text:
This section addresses five major questions related to achieving recommended intakes of nutrients and special considerations:
What nutrients are most likely to be consumed in amounts low enough to be of concern?
What dietary pattern is associated with achieving recommended nutrient intakes?
What factors related to diet or physical activity may help or hinder achieving recommended nutrient intakes?
How can the flexibility of the food pattern be increased?
Are special nutrient recommendations needed for certain subgroups?
The search strategies used to find the scientific evidence related to each of these questions appear in Part D,
"Methodology." See Appendix G-3 for tables summarizing the findings related to Questions 3, 4, and 5.
Back to Top
At least 34 nutrients are needed for growth and normal body functioning. Nutrients function in many ways to build, maintain, and protect body structures and systems and to promote health. For example, some nutrients provide substrates or structure for various body tissues. Others serve as antioxidants, counteracting oxidative damage to biomolecules. Many nutrients are necessary for the production and functioning of compounds necessary for health such as hormones, enzymes, or coenzymes and for homeostasis of physiological systems. Some nutrients can be used as an energy source and others are necessary in various stages of energy production. Prospective epidemiological studies suggest that a healthy dietary pattern—one that provides recommended intakes of nutrients—reduces the risk of some common chronic diseases, including cardiovascular disease and some cancers (see Sections D3 to D8).
One premise of the Dietary Guidelines Advisory Committee (the Committee) is that the nutrients consumed should come primarily from foods. Many people understand the importance of good nutrition but believe that a daily vitamin pill will substitute for actually eating the foods that they know are good for them. However, the more scientists learn about nutrition and the human body, the more they realize the importance of eating whole foods. For example, some studies have shown that people who eat a diet rich in beta-carotene have a lower rate of several kinds of cancer. In contrast, studies have not shown that taking beta-carotene in pill form decreases the risk of cancer (Mannisto et al., 2004; Neuhouser et al., 2003). It is possible that beta-carotene and other nutrients are most beneficial to health when they are consumed in a natural form and in combination with each other, which occurs when a person consumes foods such as fruits, vegetables (including legumes), and whole grains. These foods contain not only the well-known vitamins and minerals that are often found in vitamin pills, but also hundreds of naturally occurring substances, including carotenoids, flavonoids and isoflavones, and protease inhibitors that may protect against cancer, heart disease, and other chronic health conditions. The Institute of Medicine (IOM) report Dietary Reference Intakes: Applications in Dietary Planning (IOM, 2003) notes instances when fortified foods may be advantageous, including providing additional sources of certain nutrients that might otherwise be present only in low amounts in some food sources, and providing nutrients in highly bioavailable forms. Fortification can provide a food-based means for increasing intakes of particular nutrients.
Another basic premise of the Committee is that Dietary Guidelines for Americans should provide guidance in obtaining all the nutrients needed for growth and health. To this end, the Committee recommends that food guidance aim to achieve the most recent Recommended Dietary Allowances (RDAs), Adequate Intakes (AIs), and Acceptable Macronutrient Distribution Ranges (AMDRs) considering the individual's life stage, gender, and activity level (IOM, 1997, 1998, 2000a, 2001a, 2002, 2004). The Committee also recommends that the guidance consider the Tolerable Upper Intake Levels (ULs) (IOM, 1997, 1998, 2000a, 2001a, 2002, 2004). For convenience in this report, the term Dietary Reference Intakes (DRIs) is used to refer to the RDAs, AIs, AMDRs, and ULs—the reference intakes that are to be considered in diet planning.
The RDA for a nutrient is "the dietary intake level that is sufficient to meet the nutrient requirement of nearly all healthy individuals in a particular life stage and gender group" (IOM, 2003, p 24). The AI is a recommended intake value used when an RDA has not been set for a nutrient. The AI
"is a value based on experimentally derived levels of intake or the mean nutrient intake by a group
. . . of apparently healthy people" (IOM, 2003, pp 24–25).
The IOM recommends that RDAs or AIs be used to plan diets for individuals (IOM, 2003). The planning of food intake patterns, which was introduced in Part C,
"Methodology," is an example of this application. Both the AI and RDA are intended to serve as a goal for individual intake by apparently healthy people. In general, these values are intended to cover the needs of nearly all persons in a life-stage group. Meeting the RDA provides assurance that the probability of inadequate dietary intake of the nutrient will not exceed 2 to 3 percent (IOM, 2003).
The UL is the highest level of usual intake that is likely to pose no risk of adverse health effects for nearly all individuals in the age and gender group. Since consuming intakes below the UL minimizes risk to the individual, dietary guidelines for individuals should avoid exceeding the UL (IOM, 2003).
Table D1-1, which lists nutritional goals for the U.S. Department of Agriculture's (USDA's) daily food intake pattern, shows nutrient intake goals based on the current DRIs.
Reported dietary intakes of the following nutrients are low enough to be of concern:
For adults: vitamins A, C, and E, calcium, magnesium, potassium, and fiber
For children: vitamin E, calcium, magnesium, potassium, and fiber.
Efforts are warranted to promote increased dietary intakes of vitamin E, potassium, and fiber regardless of age; increased intakes of vitamins A and C, calcium, and magnesium by adults; and increased intakes of calcium and magnesium by children age 9 years or older. Efforts are especially warranted to improve the dietary intakes of adolescent females.
To reach this conclusion, the Committee examined data from reports that used methods recommended by the IOM for assessing the prevalence of inadequate nutrient intakes in a population (IOM, 2001b), supplemented by data from the Centers for Disease Control and Prevention and from the Agricultural Research Service.
If a group has a high prevalence of inadequate dietary intake of a nutrient, that nutrient is called a shortfall nutrient. Such nutrients are consumed in amounts low enough to be of concern. Although the RDA is intended to be used in planning diets, it is not appropriate to use it for identifying the proportion of a group whose usual intake of a nutrient is less than the requirement for that nutrient (IOM, 2003). When available, the Estimated Average Requirement (EAR) is the value to be used for assessing adequacy of intake—that is, for determining the proportion of individuals whose usual intake is less than the EAR (IOM, 2001).
The usual intake is the long-run average intake. If intake data are available for at least 2 days, statistical methods can be used to estimate usual intake as described by Guenther et al. (1997) and by Nusser et al. (1996). Because the requirement distribution for iron is skewed, the probability approach (NRC, 1986) is the recommended method to determine the adequacy of intake of that nutrient. For nutrients for which there is an AI rather than an EAR, usual intake distributions are examined, if available, and mean intakes are compared with the AI (IOM, 2001). If mean intake is above the AI, a low prevalence of inadequate intakes is likely.
Published data using the nutrient assessment methods recommended by the IOM (2001) are available for vitamin E (Maras et al., 2004) and for intakes by school children of 13 nutrients (Suitor and Gleason, 2002). Foote and co-workers (2004) used related methods to calculate the probability of adequacy for individuals on a single day for 15 nutrients.
As shown in Table D1-2, the probability of adequate dietary intake of six nutrients
was less than 60 percent for the adult men and women. These nutrients include
vitamins E, A, C, and folate1, calcium, and magnesium.
As shown in Table D1-3, mean intakes of potassium and fiber are far below the
AI for all age groups. When mean intakes are below the AI for a nutrient, it
cannot be assumed that the prevalence of inadequacy is low. Table D1-4 shows
the results of an analysis of food intake data from the 1994–1996 Continuing
Survey of Food Intake by Individuals for 2,692 children of school age (Suitor
and Gleason, 2002). In contrast to Table D1-2, the values in this table represent
inadequacy rather than adequacy. Nearly 80 percent of all the children
had usual intakes of vitamin E that were below the EAR. The percentages of children
with usual nutrient intakes below the EAR tended to increase by age group and
were more pronounced for females than for males. For adults, reported folate
and magnesium intakes tended to be below the EAR for sizable percentages of children.
Suitor and Gleason (2002) present data for the usual distribution of calcium
intake by children. Median calcium intake was well below the AI beginning at
age 9 years. Shortfalls among children were most numerous and severe for females
age 14 to 18 years (Suitor and Gleason, 2002).
Although the percentages of males and females with folate intakes below the EAR are reported to be very high (see Tables D1-2 and D1-4), these values no doubt overestimate the problem (Foote et al., 2004; Suitor and Gleason, 2002). The data were collected before the Food and Drug Administration required the fortification of enriched grains with folic acid, the synthetic form of folate. In addition, the folate values are reported in milligrams of total folate rather than in dietary folate equivalents—the units in which the RDAs are given. Shikany and co-workers (2004) examined the effect of folic acid fortification on folate intake by using pre- and post-fortification folate databases to estimate folate intake of 77 women in a clinical trial involving cigarette smokers. Mean folate intake assessed with the post-fortification database was 63 percent higher than intake assessed with the prefortification database. In this small nonrepresentative study, the proportion of subjects with folate intakes below the EAR decreased (P<0.0001) from 75 percent before fortification to 40 percent after fortification. This study, although limited, suggests that folate may continue to be a nutrient of concern and that attention should be given to consuming foods that are rich sources of folate.
Advance data from National Health and Nutrition examination Survey (NHANES ) 1999–2000 (Ervin et al., 2004), based on 1-day diet recalls, cover years when folic acid fortification of enriched grain products was in effect but folate intakes are reported in micrograms of folic acid rather than dietary folate equivalents. Although the age groups do not correspond exactly when comparing median intake with the EAR, it appears that reported median intakes by all males and children under age 12 exceeded the EAR, while intakes by females age 12 and older were still lower than the EAR. For example, median folate intakes of women age 20 to 59 years were 291 µg per day as compared to the EAR of 320 µg per day. It is not known to what extent reporting intakes in dietary folate equivalents would increase the estimated intake values. Recent nationwide data on the distribution of usual folate intake are not yet available to determine whether folate intake is of concern for adult women in particular or the public in general.
The Committee gives special attention to four shortfall nutrients below: vitamin
E, calcium, potassium, and fiber. These four nutrients pose special challenges
in developing dietary guidance to meet recommended food intakes, as explained
later in this section. We address iron and vitamins B12, D, and folate
under Question 5, which deals with special populations. In addition, we present
more detailed information about the nutrients water, sodium, potassium, and fiber
in later sections of Part D. Low intakes of vitamins A, C, and magnesium tend
to reflect low intakes of fruits and vegetables. The food pattern described below
show that these nutrient requirements can be met by increasing the intake of
fruits and vegetables. Tables D1-5a, D1-6a, and D1-7a list the best food sources
of vitamin A, C, and magnesium per standard amount, respectively, from the Agricultural
Research Service nutrient database, along with the number of calories for that
standard amount. Tables D1-5b, D1-6b, and D1-7b list the major sources of these
nutrients from American food consumption data.
