This content was archived on June 24 2013.
Information identified as archived on the Web is for reference, research or recordkeeping purposes. It has not been altered or updated after the date of archiving. Web pages that are archived on the Web are not subject to the Government of Canada Web Standards. As per the Communications Policy of the Government of Canada, you can request alternate formats on the "Contact Us" page.
Help on accessing alternative formats, such as Portable Document Format (PDF), Microsoft Word and PowerPoint (PPT) files, can be obtained in the alternate format help section.
Stefa W. Katamay, M.H.Sc., RD1
Krista A. Esslinger, M.Sc., RD1
Michel Vigneault, M.Sc.2
Janice L. Johnston, Ph.D., M.Sc.3
Beth A. Junkins, M.Sc.2
Linda G. Robbins, B.H.Ec.4
Isabelle V. Sirois, M.Sc., RD1
Elaine M. Jones-McLean, M.Sc.1
Anne F. Kennedy, M.H.Sc.4
Mary A.A. Bush, M.Sc, RD1
Danielle BrulÚ, Ph.D., RD1
Chantal Martineau, M.Sc., RD1
Stefa Katamay, E-mail: Stefa_Katamay@hc-sc.gc.ca
Natural and Non-prescription Health Products Directorate
Attn: Submission Administration Unit
250 Lanark Avenue AL 2002B
K1A 0K9 (Canada Post delivery including Xpress Post)
K1Z 1G4 (Courier service excluding Xpress Post)
A food intake pattern specifying amounts and types of food was created using a two step modelling process. In step one food composites were manipulated to develop a food intake pattern. The second step used the step one food intake pattern to create 500 simulated diets for each of 16 age and gender groups. The resulting nutrient content distributions were evaluated relative to DRI reference values. The modelling cycled between these two steps until a satisfactory pattern was achieved. The final pattern reflects modelling, a review of associations between foods and chronic disease and input received during consultation.
Canada's food guide, food intake patterns, DRI assessment, modelling
The federal Health Department introduced Canada's first food guide, called Canada's Official Food Rules, in 1942. Since then, the food guide has been transformed many times - it has adopted new names, new looks, and new messages, yet has never wavered from its original purpose of guiding food selection and promoting the nutritional health of Canadians.1
Since Canada's Food Guide to Healthy Eating (Food Guide) was released in 1992, science concerning the relationship between diet and health has evolved. To examine whether Health Canada's guidance was consistent with the latest science and well understood by its users, a review of the Food Guide was undertaken in late 2002. The review included: an assessment of diets which follow a pattern of eating recommended by the Food Guide; a review of changes in the food supply; an evaluation of the use and understanding of the Food Guide by teachers, dietitians, and public health personnel; and a national stakeholder consultation.
A revision was undertaken in 2004 to address some of the challenges identified in using the 1992 Food Guide while building on its strengths. Identified strengths included its flexibility, simplicity, visual appeal, widespread awareness and its consistency with current science. Challenges included confusion about serving sizes and serving ranges, unclear terms such as "moderation", the perception that the graphics were outdated and not sufficiently inclusive of multicultural foods, and concern that the "Other Foods" category was too vague.
The purpose of the food guide is to assist the people of Canada in making food choices that promote health and reduce the risk of nutrition-related chronic disease. The food guide reflects the food supply available to Canadians as well as food choices made by Canadians. The food guide promotes a desirable pattern of eating rather than prescribing a dietary pattern.
Development of the food intake pattern for the revised food guide built on findings from the review of the 1992 Food Guide, the nutrient standards and assessment methods provided in the Dietary Reference Intakes (DRI) reports of the Institute of Medicine,2-8 evidence looking at the relationship between select foods and risk of chronic disease, and stakeholder feedback.
The focus of this paper is to provide information on the development of the food intake pattern - the amounts and types of food recommended in the revised food guide.
A food intake pattern was created using the two step modelling process shown in Figure 1. In the first step food composites were created and manipulated until a food intake pattern with satisfactory average nutrient levels was found for each of 16 age and gender groups. In the second step, the food intake pattern from the first step was used to create 500 simulated diets for each of these age and gender groups. The nutrient distributions from these simulated diets were assessed relative to the appropriate DRI reference values. When assessment of these simulated diets yielded less than satisfactory results, step one was revisited to try to produce a better pattern. A revised food intake pattern then informed the creation of further simulated diets. The modelling cycled between step one and two until no further adjustments to the food intake pattern were needed.
