Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: Am J Prev Med. 2013 Nov;45(5):10.1016/j.amepre.2013.06.013. doi: 10.1016/j.amepre.2013.06.013

Solid Fat and Added Sugar Intake Among U.S. Children

The Role of Stores, Schools, and Fast Food from 1994 to 2010

Jennifer M Poti 1, Meghan M Slining 1, Barry M Popkin 1
PMCID: PMC3806190  NIHMSID: NIHMS510963  PMID: 24139767

Abstract

Background

Little is known about the role of location in U.S. children’s excess intake of energy from solid fat and added sugar, collectively referred to as SoFAS.

Purpose

The goal of the study was to compare the SoFAS content of foods consumed by children from stores, schools, and fast-food restaurants and to determine whether trends from 1994–2010 differ across these locations.

Methods

Children aged 2–18 years (n=22,103) from five nationally representative surveys of dietary intake from 1994 to 2010 were studied. SoFAS content was compared across locations for total intake and key foods. Regression models were used to test and compare linear trends across locations. Data were analyzed in 2012.

Results

The mean percentage of total energy intake consumed from each location that was provided by SoFAS remained above recommendations, despite significant improvements between 1994 and 2010 at stores (38.3% to 33.2%); schools (38.7% to 31.2%); and fast-food restaurants (43.3% to 34.6%). For each key food, SoFAS content decreased significantly at stores and schools, yet progress at schools was comparatively slower. Milk was higher in SoFAS at schools compared to stores due to shifts toward flavored milk at schools. Schools provided french fries that were higher in solid fat than store-bought versions and pizza that was not substantially different in SoFAS content than fast-food pizza. However, schools made substantially greater progress for sugar-sweetened beverages, as lower-sugar beverages replaced regular sodas. Key fast foods showed little improvement.

Conclusions

These findings can inform future strategies targeted to reduce SoFAS consumption in specific locations.

Introduction

In 2009–2010, 31.8% of U.S. children aged 2–19 years were overweight or obese.1 To address the dietary factors contributing to this epidemic, the 2010 Dietary Guidelines for Americans advise children and adults to limit their intake of calories from solid fat and added sugar, collectively referred to as SoFAS.2 Excessive SoFAS intake not only displaces more nutrient-dense foods, but also drives energy intake above caloric needs.25 In 2003–2004, mean SoFAS intake among U.S. children was estimated at 39% of total energy (433 calories from solid fat and 365 calories from added sugar), an amount that exceeded the maximum recommendations for discretionary calorie intake for 97% of children.68 Despite a decline to 33% in 2009–2010, average SoFAS intake remains above the recommended levels, which range from 8%–19% depending on total caloric needs.2,9

However, few studies have examined where children are obtaining these high levels of SoFAS. Saturated fat is a major component of solid fat, and comparison of foods consumed by children from different locations in 1994–1996 revealed higher saturated fat content of foods from schools (14.4% of total calories) and fast-food restaurants (13.6%) compared to store-bought foods (11.5%).10 In 2005–2008, for all Americans, saturated fat content was highest for fast foods (13.5%); intermediate for school foods (12.3%); and lowest for store-bought foods (10.7%).11 More recent comparisons of foods consumed by children and analysis of solid fat and added sugar content by location are not available. Top food sources of SoFAS include milk; sugar-sweetened beverages (SSBs); pizza; and french fries.8 Several studies have identified these foods and beverages as items commonly consumed by U.S. children from stores, schools, and fast-food restaurants.1216 However, no studies have determined whether the SoFAS content of these key foods varies by the location where the food is obtained.

Moreover, no studies have directly compared the changes in SoFAS content of foods from these locations from 1994 to 2010, despite both voluntary and regulatory efforts to improve the nutritional content of children’s diets that specifically targeted stores, schools, and fast-food restaurants during this time span.1623 From 1987–1988 to 1995, saturated fat density of foods consumed by all Americans declined for store-bought foods (13.5% to 10.9%) and fast foods (15.4% to 13.8%) but not for school foods (13.9% to 14.2%).24 More recent analysis and trends specifically for children’s intake of saturated fat are not available.

To address these research gaps, the purpose of this study is to compare the SoFAS content of foods consumed by children from stores, schools, and fast-food restaurants and to determine whether temporal trends from 1994–2010 differ across these locations. Changes in SoFAS consumption might result from modifications to the food supply by manufacturers, changes in the variety of available products with reduced added sugar or solid fat content, shifts in consumers’ selection among these products, or changes in the frequency of consumption or portion size consumed for products with high SoFAS content. Updated trends on SoFAS consumption potentially reflect the effectiveness of location-specific strategies to improve dietary quality during the last 15 years and can identify areas that future public health efforts could target.

Methods

Participants

This analysis includes 22,103 children aged 2–18 years from five cross-sectional surveys of dietary intake from 1994 to 2010: the 1994–1996 Continuing Survey of Food Intakes by Individuals (CSFII), combined with the 1998 Supplemental Children’s Survey (N=8797); and the National Health and Nutrition Examination Survey (NHANES) for 2003–2004 (N=3535), 2005–2006 (N=3741), 2007–2008 (N=2953), and 2009–2010 (N=3077). All surveys provide nationally representative estimates of dietary intake for the civilian, non-institutionalized U.S. population through use of a complex, multistage, stratified sampling design. Survey methodology is described in detail elsewhere.2529

Dietary Data

Two interviewer-administered 24-hour dietary recalls were collected by each survey using multiple-pass methodology. The first day was collected in person and the second day was collected 3–10 days later in person (CSFII) or by telephone (NHANES). For children aged <6 years, recalls were completed by a proxy respondent. For children aged 6–11 years, recalls were proxy-assisted.