The U.S. Department of Agriculture (USDA) (Fed. Reg. Notice, 2003) proposed a food intake pattern with the goal of meeting recommended intakes for all nutrients. The basic food groups used in this pattern and mentioned below are fruits, vegetables, grains, meat and beans, and milk. The proposed pattern has since been revised by USDA in collaboration with the Committee, to take into account the newly released IOM recommendations for potassium and sodium (IOM, 2004). Methods used in developing these patterns are summarized in Part C of this report. The revised food intake pattern meets nutritional recommendations for almost all nutrients, including most of the nutrients considered shortfall nutrients. Exceptions are vitamin E and potassium, as described below.
Vitamin E. As
shown in Tables D1-2 and D1-4, and reported by Maras et al. (2004),
vitamin E is a shortfall nutrient for nearly the entire population
of U.S. adults
and children. Although these data suggest widespread deficiency, there
is no evidence of overt deficiency symptoms, i.e., sensory neuropathy
and erythrocyte
fragility, in the American population. Current intake levels likely
are underestimated because of the underreporting of food intake on
dietary surveys, especially
related to the intake of fats and oils, and the limitations of nutrient
databases with regard to the vitamin E content of foods (IOM, 2000a;
Maras et al.,
Most Americans do not typically consume foods that are especially rich in vitamin E on a daily basis. Table D1-8a lists the best food sources of vitamin E per standard amount from the Agricultural Research Service nutrient database along with the number of calories for that amount. Table D1-8b lists the major sources of vitamin E from American food consumption data. Although salad dressings, mayonnaise, and oils provide the greatest amount of vitamin E in American diets overall, the oil most commonly used in these products—soybean oil—is not an especially rich source of vitamin E. Oils containing higher amounts of vitamin E—sunflower, cottonseed, and safflower oils—are less commonly consumed. The same is true for nuts—almonds and hazelnuts are relatively rich in vitamin E; but peanuts and peanut butter, with lower levels of vitamin E, represent the majority of all nut consumption in the United States.
The revised USDA food intake pattern includes increases in vitamin E content over current consumption but still provides only 50 to 90 percent of the RDA for vitamin E. The food composites used in modeling the food pattern are relatively low in vitamin E content, reflecting Americans' relatively low use of foods rich in vitamin E. As the calorie level of the food pattern increases, the pattern comes closer to providing the recommended intake of vitamin E.
Calcium. Milk and milk products are rich sources of calcium. Table D1-9a lists foods that provide at least 20 percent of the adult AI for calcium in standard amounts along with the number of calories provided by that serving size. Milk and milk products also are the major sources of calcium in U.S. diets (Table D1-9b), but calcium intake falls considerably short of the AI for most age groups beginning at age 9 years, especially for females. The revised USDA food pattern specifies 2 or 3 cups per day from the milk group, based on the calorie level of the pattern,2 and meets the goals for calcium intake. The rationale for Question 4 below includes several tables that address ways to achieve recommended calcium intake. Part D, Section 5,
"Selected Food Groups," addresses relationships of milk products with health.
Potassium. Potassium intake falls short of the AI for all age groups examined, but sources of potassium come from all the basic food groups. Table D1-10a lists the potassium content and calories for standard amounts of foods ranked by potassium content. For calorie levels at or above 1,600 kcal per day, the revised USDA food pattern provides more than 76 percent of the AI for potassium. For calorie levels less than 1,600 kcal per day, only 64 to 75 percent of the AIs would be met. As was the case for vitamin E, some of the food composites used in modeling the food pattern are relatively low in potassium content, reflecting Americans' relatively low use of some of the better potassium sources (see Table D1-10b for a list of major sources of potassium in American diets). The rationale for Question 2 below describes how this problem was addressed.
Fiber. As for potassium, fiber intakes fall short of the AIs for all age groups examined. Table D1-11a lists the fiber content and calories for standard amounts of foods ranked by fiber content. As can be seen in Table D1-11b, the major source of fiber in the U.S. diet is yeast bread; however, white bread, which is the most common form of yeast bread, does not appear in the list of foods that are among the best fiber sources. The large amount of white yeast breads consumed (as bread, rolls, buns, and pizza crust) causes this food to be a major fiber contributor to American diets. However, legumes, many vegetables and fruits, and whole grains are far better dietary fiber sources for a standard amount.
Table D1-12 identifies the functions of the shortfall nutrients that are listed above. Increasing one's intake of each of these nutrients to achieve recommended nutrient intakes can help promote health.
Two major aspects of the USDA dietary pattern contribute to meeting nutrient intake recommendations:
Consumption of foods from each of the basic food groups:
Consumption of a variety of food commodities within each of those food groups—since higher energy intake is strongly associated with greater variety and higher nutrient intake, attention also should be given to food group choices that maintain appropriate energy balance.
This conclusion is supported by food pattern modeling conducted by USDA's Center for Nutrition Policy and Promotion (CNPP) and by one published study (Foote et al., 2004) that links survey data on food intake with data on nutrient intakes. It also is supported by information on nutrients provided by the basic food groups and their subgroups.
The USDA method of food pattern modeling, which is described
briefly in Part C, "Methodology," and in detail in "Notice
of Availability of Proposed Food Guide
Pyramid Daily Food Intake Patterns and Technical Support
Data" (Fed. Reg. Notice, 2003), is a well-documented approach
for developing food patterns (Welsh et al.,
1993). The method is intended to develop the food pattern
that meets the DRIs and that is as realistic and practical
as possible (Fed. Reg. Notice, 2003).
Food intake patterns were first developed using this method
in the 1980s, and became the scientific basis for the Food
Guide Pyramid. In 2003, a new pattern
(developed using this same method) was proposed and submitted
for public comment by USDA. Since then, USDA has slightly
revised the proposed pattern to account
for recent recommendations for potassium and sodium (IOM,
2004) and provided the Committee with the revised pattern.
USDA states that it will use this report
of the 2005 Dietary Guidelines Advisory Committee to finalize
a new food intake pattern and will then develop graphic
and educational materials for the public
based on these patterns.
In developing the new daily food pattern, the nutrient content of preliminary patterns was compared to the new nutritional goals. If the goals were not met at a given calorie level, amounts from food groups or subgroups that were higher in the nutrients in question were increased, and corresponding changes were made in other groups to maintain total calories at the goal level. The adjustments were made in an iterative manner, to bring the pattern closer to its nutritional goals.
Most of the nutritional goals for the USDA food intake pattern, as identified in the Federal Register Notice, were met by making relatively modest changes from the pattern used in the original Pyramid (Welsh et al., 1993) (see Appendix G-2 for a table of food patterns from the original Pyramid.) Changes included:
Increasing the number of calorie levels from 3 (1,600; 2,200; 2,800) to 12 (every 200 calories from 1,000 to 3,200).
Separation of discretionary fats into solid fats and oils and soft margarines, and a shift in the proportions recommended to 40 percent solid fats, 60 percent oils—The original Pyramid patterns did not distinguish among types of fats, and the proportions were therefore the estimated intake proportions of 58 percent solid fats, 42 percent oils.
Increasing the amounts of vegetables for some calorie levels—To meet nutritional goals, the overall amounts of vegetables recommended were increased for several calorie levels.
Change in the relative amounts of vegetable subgroups—The nutrient profiles of dark green vegetables and legumes were relatively high in the nutrients needed to meet unmet nutrient goals. Therefore, amounts of these vegetables were preferentially increased and amounts of the remaining vegetable subgroups (starchy, orange, and other vegetables) were held constant or decreased.
Increase in the amount of whole grains, to one-half of the total amount in every pattern—Enriched grains were proportionately decreased. At least 3 oz of whole grains are provided for the calorie levels equal to and above 1600 kcal per day.
The Committee examined these data and noted the concern identified by USDA that the pattern provides only 50 to 75 percent of the RDA for vitamin E at all except the highest calorie levels. In contrast, the pattern provides well over 100 percent of the RDA for many of the nutrients.
The Committee also noted that the nutrient profiles use the lowest fat forms of each food in the food group and/or a form free of added sugars. Thus, the foods that make up the composite could be described as a nutrient dense version of the foods. Examples include nonfat milk, chicken without the skin, and ground beef with no more than 5 percent fat. Although this approach allows food pattern recommendations to provide individuals a way to meet their nutrient needs while avoiding the overconsumption of calories and of food components such as saturated fats, the Committee recognized that this key aspect of the nutrient profiles could be overlooked easily and merits emphasis in nutrition education efforts.
In February 2004, the IOM released the report Dietary Reference Intakes for Water, Potassium, Sodium, Chloride, and Sulfate (IOM, 2004). This report included new AIs for potassium—values that were more than two times as high as the potassium goals used in developing the food pattern published in the Federal Register Notice. Consequently, at the Committee's request, USDA made adjustments in the food intake pattern so that it would provide higher percentages of the AI for potassium. The adjustments required increasing milk or other milk products to 3 cups or the equivalent, increasing vegetables by 0.5 cups and increasing fruits by 0.5 cups, per day. To compensate for the calories provided by the increases in these three groups, the amounts of grains in the pattern were decreased by about 1 ounce equivalent, and added sugars and solid fats were decreased for some age and/or sex groups.
Tables D1-13 and D1-14 show the revised USDA food pattern that incorporates the new standards for potassium.4 The nutritional goals for this pattern, shown in Table D1-1, were based on the current Dietary Reference Intakes (IOM, 1997, 1998, 2000a, 2001a, 2002, 2004). The nutrient content that was assigned to a standard amount of food from each food group and subgroup appears in Table D1-15. The values in Table D1-15 were used in combination with the daily intake amount for each food group or subgroup to estimate the amounts of nutrients provided by the food intake pattern (Table D1-16).
The revised food intake pattern differs in important ways from food intake patterns that reflect usual food consumption by Americans. In particular, for many age groups and energy levels the pattern includes:
more green vegetables, orange vegetables, legumes, fruits, whole grains, and milk
less enriched grains, total fats (especially solid fats), and added sugars
As shown in Table D1-13, the food pattern includes suggested amounts to eat from each of the basic food groups: fruits, vegetables, grains, meat and beans (which includes meat, poultry, fish, dry beans, eggs, and nuts), and milk (which includes nonfat milk, yogurt, and cheese).
The food pattern also shows suggested amounts of oils to consume, because oils are major contributors of essential fatty acids and vitamin E. In addition, the pattern lists amounts of discretionary
calories that can be accommodated within each calorie level. Table D1-14 provides more detail about discretionary calories and lists one way these calories can be split—between solid fats and added sugars. These solid fats and added sugars may be contained in selections made from the basic food groups. For example, the fats in low-fat or whole milk and in higher-fat meat products are counted as solid fats; and the sugars that are added in the processing of sweetened cereals, fruits canned in syrup, or cookies are counted as added sugars. Similarly, one needs to count solid fats (e.g., butter) or various sugars (e.g., syrup) that are added to foods. Discretionary calories may also be used to increase the amounts of nutrient-dense choices from any food group, such as increased amounts of fruits or vegetables. (See Section D-3,
"Discretionary Calories," for further information.)
