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Circulation. 2009;119:1161-1175
doi: 10.1161/CIRCULATIONAHA.109.191856
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(Circulation. 2009;119:1161-1175.)
© 2009 American Heart Association, Inc.


AHA Scientific Statement

Implementing American Heart Association Pediatric and Adult Nutrition Guidelines

A Scientific Statement From the American Heart Association Nutrition Committee of the Council on Nutrition, Physical Activity and Metabolism, Council on Cardiovascular Disease in the Young, Council on Arteriosclerosis, Thrombosis and Vascular Biology, Council on Cardiovascular Nursing, Council on Epidemiology and Prevention, and Council for High Blood Pressure Research

Samuel S. Gidding, MD, FAHA, Chair; Alice H. Lichtenstein, DSc, FAHA, Co-Chair; Myles S. Faith, PhD; Allison Karpyn, PhD; Julie A. Mennella, PhD; Barry Popkin, PhD; Jonelle Rowe, MD; Linda Van Horn, PhD, RD; Laurie Whitsel, PhD


Key Words: AHA Scientific Statments • lifestyle • diet • nutrition • obesity • prevention


*    Introduction
up arrowTop
*Introduction
down arrowCurrent AHA Dietary Guidelines
down arrowCurrent US Diet and...
down arrowTaste Preferences
down arrowIndividual- and Family-Based...
down arrowCommunity-Based Interventions
down arrowCommunity Food Access
down arrowSummary and Recommendations
down arrowReferences
 
Cardiovascular disease mortality rates have fallen by {approx}50% over the past 50 to 60 years. However, cardiovascular disease prevalence remains high, and cardiovascular disease is still the leading cause of death and disability in the United States.1,2 It has been estimated that preventive efforts have contributed to at least half of this decline, with the primary contribution coming from declines in mean blood cholesterol concentrations, mean blood pressure levels, and tobacco use rates. Regrettably, during this past decade, the increased prevalence of obesity and diabetes mellitus has dramatically slowed the secular decline in cardiovascular mortality rates.1,3,4 In fact, in the United States, the contribution of prevention to the decline of cardiovascular mortality is now much lower than in other industrialized countries and the United States historically.1,5

The continuing challenge is preventing the development of cardiovascular disease, especially early in life. Nutrition remains a cornerstone of that effort. Modernization and industrialization of the food supply and distribution patterns, as with our lifestyles, have produced many benefits but also unanticipated consequences.6 Decline in saturated fat and cholesterol intake, influenced by public awareness of adverse health consequences, coupled with increased availability of foods lower in cholesterol and saturated fat, has been associated with reductions in cardiovascular disease. However, recent studies of trends in the dietary patterns of the United States suggest a significant drift toward less healthful eating patterns and overconsumption of energy, which have been associated with increases in prevalence of obesity, metabolic syndrome, and type 2 diabetes mellitus.1–4 These data strongly suggest that additional emphasis is needed on ways to implement current guidelines in contemporary society. A great benefit can be achieved from adopting a heart-healthy nutrition pattern at a young age, thereby preventing the rise in cholesterol and blood pressure levels associated with excess saturated fat, trans fat, and salt ingestion; minimizing the development of obesity; and establishing lifelong dietary habits.7,8

Current American Heart Association (AHA) diet and lifestyle recommendations for both children and adults emphasize these goals: aim for a healthy body weight and recommended levels of blood lipids and lipoprotein, blood pressure, and glucose; engage in regular physical activity; avoid use of and exposure to tobacco products; and consume diets rich in vegetables and fruits, whole grains, low-fat and nonfat dairy products, legumes, fish (at least 2 times per week), and lean meat, coupled with food choices that minimize intakes of excess energy, saturated fat, trans fat, cholesterol, and salt.9,10 The importance of focusing on the overall diet quality (dietary pattern) rather than individual foods or nutrients, balancing energy intake and expenditure, engaging in regular physical activity, and increasing the importance of following the AHA diet recommendations when eating outside the home is emphasized. Both pediatric and adult recommendations follow these guiding principles throughout the lifespan. Lacking but badly needed are more specific guidelines on how best to implement these recommendations.

The purpose of this scientific statement is to summarize current strategies on how to implement AHA nutrition recommendations for cardiovascular disease and stroke prevention throughout the life cycle, as well as providing suggestions and practical examples for strengthening these efforts. A similar approach has been developed recently for obesity.11 Emphasized is the importance of a healthful overall dietary pattern within the complex nutrition environment of contemporary life. The Figure, adapted from several sources, presents a conceptual model for this complex environment and identifies facilitators or barriers to attaining AHA diet and lifestyle recommendations. The Figure shows nested concentric circles beginning at the individual level and working out toward the macroenvironmental level.12–16 Each level offers a potential avenue for change, for helping individuals, families, and communities achieve AHA diet and lifestyle recommendations. It provides a framework for understanding the complexity of nutrition choices, organizing the existing literature on nutrition, and interpreting future research and its impact. This report follows the approach suggested by the Figure and developed in a recent AHA statement on obesity in developing an implementation argument.11 Because of the broad nature of the topic, this report is meant to suggest new approaches to implementing a healthful diet within the context of contemporary eating patterns rather than developing new specific nutrition recommendations.


Figure 1191856
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Figure. Concentric circles of influence on eating behaviors.11–16 The individual level refers to biological, genetic, demographic, and learning history influences within any person. The individual level is nested within the family environment, which includes influences such as role modeling, feeding styles, provision and availability of foods, and other aspects of the home food environment. The third level, the microenvironmental level, refers to the local environment or community in which the family and home are immediately nested. This includes local schools, playgrounds, walking areas, and shopping markets that enable or impede healthful eating behaviors. Level 4 is the macroenvironmental level. This level refers to broader economic policies, laws, and industry policies that operate at the regional, state, national, and international levels. The influence of level 4 factors can be pervasive and project down to individual choices. The model recognizes the importance of both the nesting of levels within one another and reciprocal influences among levels.


*    Current AHA Dietary Guidelines
up arrowTop
up arrowIntroduction
*Current AHA Dietary Guidelines
down arrowCurrent US Diet and...
down arrowTaste Preferences
down arrowIndividual- and Family-Based...
down arrowCommunity-Based Interventions
down arrowCommunity Food Access
down arrowSummary and Recommendations
down arrowReferences
 
Tables 1 through 5DownDownDownDown summarize the current AHA dietary recommendations for children, adolescents, and adults and strategies for implementation.9,10 For adults, the emphasis is on dietary management to achieve optimal lipid and lipoprotein profiles, blood pressure and blood glucose levels, and body weight. In addition, the importance of engaging in regular physical activity and avoidance of the use of and exposure to tobacco products are emphasized (Table 1 and 2Down). For children >2 years of age, the emphasis is on a dietary pattern that meets nutrition requirements for growth and development while minimizing the development of cardiovascular risk factors, primarily high blood cholesterol, blood pressure and glucose levels, and excessive body weight gain (Table 4). At birth, breast-feeding is strongly recommended for all infants. Then, at all ages, adequate caloric intake is emphasized to maintain appropriate growth and development while minimizing excess weight gain. Individuals with diagnosed risk factors require therapeutic lifestyle changes that address those risk factors that are often multifactorial and beyond the scope of the present statement.17,18


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Table 1. AHA 2006 Diet and Lifestyle Goals for Cardiovascular Disease Risk Reduction


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Table 2. AHA 2006 Diet and Lifestyle Recommendations for Cardiovascular Disease Risk Reduction


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Table 3. Practical Tips to Implement AHA 2006 Diet and Lifestyle Recommendations Lifestyle


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Table 4. AHA Pediatric Dietary Strategies for Individuals >2 Years of Age: Recommendations to All Patients and Families


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Table 5. Tips for Parents to Implement AHA Pediatric Dietary Guidelines

To achieve dietary goals, the AHA recommends consumption of an overall diet rich in a wide variety of fruits and vegetables, grain products (especially whole grains), fat-free and low-fat dairy products, legumes, poultry and lean meats, and fish, preferably oily fish, at least twice a week (Tables 3 and 4Up). The aim should be for a moderate fat intake (25% to 35% of energy), with primary sources of added fats coming from vegetable oils such as soybean, canola, corn, olive, sunflower, and safflower oils. Within each category, choices should minimize the intake of excess calories, saturated and hydrogenated (trans fatty acids) fats, cholesterol, salt, and sugar. An emerging area of research, useful to help better understand the importance of a comprehensive approach to diet, is analysis of overall dietary patterns (as opposed to studies of individual foods or nutrients) and the association of these patterns with chronic disease risk.19,20


*    Current US Diet and Eating Patterns
up arrowTop
up arrowIntroduction
up arrowCurrent AHA Dietary Guidelines
*Current US Diet and...
down arrowTaste Preferences
down arrowIndividual- and Family-Based...
down arrowCommunity-Based Interventions
down arrowCommunity Food Access
down arrowSummary and Recommendations
down arrowReferences
 
Data on US eating patterns were previously monitored by the US Department of Agriculture (USDA) and are now collected by the National Center for Health Statistics as part of the joint nutrition monitoring system. The USDA Nutrition Monitoring System focused on dietary intake and assessed detailed measures of eating behavior over longer periods of time. Surveys were performed in 1965, in 1977 to 1978, in 1989 to 1991, and for the last time in 1994 to 1998. The National Center for Health Statistics began the National Health and Nutrition Examination Survey using 24-hour dietary recalls. This survey is called "What We Eat in America."21–24 Methodological differences among these surveys include major differences in the number of passes and approaches to questioning respondents, different coding of foods, shifting sources for food composition tables, and lack of a bridging methodology between the USDA and National Center for Health Statistics surveys. These problems have been partially overcome.25 Another important limitation of the data presented in this section is that trends in eating behavior over the last 5 years have not been published.