The food intake pattern was also reviewed for consistency with associations between foods and risk of chronic disease. Lastly, the draft food intake pattern was shared publicly during a consultation period. The final food intake pattern reflects modelling to achieve nutrient adequacy, the review of associations between foods and risk of chronic disease and input received during consultation. Details of the process to develop the food intake pattern follow.
Food groupings for modelling (herein referred to as modelling groups) were created for food intake pattern development using the food groups and directional statements (statements guiding food choice - e.g., "Choose lower-fat milk products more often") from the 1992 Food Guide as a starting point. Food groups in Canada's Food Guide have evolved over time, but generally reflect the food supply and its use. In 1992 foods were classified into four food groups and the Other Foods category primarily on the basis of these factors:9
Commodity or Agricultural Base - Foods originating from the same agricultural base were generally grouped together. For example, wheat as a grain, wheat flour and foods made with wheat flour such as breads, pasta and muffins were grouped together in Grain Products.
Consumer's Use of Foods and How Foods Have Been Traditionally Classified - For example, legumes were placed in Meat and Alternatives because consumers often used them as a substitute for meat. If food classification had been based on only nutrient similarity, legumes would have been grouped with Grain Products.
The Fact That Some Food Items Do Not Fit into a Food Group - Foods that did not fit into any of the four food groups were classified into the Other Foods category.
Additional modelling groups were developed as shown Table 1. Modelling groups enabled the assessment of the impact of recommending specific types of foods. For instance, the impact of favouring fruit juice rather than fruit on the fibre content of diets could be assessed. Similarly, it was possible to explore the impact of recommending fruit rather than vegetables on the folate, vitamin A and vitamin C content of diets. Modelling groups used in the final food intake pattern are shaded in Table 1.
Two different data sets were used for steps one and two of the modelling. Statistics Canada's 2001 Food Expenditure Survey (FoodEx) provided estimates of quantities of food purchased by households which were subsequently converted to estimates of (edible) amounts available to each individual. A list of over 200 food categories was used.
At the time of the food guide revision process, no national data existed on what Canadians were eating. Data for simulating diets were therefore based on food choices documented in the four most recent Federal-Provincial food and nutrition surveys (British Columbia, Manitoba, and Ontario surveys for adult data; and the Quebec youth survey for children's data). The Federal-Provincial surveys databases, compiled from one-day recalls, provided a pool of detailed food choices by over 6000 individuals, from which simulated diets could be created.
Foods from both datasets were classified into the modelling groups. The assignment of foods from both the FoodEx and Federal-Provincial surveys datasets was cross-verified to ensure consistency in classification.
An adapted version of the 1997 Canadian Nutrient File (CNF) reflecting the mandatory addition of folic acid to flour and enriched pasta was used as the source of energy and nutrient values for foods. Nutrients for which data in the CNF were insufficient were not included in the modelling process. For most foods, the serving sizes assigned were consistent with those used in the document Relating Canada's Food Guide to Healthy Eating to Canadian Nutrient File Foods.10
Food composites were created for each modelling group and subgroup. To create the composite, the relative importance of each FoodEx food in each modelling group was established. This information was then used to determine the relative nutrient content of each food item in the composite. For example, if the FoodEx data showed that of the total amount of fruit purchased 50% was oranges, 25% was apples and 25% bananas then the nutrient content of the fruit composite was based on the relative importance of the individual foods in this group. Therefore 50% of the fruit composite's nutrient profile was based on the nutrients in one serving of oranges, 25% on the nutrients in one serving of apples and another 25% on the nutrients in one serving of bananas. The result was a representative nutrient profile for one serving of the fruit composite.
For any individual food, its relative importance changed depending on which modelling group or sub-group was used. The importance of oranges in the Vegetables and Fruit group, for instance, would be less than its relative importance in the Fruit and Juices modelling sub-group where vegetables are excluded.
Once food composites were created the goal was to establish amounts of food composites to create a food intake pattern for each age and gender group. The number of servings of each food composite was increased or decreased for each age and gender group until a food intake pattern with satisfactory average nutrient levels was achieved. The lower number of servings recommended in the 1992 Food Guide was used as a starting point for developing the food intake pattern.
