Introduction
There is a great deal of concern in the nutrition science literature and among consumers about potential adverse cardiometabolic health impacts from eating ultra-processed foods (UPF) [
1,
2]. The current body of research on UPFs is largely comprised of observational studies, which indicate associations between increased intake of UPFs and a range of adverse health outcomes including elevated blood pressure [
3,
4], excess weight gain [
5,
6], cardiovascular disease risk/incidence [
7,
8,
9], inflammatory markers [
10,
11], and mortality [
12]. Evidence from intervention studies is limited. To address some of the gaps in the literature, a Research Roadmap for UPFs was developed by experts from academia, government, and industry in 2023 [
13]. This Roadmap used the Nova system to identify more- and less-processed foods, as Nova is the most widely used classification system in nutrition literature, though several methods of characterizing foods by “extent” of processing have been published [
14,
15]. Nova classifies all foods into one of four groups: 1) unprocessed or minimally processed foods; 2) processed culinary ingredients; 3) processed foods; 4) UPFs (
Table 1) [
16,
17,
18].
One of the research needs identified by the Roadmap was whether UPF intake influences risk for obesity or cardiometabolic disease, independent of diet quality. The Roadmap further stated that “randomized controlled trials matching dietary patterns for overall quality and food group intake are needed” [
13]. Even in 2025, evidence from intervention studies comparing diets comprised primarily of UPFs with those comprised of mostly unprocessed foods on cardiometabolic health outcomes remains scarce [
19,
20,
21,
22].
Two randomized controlled trials (RCTs) that compared an “unprocessed” food diet and an “ultra-processed” food diet, per Nova, reported that a diet with most of its energy (kcals) coming from UPFs led to greater energy intake and weight gain [
19,
20]. A third RCT compared two diets, one comprised of mostly UPFs and the other comprised of mostly less-processed foods per Nova, both adhering to the United Kingdom’s (UK) dietary guidance [
23], on weight change and cardiometabolic health markers [
21]. Both diets led to weight loss and improved health indicators, but the weight change was greater with the less-processed diet [
21]. A fourth intervention study assessed the impact of excess and adequate calories from unprocessed foods and UPFs in men but focused on reproductive health indicators as a primary outcome [
22].
Both the observational studies and RCTs on UPFs published to date have important limitations. A major limitation of the observational research on UPFs is the ability of these studies to accurately categorize foods according to Nova, because the granularity of data (e.g., brand names, product names, and ingredient lists for individual food and beverage products) required to implement this categorization system is not available in major datasets used to investigate interactions between foods from Nova groups and health outcomes [
5,
24,
25,
26,
27,
28,
29,
30,
31]. With the RCTs on UPFs, two did not control for diet quality, food type, or micronutrient content of the intervention diets [
19,
20], and one did not explicitly control for food type or micronutrient content [
21]. All three studies focused on weight as a primary outcome rather than cardiometabolic health markers. Additional research is required, therefore, to understand whether foods categorized as “ultra-processed” on the Nova classification scale contribute to adverse cardiometabolic health outcomes when diet quality, nutrient content, energy intake, and food type are all held constant. That is, further studies are needed to address the knowledge gap identified by the Research Roadmap.
While Nova is widely used to identify UPF products, some of the foods and beverages that are considered UPF in the Nova system are nutrient-dense, despite their level of processing [
32,
33]. Dicken et al., for instance, developed an intervention diet aligning with the UK’s Eatwell Guide that included 90.7% of energy from UPFs while meeting recommendations for macronutrient intake and servings of fruits, vegetables, dairy, and starchy foods [
21]. Some of the foods included in Dicken et al.’s healthy UPF menu include fruit and oat bars, plant-based milk, flavored yogurt, rice cakes, granola bars, and multigrain breakfast cereals [
21]. Any extruded breakfast cereal is classified as a UPF according to Nova [
34]. Breakfast cereals are also the top contributor to whole grain intake among Americans ages 2 years and older as well as a top contributor to calcium, vitamin D, potassium, and fiber intake among Americans 1 year and older [
35]. Breakfast cereals, alongside other processed and packaged foods like canned fish, whole grain and enriched breads, and nut butters, have historically made important contributions to the nutrient-density of American dietary patterns [
36].
