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Development of an index to assess adherence to the traditional Mexican diet using a modified Delphi method

Published online by Cambridge University Press:  13 November 2020

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Abstract

Objective:

Promoting a traditional Mexican diet (TMexD) could potentially reduce high rates of non-communicable diseases (NCD) and support food sustainability in Mexico. This study aimed to develop an index to assess adherence to the TMexD.

Design:

A three-round Delphi study was conducted to examine the food groups, specific foods and food-related habits that would constitute a TMexD index. Participants selected the TMexD items using Likert scales, lists of responses, and yes/no questions. Consensus was determined using percentages of agreement, mean values and/or coefficients of variation.

Setting:

Online Delphi study.

Participants:

Seventeen nutrition and food experts in Mexico completed all three rounds.

Results:

The resulting index (ranging from 0 to 21 points) consisted of 15 food groups, containing 102 individual foods. Food groups included in higher quantities were maize, other grains, legumes, vegetables, fruits, herbs, nuts and seeds, and tubers. Animal foods, vegetable fats and oils, homemade beverages, maize-based dishes, and plain water were also included, but in lower quantities. The food-related habits included were consuming homemade meals, socialising at meals and buying food in local markets. Consensus was reached for all index items apart from quantities of consumption of six food groups (herbs, nuts, grains, tubers, dairy and eggs).

Conclusions:

Although future research could improve the measures for which consensus was not reached, the TMexD index proposed in this study potentially displays a healthy and sustainable dietary pattern and could be used to examine links between the TMexD and health outcomes in Mexican populations.

Type
Research paper
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society

Both in Mexico and globally, non-communicable diseases (NCD) are considered major public health concerns(13). However, the proportion of the Mexican population meeting dietary guidelines remains low(Reference Aburto, Pedraza and Sánchez-Pimienta4,Reference Batis, Aburto and Sanchez-Pimienta5) , and dietary factors pose among the highest risks for disability-adjusted life-years(Reference Gómez-Dantés, Fullman and Lamadrid-Figueroa6,Reference Forouzanfar, Alexander and Anderson7) . According to international health organisations, promoting traditional diets, which refer to dietary patterns influenced by the food culture of the region, could reduce high NCD rates worldwide(8,Reference Burlingame and Dernini9) . Traditional diets are not only considered compatible with health(Reference Trichopoulou, Soukara and Vasilopoulou10,Reference Trichopoulou, Vasilopoulou and Georga11) but also potentially sustainable, as they are culturally sensitive, promote biodiversity, food security, support local economies, and have a low environmental impact(Reference Burlingame and Dernini9).

The traditional Mexican diet (TMexD) could potentially be promoted as a healthy and sustainable diet in Mexico. However, the different definitions of the TMexD have hampered the examination of the association of this dietary pattern with health and food sustainability outcomes. To date, a concise tool to assess adherence to the TMexD does not exist, as the available tools(Reference Santiago-Torres, Tinker and Allison12,Reference Almaguer González, García Ramírez and Vargas Vite13) do not measure all relevant food groups or do not provide information on the specific quantities for all food groups represented(Reference Valerino-Perea, Lara-Castor and Armstrong14). Although a recent systematic review highlighted the foods characterised as ‘traditionally Mexican’, some clarification is still needed to measure adherence to this dietary pattern(Reference Valerino-Perea, Lara-Castor and Armstrong14). For instance, it is uncertain whether including some products typically consumed in Mexico in ancient times (e.g. insects) would be currently feasible. Likewise, the quantities in which food groups are consumed in the TMexD still needs to be established. Complementary methodologies are needed to objectively develop a concise but comprehensive TMexD index. The Delphi technique could address this objective, as it constitutes an iterative process where experts on a specific subject discuss and reach a consensus on complex and unclear matters(Reference Hasson, Keeney and McKenna15Reference Yousuf19).

The current study aimed to develop, using the Delphi technique, an index to measure adherence to the TMexD. In this study, nutrition and food experts in Mexico were invited to achieve consensus on the elements to be included in an index that measures adherence to the TMexD in healthy adults (aged ≥ 20 years, as defined in the Mexican National Health and Nutrition Survey(Reference Romero-Martínez, Shamah-Levy and Vielma-Orozco20)). Specifically, the main objective was to determine the food groups which need to be represented in the TMexD index. Secondary objectives were to identify the food quantities, food-related habits, and specific individual foods that accurately reflect a TMexD and that should be included in the index.

Methods

This study used a modified Delphi approach to develop the TMexD index. Broadly, the Delphi method consists of consecutive questionnaires or ‘rounds’. During the first round, experts complete an initial questionnaire and receive feedback, which generally includes basic descriptive statistics and qualitative feedback representing the responses of the group. In this study, we provided participants with qualitative feedback and statistical data (represented as graphical data) on their own responses and the group’s responses, as recommended in the literature(Reference Allen, Prosperi and Cogill18,Reference Belton, MacDonald and Wright21Reference Trevelyan and Robinson23) . In the second round, the experts complete a second questionnaire, which is designed based on the previous round’s feedback and the participants can either confirm or amend their previous responses, which are also provided to them as a reminder(Reference Okoli and Pawlowski24,Reference Landeta25) . This process is reiterated until a consensus has been reached or until the number of pre-established rounds has been completed(Reference Diamond, Grant and Feldman26). This study aimed to conclude the process after three rounds in order to prevent participant attrition(Reference Trevelyan and Robinson23). The study was conducted through the Bristol Surveys online platform from September 2019 to December 2019, and the questionnaires were pilot-tested with non-participants to ensure comprehension. Participants completed the questionnaire using a numerical identifier only to ensure anonymity.

Selection of experts

Eligible participants were chosen due to their knowledge and experience on the TMexD. This was assessed as having at least one publication (including academic publications and grey literature) regarding the TMexD (e.g. nutrition transition in Mexico, traditional Mexican foods, Mexican food culture and traditions). To generate a heterogenous sample, the experts invited included dietitians, other health professionals (e.g. medical doctors, epidemiologists), anthropologists, culinary arts professionals and economists. Participants were identified through adapted selection criteria recommended for Delphi studies(Reference Okoli and Pawlowski24) (see online supplementary material, Supplemental Figure S1). The online questionnaire was only sent to experts who agreed to participate, and the follow-on questionnaires were sent only to those completing the previous round. We attempted to maintain high participation rates using personal communication, questionnaire reminders and short time periods between rounds(Reference Belton, MacDonald and Wright21,Reference Trevelyan and Robinson23) .