Not all modelling groups were used in every iteration of modelling. For instance, the first model used the following food composites: Vegetables and Fruit, Grain Products, Milk and Alternatives, and Meat and Alternatives. When satisfactory results could not be achieved, food composites representing more specific modelling sub-groups were tested. For instance, instead of specifying a number of servings of Grain Products in general, a number of servings of whole grains and non-whole grains were tried. Increasing the level of specificity at which modelling occurred allowed better nutrient outcomes to be achieved with less food and fewer calories.
Because nutrient requirements vary by age and gender, a separate food intake pattern was developed for each of the DRI age and gender groups for those two years of age and older. These age and gender groups include: 2 - 4 years and 4 - 8 years; then for males and females separately 9 - 13 years, 14 - 18 years, 19 - 30 years, 31 - 50 years, 51 - 70 years, and 71 years and older. The same food composites were used for all age and gender groups. Once a food intake pattern with satisfactory average nutrient levels was established in step one, the pattern was used for developing simulated diets in step two.
To create simulated diets using individual food choices from Federal-Provincial surveys, the relative importance or popularity of each food within a modelling group was determined for each of the different age and gender groups. This was so that the probability of any food being included in a simulated diet would be proportional to its use in a given age and gender group.
Using the food intake pattern established in step one of modelling as a template, five hundred simulated diets were created for each age and gender group in order to estimate the nutrient distributions. Individual foods were chosen randomly from the modelling groups specified in step one, with the probability of the selection of any individual food based on the relative popularity of the food for a given age and gender group. For example, if lettuce represented 8% of vegetables eaten by women 31 - 50 years of age, then when simulated diets were created for women 31 - 50 years of age, there was an 8% chance that lettuce would be randomly selected as a serving of vegetables. For men 19 - 30 years however, lettuce may only have represented 5% of vegetables eaten so lettuce would appear less frequently in the simulated diets for this age and gender group. Table 2 shows how the relative popularity of foods changes as modelling groups get more specific.
Distributions of micronutrient, macronutrient and energy content of the simulated diets were assessed relative to the appropriate DRI values to inform the further adjustment of the food intake pattern. An iterative process was followed to adjust the food intake pattern. Adjustments were made in step one modelling followed by re-assessment of the pattern through the creation of simulated diets.
More specifically, the following criteria were used in assessment:
Food intake patterns meeting these criteria have a high probability of nutrient adequacy and appropriate macronutrient balance as well as a low probability of nutrient excess within an appropriate amount of energy.
Nutrient, macronutrient, and energy distributions were evaluated at key intervals by expert advisors to the food intake pattern development process. Deviations from these criteria were tolerated when either the limitations of the DRI standard or the databases upon which distributions were created were taken into consideration.
As well as modelling steps, a review of the evidence around food and risk of chronic disease provided additional information to develop the food intake pattern. The WHO/FAO Joint Report on Diet, Nutrition and the Prevention of Chronic Diseases (2003), including the background papers in the journal Public Health Nutrition (2004), and the 2005 Dietary Guidelines Advisory Committee Report (USA) were reviewed for convincing evidence on the association of foods and chronic disease risk.12-20
Consultation on a draft food intake pattern and the manner in which it was communicated was undertaken. Feedback from stakeholders contributed to the final food intake pattern.
Although amounts of food were specified for individual age and gender groups, some stakeholders compared the lowest and highest number of servings recommended over all age and gender groups to the former range of servings in the 1992 Food Guide. This resulted in the perception that the revised food intake pattern was de-emphasizing the importance of vegetables and fruit, and was suggesting an increase in the consumption of meat.
Adjustments to the food intake pattern were made to address these issues. The number of servings of Vegetables and Fruit was increased from 9 to 10 servings in men 19-30 years. Furthermore, the size of a Food Guide Serving of Meat and Alternatives was adjusted to 75g instead of 50g with a subsequent adjustment downward in the number of Food Guide Servings of Meat and Alternatives. The total amount of Meat and Alternatives recommended was similar to that put forward in the draft food intake pattern but the number of servings no longer appeared to be greater than in the past. Simulated diets were created to assess the impact of these changes. Furthermore, stakeholder feedback led to placing increased emphasis on sodium by providing clear messages to help consumers reduce sodium intake.
