Measurement Error Affecting Web- and Paper-Based Dietary Assessment Instruments: Insights From the Multi-Cohort Eating and Activity Study for Understanding Reporting Error

Estimated human intake of endogenous and exogenous hormones from beef in the United States

BACKGROUND

Endogenous and exogenous hormones may be present in beef. Human consumption of hormones has been linked to adverse health effects.

OBJECTIVE

To estimate daily intake of hormonal growth promotants (HGP) from beef consumed by the US population.

METHODS

We combined self-reported beef consumption information from a nationally-representative survey with concentrations of 12 HGP measured in 397 samples of retail beef/fat purchased in California. We defined typical, high, and maximum intake scenarios assuming self-reported consumed beef contained the mean, 95th percentile, and maximum concentrations of each HGP, respectively. We estimated distributions of usual (i.e., long-term) daily intake and short-term daily intake (µg/kg/day). We calculated the hazard quotient (HQ), or ratio of estimated intake to the World Health Organization's acceptable daily intake (ADI) for the HGP.

RESULTS

The highest estimated HQs were found for melengestrol acetate (MGA). For usual daily intake under the typical intake scenario, no HQ exceeded 0.02 (0.00047 µg MGA/kg/day). Under the maximum intake scenario, the highest HQ was 0.29 (0.0087 µg MGA/kg/day), corresponding to the 99th percentile of intake among young boys (ages 1-5). The highest short-term intake estimates for MGA under the maximum intake scenario were the 99th percentile of intake among young girls and boys, which equaled (HQ = 1.00) or exceeded (HQ = 1.29) the ADI for MGA, respectively.

IMPACT

Hormonal growth promotants (HGP) are used to increase beef production and have been linked to adverse reproductive effects. We estimated daily intake of MGA and several other HGP using US nationally-representative beef consumption data collected between 2015-2018 and HGP concentrations in retail beef. Estimated intake was highest for young children, but estimates were generally very low compared to current health-based intake limits. However, these limits are typically based on studies in adult animals, and further study of potential adverse effects during sensitive developmental periods, such as in early life, may be warranted to ensure recommended intake limits are health-protective.

Trends in Reported Calcium and Magnesium Intake from Diet and Supplements by Demographic Factors: National Health and Nutrition Examination Survey, 2003-2018

BACKGROUND

Calcium and magnesium are important micronutrients necessary for normal body functioning.

OBJECTIVE

The objective of the study was to approximate usual nutrient intakes and estimate proportion of adults meeting the Estimated Average Requirement (EAR) of calcium and magnesium from diet, and diet plus supplements (total intake). Trends in the proportion of adults meeting the EAR were estimated by sex, age, and race and ethnicity.

DESIGN

The study utilized data from the National Health and Nutrition Examination Survey, a cross-sectional survey of a nationally representative sample of the US civilian and noninstitutionalized population.

PARTICIPANTS AND SETTING

The continuous National Health and Nutrition Examination Survey survey data from 2003-2004 through 2017-2018 for dietary intake, and 2007-2008 through 2017-2018 for total intake were analyzed. The study sample included men and women (not lactating/pregnant) ages 19 years and older with 2 reliable 24-hour dietary recalls and energy intake >500 to <6,000 kcal/day (N = 35 037).

MAIN OUTCOME MEASURES

Mean daily intake and trends of proportion of adults meeting/exceeding the EAR for calcium and magnesium were estimated.

STATISTICAL ANALYSES PERFORMED

The National Cancer Institute's method was used to calculate daily intakes for calcium and magnesium by demographic subgroups. SAS SURVEYMEAN and SURVEYFREQ procedures were used to estimate means ± SE for continuous variables and frequencies and percentages for categorical variables, and 2-sample t test for P values. Trends were estimated with National Cancer Institute's Joinpoint trend analysis program.

RESULTS

Mean daily dietary calcium intake and proportions of adults meeting the EAR from both diet and supplements was lowest among women (859 mg [61.9%]), adults ages 71 years and older (865 mg [60.3%]) and non-Hispanic Black individuals (782 mg [48.6%]) compared with men, younger age groups, and other races and ethnicities. Magnesium intake reported from diet was lowest in adults ages 71 years and older (276 mg), whereas total magnesium intake and proportion of meeting the EAR from both diet and supplements was lowest in women (302 mg) and men (52%), respectively, adults ages 19 to 30 years (305 mg [48.5%]), and non-Hispanic Black individuals (274 mg [35.5%]). The trends in the proportion of women and non-Hispanic White adults meeting the EAR from total calcium intake decreased significantly (P < .05) by 2.9% and 2.0%, respectively.