Each food was recorded using a discrete food code with nutrient composition provided by food composition databases that reflect foods available at the time of each survey; all are based on the U.S. Department of Agriculture (USDA) National Nutrient Database for Standard Reference.30,31 The USDA’s MyPyramid Equivalents Database (MPED) was used to determine solid fat and added sugar content.32,33 A complete description of this approach is provided in Appendix A (available online at www.ajpmonline.org), and similar methodology has been utilized in previous studies and by the National Cancer Institute.34,35

Briefly, direct links were possible for CSFII 1994–1998 (MPED, version 1.0) and NHANES 2003–2004 (MPED version 2.0). Because updated MPED databases specific for NHANES 2005–2010 have not been released, MPED version 2.0 was used for food codes retained by subsequent surveys. SoFAS content of food codes newly introduced in 2005–2008 was provided by the Center for Nutrition Policy and Promotion’s MPED 2.0 Addendum.36 Food codes that were newly introduced in 2009–2010 were matched to similar food codes from prior surveys.

Food Grouping

Previous work identified milk, SSBs (including regular and low-calorie/diet soft drinks, fruit drinks, sports drinks, and energy drinks); pizza; and french fries as top food group sources of total energy, added sugar, or solid fat from each location in 2009–2010 (J Poti, M Slining, B Popkin; University of North Carolina at Chapel Hill [UNC-CH], unpublished observations, 2013). Each food is represented by several food codes; for example, 59 milk food codes distinguish among plain and flavored versions and varying fat content.

Location

The participant reported the location where each food or beverage was obtained. Locations were grouped into five categories: stores, including supermarkets, grocery stores, and convenience stores; schools, including school cafeterias, and child care centers; fast food, defined by the surveys as any restaurant without a wait staff and including pizza home delivery; restaurants with wait staff; and other, including vending machines, food/ice cream trucks, foods from other people, and sports/recreation facilities.37 Based on the percentage of total calorie intake from each location, this analysis focused on stores (66.7%); schools (7.9%); and fast food (12.7%) because restaurants (5.3%) represent a small proportion of children’s calories, and other sources (7.4% collectively) are a heterogeneous category. Location food consumers were defined as children who reported any items obtained from a given location during the first day of dietary recall.

Analytic Sample

This analysis includes children with one complete dietary recall deemed reliable by study developers. Only the first day was used because the MPED 2.0 Addendum only includes new food codes reported on recall Day 1, and differences in how recalls were conducted for Day 2 (in person for CSFII and by telephone for NHANES) limit comparability. Children were excluded if missing the location for any food item (n=290); if breastmilk was reported (n=7); or if foods for which SoFAS content could not be estimated in 2009–2010 were consumed (n=29).

Data Analysis

Trends from 1994–2010 in the SoFAS content of total intake and key food groups were described and compared across locations. Using linear regression, linear trends were tested using Wald’s F-test. Trends were compared across locations using interactions of location and time with p<0.1 considered significant. To compare locations for a given year, t-tests were used with p<0.05/3 considered significant, which includes Bonferroni correction for multiple (3) comparisons. SoFAS intake from each location was compared to the maximum recommendation of 19% of total energy using t-tests.2 Survey commands within Stata (version 12) were used to account for complex survey design and to incorporate sample weights, which reflect probability of selection, nonresponse, and poststratification. Data analysis occurred in 2012 and was deemed exempt by the UNC-CH IRB.

Results

Sociodemographic characteristics of participants for each survey are provided in Table 1 for all children and in Appendix B (available online at www.ajpmonline.org) for consumers of foods from each location. The percentage of total energy intake consumed from each location that was provided by SoFAS decreased significantly between 1994–1998 and 2009–2010 for foods consumed by children from each location (Table 2). These improvements were significantly greater for schools (38.7% to 31.2%) and fast-food restaurants (43.3% to 34.6%) compared to stores (38.3% to 33.2%). Percentage added sugar significantly declined by a similar amount at each location but was significantly higher for store-bought foods compared to school and fast foods at all timepoints. Although significant decreases in percentage solid fat were greater for schools and fast food compared to stores, solid fat was greatest for fast-food restaurants and higher for schools compared to stores during each survey period. In 2009–2010, SoFAS consumption from each location exceeded the maximum recommended intake.

Table 1.