The results of the review of the reports on foods and chronic disease risk revealed convincing evidence on the relationships between: consumption of vegetables and fruit and reduced risk of cardiovascular disease and cancer; consumption of whole grains and reduced risk of cardiovascular disease; consumption of milk products and reduced risk of osteoporosis; and consumption of fish, particularly fatty fish, and reduced risk of cardiovascular disease. Throughout the modelling process these associations were taken into consideration.
After the assessment of more than 50 food intake patterns, a final food intake pattern for 16 age and gender groups emerged and is shown in Tables 3a and 3b. In order to achieve satisfactory nutrient outcomes within a conservative number of calories, the pattern needed to specify particular amounts and types of foods. Statements reflecting the types of foods used in modelling, findings from the review of foods and chronic disease risk, and input from consultation are shown in Table 3c.
Simulated diets that followed the food intake pattern, which includes the statements, yielded satisfactory results across all nutrients and macronutrients examined as well as energy. For nutrients with an EAR, folate, iron, magnesium, niacin, phosphorus, riboflavin, thiamin, vitamin A, vitamin B6, vitamin B12, vitamin C, and zinc, the prevalence of inadequate nutrient content in simulated diets was less than ten percent. A sample distribution output (for folate) showing nutrient content of simulated diets across a range of percentiles is shown in Table 4. See Table 5 for a summary of results for nutrients assessed with an EAR.
For calcium, alpha-linolenic acid and vitamin D (except for those older than 50 years) the median nutrient content of the simulated diets approximately met the AI. See Table 6 for vitamin D content of simulated diets.
With the exception of sodium, the nutrient content of simulated diets was below the Tolerable Upper Intake Levels. See Table 7 for median sodium content of simulated diets.
The assessment of simulated diets relative to macronutrients yielded satisfactory results. See Table 8 for saturated fat content of simulated diets.
Nutrients for which less than perfect results were accepted after discussion with experts and advisors included: linoleic acid, potassium, fibre (particularly for children), and energy in certain age groups. The energy content of simulated diets is shown in Table 9.
The two-step method used to develop the food intake pattern builds on traditional methods of developing food guides and makes use of the DRI values and assessment methodology recommended in the DRI reports.
The use of food composites in step one provided a relatively quick and simple way to test different combinations of types and amounts of foods to generate a food intake pattern. However, because composites were representative, single values, it was like creating one single representative diet for each age and gender group, and the variability due to individual food selection was not taken into account.
The methodology used in step two recognized that a distribution of nutrient intakes results from following a proposed pattern. Simulating food guide consistent diets and evaluating the resulting nutrient distributions provided concrete support to the statement that the food intake pattern met nutrient needs, promoted health, and helped reduce the risk of nutrition-related chronic disease.
A low prevalence of inadequate nutrient content or nutrient excess in food guide consistent diets implies that for any individual person following the food guide the probability that their own nutrient requirements are not met or that nutrient excess occurs is also low. Because of this, it can be said that this food guide is suitable for use by individuals.
Development of the food intake pattern was rooted in the food choices of Canadians. The use of popularity lists from selected Federal-Provincial surveys ensured that, as much as possible the recommendations reflected the foods selected by Canadians. For instance, when lower fat fluid milk was specified, simulated diets included a selection of skim, 1% and 2% milk, as defined by relative popularity.
The challenge of increasing incidence of overweight and the importance of preventing obesity was considered carefully. The approach used consisted of meeting nutrient requirements and then assessing the energy distribution of the simulated diets against reference values assuming a sedentary level of activity.
Through the course of modelling, it was found that some nutrients were prevalent throughout the food supply and adequacy was achieved quite easily. However, there were nutrients for which adequate amounts could not be achieved within a reasonable amount of energy without having more specific guidance on the quality of food choices. Specifying the inclusion of particular sub-groups of foods improved the nutrient profile of diet patterns without increasing the total amount of food recommended. Statements highlighting particular sub-groups were included in the final food intake pattern for specific reasons:
Statements were also included to guide food choices consistent with an appropriate macronutrient profile and conservative energy levels. In addition, guidance to choose foods lower in salt and sodium was included with the food intake pattern because the median sodium content of the food intake pattern for many age and gender groups exceeded the Tolerable Upper Intake Level. Sodium is ubiquitous in the Canadian food supply. The following statements were included so that the total fat, saturated fat, and calorie content of the pattern remained appropriate, and to encourage food choices lower in salt:
The review of evidence on foods and risk of chronic disease supported the overall food intake pattern developed. In addition, convincing evidence of the relationship between consumption of fish, particularly fatty fish, and reduced risk of cardiovascular disease led to the inclusion of the statement:
Eat at least two Food Guide Servings of fish each week."
