Construct validity and reliability of the Canadian Eating Practices Screener to assess eating practices based on 2019 Canada's Food Guide recommendations.

For the first time since its introduction, the 2019 Canada's Food Guide (2019-CFG) highlighted specific guidance on eating practices, i.e., recommendations on where, when, why, and how to eat. The Canadian Eating Practices Screener / Questionnaire court canadien sur les pratiques alimentaires was developed to assess eating practices based on the 2019-CFG healthy eating recommendations. The objective of this cross-sectional study was to assess the construct validity and reliability of the Canadian Eating Practices Screener. From July to December 2021, adults (n = 154) aged 18-65 years completed a sociodemographic questionnaire and the screener. Construct validity was assessed by examining variability in screener scores, by comparing screener scores among subgroups with hypothesized differences in eating practices, and by examining the correlation between screener scores and fruit and vegetable intake. Reliability, i.e., internal consistency, was assessed by calculating Cronbach's coefficient alpha. Screener item scores were summed to provide a total score ranging from 21 to 105. The mean screener score was 76 (SD = 8.4; maximum, 105), ranging from 53 (1st percentile) to 92 (99th percentile). Differences in total scores in hypothesized directions were observed by age (p = 0.006), perceived income adequacy (p = 0.09), educational attainment (p = 0.002), and smoking status (p = 0.09), but not by gender or health literacy level. The correlation between screener scores and fruit and vegetable intake was 0.29 (p = 0.002). The Cronbach's coefficient alpha was 0.79, suggesting acceptable to high internal consistency. Study findings provide preliminary evidence of the screener's construct validity and reliability, supporting its use to assess eating practices based on the 2019-CFG healthy eating recommendations.

Effectiveness of Expanded Food and Nutrition Education Program in Changing Nutrition-Related Outcomes Among Adults With Low Income: A Systematic Review.

OBJECTIVE: To review the effect of the Expanded Food and Nutrition Education Program (EFNEP) in changing nutrition-related outcomes. METHODS: Relevant research conducted before December 2020 was identified using PubMed, Web of Science, Google Scholar, and the EFNEP Research Database. The methodological quality of each eligible study was assessed. RESULTS: Of the 406 studies found, 30 were eligible; 26 studies were on EFNEP, and 4 included both EFNEP and Supplemental Nutrition Assistance Program Nutrition Education (SNAP-Ed). The sample sizes ranged from 35 to 122,961. Outcome measures included consumption of food groups, nutrients, other nutrition-related behaviors, and food security. At least 1 immediate behavior change (P < 0.05) was reported in each study, but long-term maintenance of behavior change was not evident. DISCUSSION: This review found a consistent, immediate improvement in nutrition behaviors after program participation but poor retention over time. Overall, variation in programming and outcome measures, incomplete reporting, and generally low study quality by modern standards precluded strong conclusions. IMPLICATIONS FOR RESEARCH AND PRACTICE: This review identified the need for control groups, improved reporting of program protocols, theory-based curriculum, and measurement of long-term outcomes.

Association of food insecurity with dietary intakes and nutritional biomarkers among US children, National Health and Nutrition Examination Survey (NHANES) 2011-2016.