Clearly, examination of Table D1-16 reveals that following the proposed pattern for one's calorie level would promote reaching recommended intakes of almost all nutrients. The RDA or AI is reached or exceeded for nearly all nutrients at most calorie levels. Vitamin E remains the leading exception. By making careful selections from Table D1-8a, the vitamin E recommendations could be achieved while limiting total fat intake to 20 to 35 percent of energy. Potassium is another exception: at 2,000 calories or below, less than 90 percent of the AI for potassium is provided by the revised food pattern. Selecting fruits and vegetables that have relatively high potassium content helps to meet the AI for potassium. A number of these foods are listed in Table D1-10a.
The only published study (Foote et al., 2004) that links food intake with current
recommended nutrient intakes (IOM, IOM, 1997, 1998, 2000a, 2001a, 2002, 2004)
used data on adults in the Continuing Survey of Food Intakes by Individuals
(CSFII) 1994–1996. Foote and colleagues (2004) found high correlations among
energy intake, intakes from the five food groups, and the variety of different
food commodities consumed from the basic food groups. Food commodities represent
different food types, such as beef, oranges, wheat, and milk. Different preparations
of these foods would be counted as the same basic food commodity. For example,
for variety within the grain group, rice, white bread, and oatmeal would count
as different commodities, but white bread, pancakes, and English muffins would
not be considered different commodities. The combination of energy, intakes from
the five food groups, and dietary variety was a strong predictor of the mean
probability of adequacy (R2 = .73 for men and .70 for women).
Dietary variety within the milk and grain groups was more strongly correlated
with improved nutrient adequacy than was variety within the remaining food groups.
However, this analysis does not include data on potassium or fiber intake.
A number of studies have been conducted to determine the extent to which Americans have followed the guidance provided by the Food Guide Pyramid and how this relates to their nutrient intake. For example, three studies compare food intakes from national surveys with the recommended number of servings of food from the original Pyramid food intake pattern (Cleveland et al., 2000; Krebs-Smith et al., 1997; Munoz et al., 1997). In most cases, the revised food intake pattern in Table D1-13 specifies more servings of fruits, vegetables, and whole grains than does the 1992 Pyramid food pattern.
Cleveland et al. (2000) analyzed food and nutrient intake by adults, using data from CSFII 1994–1996 that focused on whole grain intake. These investigators found that consumers of whole grains had significantly better vitamin and mineral profiles than nonconsumers. Whole grain consumers also were more likely to meet Pyramid recommendations for the grain, fruit, and milk groups. Only 17 percent of the population consumed at least 2 servings of whole grains per day.
Two early studies analyzed food and nutrient intake data from CSFII 1989–1991 using Pyramid recommendations based on energy. Krebs-Smith et al. (1997) reported that adults who met Pyramid recommendations for all food groups had mean vitamin and mineral intakes that exceeded 100 percent of the 1989 RDA (NRC, 1989) mean daily fiber intake of 22 g, and fat intake at the then recommended level of 30 percent of calories. In contrast, at least one nutrient intake shortfall was found for food group patterns that did not meet one or more of the Pyramid food group recommendations. Munoz et al. (1997) found comparable micronutrient results for children who met the Pyramid recommendations, and they reported a mean daily fiber intake of 19 g. The children's fat intake averaged 35 percent of calories. In both studies, fewer than 5 percent of the population met all Pyramid recommendations.
Basic Food Groups in the USDA Food Intake Pattern.
Table D1-17 summarizes the nutrient contributions of each of the basic food groups and of subgroups for vegetables and grains. To prepare the table, the percent contribution from each food group to the total intake of a nutrient was calculated at each calorie level and then averaged across all calorie levels. The method used to develop this table appears in Appendix G-2 along with more detailed results. Since the amount of nutrients provided by each food group is estimated based on foods commonly consumed in the United States, the nutrient contributions of food groups to an individual's diet could differ somewhat, depending on the foods selected from each group. The
"Major Contribution" column identifies any nutrient provided by the food group in an amount greater than that provided by any of the other food groups.
Results of the analysis include the following:
Each food group is the major contributor of at least one nutrient. In addition, each group makes substantial contributions of many other nutrients. Each vegetable subgroup provides at least one nutrient in an amount exceeding 10 percent of the total, even though the amount of food specified for each vegetable subgroup is relatively small.
For a few nutrients, the food group that is the major contributor of a nutrient shifts from calorie level to calorie level within the USDA food pattern. For example, for potassium, the milk group is the major contributor at most calorie levels, but at higher calorie levels there are more fruit servings, thereby making the fruit group the major contributor of potassium.
For a few nutrients, a single food group provides a majority of the overall amount in the food pattern. This is true for vitamin C, for which the fruit group provides about 67 percent of the total; calcium, for which the milk group provides about 67 percent; and linoleic and α-linolenic acids, for which oils and soft margarines provide about 59 percent and 53 percent, respectively. For all other nutrients, no single food group provides more than half of the total amount of the nutrient provided by the food pattern.
Each food group provides a wide array of nutrients in substantial amounts, emphasizing the importance of including all food groups in the daily diet.
The revised USDA food intake pattern results from a modeling process that integrated
nutrient recommendations from the IOM, as described above. Because the process
did not include the preparation of actual menus, it is appropriate to confirm
that Western style menus can be constructed that meet the new IOM's nutrient
recommendations. It also is useful to document the health effects of dietary
patterns similar to the revised USDA food intake pattern since one goal of using
the pattern is to help reduce the risk of chronic disease. To this end, results
from the Dietary Approaches to Stop Hypertension (DASH) trials (Appel et al.,
1997; Sacks et al., 2001) are informative.
The first DASH trial was a randomized feeding study that tested the effects of three distinct dietary patterns on blood pressure. Participants were randomized to (1) a control diet, (2) a fruits and vegetables diet, or (3) a diet now termed the DASH diet. The control diet had a nutrient composition that is typical of that consumed by many Americans. Its potassium, magnesium, and calcium levels were relatively low, and its macronutrient profile and fiber content corresponded to average U.S. consumption. The fruits and vegetables diet was rich in potassium, magnesium, and fiber but otherwise similar to the control diet. The DASH diet emphasized fruits, vegetables, and low-fat dairy products; included whole grains, poultry, fish, and nuts; and was reduced in red meat, sweets, and beverages with added sugars. The DASH diet was rich in potassium, magnesium, calcium, and fiber, and was reduced in total fat, saturated fat, and cholesterol; it also was slightly increased in protein. A 7-day menu cycle at each of four kcal levels (1,600, 2,100, 2,600 and 3,100) was prepared using commonly available foods (Karanja et al., 1999). As displayed in Table D1-18, the nutrient profile of the DASH diet is nearly identical to that of USDA revised food pattern.
Among all participants, the DASH diet significantly lowered mean systolic blood pressure by 5.5 mmHg and mean diastolic blood pressure by 3.0 mmHg (net of control). The fruits and vegetables diet also significantly reduced blood pressure but to a lesser extent: it had about half of the effect of the DASH diet. In subgroup analyses, the DASH diet significantly lowered blood pressure in all major subgroups (men, women, blacks, non-blacks, hypertensives and non-hypertensives). In blacks, blood pressure reductions (systolic blood pressure/diastolic blood pressure) from the DASH diet (6.9/3.7 mmHg) were significantly greater than corresponding reductions in white participants (3.3/2.4 mmHg). The reductions in hypertensive individuals (11.6/5.3 mmHg) were striking and have obvious clinical relevance. In non-hypertensive individuals, corresponding net blood pressure reductions were 3.5/2/2 mmHg. Such blood pressure reductions, while smaller in magnitude, nonetheless have substantial public health relevance. In the DASH-Sodium trial, the DASH diet also lowered blood pressure at each of three sodium levels. In addition to blood pressure reduction, the DASH diet had beneficial effects on blood lipids (Obarzanek et al., 2001; Harsha et al., 2004) and on several biomarkers, including homocysteine (Appel et al., 2000) and markers of oxidative stress (Miller et al., 1998) and bone turnover (Lin et al., 2003).
It has been estimated that a population-wide reduction in BP of the magnitude observed in DASH could reduce stroke incidence by 27 percent and coronary heart disease (CHD) by 15 percent (Appel et al. 1997). Further reduction in CHD risk might be anticipated from changes in lipids and perhaps homocysteine. In observational epidemiological studies, dietary patterns similar to the DASH diet have been associated with a reduced risk of ischemic heart disease in men (Hu et al., 2000) and women (Fung et al., 2001).
Part D, Section 6, "Selected Food Groups," addresses relationships of the following food groups to health: fruits, vegetables, whole grains, and milk products.
A sedentary lifestyle limits the amount of calories needed to maintain one's
weight. Careful food selection is needed to meet recommended nutrient intakes
within this calorie limit. Diets that include foods with a high nutrient content
relative to calories are helpful in achieving recommended nutrient intakes without
excess calories. Diets that include a large proportion of foods or beverages
that are high in calories but low in nutrients are unlikely to meet recommended
intakes for micronutrients and fiber, especially for sedentary individuals.
This conclusion is based on a review of data on the effects of physical activity
on the total energy requirement from a combination of 26 clinical trials and
review articles related to nutrient density and dietary diversity (see Appendix
G-3), 12 of which are cited within the body of the text. It also is based on
studies of the effects of intake of added sugars on nutrient intake, which are
covered in detail under Question 4 in Section 5, "Carbohydrates".
The higher one's physical activity level, the higher the
energy requirement, and the easier it is to plan a food intake
pattern that meets
recommended nutrient intakes. This is apparent when one examines
the percentages of recommended nutrient intakes (see Table
D1-16) that are provided by the revised
USDA food intake pattern. The food intake pattern at higher
energy (calorie) levels results in intakes that are less
likely to be below recommended nutrient
intakes and more likely to exceed them. In addition, it allows
more leeway for foods that contain added sugars and solid
fats. As reported by Foote et al. (2004),
energy intake is the strongest predictor of the mean probability
of adequacy. Increasing one's physical activity level is
a healthy way to increase one's energy
requirement (see Section 2, "Energy," for additional information
about physical activity).
Nutrient-dense foods are those that provide substantial amounts vitamins and
minerals and relatively fewer calories. Foods that are low in nutrient density
are foods that supply calories but relatively small amounts of micronutrients
(sometimes none at all). In contrast, energy-dense, nutrient-poor foods supply
relatively small amounts of vitamins and minerals with many calories. A number
of epidemiological studies using data obtained from national surveys suggest
that energy-dense, nutrient-poor foods may displace nutrient-dense foods, potentially
reducing the consumption of foods from the five foods groups to lower levels
than recommended and limiting one's ability to achieve recommended nutrient intakes
(Kant, 2000, 2003; Kant and Schatzkin, 1994). Increased intake of energy-dense,
nutrient-poor foods was reported to result in increased total daily energy intake
and smaller proportions of the population meeting the RDA for various nutrients.
Respondents consuming a high proportion of energy-dense, nutrient-poor foods
were more likely to report either no servings or less than the recommended number
of servings of foods from the major food groups (Kant and Schatzkin, 1994). The
strongest independent negative predictor of the reported number of foods of low
nutrient density was the amount of nutrient-dense foods from the five major food
groups (Kant and Graubard, 2003).