First round

Since we previously conducted an extensive systematic review on the topic that highlighted the foods and food groups characterised as ‘traditionally Mexican’(Reference Valerino-Perea, Lara-Castor and Armstrong14), the first Delphi round consisted of a questionnaire with mostly closed-ended questions (see online supplementary material, Supplemental Materials II), rather than the original Delphi format of open-ended questions(Reference Hasson, Keeney and McKenna15,Reference Hsu and Sandford16) . This practice is common when previous research on the topic has been conducted(Reference Hsu and Sandford16,Reference Brady27,Reference Paré, Cameron and Poba-Nzaou28) . The questionnaire was divided into three major sections.

In the first section, participants were asked to rate the food groups to be included in a TMexD index. Agreement of inclusion in the index was measured using a five-point scale (totally disagree, disagree, indifferent, agree and totally agree). The food groups included were based on results from the systematic review(Reference Valerino-Perea, Lara-Castor and Armstrong14), but participants could also suggest additional food groups. Participants were also asked if all food groups should be equally important in the index and required equal weights (i.e. each food group should be awarded one point if its recommendation in the index is met), or if some food groups required a different weight (i.e. if some food groups should be awarded more points if their recommendation is met). Participants were asked to suggest the quantities in which the aforementioned food groups were consumed in the TMexD, as intended for healthy adults. For this purpose, participants could indicate both the weekly frequencies and daily portions consumed in the TMexD. The list of weekly frequencies ranged from 0 to 7 (0, < 1, 1, 2 … to 7) and the list of daily portions ranged from 0 to > 7 (0, < 1, 1, 2 … to 7 +). For example, if participants considered that two portions of fruits were consumed in the TMexD every day, they would have selected ‘seven’ in the weekly frequency and ‘two’ in the daily portions. The participants were asked to calculate these quantities based on images of standard portion sizes and descriptions of common measurements (e.g. pieces of fruit, handful and size of the palm) (see online supplementary material, Supplemental Materials II).

In the second section, participants were asked to report on whether some traditional food-related habits should be included in the index. ‘Cooking your own meals’, ‘eating with family and friends’ and ‘using traditional cooking techniques’ were provided as random habits that characterise other traditional diets(Reference Bach-Faig, Berry and Lairon30). Participants could select these habits using a ‘yes/no’ answer format, and they could also suggest other habits. Finally, they were asked to indicate how these elements needed to be scored in the index (i.e. how many points each habit should be awarded).

In the third section of the questionnaire, participants rated all the individual foods to be included into the food group categories. The foods in this section (and their classification in the food groups) were extracted from our recent systematic review on the TMexD(Reference Valerino-Perea, Lara-Castor and Armstrong14), although foods absent from the Mexican food guidelines(Reference Muñoz de Cháves, Chávez Villasana and Ledesma Solano31Reference Pérez Lizaur, Palacios González and Castro Becerra33) were omitted, as these might not represent current food practices. Participants could nominate additional foods and add comments in each food group section. Participants rated each food item using a three-point scale (disagree, indifferent and agree). Unlike the five-point scale used in the first section of the questionnaire, this simpler scale was used to facilitate completion of the questionnaire, especially since this section included up to 171 elements and the maximum amount of time recommended to complete a Delphi questionnaire, to reduce participant attrition, is 30 min(Reference Belton, MacDonald and Wright21,Reference Okoli and Pawlowski24) . Both the three-point and the five-point scales were chosen to allow participants to provide a ‘neutral’ opinion, should they feel undecided to either include or exclude some foods into the index(Reference Belton, MacDonald and Wright21,Reference Trevelyan and Robinson23) . This approach was considered particularly important if participants were unsure about the meaning of some foods suggested in the list, although a brief explanation of some uncommon foods was provided (see online supplementary material, Supplemental Materials II). Lastly, participants were asked to indicate whether foods that were not deemed ‘traditionally Mexican’ should also be considered when assessing TMexD adherence with the index (e.g. when consuming fruit not included in the index, whether this should be awarded a score, or count towards the total portions of fruits consumed, or not).

Second round

Since 27 % of participants requested clarification on the term ‘traditional diet’ in order to rank the food groups and items that could be included in the index, the second-round questionnaire began by clarifying that the term ‘traditional Mexican diet’ varies largely in the literature and that, while a systematic review was conducted to help inform the questionnaire(Reference Valerino-Perea, Lara-Castor and Armstrong14), the experts’ additional input was necessary to select the specific items that were needed to measure adherence to a TMexD in present time. Participants could then complete the original questionnaire again while having this information, as well as their own and the whole group’s first-round responses.

Some additional minor changes were applied to the second-round questionnaire following participant feedback. In the first section, the food groups suggested by participants were included. Another modification was amending the group ‘maize products’, as 32 % of participants commented on the complexity of suggesting quantities and food items in such a mixed food group. As such, this group was split into ‘maize products’ (e.g. tortilla) and ‘maize-based dishes’ (e.g. tacos). In the food-related habits section, the participants’ suggestions were added and, due to feedback regarding the complexity of measuring these items in an index, participants could now vote on how frequently they thought these habits were performed in the TMexD. In the last section, the individual foods suggested by participants in the first round were also added. However, in this section, other questions were introduced (with yes/no answers) to refine these elements in the index (see online supplementary material, Supplemental Table S1). For example, based on participant feedback, we asked if the group ‘maize-based dishes’ should include both non-fried and fried foods.

Third round

The last round aimed to achieve consensus in all elements to be included in the index. With regard to food groups, those groups for which consensus had already been achieved in previous rounds were eliminated from this section and included in the index (see online supplementary material, Supplemental Table S2). The groups for which ≥ 50 % of participants ‘disagreed’ should be included were eliminated from this round(Reference England, Thompson and Jago34) (i.e. reptiles). Although some authors recommend not excluding data from the last round(Reference Trevelyan and Robinson23), this measure can reduce participant attrition(Reference Trevelyan and Robinson23). Additionally, recommendations to not exclude data in the last round refer mainly to studies using an open-ended question in the first round and not to studies where participants had already completed the same questionnaire in two separate occasions, as in this study. The group ‘sugars and sweeteners’ was separated into ‘natural sweeteners’ and ‘sweet products’, after 78 % of participants suggested so in round 2 (see online supplementary material, Supplemental Table S1).