BACKGROUND: Food insecurity is associated with poorer nutrient intakes from food sources and lower dietary supplement use. However, its association with total usual nutrient intakes, inclusive of dietary supplements, and biomarkers of nutritional status among US children remains unknown. OBJECTIVE: The objective was to assess total usual nutrient intakes, Healthy Eating Index-2015 (HEI-2015) scores, and nutritional biomarkers by food security status, sex, and age among US children. METHODS: Cross-sectional data from 9147 children aged 1-18 y from the 2011-2016 NHANES were analyzed. Usual energy and total nutrient intakes and HEI-2015 scores were estimated using the National Cancer Institute method from 24-h dietary recalls. RESULTS: Overall diet quality was poor, and intakes of sodium, added sugars, and saturated fat were higher than recommended limits, regardless of food security status. Food-insecure girls and boys were at higher risk of inadequate intakes for vitamin D and magnesium, and girls also had higher risk for inadequate calcium intakes compared with their food-secure counterparts, when total intakes were examined. Choline intakes of food-insecure children were less likely to meet the adequate intake than those of their food-secure peers. No differences by food security status were noted for folate, vitamin C, iron, zinc, potassium, and sodium intakes. Food-insecure adolescent girls aged 14-18 y were at higher risk of micronutrient inadequacies than any other subgroup, with 92.8% (SE: 3.6%) at risk of inadequate intakes for vitamin D. No differences in biomarkers for vitamin D, folate, iron, and zinc were observed by food security status. The prevalence of iron deficiency was 12.7% in food-secure and 12.0% in food-insecure adolescent girls. CONCLUSIONS: Food insecurity was associated with compromised intake of some micronutrients, especially among adolescent girls. These results highlight a need for targeted interventions to improve children's overall diet quality, including the reduction of specific nutrient inadequacies, especially among food-insecure children. This study was registered at clinicaltrials.gov as NCT03400436.

Positive Change in Healthy Eating Scores Among Adults With Low Income After Expanded Food and Nutrition Education Program Participation.

OBJECTIVE: Using 24-hour dietary recalls, compare Healthy Eating Index (HEI)-2005 scores of Expanded Food and Nutrition Education Program participants before and after 8-12 weekly lessons. DESIGN: Analysis of preexisting 24-hour dietary recalls information collected from October, 2012 through September, 2014. PARTICIPANTS: Participants with complete pre-post dietary data (n = 122,961); subset of those with complete demographic data (n = 97,522). MAIN OUTCOME MEASURES: Change in HEI-2005 scores (total and components). STATISTICAL ANALYSIS: Linear regression model fit separately for total HEI and 12 components. The response variable was changed in the HEI-2005 score; predictor variables included age, education, sex, and race/ethnicity. RESULTS: The mean total HEI scores were 51.1 (SD, 13.7) at entry and 56.5 (SD, 13.7) at exit, with a change of 5.4 (SD, 16.2). Nine of 12 component scores increased. Changes were greater as age increased, with increasing education, and in women. Hispanics had the greatest improvement (mean ± SE) in total HEI score (8.3 ± 0.1). CONCLUSIONS AND IMPLICATIONS: Although diet quality remained poor, participation in the Expanded Food and Nutrition Education Program resulted in improvement in dietary quality. The degree of improvements varied among demographic groups, but all groups improved.

Older adults with obesity have higher risks of some micronutrient inadequacies and lower overall dietary quality compared to peers with a healthy weight, National Health and Nutrition Examination Surveys (NHANES), 2011-2014.

OBJECTIVE: To evaluate total usual intakes and biomarkers of micronutrients, overall dietary quality and related health characteristics of US older adults who were overweight or obese compared with a healthy weight. DESIGN: Cross-sectional study. SETTING: Two 24-h dietary recalls, nutritional biomarkers and objective and subjective health characteristic data were analysed from the National Health and Nutrition Examination Survey 2011-2014. We used the National Cancer Institute method to estimate distributions of total usual intakes from foods and dietary supplements for eleven micronutrients of potential concern and the Healthy Eating Index (HEI)-2015 score. PARTICIPANTS: Older adults aged ≥60 years (n 2969) were categorised by sex and body weight status, using standard BMI categories. Underweight individuals (n 47) were excluded due to small sample size. RESULTS: A greater percentage of obese older adults compared with their healthy-weight counterparts was at risk of inadequate Mg (both sexes), Ca, vitamin B6 and vitamin D (women only) intakes. The proportion of those with serum 25-hydroxyvitamin D < 40 nmol/l was higher in obese (12 %) than in healthy-weight older women (6 %). Mean overall HEI-2015 scores were 8·6 (men) and 7·1 (women) points lower in obese than in healthy-weight older adults. In addition, compared with healthy-weight counterparts, obese older adults were more likely to self-report fair/poor health, use ≥ 5 medications and have limitations in activities of daily living and cardio-metabolic risk factors; and obese older women were more likely to be food-insecure and have depression. CONCLUSIONS: Our findings suggest that obesity may coexist with micronutrient inadequacy in older adults, especially among women.