Dietary diversity among and within food groups was not related to total energy, fat, sugar, sodium, or cholesterol intake (Krebs-Smith et al., 1987), but individuals who consumed the greatest variety of foods (among the food groups, not within the food groups) had the most adequate nutrient intake (Kant et al., 1991).
Individuals consumed more total food when offered several different foods than when variety was more limited (Bellisle and Magnen, 1981; Pliner et al., 1980; Rolls et al., 1981a, 1981b, 1982; Spiegel and Stellar, 1990). In contrast, increased amounts of low-energy vegetables, prompted by high variety, have resulted in decreased energy intake and body fatness (McCory et al., 1999). The long-term effects of dietary variety on food intake and body weight are unknown.
Choosing foods that are rich sources of nutrients in short supply can be an effective way to put the concept of nutrient density into action. Using the food pattern in Table D1-13 that is appropriate for one's energy needs is one way to achieve a diet that meets recommended nutrient intakes.
Added sugars are defined as sugars and syrups that are eaten separately
at the table or added to foods during processing or preparation. As presented
in detail in Section 5, "Carbohydrates," 19 papers show a decreased intake of
at least 1 micronutrient with higher levels of added sugar intake. That section
also provides evidence that small amounts of added sugars may have a beneficial
effect on intake of vitamins and minerals, probably by improving the palatability
of foods and beverages that might otherwise not be consumed.
By careful planning that considers the relative nutrient content of different
foods, substitutions can be made to a food intake pattern to achieve recommended
nutrient intakes.
The Committee used empirical methods to identify ways to build flexibility
into its recommendations for food guidance. In particular, the Committee asked
USDA to use food pattern modeling or other nutrient analysis methods to identify
ways to increase the flexibility of the proposed USDA food pattern while continuing
to meet the nutritional goals. See Appendix G-2 for information about these analyses.
Specific requests included identifying substitutions for refined grain products,
legumes, and milk and milk products; comparing the nutrient contributions of
fruits with fruit juices; and developing a lacto-ovo-vegetarian food pattern
that met nutrient goals.
For individuals who choose not to eat legumes or refined grains, USDA staff
prepared short lists of specific amounts of foods that could be substituted without
substantially changing the nutrients or calories provided by a food pattern.
For example, specified amounts of whole grains, dark green vegetables, and other
vegetables could be substituted for a serving of legumes. More information appears
in Part E and in Appendix G-2.
The milk group provides more than 70 percent of the calcium consumed by Americans.
Other choices of dietary calcium are available (see Table D1-9a and Table D1-19)
for those who choose not to consume the recommended quantities of milk products.
Both calcium content and bioavailability should be considered when selecting
dietary sources of calcium. Some plant foods have calcium that is well absorbed,
but the large quantity of plant foods that would be needed to provide as much
calcium as in a glass of milk may be unachievable for many. Many other calcium-fortified
foods are available, but the percentage of calcium that can be absorbed is unavailable
for many of them.
For individuals who avoid milk because of its lactose content, the most feasible way to obtain all the nutrients provided by dairy is to substitute lactose-reduced or low-lactose milk products (see Part E).
The inclusion of milk products in the proposed food pattern contributes important amounts of calcium, potassium, magnesium, and vitamin A (see Table D1-20). Moreover, low calcium intakes have been associated with low intakes of magnesium, riboflavin, vitamin B6, vitamin B12, and thiamin (Barger-Lux et al., 1992). Increased milk product intake was associated with increased intake of calcium, magnesium, potassium, zinc, iron, vitamin A, riboflavin, and folate by Americans over the age of two (Weinberg et al., 2004). Without milk products in the revised USDA food intake pattern, calcium intakes range from 321 to 965 mg per day less than recommended intakes (see Table D1-21). These calcium values are the amounts provided by 1.1 to 3.2 glasses of milk. To meet recommended nutrient intakes, the food intake pattern that excludes milk would need to include a much larger amount of calcium-containing green vegetables and legumes than typically consumed by Americans.
Nondairy alternatives for calcium such as calcium-fortified orange juice or calcium-fortified soy products are listed in Table D1-19. This table considers only calcium and not the other nutrients provided by milk.
The Committee also asked USDA to examine appropriate partitioning of the fruit
group into fruit and juices. The question being addressed was,
"How would guidance
on the proportion of juice supplied by fruit juice affect the meeting of nutritional
goals?" This question stemmed from a recent recommendation of the American Academy
of Pediatrics (AAP) to limit fruit juice to no more than 4 to 6 ounces per day
for children age 1 to 6 years, and to no more than 8 to 12 ounces per day for
children age 7 to 18 years (AAP, 2001). Based on the fruit group analysis, the
recommendation is to consume no more than one-third of the total recommended
fruit group intake amount from fruit juice and the remainder from whole fruit
(fresh, frozen, canned, dried). Increasing the proportion of fruit that is eaten
in the form of whole fruit rather than juice is desirable to increase fiber intake,
but it calls for more attention to consuming foods that are high in potassium.
The fruit juices most commonly consumed by older children and adults provide
more vitamin C, folate, and potassium in portions usually consumed than do the
commonly eaten fruits. The recommended intake of fruits and juices achieve an
optimal balance.
The Committee also asked USDA to examine how substituting nuts, seeds, and
legumes for the meat, poultry, and fish in the food pattern would affect the
nutrient profile of the food group. The amount of eggs in the pattern was held
constant. Although the nutrient profile of the egg, nut, seed, and legume group
differed in some ways from the original "meat and beans group," it still provided
for a food pattern that met recommended nutrient intakes. The lacto-ovo-vegetarian
pattern was higher in vitamin E, fiber, and folate than the original pattern.
It was lower, although still at or above recommendations, in protein, many B
vitamins, and zinc; and it was lower in cholesterol.
The Subcommittee considered the possibility of recommending that nuts, seeds,
and legumes become a separate food group because they are rich sources of trace
nutrients and rich in diverse phytochemicals. Some nuts are also rich in vitamin
E, and nuts may promote satiety. However, the most commonly consumed types of
nuts (i.e. peanuts) are not especially high in vitamin E, and the consumption
of large amounts of nuts could lead to an excess intake of calories. Rather than
creating a separate food group for nuts and seeds, the Committee decided to recommend
selecting choices from a list of foods rich in vitamin E as a means to help individuals
increase their intakes of that vitamin. It was suggested that modifying the USDA
food model system to include a food group rich in vitamin E, such as nuts or
seeds, could provide a food pattern that meets the RDA for vitamin E (King et
al., 1978). The lacto-ovo vegetarian pattern developed by USDA includes what
is essentially a nut/seed/legume group that includes eggs, to replace all meat,
poultry, and fish servings. The vitamin E in this pattern is 70 percent RDA at
1,800 kcal and 84 percent at 2,200 kcal. It does not reach 100 percent RDA until
2,800 calories.
Special nutrient recommendations are warranted for the following subgroups
and nutrients:
Adolescent females and women of childbearing age—iron and folic acid
Persons over age 50—vitamin B12
The elderly, persons with dark skin and persons exposed to insufficient UVB radiation—vitamin D
A conclusion specific to each group and nutrient follows, along with the rationale.
Substantial numbers of adolescent females and women of childbearing age have
laboratory evidence of iron deficiency. Efforts are warranted to increase the
dietary intake of iron-rich foods and of enhancers of iron absorption by these
Laboratory data from the Third National Health
and Nutrition Examination Survey (1988–1994) indicate that iron deficiency
(defined as having an abnormal value for at least two of three laboratory tests
of iron status) affects 7.8 million adolescent females and women of childbearing
age (age 12 to 49 years) (Looker et al., 1997). That is, 9 to 11 percent of nonpregnant
women of childbearing age were iron deficient, and 2 to 5 percent of the women
had iron deficiency anemia. These findings suggest the need to encourage this
age group to increase dietary intake of iron-rich foods and of enhancers of iron
absorption (meat and vitamin C). A list of sources of iron is provided in Table
D1-22a and D1-22b.
Since folic acid reduces the risk of the neural tube defects (NTD), called
spinal bifida and anencephaly, daily intake of 400 µg of synthetic folic acid
(from supplements or fortified food) is recommended for women who are capable
of becoming pregnant and those in the first trimester of pregnancy.
The folic acid conclusion is based on the extensive review conducted by the
IOM (IOM, 1998) and review of the two available reports on effects of folic acid
fortification of enriched grain products. Based on its review of 7 population-based
studies, 1 controlled metabolic study plus 1 additional piece of evidence, the
IOM concluded, "the recommendation for women capable of becoming pregnant is
to take 400 µg of folate from fortified foods and/or a supplement as well as
food folate from a varied diet. It is not known whether the same level of protection
could be achieved by using food that is naturally rich in folate" (IOM, 1998,
p 12).
Since the relatively new folic acid fortification program to reduce the risk of NTDs could influence the need for obtaining folic acid from supplements, the Committee reviewed the two available reports on the effects of the fortification program. Evans et al. (2004) report that, post fortification, the percentage of high maternal serum alpha-fetoprotein values obtained during midtrimester of pregnancy decreased by 32 percent. The Centers for Disease Control and Prevention (CDC, 2004b) report that the incidence of spinal bifida and anencephaly decreased by 26 percent between the pre- and post-fortification periods (1995–1996 and 1999–2000), suggesting that the fortification of enriched grains has helped reduce risk. They note that the observed decrease in NTD-affected pregnancies is less than the estimate that was based on data from research trials.
A substantial proportion of individuals over age 50 may have reduced ability
to absorb naturally occurring vitamin B12 but not the crystalline
form. Thus, all individuals over the age of 50 should be encouraged to meet their
RDA for vitamin B12 by eating foods fortified with vitamin B12
such as fortified cereals, or by taking the crystalline form of vitamin B12
This conclusion was supported by evidence from a systematic review conducted
for the IOM (IOM, 1998) and by recent laboratory studies to screen for functional
vitamin B12 status, as summarized below, resulting in 11 studies.
According to the National Health and Nutrition Examination Survey in 1999–2000 for the U.S. population, mean daily vitamin B12 intake was above the RDA for all ages and both sexes, and ranged from 2.9 to 5.1 µg (CDC, 2004a). For people age 40 to 59 and age 60 and above, the mean and standard deviation of vitamin B12 intake were 5.1±0.37 and 4.5±0.25 µg/day, respectively. Data are not available regarding the amount of crystalline vitamin B12 consumed from fortified foods and supplements by people over age 50.
Based on a systematic, extensive review of the literature, the IOM (1998) set the RDA for vitamin B12 at 2.4 µg per day. However, since 10 to 30 percent of the older population may be unable to absorb naturally-occurring vitamin B12, the IOM advised that persons age 50 and older should meet their RDA mainly by consuming foods fortified with vitamin B12 or by taking vitamin B12-containing supplements. This RDA was based on the amount needed to maintain the hematological status, as well as the normal serum vitamin B12 level. Neurological manifestation of vitamin B12 deficiency was not used to establish vitamin B12 status since it occurs at a later depletion stage than does the hematological status. Furthermore, the progression of neurological manifestation is variable, generally gradual, and currently not amenable for easy quantification.