To achieve consensus on the quantities of food groups consumed in the TMexD index, only options representing most votes in the previous round were provided. For this purpose, food groups were divided into two categories: foods consumed daily (i.e. foods whose consumption was voted as ‘seven days per week’ by ≥ 50 % of participants in round two) and foods consumed less frequently (i.e. foods whose consumption did not meet the > 50 % cut-off). For foods consumed daily, the third round required participants to select the portions consumed in a day, while for foods consumed less frequently, participants selected the portions consumed per week. The available answer options were those representing the majority of votes in previous rounds (i.e. excluding minority votes of < 11 % in round two(Reference Sindi and Roe35)) (see online supplementary material, Supplemental Table S3). To identify the weekly portions of the food groups consumed less frequently, the weekly frequencies were multiplied with the daily portions consumed, as suggested by each participant in the previous round.

To further explore how food-related habits could be incorporated in the index, participants were asked to report how frequently they thought these habits were carried out and other aspects related to these habits (e.g. which specific cooking techniques could be considered).

With regard to individual foods, those that achieved consensus in round two were eliminated from this questionnaire and included in the index. Additionally, the foods that were voted as ‘disagree’ by ≥ 50 % of participants were also eliminated from this round and excluded from the index (i.e. soda). As in the second round, some questions (with yes/no answers) were introduced to refine some elements in the index (see online supplementary material, Supplemental Table S1). Finally, as suggested by some participants, we asked participants to provide their personal reasoning for including or excluding foods and habits into the TMexD index.

Analyses and selection of elements in the index

The criteria used to include items into the index were different for the different sections of the questionnaires. For food groups, which was the main objective of the study, we used a percentage of agreement (either ‘agree’ or ‘totally agree’) of ≥ 75 %, a mean of ≥ 2·75 (in the five-point scale), and a CV of ≤ 0·50 as inclusion criteria(Reference von der Gracht22,Reference Diamond, Grant and Feldman26,Reference England, Thompson and Jago34,Reference Dajani, Sincoff and Talley36) . Percentage of agreement and mean thresholds are the most common measurements of consensus in Delphi studies(Reference Diamond, Grant and Feldman26), while coefficients of variations are the most recommended measurements for variability of responses(Reference Shah and Kalaian37). Only food groups that met all these criteria were included in the index. Since some authors recommend using median values and interquartile ranges instead of means(Reference Belton, MacDonald and Wright21,Reference Trevelyan and Robinson23,Reference Daniels38) , we also used these criteria; all the results were the same (see online supplementary material, Supplemental Table S4). For the food group quantities, we intended to use the majority of votes (i.e. > 50 %) to establish the recommended portions for consumption in the final index. However, this was not possible for all food groups and, when the 50 % cut-off was not achieved, we used plurality instead (i.e. agreement by a large portion of the sample but less than 50 %(Reference Dajani, Sincoff and Talley36)). To specify if the quantities in the index referred to minimum and maximum quantities suggested, we used the Mexican food guidelines as reference(Reference Bonvecchio Arenas, Fernandez-Gaxiola and Plazas Belausteguigoitia39). As such, foods recommended in the guidelines were expressed as the minimum quantities to reach adherence to the TMexD (e.g. fruits and vegetables), while discouraged foods were expressed as maximum quantities allowed (i.e. foods containing saturated fat, cholesterol and sugar).

As for the specific food-related habits, we included those that reached 67 % agreement on inclusion, as suggested in the literature for yes/no questions(Reference von der Gracht22). We used majority of votes (i.e. > 50 %) to measure how often these should take place for someone to adhere to the TMexD.

For including foods into the different food groups, a ≥ 75 % percentage agreement was used as the cut-off point. For questions using yes/no answer options (e.g. should the ‘maize-based dishes’ group include both non-fried and fried foods?), a 67 % cut-off was assumed as agreement. For all sections, if a consensus was not reached for either inclusion or exclusion, the item was excluded, so as to include only elements agreed by most participants.

Statistical analyses were conducted in Stata/MP version 15.1 (StataCorp LLC). Frequencies for open-ended questions were calculated in Microsoft Excel. NVivo (version 12, QSR International Pty Ltd) was used to code and identify, using thematic analysis, the emerging themes related to participants’ conception of traditional diets(Reference Belton, MacDonald and Wright21), both in the question asked in the last round and in all comments provided by participants in all rounds.

Results

Panel characteristics

Of the 51 experts who were invited to participate in the study, 27 accepted and 17 completed all 3 questionnaires (Fig. 1). Participants worked in research (59 %), non-governmental organisations (18 %), teaching (14 %) and consultancies (4 %).

Fig. 1 Participant flow diagram

Traditional Mexican diet index

The food groups included in the TMexD index are presented in Table 1. The scores range from 0 to 21 points, where higher scores reflect higher adherences to the TMexD. The food groups for which no consensus about their inclusion was reached in any of the rounds were ‘alcoholic beverages’, ‘fish and seafood’, ‘natural sweeteners’, ‘sweet products’, ‘insects’, ‘chile’ and ‘quelites’. Since only avocado and vegetable oils were included in the food group fats and oils, the group was renamed to ‘vegetable fats and oils’. The food group quantities (see online supplementary material, Supplemental Tables S5), point allocation criteria (see online supplementary material, Supplemental Tables S6S8) and food-related habits (see online supplementary material, Supplemental Tables S8S10) in the TMexD are also presented in Table 1. When it was not possible to reach majority agreement in the portions consumed in some food groups, the quantity voted for by most participants (i.e. from 35·3 to 47 % agreement) was used to represent recommended portions (Table 1).

Table 1 Traditional Mexican diet index

* This quantity did not reach the consensus of > 50 % participant agreement but was included based on plurality of votes (i.e. agreement by a large portion of the sample but less than 50 %) to provide a specific recommended amount.

Traditional open-air market, which occurs on certain days of the week.

Individual foods in the traditional Mexican diet index

The foods included in each food group (see online supplementary material, Supplemental Table S11) are presented in Table 2. Approximately 33 % of foods did not reach consensus of inclusion in the index. Most participants in all first (46 % agreement), second (56 % agreement) and third (71 % agreement) rounds suggested that foods not mentioned in the index should also count towards the total consumption of foods in that food group (see online supplementary material, Supplemental Table S12). For example, if a person consumed a fruit not listed in Table 2, that fruit would still count towards the portions of fruits consumed.