Total Usual Micronutrient Intakes Compared to the Dietary Reference Intakes among U.S. Adults by Food Security Status.

This study examined total usual micronutrient intakes from foods, beverages, and dietary supplements (DS) compared to the Dietary Reference Intakes among U.S. adults (≥19 years) by sex and food security status using NHANES 2011-2014 data (n = 9954). DS data were collected via an in-home interview; the NCI method was used to estimate distributions of total usual intakes from two 24 h recalls for food and beverages, after which DS were added. Food security status was categorized using the USDA Household Food Security Survey Module. Adults living in food insecure households had a higher prevalence of risk of inadequacy among both men and women for magnesium, potassium, vitamins A, B6, B12, C, D, E, and K; similar findings were apparent for phosphorous, selenium, and zinc in men alone. Meanwhile, no differences in the prevalence of risk for inadequacy were observed for calcium, iron (examined in men only), choline, or folate by food security status. Some DS users, especially food secure adults, had total usual intakes that exceeded the Tolerable Upper Intake Level (UL) for folic acid, vitamin D, calcium, and iron. In conclusion, while DS can be helpful in meeting nutrient requirements for adults for some micronutrients, potential excess may also be of concern for certain micronutrients among supplement users. In general, food insecure adults have higher risk for micronutrient inadequacy than food secure adults.

Improved Overall Quality of Diets Reported by Expanded Food and Nutrition Education Program Participants in the Mountain Region.

OBJECTIVE: To evaluate the Expanded Food and Nutrition Education Program, a large US Department of Agriculture nutrition education program for low-income people, by comparing the overall quality and cost of diets when entering and exiting the program. METHODS: Secondary analysis of data collected in 2011 from female participants in the Mountain region. Dietary recalls were collected by paraprofessionals. Outcome measures were the differences between Healthy Eating Index-2005 scores and costs of diets at entry and exit. Significance was determined using the Wilcoxon signed-rank test. RESULTS: At entry the mean total Healthy Eating Index-2005 score was 49.1 (out of a possible 100) and at exit, 55.2 (P < .001) (n = 3,338). Eight of 12 component scores also improved significantly whereas the sodium score worsened. The estimated median cost of diets was 13% higher at exit compared with entry. CONCLUSIONS: Participants' overall diet quality improved and was accompanied by an increase in food cost.

Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level.

An index that assesses the multidimensional components of the diet across the lifecycle is useful in describing diet quality. The purpose of this study was to use the Healthy Eating Index-2005, a measure of diet quality in terms of conformance to the 2005 Dietary Guidelines for Americans, to describe the diet quality of Americans by varying sociodemographic characteristics in order to provide insight as to where diets need to improve. The Healthy Eating Index-2005 scores were estimated using 1 day of dietary intake data provided by participants in the 2003-2004 National Health and Nutrition Examination Survey. Mean daily intakes of foods and nutrients, expressed per 1,000 kilocalories, were estimated using the population ratio method and compared with standards that reflect the 2005 Dietary Guidelines for Americans. Participants included 3,286 children (2 to 17 years), 3,690 young and middle-aged adults (18 to 64 years), and 1,296 older adults (65+ years). Results are reported as percentages of maximum scores and tested for significant differences (P ≤ 0.05) by age, sex, race/ethnicity, income, and education levels. Children and older adults had better-quality diets than younger and middle-aged adults; women had better-quality diets than men; Hispanics had better-quality diets than blacks and whites; and diet quality of adults, but not children, generally improved with income level, except for sodium. The diets of Americans, regardless of socioeconomic status, are far from optimal. Problematic dietary patterns were found among all sociodemographic groups. Major improvements in the nutritional health of the American public can be made by improving eating patterns.

