum. 2001;44(1):105–11.

    Article  CAS  PubMed  Google Scholar 

  20. Wang Z, Uchida K, Ohnaka K, Morita M, Toyomura K, Kono S, et al. Sugars, sucrose and colorectal cancer risk: the Fukuoka colorectal cancer study. Scand J Gastroenterol. 2014;49(5):581–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Tangestani H, Salari-Moghaddam A, Ghalandari H, Emamat H. Adherence to the dietary approaches to stop hypertension (DASH) dietary pattern reduces the risk of colorectal cancer: a systematic review and meta-analysis. Clin Nutr. 2020;39(10):2975–81.

    Article  PubMed  Google Scholar 

  22. Fung TT, Hu FB, Wu K, Chiuve SE, Fuchs CS, Giovannucci E. The Mediterranean and dietary approaches to stop hypertension (DASH) diets and colorectal cancer. Am J Clin Nutr. 2010;92(6):1429–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Miller PE, Cross AJ, Subar AF, Krebs-Smith SM, Park Y, Powell-Wiley T, et al. Comparison of 4 established DASH diet indexes: examining associations of index scores and colorectal cancer. Am J Clin Nutr. 2013;98(3):794–803.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Dixon LB, Subar AF, Peters U, Weissfeld JL, Bresalier RS, Risch A, et al. Adherence to the USDA food guide, DASH eating plan, and Mediterranean dietary pattern reduces risk of colorectal adenoma. J Nutr. 2007;137(11):2443–50.

    Article  CAS  PubMed  Google Scholar 

  25. Erben V, Carr PR, Holleczek B, Stegmaier C, Hoffmeister M, Brenner H. Dietary patterns and risk of advanced colorectal neoplasms: a large population based screening study in Germany. Prev Med. 2018;111:101–9.

    Article  PubMed  Google Scholar 

  26. Jafari Nasab S, Bahrami A, Rafiee P, Hekmatdoust A, Ghanavati M, Rashidkhani B, et al. Healthy eating Index-2010 and Mediterranean-style dietary pattern score and the risk of colorectal cancer and adenoma: a case–control study. Nutr Cancer. 2020;72(8):1326–35.

    Article  PubMed  Google Scholar 

  27. Asghari G, Rezazadeh A, Hosseini-Esfahani F, Mehrabi Y, Mirmiran P, Azizi F. Reliability, comparative validity and stability of dietary patterns derived from an FFQ in the Tehran lipid and glucose study. Br J Nutr. 2012;108(6):1109–17.

    Article  CAS  PubMed  Google Scholar 

  28. Azar M, Sarkisian E. Food composition table of Iran. Tehran: National Nutrition and Food Research Institute, Shaheed Beheshti University. 1980;65.

  29. 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(7):713–20.

    Article  PubMed  Google Scholar 

  30. 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 

  31. Park S-Y, Boushey CJ, Wilkens LR, Haiman CA, Le Marchand L. High-Quality Diets Associate With Reduced Risk of Colorectal Cancer: Analyses of Diet Quality Indexes in the Multiethnic Cohort. Gastroenterology. 2017;153(2):386–394.e382.

    Article  Google Scholar 

  32. Petimar J, Smith-Warner SA, Fung TT, Rosner B, Chan AT, Hu FB, et al. Recommendation-based dietary indexes and risk of colorectal cancer in the Nurses' health study and health professionals follow-up study. Am J Clin Nutr. 2018;108(5):1092–103.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Jones-McLean E, Hu J, Greene-Finestone LS, de Groh M. A DASH dietary pattern and the risk of colorectal cancer in Canadian adults. Health Promot Chronic Dis Prev Can. 2015;35(1):12–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Torres Stone RA, Waring ME, Cutrona SL, Kiefe CI, Allison J, Doubeni CA. The association of dietary quality with colorectal cancer among normal weight, overweight and obese men and women: a prospective longitudinal study in the USA. BMJ Open. 2017;7(6):e015619-e015619.