Nova states that “ultra-processed foods are operationally distinguishable from processed foods by the presence of food substances of no culinary use” and lists additives such as flavors and colors as two examples of these food substances [
34]. Hundreds, if not thousands, of nutrient-dense foods have flavors and colors added, including items such as whole wheat banana bread, which may have natural or artificial vanilla and/or banana flavors added, and yellow cheddar cheese colored with annatto. Other foods with flavors and colors include premade salsa, canned corn, tinned fish, pizza sauces, trail mix, canned lentils, hummus, canned peaches, dried bananas, instant oatmeal, tofu, and hot wheat cereal, to provide some examples. Studies comparing Nova to nutrient profiling methods have found that UPFs fall into a wide range of nutrient densities [
31,
37,
38,
39,
40,
41,
42]. Diets containing mostly UPFs (>90% total energy) can meet most recommendations from the 2020-2025 Dietary Guidelines for Americans (2020 DGA) [
43], including micronutrient content. Yet, this type of nutrient-dense UPF diet has not been evaluated for its impact on health in a clinical trial.
This manuscript introduces a protocol for the Dietary Guidelines for Americans with Ultra-Processed foods (DGA-UP) study, an RCT aimed at addressing gaps in UPF intake and cardiometabolic health through a feeding study with UPF- and unprocessed- foods intervention diets matched for diet quality, nutrient content, energy density, and food type. The primary objective of DGA-UP is to evaluate the impact of diets composed primarily of ultra-processed or less processed foods that meet dietary guidelines recommendations on chronic disease risk factors. More specifically, when DGA-compliant diets comprised of mostly ultra-processed and less-processed foods (per Nova) are fed to generally healthy adults, determine whether there is an impact on blood pressure, fasting glucose and insulin concentrations, or blood lipids (total cholesterol, HDL-C, LDL-C, triglycerides). The hypothesis for this study is that changes in blood pressure (primary outcome), fasting glucose and insulin concentrations, and changes in cholesterol levels (total, HDL-C, LDL-C) across the 4-week duration of each dietary intervention (ultra-processed DGA and less processed DGA) will not significantly differ.
Experimental Methods
DGA-UP is a randomized controlled crossover dietary intervention study performed with four-week provision of all meals to generally healthy and normotensive, sedentary male and female adults at eucaloric levels. This study, registered at ClinicalTrials.gov [NCT07252037], will be conducted at the U.S. Department of Agriculture- Agricultural Research Service (USDA-ARS) Grand Forks Human Nutrition Research Center (GFHNRC) from January 2026 through October 2029. The study protocol was approved by the University of North Dakota Institutional Review Board (IRB0006680). All study procedures will be conducted to align with the Declaration of Helsinki for human studies. Participants will provide written informed consent and have the chance to discuss any questions or concerns with study staff prior to starting the study and will be compensated for their participation.
The trial will consist of 2 dietary arms, both of which will include diets based on the Healthy U.S. Style Dietary Pattern (HUSDP) from the 2020 DGA:
1) an eucaloric less-processed HUSDP (LP- HUSDP; 4 weeks); and
2) an eucaloric ultra-processed HUSDP diet (UP- HUSDP; 4 weeks).
A schematic representation of the study’s two arms is shown in
Figure 1, and an overview of study procedures is detailed in
Table 2.
Dietary Intervention
Menus for this study were developed using methods adapted from Hess et al. [
44]. The GFHNRC has a 2020 DGA base menu (5-day HEI-2015 score = 92.35) used in feeding studies to represent a “healthy diet.” This menu was used as the model for UP- HUSDP and LP- HUSDP with adjustments made to different ingredients and foods to accommodate processing levels. Both UP-HUSDP and LP-HUSDP are 5-day menus. Initial determination of processing level (per Nova classification system) and DGA “fitness” of each food were determined by consensus of three reviewers for each aspect (e.g., three experienced Nova classifiers and three experts on DGA dietary patterns/food groups). As the menu was adjusted for ingredient availability, formulation changes by food manufacturers, and taste, subsequent determinations of Nova classifications were made via consensus of GFHNRC research staff.