A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method.

It is of interest to estimate the distribution of usual nutrient intake for a population from repeat 24-h dietary recall assessments. A mixed effects model and quantile estimation procedure, developed at the National Cancer Institute (NCI), may be used for this purpose. The model incorporates a Box-Cox parameter and covariates to estimate usual daily intake of nutrients; model parameters are estimated via quasi-Newton optimization of a likelihood approximated by the adaptive Gaussian quadrature. The parameter estimates are used in a Monte Carlo approach to generate empirical quantiles; standard errors are estimated by bootstrap. The NCI method is illustrated and compared with current estimation methods, including the individual mean and the semi-parametric method developed at the Iowa State University (ISU), using data from a random sample and computer simulations. Both the NCI and ISU methods for nutrients are superior to the distribution of individual means. For simple (no covariate) models, quantile estimates are similar between the NCI and ISU methods. The bootstrap approach used by the NCI method to estimate standard errors of quantiles appears preferable to Taylor linearization. One major advantage of the NCI method is its ability to provide estimates for subpopulations through the incorporation of covariates into the model. The NCI method may be used for estimating the distribution of usual nutrient intake for populations and subpopulations as part of a unified framework of estimation of usual intake of dietary constituents.

Americans do not meet federal dietary recommendations.

A longstanding goal of dietary surveillance has been to estimate the proportion of the population with intakes above or below a target, such as a recommended level of intake. However, until now, statistical methods for assessing the alignment of food intakes with recommendations have been lacking. The purposes of this study were to demonstrate the National Cancer Institute's method of estimating the distribution of usual intake of foods and determine the proportion of the U.S. population who does not meet federal dietary recommendations. Data were obtained from the 2001-2004 NHANES for 16,338 persons, aged 2 y and older. Quantities of foods reported on 24-h recalls were translated into amounts of various food groups using the MyPyramid Equivalents Database. Usual dietary intake distributions were modeled, accounting for sequence effect, weekend/weekday effect, sex, age, poverty income ratio, and race/ethnicity. The majority of the population did not meet recommendations for all of the nutrient-rich food groups, except total grains and meat and beans. Concomitantly, overconsumption of energy from solid fats, added sugars, and alcoholic beverages ("empty calories") was ubiquitous. Over 80% of persons age ≥ 71 y and over 90% of all other sex-age groups had intakes of empty calories that exceeded the discretionary calorie allowances. In conclusion, nearly the entire U.S. population consumes a diet that is not on par with recommendations. These findings add another piece to the rather disturbing picture that is emerging of a nation's diet in crisis.

Alcoholic beverage consumption, nutrient intakes, and diet quality in the US adult population, 1999-2006.

BACKGROUND: Little is known about associations between alcoholic beverage consumption, nutrient intakes, and diet quality, although each has been independently associated with chronic disease outcomes. OBJECTIVE: This study examines cross-sectional relationships between alcoholic beverage consumption, nutrient intakes, and diet quality (Healthy Eating Index-2005 [HEI-2005] scores) in the US adult population. METHODS: Data were from four cycles of the National Health and Nutrition Examination Survey (1999-2006). Weighted multiple regression analyses, adjusted for age, race/ethnicity, education, smoking status, and body mass index included 8,155 men and 7,715 women aged >or=20 years who reported their past-year alcoholic beverage consumption and 24-hour dietary intake. Alcoholic beverage consumption was defined by drinking status (never, former, current drinker) and, among current drinkers, by drinking level (number of drinks per day, on average: men <1 to >or=5; women <1 to >or=3). RESULTS: Among men, there was no association between drinking status and intakes of energy, most nutrients, or total HEI-2005 score. Among women, former and current (compared to never) drinkers had significantly higher intakes of energy and several nutrients, and current drinkers had significantly lower total HEI-2005 scores (current drinkers 58.9; never drinkers 63.2). Among current drinkers of both sexes, as drinking level increased, intakes of energy and several nutrients significantly increased, whereas total HEI-2005 scores significantly decreased (from 55.9 to 41.5 in men, and from 59.5 to 51.8 in women). CONCLUSIONS: Among men and women, increasing alcoholic beverage consumption was associated with a decline in total diet quality as measured by the HEI-2005, apparently due to higher energy intake from alcohol as well as other differences in food choices. Educational messages should focus on nutrition and chronic disease risk associated with high consumption of alcoholic beverages and poor food choices, including excessive energy intake.

Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes.

Dietary assessment of episodically consumed foods gives rise to nonnegative data that have excess zeros and measurement error. Tooze et al. (2006, Journal of the American Dietetic Association 106, 1575-1587) describe a general statistical approach (National Cancer Institute method) for modeling such food intakes reported on two or more 24-hour recalls (24HRs) and demonstrate its use to estimate the distribution of the food's usual intake in the general population. In this article, we propose an extension of this method to predict individual usual intake of such foods and to evaluate the relationships of usual intakes with health outcomes. Following the regression calibration approach for measurement error correction, individual usual intake is generally predicted as the conditional mean intake given 24HR-reported intake and other covariates in the health model. One feature of the proposed method is that additional covariates potentially related to usual intake may be used to increase the precision of estimates of usual intake and of diet-health outcome associations. Applying the method to data from the Eating at America's Table Study, we quantify the increased precision obtained from including reported frequency of intake on a food frequency questionnaire (FFQ) as a covariate in the calibration model. We then demonstrate the method in evaluating the linear relationship between log blood mercury levels and fish intake in women by using data from the National Health and Nutrition Examination Survey, and show increased precision when including the FFQ information. Finally, we present simulation results evaluating the performance of the proposed method in this context.

Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24).

The National Cancer Institute (NCI) is developing an automated, self-administered 24-hour dietary recall (ASA24) application to collect and code dietary intake data. The goal of the ASA24 development is to create a web-based dietary interview based on the US Department of Agriculture (USDA) Automated Multiple Pass Method (AMPM) instrument currently used in the National Health and Nutrition Examination Survey (NHANES). The ASA24 food list, detail probes, and portion probes were drawn from the AMPM instrument; portion-size pictures from Baylor College of Medicine's Food Intake Recording Software System (FIRSSt) were added; and the food code/portion code assignments were linked to the USDA Food and Nutrient Database for Dietary Studies (FNDDS). The requirements that the interview be self-administered and fully auto-coded presented several challenges as the AMPM probes and responses were linked with the FNDDS food codes and portion pictures. This linking was accomplished through a "food pathway," or the sequence of steps that leads from a respondent's initial food selection, through the AMPM probes and portion pictures, to the point at which a food code and gram weight portion size are assigned. The ASA24 interview database that accomplishes this contains more than 1,100 food probes and more than 2 million food pathways and will include about 10,000 pictures of individual foods depicting up to 8 portion sizes per food. The ASA24 will make the administration of multiple days of recalls in large-scale studies economical and feasible.

Evaluation of the Healthy Eating Index-2005.