    Article  Google Scholar 

  35. Vargas AJ, Neuhouser ML, George SM, Thomson CA, Ho GYF, Rohan TE, et al. Diet quality and colorectal Cancer risk in the Women's Health Initiative observational study. Am J Epidemiol. 2016;184(1):23–32.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Reedy J, Mitrou P, Krebs-Smith S, Wirfält E, Flood A, Kipnis V, et al. Index-based dietary patterns and risk of colorectal cancer: the NIH-AARP diet and health study. Am J Epidemiol. 2008;168(1):38–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Lü JM, Lin PH, Yao Q, Chen C. Chemical and molecular mechanisms of antioxidants: experimental approaches and model systems. J Cell Mol Med. 2010;14(4):840–60.

    Article  CAS  PubMed  Google Scholar 

  38. Li YH, Niu YB, Sun Y, Zhang F, Liu CX, Fan L, et al. Role of phytochemicals in colorectal cancer prevention. World J Gastroenterol. 2015;21(31):9262–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Jaganathan SK, Vellayappan MV, Narasimhan G, Supriyanto E, Dewi DEO, Narayanan ALT, et al. Chemopreventive effect of apple and berry fruits against colon cancer. World J Gastroenterol: WJG. 2014;20(45):17029–36.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Kunzmann AT, Coleman HG, Huang W-Y, Kitahara CM, Cantwell MM, Berndt SI. Dietary fiber intake and risk of colorectal cancer and incident and recurrent adenoma in the prostate, lung, colorectal, and ovarian Cancer screening trial. Am J Clin Nutr. 2015;102(4):881–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Aune D, Chan DS, Lau R, Vieira R, Greenwood DC, Kampman E, et al. Dietary fibre, whole grains, and risk of colorectal cancer: systematic review and dose-response meta-analysis of prospective studies. BMJ. 2011;343:d6617.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Demeyer D, Mertens B, De Smet S, Ulens M. Mechanisms linking colorectal Cancer to the consumption of (processed) red meat: a review. Crit Rev Food Sci Nutr. 2016;56(16):2747–66.

    Article  CAS  PubMed  Google Scholar 

  43. Chiavarini M, Bertarelli G, Minelli L, Fabiani R. Dietary intake of meat cooking-related mutagens (HCAs) and risk of colorectal adenoma and Cancer: a systematic review and Meta-analysis. Nutrients. 2017;9(5):514.

    Article  CAS  PubMed Central  Google Scholar 

  44. Cho H, Budhathoki S, Kanehara R, Goto A, Yamaji T, Kakugawa Y, et al. Association between dietary sugar intake and colorectal adenoma among cancer screening examinees in Japan. Cancer Sci. 2020;111(10):3862–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Pacheco LS, Anderson CAM, Lacey JV Jr, Giovannucci EL, Lemus H, Araneta MRG, et al. Sugar-sweetened beverages and colorectal cancer risk in the California teachers study. PLoS One. 2019;14(10):e0223638.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Zhang R, Xu G-L, Li Y, He L-J, Chen L-M, Wang G-B, et al. The role of insulin-like growth factor 1 and its receptor in the formation and development of colorectal carcinoma. J Int Med Res. 2013;41(4):1228–35.

    Article  CAS  PubMed  Google Scholar 

  47. Yakoob MY, Baig-ansari N. Dietary Sodium (salt) Intake and Risk of Colorectal Cancer: A Systematic Review (P05–039-19). Curr Dev Nutr. 2019;3(9).

Download references


The authors thank all study participants, without whom, the current study would have been impossible.


This study has not receive funds from organization and people.

Author information

Authors and Affiliations



Formal analysis: MG and SJN, Investigation: SJN, NM, PR and AB, Resources: AS and MH, Writing: SJN, MG and EH, Review and editing: CCC and EH, Visualization: EH and AS, Supervision: EH. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ehsan Hejazi.

Ethics declarations

Ethics approval and consent to participate

Informed consent was provided by all of the participant indicating they participated in this study by their own will and they were informed that results would be published later.

This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving research study participants were approved by the ethics Committee of Shahid Beheshti University of Medical Sciences.

Consent for publication


Competing interests

The authors declare that they have 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 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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 The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jafari Nasab, S., Ghanavati, M., Rafiee, P. et al. A case-control study of Dietary Approaches to Stop Hypertension (DASH) diets, colorectal cancer and adenomas among Iranian population. BMC Cancer 21, 1050 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: