Volume 10, Issue 3 (May & Jun 2020)                   J Research Health 2020, 10(3): 193-200 | Back to browse issues page

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Esmaeili M, Kianmehr M, Rasekhi H, Basirimoghadam A, Kianmehr M, Pouryousef M et al . Identifying the Dominant Dietary Patterns Among Adults in Gonabad City in 2019. J Research Health. 2020; 10 (3) :193-200
URL: http://jrh.gmu.ac.ir/article-1-1829-en.html
1- Department of Social Sciences, Faculty of Human Sciences, Islamic Azad University, Gonabad Branch, Gonabad, Iran.
2- Department of Medical Physics, Faculty of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.
3- Department of Nutrition, Faculty of Nutrition Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
4- Faculty of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.
5- Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran.
6- Department of Human Sciences, Shahid Rajaei Institute for Teacher Training, Torbat Heydariyeh, Iran.
7- Department of Social Sciences, Faculty of Human Sciences, Islamic Azad University, Gonabad Branch, Gonabad, Iran. , meskafi@yahoo.com
Keywords: Diet, Healthy, Demography, Adult
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Nutrition has a direct relationship with physical and mental health, and consuming enough nutrients helps to maintain one’s health and efficiency [1]. A healthy diet can decrease the risk of progressive diseases such as cardiovascular diseases, obesity, cancers, and diabetes [2]. Food is one of the essential modifiable factors in health [3], and many patients tend to make changes to their diet to alleviate the pain caused by the disease [4].
Analysis of dietary patterns can provide researchers with more information on the etiology of nutritional diseases. The American Dietetic Association also suggests that good nutritional messages for people should emphasize on nutritional habits rather than foods [5]. Conceptually, the study of dietary habits is even harder in reality because people do not receive nutrients separately and eat different foods that can overlap or have a synergistic effect on each other [6-9]. Dietary patterns provide a good picture of the diets and nutritional habits of individuals in the community. Furthermore, these models help to identify people at risk of chronic diseases and provide appropriate advice [10]. Via identifying nutritional patterns of each region, nutritionists can offer dietary recommendations to improve dietary habits. Nutritionists need to consider the relevance of demographic factors with dietary habits to design nutrition programs, nutrition education, and nutritional interventions for different groups of society [8, 11].
Information on dietary patterns in Iran is limited and sometimes even contradictory [2, 3, 12-16]. Nutrition problems are associated with adverse social, economic, and health consequences. These outcomes include reduce workforce, increase in treatment costs, increase in mortality rates and diseases, reduce the Intelligent Quotient (IQ) and learning skills, and generally decrease in mental and physical abilities that put the country at risk. Given the high prevalence of non-communicable diseases related to nutrition, and no study of nutritional patterns in Gonabad City, Iran, This study aims to determine the dominant dietary patterns in adults living in Gonabad in 2019.
This study was a cross-sectional analytical study. The study population consisted of male and female adults living in Gonabad City in 2019. For the factor analysis, 24 food groups of dominant dietary patterns were studied based on Table 1 [8]. For each variable, at least 10 people were needed [17, 18], so the sample size was set at 240 individuals. To account for the 10% dropout, the final sample size was set at 264. The samples were selected using multistage random sampling, using a combination of simple, systematic, and random cluster sampling methods. The sampling method was tested on the patients who referred to Gonabad health centers. Then based on the number of populations covered by that center, the required sample size was calculated, and several clusters were selected. In each zone, based on the systematic sampling of each family, one eligible person in a family was randomly interviewed and completed the questionnaires. 

The inclusion criteria were aged between 18 and 70 years, Gonabad resident for at least 5 years, stable physiological and psychological status, and Farsi literate to answer questions. Pregnant or breast-feeding women, people with a history of chronic diseases, people with disorders of the thyroid gland, and weight loss or obesity diet, were excluded [19]. After obtaining written informed consent, the researchers collected demographic and nutritional information of the samples via interview and completing the food frequency questionnaire. Those who didn’t respond to more than 50% of the food frequency questionnaire were excluded [16, 20, 21], so 250 remained for the final analysis.