The major sources of vitamin D in the Canadian food supply are foods to which vitamin D is added. All cows' milk and margarine are fortified with vitamin D. Because it is a commonly-consumed food, fluid milk is a major dietary source of vitamin D in Canada. For this reason, for all ages it is recommended to "Have 500 mL (2 cups) of milk every day for adequate vitamin D."
The results in Table 6 show that the median vitamin D content of the food intake pattern for people over the age of 50 was below the AI. Trying to increase the vitamin D content of the food intake pattern through food sources alone was deemed impractical because it required the pattern contain unrealistic daily amounts of specific foods. For instance, four to six cups of fluid milk would be required to satisfy vitamin D requirements in people over the age of 50.
Thus, it was recommended that in addition to following Canada's Food Guide, all adults over the age of 50 should take a daily vitamin D supplement of 10 micrograms (400 IU). With this additional amount of vitamin D, the median vitamin D content of the food intake pattern for people over the age of 50 was at or exceeded the AI for this nutrient.
While there are other dietary patterns that are consistent with health, this food intake pattern was developed in the Canadian context and promotes a pattern of eating that meets nutrient needs, promotes health and reduces the risk of nutrition-related chronic disease. The food intake pattern includes advice on the quantity of food that is age and gender specific as well as guidance on the quality of food choices.
This innovative evidence-based approach builds on assessment methods recommended in the Dietary Reference Intakes reports. The strength of this approach is the ability to assess the prevalence of nutrient inadequacy if the food intake pattern is followed. Any person following the food intake pattern has a high probability of meeting their nutrient requirements as well as a low probability of nutrient excess. The food intake pattern developed through this method achieves satisfactory results across the nutrients assessed and is consistent with evidence linking diet to reduced risk of chronic disease development.
The authors would like to thank the members of the Expert Advisory Committee on Dietary Reference Intakes for their advice and guidance throughout the development of the food intake pattern.
Table 1. Food groupings for modelling (modelling groups)
|Vegetables and Fruit||Vegetables||Dark green vegetables|
|Higher fat potato choices|
|Lower fat potato choices|
|Fruit and juices||Fruit|
|Grain Products||Whole grain products||Higher fat whole grains|
|Lower fat whole grains|
|Non-whole grain products||Higher fat non-whole|
|Lower fat non-whole|
|Milk and Alternatives||Fluid milk and fortified plant based beverages||Higher fat fluid|
|Lower fat fluid|
|Milk products||Higher fat other|
|Lower fat other|
|Meat and Alternatives||
Fresh and processed meat
|Higher fat fresh meat|
|Lower fat fresh meat|
|Fresh and processed fish and shellfish|
|Pulses/alternatives Legumes, peanuts, tofu and meat analogs|
|Nuts and nut products Excludes peanuts. Includes sunflower and other seeds|
|Foods outside of the four food groups||Fats||Saturated fats Butter, shortening, cream cheese, stick margarine, whipping cream etc.|
|Unsaturated fats Tub margarine, vegetable oils, salad dressings, mayonnaise etc.|
|Confectionaries and sugars Sugar, frozen desserts, pies, candies, chocolate coated granola bars, Danish pastries etc.|