Table 2 Composition of food groups in the traditional Mexican diet index

* Papaloquelite, verdolaga, huauzontle, chaya, etc.

Orange, lemon, lime, mandarin, and grapefruit.

All cacao drinks like pozol, tascalate, tejate and chilatole.

Participants’ rationale for selecting items to be included in the index

Most participants considered foods highly consumed in Mexico (55 % of participants) and past habits (50 % of participants) as their criteria to select the items in the TMexD index. Other aspects considered, in order of importance, were nutritional aspects, foods consumed in all regions, non-industrialised products, low-cost foods, foods produced or native of Mexico, and those compatible with current environmental issues (see online supplementary material, Supplemental Table S13).

Discussion

The aim of this study was to develop an index for evaluating adherence to the TMexD, using a Delphi consensus study. We used an objective and systematic approach, by involving expert opinion, to propose an index with the food groups (including food quantities), food-related habits and individual foods that reflect a TMexD. To our knowledge, this is the first study to use the Delphi technique to create a dietary pattern index and to create an index to measure adherence to the TMexD. This new index could aid in determining the association of this dietary pattern with health outcomes and could prove indispensable when developing future intervention strategies to promote traditional and sustainable diets and prevent NCD in Mexico.

The proposed TMexD index includes a diverse combination of food groups, most of which are plant-based, such as grains (maize and other grains), legumes, vegetables, fruits, herbs, nuts and seeds, and tubers. Animal foods (i.e. meats, dairy products and eggs) are also present in the index, although in lower quantities. Plain water, fats and oils (in the form of avocado and vegetable oils), as well as homemade beverages and maize-based dishes, were considered to form part of the TMexD and were therefore included in the index.

Some foods were omitted from the index, either because they did not meet the consensus for inclusion or because participants did not consider them to be part of the TMexD. These included alcoholic beverages, fish and seafood, natural sweeteners, sweet products, insects, reptiles, quelites (wild greens) and chile. Perhaps, the potentially complex criteria that participants used to select ‘traditional’ foods was the reason why these foods were not deemed to characterise the whole TMexD. For instance, although health reasons were quoted as justification for selecting traditional foods, sweetened beverages, which are not compatible with health guidelines, were considered characteristic of the diet. Similarly, while past dietary habits were perceived as a main reason for classifying traditional foods, some of the foods consumed mostly in past times, such as reptiles, were excluded by most participants. The same complex criteria could have also been applied by participants for selecting the specific foods in the food groups. For example, although oats are considered healthy(Reference Bonvecchio Arenas, Fernandez-Gaxiola and Plazas Belausteguigoitia39), they were not included in the index. The combination of different criteria to define a ‘traditional diet’ has been recommended previously(Reference Sproesser, Ruby and Arbit40) and it highlights the value of involving heterogenous expert opinion and an objective methodology in creating an index to measure adherence to the TMexD.

Health and the traditional Mexican diet index

While the association of adherence to the TMexD index and health has not yet been evaluated, the proposed TMexD index shares several similarities with other healthy traditional diets. For example, while the foods contained in each food group might differ, both the Mediterranean diet(Reference Trichopoulou41) and the TMexD index encourage a high intake of plant-based foods. In fact, in the current index, foods with a higher weight (i.e. those awarded more points than others when their recommended consumption is achieved) were plant-based (i.e. maize, legumes and vegetables), containing large amounts of fibre, diverse micronutrients and antioxidants(Reference Bach-Faig, Berry and Lairon30). Similarly, the index recommends only a limited number of beverages and maize-based dishes, which are generally considered unhealthy foods(Reference Bonvecchio Arenas, Fernandez-Gaxiola and Plazas Belausteguigoitia39). Since both these types of foods have long been part of the Mexican culture(Reference Valerino-Perea, Lara-Castor and Armstrong14), establishing a limit on their consumption might be more feasible than discouraging them altogether.

The quantities of foods contained in this index are also fairly compatible with current Mexican food guidelines, suggesting that the TMexD is consistent with what is currently considered a ‘healthy’ diet. The proposed TMexD index additionally incorporates some food-related habits relevant in traditional lifestyles(Reference Bach-Faig, Berry and Lairon30,Reference Bonvecchio Arenas, Fernandez-Gaxiola and Plazas Belausteguigoitia39,Reference Sproesser, Ruby and Arbit40,42) and associated with healthy eating patterns, such as consuming homemade foods, eating with others and buying foods from local markets(Reference Ortiz-Hernández, Delgado-Sánchez and Hernández-Briones43Reference Popkin45). However, further research is needed to establish associations of this dietary pattern with health outcomes. Future studies could also evaluate the validity of this index by examining the macronutrient and micronutrient adequacy of the index against other indices of a healthy diet in Mexico(Reference Macedo-Ojeda, Márquez-Sandoval and Fernández-Ballart46,Reference López-Olmedo, Popkin and Taillie47) . Once validated, the index could potentially be used as an interviewer-administrated or self-scored tool to quickly assess adherence in research (e.g. intervention studies) or clinical practice.

Food sustainability and the traditional Mexican diet index

The diet portrayed in this index could also be a step forward towards the measure of sustainable diets in Mexico, as there is currently limited evidence on the subject(Reference Hernández Fernández, Unar Munguía, Rivera Dommarco, Rivera Dommarco, Colchero and Fuentes48). Foods utilising higher levels of energy, soil and water resources, and with higher greenhouse gas emissions, such as meats and dairy products, are currently recommended in low amounts(Reference Burlingame and Dernini9,Reference Bach-Faig, Berry and Lairon30,Reference Behrens, Kiefte-de Jong and Bosker49) . Although higher quantities of animal foods are recommended in Mexican food guidelines(Reference Bonvecchio Arenas, Fernandez-Gaxiola and Plazas Belausteguigoitia39) (i.e. approximately 530–730 g/week, as opposed to 240 g recommended in the TMexD index), the proposed index allows for substituting them with potentially more sustainable sources of protein like legumes and, to lesser extents, grains, vegetables and nuts(Reference Bach-Faig, Berry and Lairon30,Reference Behrens, Kiefte-de Jong and Bosker49,Reference Donini, Dernini and Lairon50) . Other key aspects that are compatible with sustainable diets are dietary diversity(Reference Burlingame and Dernini9,Reference Allen, Prosperi and Cogill18,Reference Donini, Dernini and Lairon50) and buying food locally(Reference Burlingame and Dernini9,Reference Hernández Fernández, Unar Munguía, Rivera Dommarco, Rivera Dommarco, Colchero and Fuentes48,Reference Behrens, Kiefte-de Jong and Bosker49,Reference Jones, Hoey and Blesh51) . The present study does not claim to present the TMexD as an index to measure diet sustainability directly, as there is yet no clear definition of sustainable diets(Reference Pettinger52) and these might vary by region(Reference Johnston, Fanzo and Bogil53). However, the present index does share similarities with current sustainable food metrics(Reference Allen, Prosperi and Cogill18) and could serve as a basis for the study of sustainable food systems in Mexico. Future studies might consider evaluating key aspects of sustainable diets to the TMexD index developed in this study. For instance, further research could evaluate the costs, environmental impact, biodiversity and food security aspects associated with this dietary pattern.