This conclusion was further supported by recent studies utilizing serum radioimmunoassays of vitamin B12, combined with serum total homocysteine (tHcy) and methylmalonic acid (MMA) values, to screen for functional vitamin B12 status. A low serum vitamin B12 value (< 300 pg/mL), high serum MMA value (> 0.4 µmol/L), and tHcy greater than 15.0 µmol/L would suggest vitamin B12 deficiency. Using results from these three laboratory tests, Clarke and colleagues (2004) reported the prevalence rate of vitamin B12 deficiency to be 1 in 20 among people age 65 to 74, and 1 in 10 among people age 75 and older. Additionally, various clinical trials (McKay et al., 2000), either among free-living or institutionalized elderly, demonstrated that either oral vitamin B12 supplements alone or multivitamin/mineral supplements could improve vitamin B12 status.
A screening procedure using serum radioimmunoassay of vitamin B12 combined with serum tHcy and MMA has been recommended for all individuals over age 65 to detect vitamin B12 deficiency (Dharmarajan et al., 2003; Klee, 2000).
The elderly, persons with dark skin, and persons exposed to insufficient UVB
radiation are at risk of being unable to maintain vitamin D status. Persons in
these high-risk groups may need substantially more than the 1997 AI for vitamin
D from vitamin D-fortified foods and/or vitamin D supplements.
The relationship of vitamin D to health was evaluated from a systematic review
of the scientific literature, which produced 28 studies and 14 reviews—largely
articles that were unavailable when the IOM conducted its review on which the
AIs for vitamin D were based (IOM, 1997). Adequate vitamin D status, which depends
on dietary intake and cutaneous synthesis, is important for optimal calcium absorption,
and it can reduce the risk for bone loss.
The criterion used by the IOM for setting the AI was the normal concentration of serum 25-hydroxyvitamin D concentration, an indicator of vitamin D status. In the absence of consensus for optimal vitamin D status based on functional indicators, the IOM panel identified normal ranges for serum 25-hydroxyvitamin D. The normal range for various populations is broad with means of serum 25-hydroxyvitamin D ranging from 25 to 137.5 nmol/L. Newer information on the relationship of serum 25-hydroxyvitamin D to health, the relationship of vitamin D intake to serum 25-hydroxyvitamin D concentration, vitamin D status of the U.S. population, and safety of vitamin D intakes is summarized in a supplement of a National Institutes of Health conference held in October 2003 (NIH, 2004). Two functionally relevant measures indicate that optimal serum 25-hydroxyvitamin D may be as high as 80 nmol/L. Among postmenopausal women who lived in Omaha, Nebraska, and who were supplemented with vitamin D, calcium absorption efficiency increased with increasing serum 25-hydroxyvitamin D values up to 80 nmol/L (Heaney et al., 2003b). Serum parathyroid hormone, which stimulates bone resorption, decreases with increasing serum 25-hydroxyvitamin D values up to 80 nmol/L (Chapuy et al., 1997; Thomas et al., 1998). Serum 25-hydroxyvitamin D values are below 80 nmol/L for much of the population (Looker et al., 2002; see Table D1-23). The elderly and individuals with dark skin are at a greater risk of low serum 25-hydroxyvitamin D concentrations (Holick 1985; Holick et al., 1989; Looker et al., 2002). Also at risk are those exposed to insufficient UVB radiation for the cutaneous production of vitamin D, e.g., housebound individuals. Serum 25-hydroxyvitamin D values increase with increasing oral vitamin D intake in both young and older subjects (Vieth et al., 2003). Further data are needed to determine if a serum 25-hydroxyvitamin D concentration of 80 nmol/L is sufficient to increase the efficiency of calcium absorption or to reduce PTH levels in the populations at risk.
For individuals within the high-risk groups, substantially higher daily intakes of vitamin D, i.e., 25 µg or 1000 IU of vitamin D, have been recommended to reach and maintain serum 25-hydroxyvitamin D values at 80 nmol/L (Heaney and Weaver, 2003; Holick, 2004). Applying the slope (0.7 mmol/L/microgram vitamin D) from the regression between vitamin D intake and change in serum 25-hydroxyvitamin D derived from a dose response study in men (Heaney et al., 2003b) to the mean serum 25-hydroxyvitamin D concentrations in the U.S. population shown in Table D1-23, one can estimate the additional vitamin D intake required to achieve and maintain a target vitamin D status. For example, women over age 80 with mean serum 25-hydroxyvitamin D values of 59.6 nmol/L might need to increase their vitamin D intakes by 29 µg or 1166 IU per day to achieve serum values of 80 nmol/L. Mean current consumption of vitamin D in females over age 71 participating in NHANES III was only 4.5 µg or 180 IU of vitamin D (Moore et al., 2004), an amount considerably below the 1997 AI of 600 IU. Dark skinned subgroups have lower vitamin D status than comparable fair-skinned subgroups, but the optimal vitamin D status and the ability of vitamin D intakes to increase serum 25-hydroxyvitamin D concentrations in various subgroups are not known.
A recent estimate of the vitamin D intakes of Americans surveyed in either NHANES III, 1988–1994, or the Continuing Survey of Food Intakes by Individuals (CSFII) 1994–1996, 1998, showed that the average reported intakes from food and supplements by all age and gender groups were below the 1997 IOM AI for vitamin D (Moore et al., 2004). Less than 10 percent of older adults (age 51 to 70) and only about 2 percent of the elderly (older than age 70) met the AI from food sources alone. Less than a third of the adolescent and adult women met the AI.
Fatty fish is the primary natural food source of vitamin D. Other good sources are all foods that have been vitamin D fortified: milk and some brands of margarine, ready-to-eat breakfast cereal, enriched rice and pasta, and fruit juices and drinks. Different kinds of vitamin D-fortified foods differ in the amounts of vitamin D they contain (Table D1-24). Vitamin D intakes of approximately 1000 IU per day can be achieved by consuming 3 cups of vitamin D fortified milk per day (300 IU) plus a supplement containing vitamin D (600 IU) plus 1 cup of vitamin D fortified orange juice (100 IU). Although this level of vitamin D intake exceeds the AI of 600 IU per day for an elderly person, there is no evidence that consuming this amount will have a detrimental effect on health. No signs of hypercalcemia or hypercalicuria were observed with healthy men and women who were given 4000 IU of vitamin D per day for 2 to 5 months (Vieth et al., 2001). For evaluation of vitamin D status, at-risk individuals should consult their physician.
Meeting nutrient recommendations is a basic premise of dietary guidance for Americans, but controlling calorie intake also is important. Most Americans consume too little vitamin E, potassium, and fiber; and many consume too little vitamin A, vitamin C, calcium, and magnesium. To meet nutrient recommendations, the committee recommends that children and adults consume a variety of foods from each of the basic food groups (fruits; vegetables; grains; milk, yogurt, and cheese; and meat, poultry, fish, dry beans, eggs, and nuts). To meet nutrient recommendations while controlling calories, it helps to choose foods that are high in nutrient content but low to moderate in calories and to increase one's level of physical activity.
Additional nutrient recommendations are warranted for a few large subgroups of the population, as follows:
Adolescents and females of childbearing age need extra iron and folic acid
Persons over age 50 benefit from taking vitamin B12 in its crystalline form from foods fortified with this vitamin or supplements that contain vitamin B12
The elderly, persons with dark skin, and persons exposed to insufficient UVB radiation need extra vitamin D from vitamin D-fortified foods and/or supplements that contain vitamin D.
American Academy of Pediatrics. The use and misuse of fruit juice in pediatrics. Pediatrics 107(5):1210-1213, 2001.
Appel LJ, Miller ER 3rd, Jee SH, Stolzenberg-Solomon R, Lin PH, Erlinger T, Nadeau MR, Selhub J. Effect of dietary patterns on serum homocysteine: results of a randomized, controlled feeding study. Circulation 22;102(8):852-857, August 2000.
Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, Bray GA, Vogt TM, Cutler JA, Windhauser MM, Lin PH, Karanja N. A clinical trial of the effects of dietary patterns on blood pressure. New England Journal of Medicine 336:1117-1124, 1997.
Barger-Lux MJ, Heaney RP, Packard PT, Lappe JM, Recker RR. Nutritional correlates of low calcium intake. Clinical Applications of Nutrition 2:39-44, 1992.
Bellisle F, Le Magnen J. The structure of meals in humans: eating and drinking patterns in lean and obese subjects. Physiology and Behavior 27(4):649-658, 1981.
Centers for Disease Control and Prevention (CDC). Dietary intake of selected vitamins for the United States population: 1999-2000. Advance Data from Vital and Health Statistics 339:1-5, March 12, 2004a.
CDC. Spina bifida and anencephaly before and after folic acid mandate: United States, 1995-1996 and 1999-2000. Morbidity and Mortality Weekly Report 53(17):362-365, May 7, 2004b.
Chapuy MC, Preziosi P, Maamer M, Arnaud S, Galan P, Hercberg S, Meunier PJ. Prevalence of vitamin D insufficiency in an adult normal population. Osteoporosis International 7:439-443, 1997.
Clarke R, Evans JG, Schneede J, Nexo E, Bates C, Fletcher A, Prentice A, Johnston C, Ueland PM, Refsum H, Sherliker P, Birks J, Whitlock G, Breeze E, Scott JM. Vitamin B12 and folate deficiency in later life. Age and Aging 33:34-41, 2004.
Cleveland LE, Moshfegh AJ, Albertson AM, Goldman JD. Dietary intake of whole grains. Journal of the American College of Nutrition 19(3 Suppl):331S-338S, 2000.
Cotton PA, Subar AF, Friday JE, Cook A. Dietary sources of nutrients among U.S. adults, 1994 to 1996. Journal of the American Dietetic Association 104:921-930, 2004.
Craddick SR, Elmer PJ, Obarzanek E, Vollmer WM, Svetkey LP, Swain MC. The DASH diet and blood pressure. Current Atherosclerosis Reports 5(6):484-491, November 2003.
Dharmarajan TS, Adiga GU, Norkus EP. Vitamin B12 deficiency: recognizing subtle symptoms in older adults. Geriatrics 58(3):30-38, 2003.
Ervin RB, Wang CY, Wright JD, Kennedy-Stephenson J. Dietary intake of selected minerals for the United States population: 1999-2000. Advance data from vital and health statistics: no. 341. Hyattsville, MD: National Center for Health Statistics, 2004.
Evans MI, Llurba E, Landsberger EJ, Obrien JE, Harrison HH. Impact of folic acid fortification in the United States: markedly diminished high maternal serum alpha-fetoprotein values. Obstetrics & Gynecology 103(3):474-479, 2004.
Federal Register Notice Vol. 68, No. 176, Pg. 53536, September 11, 2003.