Dietary information was collected by the food frequency questionnaire containing 168 types of nutrients along with a standard amount of each nutrient for individuals. The participants were asked to report their consumption frequency of each food item in the past year by the type of food on a daily (e.g., bread), weekly (e.g., rice), or monthly (e.g., fish) basis. The values listed for each meal were calculated using the home-scale guide to grams, then the gram intake of each food per day was calculated for each individual [7]. Food items are grouped into one factor based on their degree of correlation. Each score for a particular dietary pattern was calculated by multiplying the amount of each food consumed in that pattern. Then, the participants were classified according to the quota of dietary habits [7, 19, 22, 23, 24]. Demographic characteristics were age, sex, occupation, education, marital status, and the number of family members. The relationship between dominant dietary patterns and demographic factors was assessed.
For statistical analysis, the obtained data were fed in SPSS v. 14. The dominant dietary patterns (factors) were identified utilizing factor analysis. The participants were scored for each identified food pattern [25]. Factor naming was completed based on the interpretation of the food items per factor and according to previous studies [26]. The Chi-square test was used to investigate the relationship of dominant dietary patterns with demographic factors. The significance level of less than 0.05 was considered for statistical analysis.
The participants’ Mean±SD age was 36.40 ±13.16 years, of whom 112 were male and 138 were female. Also, 206 were married and 44 were single. The number of family members in the study ranged 3-4 (53.2%).
Factor analysis revealed two factors that explained 32.71% of the variance in dietary patterns. The healthy nutritional pattern consisted of poultry, fish, vegetables, offal, potatoes, fruits, natural juices, dried fruit, jams, compotes, tomatoes, and dairy, which accounts for 14.74% of the variance in dietary patterns. The unhealthy dietary habit that included sweet snacks, salty snacks, beverages, coffee, tea, mayonnaise, salt, processed meats, refined cereals, red meats, sweets, and solid fats accounts for 17.97% of the variance in dietary patterns (Table 2). Besides, factor loadings of corn, egg, nuts, seeds and pips, liquid fat, and whole grains were less than 0.2 and did not fit into any of the dominant patterns.

In this study, two dominant dietary patterns were obtained. The most common factor in the unhealthy and healthy dietary pattern is the sweet snack food group (0.77) and then the chicken and fish diet (0.65). The minimum load factor in the unhealthy dietary pattern was observed in the solid fat group (0.21) and the healthy dietary pattern was seen in the dairy group (0.33). The relationship between adherence to each of the healthy and unhealthy dietary patterns with the demographic characteristics of the participants is shown in Table 3.
With aging, adherence to a healthy and unhealthy diet pattern increases. Adherence to a healthy and unhealthy dietary pattern was significantly higher in men than in women. Furthermore, it seems that following a healthy diet pattern is more common in employed people than in jobless individuals. As the number of family members increases, adherence to an unhealthy diet pattern increases.
In this study, two major dietary patterns were extracted using factor analysis on data from 250 people between 18-70 years in Gonabad City. Based on prior knowledge and the nutritional ingredients of each dietary pattern, they were named “healthy eating pattern” and “unhealthy eating pattern”.
There were many similarities between the dietary patterns obtained in this study and previous studies. An unhealthy pattern observed in this study was similar to the unhealthy habit obtained in the survey by Rezazadeh et al. [27] and the Western model identified in the study of Ismailzadeh and Azadbakht [28]. An unhealthy pattern consists of high consumption of refined grains, fried potatoes, high-fat dairy, red or processed meat, hydrogenated fats, and sweets. The healthy dietary pattern observed in this study was similar to the healthy groups of fruits, vegetables, and poultry in the study of Rezazadeh et al. [27], Mirmiran et al. [17], and Azadbakht and Ismailzadeh [29]. The similarity between healthy and unhealthy dietary patterns of the present study and the previous studies is probably due to the survey on Iranians diet, the comparative similarity of the age groups, the use of similar food frequency questionnaires, and the relative similarity of food groupings. On the other hand, differences can also be justified due to different dietary preferences in different parts of the country and the inclusion of both sexes in the present study.
The nutritional patterns of the present study were similar to those found in other studies around the world, such as the Mediterranean dietary pattern in terms of high consumption of vegetables, fruits, poultry, nuts, and potatoes. In the study of Spanish men and women [30], the dietary pattern mostly consists of fruits, cereals, vegetables, and high consumption of low-fat milk. Fruits and vegetables were more frequently consumed according to the study on the nutritional profiles of Hispanic women living in the US [31]. According to a study of dietary patterns in Korean men and women residing in the US [32], dietary patterns are formed by vegetables, fruits, and milk. Another study showed that American men and women [33] dietary patterns include fruits, vegetables, and dairy. In another study on English women [34], it appeared that they had the same nutritional habits found in this study. 