CONCLUSIONS

Women and adults ages 71 years and older had the lowest reported mean daily dietary calcium intake and proportion meeting the EAR for calcium from diet and supplements. Men and adults ages 19 to 30 years had the lowest proportion meeting the EAR for magnesium from diet and supplements with adults ages 19 to 30 years also having the lowest reported total magnesium intake from diet and supplements. Non-Hispanic Black individuals had the lowest proportion of meeting the EARs for calcium and magnesium from reported total intake. The trends in the proportion of women and non-Hispanic White individuals meeting the EARs for calcium through total intake decreased over time and remained stable in other subpopulations and for magnesium.

Acid accumulation is associated with metabolic alterations; higher energy, fat, and protein intake; and energy expenditure

OBJECTIVE

The objective of this study was to study how acid accumulation (lower plasma bicarbonate and higher anion gap [AG] and corrected anion gap [CAG]) correlates with metabolic parameters, food intake, and 24-h energy expenditure (EE).

METHODS

Acid accumulation was measured in 286 healthy adults with estimated glomerular filtration rate > 60 mL/min/1.73 m2. Measurements included body composition by dual-energy x-ray absorptiometry scan, ad libitum energy intake by a vending machine paradigm over 3 days, and 24-h EE in a whole-room indirect calorimeter.

RESULTS

Lower bicarbonate, higher AG, and higher CAG were correlated with higher waist and thigh circumferences, body fat (percentage), fat mass, triglycerides, and lower high-density lipoprotein cholesterol. Acid accumulation markers were correlated with higher total energy (CAG partial r = 0.17; p = 0.02), fat (CAG partial r = 0.17; p = 0.02), protein intake (CAG partial r = 0.20; p = 0.006), and 24-h EE (CAG partial r = 0.24; p = 0.0007). A mediation analysis of CAG and total energy intake found that 24-h EE was a partial mediator (40%), but the association remained significant (β = 0.15; p < 0.0001).

CONCLUSIONS

In healthy individuals, acid accumulation was associated with an unfavorable metabolic phenotype; higher 24-h EE; and increased total energy, fat, and protein intake. Acid accumulation markers, as putative markers of higher dietary acid load (e.g., from protein), may affect energy balance physiology promoting weight gain.

Digital Food Frequency Questionnaire Assessing Adherence to the Norwegian Food-Based Dietary Guidelines and Other National Lifestyle Recommendations: Instrument Validation Study

BACKGROUND

Valid assessment tools are needed when investigating adherence to national dietary and lifestyle guidelines.

OBJECTIVE

The relative validity of the new digital food frequency questionnaire, the DIGIKOST-FFQ, against 7-day weighed food records and activity sensors was investigated.

METHODS

In total, 77 participants were included in the validation study and completed the DIGIKOST-FFQ and the weighed food record, and of these, 56 (73%) also used the activity sensors. The DIGIKOST-FFQ estimates the intake of foods according to the Norwegian food-based dietary guidelines (FBDGs) in addition to lifestyle factors.

RESULTS

At the group level, the DIGIKOST-FFQ showed good validity in estimating intakes according to the Norwegian FBDG. The median differences were small and well below portion sizes for all foods except "water" (median difference 230 g/day). The DIGIKOST-FFQ was able to rank individual intakes for all foods (r=0.2-0.7). However, ranking estimates of vegetable intakes should be interpreted with caution. Between 69% and 88% of the participants were classified into the same or adjacent quartile for foods and between 71% and 82% for different activity intensities. The Bland-Altman plots showed acceptable agreements between DIGIKOST-FFQ and the reference methods. The absolute amount of time in "moderate to vigorous intensity" was underestimated with the DIGIKOST-FFQ. However, estimated time in "moderate to vigorous intensity," "vigorous intensity," and "sedentary time" showed acceptable correlations and good agreement between the methods. The DIGIKOST-FFQ was able to identify adherence to the Norwegian FBDG and physical activity recommendations.