Strengths and limitations

Several procedures were implemented to improve validity in this Delphi study. First, a heterogeneous group of experts participated, and the sample size was sufficient to provide a variety of responses(Reference Hsu and Sandford16,Reference Belton, MacDonald and Wright21,Reference von der Gracht22) , which increases the quality of the data produced(Reference Hasson, Keeney and McKenna15,Reference Powell17Reference Yousuf19,Reference Hasson and Keeney54) . Second, we maintained high participation rates(Reference Hasson, Keeney and McKenna15,Reference Allen, Prosperi and Cogill18) , which minimises the risk of false consensus by maintaining minority opinions in subsequent rounds(Reference Paré, Cameron and Poba-Nzaou28,Reference Sinha, Smyth and Williamson55) .Third, participation in the study was anonymous, which prevents group domination(Reference Boulkedid, Abdoul and Loustau56) and conforming to group opinion(Reference Hasson, Keeney and McKenna15,Reference Hsu and Sandford16) . Fourth, participants made comments and suggestions when completing the questionnaires, and they received feedback between rounds, which improves the quality outcomes by challenging previous assumptions and by leading to reasoned argument(Reference Powell17,Reference Hasson and Keeney54) . Lastly, the use of an extensive systematic review on the topic to develop the questionnaire(Reference Valerino-Perea, Lara-Castor and Armstrong14), and the expert’s input was useful for developing a high-quality TMexD index, representing not only the foods and the food quantities consumed in the TMexD but also the food-related habits associated with traditional eating and with national cultural heritage(Reference Bach-Faig, Berry and Lairon30,42,Reference Gomez Delgado and Velázquez Rodrígues57) , which complement previous tools that measure adherence or promote this dietary pattern(Reference Santiago-Torres, Tinker and Allison12,Reference Almaguer González, García Ramírez and Vargas Vite13) .

The limitations of this study must also be acknowledged. First, some participants expressed confusion over the term ‘traditional diet’ and the purpose of creating a TMexD index. While the recruitment email did explain the aim of the study, some participants might have used biased perspectives to respond to the first-round questionnaire. Nevertheless, we extensively clarified this issue in the second round and participants had a second opportunity to select the index’s elements. For this reason, consensus was not measured (and no food elements were dropped) after the first round, and participants could still suggest elements to be included in the index in the second round. In addition, results are presented separately for each round so as to show potential differences in responses between rounds.

A second limitation was the use of different criteria to define consensus. This procedure was followed because different sections of the questionnaire were presented in different formats (e.g. five-point scales v. yes/no answers). Essentially, these diverse formats were applied given the large amount of questions in the survey, as to maintain response time under 30 min and ensure high response rates(Reference Belton, MacDonald and Wright21,Reference Okoli and Pawlowski24) . However, most of these response options and consensus levels have been previously used in the literature(Reference Powell17,Reference Belton, MacDonald and Wright21,Reference von der Gracht22,Reference Diamond, Grant and Feldman26,Reference McMillan, King and Tully58) and were employed to evaluate the different aspects of the elements that need to be included in the index. Similarly, not all elements in the index achieved high levels of consensus (e.g. agreement by ≥ 75 % of participants), such as the quantities of food groups consumed, and some detailed elements of the index (i.e. if pinole should be placed in natural sweeteners or in maize products). As such, the consensus criteria used to include those elements in the index were based on the most feasible option for attaining consensus in the study. Equally, since the elements that did not reach consensus for either inclusion or exclusion were omitted, some items present in the TMexD might not be measured by this index. However, these might not be as representative of the TMexD, since these were not selected by most experts. Some authors recommend conducting a meeting to achieve consensus in these cases(Reference Boulkedid, Abdoul and Loustau56), although these meetings might be limited by time and location constraints, which should be avoided in Delphi studies(Reference Hsu and Sandford16). Conducting a fourth round to overcome these issues(Reference Perera-Diltz and Sauerheber59), as in the original Delphi method(Reference Yousuf19), was also discarded as an option, as a fourth round has been associated with increased attrition rates due to participant fatigue(Reference Hasson, Keeney and McKenna15,Reference Trevelyan and Robinson23,Reference Perera-Diltz and Sauerheber59) and no guarantee of consensus. Nevertheless, we reported a detailed description of the process followed to select the TMexD elements and the exact consensus level for each item at each round. If needed, we encourage researchers to adapt the present index for the items that did not reach consensus, based on the participants’ responses.

Finally, we did not confirm with participants if our interpretation of their comments matched their views(Reference Hasson, Keeney and McKenna15,Reference Yousuf19,Reference Paré, Cameron and Poba-Nzaou28,Reference Hasson and Keeney54) nor did we explore the reasons why dissensus might have occurred in some elements of the index, which may have provided further insights(Reference Belton, MacDonald and Wright21).This approach was not performed due to numerous comment sections available in the questionnaire, and so confirming each comment that each participant made might have resulted in higher workload for the participants and possibly higher attrition levels. Similarly, some studies recommend asking participants their reasoning for selecting their final answers in the last round(Reference Yousuf19,Reference Okoli and Pawlowski24,Reference Paré, Cameron and Poba-Nzaou28) , especially if they decided to select an answer in disagreement with the majority of the group(Reference Perera-Diltz and Sauerheber59). However, participants were encouraged to add comments in each section and at the end of each questionnaire, which is recommended as an additional approach to improve credibility(Reference Hasson and Keeney54).