Available data suggest that recommended intake of fruits and vegetables is not being achieved and that fluid milk and whole grains as a percent of energy intake are decreased. Dietary fiber intake is below recommended levels for all age groups.26 Caloric intake has increased, consistent with increased body weight, in the US population.27 These trends are seen across all age groups, including infants and toddlers, in whom there are significant increases in consumption of sugar-containing beverages.28–30 For adolescents and young adults, it is important to note that the increased intake of snack foods and sugar-sweetened beverages (in place of milk) may be compromising overall nutritional diet quality.31

Equally important are the dietary patterns supporting these trends (Table 6). They include the following dimensions of eating behavior: increased number of eating events per day (snacks), larger portion sizes, greater proportion of food consumed away from home, higher energy intakes on weekend days (Friday through Sunday), and higher consumption of sugar-sweetened beverages.32–39 Table 6 also includes strategies that should be empirically evaluated.


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Table 6. Caloric Intake and Nutrient Quality

Snacks, defined as eating at times other than traditional mealtimes, now represent {approx}21% to 25% of total caloric intake, increased from 18% over the last several decades.32–34 This is of particular note because the energy density of snack foods has increased over this time period, whereas the energy density of meals has not. The most common snacks are sugar-sweetened beverages and salty prepared foods such as chips that are low in nutrient density. In studies of smaller populations of elementary students, trends toward increased snacking have been observed despite participation in a high-quality dietary intervention program, suggesting that altering snacking behavior will be difficult.40

Over the past 20 years, there has been a substantial shift in eating location, with a significant decline in meals eaten at home and increase in meals eaten at restaurants and fast-food establishments, particularly among younger individuals.37 This has been associated with a shift in foods consumed, with significant increases in sugar-sweetened beverages, fruit juice, french fries, pizza, and salty snacks with declines in reduced-fat and whole milk.

Shifts in patterns of beverage intake have contributed to the doubling of per capita intake of beverage calories for adults since 1965. Soda and fruit drinks accounted for 70% of the increase in caloric intake.29,30 There has been a significant rise in the use of low-fat presweetened dairy drinks over the same interval; however, dairy drink consumption overall has fallen. Similar changes are seen in children and adolescents, with recent data suggesting continuing increases in sugar-sweetened beverage intake, with 10% to 15% of caloric intake from this source.41 The impact of dairy and other additives to coffee/tea drinks is difficult to analyze but may be another source of increased caloric intake. A component of the increase in caloric intake related to beverages may be the lower relative satiety of beverages compared with solid foods.42–45

With respect to specific eating patterns, there is consistent evidence that eating breakfast, including consumption of high-fiber ready-to-eat cereals and milk, is associated with improved overall nutrition and weight maintenance.46–49 Families that regularly consume dinners together generally have healthier diet patterns, but it is not clear from these studies whether this is secondary to better family knowledge.50 At least 1 large-scale prospective study of adolescents concluded that the frequency of eating family dinner was inversely associated with overweight prevalence at baseline but did not predict the likelihood of becoming overweight.51

For very young infants, up to 4 to 6 months of age, most daily energy intake is obtained from milk, either breast milk or formula. After that, a transition to solid food starts that continues throughout the second year as the child moves from milk feeding to baby foods and then to adult foods. A nationally representative study of infants, with data derived from a study based on telephone interviews and 24-hour dietary recalls, found that >20% of infants and toddlers did not consume 1 fruit or vegetable in a given day.28 In contrast, >60% of infants 6 to 11 months and 80% between 12 and 24 months had at least 1 fruit drink a day. By 2 years of age, parents reported that 10% of total energy came from sugar-sweetened beverages other than fruit juice. French fries were the most common vegetable consumed, and none of the top 5 vegetables consumed by those <2 years of age was a green leafy vegetable. The frequency of consumption of nutrient-poor, energy-dense snacks increases with age.52,53


*    Taste Preferences
up arrowTop
up arrowIntroduction
up arrowCurrent AHA Dietary Guidelines
up arrowCurrent US Diet and...
*Taste Preferences
down arrowIndividual- and Family-Based...
down arrowCommunity-Based Interventions
down arrowCommunity Food Access
down arrowSummary and Recommendations
down arrowReferences
 
It is important to understand the development of taste preferences when devising strategies to improve the overall quality of the diet. At the individual level, taste preference is critical to food choice. The basic biology of human sensory systems determines the sensory impressions of foods and beverages. Flavor experienced from food or drink consumption is a product of several sensory systems, most notably those of taste, smell, and irritation (eg, coolness of mint, burn of chili peppers). When foods or liquids are taken into the mouth, the perceptions that arise through the senses of taste and smell combine to determine flavor.54 Not only is the ability to detect tastes and flavors well developed before birth, but infants start learning about these flavors before their first tastes of foods because the flavors of the foods eaten by mothers during pregnancy and lactation are transmitted and flavor amniotic fluid and mothers’ milk, respectively.55,56

Responses to sweet, salt, and bitter tastes have evolved because of their functional importance in nutrient selection, especially in children whose responses to salt and sweet are heightened. Salt is a signal for nutrients such as sodium that often accompany other minerals in food. Sufficient salt intake protects against dehydration. Bitterness protects against foods that might be poisonous. Preferences for bitter foods (eg, dark green vegetables) and beverages (eg, coffee) are largely learned. Saltiness antagonizes bitter and thus improves palatability of useful foods with bitter or irritating taste.57 The sensation of optimum saltiness can be influenced by an individual’s salt status and dietary level of exposure.58,59

Children have an innate preference for sweet and, as a group, prefer a 0.60-mol/L sucrose concentration. Not only do children like sweets, but sweets make them feel better. When they taste something sweet, it reduces pain.60,61 By late adolescence, sweet preferences decline to {approx}0.3 mol/L sucrose. Findings from the USDA 1994 to 1996 Continuing Survey of Food Intakes62 paralleled the findings from basic research of an age-related decline in sweet concentration preferences. That is, in cross-sectional data, the proportion of energy obtained from added sweeteners peaks in adolescents, with {approx}20% of energy derived from added sugars, and declines to {approx}12.4% of energy for those ≥65 years of age. Longitudinal data suggest that consumption of foods with added sugar has increased over time.63 There are striking individual and group differences in the levels of sweetness preferred. For example, across all age groups, blacks and non-Hispanics prefer significantly higher levels of sweetness than whites.64,65

Because taste preferences drive food choice, an understanding of the source of taste preferences can suggest strategies for dietary change. Lactating mothers can influence taste preference in their infants by consuming fruits and vegetables, transmitting these flavors to the child.55,56,66 Repeated offerings of healthy foods may increase acceptance. Memories of taste, flavor, and smell carry emotional content derived from culture, rewards, and pleasurable past experience that influences food choice; thus, early exposure to healthy foods may influence preference.67 Although trying to limit sweet and salty food and beverage consumption is critical in reversing the obesity epidemic, this task will be difficult because of the inherent hedonic value of these tastes. These products are popular because they have undergone rigorous taste preference testing before release, correspond to natural taste preferences, and are heavily marketed. These observations provide the rationale for nutrition marketing to counter industry marketing concerning the pleasurable or normative quality of unhealthy foods.