CONCLUSIONS

The DIGIKOST-FFQ gave valid estimates of dietary intakes and was able to identify individuals with different degrees of adherence to the Norwegian FBDG and physical activity recommendations. Moderate physical activity was underreported, water was overreported, and vegetables showed poor correlation, which are important to consider when interpreting the data. Good agreement was observed between the methods in estimating dietary intakes and time in "moderate to vigorous physical activity," "sedentary time," and "sleep."

Twenty-Four-Hour Urinary Sugars Biomarker in a Vending Machine Intake Paradigm in a Diverse Population

Accurately measuring dietary sugars intake in large-scale epidemiological studies is necessary to understand dietary sugars' true impact on health. Researchers have developed a biomarker that can be used to assess total sugars intake. Our objective is to test this biomarker in diverse populations using an ad libitum intake protocol. Healthy adult participants (n = 63; 58% Indigenous Americans/Alaska Natives; 60% male; BMI (mean ± SD) = 30.6 ± 7.6 kg.m2) were admitted for a 10-day inpatient stay. On day 2, body composition was measured by DXA, and over the last 3 days, ad libitum dietary intake was measured using a validated vending machine paradigm. Over the same days, participants collected daily 24 h urine used to measure sucrose and fructose. The 24 h urinary sucrose and fructose biomarker (24hruSF) (mg/d) represents the sum of 24 h urinary sucrose and fructose excretion levels. The association between the 3-day mean total sugars intake and log 24uSF level was assessed using the Pearson correlation. A linear mixed model regressing log-biomarker on total sugars intake was used to investigate further the association between biomarker, diet, and other covariates. Mean (S.D.) total sugars intake for the group was 197.7 g/d (78.9). Log 24uSF biomarker was moderately correlated with total sugars intake (r = 0.33, p = 0.01). In stratified analyses, the correlation was strongest in females (r = 0.45, p = 0.028), the 18-30 age group (r = 0.44, p = 0.079), Indigenous Americans (r = 0.51, p = 0.0023), and the normal BMI category (r = 0.66, p = 0.027). The model adjusted for sex, age, body fat percent, and race/ethnicity demonstrated a statistically significant association between 24uSF and total sugars intake (β = 0.0027, p < 0.0001) and explained 31% of 24uSF variance (marginal R2 = 0.31). Our results demonstrated a significant relationship between total sugars intake and the 24uSF biomarker in this diverse population. However, the results were not as strong as those of controlled feeding studies that investigated this biomarker.

Nutritional intake, environmental factors, and their impact on myopia prevalence in Korean children aged 5-12 years

BACKGROUND

Myopia is a complex condition influenced by numerous factors, including genetic predisposition, environmental factors, and lifestyle choices. Although evidence indicates that certain dietary factors may influence the development of myopia, this relationship is still not completely understood and is a topic of ongoing research.

METHODS

This study analyzed the relationship between dietary habits, environmental factors, and the prevalence of myopia in a sample of 24,345 children aged 5-12 years from the seventh Korea National Health and Nutrition Examination Survey (KNHANES VII). The average daily intake of dietary nutrients associated with the refractive error status of the participants was analyzed using analysis of variance (GLM) and the Scheffe method for post-hoc comparison. Multiple logistic regression analysis was conducted between the participant's refractive error status and daily dietary nutrient intake, while taking into consideration the age, sex, BMI, parental myopia, and near-work hours.

RESULTS

The risk of myopia increased with age, especially notable between ages 11 and 12, and was higher in children with both parents having myopia. Dietary factors played a crucial role; children with myopia had significantly lower intake of fat, omega-3 fatty acids, and retinol but higher intake of other nutrients compared to emmetropic and hyperopic counterparts. High consumption of carbohydrates, protein, phosphorus, iron, potassium, and sodium was associated with increased myopia risk. High sodium intake was particularly associated with a 2.05-fold increased myopia risk.

CONCLUSIONS

This study highlights the significant role of diet and lifestyle choices in the development of myopia in children. Our findings suggest the importance of considering these specific factors in the management and prevention strategies for myopia, underscoring the need for targeted interventions in children's health and vision care.