Foote JA, Murphy SP, Wilkens LR, Basiotis PP, Carlson A. Dietary variety increases the probability of nutrient adequacy among adults. Journal of Nutrition 134:1779-1784, 2004.
Fung TT, Willett WC, Stampfer MJ, Manson JE, Hu FB. Dietary patterns and the risk of coronary heart disease in women. Archives of Internal Medicine 13-27;161(15):1857-1862, August 2001.
Guenther PM, Kott PS, Carriquiry AL. Development of an approach for estimating usual nutrient intake distributions at the population level. Journal of Nutrition 127(6):1106-1112, 1997.
Harsha DW, Sacks FM, Obarzanek E, Svetkey LP, Lin PH, Bray GA, Aickin M, Conlin PR, Miller ER 3rd, Appel LJ. Effect of dietary sodium intake on blood lipids: results from the DASH-sodium trial. Hypertension 43:393-398, 2004.
Heaney RP, Davies KM, Chen TC. Serum 25-hydroxy-cholecalciferol response to extended oral dosing with cholecalciferol. American Journal of Clinical Nutrition 77:204-210, 2003a.
Heaney RP, Dowell S, Hale CA, Bendich A. Calcium absorption varies within the reference range for serum 25-hydroxyvitamin D. Journal of the American College of Nutrition 22:142-146, 2003b.
Heaney RP, Weaver CM. Calcium and vitamin D. In: Bilezikian JP ed. Endocrinology and Metabolism Clinics of North America: Osteoporosis 32:181-194, Philadelphia, PA: Elsevier Science, WB Saunders, 2003.
Heaney RP, Weaver CM, Hinders SM, Martin B, Packard PT. Absorbability of calcium from brassica vegetables: broccoli, bok choy, and kale. Journal of Food Science 58(6):1378-1380, 1993.
Holick MF. Vitamin D: importance in the prevention of cancers, type 1 diabetes, heart disease, and osteoporosis. American Journal of Clinical Nutrition 79:362-371, 2004.
Holick MF. The photobiology of vitamin D and its consequences for humans. Annals of the New York Academy of Sciences 453:1-13, 1985.
Holick MF, Matsuoka LY, Wortsman J. Age, vitamin D, and solar ultraviolet. Lancet 4;2(8671):1104-1105, 1989.
Hu FB, Rimm EB, Stampfer MJ, Ascherio A, Spiegelman D, Willett WC. Prospective study of major dietary patterns and risk of coronary heart disease in men. American Journal of Clinical Nutrition 72:912-921, 2000.
Institute of Medicine (IOM). Dietary Reference Intakes for Water, Potassium, Sodium, Chloride, and Sulfate. Washington, DC: National Academies Press, 2004.
IOM. Dietary Reference Intakes: Applications in Dietary Planning. Washington, DC: National Academies Press, 2003.
IOM. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Washington, DC: National Academies Press, 2002.
IOM. Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium, and Zinc. Washington, DC: National Academies Press, 2001a.
IOM. Dietary Reference Intakes: Assessing Dietary Intakes. Washington, DC: National Academies Press, 2001b.
IOM. Dietary Reference Intakes for Vitamin C, Vitamin E, Selenium, and Carotenoids. Washington, DC: National Academies Press, 2000a.
IOM. Dietary Reference Intakes: Applications in Dietary Assessment. Washington, DC: National Academies Press, 2000b.
IOM. Dietary Reference Intakes for Thiamin, Riboflavin, Niacin, Vitamin B6, Folate, Vitamin B12, Pantothenic Acid, Biotin, and Choline. Washington, DC: National Academies Press, 1998.
IOM. Dietary Reference Intakes for Calcium, Phosphorus, Magnesium, Vitamin D, and Fluoride. Washington, DC: National Academies Press, 1997.
Kant AK. Reported consumption of low-nutrient-density foods by American children and adolescents: nutritional and health correlates, The Third National Health and Nutrition Examination Survey (NHANES III) 1988–1994. Archives of Pediatrics & Adolescent Medicine 157(8):789-796, 2003.
Kant AK. Consumption of energy-dense, nutrient-poor foods by adult Americans: nutritional and health implications. NHANES III 1988–1994. American Journal of Clinical Nutrition 72(4):929-936, 2000.
Kant AK, Graubard BI. Predictors of reported consumption of low-nutrient-density foods in a 24-hour recall by 8- to 16-year-old U.S. children and adolescents. Appetite 41(2):175-180, 2003.
Kant AK, Schatzkin A. Consumption of energy-dense, nutrient-poor foods by the U.S. population: effect on nutrient profiles. Journal of the American College of Nutrition 13(3):285-291, 1994.
Kant A, Schatzkin A, Block G, Ziegler R, Nestle M. Food group intake patterns and associated nutrient profiles of the U.S. population. Journal of the American Dietetic Association 91(12):1532-1537, 1991.
Karanja NM, Obarzanek E, Lin PH, McCullough ML, Phillips KM, Swain JF, Champagne CM, Hoben KP. Descriptive characteristics of the dietary patterns used in the Dietary Approaches to Stop Hypertension Trial. DASH Collaborative Research Group. Journal of the American Dietetic Association 99(8 Suppl):S19-27, 1999.
King JC, Cohenour SH, Corruccini CG, Schneeman P. Evolution and modification of the Basic Four Food Guide. Journal of Nutrition Education 10(1):27-29, 1978.
Klee GG. Cobalamin and folate evaluation: measurement of methylmalonic acid and homocysteine vs vitamin B12 and folate. Clinical Chemistry 46:8(B):1277-1283, 2000.
Krebs-Smith SM, Cleveland LE, Ballard-Barbash R, Cook DA, Kahle LL. Characterizing food intake patterns of American adults. American Journal of Clinical Nutrition 65(4 Suppl):1264S-1268S, 1997.
Krebs-Smith SM, Smiciklas-Wright H, Guthrie HA, Krebs-Smith J. The effects of variety in food choices on dietary quality. Journal of the American Dietetic Association 87(7):897-903, 1987.
Lin PH, Aickin M, Champagne C, Craddick S, Sacks F, McCarron P, Most-Windhauser M, Rukenbrod F, Haworth L. Food group sources of nutrients in the dietary patterns of the DASH-sodium trial. Journal of the American Dietetic Association 103; 488-496, 2003.
Looker AC, Dallman PR, Carroll MD, Gunter EW, Johnson CL. Prevalence of iron deficiency in the United States. Journal of the American Dietetic Association 277:973-976, 1997.
Looker AC, Dawson-Hughes B, Calvo MS, Gunter EW, Sahyoun NR. Serum 25-hydroxyvitamin D status of adolescents and adults in two seasonal subpopulations from NHANES III. Bone 30(5):771-777, 2002.
Mannisto S, Smith-Warner SA, Spiegelman D, Albanes D, Anderson K, van den Brandt PA, Cerhan JR, Colditz G, Feskanich D, Freudenheim JL, Giovannucci E, Goldbohm RA, Graham S, Miller AB, Rohan TE, Virtamo J, Willett WC, Hunter DJ, Neuhouser ML, Patterson RE, Thornquist MD, Omenn GS, King IB, Goodman GE. Dietary carotenoids and risk of lung cancer in a pooled analysis of seven cohort studies, Cancer Epidemiological Biomarkers & Prevention 13(1):40-8, 2004.
Maras JE, Bermudez OI, Qiao M, Bakun PJ, Boody-Alter EL, Tucker KL. Intake of alpha-tocopherol is limited among U.S. adults. Journal of the American Dietetic Association 104(4):567-575, 2004.
McCory MA, Fuss PJ, McCallum JE, Yao M, Vinken AG, Hays NP, Roberts SB. Dietary variety within food groups: association with energy intake and body fatness in men and women. American Journal of Clinical Nutrition 69(3):440-447, 1999.
McKay DL, Perrone G, Rasmussen H, Dallal G, Hartman W, Cao G, Prior R, Roubenoff R, Blumberg JB. The effects of a multivitamin/mineral supplement on micronutrient status, antioxidant capacity, and cytokine production in healthy older adults consuming a fortified diet. Journal of the American College of Nutrition 19(5):613-621, 2000.
Miller ER 3rd, Appel LJ, Risby TH. Effect of dietary patterns on measures of lipid peroxidation: results from a randomized clinical trial. Circulation 98:2390-2395, 1998.
Moore C, Murphy MM, Keast DR, Holick MF. Vitamin D intake in the United States. Journal of the American Dietetic Association 104:980-983, 2004.
Munoz KA, Kreb-Smith SM, Ballard-Barbash R, Cleveland LE. Food intakes of U.S. children and adolescents compared with recommendations. Pediatrics 100(3 Pt 1):323-329, 1997. Erratum in: Pediatrics 101(5):952-953, 1998.
National Institutes of Health (NIH). Raiten DJ and MF Picciano (Co-chairs). Vitamin D and Health in the 21st Century: Bone and Beyond. A conference conducted by the National Institutes of Health in Bethesda, MD, October 9–10, 2003. Accessed at: http://www.nichd.nih.gov/prip on 2 August 2004.
National Research Council (NRC). Recommended Dietary Allowances, 10th Ed. Washington, DC: National Academy Press, 1989.
NRC. Nutrient Adequacy. Assessment Using Food Consumption Surveys. Washington, DC: National Academy Press, 1986.
Neuhouser ML, Patterson RE, Thornquist MD, Omenn GS, King IB, Goodman GE. Fruits and vegetables are associated with lower lung cancer risk only in the placebo arm of the beta-carotene and retinal efficacy trial (CARET). Cancer Epidemiological Biomarkers & Prevention 12:350-358, 2003.
Nusser SM, Carriquiry AL, Dodd KW, Fuller WA. A semiparametric transformation approach to estimating usual daily intake distributions. Journal of the American Statistical Association 91:1440-1449, 1996.
Obarzanek E, Sacks FM, Vollmer WM, Bray GA, Miller ER 3rd, Lin PH, Karanja NM, Most-Windhauser MM, Moore TJ, Swain JF, Bales CW, Proschan MA; DASH Research Group. Effects on blood lipids of a blood pressure-lowering diet: the Dietary Approaches to Stop Hypertension (DASH) Trial. American Journal of Clinical Nutrition 74:80-9, 2001.
Pliner P, Polivy J, Herman CP, Zakalusn I. Short-term intake of overweight individuals and normal weight dieters and non-dieters with and without choice among a variety of foods. Appetite 1:203-213, 1980.
Rolls BJ, Rowe EA, Rolls ET. How sensory properties of foods affect human feeding behavior. Physiology & Behavior 29(3):409-417, 1982.
Rolls BJ, Rolls ET, Rowe EA, Sweeney K. Sensory specific satiety in man. Physiology & Behavior 27(1):137-142, 1981a.
Rolls BJ, Rowe EA, Rolls ET, Kingston B, Megson A, Gunary R. Variety in a meal enhances food intake in man. Physiology & Behavior 26(2):215-221, 1981b.