*    Individual- and Family-Based Interventions to Improve Cardiovascular Health
up arrowTop
up arrowIntroduction
up arrowCurrent AHA Dietary Guidelines
up arrowCurrent US Diet and...
up arrowTaste Preferences
*Individual- and Family-Based...
down arrowCommunity-Based Interventions
down arrowCommunity Food Access
down arrowSummary and Recommendations
down arrowReferences
 
There is substantial evidence for the usefulness of dietary interventions to improve blood pressure and lipoprotein profiles.17,18 However, meeting these objectives in clinical practice is challenging. Two recent reviews of the obesity intervention literature have concluded that at present there is no significant evidence for the efficacy of current strategies in children.68,69 Current Canadian clinical practice guidelines concluded that the evidence for recommending diet intervention for obesity is excellent but the evidence for efficacy of specific strategies is generally lacking and based largely on consensus.70 In general, qualitative and meta-analytic data from family-based weight loss approaches for pediatric obesity as administered by trained behavioral therapists in university-based settings show a significant reduction of excess body weight compared with wait-listed controls or those with simple nutrition education.71,72 In contrast, there is little evidence to support the general efficacy of information-based strategies to cause weight loss in obese children.73 The challenge to the medical community is making the former efficacious programs more cost effective and available beyond the current settings.

Approaches to Implementation of Effective Diet Counseling
Diet counseling has historically been information based, more like teaching than counseling, with physicians and nutritionists providing factual information. The underlying assumption is that simply by learning the facts, patients and clients will change behavior. There are significant limitations to this strategy. First, counseling may not include an assessment of the patient’s interest in making dietary change. Second, primary care providers have a notoriously low estimate of self-efficacy with regard to nutrition counseling. Third, providers are unwilling to confront patients with regard to weight issues. Finally, time constraints and restrictions on reimbursement impose important limitations on traditional medical office visits. Written material is often provided, but these materials may not be easily adapted by patients to their specific circumstances. The patient’s literacy level may be too low to comprehend the material. The family’s eating pattern, determined by diverse economic and social factors, may not easily adapt to the recommended changes. Easy access to recommended foods may not exist.

A listing of many common barriers to implementing nutrition advice is provided in Table 7. In many settings, it may be more useful to identify barriers and then help families overcome them, if possible, before providing specific advice on dietary pattern. These barriers limit parents’ ability to act as role models for their children.


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Table 7. Assess for Barriers to Families Implementing Nutrition Advice

Improved outcomes to any intervention approach may be obtained by the use of general principles of behavior change theory, that is, by intervening at levels 1 and 2 of the Figure simultaneously.74 The following discussion provides a summary of the sequential steps, which are summarized in Table 8. First, an assessment of readiness to change, a critical component of an intervention to change behavior, needs to occur. Concomitant with that assessment is the need for a self-evaluation by the patient of the behavior(s) targeted for change, which happens through, self-monitoring or keeping records over multiple days. The patient gets ready to make the change by understanding how frequently he or she does the targeted behavior. Second, goals are established for changing the target behavior over a defined period of time (eg, 1 week). Goals should be realistic, should be agreed on by the patient, and should allow success. Third, the goal is attempted while the patient monitors the target behavior. Continued monitoring is critical for behavior change. Finally, there is a repeat self-evaluation with goal review and reinforcement and adjustments up or down in goal setting, depending on the patient’s success in meeting prior goals. Effective counseling should generally reward behaviors that are considered satisfactory and ignore behaviors that are unsatisfactory. Critical to success is helping the patient maintain favorable self-esteem. A thorough review of behaviors useful in targeting in obesity management has been published.73 Some examples are provided in Table 9.


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Table 8. Implementing Behavior Change Principles Into Clinical Practice


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Table 9. Examples of Eating Behaviors to Target in Counseling

An important question for promoting behavior change is the extent to which individuals and families are motivated and ready to change. Motivational interviewing is a series of clinical assessment strategies stemming from the drug and addiction field but more recently extended to the field of nutrition and pediatric weight control.75 Those who do not perceive a problem or are too overwhelmed with other life challenges may not be receptive to prescriptions for dietary behavior change. The overarching aim of motivational interviewing is to help set the stage for behavior in individuals who are defensive or resistant to change by avoiding active prescriptions for behavior change or authoritatively telling patients what to do. Motivational interviewing uses strategies such as open-ended questions, reflective listening, rephrasing of statements, and identification of discrepant beliefs to raise motivation level. Motivational interviewing may help to ease the frustrations or power struggles between health professionals and patients and is an important area for future research.


*    Community-Based Interventions
up arrowTop
up arrowIntroduction
up arrowCurrent AHA Dietary Guidelines
up arrowCurrent US Diet and...
up arrowTaste Preferences
up arrowIndividual- and Family-Based...
*Community-Based Interventions
down arrowCommunity Food Access
down arrowSummary and Recommendations
down arrowReferences
 
Critical to community-based nutrition intervention will be access to healthier foods and the successful delivery of healthy nutrition messages that influence food choice. A large array of conflicting information about food and nutrition reaches the public, often with poorly documented claims and messages opposed to current diet recommendations.76 Regulations on food marketing affect only health claims, allowing food and beverage marketers to make allusions to health without providing evidence. Many of these messages are directed at children who are unable to judge the merit of such advertising.76,77 Consumers need reliable information on portion size, the caloric content of food, and the nutrient content of food to make choices.78 This is particularly true for low–socioeconomic status groups at which unhealthy food marketing is often targeted and in which a prevalence of obesity is high.

Many studies addressing policy and environment have been conducted in schools; many of them have been reviewed in an AHA statement.79 A smaller number of interventions have been nutrition interventions in communities or the workplace. Little research has been performed on community-based interventions to alter adult or elderly eating patterns; these studies have generally not been successful.13 Therefore, a significant limitation of this discussion is inadequate research in populations other than school-aged children on community-based interventions; conversely, there has been limited evaluation of and inadequate dissemination of information on those community-based interventions that have been attempted in scientific or other types of professional literature.80 Another limitation is that for many community-based interventions, measurement of health outcomes is difficult because of impracticality or insufficient resources to make measurements.81 Newer research is starting to overcome these barriers; an example is the National Cancer Institute Black Churches Initiative.82

Research in Schools and Other Influences on Children’s Eating Behavior
Although some school-based programs have had favorable effects on body mass index (BMI),83–87 several have not.88–90 Where findings show minimal effects, interventions may suffer from insufficient doses, barriers to effective implementation, and the inability to effectively target children at highest risk; in addition, the behaviors targeted by interventions may not relate directly to body weight or other cardiovascular risk factors. In general, these programs have produced modest and only short-term reductions ({approx}5%) in percentage overweight.88,91–96 Several school-based programs have attempted to improve cardiovascular disease risk factors in grade school children.89,90,97–101 Other studies have investigated the impact of such initiatives on BMI.83,84,86,102 To date, the results of these studies are mixed. Findings across interventions suggest that those that adopt a multifaceted integrated approach, ie, those that intervene in many components of the school environment simultaneously, are more likely to be successful.83,84,86,102

Arkansas was the first state to implement BMI screening in schools. The Arkansas Center for Health Improvement, an independent entity, developed and validated a BMI measurement protocol, trained school staff on conducting BMI assessments, created a secure BMI database, and disseminated individual and confidential child health reports to parents.103 Other states either have enacted similar legislation or have legislation or regulation under discussion. These programs are highly controversial; the Centers for Disease Control and Prevention, Institute of Medicine, and US Preventive Services Task Force have all published opinions on the issue, including recommendations on BMI screening in schools.104 The efficacy of BMI screening may be difficult to assess. In Arkansas and Pennsylvania, screening was only part of a more comprehensive intervention that included increased access to healthier foods and physical activity initiatives. Although the Arkansas initiative met with early success, parents have raised concerns about labeling children as obese, and healthcare providers are concerned about the absence of effective treatments for identified children.

In the last few years, strengthening nutrition standards for foods sold in schools has been undertaken. The Institute of Medicine recently developed science-based nutrition standards for foods and beverages.105 Putting these standards into practice will require significant policy work at the state and federal levels, industry reformulation of products, and a willingness to adopt standards such as these by communities, local school boards, school administrators, and staff. Substantial resistance to implementing the Institute of Medicine guidelines has emerged from sectors of industry, with legislation at the federal or state level preempting stricter standards in smaller jurisdictions. In 2006, the Alliance for a Healthier Generation (a partnership between the AHA and the William J. Clinton Foundation) negotiated with industry to establish voluntary nutrition standards for foods and beverages in schools. Annual assessment of this voluntary agreement will reveal the degree to which industry is implementing these standards and the extent to which schools are complying across the country. Careful research is needed to assess the impact of these programs on overall health.

The Child Nutrition and WIC [Women, Infants, and Children] Reauthorization Act of 2004 required schools to develop policies around nutrition education, physical activity, and overall school wellness and outline an implementation plan for these policies. The law required parents, students, school food service staff, school administrators, and members of local school boards to participate in the process through school wellness councils. School wellness councils or school health advisory councils are critical in creating a coordinated approach to a healthy school environment and are a leading factor in creating effective policies and maximal implementation.106 To maximize the efficacy of school wellness policies, future reauthorizations of this federal legislation should address the transparency of the policies, quality of the wellness policies, periodic assessment of implementation and accountability for implementation, improved technical assistance, more permanent wellness committees within schools and districts, and additional outcomes research on the efficacy of wellness policy implementation.