Sociodemographic characteristics of U.S. children aged 2–18 years, 1994–2010, %

CSFII NHANES NHANES NHANES NHANES
1994–1998 2003–2004 2005–2006 2007–2008 2009–2010
N=8797 N=3535 N=3741 N=2953 N=3077
Age group, yearsa
 2–5 24.7 22.5 22.7 23.6 23.4
 6–11 35.4 34.9 34.4 34.4 34.9
 12–18 39.9 42.6 42.9 42.0 41.7
Female 48.9 48.4 49.1 50.1 49.8
Race/ethnicity
 Non-Hispanic white 65.2 62.6 60.5 60.0 57.5
 Non-Hispanic black 16.1 15.0 14.6 14.6 13.5
 Mexican-American 6.6 12.6 13.5 13.2 14.4
 Other 12.1 9.7 11.5 12.2 14.6
Household income, % federal poverty levelb
 ≤130 26.4 33.9 27.3 33.1 33.7
 131–299 34.7 31.1 32.6 28.5 28.5
 ≥300 38.9 35.0 40.1 38.3 37.8
Household educationc
 < High school 10.9 20.2 18.5 20.9 20.4
 High schoold 29.5 26.7 24.9 25.1 20.8
 Some college 25.6 34.4 34.2 28.5 30.2
 College degree 33.9 18.7 22.4 25.5 28.6
a

All percentages take into account survey design and sample weights.

b

Household income expressed as percentage of the Federal Poverty Level.

c

Education level of household referent.

d

Graduated from high school or obtained GED

CSFII, Continuing Survey of Food Intakes by Individuals; GED, General Educational Development test; NHANES, National Health and Nutrition Examination Survey

Table 2.

SoFAS content of foods consumed by children from stores, schools, and fast food restaurantsa

CSFII NHANES NHANES NHANES NHANES p for trend P for interaction
1994–1998
2003–2004
2005–2006
2007–2008
2009–2010
N= 8797 N= 3535 N= 3741 N= 2953 N= 3077
SoFAS, % kcal/dayb
 Total 38.9 ± 0.2 37.3 ± 0.6 36.4 ± 0.3 35.0 ± 0.3 33.4 ± 0.3 <0.0001 -
 Store 38.3 ± 0.3y 38.1 ± 0.7x 36.1 ± 0.5y 35.5 ± 0.5y 33.2 ± 0.4x <0.001 ref
 School 38.7 ± 0.5y 33.9 ± 1.1y 35.8 ± 0.8y 32.2 ± 0.7z 31.2 ± 0.8y <0.001 <0.001
 Fast food 43.3 ± 0.6x 37.9 ± 0.7x 39.1 ± 0.6x 37.2 ± 0.6x 34.6 ± 1.0xy <0.001 <0.001
Added sugar, % kcal/day
 Total 17.7 ± 0.2 17.1 ± 0.5 15.8 ± 0.3 15.1 ± 0.3 14.1 ± 0.4 <0.0001 -
 Store 19.3 ± 0.3x 20.0 ± 0.7x 17.7 ± 0.5x 17.2 ± 0.5x 15.6 ± 0.5x <0.001 ref
 School 13.3 ± 0.6z 12.0 ± 1.0y 12.9 ± 0.8y 10.9 ± 0.5y 10.4 ± 0.6y <0.001 0.5
 Fast food 15.8 ± 0.7y 11.7 ± 0.7y 12.3 ± 0.9y 12.1 ± 0.7y 10.7 ± 1.1y <0.001 0.2
Solid fat, % kcal/day
 Total 21.1 ± 0.2 20.1 ± 0.3 20.6 ± 0.2 19.8 ± 0.3 19.3 ± 0.2 <0.0001 -
 Store 18.9 ± 0.2z 18.1 ± 0.4z 18.4 ± 0.2z 18.3 ± 0.3z 17.6 ± 0.3z <0.001 ref
 School 25.4 ± 0.3y 22.0 ± 0.7y 22.9 ± 0.5y 21.3 ± 0.5y 20.9 ± 0.6y <0.001 <0.0001
 Fast food 27.5 ± 0.4x 26.2 ± 0.5x 26.7 ± 0.8x 25.1 ± 0.7x 23.9 ± 0.7x <0.001 0.01
Total energy, per capita (kcal/day)c
 Total 2005 ± 24 2118 ± 23 2026 ± 34 1907 ± 25 1907 ± 25 0.003 -
 Store 1365 ± 25x 1407 ± 34x 1326 ± 25x 1242 ± 21x 1310 ± 20x 0.005 ref
 School 175 ± 7z 150 ± 20z 133 ± 12z 162 ± 19z 162 ± 19y 0.2 0.07
 Fast food 216 ± 8y 316 ± 21y 287 ± 18y 240 ± 16y 207 ± 9y 0.4 0.007
Total energy, per consumer (kcal/day)d
 Store 1395 ± 24x 1426 ± 33x 1341 ± 26x 1260 ± 21x 1324 ± 20x 0.001 ref
 School 654 ± 13z 675 ± 31z 628 ± 21z 650 ± 31y 670 ± 23y 0.9 0.007
 Fast food 746 ± 17y 825 ± 25y 792 ± 24y 735 ± 32y 655 ± 13y 0.02 0.3

Note: Boldface indicates significance.

a

Data for children aged 2–18 years. Values are M± SE and take into account survey design and sample weights. Mean percentages are calculated as means of per-person ratios. Linear trends were significant at p<0.05, and test of interactions with p<0.1 indicated that linear trends for schools or fast-food restaurants were significantly different from linear trends for stores.

b

Percentage of energy intake per day (% kcal/day) from a given location that was provided by SoFAS among consumers at that location.

c

Mean total energy intake per capita consumed from each location, including consumers and nonconsumers.

d

Mean total energy intake consumed from each location among store food consumers, school food consumers, and fast-food consumers.

x, y, z

Means for stores, schools, and fast-food restaurants were compared for the specified survey year using pairwise t-tests with p<0.05/3, which includes Bonferroni correction, considered significant. Within columns for each nutrient, values with a common letter are not significantly different.