Some limitations of the index developed were also identified. First, the index excluded some commonly consumed foods in Mexico, such as industrialised sweet products(Reference Aburto, Pedraza and Sánchez-Pimienta4,Reference Batis, Aburto and Sanchez-Pimienta5,Reference Popkin45,Reference Sánchez-Pimienta, Batis and Lutter6163) , which are detrimental for health(Reference Batis, Sánchez, García-Chávez, Rivera Dommarco, Colchero and Fuentes62,Reference Rivera Dommarco, Colchero and Fuentes64) and the environment(Reference Hernández Fernández, Unar Munguía, Rivera Dommarco, Rivera Dommarco, Colchero and Fuentes48). Including these items might have helped establish what the maximum recommended amount is for the consumption of these foods, similar to the cut-offs set for beverages and maize-based products. In particular, industrialised products are highly consumed in Mexico(Reference Sánchez-Pimienta, Batis and Lutter61,63) and not measuring their consumption in a Mexican index might not measure all relevant items in contemporary diets. Second, the food quantities represented refer to healthy adults and might require further modifications for other populations. Importantly, two participants explicitly mentioned the difficulties of recommending quantities of consumption (data not shown), as these often depend on individual needs. On a similar note, as in most studies involving food estimations, some participants might have miscalculated the food groups’ quantities in the index, leading to potentially under- or over-estimated recommendations for some food groups. Nevertheless, we carefully selected the participants to include only experts on the TMexD, and we provided examples of standard portion sizes, as recommended in the literature(Reference Ovaskainen, Paturi and Reinivuo60), to facilitate estimation of the food quantities. Third, the present index measures adherence to the different food groups in the TMexD by suggesting only lower or upper thresholds of consumption, but not both. Specifically, the index presents the minimum quantities needed to reach adherence for foods recommended in food guidelines (e.g. maize products) but not the maximum quantities. As such, individuals exceeding recommendations of these foods would still adhere to the TMexD, even if exceeding these recommendations might not be optimal. Likewise, the index does not specify some nutritious characteristics of some food groups. For example, it does not clarify if ‘maize products’ refers exclusively to unrefined forms of maize, which is generally regarded as healthier, as it contains a larger micronutrient and fibre content(Reference Popkin and Reardon65,Reference Mt. Pleasant66) . However, these represent low-energy-dense foods which increase satiety when consumed in low quantities and consuming them might displace other less healthy foods in the diet, such as industrialised foods(Reference Kushi, Doyle and Marji67). Finally, dietary intakes and food culture might differ in the different geographical regions of Mexico(Reference Valerino-Perea, Lara-Castor and Armstrong14). However, the proposed index was developed as a tool to be used in epidemiological research and at a national level, and thus, it is aimed at the general population.

Despite these limitations, this study provided the first comprehensive proposal for an index to measure adherence to the TMexD. As such, researchers are encouraged to adapt the present index, including foods and food-related habits, to current epidemiological concerns and different population groups and geographical regions.

Conclusion

This study developed a comprehensive index to assess adherence to the TMexD, using the Delphi technique through consulting experts in the TMexD, an approach which has not been used to develop traditional diet indices to date. We believe the proposed index might be superior to earlier TMexD indices, as it not only establishes the foods and food groups that are traditionally Mexican, but also the food quantities and food-related habits reflecting a TMexD. The findings showed that the TMexD index is particularly characterised by foods of plant origin, rendering this an important tool to potentially promote not only a healthy but also a sustainable diet. More research is needed to examine the association of the TMexD, as operationalised by the proposed index, with health outcomes, and establish whether the TMexD index could be used as an intervention strategy to promote a healthier and sustainable diet. The index could also potentially be further adapted to better reflect the TMexD of specific populations and Mexican regions.

Acknowledgements

Acknowledgements: The authors would like to thank the experts who participated in the Delphi process for their valid input and kind efforts. Financial support: SV-P. This research was funded by Consejo Nacional de Ciencia y Tecnología (CONACYT), grant number 747560. CONACYT had no role in the design, analysis or writing of this article. Conflict of interest: SV-P: None; MEGA: None; AP: None. Authorship: SV-P, MEGA and AP designed the research; SV-P conducted the research; SV-P analysed data with input from MEGA and AP; and SV-P wrote the paper with input from MEGA and AP; SV-P had primary responsibility for final content. All authors read and approved the final manuscript. Ethics of human subject participation: 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 University of Bristol – School for Policy Studies Research Ethics Committee (SPSREC/18–19/053). Written informed consent was obtained from all subjects.

Supplementary material

For supplementary material accompanying this paper visit https://doi.org/10.1017/S1368980020004565