Examples of other current initiatives to improve school foods include the following: farm-to-school programs (partnerships between schools and local farms), school garden programs, the Fruit and Vegetable Program authorized by the Farm Bill (recently expanded in new legislation), and school wellness policies. In this decade, some schools, school districts, and states have begun to make programmatic changes to reduce cardiovascular risk exposure, including reduction of poor-nutritional-quality foods in vending machines, reduction in presentation of deep-fried potatoes, increased recess, and creation of smoke-free environments.

However, it is important to keep in mind that not all foods and beverages consumed by children throughout the day are derived from school sources themselves.63 Concurrently, children and adolescents are influenced by food advertising and marketing strategies. Young people see >40 000 advertisements per year on television alone.78 They also are targeted by carefully crafted marketing tactics for unhealthy foods used in multiple environments such as the Internet, magazines, schools, product placement, incentive programs, video games, social networking sites, podcasts, and cell phones, all designed to improve brand recognition and increase sales.107,108 Children tend to spend their discretionary income on high-calorie, low-nutrient-dense foods, and advertising certainly leads them in this direction.109 Other research shows that exposure to food advertisements produced substantial and significant increases in energy intake in all children and that the increase was largest in obese children.110


*    Community Food Access
up arrowTop
up arrowIntroduction
up arrowCurrent AHA Dietary Guidelines
up arrowCurrent US Diet and...
up arrowTaste Preferences
up arrowIndividual- and Family-Based...
up arrowCommunity-Based Interventions
*Community Food Access
down arrowSummary and Recommendations
down arrowReferences
 
For people in disadvantaged areas, the grocery gap phenomenon can be traced back to the 1960s and 1970s when urban centers experienced population declines as residents fled inner cities for refuge in the suburbs. Among the factors that made the suburbs an attractive market were larger, less expensive tracts of land ready to be developed, simplified and business-friendly zoning and other regulations, more homogeneous consumer preferences, and less crime. Mirroring these demographic trends, supermarkets, along with other businesses, left urban areas. Studies to date demonstrate that lack of access to supermarkets is negatively associated with low-income residents’ health and economic well-being.111 Residents have to travel out of their neighborhoods to purchase food or shop at smaller corner and convenience stores that generally have lower-quality and limited fresh or frozen, heart-healthy food choices.111–116 These stores also tend to charge substantially higher prices.117–119 Although low-income households spend less money on food, a greater proportion of their income is spent on food.120 Programs such as the Fresh Food Financing Initiative in Pennsylvania is an example of a program to bridge access gaps by providing funds to operators locating in underserved neighborhoods.121

Interventions at community corner stores are a relatively new mechanism to affect dietary intake in communities.122 Programs typically include 1 or several components ranging from infrastructure changes (eg, the addition of refrigeration) to the use of social marketing. Current data suggest that these types of interventions hold promise for shifting shopping habits and knowledge.123 A recent study demonstrated that proximity to a corner store selling healthy food was a positive predictor of fruit and vegetable intake.80

The USDA, state governments, healthcare institutions, and not-for-profit groups have recently encouraged the establishment of farmers’ markets in communities with otherwise little access to healthy food.81,124 Little research exists to date on the impacts of such markets on community health. Programs that support local agriculture such as the Farmers’ Market Nutrition Education Program and WIC Farmers’ Market Programs offer the dual benefit of increasing consumption of fruits and vegetables while supporting farmers who grow them.125,126

With the number of meals people eat outside of the home increasing, consumers should have adequate information at point of purchase to make healthful choices in restaurants. Caloric intake is often underestimated in these settings.127 For consumers to make healthier food choices in restaurants, they need accurate, sufficient information provided in a usable format at the point of service. Three municipalities—New York, NY; King County (Seattle, Wash), Washington (DC), and San Francisco (Calif) city and county—have passed menu-labeling legislation.

Workplace Interventions
Changing nutrition at work sites or at point of food purchase has received less attention. Interventions that have shown some success encourage purchase of healthier foods through price subsidies, adjusting prices so that healthy foods cost less.13 The few studies that have examined strategies manipulating the ease at which food is accessed (changing food availability in vending machines, assessing food availability in local groceries) have not shown substantial efficacy. Effective and rigorously tested program evaluation tools have begun to identify the best practices, including those that pertain to program design and implementation. Programs have considered mechanisms for disseminating nutrition education and offering employee support for changes. Results suggest that online and Web-based programs were more effective than print materials, and long-term and interactive intervention efforts were proven to have more sustainable outcomes than 1-time, temporary, and passive efforts (ie, kickoffs and pamphlets).124–126 An additional benefit to workplace intervention might be cost savings for health expenses, but providing proof is challenging. Challenges to workplace interventions are listed in Table 10.127 Currently, there is insufficient evidence detailing the aspects of successful workplace nutrition interventions, including biological measures of outcome, although tools like education or labeling programs seem promising.128,129


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Table 10. Challenges to Research on Workplace Interventions

An additional strategy to enhance community awareness is identifying the most appropriate individuals, beyond physicians, nurses, and dietitians, to carry the nutrition message. Focus group and training experiences from a federally funded program (http://www.womenshealth.go/bodyworks/) have shown that the characteristics that make good trainers are strong motivation, connection to the community, and previous experience teaching adult groups. Trainers know their audience and the barriers the audience faces in implementing recommendations. They may also be able to identify community members most receptive to intervention. Trainers should learn basic nutrition, interpretation of the food label, portion size, recommendations for physical activity, principles of behavior change, and how to encourage self-efficacy. These individuals may be recruited from such places as community health clinics, WIC programs, health departments, hospitals, and community organizations. Community-based intervention programs will require a combination of local financial support, grass roots improvisation to sustain community interest, and external educational support of trainers to sustain effective efforts. These individuals may be best suited to carry the healthy nutrition message into areas where conventional efforts have failed.

Finally, at the macroeconomic level, increasing attention has been paid to the relationship between the growth, regulation, and subsidization of the agriculture and the food industries.6,12 Historically, the presence of a stable food supply was a vital social consideration and economic resource. Improvements in the ability to store and transport food have led to extraordinary reductions in food cost and increased convenience, ie, the ease with which food can be prepared (or have prepared outside the home) and consumed. This agricultural efficiency has been vital to the growth of the industrial and postindustrial economies. Food production has been driven largely by consumer preferences that, in turn, were driven by taste, cost, and convenience. The importance of nutrition in chronic disease (as opposed to infectious diseases) is a relatively new influence on consumer choice and has created a significant disjunction between capitalist economic forces driving the growth of the US food industry and nutritional needs of the population. This disjunction has been further abetted by the consolidation of economic control of the US food supply into fewer and fewer corporations that thus have greater opportunity to influence food choice through the media and other mechanisms.


*    Summary and Recommendations
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up arrowTaste Preferences
up arrowIndividual- and Family-Based...
up arrowCommunity-Based Interventions
up arrowCommunity Food Access
*Summary and Recommendations
down arrowReferences
 
Approaches to Implementation of Dietary Advice Are Needed
For encounters between healthcare providers and clients/patients, levels 1 and 2 of the Figure, providers should learn behavior change and motivational interviewing strategies; these strategies should be incorporated into educational programs for physicians, nurses, and dietitians. Efficacy of referrals from physicians to dietitians or other ancillary healthcare personnel must be evaluated. Healthcare professionals must develop evaluation tools that increase sensitivity to clients’ readiness to change eating behaviors, literacy level, ethnic preferences, and social constraints that affect dietary patterns.130,131 It may be more important to focus on barriers to implementation before providing specific nutrition counseling. When time constraints are present in office encounters, healthcare providers should deliver simple positive messages directed at the major causes of poor nutrition. Examples include eating breakfast; eating fruits, vegetables, and whole grains; limiting intake of sugar-containing beverages to <12 oz/d; limiting snacks to once a day; eating smaller portions; weighing regularly; and adjusting dietary intake based on weight.

For level 3 of the Figure, we propose 5 community-based implementation strategies that should be evaluated for efficacy (Table 11). Create a healthy food environment means serving items of high food quality in schools and at work places. Collaboration with the various components of industry responsible for the food supply will be critical to achieving this goal. Subsidize AHA-recommended food choices means creating financial and other incentives for consumers to purchase and food producers to generate nutritious foods. Market nutrition means using media to counterbalance unhealthy food messages. Empower consumers means providing more comprehensive labeling of food and portion size. Train professionals in nutrition means improving the skill level of healthcare practitioners commonly consulted for nutrition advice and enlarging the pool of individuals qualified to provide nutrition advice. The net result of these strategies is to produce a food- and nutrition- literate society. For families, Table 12 provides ways for parents to make their home and food environment more nutritionally healthy.