Participants will receive three meals and one snack per day and will be able to eat the provided food at a cadence of their choice. The LP- HUSDP includes 100% kcal from foods from Nova categories 1 to 3, while the UP- HUSDP diet includes an average of 88% kcal from Nova category 4/UPFs (across all 5 days). Both intervention menus have excellent diet quality as measured by Healthy Eating Index-2020 (HEI-2020) scores. LP-HUSDP has an HEI-2020 score of 98, and the UP-HUSDP has an HEI-2020 score of 97. The 1-point difference in HEI scores is not a “meaningful” one, according to research from USDA’s Center for Nutrition Policy and Promotion as well as the 2025 DGAC Report [
35,
45]. Radar plots of the HEI scores of both diets can be found in
Figure 2.
Both diets contain amounts of macronutrients within the Acceptable Macronutrient Distribution Ranges [
46], and amounts of micronutrients within Dietary Reference Intakes [
47]. Sodium amounts exceed the Chronic Disease Risk Reduction recommendation of 2300 mg per day [
48] in the two intervention diets. However, the sodium amounts in the two diets are nearly equivalent. The LP-HUSDP contains 2542 mg of sodium on average, and the UP-HUSDP contains 2541 mg of sodium, on average. Total sugar and saturated fat amounts are below 10% of total energy in both diets, which is within recommendations from the 2020 DGA [
47]. The UP-HUSDP has 33 g added sugar (7% total sugar), and the LP-HUSDP has 30 g added sugars (6% of total energy). The UP-HUSDP contains 18 g saturated fatty acids (7.9% of total energy), while the LP-HUSDP has 17 g saturated fatty acids (7.5% of total energy).
The participant menu can be viewed in Supplemental
Table 1, and the nutrient profile of the intervention diets are in
Table 3. Intervention menus were finalized after testing by the GFHNRC Dietary Core for food preparation feasibility, storage stability, and taste. All foods and caloric beverages will be prepared by our metabolic kitchen staff using commercially available foods and provided as a 5-day rotating menu. The table in Supplemental
Table 2 shows the servings from each food group in the HUSDP from the 2020 DGA, which was used as the model for developing the intervention diets in this study [
47]. Pictures of both study menus can be found in Supplemental Figure 3.
Participants and screening
Participants (n = 79) will be recruited from the Grand Forks, ND (USA) community. Adults eligible to participate will include apparently healthy males and females ≤65 years of age with blood pressure in the normal to Stage I hypertensive range [
49] and body mass indices (BMI) between 18.5 and 34.9 kg/m
2. Participants must be able to understand and sign the consent form, have their own transportation to study visits, and be willing to eat study food and comply with study demands. Participants may not be taking statins, medication to lower blood pressure, weight loss medication, or anti-inflammatory or anti-diabetes medications. Participants will be excluded if they are pregnant or planning to become pregnant, lactating, have a diagnosed eating disorder, smoke, have cancer, or report regular exercise.
Prior to study participation, all initially eligible participants will be invited to an informational meeting where the protocols will be explained and written informed consent obtained. Informational meetings will be followed by a screening exam, detailed below, to determine if prospective participants are eligible.
Recruitment
Participants will be recruited by the study staff members using targeted recruitment efforts to meet the demographic goals for participants in this study. Potential participants will be recruited through advertising in the Grand Forks metropolitan area via brochures, online advertisements, newsletters, flyers, expos and trade shows, in addition to the GFHNRC website. The GFHNRC has a decades-long history of successful human research, including feeding trials of 4 to 12 weeks [
50,
51,
52,
53,
54]. Participants will be recruited until 79 have completed all study requirements. Anticipating a 20 percent potential dropout rate, approximately 95 participants will need to be enrolled for 79 participants to complete the study.