Development of a Multilingual Web-Based Food Frequency Questionnaire for Adults in Switzerland

Dietary assessment is a major challenge in epidemiological research and is associated with a high time and financial burden. Automated food frequency questionnaires (FFQs) have the potential to rapidly collect dietary intake data in large studies while reducing human error risk during data processing. We developed a semiquantitative, multilingual, electronic FFQ for real-time dietary intake assessment in the Swiss adult population, called "Swiss eFFQ". The iterative development process involved stages of content identification, construction, pretesting, translation, and adaptation of the FFQ. Using 24 h dietary recalls from 2085 participants aged 18-75 years from a nationally representative survey, we conducted a stepwise regression analysis to identify foods contributing to >90% of the variance in intakes of energy and six nutrients. All 118 foods identified in the overall cohort or in any of the Swiss linguistic regions were selected and standardized to define the comprehensive 83-item food list, covering >90% of the intake of key nutrients in the entire study population. Once validated, the Swiss eFFQ can be used to classify individuals based on their habitual diets. The methodology described in this paper enhances the transparency of the Swiss eFFQ and may help researchers to develop multilingual dietary assessment tools for other populations.

Validation of Total Water Intake from the Automated Self-Administered 24-h Recall, 4-d Food Records, and a Food Frequency Questionnaire Using Doubly Labeled Water

BACKGROUND

Although prior evidence indicates that water intake is important for health, the ability to accurately measure community-dwelling intake is limited. Only a few studies have evaluated self-reported water intake against an objective recovery biomarker.

OBJECTIVES

The aim was to compare preformed water intakes (all sources including food) by multiple Automated Self-Administered 24-h recalls (ASA24s), food frequency questionnaires (FFQs), and 4-d food records (4DFRs) against a recovery biomarker, doubly labeled water (DLW), to assess measurement error.

METHODS

Over 1 y, 1082 women and men (50%), aged 50 to 74 y, were asked to complete 6 ASA24s, 2 FFQs, 2 unweighted 4DFRs, and an administration of DLW (n = 686). Geometric means of water intake by self-report tools were compared with DLW. Attenuation factors and correlation coefficients between self-reported and the recovery biomarker (DLW) were estimated.

RESULTS

Mean water intakes by DLW were 2777 mL/d (interquartile range, 2350 to 3331) in women and 3243 mL/d (interquartile range, 2720 to 3838) in men. Compared with DLW, water intake was underestimated by 18% to 31% on ASA24s and 43% to 44% on 4DFRs. Estimated geometric means from FFQs differed from DLW by -1% to +13%. For a single ASA24, FFQ, and 4DFR, attenuation factors were 0.28, 0.27, and 0.32 and correlation coefficients were 0.46, 0.48, and 0.49, respectively. Repeated use of 6 ASA24s, 2 FFQs, and 2 4DFRs improved attenuation factors to 0.43, 0.32, and 0.39 and correlation coefficients to 0.58, 0.53, and 0.54, respectively.

CONCLUSIONS

FFQs may better estimate population means for usual water intake compared with ASA24 and 4DFR. Similar attenuation factors and correlation coefficients across all self-report tools indicate that researchers have 3 feasible options if the goal is understanding intake-disease relationships. The findings are useful for planning future nutrition studies that set policy priorities for populations and to understand the health impact of water. This trial was registered at clinicaltrials.gov as NCT03268577.

Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm

BACKGROUND

Food frequency questionnaires (FFQs) are one of the most useful tools for studying and understanding diet-disease relationships. However, because FFQs are self-reported data, they are susceptible to response bias, social desirability bias, and misclassification. Currently, several methods have been created to combat these issues by modelling the measurement error in diet-disease relationships.

METHOD

In this paper, a novel machine learning method is proposed to adjust for measurement error found in misreported data by using a random forest (RF) classifier to label the responses in the FFQ based on the input dataset and creating an algorithm that adjusts the measurement error. We demonstrate this method by addressing underreporting in selected FFQ responses.

RESULT

According to the results, we have high model accuracies ranging from 78% to 92% in participant collected data and 88% in simulated data.

CONCLUSION

This shows that our proposed method of using a RF classifier and an error adjustment algorithm is efficient to correct most of the underreported entries in the FFQ dataset and could be used independent of diet-disease models. This could help nutrition researchers and other experts to use dietary data estimated by FFQs with less measurement error and create models from the data with minimal noise.