CSFII, Continuing Survey of Food Intakes by Individuals; kcal/d, kilocalories per day; NHANES, National Health and Nutrition Examination Survey; SoFAS, total energy from solid fat and added sugar

For milk at all locations, the percentage added sugar increased across time while percentage solid fat decreased (Figure 1). The magnitude of these changes was significantly greater for schools and fast food compared to stores. Consequently, percentage solid fat was significantly lower for school-bought milk compared to store-bought milk after 2007. Counteracting this improvement, school-bought milk had a significantly higher percentage added sugar than store-bought milk for all years, as 57% of milks obtained from schools were chocolate or flavored compared to 15% at stores in 2009–2010 (Appendix C, available online at www.ajpmonline.org). Increases in the frequency of flavored milk consumption from 1994–1998 to 2009–2010 were also greater for schools compared to stores. Thus, milk consumed by children was significantly higher in total SoFAS when obtained from schools (39%) compared to stores (32%) in 2009–2010 and at all timepoints.

Figure 1.

Figure 1

Added sugar and solid fat content of milk, pizza, french fries, and sugar-sweetened beverages consumed by children from stores, schools, and fast-food restaurants, 1994–2010 Note: Data for children aged 2–18 years from CSFII 1994–1998 and NHANES 2003–2010. Numbers in bars are the percentage of food group kcal per day from non-SoFAS calories, added sugar, and solid fat at each location. Significance testing compares values in a given year for all pairwise comparisons of locations.

a Includes all types of milk such as whole, 2%, 1%, and nonfat milks (plain, chocolate, and flavored)

b Includes all types of pizza, calzones, and pizza rolls

c Includes french fries, home fries, and hash browns

d Includes regular, low-calorie, and diet sugar-sweetened beverages such as soft drinks, fruit drinks, sports drinks, and energy drinks

* Store and school are significantly different

** Store and fast food are significantly different

*** School and fast food are significantly different

kcal/d, kilocalories per day; SoFAS, total energy from solid fat and added sugar

CSFII, Continuing Survey of Food Intakes by Individuals; NHANES, National Health and Nutrition Examination Survey

The percentage solid fat in pizza decreased significantly across time for all locations, and the magnitude of the decrease was significantly greater for stores compared to either schools or fast- food restaurants (Figure 1). Nevertheless, school-bought and store-bought pizza were not significantly different than fast-food pizza in terms of percentage SoFAS for most survey years. Beneficial decreases in percentage solid fat were observed for both store-bought and school-bought french fries, although the improvement was significantly greater for stores compared to schools (Figure 1). Consequently, at all timepoints, school-bought fries were higher in percentage solid fat than store-bought fries, although lower than fast-food fries. Fries from fast-food restaurants slightly increased in percentage solid fat during this time period.

The percentage added sugar from SSBs showed a significant decrease at all locations (Figure 1). The decline was significantly larger for SSBs from schools and smaller for fast food, compared to store-bought SSBs. This decline in added sugar for SSBs from schools resulted from a major shift in the type of SSBs consumed (Appendix D, available online at www.ajpmonline.org): 45% of SSBs consumed from school in 1994–1998 were regular soft drinks, compared to only 5% in 2009–2010. These sodas were replaced mainly by low-calorie fruit drinks, as well as regular fruit drinks and sports drinks.

Discussion

To our knowledge, this is the first study to describe and compare trends from 1994–2010 in the SoFAS content of foods consumed by U.S. children from stores, schools, and fast-food restaurants. Total SoFAS, added sugar, and solid fat intakes declined significantly at each location during this time span. However, SoFAS consumption from each location in 2009–2010 greatly exceeded recommendations. Thus, examination of individual food groups is needed to identify specific key foods contributing to excessive SoFAS consumption, so that future public health efforts can target these foods. Although significant improvements were observed for each key food consumed by children from stores and schools, this study uniquely finds that progress at schools was comparatively slower for milk, pizza, and french fries.

Stores

Significant improvements in SoFAS content of foods consumed by children from stores were observed overall and for each of these key foods. In 2009–2010, although overall added sugar content was significantly greatest for store-bought foods, solid fat content was lowest compared to the other locations. In agreement, previous studies found that saturated fat content was lowest for store-bought foods.11 Decreases in solid fat of pizza and fries were greater for store-bought items compared to school or fast foods. Moreover, milk and fries from stores were lower in percentage SoFAS than either school-bought or fast-food items in 2009–2010. No prior work has examined changes over time in SoFAS content specifically for store-bought foods. Declines in SoFAS content of store-bought foods during this time span might result from voluntary pledges by food manufacturers to reduce the calorie content of packaged foods, and commitments by food retailers to reduce trans fat and added sugar content of products sold in their stores.1618