A Japanese study of adults identified three nutritional patterns: 1. Japanese dietary patterns, including soy products, fish, algae, vegetables, fruits, and green tea, 2. dietary pattern of animal foods, and 3. dietary pattern of dairy, fruits, vegetables, and low alcohol [35]. Naja et al. identified three nutritional patterns in Lebanese adults: ready meals, traditional foods, and a high-protein diet [36]. Sung and Jong identified 3 dietary habits among people over 20 years in Korea. First is the classic diet pattern with high consumption of rice, Kimchi, and local food. Second is meat and alcohol diet pattern with high consumption of processed meats. The third is the healthy Korean habit with high consumption of eggs, milk, bread, and noodles [37]. Chew et al. identified three dietary habits among 30-70 years old Koreans: the vegetable-seafood diet, the meat-fat diet, and the snack diet [38].
The dietary patterns obtained in the present study are derived from the data collected in a specific population of Iran (Gonabad). Therefore, it is not expected to be entirely accurate in communities that have different eating habits. Due to geographical, cultural, racial, and other differences, the food pattern of one city cannot be generalized for another town of the same country.
Knowing the nutritional patterns of each community and its relation to demographic factors can help plan for nutrition education and intervention [11]. Numerous studies have investigated dietary habits and their relationship with demographic factors.
Aging shifts unhealthy dietary patterns to healthy eating patterns [39]. It is likely that as people grow older, their concern for their health will guide them to a healthier diet. Most studies have shown that age has an inverse positive relationship with healthy dietary habits in Western dietary patterns [30, 33, 35]. Aging results in a decrease in fat intake and healthier nutrition [20]. Younger people are more likely to follow an unhealthy dietary pattern, while older people tend to a more robust dietary pattern [40]. The results of our study on healthy habits were consistent with previous studies.
Men consume significantly more fat than women, while women eat more vegetables than men [20]. Higher scores of women in the healthy dietary pattern and men’s in the Western nutritional pattern have been shown in previous studies. Higher scores of women could be because of women’s higher awareness of food, nutrition, health, considerable attention to their appearance, higher preference for the taste of healthy eating, and spending more time preparing food than men [30, 33, 35]. In the current study, men were more likely to adhere to both healthy and unhealthy patterns.
Hosseini Isfahani et al. study showed that married people were more likely to have a healthy dietary pattern than single people. In men, being single was mostly related to following the Western pattern; however, following the healthy habit was positively associated with being married for women. A study in Hong Kong found that married women had a more robust habit of eating vegetables and fish than single people [8]. Another study in the UK found that married people had a better habit of fruits and vegetable consumption [34]. The results of this study showed no significant relationship with marital status.
In the present study, adherence to an unhealthy dietary pattern significantly increased with a growing number of family members, which is in agreement with the results of recent studies. Individuals with the highest quartiles of unhealthy dietary patterns had larger families than those with the lower quartiles [19]. Individuals with a nuclear family were associated with a healthy dietary pattern [40]. The results of a study by Lin et al. show that people with an unhealthy diet had a higher number of family members than those with whole fruit and cereal diets [31].
One of the strengths of the present study was to investigate both sexes and controlled the effect of many confounding variables, especially the impact of having a specific diet and a history of type 2 diabetes. Since people with these diseases usually follow an unhealthy dietary pattern during the years of fat accumulation in their bodies or before the disease was diagnosed.
However, this study has its limitations. In assessing food intake, there might be some reporting errors about food items, especially since memory dependence and the ability of direct memory measurements are the main limitations of this study. In this study, the limitations were partially eliminated by excluding people who did not complete 50% of the food frequency questionnaire. Another limitation of the present study is its cross-sectional nature that does not allow for causal conclusions, and the findings should be confirmed in prospective studies.
It is suggested that similar studies, especially prospective ones be conducted in other cities and villages of Iran to consider geographical and cultural differences. It is necessary to identify similarities and differences in diet patterns in different regions and develop appropriate guidelines to improve the nutritional status of the whole country.
In this study, Western (unhealthy) and healthy food patterns were identified. The results of the current study confirm the prevalence of Western dietary habits, especially in younger individuals in Iran. Fast foods, sweet drinks, high-fat meat products, sugar, and salt have become more common. Demographic status plays a vital role in determining the type of dietary pattern. Therefore, these factors should be considered in designing and implementing intervention programs to improve the nutritional status of individuals. Of course, the patterns of food in different regions of the world and even in one country vary according to geographical, cultural, social, and economic factors. Consequently, the results cannot be generalized to the whole population.