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Table 11. Global Strategies to Implement AHA Nutrition Guidelines


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Table 12. Examples of Strategies That Families Can Use to Create Healthy Food Environments: Implementation at Levels 2 and 3 of the Figure

At the macroeconomic level (level 4), the 5 principles described above can inspire governmental policy, industry, foundations, and voluntary agencies to influence social change. A strong advocacy agenda is being formulated around the country to implement these principles. The most effective strategies to curb the epidemic of tobacco use originated and were implemented, sometimes grudgingly, by these large social forces. Social intervention informed by outcomes research can drive effective public policy. Table 13 provides examples of policies that could be advocated to facilitate AHA guideline implementation.


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Table 13. Examples of Macroenvironmental Strategies to Make Implementation of AHA Guidelines Easier for Families: Implementation at Levels 3 and 4 of the Figure

Fundamental to implementation must be the recognition of the social and environmental context of eating.132 Strategies can no longer ignore the individual’s taste preferences, understanding of food and nutrition, familial eating patterns, social/economic constraints on food choice, ethnicity, and literacy. More research into making healthy foods more preferred is critical. Research designs must incorporate an understanding of these complex social processes; consideration must be given to how study end points fit into the complex social forces surrounding dietary patterns.12,13 More population-based research in the community at large and dietary patterns must be undertaken. The observed adverse trends in US eating patterns must be reversed. Consumption of sugar-containing beverages and salty snacks must be reduced, along with a reduction in portion size and, most likely, eating frequency. Better strategies allowing consumers to make healthier choices outside the home must be established. The next era in nutrition research will be defined by the degree of success in this endeavor.133


*    Acknowledgments
 
Disclosures

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Writing Group Disclosures


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Reviewer Disclosures


*    Footnotes
 
The American Heart Association makes every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest.

This statement was approved by the American Heart Association Science Advisory and Coordinating Committee on November 26, 2008. A copy of the statement is available at http://www.americanheart.org/presenter.jhtml?identifier=3003999 by selecting either the "topic list" link or the "chronological list" link (No. LS-1967). To purchase additional reprints, call 843-216-2533 or e-mail kelle.ramsay@wolterskluwer.com.

Expert peer review of AHA Scientific Statements is conducted at the AHA National Center. For more on AHA statements and guidelines development, visit http://www.americanheart.org/presenter.jhtml?identifier=3023366.

Permissions: Multiple copies, modification, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the American Heart Association. Instructions for obtaining permission are located at http://www.americanheart.org/presenter.jhtml? identifier=4431. A link to the "Permission Request Form" appears on the right side of the page.


*    References
up arrowTop
up arrowIntroduction
up arrowCurrent AHA Dietary Guidelines
up arrowCurrent US Diet and...
up arrowTaste Preferences
up arrowIndividual- and Family-Based...
up arrowCommunity-Based Interventions
up arrowCommunity Food Access
up arrowSummary and Recommendations
*References
 
1. Ford ES, Ajani UA, Croft JB, Critchley JA, Labarthe DR, Kottke TE, Giles WH, Capewell S. Explaining the decrease in U.S. deaths from coronary disease, 1980–2000. N Engl J Med. 2007; 356: 2388–2398.[Abstract/Free Full Text]

2. Rosamond W, Flegal K, Friday G, Furie K, Go A, Greenlund K, Haase N, Ho M, Howard V, Kissela B, Kittner S, Lloyd-Jones D, McDermott M, Meigs J, Moy C, Nichol G, O'Donnell CJ, Roger V, Rumsfeld J, Sorlie P, Steinberger J, Thom T, Wasserthiel-Smoller S, Hong Y, for the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics–2007 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2007; 115: e69–e171.[Free Full Text]

3. Ford ES, Capewell S. Coronary heart disease mortality among young adults in the U.S. from 1980 through 2002: concealed leveling of mortality rates. J Am Coll Cardiol. 2007; 50: 2128–2132.[Abstract/Free Full Text]

4. Olshansky SJ, Passaro DJ, Hershow RC, Layden J, Carnes BA, Brody J, Hayflick L, Butler RN, Allison DB, Ludwig DS. A potential decline in life expectancy in the United States in the 21st century. N Engl J Med. 2005; 352: 1138–1145.[Abstract/Free Full Text]

5. Schroeder SA. Shattuck Lecture: we can do better: improving the health of the American people. N Engl J Med. 2007; 357: 1221–1228.[Free Full Text]

6. Tillotson JE. America’s obesity: conflicting public policies, industrial economic development, and unintended human consequences. Annu Rev Nutr. 2004; 24: 617–643.[CrossRef][Medline] [Order article via Infotrieve]

7. Lloyd-Jones DM, Leip EP, Larson MG, D'Agostino RB, Beiser A, Wilson PW, Wolf PA, Levy D. Prediction of lifetime risk for cardiovascular disease by risk factor burden at 50 years of age. Circulation. 2006; 113: 791–798.[Abstract/Free Full Text]

8. McGill HC Jr, McMahan CA, Gidding SS. Preventing heart disease in the 21st century: implications of the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) study. Circulation. 2008; 117: 1216–1227.[Free Full Text]

9. Lichtenstein AH, Appel LJ, Brands M, Carnethon M, Daniels S, Franch HA, Franklin B, Kris-Etherton P, Harris WS, Howard B, Karanja N, Lefevre M, Rudel L, Sacks F, Van Horn L, Winston M, Wylie-Rosett J. Diet and lifestyle recommendations revision 2006: a scientific statement from the American Heart Association Nutrition Committee. Circulation. 2006; 114: 82–96.[Abstract/Free Full Text]

10. Gidding SS, Dennison BA, Birch LL, Daniels SR, Gilman MW, Lichtenstein AH, Rattay KT, Steinberger J, Stettler N, Van Horn L, for the American Heart Association, American Academy of Pediatrics. Dietary recommendations for children and adolescents: a guide for practitioners: consensus statement from the American Heart Association. Circulation. 2005; 112: 2061–2075.[Abstract/Free Full Text]

11. Kumanyika SK, Obarzanek E, Stettler N, Bell R, Field AE, Fortmann SP, Franklin BA, Gillman MW, Lewis CE, Poston WC 2nd, Stevens J, Hong Y, for the American Heart Association Council on Epidemiology and Prevention, Interdisciplinary Committee for Prevention. Population-based prevention of obesity: the need for comprehensive promotion of healthful eating, physical activity, and energy balance: a scientific statement from American Heart Association Council on Epidemiology and Prevention, Interdisciplinary Committee for Prevention (formerly the Expert Panel on Population and Prevention Science). Circulation. 2008; 118: 428–464.[Abstract/Free Full Text]

12. Glass TA, McAtee MJ. Behavioral science at the crossroads in public health: extending horizons, envisioning the future. Soc Sci Med. 2006; 62: 1650–1671.[CrossRef][Medline] [Order article via Infotrieve]

13. Faith MS, Fontaine KR, Baskin ML, Allison DB. Toward the reduction of population obesity: macrolevel environmental approaches to the problems of food, eating, and obesity. Psychol Bull. 2007; 133: 205–226.[CrossRef][Medline] [Order article via Infotrieve]

14. Kumanyika SK. Environmental influences on childhood obesity: ethnic and cultural influences in context. Physiol Behav. 2008; 94: 61–70.[CrossRef][Medline] [Order article via Infotrieve]

15. Swinburn B, Gill T, Kumanyika S. Obesity prevention: a proposed framework for translating evidence into action. Obes Rev. 2005; 6: 23–33.[CrossRef][Medline] [Order article via Infotrieve]

16. Story M, Kaphingst KM, Robinson-O'Brien R, Glanz K. Creating healthy food and eating environments: policy and environmental approaches. Annu Rev Public Health. 2008; 29: 253–272.[CrossRef][Medline] [Order article via Infotrieve]

17. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ, for the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure, National Heart, Lung, and Blood Institute; National High Blood Pressure Education Program Coordinating Committee. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003; 42: 1206–1252.[Abstract/Free Full Text]

18. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002; 106: 3143–3421.[Free Full Text]

19. Mikkila V, Rasanen L, Raitakari OT, Marniemi J, Pietinen P, Ronnemaa T, Viikari J. Major dietary patterns and cardiovascular risk factors from childhood to adulthood: the Cardiovascular Risk in Young Finns Study. Br J Nutr. 2007; 98: 218–225.[CrossRef][Medline] [Order article via Infotrieve]

20. Lockheart MS, Steffen LM, Rebnord HM, Fimreite RL, Ringstad J, Thelle DS, Pedersen JI, Jacobs DR Jr. Dietary patterns, food groups and myocardial infarction: a case-control study. Br J Nutr. 2007; 98: 380–387.[CrossRef][Medline] [Order article via Infotrieve]

21. Rizek R. The 1977-78 nationwide food consumption survey. Fam Econ Rev. 1978; 4: 3–7.[Medline] [Order article via Infotrieve]

22. National Research Council. National Survey Data on Food Consumption: Uses and Recommendations. Washington, DC: National Academy Press; 1984.