Schools

Schools made significant improvements from 1994–2010, as percentage SoFAS overall and for each key food decreased. Previous studies noted declines in whole milk availability and increased frequency of healthy food–preparation techniques at schools, which may explain decreases in the solid fat percentage in school foods.15,38 This analysis notes the success of schools in decreasing added sugar content of SSBs by shifting intake away from regular sodas. In agreement, substantial reduction in sales of full-caloric colas among high school students and the transition toward lower-calorie beverages have been previously documented.22 These improvements might reflect the success of policies implemented during this time span, including legislation requiring that federal meal programs align with dietary guidelines and mandating school wellness policies, as well as efforts by the Alliance for a Healthier Generation to remove nondiet soft drinks from schools and increases in states with nutrition standards.2022,39

However, direct comparison of changes across locations revealed that schools achieved more limited progress than stores in reducing SoFAS content of milk, pizza, and fries. Milk consumed by children was higher in percentage added sugar and SoFAS when obtained from schools compared to stores throughout the 1994–2010 time span as a result of shifts toward flavored milk at schools (57% of milk in 2009–2010). In agreement, both the third School Nutrition Dietary Assessment Study and the CDC’s School Health Policies and Programs Study estimated that about 50% of school milk was chocolate or flavored.15,40 Fries consumed by children from schools were substantially higher in solid fat content (37%) compared to store-bought fries (16%), and pizza consumed from schools was no different in solid fat content (25%) compared to fast-food pizza (26%). Consistent with these results, previous studies found that pizza was a top source of saturated fat in the National School Lunch Program, and french fries were a key low-nutrient, energy-dense food obtained from schools.14,41

Many recent studies of the school food environment also support the need for additional improvements at schools.14,15,4246 These changes may be achieved by the Healthy, Hunger-Free Kids Act of 2010, which updated USDA nutrition standards for school meals and established standards for competitive school foods.47 This analysis supports the need for these updated standards, which can potentially decrease SoFAS intake by reducing saturated and trans fat content of meals and by limiting availability to fat-free or 1% milk.48,49 However, the significantly higher added sugar content of school compared to store-bought milk suggests that standards could be revised to reduce availability of flavored milk, regardless of its fat content.

Fast Food

Despite decreases in overall SoFAS and solid fat content for fast-food restaurants, total solid fat remained greatest for fast foods throughout this time span. The percentage SoFAS in milk did not improve and the percentage solid fat in french fries slightly increased from 1994 to 2010. Similarly, previous studies found that the percentage fat for fast foods consumed by Americans increased from 40.0% to 41.1% between 1977 and 2010, and median energy content of fast foods did not improve from 1997 to 2010.11,50 SoFAS content was highest for milk, fries, and SSBs consumed by children from fast-food restaurants. In agreement, several recent studies found that few items on fast-food children’s menus meet dietary guidelines for added sugar and saturated fat.13,5153

Strengths and Limitations

A main strength of this analysis is use of large, nationally representative samples spanning the past 15 years and including the most-recent data from 2009–2010. A main limitation of this analysis is that an updated MPED is not available for 2005–2010, so added sugar and solid fat were derived using MPED 2.0 and the MPED Addendum. However, previous studies employed similar methods, and sensitivity analyses confirmed the robustness of results to this approach (Appendix A, available online at www.ajpmonline.org).34,35 The current data cannot distinguish between product reformulations by manufacturers; changes in the availability of alternate versions of a given food with differing SoFAS content (e.g., plain or flavored milk); and shifts in consumers’ choices either to avoid products high in SoFAS or consume them with decreased frequency or in smaller portion sizes. Thus, further studies are needed to identify which potential explanation is the main driver of reductions in SoFAS consumption.

Although the accuracy of these results might be limited by lack of location-specific nutrition information, between 15 and 116 different food codes were available for each food group. Under-reporting of foods perceived as unhealthy is a potential limitation and might vary across time, but no studies indicate that misreporting varies by location.54,55 Because these surveys do not distinguish between supermarkets and smaller food stores, further studies are needed, as these locations vary greatly in healthful food availability.56,57

Conclusion

This study provides a comprehensive comparison of changes from 1994 to 2010 in the SoFAS content of foods consumed by children from stores, schools, and fast-food restaurants. Decreases in overall SoFAS content from all locations and for key foods from stores and schools were encouraging. However, SoFAS intake continues to exceed recommendations, supporting the conclusion of several previous studies: efforts to reduce children’s consumption of SoFAS must be made across multiple locations.41,53,5860

The current findings can inform strategies targeted to the specific food sources and locations where continued progress is needed. In particular, added sugar in flavored milks and excessive solid fat in pizza and french fries should be targeted as schools implement new nutrition standards for school meals and policymakers finalize standards for competitive foods. Further monitoring is necessary to evaluate the impact of food manufacturers’ and retailers’ commitments to improve store-bought foods, implementation of school nutrition standards, and menu-board labeling at fast-food restaurants.

Supplementary Material

01

Acknowledgments

The authors thank the Robert Wood Johnson Foundation (Grant 70017) and the NIH (R01 HL104580, CPC 5 R24 HD050924, and 5T32DK007686-19) for financial support. The authors thank Dr. Phil Bardsley for exceptional assistance with data management and programming and Ms. Frances L. Dancy for administrative assistance.