Ethical Considerations
Compliance with ethical guidelines
This research was reviewed and approved by the Ethics Committee in Gonabad University of Medical Sciences (Code: IR.GMU.REC.1397.060 and proposal code: p/1397/060).
This research was extracted from the research project (Code: p/1397/060), funded by University of Gonabad University of Medical Sciences.
Authors' contributions
Study design: Maryam Esmaeili, Mojtaba Kianmehr, Hamid Rasekhi, Maryam Eskafi Noghani.‎
Data collection and analysis: Maryam Esmaeili, Mojtaba Kianmehr, Hamid Rasekhi, Amirhosein Basirimoghadam, Mehrdad Kianmehr, Mustafa Pouryousef. ‎
Manuscript preparation: Maryam Esmaeili, Mojtaba Kianmehr, Hamid Rasekhi, Amirhosein Basirimoghadam, Mehrdad Kianmehr, Mustafa Pouryousef, Maryam Eskafi Noghani.‎
All authors have read and approved the final version.‎
Conflict of interest
The authors declared no conflict of interest.
The authors would like to thank the Vice Chancellor for Research of Gonabad University of Medical Sciences and all the individuals who participated in the study.

WHO. Promoting mental health: Concepts, emerging evidence, practice [Internet]. 2005 Available from: https://www.who.int/mental_health/publications/promoting_mh_2005/en/
Najmabadi Sh, Nojomi M. [Nutritional supplement use among adults in different areas of west Tehran (Persian)]. Iran J Endocrinol Metab. 2010; 12(4):365-75. http://ijem.sbmu.ac.ir/article-1-822-en.html
Safarian M, Shojaeizadeh MS, Ghayour-Mobarhan M, Esmailie H, Nematy M, Razavi A. [Investigation of dietary patterns, healthy eating index and traditional risk factors of cardiovascular disease in 35-65 years old adults of Mashhad (Persian)]. Med J Mashhad Univ Med Sci. 2013; 56(4):226-35. https://www.sid.ir/en/journal/ViewPaper.aspx?id=385000
Keramati M, Shariati Bafghi E, Rajaii AR, Rashidkhani B. [The association between dietary patterns and bone mineral density in a sample of postmenopausal women living in Tehran (Persian)]. Iran J of Nutr Sci Food Technol. 2012; 7(1):51-62. http://nsft.sbmu.ac.ir/article-1-694-en.html
Rashidkhani B, Haji Zadeh Armaki B, Hoshiyarrad A, Moasheri M. [Dietary patterns and risk of squamous-cell carcinoma of esophagus in Kurdistan Province, Iran (Persian)]. Iran J of Nutr Sci Food Technol. 2011; 3(3):11-21. http://nsft.sbmu.ac.ir/article-1-91-en.html
Freeland-Graves J, Nitzke S. Position of the American dietetic association: Total diet approach to communicating food and nutrition information. J Am Diet Assoc. 2002; 102(1):100-8. [DOI:10.1016/S0002-8223(02)90030-1]
Mohammad Shahi M, Heidari F, Moula K, Helli B, Ijadi M, Amirian Z, Hafizi N. [Association of dietary patterns and indicators of disease activity in patients with rheumatoid arthritis (Persian)]. Iran J of Nutr Sci Food Technol. 2014; 9(3):9-20. http://nsft.sbmu.ac.ir/article-1-1486-fa.html
Aghapour B, Rashidi A, Dorosti-Motlagh AR, Mehrabi Y. [The association between major dietary patterns and overweight or obesity among Iranian adolescent girls (Persian)]. Iran J of Nutr Sci Food Technol. 2013; 7(5):289-99. http://nsft.sbmu.ac.ir/article-1-1015-en.html
Hosseyni Esfahani F, Jazayeri A, Mirmiran P, Mehrabi Y, Azizi F. [Dietary patterns and their association with socio-demographic and lifestyle factors among Tehrani adults: Tehran lipid and glucose study (Persian)]. J Sch Public Health and Inst Public Health Res. 2008; 6(1):23-36. http://sjsph.tums.ac.ir/article-1-149-en.html
Slattery M. Analysis of dietary patterns in epidemiological research. Appl Physiol Nutr Metab. 2010; 35:207-10. [DOI:10.1139/H10-006] [PMID]