23. Plan and operation of the third National Health and Nutrition Examination Survey, 1988–1994: series 1: programs and collection procedures. Vital Health Stat 1. 1994: 1–4071.

24. Raper N, Perloff B, Ingwersen L. An overview of the USDA’s dietary intake data system. J Food Compos Anal. 2004; 17: 545–555.[CrossRef]

25. Popkin BM, Haines PS, Siega-Riz AM. Dietary patterns and trends in the United States: the UNC-CH approach. Appetite. 1999; 32: 8–14.[CrossRef][Medline] [Order article via Infotrieve]

26. Pereira MA, Ludwig DS. Dietary fiber and body-weight regulation: observations and mechanisms. Pediatr Clin North Am. 2001; 48: 969–980.[CrossRef][Medline] [Order article via Infotrieve]

27. 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. Am J Clin Nutr. 2000; 72: 929–936.[Abstract/Free Full Text]

28. Fox MK, Pac S, Devaney B, Jankowski L. Feeding Infants and Toddlers Study: what foods are infants and toddlers eating? J Am Diet Assoc. 2004; 104 (suppl 1): s22–s30.[Medline] [Order article via Infotrieve]

29. Nielsen SJ, Popkin BM. Changes in beverage intake between 1977 and 2001. Am J Prev Med. 2004; 27: 205–210.[CrossRef][Medline] [Order article via Infotrieve]

30. Duffey KJ, Popkin BM. Shifts in patterns and consumption of beverages between 1965 and 2002. Obesity (Silver Spring). 2007; 15: 2739–2747.[CrossRef][Medline] [Order article via Infotrieve]

31. Nicklas TA, Baranowski T, Cullen KW, Berenson G. Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001; 20: 599–608.[Abstract/Free Full Text]

32. Kerver JM, Yang EJ, Obayashi S, Bianchi L, Song WO. Meal and snack patterns are associated with dietary intake of energy and nutrients in US adults. J Am Diet Assoc. 2006; 106: 46–53.[CrossRef][Medline] [Order article via Infotrieve]

33. Rolls BJ, Roe LS, Kral TV, Meengs JS, Wall DE. Increasing the portion size of a packaged snack increases energy intake in men and women. Appetite. 2004; 42: 63–69.[CrossRef][Medline] [Order article via Infotrieve]

34. Zizza C, Siega-Riz AM, Popkin BM. Significant increase in young adults’ snacking between 1977–1978 and 1994–1996 represents a cause for concern! Prev Med. 2001; 32: 303–310.[CrossRef][Medline] [Order article via Infotrieve]

35. Nielsen SJ, Popkin BM. Patterns and trends in food portion sizes, 1977–1998. JAMA. 2003; 289: 450–453.[Abstract/Free Full Text]

36. Young LR, Nestle M. Expanding portion sizes in the US marketplace: implications for nutrition counseling. J Am Diet Assoc. 2003; 103: 231–234.[CrossRef][Medline] [Order article via Infotrieve]

37. Nielsen SJ, Siega-Riz AM, Popkin BM. Trends in food locations and sources among adolescents and young adults. Prev Med. 2002; 35: 107–113.[CrossRef][Medline] [Order article via Infotrieve]

38. Duffey KJ, Gordon-Larsen P, Jacobs DR Jr, Williams OD, Popkin BM. Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the Coronary Artery Risk Development in Young Adults Study. Am J Clin Nutr. 2007; 85: 201–208.[Abstract/Free Full Text]

39. Haines PS, Hama MY, Guilkey DK, Popkin BM. Weekend eating in the United States is linked with greater energy, fat, and alcohol intake. Obes Res. 2003; 11: 945–949.[Medline] [Order article via Infotrieve]

40. Van Horn L, Obarzanek E, Friedman LA, Gernhofer N, Barton B. Children’s adaptations to a fat-reduced diet: the Dietary Intervention Study in Children (DISC). Pediatrics. 2005; 115: 1723–1733.[Abstract/Free Full Text]

41. Wang YC, Bleich SN, Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008; 121: e1604–e1614.[Abstract/Free Full Text]

42. DiMeglio DP, Mattes RD. Liquid versus solid carbohydrate: effects on food intake and body weight. Int J Obes Relat Metab Disord. 2000; 24: 794–800.[CrossRef][Medline] [Order article via Infotrieve]

43. Flood JE, Roe LS, Rolls BJ. The effect of increased beverage portion size on energy intake at a meal. J Am Diet Assoc. 2006; 106: 1984–1990.[CrossRef][Medline] [Order article via Infotrieve]

44. Mattes RD. Fluid energy: where’s the problem? J Am Diet Assoc. 2006; 106: 1956–1961.[CrossRef][Medline] [Order article via Infotrieve]

45. Mourao DM, Bressan J, Campbell WW, Mattes RD. Effects of food form on appetite and energy intake in lean and obese young adults. Int J Obes (Lond). 2007; 31: 1688–1695.[CrossRef][Medline] [Order article via Infotrieve]

46. Rampersaud GC, Pereira MA, Girard BL, Adams J, Metzl JD. Breakfast habits, nutritional status, body weight, and academic performance in children and adolescents. J Am Diet Assoc. 2005; 105: 743–760.[CrossRef][Medline] [Order article via Infotrieve]

47. Song WO, Chun OK, Obayashi S, Cho S, Chung CE. Is consumption of breakfast associated with body mass index in US adults? J Am Diet Assoc. 2005; 105: 1373–1382.[CrossRef][Medline] [Order article via Infotrieve]

48. Carson T, Siega-Riz AM, Popkin BM. The importance of breakfast meal type to daily nutrient intake: differences by age and ethnicity. Cereal Foods World. 1999; 44: 414–422.

49. Timlin MT, Pereira MA, Story M, Neumark-Sztainer DR. Breakfast eating and weight change in a 5-year prospective analysis of adolescents: Project EAT (Eating Among Teens). Pediatrics. 2008; 121: e638–e645.[Abstract/Free Full Text]

50. Neumark-Sztainer D. Eating among teens: do family mealtimes make a difference for adolescents’ nutrition? New Dir Child Adolesc Dev. 2006: 91–105.

51. Taveras EM, Rifas-Shiman SL, Berkey CS, Rockett HR, Field AE, Frazier AL, Colditz GA, Gillman MW. Family dinner and adolescent overweight. Obes Res. 2005; 13: 900–906.[Medline] [Order article via Infotrieve]

52. Ziegler P, Briefel R, Clusen N, Devaney B. Feeding Infants and Toddlers Study (FITS): development of the FITS survey in comparison to other dietary survey methods. J Am Diet Assoc. 2006; 106 (suppl 1): S12–S27.[Medline] [Order article via Infotrieve]

53. Skinner JD, Ziegler P, Pac S, Devaney B. Meal and snack patterns of infants and toddlers. J Am Diet Assoc. 2004; 104 (suppl 1): s65–s70.[CrossRef][Medline] [Order article via Infotrieve]

54. Rozin P. "Taste-smell confusions" and the duality of the olfactory sense. Percept Psychophys. 1982; 31: 397–401.[Medline] [Order article via Infotrieve]

55. Mennella JA. The chemical senses and the development of flavor preferences in humans. In: Hartmann P, Hale T, eds. Textbook on Human Lactation. Amarillo, Tex: Hale Publishing; 2007: 403–414.