Footnotes

No financial disclosures were reported by the authors of this paper.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among U.S. children and adolescents, 1999–2010. JAMA. 2012;307(5):483–90. doi: 10.1001/jama.2012.40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.U.S. Department of Agriculture, DHHS. Dietary Guidelines for Americans, 2010. Washington, DC: U.S. Government Printing Office; 2010. [Google Scholar]
  • 3.Taveras EM, Berkey CS, Rifas-Shiman SL, et al. Association of consumption of fried food away from home with body mass index and diet quality in older children and adolescents. Pediatrics. 2005;116(4):e518–24. doi: 10.1542/peds.2004-2732. [DOI] [PubMed] [Google Scholar]
  • 4.Kant AK. Reported consumption of low-nutrient-density foods by American children and adolescents: nutritional and health correlates, NHANES III, 1988 to 1994. Arch Pediatr Adolesc Med. 2003;157(8):789–96. doi: 10.1001/archpedi.157.8.789. [DOI] [PubMed] [Google Scholar]
  • 5.Templeton SB, Marlette MA, Panemangalore M. Competitive foods increase the intake of energy and decrease the intake of certain nutrients by adolescents consuming school lunch. J Am Diet Assoc. 2005;105(2):215–20. doi: 10.1016/j.jada.2004.11.027. [DOI] [PubMed] [Google Scholar]
  • 6.Kirkpatrick SI, Dodd KW, Reedy J, Krebs-Smith SM. Income and race/ethnicity are associated with adherence to food-based dietary guidance among U.S. adults and children. J Acad Nutr Diet. 2012;112(5):624–35. e6. doi: 10.1016/j.jand.2011.11.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Krebs-Smith SM, Guenther PM, Subar AF, Kirkpatrick SI, Dodd KW. Americans do not meet federal dietary recommendations. J Nutr. 2010;140(10):1832–8. doi: 10.3945/jn.110.124826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Reedy J, Krebs-Smith SM. Dietary sources of energy, solid fats, and added sugars among children and adolescents in the U. S J Am Diet Assoc. 2010;110(10):1477–84. doi: 10.1016/j.jada.2010.07.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Slining MM, Popkin BM. Trends in intakes and sources of solid fats and added sugars among U.S. children and adolescents: 1994–2010. Pediatr Obes. 2013 doi: 10.1111/j.2047-6310.2013.00156.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Guthrie JF, Lin BH, Frazao E. Role of food prepared away from home in the American diet, 1977–78 versus 1994–96: changes and consequences. J Nutr Educ Behav. 2002;34(3):140–50. doi: 10.1016/s1499-4046(06)60083-3. [DOI] [PubMed] [Google Scholar]
  • 11.Lin BH, Guthrie J. Economic Information Bulletin Number 105. U.S. Department of Agriculture, Economic Research Service; 2012. Nutritional Quality of Food Prepared at Home and Away From Home, 1977–2008. [Google Scholar]
  • 12.Serrano EL, Jedda VB. Comparison of fast-food and non-fast-food children’s menu items. J Nutr Educ Behav. 2009;41(2):132–7. doi: 10.1016/j.jneb.2008.02.005. [DOI] [PubMed] [Google Scholar]
  • 13.Harris JL, Schwartz MB, Brownell KD. Fast food FACTS: evaluating fast food nutrition and marketing to youth. Rudd Center for Food Policy and Obesity; 2010. www.fastfoodmarketing.org/media/FastFoodFACTS_Report.pdf. [Google Scholar]
  • 14.Crepinsek MK, Gordon AR, McKinney PM, Condon EM, Wilson A. Meals offered and served in U.S. public schools: do they meet nutrient standards? J Am Diet Assoc. 2009;109(2 Suppl):S31–43. doi: 10.1016/j.jada.2008.10.061. [DOI] [PubMed] [Google Scholar]
  • 15.O’Toole TP, Anderson S, Miller C, Guthrie J. Nutrition services and foods and beverages available at school: results from the School Health Policies and Programs Study 2006. J Sch Health. 2007;77(8):500–21. doi: 10.1111/j.1746-1561.2007.00232.x. [DOI] [PubMed] [Google Scholar]
  • 16.Slining MM, Ng SW, Popkin BM. Food companies’ calorie-reduction pledges to improve U.S. diet. Am J Prev Med. 2013;44(2):174–84. doi: 10.1016/j.amepre.2012.09.064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Healthy Weight Commitment Foundation. Food and Beverage Manufacturers Pledging to Reduce Annual Calories by 1.5 Trillion by 2015. 2010 www.healthyweightcommit.org/news/Reduce_Annual_Calories/
  • 18.Walmart Walmart Launches Major Initiative to Make Food Healthier and Healthier Food More Affordable. 2011 news.walmart.com/news-archive/2011/01/20/walmart-launches-major-initiative-to-make-food-healthier-healthier-food-more-affordable.
  • 19.Food Labeling: Trans Fatty Acids in Nutrition Labeling, Nutrient Content Claims, and Health Claims, 21 CFR Part 101 (2003).
  • 20.Healthy Meals for Healthy Americans Act of 1994, Public Law 103–448 (1994).