|Non-alcoholic beverages||Higher calorie Carbonated beverages, fruit drinks, and hot chocolate made with water etc.|
|Lower calorie Coffee, tea, artificially sweetened drinks etc.|
|Salty snack foods Potato chips, tortilla chips, popcorn, pretzels etc.|
|Other/miscellaneous Condiments, spices, etc.|
|Vegetables and Fruit||Vegetables||Dark green vegetables|
|Bananas raw 5.6%||Lettuce salad 8.2%||Broccoli boiled 19.7%|
|Lettuce salad 4.8%||Tomatoes raw 6.6%||Lettuce romaine 14.3%|
|Tomatoes raw 3.8%||Soup vegetable 4.6%||Cucumber raw +peel 13.9%|
|Apples raw 3.7%||Broccoli boiled 3.1%||Peas green 6.5%|
|Soup vegetable 2.7%||Cabbage raw 2.9%||Peppers green 6.5%|
|Food Group||2-3 y||4-8 y||9-13 y||14-18 y||19-30 y||31-50 y||51-70 y||71+ y|
|Vegetables and Fruit||4||5||6||8||10||8||7||7|
|Milk and Alternatives||2||2||3-4||3-4||2||2||3||3|
|Meat and Alternatives||1||1||2||3||3||3||3||3|
|Unsaturated fat (g)||30||30||30||45||45||45||45||45|
|Food Group||2-3 y||4-8 y||9-13 y||14-18 y||19-30 y||31-50 y||51-70 y||71+ y|
|Vegetables and Fruit||4||5||6||7||8||7||7||7|
|Milk and Alternatives||2||2||3-4||3-4||2||2||3||3|
|Meat and Alternatives||1||1||1||2||2||2||2||2|
|Unsaturated fat (g)||30||30||30||30||30||30||30||30|
|Vegetables and Fruit||Eat at least one dark green and one orange vegetable each day.|
|Choose vegetables and fruit prepared with little or no added fat, sugar or salt.|
|Have vegetables and fruit more often than juice.|
|Grain Products||Make at least half of your grain products whole grain each day.|
|Choose grain products that are lower in fat, sugar or salt.|
|Milk and Alternatives||Drink skim, 1%, or 2% milk each day.|
|Select lower fat milk alternatives.|
|Meat and Alternatives||Have meat alternatives such as beans, lentils and tofu often.|
|Eat at least two Food Guide Servings of fish each week.|
|Select lean meat and alternatives prepared with little or no added fat or salt.|
|Oils and Fats||Include a small amount - 30 to 45 mL (2 to 3 Tbsp) - of unsaturated fat each day. This includes oil used for cooking, salad dressings, margarine and mayonnaise.|
|Age and gender||Mean||P1||P5||P10||P25||P50||P75||P90||P95||P99||P EAR||P% Below EAR|
|M 2-3 y||244||114||142||162||193||234||280||329||351||610||120||1.2|
|M 4-8 y||301||161||195||213||243||292||337||386||426||844||160||1.0|
|M 9-13 y||433||272||314||338||377||420||470||533||580||688||250||0.4|
|M 14-18 y||540||359||400||418||468||524||587||657||713||793||330||0.2|
|M 19-30 y||632||424||492||513||559||623||689||748||796||903||320||0.0|
|M 31-50 y||575||369||416||447||500||559||627||695||735||1167*||320||0.0|
|M 51-70 y||491||306||347||374||421||480||547||623||662||721||320||1.6|
|M 71 y +||472||282||329||350||406||461||537||599||643||752||320||3.6|
|F 2-3 y||250||124||146||166||194||233||287||349||390||570||120||0.6|
|F 4-8 y||300||181||201||224||253||290||333||380||434||562||160||0.4|
|F 9-13 y||426||259||299||320||353||406||470||523||566||1260*||250||0.4|
|F 14-18 y||461||310||337||359||408||456||505||559||602||682||330||3.4|
|F 19-30 y||516||338||370||394||442||504||571||648||698||803||320||0.4|
|F 31-50 y||452||290||321||339||387||445||502||558||604||785||320||4.8|
|F 51-70 y||446||280||315||343||382||438||494||561||603||711||320||6.0|
|F 71 y +||432||271||309||325||367||414||479||564||614||752||320||8.0|
* Most of the folate in the food intake pattern comes from natural sources and therefore the folate content of simulated diets at the 99th percentile for selected age and gender groups does not exceed the Tolerable Upper Intake Level (which for folate, applies to synthetic forms).