Tarighat Esfanjani A, Ebrahimi Mameghani M, Asghari Jafarabadi M, Jafari Vayghan H, Ghadimi SS. [Identification of major dietary patterns in Tabriz adults (Persian)]. Med J Tabriz Univ Med Sci Health Serv. 2016; 38(2):48-55. https://www.magiran.com/paper/1549371?lang=en 
Barkoukis H. Importance of understanding food consumption patterns. J Am Diet Assoc. 2007; 107(2):234-6. [DOI:10.1016/j.jada.2006.12.024] [PMID]
Ghaneh Basiri M, Sotodeh G, Jalali M, Eshraghian MR, Noorshahi N, Rafiee M, et al. [Major dietary patterns and the risk of general and central obesity among type 2 diabetic patients (Persian)]. Razi J Med Sci. 2014; 21(125):53-65. http://rjms.iums.ac.ir/article-1-3414-en.html
Sobhani SR, Pouraram H, Keshtkar A, Dorosti AR. [Major dietary patterns and their association with weight status in school age rural children of Bijar, Kordestan (Persian)]. Iran J Nutr Sci Food Technol. 2016; 11(2):35-46. https://www.sid.ir/en/journal/ViewPaper.aspx?id=505926
Falahi E, Anbari Kh. [Identification of dietary patterns among Iranian adults (Persian)]. Yafte. 2013; 14(5):29-39. http://yafte.lums.ac.ir/article-1-1109-en.html
Alizadeh M, Mohtadinia J, Pourhassan Gargari B, Esmaillzadeh A. [Major dietary patterns among adolescent girls (Persian)]. Med J Tabriz Univ Med Sci. 2009; 31(3):63-9. https://www.sid.ir/en/journal/ViewPaper.aspx?id=167345
Esmaillzadeh A, Azadbakht L, Kimiagar M. [Dietary pattern analysis: A new approach to identify diet-disease relations (Persian)]. Iran J Nutr Sci & Food Technol. 2007; 2(2):71-80. http://nsft.sbmu.ac.ir/article-1-43-en.html
Mirmiran P, Jazayery A, Hosseini Esfahani F, Mehrabi Y, Azizi F. [Change in food patterns of Tehrani adults and its association with changes in their body weight and body mass index in district 13 of Tehran: Tehran lipid and glucose study (Persian)]. Iran J Nutr Sci & Food Technol. 2008; 2(4):67-80. http://nsft.sbmu.ac.ir/article-1-60-en.html
Dixon JK. Exploratory factor analysis. In :Munro BH, editor. Statistical methods for health care research. Philadelphia: Lippincott Williams & Wilkins; 2005. https://books.google.com/books?id=a34z_Ah2-LgC&dq
Shaneshin M, Nazary F. [Major dietary pattern and associate ion with between obesity and central obesity in adult women of Bushehr city(Persian)]. Iran S Med J. 2015; 18(1):1-14. http://ismj.bpums.ac.ir/article-1-643-en.html
Alizadeh Aghdam MB. [A sociological analysis of food-style among Tabriz citizens (Persian)]. Soc Welf Q. 2012; 12(44):285-318. http://refahj.uswr.ac.ir/article-1-922-en.html
Fallah Moshkani R, Saneei P, Esmaillzadeh A, Hassanzadeh Keshteli A, Feizi A, Adibi P. [Association between patterns of dietary habits and obesity in Iranian adults (Persian)]. Iran J Nutr Sci Food Technol. 2016; 11(2):19-34. https://www.sid.ir/en/journal/ViewPaper.aspx?id=505925
Mirmiran P, Esfahani FH, Mehrabi Y, Hedayati M, Azizi F. Reliability and relative validity of an FFQ for nutrients in the Tehran lipid and glucose study. Public Health Nutr. 2010; 13(5):654-62. [DOI:10.1017/S1368980009991698] [PMID]
Zhang CX, Ho SC, Fu JH, Cheng SZ, Chen YM, Lin FY. Dietary patterns and breast cancer risk among Chinese women. Cancer Causes Control. 2011; 22(1):115-24. [DOI:10.1007/s10552-010-9681-8] [PMID]
Buck K, Vrieling A, Flesch-Janys D, Chang-Claude J. Dietary patterns and the risk of postmenopausal breast cancer in a German case-control study. Cancer Causes Control. 2011; 22(2):273-82. [DOI:10.1007/s10552-010-9695-2] [PMID]