  • 21.Child Nutrition and WIC Reauthorization Act of 2004, Public Law 108–265 (2004).
  • 22.American Beverage Association. Alliance school beverage guidelines final progress report. 2010 www.healthiergeneration.org/uploadedFiles/About_The_Alliance/SBG%20FINAL%20PROGRESS%20REPORT%20(March%202010).pdf.
  • 23.Roberto CA, Schwartz MB, Brownell KD. Rationale and evidence for menu-labeling legislation. Am J Prev Med. 2009;37(6):546–51. doi: 10.1016/j.amepre.2009.07.015. [DOI] [PubMed] [Google Scholar]
  • 24.Lin B-H, Frazao E, Guthrie J. Away-from-home foods increasingly important to quality of american diet. U.S. Department of Agriculture, Economic Research Service; 1999. [Google Scholar]
  • 25.U.S. Department of Agriculture, Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Surveys Research Group. Continuing Survey of Food Intakes by Individuals 1994–96, 1998 and Diet and Health Knowledge Survey. 1994–96 www.ars.usda.gov/Services/docs.htm?docid=14531.
  • 26.U.S. Department of Agriculture, Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Surveys Research Group, and DHHS, CDC, National Center for Health Statistics. National Health and Nutrition Examination Survey. 2003–2004 www.cdc.gov/nchs/nhanes/nhanes2003-2004/nhanes03_04.htm.
  • 27.U.S. Department of Agriculture, Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Surveys Research Group, and DHHS, CDC, National Center for Health Statistics. National Health and Nutrition Examination Survey. 2005–2006 www.cdc.gov/nchs/nhanes/nhanes2005-2006/nhanes05_06.htm.
  • 28.U.S. Department of Agriculture, Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Surveys Research Group, and DHHS, CDC, National Center for Health Statistics. National Health and Nutrition Examination Survey. 2007–2008 www.cdc.gov/nchs/nhanes/nhanes2007-2008/nhanes07_08.htm.
  • 29.U.S. Department of Agriculture, Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Surveys Research Group, and DHHS, CDC, National Center for Health Statistics. National Health and Nutrition Examination Survey. 2009–2010 www.cdc.gov/nchs/nhanes/nhanes2009-2010/nhanes09_10.htm.
  • 30.U.S. Department of Agriculture, Agricultural Research Service. Food Survey Technical Databases. www.ars.usda.gov/Services/docs.htm?docid=7826.
  • 31.U.S. Department of Agriculture (USDA), Agricultural Research Service. USDA Food and Nutrient Database for Dietary Studies. www.ars.usda.gov/services/docs.htm?docid=12089.
  • 32.Friday JE, Bowman SA. MyPyramid Equivalents Database for USDA Survey Food Codes, 1994–2002 Version 1.0. Beltsville MD: U.S. Department of Agriculture (USDA), Agricultural Research Service, Beltsville Human Nutrition Research Center, Community Nutrition Research Group; 2006. [Google Scholar]
  • 33.Bowman S, Friday J, Moshfegh A. MyPyramid Equivalents Database, 2.0 for USDA Survey Foods, 2003–2004. Beltsville, MD: U.S. Department of Agriculture (USDA), Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Surveys Research Group; 2008. [Google Scholar]
  • 34.Welsh JA, Sharma AJ, Grellinger L, Vos MB. Consumption of added sugars is decreasing in the U. S Am J Clin Nutr. 2011;94(3):726–34. doi: 10.3945/ajcn.111.018366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.National Cancer Institute, U.S. NIH. Documentation for the Pyramid Servings Database for NHANES III. 2010 riskfactor.cancer.gov/pyramid/documentation/
  • 36.Koegel K, Kuczynski K. Center for Nutrition Policy and Promotion Addendum to the MyPyramid Equivalents Database 2.0. Alexandria VA: USDA Center for Nutrition Policy and Promotion, Nutrition Guidance and Analysis Division; 2011. www.cnpp.usda.gov/OtherProjects.htm. [Google Scholar]
  • 37.Poti JM, Popkin BM. Trends in energy intake among U.S. children by eating location and food source, 1977–2006. J Am Diet Assoc. 2011;111(8):1156–64. doi: 10.1016/j.jada.2011.05.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Gordon AR, Crepinsek MK, Briefel RR, Clark MA, Fox MK. The Third School Nutrition Dietary Assessment Study: summary and implications. J Am Diet Assoc. 2009;109(2 Suppl):S129–35. doi: 10.1016/j.jada.2008.10.066. [DOI] [PubMed] [Google Scholar]
  • 39.Kraak VI, Story M, Wartella EA. Government and school progress to promote a healthful diet to American children and adolescents: a comprehensive review of the available evidence. Am J Prev Med. 2012;42(3):250–62. doi: 10.1016/j.amepre.2011.10.025. [DOI] [PubMed] [Google Scholar]
  • 40.Condon EM, Crepinsek MK, Fox MK. School meals: types of foods offered to and consumed by children at lunch and breakfast. J Am Diet Assoc. 2009;109(2 Suppl):S67–78. doi: 10.1016/j.jada.2008.10.062. [DOI] [PubMed] [Google Scholar]