Sacks FM, Svetkey LP, Vollmer WM, Appel LJ, Bray GA, Harsha D, Obarzanek E, Conlin PR, Miller ER 3rd, Simons-Morton DG, Karanja N, Lin PH. Effects of blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. New England Journal of Medicine 344:3-10, 2001.
Shikany JM, Heimburger DC, Piyathilake CJ, Desmond RA, Greene PG. Effect of folic acid fortification of foods on folate intake in female smokers with cervical dysplasia. Journal of Nutrition 20(5):409-414, 2004.
Spiegel TA, Stellar E. Effects of variety on food intake of underweight, normal-weight and overweight women. Appetite 15(1):47-61, 1990.
Suitor CW, Gleason PM. Using Dietary Reference Intake-based methods to estimate the prevalence of inadequate nutrient intake among school-aged children. Journal of the American Dietetic Association 102:530-536, 2002.
Thomas MK, Lloyd-Jones DM, Thadhani RI, Shaw AC, Deraska DJ, Barrett TK, Vamvakas EC, Dick IM, Prince RL, Finkelstein JS. Hypovitaminosis D in medical inpatients. The New England Journal of Medicine 338:777-783, 1998.
Vieth R, Chan PC, MacFarlane GD. Efficacy and safety of vitamin D(3) intake exceeding the lowest observed adverse effect level. American Journal of Clinical Nutrition 73:288-294, 2001.
Vieth R, Ladak Y, Walfish PG. Age-related changes in the 25-hydroxyvitamin D versus parathyroid hormone relationship suggest a different reason why older adults require more vitamin D. The Journal of Clinical Endocrinology & Metabolism 88(1):185-191, 2003.
Weinberg LG, Berner LA, Groves JA. Nutrient contributions of dairy food in the United States, Continuing Survey of Food Intakes by Individuals, 1994–1996, 1998. Journal of American Dietetic Association 104:895-902, 2004.
Welsh SO, Davis C, Shaw A. USDA's Food Guide Background and Development. Miscellaneous Publication 1514:5-6, September 1993.
Kant AK. Consumption of energy-dense, nutrient-poor foods by adult Americans: nutritional and health implications. The Third National Health and Nutrition Examination Survey, 1988-1994. American Journal of Clinical Nutrition 72(4):929-936, 2000.
Kant AK, Graubard BI. Predictors of reported consumption of low-nutrient-density foods in a 24-h recall by 8-16 year old US children and adolescents. Appetite 41(2):175-180, 2003.
Kant AK, Schatzkin A. Consumption of energy-dense, nutrient-poor foods by the US population: effect on nutrient profiles. Journal of the American College of Nutrition 13(3):285-291, 1994.
Lin PH, Aickin M, Champagne C, Craddick S, Sacks F, McCarron P, Most-Windhauser M, Rukenbrod F, Haworth L. Food group sources of nutrients in the dietary patterns of the DASH-Sodium trial. Journal of the American Dietetic Association 103; 488-496, 2003.
Mannisto S, Smith-Warner SA, Spiegelman D, Albanes D, Anderson K, van den Brandt PA, Cerhan JR, Colditz G, Feskanich D, Freudenheim JL, Giovannucci E, Goldbohm RA, Graham S, Miller AB, Rohan TE, Virtamo J, Willett WC, Hunter DJ, Neuhouser ML, Patterson RE, Thornquist MD, Omenn GS, King IB, Goodman GE. Dietary carotenoids and risk of lung cancer in a pooled analysis of seven cohort studies, Cancer Epidemiol Biomarkers Prev.13(1):40-8, 2004.
Maras JE, Bermudez OI, Qiao M, Bakun PJ, Boody-Alter EL, Tucker KL. Intake of alpha-tocopherol is limited among US adults. Journal of the American Dietetic Association 104(4):567-575, 2004.
McCory MA, Fuss PJ, McCallum JE, Yao M, Vinken AG, Hays NP, Roberts SB. Dietary variety within food groups; association with energy intake and body fatness in men and women. American Journal of Clinical Nutrition 69(3):440-447, 1999.
McKay DL, Perrone G, Rasmussen H, Dallal G, Hartman W, Cao G, Prior R, Roubenoff R, Blumberg JB. The effects of a multivitamin/mineral supplement on micronutrient status, antioxidant capacity and cytokine production in healthy older adults consuming a fortified diet. Journal of the American College of Nutrition 19(5):613-621, 2000.
Miller ER 3rd, Appel LJ, Risby TH. Effect of dietary patterns on measures of lipid peroxidation: results from a randomized clinical trial. Circulation. 98:2390-5, 1998.
Moore C, Murphy MM, Keast DR, Holick MF. Vitmain D intake in the United States. Journal of the American Dietetic Association. 2004: 104:980-983.
Munoz KA, Kreb-Smith SM, Ballard-Barbash R, Cleveland LE. Food intakes of US children and adolescents compared with recommendations. Pediatrics 100(3 Pt 1):323-329, 1997. Erratum in: Pediatrics 101(5):952-953, 1998.
National Research Council (NRC). Recommended Dietary Allowances, 10th Ed. National Academy Press, Washington, DC, 1989.
National Research Council (NRC). Nutrient Adequacy. Assessment Using Food Consumption Surveys. National Academy Press, Washington, DC, 1986.
Neuhouser ML, Patterson RE, Thornquist MD, Omenn GS, King IB, Goodman GE. Fruits and vegetables are associated with lower lung cancer risk only in the placebo arm of the beta-carotene and retinal efficacy trial (CARET). Cancer Epidemiol Biomarkers Prev 12:350-8, 2003.
Pennington JAT. Bowes and Church's Food Values of Portions Commonly Used (15th edition). JB Lippincott Company, Philadelphia, 1989.
Rolls BJ, Rolls ET, Rowe EA, Sweeney K. Sensory specific satiety in man. Physiology & Behavior 27(1):137-142, 1981b.
Rolls BJ, Rowe EA, Rolls ET, Kingston B, Megson A, Gunary R. Variety in a meal enhances food intake in man. Physiology & Behavior 26(2):215-221, 1981a.
Sacks FM, Svetkey LP, Vollmer WM, Appel LJ, Bray GA, Harsha D, Obarzanek E, Conlin PR, Miller ER 3rd, Simons-Morton DG, Karanja N, Lin PH. Effects of blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. The New England Journal of Medicine 344:3-10, 2001.
U.S. Department of Agriculture and U.S. Department of Health and Human Services (USDA/HHS). Nutrition and Your Health: Dietary Guidelines for Americans. Home and Garden Bulletin No. 252. USDA, Washington, DC, 2000.
U.S. Department of Agriculture. Handbook No. 8, Composition of Foods, Human Nutrition Information Service, Science and Education Administration, 1989.
Weinberg LG, Berner LA, Groves JA. Nutrient contributions of dairy food in the United States, Continuing Survey of Food Intakes by Individuals, 1994-1996, 1998. Journal of American Dietetic Association 104:895-902, 2004.
1While the probability of adequacy for folate was found to be low, the data used were collected prior to the mandatory fortification of enriched grains with folate. See further discussion later in this section.
2In the food pattern with 1,000; 1,200; and 1,400 calories, which are targeted to children under 9 years of age, 2 cups from the milk group are recommended. In the food pattern with 1,600 calories and above, 3 cups from the milk group are recommended.
3Some patterns designed to meet nutrient intake recommendations divide this group into two groups: (1) meat, poultry, and fish and (2) seeds, dry peas and beans, and nuts.
4USDA has informed the Dietary Guidelines Advisory Committee that the final nutritional goals and food intake patterns will take into account all nutritional recommendations from this Committee.
of Contents
A. Executive Summary
B. Introduction
C. Methodology
D. Science Base
Read Public Comments


text:
The Shell Graduate Programme
Our three-year training programme offers talented individuals a comprehensive introduction to various areas of Shell's business and operations within the technical area of the Shell Graduate Programme. As part of Shell's Rotating Equipment Engineering team you'll play an essential role in maintaining our exceptional technical performance. Along with other talented professionals, you'll contribute to the overall success of Shell in a number of ways, including reducing capital expenditure on new projects or upgrading projects by selecting equipment based on the latest technology; increasing the reliability and availability of equipment; and optimising equipment operation to maximise production.

subset: commoncrawl


text:
U.S. Equal Employment
Opportunity Commission
DynMcDermott, ENGlobal Violated the ADA; DynMcDermott Is Also Charged With Violating the Age Discrimination in Employment Act
HOUSTON – Twenty years after the Americans With Disabilities Act ("ADA") was enacted, the Houston District Office of the U.S. Equal Employment Opportunity Commission (EEOC) has filed two separate lawsuits to enforce the ADA, demonstrating the on-going relevance of and need for the law in today's workplace. The ADA prohibits discrimination against employees and employment applicants with disabilities, including those who are regarded as disabled by their employers, and those who associate with persons who are disabled.
The lawsuits, filed today in the United States District Court for the Southern District of Texas, Houston
Division, address various unlawful practices by these two employers which are illustrative of the broad and necessary protections afforded by the ADA. In addition, one of the employers, DynMcDermott Petroleum Operations Company ("DynMcDermott") is also alleged to have violated the Age Discrimination in Employment Act ("ADEA"). The ADA and the ADEA are two of the civil rights/employment discrimination statutes the EEOC is charged with enforcing.
In the suit against ENGlobal Engineering, Inc. ("ENGlobal") (Civil Action No. 4:10-cv-XXXX), the EEOC alleges that the company terminated the employee, Jeff Rose ("Mr. Rose"), because it regarded him as being disabled. ENGlobal is a publicly traded corporation that provides engineering and professional services to the energy sector.
According to the EEOC, Mr. Rose had worked for ENGlobal as a safety supervisor for approximately two weeks when, unbeknownst to him, he began to develop multiple sclerosis ("MS") symptoms that did not debilitate nor substantially limit him. Mr. Rose informed his manager of the symptoms and kept him informed of the conversations he had with his doctors as they tried to ascertain what was wrong with him. As the manager learned more about Mr. Rose's condition and realized that he faced a potential MS diagnosis, the manager searched for a replacement and urged Mr. Rose to take medical leave despite the fact that he could continue working. After taking medical leave at his manager's insistence, Mr. Rose presented the company with a doctor's note stating that he had clearance to return to work. Although his position was available, ENGlobal's human resources manager falsely told Mr. Rose that it was not. Further, although the human resources manager then told Mr. Rose that ENGlobal would try to find him another position within the company, it took no such action. Three weeks later, ENGlobal hired another individual for Mr. Rose's position. It is the EEOC's position that ENGlobal's management violated the ADA by incorrectly and impermissibly viewing Mr. Rose as substantially limited in his ability to perform the work of any job within the company.