Randomization
After study enrollment, participants will randomized into treatment groups stratified by age and sex groups. Randomization will be performed by the trial statistician. Participants will be informed that this study measures the effects of “ultra-processed” and “less-processed” diets on cardiometabolic health but will be blinded to their individual order of diet interventions throughout trial data collection. Researchers will not be blinded to the intervention assignments.
Experimental Protocol
The screening exam includes: 1) anthropometric measurements, 2) resting blood pressure, and a 3) health history questionnaire. After the informational meeting has been conducted and informed consent provided, height, weight, and resting blood pressure will be obtained to ensure eligibility. Anthropometric measurements will be done in bare or socked feet and light clothing. Blood pressure will be taken by trained study staff using the automated ADC ADView 2 Modular Diagnostic Station (American Diagnostic Corporation, Hauppauge, NY). Participants will rest for 5 minutes in a comfortable sitting position (legs uncrossed, back and measurement arm supported). Three measurements will be taken with 2-minute intervals, and the average of these multiple readings will then be calculated and recorded. Individuals meeting anthropomorphic and blood pressure inclusion criteria will be selected to participate in the study. After completing the screening and informed consent, participants will be scheduled for a baseline study visit.
- 2.
Baseline (BL) Study Visit
Baseline diet will be assessed using a series of 3 food diaries completed with the ASA24 Automated Self-Administered Dietary Assessment Tool (ASA24) [
55]. Reflection spectroscopy (RS; Veggie Meter; Longevity Link Corp., Salt Lake City, UT, USA) will be conducted to measure skin carotenoids [
56,
57], and participants will complete the Subjective Happiness Scale (SHS) questionnaire [
58]. A food preparation time questionnaire based on survey questions provided as part of National Health and Nutrition Examination Survey (NHANES) 2007-2010 and using cut-points established by Wolfson et al. will be given at this visit as well [
59]. Dual energy x-ray absorptiometry (DXA) scans will be conducted to determine body composition. Calibration to external standards will be performed prior to each individual scan. Absence of pregnancy will be confirmed in all pre-menopausal women prior the scan. Participants will complete the International Physical Activity Questionnaire [
60], which will be used to calculate their energy requirements in conjunction with the Dietary Reference Intakes for Energy from the National Academies for Science Engineering and Medicine [
61].
- 3.
Phase 1
Participants will be randomized into one of the 2 dietary interventions (UP- HUSDP or LP- HUSDP) for the first four weeks (
Figure 1). Each dietary group will be provided all meals (food and drink, except water) for 4 weeks. Participants will pick up their food Monday-Friday at a time that is convenient for them to promote study adherence. Participants in both groups will receive diets with adequate energy to maintain their baseline weight (as determined by Estimated Energy Requirements from the National Academies for Science Engineering and Medicine [
61]) and instructed to consume all food and beverages provided. Participants will visit the GFHNRC facility once a week throughout the four-week period to have their blood pressure measured, to be weighed, and to address any potential questions or issues with study compliance. Energy will be adjusted to maintain starting weight. A change in body weight of >2 kg that is sustained for 2 consecutive weeks will be used as the criteria for determining when an adjustment in energy level is necessary. At the beginning and end of each Phase, participants will also complete a fasted blood draw as part of the GFHNRC facility visit as well as the SHS (see
Table 4 for analytes and Supplemental Document 4 for explanation and method of analysis for blood samples). Participants will complete a daily dietary compliance questionnaire (Supplemental Document 5) throughout the intervention period, asking if they ate everything provided or anything not provided.
Adherence to the intervention diets will also be assessed with an objective method. In addition to the daily dietary compliance questionnaire, RS measurements [
56,
57] will be performed weekly at facility visits. Participants will be told that RS measures adherence to the diets. Changes in skin carotenoids can be detected with an increase in carotenoid-containing fruit and vegetable intake of only 0.8 cup-equivalents [
62]. This objective measure of compliance also instills a measure of accountability to participants. Each week, participants will also be weighed, another measure of compliance.
- 4.