References

WHO (2014) Noncommunicable Diseases (NCD) Country Profiles. Mexico. http://www.who.int/nmh/countries/mex_en.pdf (accessed May 2020).Google Scholar
WHO (2018) Noncommunicable diseases. http://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases (accessed May 2020).Google Scholar
PAHO (2017) Health in the Americas+, 2017 Edition. Summary: Regional Outlook and Country Profiles. Washington, DC: Pan American Health Organisation.Google Scholar
Aburto, TC, Pedraza, LS, Sánchez-Pimienta, TG et al. (2016) Discretionary foods have a high contribution and fruit, vegetables, and legumes have a low contribution to the total energy intake of the mexican population. J Nutr 146, 1881S1887S.CrossRefGoogle ScholarPubMed
Batis, C, Aburto, TC, Sanchez-Pimienta, TG et al. (2016) Adherence to dietary recommendations for food group intakes is low in the mexican population. J Nutr 146, 1897S1906S.CrossRefGoogle ScholarPubMed
Gómez-Dantés, H, Fullman, N, Lamadrid-Figueroa, H et al. (2016) Dissonant health transition in the states of Mexico, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 388, 23862402.CrossRefGoogle ScholarPubMed
Forouzanfar, MH, Alexander, L, Anderson, HR et al. (2015) Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 386, 22872323.CrossRefGoogle ScholarPubMed
WHO (2004) Global Strategy on Diet, Physical Activity and Health. Geneva, Switzerland: World Health Organisation.Google Scholar
Burlingame, B, Dernini, S, Nutrition and Consumer Protection Division et al. (2012) Sustainable Diets and Biodiversity. Directions and Solutions for Policy, Research and Action. Rome, Italy: Food and Agriculture Organisation.Google Scholar
Trichopoulou, A, Soukara, S & Vasilopoulou, E (2007) Traditional foods: a science and society perspective. Trends Food Sci Technol 18, 420427.CrossRefGoogle Scholar
Trichopoulou, A, Vasilopoulou, E, Georga, K et al. (2006) Traditional foods: why and how to sustain them. Trends Food Sci Technol 17, 498504.CrossRefGoogle Scholar
Santiago-Torres, M, Tinker, LF, Allison, MA et al. (2015) Development and use of a Traditional Mexican diet score in relation to systemic inflammation and insulin resistance among women of Mexican Descent. J Nutr 145, 27322740.CrossRefGoogle ScholarPubMed
Almaguer González, JA, García Ramírez, HJ, Vargas Vite, V et al. (2018) La Dieta de la Milpa. Modelo de Alimentación Mesoamericana Saludable y Culturalmente Pertinente (The Milpa Diet. Healthy and Culturally Relevant Mesoamerican Food Model). https://www.gob.mx/cms/uploads/attachment/file/98453/La_Dieta_de_la_Milpa.pdf (accessed May 2020).Google Scholar
Valerino-Perea, S, Lara-Castor, L, Armstrong, MEG et al. (2019) Definition of the traditional Mexican diet and its role in health: a systematic review. Nutrients 11, 2803.CrossRefGoogle ScholarPubMed
Hasson, F, Keeney, S & McKenna, H (2000) Research guidelines for the Delphi survey technique. J Adv Nurs 32, 10081015.Google ScholarPubMed
Hsu, C-C & Sandford, BA (2007) The Delphi technique: making sense of consensus. Pract Assessment Res Eval 12, 10.Google Scholar
Powell, C (2003) The Delphi technique: myths and realities. J Adv Nurs 41, 376382.CrossRefGoogle ScholarPubMed
Allen, T, Prosperi, P, Cogill, B et al. (2019) A Delphi approach to develop sustainable food system metrics. Soc Indic Res 141, 13071339.CrossRefGoogle Scholar
Yousuf, MI (2007) Using experts’ opinions through Delphi technique. Pract Assessment Res Eval 12, 4.Google Scholar
Romero-Martínez, M, Shamah-Levy, T, Vielma-Orozco, E et al. (2019) National Health and Nutrition Survey 2018–19: methodology and perspectives. Salud Publica Mex 61, 917923.CrossRefGoogle Scholar
Belton, I, MacDonald, A, Wright, G et al. (2019) Improving the practical application of the Delphi method in group-based judgment: a six-step prescription for a well-founded and defensible process. Technol Forecast Soc Chang 147, 7282.CrossRefGoogle Scholar
von der Gracht, HA (2012) Consensus measurement in Delphi studies. Review and implications for future quality assurance. Technol Forecast Soc Chang 79, 15251536.CrossRefGoogle Scholar
Trevelyan, EG & Robinson, N (2015) Delphi methodology in health research: how to do it? Eur J Integr Med 7, 423428.CrossRefGoogle Scholar
Okoli, C & Pawlowski, SD (2004) The Delphi method as a research tool: an example, design considerations and applications. Inf Manag 42, 1529.CrossRefGoogle Scholar
Landeta, J (2006) Current validity of the Delphi method in social sciences. Technol Forecast Soc Change 73, 467482.CrossRefGoogle Scholar
Diamond, IR, Grant, RC, Feldman, BM et al. (2014) Defining consensus: a systematic review recommends methodologic criteria for reporting of Delphi studies. J Clin Epidemiol 67, 401409.CrossRefGoogle ScholarPubMed
Brady, SR (2015) Utilizing and adapting the Delphi method for use in qualitative research. Int J Qual Methods 16.Google Scholar
Paré, G, Cameron, AF, Poba-Nzaou, P et al. (2013) A systematic assessment of rigor in information systems ranking-type Delphi studies. Inf Manag 50, 207217.CrossRefGoogle Scholar
Bach-Faig, A, Berry, EM, Lairon, D et al. (2011) Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr 14, 22742284.CrossRefGoogle ScholarPubMed
Muñoz de Cháves, M, Chávez Villasana, A, Ledesma Solano, et al. (2014) Tablas de uso práctico de los alimentos de mayor consumo ‘Miriam Muñoz’ (Tables of Practical Use of the Foods Most Consumed ‘Miriam Muñoz’), 3rd ed. Mexico DF: McGraw-Hill Education.Google Scholar
Secretaría de Salud (2010) Guía de Alimentos para la Población Mexicana (Food Guidelines for the Mexican Population). http://www.imss.gob.mx/sites/all/statics/salud/guia-alimentos.pdf (accessed March 2019).Google Scholar
Pérez Lizaur, AB, Palacios González, B, Castro Becerra, AL et al. (2014) Sistema Mexicano de Alimentos Equivalentes (Mexican Equivalent Food System), 4th ed. Mexico DF: Fomento de Nutrición y Salud: OGALI.Google Scholar
England, CY, Thompson, JL, Jago, R et al. (2016) Development of a brief, reliable and valid diet assessment tool for impaired glucose tolerance and diabetes: the UK Diabetes and Diet Questionnaire. Public Health Nutr 20, 191199.CrossRefGoogle ScholarPubMed
Sindi, S & Roe, M (2017) Strategic Supply Chain Management: The Development of a Diagnostic Model. Cham, Switzerland: Palgrave Macmillan.CrossRefGoogle Scholar
Dajani, JS, Sincoff, MZ & Talley, WK (1979) Stability and agreement criteria for the termination of Delphi studies. Technol Forecast Soc Change 13, 8390.CrossRefGoogle Scholar
Shah, HA & Kalaian, SA (2009) Which is the best parametric statistical method for analyzing Delphi data? J Mod Appl Stat Meth 8, 226232.CrossRefGoogle Scholar