The ADA was also violated by DynMcDermott when the company failed to hire an applicant for employment, the EEOC alleged in the lawsuit filed against this employer for actions which occurred at its Winnie, Texas facility (Civil Action No. 4:10-cv-XXXX). The EEOC also maintains that DynMcDermott's actions violated the ADEA. According to the lawsuit, DynMcDermott is a privately-held corporation that provides maintenance and operations services for the Strategic Petroleum Reserve managed by the U.S. Department of Energy. The EEOC alleges that the applicant and employee, Phillip ("Mike") Swafford ("Mr. Swafford"), applied with DynMcDermott for a position he had previously held with the company. He was interviewed by and recommended for the position by both his former supervisor and the manager in charge of hiring for the position. Nonetheless, the facility's director, who had authority over both the supervisor and the hiring manager, stated to them and others, on at least two occasions, that Mr. Swafford should not be hired because of his age, then 56 years, and his wife's cancer, which the director simply assumed would interfere with Mr. Swafford's ability to perform his job duties. The EEOC alleges that this assumption and DynMcDermott's unwillingness to hire Swafford because of his age and his wife's cancer violated both the ADA and the ADEA. DynMcDermott ultimately hired a 35-year-old applicant with no prior experience with the company for the position.
R. J. Ruff, Jr., District Director of the EEOC's Houston District Office, said: "A broad range of practices can violate the employment discrimination laws we are charged with enforcing. As the ADA celebrates its twentieth anniversary, we unfortunately still find instances of disability discrimination in the workplace which must be addressed and remedied. Likewise, age discrimination in the workplace cannot be tolerated."
"Employers in all industries must be held accountable for knowing and complying with the law. As long as employers continue to violate the laws the EEOC is charged with enforcing, employees will continue to need EEOC intervention," said Jim Sacher, the EEOC's Regional Attorney.
The EEOC filed the lawsuits after conciliation efforts to reach a voluntary settlement with each employer were unsuccessful. In each lawsuit, the EEOC is seeking a permanent injunction prohibiting the relevant company from engaging in employment discrimination, as well as other non-monetary relief to address the unlawful practices. The EEOC is also seeking back pay, compensatory damages, punitive damages or liquidated damages, and other relief.
Anyone who believes he or she has been subjected to a discriminatory employment practice is encouraged to contact the EEOC's Houston District Office, which is located in downtown Houston on the sixth floor of the Mickey Leland Federal Building at 1919 Smith Street. Additional information about the EEOC is available on the agency's web site at www.eeoc.gov.


text:
Bars and circles
He uses this image to demonstrate that people understand better when we measure just changing one dimension (height or width) and not both. And he's right. And we, in Púbico, must recognize the 'mea culpa'. He doesn't say that circles are bad for graphics, we thinks they¡re right when we wnat the reader not the know the exact cypher, but a global vision.
I absolutely agree with Alberto, although I think there's one more reason for using circles: sometimes, with brs, the differences are so extreme tat there are not any possible way to place it on page. This times, circles are easier to place, showing the real difference, and without 'cutting' the bar. I prefer a difference that is not so clear at first sight that one that is 'false'. Anyway, I think is an advice more than needed.
There's another reason to use circles, and I won't recognize I've said this later... Writers and editors like color circles rather than neutral bars. As we stare to paes with puppies and babies. It's not a powerful reason to include this kind of graphics, and we never do it for this reason, but we must recognize that that 'exists'.
PS. TAlking about Alberto Cairo, he release his new infographics book in Spain in September. The bok is calledInfografía 2.0. Visualización interactiva de información en prensa (Inforgraphics 2.0, Interactive visualization of information on newspapers). This is not the book we've already talked about, Visual Journalism, but a good one to keep waiting. Just a problem: would be released just in spanish.
3 comments:
Generally, Alberto is right. But he did not show us what happen, when we have to distribute digit data on area, not on line. For example on map. Bars, which are not aligned are difficult to compare too. That way using circles seems to be more reasonable.
- 10 June 2008 at 13:42
- Chiqui Esteban said...
Alberto explains it on his blog, and says that circles on maps are allright, explaining that, usually, they show trends, more than excat data. You can take a look here (although it's in spanish)
And thanks for teh comment, Lech!
- 10 June 2008 at 13:46
- Alberto Cairo said...
Good point, Lech. I will try to explain what I meant in my article, which is in Spanish: Circles on maps are a completely different beast than comparison charts, as their goal is to show overall trends, not to allow you to compare each specific magnitude to the contiguous ones. Proportional symbol maps are very powerful and useful to give you "the general picture".
But when it comes to compare numbers, when each number has its own relevance, bar charts are far more powerful than circle ones simply because our brain compares more accurately just one magnitude (width OR height) rather than two (width AND height: surface). This is not an opinion. It is backed by cognitive tests.
- 15 August 2008 at 14:08


text:
BELMONT � In only its fourth year as program, Belmont Abbey College�s track and field teams are starting to take shape, even as they may lag behind their league rivals in numbers.
Second-year coach Mike De Witt�s 16-athlete men�s roster and 15-athlete women�s roster includes members from his cross country team and continues to show progress each and every year.
Having just completed its indoor season, the Crusaders are set to open the outdoor season March 14-17 at the Charlotte 49er Classic.
�We�re making really good progress,� De Witt said. �We�ve worked our way up every year.�
Last season, both teams finished seventh in the league�s outdoor championships and are projected to climb even higher this season; The men are picked fifth and the women sixth (out of eight teams) in their respective league races.
The Lady Crusaders return a two-time all-conference performer in JoJo Lind, a senior from St. Augustine, Fla. Lind won the discus the past two seasons and has been honored for the shot put and javelin throws.
�She�s throwing as well right now as she did at the end of last year,� De Witt said of Lind. �So we have high hopes for her.�
De Witt also has high hopes for runners Bri Crisci, Allyson Craven and Lucy Schmitz. Already in the indoor season, that trio has set school records � Crisci in the 400-meter dash and Craven and Schmitz in the 5,000-meter run. And Schmitz was named conference freshman of the year in the indoor meet after winning the one-mile run and finishing second in the 3,000-mile run.
The Crusaders return all-conference 1,500-meter runner Dustin Stewart, who broke his indoor mile run record earlier this season.
Other talented performers should be Tim Gill (1,500-meter run), Jean-Luc Rolland (triple jump), distance runner Ryan Caulley and high jumpers Darius Gardner and Joe Thierfelder.
In the conference indoor championships, the distance medley relay team of Gill, Steph Yves-Louis, Caulley and Stewart took first place.
�We�ll be OK in what we do,� De Witt said. �We still have small rosters, but everybody we have has the potential to score in their events.�
Richard Walker: 704-869-1841; twitter.com/JRWalk22
2013 Belmont Abbey track roster
Name Events Yr. Hometown
Tarik Amon Sprints Fr. Annapolis, Md.
Darren Balkey Distance Jr. State College, Pa.
Ryan Caulley Distance Fr. Hilliard, Ohio
Darius Gardner Sprints/jumps Fr. Salisbury
Tim Gill Distance Jr. Attleboro, Mass.
Mandrell Howard Throws Fr. Wahiawa, Hawaii
David Iverson Distance Fr. Skokie, Ill.
Stefan Johnson Sprints So. Haw River
Steph-Yves Louis Sprints So. Port-Au-Prince, Haiti
Michael Rogers Distance Jr. Gastonia
Jean-Luc Rolland Jumps So. Port-Au-Prince, Haiti
Steven Runcilman Sprints/jumps So. Asheboro
Jazz Samuel Sprints Jr. Mooresville
Frank Spicer Distance Jr. Clifton, Va.
Dustin Stewart Distance Jr. Snow Camp
Joe Thierfelder Jumps So. Gastonia
Hannah Bernard Distance Fr. Mountain Brook, Ala.
Gillian Brown Hurdles/jumps Jr. Jacksonville
Allyson Craven Distance Jr. Winston-Salem
Bri Crisci Distance Fr. Augusta, Maine
Gabry Faraj-Musleh Distance So. Ann Arbor, Mich.
Elena Fea Distance Fr. Iron Station
Kaitlin Howard Distance Fr. Middletown, N.J.
JoJo Lind Throws Sr. St. Augustine, Fla.
Saralee Martelly Hurdles/jumps Fr. Uniondale, N.Y.
Brianna Mosby Jumps So. Santa Maria, Cal.
Leondra Pridgen Hurdles/jumps Jr. Mooresville
Meisha Quarterman Sprints/jumps Jr. Midway, Ga.
Lucy Schmitz Distance Fr. Forestville, Wis.
Lauren Smith Sprints/jumps Jr. Charleston, S.C.
Kelsey Temple Distance Fr. Outer Banks
Head coach: Mike De Witt


text:
Starmark Vacation Homes
Starmark Vacation Homes
Find your perfect Orlando Vacation Rental
With over 1,500 Orlando Vacation Homes in our collection,Starmark Vacation Homes makes it easy for you to find the perfect Orlando Vacation Rental for your next Disney Florida Vacation. Choose from 3 to 6 bedrooms homes, some with private pools and spas. All Orlando vacation rentals are fully furnished and include the convenience of a fully equipped kitchen. And best of all, our Disney vacation rentals homes are located just minutes away from Disneyworld, Sea World, Universal Studios and most of the other Orlando s area attractions.
Starmark Vacation Homes has the perfect Orlando vacation rental for any type of budget! You can choose from a great selection of Orlando, Kissimmee, and Davenport Vacation rentals close to all the Orlando theme parks, shopping, dining, golf and other local attractions! Our Gold Star Orlando vacation rentals offer more space, more amenities, and upgraded interior elements. Furnishings and finishes have been tastefully chosen providing a modern, comfortable feel.
If your family is on a budget, take a look to our Silver Star Vacation Condos, Villas and Orlando Vacation Rentals. Enjoy your very own private screened in pool, a fully equipped kitchen, a spacious living and dining area, comfy beds and more. With ourSilver Star Orlando vacation rentals you will receive so much more then any Orlando hotels can offer and at a fantastic value price. For those that want it all our collection of Platinum Star Vacation Rentals include our finest properties, with all the bells and whistles that you would find in an exclusive luxury vacation rental home. Available to guests with discerning tastes, these distinctive private residences offer a variety of amenities such as fully equipped gourmet kitchens, state-of-the-art home theater systems, swimming pools with private hot tubs, game rooms, plush bedding, granite counter tops, free WiFi and more.
Starmark Vacation Homes features the best quality and price in the Orlando/Kissimmee Vacation Rental Markets. Orlando Vacation Rental Properties are a great choice for families, groups, leisure, and business travelers with many locations that are close to attractions, shopping and restaurants.
Staying in Orlando vacation rental home couldn t be easier!
3 different categories of vacation rentals you can choose from
All our vacation rentals are fully equipped and furnished
We can accommodate from 2 to 14 guests traveling together
Our Orlando rentals are all located just minutes away from Orlando s main attractions
Our guest services team will help make your stay special
All of our homes are inspected prior to arrival by our Quality Control Team to insure that you have a great stay!
Visit our website, www.StarmarkVacationHomes.com, today and browse our homes online. Or give us a call at 863.588.4600. We have reservationists standing by, ready to help you find you home away from home in Orlando's attraction area.
Thanks for your interest, and we'll see you at home!