56. Mennella JA, Jagnow CP, Beauchamp GK. Prenatal and postnatal flavor learning by human infants. Pediatrics. 2001; 107: E88.[CrossRef][Medline] [Order article via Infotrieve]

57. Breslin PA, Beauchamp GK. Suppression of bitterness by sodium: variation among bitter taste stimuli. Chem Senses. 1995; 20: 609–623.[Abstract/Free Full Text]

58. Bertino M, Beauchamp GK, Engelman K. Increasing dietary salt alters salt taste preference. Physiol Behav. 1986; 38: 203–213.[CrossRef][Medline] [Order article via Infotrieve]

59. Bertino M, Beauchamp GK, Engelman K. Long-term reduction in dietary sodium alters the taste of salt. Am J Clin Nutr. 1982; 36: 1134–1144.[Abstract/Free Full Text]

60. Mennella JA, Pepino MY, Reed DR. Genetic and environmental determinants of bitter perception and sweet preferences. Pediatrics. 2005; 115: e216–e222.[Abstract/Free Full Text]

61. Pepino MY, Mennella JA. Sucrose-induced analgesia is related to sweet preferences in children but not adults. Pain. 2005; 119: 210–218.[CrossRef][Medline] [Order article via Infotrieve]

62. Guthrie JF, Morton JF. Food sources of added sweeteners in the diets of Americans. J Am Diet Assoc. 2000; 100: 43–51.[CrossRef][Medline] [Order article via Infotrieve]

63. Nielsen SJ, Siega-Riz AM, Popkin BM. Trends in energy intake in U.S. between 1977 and 1996: similar shifts seen across age groups. Obes Res. 2002; 10: 370–378.[Medline] [Order article via Infotrieve]

64. Desor JA, Greene LS, Maller O. Preferences for sweet and salty in 9- to 15-year-old and adult humans. Science. 1975; 190: 686–687.[Abstract/Free Full Text]

65. Pepino MY, Mennella JA. Factors contributing to individual differences in sucrose preference. Chem Senses. 2005; 30 (suppl 1): i319–i320.[Free Full Text]

66. Forestell CA, Mennella JA. Early determinants of fruit and vegetable acceptance. Pediatrics. 2007; 120: 1247–1254.[Abstract/Free Full Text]

67. Resnicow K, Davis-Hearn M, Smith M, Baranowski T, Lin LS, Baranowski J, Doyle C, Wang DT. Social-cognitive predictors of fruit and vegetable intake in children. Health Psychol. 1997; 16: 272–276.[CrossRef][Medline] [Order article via Infotrieve]

68. Stice E, Shaw H, Marti CN. A meta-analytic review of obesity prevention programs for children and adolescents: the skinny on interventions that work. Psychol Bull. 2006; 132: 667–691.[CrossRef][Medline] [Order article via Infotrieve]

69. Collins CE, Warren J, Neve M, McCoy P, Stokes BJ. Measuring effectiveness of dietetic interventions in child obesity: a systematic review of randomized trials. Arch Pediatr Adolesc Med. 2006; 160: 906–922.[Abstract/Free Full Text]

70. Lau DC, Douketis JD, Morrison KM, Hramiak IM, Sharma AM, Ur E. 2006 Canadian clinical practice guidelines on the management and prevention of obesity in adults and children [summary]. CMAJ. 2007; 176: S1–S13.[Abstract/Free Full Text]

71. Epstein LH, Myers MD, Raynor HA, Saelens BE. Treatment of pediatric obesity. Pediatrics. 1998; 101 (pt 2): 554–570.[Abstract/Free Full Text]

72. Wilfley DE, Tibbs TL, Van Buren DJ, Reach KP, Walker MS, Epstein LH. Lifestyle interventions in the treatment of childhood overweight: a meta-analytic review of randomized controlled trials. Health Psychol. 2007; 26: 521–532.[CrossRef][Medline] [Order article via Infotrieve]

73. Dietz WH, Robinson TN. Clinical practice: overweight children and adolescents. N Engl J Med. 2005; 352: 2100–2109.[Free Full Text]

74. Epstein LH, Leddy JJ, Temple JL, Faith MS. Food reinforcement and eating: a multilevel analysis. Psychol Bull. 2007; 133: 884–906.[CrossRef][Medline] [Order article via Infotrieve]

75. Resnicow K, Davis R, Rollnick S. Motivational interviewing for pediatric obesity: conceptual issues and evidence review. J Am Diet Assoc. 2006; 106: 2024–2033.[CrossRef][Medline] [Order article via Infotrieve]

76. Powell LM, Szczypka G, Chaloupka FJ, Braunschweig CL. Nutritional content of television food advertisements seen by children and adolescents in the United States. Pediatrics. 2007; 120: 576–583.[Abstract/Free Full Text]

77. Food and Nutrition Board. Preventing Childhood Obesity: Health in the Balance. Washington, DC: National Academy Press; 2004.

78. Committee on Communications, American Academy of Pediatrics, Strasburger VC. Children, adolescents, and advertising. Pediatrics. 2006; 118: 2563–2569.[Abstract/Free Full Text]

79. Hayman LL, Williams CL, Daniels SR, Steinberger J, Paridon S, Dennison BA, McCrindle BW, for the Committee on Atherosclerosis, Hypertension, and Obesity in Youth (AHOY) of the Council on Cardiovascular Disease in the Young, American Heart Associaiton. Cardiovascular health promotion in the schools: a statement for health and education professionals and child health advocates from the Committee on Atherosclerosis, Hypertension, and Obesity in Youth (AHOY) of the Council on Cardiovascular Disease in the Young, American Heart Association. Circulation. 2004; 110: 2266–2275.[Free Full Text]

80. Bodor JN, Rose D, Farley TA, Swalm C, Scott SK. Neighbourhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008: 11: 413–420.[Medline] [Order article via Infotrieve]

81. Project for Public Spaces. Public Markets and Community-Based Food Systems: Making Them Work in Lower-Income Neighborhoods: A Report for the W.K. Kellogg Foundation. New York, NY: Project for Public Spaces; 2003.

82. Campbell MK, Hudson MA, Resnicow K, Blakeney N, Paxton A, Baskin M. Church-based health promotion interventions: evidence and lessons learned. Annu Rev Public Health. 2007; 28: 213–234.[CrossRef][Medline] [Order article via Infotrieve]

83. Gortmaker SL, Peterson K, Wiecha J, Sobol AM, Dixit S, Fox MK, Laird N. Reducing obesity via a school-based interdisciplinary intervention among youth: Planet Health. Arch Pediatr Adolesc Med. 1999; 153: 409–418.[Abstract/Free Full Text]

84. Robinson TN. Reducing children’s television viewing to prevent obesity: a randomized controlled trial. JAMA. 1999; 282: 1561–1567.[Abstract/Free Full Text]

85. James J, Thomas P, Cavan D, Kerr D. Preventing childhood obesity by reducing consumption of carbonated drinks: cluster randomised controlled trial. BMJ. 2004; 328: 1237.[Abstract/Free Full Text]

86. Foster G, Sherman S, Borredale KE, Grundy KM, Verder Veur SS, Nachmani J, Karpyn K, Kumanyika S, Shultz J. A policy-based school intervention to prevent overweight and obesity. Pediatrics. 2008; 121: e794–e802.[Abstract/Free Full Text]

87. Howerton MW, Bell BS, Dodd KW, Berrigan D, Stolzenberg-Solomon R, Nebeling L. School-based nutrition programs produced a moderate increase in fruit and vegetable consumption: meta and pooling analyses from 7 studies. J Nutr Educ Behav. 2007; 39: 186–196.[CrossRef][Medline] [Order article via Infotrieve]

88. Resnicow K. School-based obesity prevention: population versus high-risk interventions. Ann N Y Acad Sci. 1993; 699: 154–166.[Medline] [Order article via Infotrieve]

89. Caballero B, Clay T, Davis SM, Ethelbah B, Rock BH, Lohman T, Norman J, Story M, Stone EJ, Stephenson L, Stevens J, for Pathways Study Research Group. Pathways: a school-based, randomized controlled trial for the prevention of obesity in American Indian schoolchildren. Am J Clin Nutr. 2003; 78: 1030–1038.[Abstract/Free Full Text]

90. Luepker RV, Perry CL, McKinlay SM, Nader PR, Parcel GS, Stone EJ, Webber LS, Elder JP, Feldman HA, Johnson CC, et al. Outcomes of a field trial to improve children’s dietary patterns and physical activity: the Child and Adolescent Trial for Cardiovascular Health: CATCH Collaborative Group. JAMA. 1996; 275: 768–776.[Abstract/Free Full Text]

91. Goldfield GS, Raynor HA, Epstein LH. Treatment of pediatric obesity. In: Wadden TA, Stunkard AJ, eds. Handbook of Obesity Treatment. New York, NY: Guildford Press; 2002.