  • 41.Briefel RR, Crepinsek MK, Cabili C, Wilson A, Gleason PM. School food environments and practices affect dietary behaviors of U.S. public school children. J Am Diet Assoc. 2009;109(2 Suppl):S91–107. doi: 10.1016/j.jada.2008.10.059. [DOI] [PubMed] [Google Scholar]
  • 42.Turner L, Chaloupka FJ. Slow progress in changing the school food environment: nationally representative results from public and private elementary schools. J Acad Nutr Diet. 2012;112(9):1380–9. doi: 10.1016/j.jand.2012.04.017. [DOI] [PubMed] [Google Scholar]
  • 43.Delva J, O’Malley PM, Johnston LD. Availability of more-healthy and less-healthy food choices in American schools: a national study of grade, racial/ethnic, and socioeconomic differences. Am J Prev Med. 2007;33(4 Suppl):S226–39. doi: 10.1016/j.amepre.2007.07.018. [DOI] [PubMed] [Google Scholar]
  • 44.Finkelstein DM, Hill EL, Whitaker RC. School food environments and policies in U.S. public schools. Pediatrics. 2008;122(1):e251–9. doi: 10.1542/peds.2007-2814. [DOI] [PubMed] [Google Scholar]
  • 45.Johnston L, O’Malley P, Terry-McElrath Y, Colabianchi N. School Policies and Practices to Improve Health and Prevent Obesity: National Secondary School Survey Results, School Years 2006–07 and 2007–08. Vol. 1. Ann Arbor, MI: Bridging the Gap, Institute for Social Research; 2011. [Google Scholar]
  • 46.Larson N, Story M. Are ‘competitive foods’ sold at school making our children fat? Health Aff (Millwood) 2010;29(3):430–5. doi: 10.1377/hlthaff.2009.0716. [DOI] [PubMed] [Google Scholar]
  • 47.Healthy, Hunger-Free Kids Act of 2010, Public Law No. 111–296 (2010).
  • 48.French SA, Story M. Commentary on nutrition standards in the national school lunch and breakfast programs. Arch Pediatr Adolesc Med. 2012:1–2. doi: 10.1001/jamapediatrics.2013.639. [DOI] [PubMed] [Google Scholar]
  • 49.Food and Nutrition Service, U S. Department of Agriculture. Nutrition standards in the National School Lunch and School Breakfast Programs. Final rule Fed Regist. 2012;77(17):4088–167. [PubMed] [Google Scholar]
  • 50.Bauer KW, Hearst MO, Earnest AA, French SA, Oakes JM, Harnack LJ. Energy content of U.S. fast-food restaurant offerings: 14-year trends. Am J Prev Med. 2012;43(5):490–7. doi: 10.1016/j.amepre.2012.06.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Wu HW, Sturm R. What’s on the menu? A review of the energy and nutritional content of U.S. chain restaurant menus. Public Health Nutr. 2012:1–10. doi: 10.1017/S136898001200122X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.O’Donnell SI, Hoerr SL, Mendoza JA, Tsuei Goh E. Nutrient quality of fast food kids meals. Am J Clin Nutr. 2008;88(5):1388–95. doi: 10.3945/ajcn.2008.26197. [DOI] [PubMed] [Google Scholar]
  • 53.Kirkpatrick SI, Reedy J, Kahle LL, Harris JL, Ohri-Vachaspati P, Krebs-Smith SM. Fast-food menu offerings vary in dietary quality, but are consistently poor. Public Health Nutr. 2013:1–8. doi: 10.1017/S1368980012005563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Burrows TL, Martin RJ, Collins CE. A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labeled water. J Am Diet Assoc. 2010;110(10):1501–10. doi: 10.1016/j.jada.2010.07.008. [DOI] [PubMed] [Google Scholar]
  • 55.Bornhorst C, Huybrechts I, Ahrens W, et al. Prevalence and determinants of misreporting among European children in proxy-reported 24 h dietary recalls. Br J Nutr. 2012:1–9. doi: 10.1017/S0007114512003194. [DOI] [PubMed] [Google Scholar]
  • 56.Larson N, Story M. A review of environmental influences on food choices. Ann Behav Med. 2009;38 (Suppl 1):S56–73. doi: 10.1007/s12160-009-9120-9. [DOI] [PubMed] [Google Scholar]
  • 57.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(4):413–20. doi: 10.1017/S1368980007000493. [DOI] [PubMed] [Google Scholar]
  • 58.Cohen DA, Ghosh-Dastidar B, Beckman R, et al. Adolescent girls’ most common source of junk food away from home. Health Place. 2012;18(5):963–70. doi: 10.1016/j.healthplace.2012.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Briefel RR, Wilson A, Gleason PM. Consumption of low-nutrient, energy-dense foods and beverages at school, home, and other locations among school lunch participants and nonparticipants. J Am Diet Assoc. 2009;109(2 Suppl):S79–90. doi: 10.1016/j.jada.2008.10.064. [DOI] [PubMed] [Google Scholar]
  • 60.Taber DR, Chriqui JF, Chaloupka FJ. Differences in nutrient intake associated with state laws regarding fat, sugar, and caloric content of competitive foods. Arch Pediatr Adolesc Med. 2012;166(5):452–8. doi: 10.1001/archpediatrics.2011.1839. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

01

RESOURCES