Washout
Participants will go through a minimum 3-week washout period between diets, a longer period than the 5 day washout used by a previous intervention study (the Dietary Approaches to Stop Hypertension trial, or “DASH”) also with blood pressure as a primary outcome measure [
63]. Participants will also complete (3) 24h food diaries during the second week of the washout period.
- 5.
Phase 2
Participants will then consume the second dietary intervention for 4 weeks (
Figure 1). Besides the change in dietary intervention, Phase 2 will mirror the procedures included in Phase 1.
Statistical Analysis and Data Management Plan
Three endpoints were used to calculate power for this study- fasting glucose, fasting triglycerides, and systolic blood pressure, and the highest participant number from the three measures was selected for the study implementation. Data informing fasting glucose and fasting triglyceride calculations for power calculations come from the Krishnan et al.’s study conducted at the USDA-ARS Western Human Nutrition Research Center, an intervention trial on DGA-adherent diets among women with overweight or obesity [
64]. Data informing systolic blood pressure calculations comes from Zhang et al.’s study assessing blood pressure among Americans with data from NHANES [
65].
Fasting Glucose: The power for this endpoint was calculated via a mean difference in fasting glucose of 1.2 mg/dL at week 4 for the diets with a 100(1-2)% confidence interval contained inside an equivalence region with lower bounds and upper bounds of -5 mg/dL and 5 mg/dL [
66], respectively, with a standard deviation of 10.9 mg/dL, a correlation of 0.5 within subjects, a significance level of = 0.05, and a power of 0.9 yields a total sample size of 79 subjects. This assumes no carryover or period effects as well as no interactions between subjects, diets, and periods.
Fasting Triglycerides: The power for this endpoint was calculated via a mean difference in fasting glucose of 11.1 mg/dL at week 4 for the diets with a 100(1-2)% confidence interval contained inside an equivalence region with lower bounds and upper bounds of -42 mg/dL and 42 mg/dL, respectively, with a standard deviation of 78.8 mg/dL, a correlation of 0.5 within subjects, a significance level of = 0.05, and a power of 0.9 yields a total sample size of 78 subjects. This assumes no carryover or period effects as well as no interactions between subjects, diets, and periods.
Systolic Blood Pressure: The power for this study was calculated via a mean difference in systolic blood pressure of 1 mm Hg at week 4 for the diets with a 100(1-2)% confidence interval contained inside an equivalence region with lower bounds and upper bounds of -5 mm Hg and 5 mm Hg,[
66] respectively, with a standard deviation of 10 mm Hg, a correlation of 0.5 within subjects, a significance level of = 0.05, and a power of 0.9 yields a total sample size of 56 subjects. This assumes no carryover or period effects as well as no interactions between subjects, diets, and periods.
A mean difference of 1 mm Hg is anticipated at week 4 based on NHANES data that indicates most American adults consume 2,745 mg/d of potassium [
65]. Because the intervention diets provided in this study contain an additional 1,000 mg/d potassium above typical intake, a 1 mm Hg difference in blood pressure corresponding with this increase in potassium intake after 4 weeks on each intervention diet is expected [
65].
- b.
Data analysis
The data from this study will be analyzed using a mixed model with all relevant biomarkers as outcomes and fixed effects of diet (UP- HUSDP or LP- HUSDP), week (1, 2, 3, 4; 8, 9, 10, 11), diet x sequence (UP- HUSDP/LP- HUSDP, LP-HUSDP/UP-HUSDP), and phase (1, 2), and a random effect of subject not nested within treatment. The mixed model is used as it can account for missing data and perform intent-to-treat analyses [
67]. If the diet x sequence interaction is significant, a carryover effect is assumed, and a contrast will be written to compare the diets at the first time point. A contrast will be written to compare the diets at the fourth week, and, if the 100(1-2)% confidence interval for the difference is contained completely within the equivalence bounds of -5 to 5 (systolic blood pressure), the null hypotheses of inferiority and superiority two one-sided tests are rejected.
Age, percentage body fat, baseline UPF intake, baseline diet quality as determined from ASA24 analysis, and hypertension stage (normal or Stage I) will be evaluated as potential covariates of systolic blood pressure as will RS measurements.