92. Foster GD, Wadden TA, Brownell KD. Peer-led program for the treatment and prevention of obesity in the schools. J Consult Clin Psychol. 1985; 53: 538–540.[CrossRef][Medline] [Order article via Infotrieve]

93. Botvin GJ, Cantlon A, Carter BJ, Williams CL. Reducing adolescent obesity through a school health program. J Pediatr. 1979; 95: 1060–1063.[CrossRef][Medline] [Order article via Infotrieve]

94. Lansky D, Vance MA. School-based intervention for adolescent obesity: analysis of treatment, randomly selected control, and self-selected control subjects. J Consult Clin Psychol. 1983; 51: 147–148.[CrossRef][Medline] [Order article via Infotrieve]

95. Epstein LH, Valoski A, Wing RR, McCurley J. Ten-year outcomes of behavioral family-based treatment for childhood obesity. Health Psychol. 1994; 13: 373–383.[CrossRef][Medline] [Order article via Infotrieve]

96. Story M. School-based approaches for preventing and treating obesity. Int J Obes Relat Metab Disord. 1999; 23 (suppl 2): S43–S51.[CrossRef]

97. Alonso J, Anto JM, Moreno C. Spanish version of the Nottingham Health Profile: translation and preliminary validity. Am J Public Health. 1990; 80: 704–708.[Abstract/Free Full Text]

98. Resnicow K, Cohn L, Reinhardt J, Cross D, Futterman R, Kirschner E, Wynder EL, Allegrante JP. A three-year evaluation of the know your body program in inner-city schoolchildren. Health Educ Q. Winter 1992; 19: 463–480.[Medline] [Order article via Infotrieve]

99. Killen JD, Telch MJ, Robinson TN, Maccoby N, Taylor CB, Farquhar JW. Cardiovascular disease risk reduction for tenth graders: a multiple-factor school-based approach. JAMA. 1988; 260: 1728–1733.[Abstract/Free Full Text]

100. Contento IR, Manning AD, Shannon B. Research perspective on school-based nutrition education. J Nutr Educ. 1992; 24: 247–260.

101. Stone EJ, Perry C, Luepker RV. Synthesis of cardiovascular research for youth health promotion. Health Educ Q. 1989; 16: 155–169.[Medline] [Order article via Infotrieve]

102. Donnelly JE, Jacobsen DJ, Whatley JE, Hill JO, Swift LL, Cherrington A, Polk B, Tran ZV, Reed G. Nutrition and physical activity program to attenuate obesity and promote physical and metabolic fitness in elementary school children. Obes Res. 1996; 4: 229–243.[Medline] [Order article via Infotrieve]

103. Ryan KW, Card-Higginson P, McCarthy SG, Justus MB, Thompson JW. Arkansas fights fat: translating research into policy to combat childhood and adolescent obesity. Health Aff (Millwood). 2006; 25: 992–1004.[Abstract/Free Full Text]

104. Nihiser AJ, Lee SM, Wechsler H, McKenna M, Odom E, Reinold C, Thompson D, Grummer-Strawn L. Body mass index measurement in schools. J Sch Health. 2007; 77: 651–671.[Medline] [Order article via Infotrieve]

105. Institute of Medicine. Nutrition Standards for Foods in Schools: Leading the Way Toward Healthier Youth. Washington, DC: The National Academies; 2007.

106. Kubik MY, Lytle LA, Story M. A practical, theory-based approach to establishing school nutrition advisory councils. J Am Diet Assoc. 2001; 101: 223–228.[CrossRef][Medline] [Order article via Infotrieve]

107. Alvy LM, Calvert SL. Food marketing on popular children’s web sites: a content analysis. J Am Diet Assoc. 2008; 108: 710–713.[CrossRef][Medline] [Order article via Infotrieve]

108. Koplan J, Liverman C, Kraak V, eds. Preventing Childhood Obesity: Health in the Balance. Washington, DC: Institute of Medicine, National Academy Press; 2005.

109. Quart A. Branded: the buying and selling of teenagers. Span P Marketers hang on affluent teen-agers’ every wish. Albuquerque J. June 27, 1999: C3.

110. Halford JC, Boyland EJ, Hughes GM, Stacey L, McKean S, Dovey TM. Beyond-brand effect of television food advertisements on food choice in children: the effects of weight status. Public Health Nutr. 2008; 11: 897–904.[Medline] [Order article via Infotrieve]

111. Curtis KA, McClellan S. Falling through the safety net: poverty, food assistance and shopping constraints in an American city. Urban Anthropol. 1995; 24: 93–135.

112. Weinberg Z. No Place to Shop: The Lack of Supermarkets in Low-Income Neighborhoods. Washington, DC: Public Voice for Food and Health Policy; 1995.

113. Rose D, Richards R. Food store access and household fruit and vegetable use among participants in the US Food Stamp Program. Public Health Nutr. 2004; 7: 1081–1088.[CrossRef][Medline] [Order article via Infotrieve]

114. Morland K, Filomena S. Disparities in the availability of fruits and vegetables between racially segregated urban neighbourhoods. Public Health Nutr. 2007; 10: 1481–1489.[Medline] [Order article via Infotrieve]

115. Morland K, Diez Roux AV, Wing S. Supermarkets, other food stores, and obesity: the Atherosclerosis Risk in Communities Study. Am J Prev Med. 2006; 30: 333–339.[CrossRef][Medline] [Order article via Infotrieve]

116. Morland K, Wing S, Diez Roux A. The contextual effect of the local food environment on residents’ diets: the Atherosclerosis Risk in Communities Study. Am J Public Health. 2002; 92: 1761–1767.[Abstract/Free Full Text]

117. Brookings Institution. The Price Is Wrong: Getting the Market Right for Working Families in Philadelphia. Washington, DC: Brookings Institution Metropolitan Policy Program; 2005.

118. Chung C, Myers SL. Do the poor pay more for food? An analysis of grocery store availability and food price disparities. J Consum Affairs. 1999; 33: 276–296.

119. Kaufman PR, MacDonald JM, Lutz SM, Smallwood DM. Do the Poor Pay More for Food? Item Selection and Price Differences Affect Low-Income Household Food Costs. Washington, DC: US Department of Agriculture; 1997. AER759.

120. US House of Representatives Select Committee on Hunger. Obtaining Food: Shopping Constraints on the Poor. Washington, DC: US Government Printing Office; 1987.

121. Giang T, Karpyn A, Laurison HB, Hillier A, Perry D. Closing the grocery gap in underserved communities: the creation of the Pennsylvania Fresh Food Financing Initiative. J Public Health Manag Pract. 2008; 14: 272–279.[Medline] [Order article via Infotrieve]

122. Curran S, Gittelsohn J, Anliker J, Ethelbah B, Blake K, Sharma S, Caballero B. Process evaluation of a store-based environmental obesity intervention on two American Indian reservations. Health Educ Res. 2005; 20: 719–729.[Abstract/Free Full Text]

123. The Food Trust. Building strong communities through healthy food. Available at: http://www.thefoodtrust.org. Accessed April 9, 2008.

124. Kaiser Permanente strategic plan. Oakland, Calif: Kaiser Permanente. Available at: http://www.archives.gov/legislative/guide/house/chapter-22-1969-1987.html. Accessed January 26, 2009.

125. Kunkel ME, Luccia B, Moore AC. Evaluation of the South Carolina Seniors Farmers’ Market Nutrition Education Program. J Am Diet Assoc. 2003; 103: 880–883.[CrossRef][Medline] [Order article via Infotrieve]

126. Johnson DB, Beaudoin S, Smith LT, Beresford SA, LoGerfo JP. Increasing fruit and vegetable intake in homebound elders: the Seattle Senior Farmers’ Market Nutrition Pilot Program. Prev Chronic Dis. 2004; 1: A03.[Medline] [Order article via Infotrieve]

127. Burton S, Creyer EH, Kees J, Huggins K. Attacking the obesity epidemic: the potential health benefits of providing nutrition information in restaurants. Am J Public Health. 2006; 96: 1669–1675.[Abstract/Free Full Text]

128. Thompson SE, Smith BA, Bybee RF. Factors influencing participation in worksite wellness programs among minority and underserved populations. Fam Community Health. 2005; 28: 267–273.[Medline] [Order article via Infotrieve]

129. Steenhuis IH, Van Assema P, Glanz K. Strengthening environmental and educational nutrition programmes in worksite cafeterias and supermarkets in The Netherlands. Health Promot Int. 2001; 16: 21–33.[Abstract/Free Full Text]

130. Gordon-Larsen P, Harris KM, Ward DS, Popkin BM, for the National Longitudinal Study of Adolescent Health. Acculturation and overweight-related behaviors among Hispanic immigrants to the US: the National Longitudinal Study of Adolescent Health. Soc Sci Med. 2003; 57: 2023–2034.[CrossRef][Medline] [Order article via Infotrieve]

131. Hazuda HP, Haffner SM, Stern MP, Eifler CW. Effects of acculturation and socioeconomic status on obesity and diabetes in Mexican Americans: the San Antonio Heart Study. Am J Epidemiol. 1988; 128: 1289–1301.[Abstract/Free Full Text]

132. Popkin BM, Duffey K, Gordon-Larsen P. Environmental influences on food choice, physical activity and energy balance. Physiol Behav. 2005; 86: 603–613.[CrossRef][Medline] [Order article via Infotrieve]

133. Baker B. What consumers say (isn’t always what they do). Available at: http://www.qsrmagazine.com/articles/features/103/consumers-1.phtml. Accessed June 1, 2007.




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Where Do Eggs Fit in a Heart-Healthy Diet?
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