An epidemiological introduction to human metabolomic investigations

Metabolomics holds great promise for uncovering insights around biological processes impacting disease in human epidemiological studies. Metabolites can be measured across biological samples, including plasma, serum, saliva, urine, stool, and whole organs and tissues, offering a means to characterize metabolic processes relevant to disease etiology and traits of interest. Metabolomic epidemiology studies face unique challenges, such as identifying metabolites from targeted and untargeted assays, defining standards for quality control, harmonizing results across platforms that often capture different metabolites, and developing statistical methods for high-dimensional and correlated metabolomic data. In this review, we introduce metabolomic epidemiology to the broader scientific community, discuss opportunities and challenges presented by these studies, and highlight emerging innovations that hold promise to uncover new biological insights.

Assessment of the validity of a sedentary behavior questionnaire among university students from low-income regions

Introduction

Introduction: to reduce the prevalence of overweight and obesity, lifestyle interventions, particularly in nutritional education programs, should be prioritized among university students. Monitoring sedentary behavior is an important step toward preventing and controlling obesity. Therefore, we assessed the reliability and validity of an online questionnaire on sedentary behavior among university students from low-income regions. Methods: this cross-sectional methodological feasibility study evaluated the psychometric properties of the South American Youth/Child Cardiovascular and Environmental (SAYCARE) questionnaire. We administered this questionnaire in an online format to 195 and 117 university students (aged between 17 and 53 years) to assess its validity and reliability, respectively. The questionnaire measures the daily time spent watching TV, playing electronic games, using a computer, studying and passive commuting on weekdays and weekends. The questionnaire involved two stages (Q1 and Q2) separated by an interval of 2 weeks. Reliability was assessed using Spearman's correlation analysis. The structural validity of the construct was evaluated by exploratory factor analysis. Results: all variables showed acceptable reliability (Spearman's rho > 0.30 and p < 0.05). Regarding construct structural validity, the exploratory factor analysis identified 4 factors (variance explained: 71.4 %) and did not exclude any items. Conclusion: the online SAYCARE questionnaire exhibited acceptable reliability and structural validity for assessing sedentary behavior among university students from low-income regions.

Development of the Canadian Food Intake Screener to assess alignment of adults' dietary intake with the 2019 Canada's Food Guide healthy food choices recommendations

NOVELTY

The Canadian Food Intake Screener was developed to rapidly assess alignment of adults' dietary intake over the past month with the Food Guide's healthy food choices recommendations. The screener was developed and evaluated through an iterative process that included three rounds of cognitive interviews in each of English and French, along with ongoing feedback from external advisors and face and content validity testing with a separate panel of content experts. The 16-question screener is intended for use with adults, aged 18-65 years, with marginal and higher health literacy in research and surveillance contexts in which comprehensive dietary assessment is not possible.

Association of Diet Quality with Metabolic (Dysfunction) Associated Fatty Liver Disease in Veterans in Primary Care

BACKGROUND

Diet is associated with metabolic (dysfunction)-associated fatty liver disease (MAFLD), but the dietary composition associated with MAFLD risk has not been well-examined.

AIM

The purpose of this study was to assess the association of two healthy eating indices with the presence and severity of MAFLD in a sample of Veterans in a primary care setting.

METHODS

This was a single center cross-sectional study using a random stratified sample of Veterans enrolled in primary care. Participants underwent a Fibroscan and completed an interviewer-administered Diet History Questionnaire II from which we calculated the Healthy Eating Index-2015 and Alternate Mediterranean Diet Score. We used multivariable logistic regression models to assess associations of dietary quality with MAFLD.

RESULTS

We analyzed data from 187 participants, 53.5% of whom were female. On average, participants were 50.2 years of age (SD, 12.3 years) with an average BMI of 31.7 kg/m2. MAFLD was detected in 78 (42%) and at least moderate fibrosis in 12 (6%) participants. We found that the Alternate Mediterranean Diet Score was inversely associated with MAFLD (adjusted OR = 0.85, 95%CI 0.72-1.00), but controlling for BMI and total energy intake attenuated the association (adjusted OR = 0.92, 95%CI 0.74-1.15). We found no statistically significant associations between the Healthy Eating Index-2015 and MAFLD or advanced fibrosis.

DISCUSSION

We found that the Alternate Mediterranean Diet Score was significantly associated with lower MAFLD risk in Veterans; however, the association was mediated by BMI and total energy intake. A Mediterranean-style diet could potentially help reduce the risk of MAFLD, particularly if it helps control total energy intake and weight.