Daniels, J (2017) A Matter of Opinion: The Delphi Method in the Social Sciences. SAGE Res. Methods Cases. London, UK: SAGE Publications Ltd.CrossRefGoogle Scholar
Bonvecchio Arenas, A, Fernandez-Gaxiola, AC, Plazas Belausteguigoitia, M et al. (2015) Guías alimentarias y de actividad física en contexto de sobrepeso y obesidad en la población Mexicana ( Dietary and Physical Activity Guidelines in the Context of Overweight and Obesity in the Mexican Population). México DF: Academia Nacional de Medicina. CONACYT. Intersistemas.Google Scholar
Sproesser, G, Ruby, MB, Arbit, N et al. (2019) Understanding traditional and modern eating: the TEP10 framework. BMC Public Health 19, 1606.CrossRefGoogle ScholarPubMed
Trichopoulou, A (2004) Traditional Mediterranean diet and longevity in the elderly: a review. Public Health Nutr 7, 943947.CrossRefGoogle ScholarPubMed
UNESCO (2010) Traditional Mexican cuisine - ancestral, ongoing community culture, the Michoacán paradigm. https://ich.unesco.org/en/RL/traditional-mexican-cuisine-ancestral-ongoing-community-culture-the-michoacan-paradigm-00400 (accessed May 2020).Google Scholar
Ortiz-Hernández, L, Delgado-Sánchez, G & Hernández-Briones, A (2006) Changes in factors associated with the nutrition transition in Mexico. Gac Med Mex 142, 181193.Google ScholarPubMed
Popkin, BM & Reardon, T (2018) Obesity and the food system transformation in Latin America. Obes Rev 19, 10281064.CrossRefGoogle ScholarPubMed
Popkin, BM (2014) Nutrition, agriculture and the global food system in low and middle income countries. Food Policy 47, 9196.CrossRefGoogle ScholarPubMed
Macedo-Ojeda, G, Márquez-Sandoval, F, Fernández-Ballart, J et al. (2016) The reproducibility and relative validity of a Mexican Diet Quality Index (ICDMx) for the assessment of the habitual diet of adults. Nutrients 8, 516.CrossRefGoogle ScholarPubMed
López-Olmedo, N, Popkin, BM & Taillie, LS (2019) Association between socioeconomic status and diet quality in mexican men and women: a cross-sectional study. PLoS One 14, e0224385.CrossRefGoogle ScholarPubMed
Hernández Fernández, M, Unar Munguía, M & Rivera Dommarco, (2018) Hacia un sistema alimentario promotor de dietas saludables y sostenibles (Towards a food system that promotes healthy and sustainable diets). In La Obesidad en México. Estado la política pública y recomendaciones para su prevención y control (Obesity in Mexico. State Public Policy and Recommendations for Its Prevention and Control), pp. 5372 [Rivera Dommarco, , Colchero, MA, Fuentes, ML et al., editors]. Cuernavaca, Mexico: Instituto Nacional de Salud Pública.Google Scholar
Behrens, P, Kiefte-de Jong, JC, Bosker, T et al. (2017) Evaluating the environmental impacts of dietary recommendations. Proc Natl Acad Sci 114, 1341213417.CrossRefGoogle ScholarPubMed
Donini, LM, Dernini, S, Lairon, D et al. (2016) A consensus proposal for nutritional indicators to assess the sustainability of a healthy diet: the Mediterranean diet as a Case Study. Front Nutr 3, 37.CrossRefGoogle ScholarPubMed
Jones, AD, Hoey, L, Blesh, J et al. (2016) A systematic review of the measurement of sustainable diets. Adv Nutr 7, 641664.CrossRefGoogle ScholarPubMed
Pettinger, C (2018) Sustainable eating: opportunities for nutrition professionals. Nutr Bull 43, 226237.CrossRefGoogle Scholar
Johnston, JL, Fanzo, JC & Bogil, B (2014) Understanding sustainable diets: a descriptive analysis of the determinants and processes that influence diets and their impact on health, food security and environmental sustainability. Adv Nutr 5, 418429.CrossRefGoogle ScholarPubMed
Hasson, F & Keeney, S (2011) Enhancing rigour in the Delphi technique research. Technol Forecast Soc Chang 78, 16951704.CrossRefGoogle Scholar
Sinha, IP, Smyth, RL & Williamson, PR (2011) Using the Delphi technique to determine which outcomes to measure in clinical trials: recommendations for the future based on a systematic review of existing studies. PLoS Med 8, e1000393.CrossRefGoogle ScholarPubMed
Boulkedid, R, Abdoul, H, Loustau, M et al. (2011) Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review. PLoS One 6, e20476.CrossRefGoogle ScholarPubMed
Gomez Delgado, Y & Velázquez Rodrígues, EB (2019) Salud y cultura alimentaria en México (Health and food culture in Mexico). Rev Digit Univ 20, 111.Google Scholar
McMillan, SS, King, M & Tully, MP (2016) How to use the nominal group and Delphi techniques. Int J Clin Pharm 38, 655662.Google ScholarPubMed
Perera-Diltz, D & Sauerheber, JD (2017) Delphi Method: Exploring Counselor Educators’ Valued Learning Experience. SAGE Res. Methods Cases. London, UK: SAGE Publications Ltd.CrossRefGoogle Scholar
Ovaskainen, ML, Paturi, M, Reinivuo, H et al. (2008) Accuracy in the estimation of food servings against the portions in food photographs. Eur J Clin Nutr 62, 674681.CrossRefGoogle ScholarPubMed
Sánchez-Pimienta, TG, Batis, C, Lutter, CK et al. (2016) Sugar-Sweetened beverages are the main sources of added sugar intake in the Mexican. J Nutr 146, 1888S1896S.CrossRefGoogle ScholarPubMed
Batis, C, Sánchez, T, García-Chávez, CG et al. (2018) Dieta en México y efectos en salud (Diet in Mexico and effects on health). In La Obesidad en México. Estado la política pública y recomendaciones para su prevención y control (Obesity in Mexico. State Public Policy and Recommendations for Its Prevention and Control), pp. 4152 [Rivera Dommarco, , Colchero, MA, Fuentes, ML et al., editors]. Cuernavaca, Mexico: Instituto Nacional de Salud Pública.Google Scholar
PAHO (2015) Ultra-Processed Food and Drink Products in Latin America: Trends, Impact on Obesity, Policy Implications. Washington, DC: Organización Panamericana de la Salud.Google Scholar
Rivera Dommarco, J, Colchero, M, Fuentes, M et al. (2018) La obesidad en México. Estado de la política pública y recomendaciones para su prevención y control (Obesity in Mexico. State Public Policy and Recommendations for Its Prevention and Control). Cuernavaca, Mexico: Instituto Nacional de Salud Pública.Google Scholar
Popkin, BM & Reardon, T (2018) Obesity and the food system transformation in Latin America. Obes Rev 19, 10281064.CrossRefGoogle ScholarPubMed
Mt. Pleasant, J (2016) Food yields and nutrient analyses of the three sisters: a Haudenosaunee cropping system. Ethnobiol Lett 7, 8798.Google Scholar
Kushi, LH, Doyle, C, Marji, M et al. (2012) 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 62, 3067.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1 Participant flow diagram

Figure 1

Table 1 Traditional Mexican diet index

Figure 2

Table 2 Composition of food groups in the traditional Mexican diet index

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