BACKGROUND: The Healthy Eating Index (HEI), a measure of diet quality as specified by federal dietary guidance, was revised to conform to the Dietary Guidelines for Americans 2005. The HEI has several components, the scores of which are totaled. OBJECTIVE: The validity and reliability of the HEI-2005 were evaluated. DESIGN: Validity was assessed by answering four questions: Does the HEI-2005 1) give maximum scores to menus developed by experts; 2) distinguish between groups with known differences in diet quality-smokers and nonsmokers; 3) measure diet quality independently of energy intake, a proxy for diet quantity; and 4) have more than one underlying dimension? The relevant type of reliability, internal consistency, was also assessed. SUBJECTS: Twenty-four-hour recalls from 8,650 participants, aged 2 years and older, in the National Health and Nutrition Examination Survey, 2001-2002 were analyzed to answer questions 2 to 4. Results were weighted to consider sample design and nonresponse. STATISTICAL ANALYSES: T tests determined differences in scores between smokers and nonsmokers. Pearson correlation coefficients determined the relationship between energy intake and scores. Principal components analysis determined the number of factors that comprise the HEI-2005. Cronbach's coefficient alpha tested internal consistency. RESULTS: HEI-2005 scores are at or very near the maximum levels for all sets of exemplary menus with one exception; the Harvard menus scored low on the milk component because these menus intentionally include only small amounts of milk products. Nine of 12 component scores were lower for smokers than nonsmokers. The correlations of component scores were virtually independent of energy intake (< I.22I). Multiple factors underlie the HEI-2005. Coefficient alpha was .43. The alpha value for all tests was .01. CONCLUSIONS: The HEI-2005 is a valid measure of diet quality. Potential uses include population monitoring, evaluation of interventions, and research. The individual component scores provide essential information in addition to that provided by the total score.

A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution.

OBJECTIVE: We propose a new statistical method that uses information from two 24-hour recalls to estimate usual intake of episodically consumed foods. STATISTICAL ANALYSES PERFORMED: The method developed at the National Cancer Institute (NCI) accommodates the large number of nonconsumption days that occur with foods by separating the probability of consumption from the consumption-day amount, using a two-part model. Covariates, such as sex, age, race, or information from a food frequency questionnaire, may supplement the information from two or more 24-hour recalls using correlated mixed model regression. The model allows for correlation between the probability of consuming a food on a single day and the consumption-day amount. Percentiles of the distribution of usual intake are computed from the estimated model parameters. RESULTS: The Eating at America's Table Study data are used to illustrate the method to estimate the distribution of usual intake for whole grains and dark-green vegetables for men and women and the distribution of usual intakes of whole grains by educational level among men. A simulation study indicates that the NCI method leads to substantial improvement over existing methods for estimating the distribution of usual intake of foods. CONCLUSIONS: The NCI method provides distinct advantages over previously proposed methods by accounting for the correlation between probability of consumption and amount consumed and by incorporating covariate information. Researchers interested in estimating the distribution of usual intakes of foods for a population or subpopulation are advised to work with a statistician and incorporate the NCI method in analyses.

Alcohol drinking patterns and diet quality: the 1999-2000 National Health and Nutrition Examination Survey.

Associations between alcohol drinking and cardiovascular disease mortality could be confounded by diet if alcohol drinking and diet are related. Depending on the alcohol measure, alcohol-diet relations may or may not be observed. The authors examined associations between alcohol and diet quality (Healthy Eating Index (HEI) scores) using cross-sectional, nationally representative data from the 1999-2000 National Health and Nutrition Examination Survey. Weighted analyses included 3,729 participants aged > or =20 years. In adjusted analyses among current alcohol drinkers, as quantity increased from 1 to > or =3 drinks/drinking day, the mean HEI score decreased from 65.3 (95% confidence interval (CI): 63.4, 67.1) to 61.9 (95% CI: 60.5, 63.2). As frequency increased from the lowest quartile to the highest, the mean HEI score increased from 60.9 (95% CI: 58.7, 63.2) to 64.9 (95% CI: 63.4, 66.4). As average volume ((quantity x frequency)/365.25) increased from <1 drink/day to > or =3 drinks/day, the mean HEI score increased from 62.9 (95% CI: 61.2, 64.5) to 65.2 (95% CI: 62.7, 67.8). In stratified analyses, the lowest HEI score, 58.5 (95% CI: 55.5, 61.5), occurred among drinkers who consumed the highest quantity at the lowest frequency. Average volume of alcohol consumed is driven by and masks the contributions of its components. These results suggest the importance of measuring drinking patterns (quantity, frequency, and stratified combinations) in epidemiologic alcohol-diet studies.