P = percentile
EAR = Estimated Average Requirement
% Below EAR = prevalence of diets with nutrient content below the EAR
|Age and gender||Folate||Magnesium||Niacin||Phosphorus||Riboflavin||Thiamin|
|M 2-3 y||1.2||-||-||-||-||-|
|M 4-8 y||1.0||-||-||-||-||-|
|M 9-13 y||0.4||-||-||-||-||-|
|M 14-18 y||0.2||1.0||-||-||-||-|
|M 19-30 y||-||-||-||-||-||-|
|M 31-50 y||-||6.4||-||-||-||-|
|M 51-70 y||1.6||7.8||-||-||-||-|
|M 71 y +||3.6||12.0*||-||-||-||-|
|F 2-3 y||0.6||-||-||-||-||0.2|
|F 4-8 y||0.4||-||-||-||-||-|
|F 9-13 y||0.4||-||-||1.2||-||-|
|F 14-18 y||3.4||3.6||-||-||-||-|
|F 19-30 y||0.4||0.2||-||-||-||-|
|F 31-50 y||4.8||3.6||-||-||-||-|
|F 51-70 y||6.0||1.0||-||-||-||-|
|F 71 y +||8.0||0.8||-||-||-||-|
|Age and gender||Vit. A||Vit. B6||Vit. B6||Vit. C||Zinc||Iron**|
|M 2-3 y||-||-||-||0.2||-||2.6|
|M 4-8 y||-||-||-||0.4||0.2||3.5|
|M 9-13 y||0.4||-||-||0.4||-||-|
|M 14-18 y||10.6*||-||-||0.2||-||-|
|M 19-30 y||2.4||-||-||-||0.4||-|
|M 31-50 y||3.8||-||-||2.0||0.6||-|
|M 51-70 y||3.2||-||-||7.2||0.4||-|
|M 71 y +||2.4||-||-||8.0||1.0||-|
|F 2-3 y||-||-||-||0.2||-||2.5|
|F 4-8 y||-||-||-||-||0.2||3.7|
|F 9-13 y||-||-||0.2||0.8||12.0*||0.2|
|F 14-18 y||1.4||-||-||0.6||0.6||1.6|
|F 19-30 y||0.8||0.4||-||0.6||0.6||2.6|
|F 31-50 y||1.8||0.2||-||1.4||1.2||4.7|
|F 51-70 y||0.4||0.4||0.8||3.4||0.6||-|
|F 71 y +||1.2||-||0.8||4.2||0.8||-|
Only values above 0.0% are shown.
* Departures from the 10% threshold were tolerated because additional modelling suggested the threshold is within the range of uncertainty for the observed proportion.
** The full probability method was used in assessment of iron content.
|71 y +||15.0||11.3||6.1|
|71 y +||2300||3046||2607|
|2-3 y||< 10%||9.2||9.0|
|4-8 y||< 10%||8.2||8.2|
|9-13 y||< 10%||7.9||7.4|
|14-18 y||< 10%||7.0||7.3|
|19-30 y||< 10%||6.0||5.8|
|31-50 y||< 10%||6.7||6.7|
|51-70 y||< 10%||7.3||6.4|
|71 y +||< 10%||7.2||6.8|
|Age and gender||Sedentary Reference EER*||P50||P10 - P90|
|M 2-3 y||1050 - 1200||1087||915 - 1291|
|M 4-8 y||1250 - 1500||1209||1051 - 1402|
|M 9-13 y||1550 - 2050||1882||1637 - 2154|
|M 14-18 y||2250 - 2500||2335||2079 - 2622|
|M 19-30 y||2450 - 2550||2344||2100 - 2605|
|M 31-50 y||2250 - 2450||2151||1933 - 2406|
|M 51-70 y||2050 - 2250||2179||1885 - 2501|
|M 71 y +||1850 - 2050||2152||1878 - 2453|
|F 2-3 y||1050 - 1100||1099||899 - 1323|
|F 4-8 y||1100 - 1350||1221||1058 - 1429|
|F 9-13 y||1400 - 1700||1726||1475 - 2041|
|F 14-18 y||1700 - 1800||1899||1660 - 2206|
|F 19-30 y||1850 - 1950||1830||1571 - 2106|
|F 31-50 y||1750 - 1900||1651||1439 - 1936|
|F 51-70 y||1600 - 1700||1796||1553 - 2071|
|F 71 y +||1450 - 1600||1779||1552 - 2009|
* The range in the reference values reflects the range of ages within the groups (71y+ includes 71y to 85y). The reference EER values represent a range of medians of estimated energy requirements (i.e. the ranges do not represent lower bounds and upper bounds).
P = percentile
EER = Estimated Energy Requirement
Figure 1. Process to Develop Food Intake Pattern