- c.
Data monitoring and management
Data entry will be conducted separately by two study staff members to ensure data quality. Due to low risk of adverse events from participation in this study, a data monitoring committee will not be established. For data retention, the GFHNRC current practices will be followed. That is, any hard copy data records will be stored for a minimum of three years from the time the study is completed. Electronic data records will be maintained for a period of at least five years after the study has been completed. Any paper records generated from this study will be accessible only by research personnel and will be kept locked and secure storage. Computer files will be accessible only by research personnel and protected by passwords and encryption. Data transfer conducted electronically will be through secure email and encrypted external storage. All active servers are managed and backed up daily by the USDA Information Technology. Data is available to study personnel throughout the duration of the study on the GFHNRC’s Center Automated Research System, a secure database established specifically to house data from human studies conducted at the GFHNRC. Any shared data will be de-identified.
Discussion
Overall, DGA-UP will help clarify the utility of Nova and the UPF label to define healthful dietary patterns, a gap in the literature identified by the 2023 Research Roadmap [
13]. One of the few differences between the two interventions (UP-HUSDP and LP-HUSDP) is the number and nature of additives in the foods and beverages provided in the menus. The foods and beverages in UP-HUSDP have 76 ingredients and additives (Supplemental Document 6) from calcium disodium EDTA to dextrose to sucralose not present in the LP-HUSDP. While the menus look identical in most respects, the food formulations indicate clear distinctions. Pilot testing of the menu indicates that the menus taste similar as well. The similarities in appearance and taste between the two diets will allow participants to be blinded as to the current arm of the trial they are in, an important strength of this trial.
UP-HUSDP and LP-HUSDP were developed from the same base menu with differences between the two menus arising only from the Nova classification of the ingredients used to make the meals. For instance, the whole grain bread on the LP-HUSDP is homemade wheat bread, while the wheat bread on the UP-HUSDP is mass-produced. As another example, some meals in DGA-UP include 100% fruit juice since the 2020 DGA recognizes 100% fruit juice as an item that can provide a serving of fruit [
47]. Both the LP-HUSDP and the UP-HUSDP include 100% fruit juices. However, the 100% fruit juice in the UP-HUSDP includes “cosmetic additives” (natural flavors, citric acid) that make it a UPF while the 100% fruit juice in the LP-HUSDP lists 100% fruit juice as its sole ingredient, a Nova Group 1 food. The menus are matched in food type and preparation, so the food textures are identical in nearly all meals, a factor that can affect eating rate and satiety [
68,
69]. Importantly, the energy density of the two menus is matched as well (1.0 kcal/g after rounding). UPFs do not necessarily have higher energy density than “less-processed” foods as defined by the Nova classification system [
20]. Furthermore, the menus on DGA-UP will not be provided
ad libitum, and participants will be actively monitored to confirm that they do not gain or lose weight throughout the intervention, ensuring that changes in cardiometabolic health markers are not due to weight fluctuations.
Other strengths of this trial include the use of DXA to measure body composition and the intervention duration. DXA is an established method for evaluating adiposity [
70] that has been used by only one of the other RCTs comparing more- and less-processed menus [
19]. The four-week duration of the trial was selected based on past research that indicates that four weeks is a sufficient intervention duration to obtain differences in blood pressure and is a commonly used intervention duration for this primary endpoint [
71,
72,
73,
74,
75,
76]. Four weeks is also a sufficient timeframe to detect changes in fasting glucose and insulin [
77,
78,
79,
80] and changes in the lipoprotein panel measures [
81,
82,
83,
84,
85,
86,
87,
88,
89].
While a dietary intervention among a free-living population will be an important strength of this trial, the “free-living” situation also limits participant monitoring. This study may provide a more realistic assessment of how eating or not eating a UPF-rich diet affects health markers when integrated into regular life, but conducting the study outside of an inpatient setting prohibits strict monitoring of food and beverage consumption and eating intake patterns such as eating rate and eating frequency. Participants will receive instructions about menu additions to avoid throughout the interventions, however, despite these instructions, participants may add UPF items to the less processed menu such as diet sodas or seltzer waters or add salt or fat to the provided meals with butter, sugar, or sodium-containing seasonings. The research staff will monitor study compliance with daily questionnaires and weekly face-to-face meetings. Participants will be reminded often that truthfulness is valued over “perfection.”