The role of dietary salt in metabolism and energy balance: Insights beyond cardiovascular disease

Dietary salt (NaCl) is essential to an organism's survival. However, today's diets are dominated by excessive salt intake, which significantly impacts individual and population health. High salt intake is closely linked to cardiovascular disease (CVD), especially hypertension, through a number of well-studied mechanisms. Emerging evidence indicates that salt overconsumption may also be associated with metabolic disorders. In this review, we first summarize recent updates on the mechanisms of salt-induced CVD, the effects of salt reduction and the use of salt substitution as a therapy. Next, we focus on how high salt intake can impact metabolism and energy balance, describing the mechanisms through which this occurs, including leptin resistance, the overproduction of fructose and ghrelin, insulin resistance and altered hormonal factors. A further influence on metabolism worth noting is the reported role of salt in inducing thermogenesis and increasing body temperature, leading to an increase in energy expenditure. While this result could be viewed as a positive metabolic effect because it promotes a negative energy balance to combat obesity, caution must be taken with this frame of thinking given the deleterious consequences of chronic high salt intake on cardiovascular health. Nevertheless, this review highlights the importance of salt as a noncaloric nutrient in regulating whole-body energy homeostasis. Through this review, we hope to provide a scientific framework for future studies to systematically address the metabolic impacts of dietary salt and salt replacement treatments. In addition, we hope to form a foundation for future clinical trials to explore how these salt-induced metabolic changes impact obesity development and progression, and to elucidate the regulatory mechanisms that drive these changes, with the aim of developing novel therapeutics for obesity and CVD.

Enhancing Capacity for Food and Nutrient Intake Assessment in Population Sciences Research

Nutrition influences health throughout the life course. Good nutrition increases the probability of good pregnancy outcomes, proper childhood development, and healthy aging, and it lowers the probability of developing common diet-related chronic diseases, including obesity, cardiovascular disease, cancer, and type 2 diabetes. Despite the importance of diet and health, studying these exposures is among the most challenging in population sciences research. US and global food supplies are complex; eating patterns have shifted such that half of meals are eaten away from home, and there are thousands of food ingredients with myriad combinations. These complexities make dietary assessment and links to health challenging both for population sciences research and for public health policy and practice. Furthermore, most studies evaluating nutrition and health usually rely on self-report instruments prone to random and systematic measurement error. Scientific advances involve developing nutritional biomarkers and then applying these biomarkers as stand-alone nutritional exposures or for calibrating self-reports using specialized statistics.

Changes in Meal and Menu Quality at Early Care and Education Programs after Training with Food Service Staff: the FRESH Study

Background

Prevalence of obesity in Native American (NA) children is disproportionately high, indicating a higher risk of health disparities. Many children attend early care and education (ECE) programs, presenting an opportune environment to improve meal and menu quality as the intake of healthy foods is associated with lowered risk of childhood obesity.

Objectives

We aimed to examine the effectiveness of food service staff training on meals and menu quality across NA ECEs.

Methods

Food service staff from 9 participating ECE programs attended a 3-h training focused on Child and Adult Care Food Program (CACFP) best practices, and received a tailored, best-practice menu, and healthy recipes. Meals and menus prepared across 1 wk were examined per CACFP serving size assumptions at baseline, 4 mos, 6 mos, and 12 mos for all 9 programs. Healthy Eating Index (HEI), CACFP requirements and best practices achievement, and food substitutions quality (classified into superior, equivalent, and inferior based on the nutritional quality) were calculated. A repeated measures ANOVA model was used to determine the differences across time points.

Results

The total meal HEI score increased significantly from baseline to 4 mos (71.1 ± 2.1; 78.6 ± 5.0; P = 0.004), but did not differ from baseline to 12 mos. Menu CACFP requirements and best practices achievement did not differ across time points, although achievement with CACFP requirements was already high at baseline. Superior nutrition quality substitutions declined from baseline to 6 mos (32.4 ± 8.9; 19.5 ± 10.9; P = 0.007); however, it did not differ from baseline to 12 mos. Equivalent and inferior quality substitutions did not differ across time points.

Conclusions

Implementing a best-practice menu with healthy recipes showed immediate improvements in meal quality. Although the change did not sustain, this study showed evidence of an opportunity to educate and train food service staff. Robust efforts are needed for improving both meals and menus.This trial was registered ClinicalTrials.gov as NCT03251950 (https://clinicaltrials.gov/ct2/show/NCT03251950?cond=food+resource+equity&draw=2&rank=1).