Damirchi A, Mehrabani J, Mohebbi H, Sharifi H. [Physical activity, obesity, dietary patterns, and general health among males in Arak, Iran (Persian)]. Tabari Biomed Stud Res J. 2016; 2(2):9-18. http://tbsrj.mazums.ac.ir/article-1-3544-en.html
Newby PK, Weismayer C, Akesson A, Tucker KL, Wolk A. Longitudinal changes in food patterns predict changes in weight and body mass index and the effects are greatest in obese women. J Nutr. 2006; 136(10):2580-87. [DOI:10.1093/jn/136.10.2580] [PMID]
Rezazadeh A, Rashidkhani B. The association of general and central obesity with major dietary patterns in adult women living in Tehran, Iran. ARYA Atherosclerosis J. 2010; 6(1): 23-30. [PMID] [PMCID]
Esmaillzadeh A, Azadbakht L. Major dietary patterns in relation to general obesity and central adiposity among Iranian women. J Nutr. 2008; 138(2):358-63. [DOI:10.1093/jn/138.2.358] [PMID]
Azadbakht L, Esmaillzadeh A. Dietary and non-dietary determinants of central adiposity among Tehrani women. Public Health Nutr. 2008; 11(5):528-34. [DOI:10.1017/S1368980007000882] [PMID]
Sanchez-Villegas A, Delgado-Rodríguez M, Martinez-Gonzalez MA, de Irala-Estévez J. Gender, age, socio-demographic and lifestyle factors associated with major dietary patterns in the Spanish Project SUN (Seguimiento Universidad de Navarra). Eur J Clin Nutr. 2003; 57(2):285-92. [DOI:10.1038/sj.ejcn.1601528] [PMID]
Kerver JM, Yang EJ, Bianchi L, Song WO. Dietary patterns associated with riskfactor for cardiovascular disease in healthy US adults. Am J Clin Nutr. 2003; 78(6):1103-10. [DOI:10.1093/ajcn/78.6.1103] [PMID]
Lin H, Bermudez OI, Tucker KL. Dietary patterns of Hispanic elders are associated with acculturation and obesity. J Nutr. 2003; 133(11):3651-7. [DOI:10.1093/jn/133.11.3651] [PMID]
Mendez MA, Popkin BM, Jakszyn P, Berenguer A, Tormo MJ, Sanchéz MJ, et al. Adherence to a Mediterranean diet is associated with reduced -year incidence of obesity. J Nutr. 2006; 136(11):2934-8. [DOI:10.1093/jn/136.11.2934] [PMID]
Park SY, Murphy SP, Wilkens LR, Yamamoto JF, Sharma S, Hankin JH, et al. Dietary patterns using the food guide pyramid groups are associated with sociodemographic and lifestyle factors: The multiethnic cohort study. J Nutr. 2005; 135(4):843-9. [DOI:10.1093/jn/135.4.843] [PMID]
Mc Naughton SA, Mishra GD, Stephen AM, Wadsworth ME. Dietary patterns throughout adult life are associated with body mass index, waist circumference, blood pressure, and red cell folate. J Nutr. 2007; 137(1):99-105. [DOI:10.1093/jn/137.1.99] [PMID]
Rashidkhani B, Ye W, Terry P, Wolk A. Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. J Nutr. 2004; 134(6):1541-5. [DOI:10.1093/jn/134.6.1541] [PMID]
Lopez-Garcia E, Schulze MB, Fung TT, Meigs JB, Rifai N, Manson JE, et al. Major dietary patterns are related to plasma concentration and endothelial dysfunction. Am J Clin Nutr. 2004; 80(4):1029-35. [DOI:10.1093/ajcn/80.4.1029] [PMID]
Fung TT, Schulze M, Manson JE, Willett WC, Hu FB. Dietary patterns, meat intake, and the risk of type diabetes in women. Arch Intern Med. 2004; 164(20):2235-40. [DOI:10.1001/archinte.164.20.2235] [PMID]
Shimazu T, Kuriyama S, Hozawa A, Ohmori K, Sato Y, Nakaya N, et al. Dietary patterns and cardiovascular disease mortality in Japan: A prospective cohort study. Int J Epidemiol. 2007; 36(3):600-9. [DOI:10.1093/ije/dym005] [PMID]
Type of Study: Orginal Article | Subject: Health Sociology
Received: 2019/09/28 | Accepted: 2020/01/21 | Published: 2020/06/14

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