The most challenging limitation of this study is the frequent formulation changes of foods and beverages by manufacturers. Some products selected for the UP-HUSDP may become “processed” (Group 3) foods during the duration of the trial if certain ingredients or additives are removed or replaced and some products on the LP-HUSDP may become “ultra-processed” if certain ingredients or additives are added. Additionally, manufacturers sometimes discontinue products as well. Since beginning to track UPFs in 2022, we have identified changes to approximately 5% of products in our UPF database, inclusive of both discontinuations and formulation changes. Any of these changes to items on the LP-HUSDP or UP-HUSDP will disrupt the study menu and require revisions to one or both menus for future participants. To mitigate the impact of formulation changes, the ingredient contents of both menus will be reviewed on a regular basis and changes made as needed to ensure the UP-HUSDP contains mostly energy from Nova Group 4 foods and the LP-HUSDP contains only foods that fit into Nova Groups 1, 2, and 3.
Overall, the DGA-UP trial will advance research on food classification by processing, providing insight into whether additives and ingredients not commonly used in home cooking affect cardiometabolic health outcomes when fed as part of a healthy dietary pattern to generally healthy adults.
Dissemination
Results of this study will be disseminated through a series of peer-reviewed publications as well as presentations to the research community, health care professionals, policymakers, and the public. Following the acceptance of study data for initial publication in a peer-reviewed journal, de-identified participant data will be stored and made available to other researchers via an online data repository (Open Science Framework).
Contributions
JMH designed research, JMH and CJP wrote first draft, and all authors reviewed, edited, and approved the final manuscript
Financial Support
Supported by USDA Agricultural Research Service project grant # 3062-10700-003-00D.
Declaration of Interests
JMH, CJP, AJS, SC, and DGP declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
JS has received research support from Taiyo and Barilla, serves on scientific advisory boards for Simply Good Foods, Sustainable Nutrition, Olipop, Kenvue, and the Institute for the Advancement of Food and Nutrition Science (IAFNS). JS also owns Slavin Sisters Farm LLC, a 119-acre mixed-use family farm in Walworth, WI.
Acknowledgements
We thank Mary Jo Peltier and Deb Sauve for their work in developing the study menus. And we thank evaluators who reviewed all menu items for Nova classifications and ability to be included in the Dietary Guidelines for Americans. Finally, we thank all the participants who will be involved in this study.
List of Abbreviations
2020-2025 Dietary Guidelines for Americans (2020 DGA)
2025-2030 Dietary Guidelines Advisory Committee (DGAC)
ASA24 Automated Self-Administered Dietary Assessment Tool (ASA24)
Baseline (BL)
Body mass index (BMI)
Complete Blood Count (CBC)
Dietary Approaches to Stop Hypertension (DASH)
Dietary Guidelines for Americans with Ultra-Processed foods (DGA-UP)
Dual energy x-ray absorptiometry (DXA)
Food and Nutrient Database for Dietary Studies (FNDDS)
Grand Forks Human Nutrition Research Center (GFHNRC)
Healthy U.S. Style Dietary Pattern (HUSDP)
Healthy Eating Index-2020 (HEI-2020)
High-density lipoprotein cholesterol (HDL-C)
High sensitivity C-reactive protein (hs-CRP)
Less-processed HUSDP (LP- HUSDP)
Low-density lipoprotein cholesterol (LDL-C)
National Health and Nutrition Examination Survey (NHANES)
Randomized controlled trial (RCT)
Reflection spectroscopy (RS)
Screening (S)
Subjective happiness scale (SHS)
Ultra-processed HUSDP (UP-HUSDP)
Ultra-processed food (UPF)
United Kingdom (UK)
U.S. Department of Agriculture- Agricultural Research Service (USDA-ARS)
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