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Precise dietary assessment is critical for accurate exposure classification in nutritional research, typically aimed at understanding how diet relates to health. Dietary supplement (DS) use is widespread and represents a considerable source of nutrients. However, few studies have compared the best methods to measure DSs. Our literature review on the relative validity and reproducibility of DS instruments in the United States [e.g., product inventories, questionnaires, and 24-h dietary recalls (24HR)] identified five studies that examined validity ( n = 5) and/or reproducibility ( n = 4). No gold standard reference method exists for validating DS use; thus, each study's investigators chose the reference instrument used to measure validity. Self-administered questionnaires agreed well with 24HR and inventory methods when comparing the prevalence of commonly used DSs. The inventory method captured nutrient amounts more accurately than the other methods. Reproducibility (over 3 months to 2.4 years) of prevalence of use estimates on the questionnaires was acceptable for common DSs. Given the limited body of research on measurement error in DS assessment, only tentative conclusions on these DS instruments can be drawn at present. Further research is critical to advancing knowledge in DS assessment for research and monitoring purposes. Expected final online publication date for the Annual Review of Nutrition, Volume 43 is August 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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.

Dietary supplement (DS) use is widespread in the U.S. and contributes large amounts of micronutrients to users. Most studies have relied on data from one assessment method to characterize the prevalence of DS use. Combining multiple methods enhances the ability to capture nutrient exposures from DS and examine trends over time.The objective of this study was to characterize DS use and examine trends in any DS as well as micronutrient-containing (MN) DS use among a nationally representative sample of the U.S. population (≥1y) from the 2007-2018 NHANES using a combined approach (i.e., DSMQ and/or ≥1 24HR).NHANES obtains an in-home inventory with a frequency-based DS and Prescription Medicine Questionnaire (DSMQ), and two 24-hr recalls (24HR). The objective of this study was to characterize DS use and examine trends in any and micronutrient-containing (MN) DS use among a nationally representative sample of the U.S. population (≥1y) from the 2007-2018 NHANES, using a combined approach (i.e., DSMQ and/or ≥1 24HR). Trends in the prevalence of use and selected types of products used were estimated for the population and by sex, age, race/Hispanic origin, family income (poverty-to-income ratio (PIR)), and household food security (food-secure vs. food-insecure). Linear trends were tested using orthogonal polynomials (significance set at p0.05).DS use increased from 50% in 2007 to 56% in 2018 (p = 0.001); use of MN products increased from 46% to 49% (p = 0.03), and single-nutrient DS (e.g., magnesium, vitamins B12 and D) use also increased (all p0.001). In contrast, multivitamin-mineral use decreased (70% to 56%; p0.001). Among adults (≥19y), any (54% to 61%) and MN (49% to 54%) DS use increased, especially among men, non-Hispanic Blacks and Hispanics, and low-income adults (PIR≤130%). Among children (1-18y), any DS use remained stable (∼38%), as did MN use, except for food-insecure children, whose use increased from 24% to 31% over the decade (p = 0.03).The prevalence of any and MN DS use increased over time in the U.S. This may be partially attributed to increased use of single-nutrient products. Population subgroups differed in their DS use.

Food classification is critical to the analysis of nutrients comprising foods reported in dietary assessment. Advances in mobile and wearable sensors, combined with new image based methods, particularly deep learning based approaches, have shown great promise to improve the accuracy of food classification to assess dietary intake. However, these approaches are data-hungry and their performances are heavily reliant on the quantity and quality of the available datasets for training the food classification model. Existing food image datasets are not suitable for fine-grained food classification and the following nutrition analysis as they lack fine-grained and transparently derived food group based identification which are often provided by trained dietitians with expert domain knowledge. In this paper, we propose a framework to create a nutrition and food group based image database that contains both visual and hierarchical food categorization information to enhance links to the nutrient profile of each food. We design a protocol for linking food group based food codes in the U.S. Department of Agriculture's (USDA) Food and Nutrient Database for Dietary Studies (FNDDS) to a food image dataset, and implement a web-based annotation tool for efficient deployment of this protocol.Our proposed method is used to build a nutrition and food group based image database including 16,114 food images representing the 74 most frequently consumed What We Eat in America (WWEIA) food sub-categories in the United States with 1,865 USDA food code matched to a nutrient database, the USDA FNDDS nutrient database.

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.

BACKGROUND: Accurate and reliable methods to assess prevalence of use of and nutrient intakes from dietary supplements (DSs) are critical for research, clinical practice, and public health monitoring. NHANES has been the primary source of DS usage patterns using an in-home inventory with a frequency-based DS and Prescription Medicine Questionnaire (DSMQ), but little is known regarding DS information obtained from 24-h dietary recalls (24HRs). METHODS: The objectives of this analysis were to compare results from 4 different methods for measuring DS use constructed from two data collection instruments (i.e., DSMQ and 24HR) and to determine the most comprehensive method for measuring the prevalence of use and estimating nutrient intakes from DS for selected nutrients. NHANES 2011–2014 data from US adults (aged ≥19 y; n = 11,451) were used to examine the 4 combinations of methods constructed for measuring the prevalence of use of and amount of selected nutrients from DSs (i.e., riboflavin, vitamin D, folate, magnesium, calcium): 1) DSMQ, 2) 24HR day 1, 3) two 24HRs (i.e., mean), and 4) DSMQ or at least one 24HR. RESULTS: Half of US adults reported DS use on the DSMQ (52%) and on two 24HRs (mean of 49%), as compared with a lower prevalence of DS use when using a single 24HR (43%) and a higher (57%) prevalence when combining the DSMQ with at least one 24HR. Mean nutrient intake estimates were highest using 24HR day 1. Mean supplemental calcium from the DSMQ or at least one 24HR was 372 mg/d, but 464 mg/d on the 24HR only. For vitamin D, the estimated intakes per consumption day were higher on the DSMQ (46 μg) and the DSMQ or at least one 24HR (44 μg) than those on the 24HR day 1 (32 μg) or the mean 24HR (31 μg). Fewer products were also classed as a default or reasonable match on the DSMQ than on the 24HR. CONCLUSIONS: A higher prevalence of use of DSs is obtained using frequency-based methods, whereas higher amounts of nutrients are reported from a 24HR. The home inventory results in greater accuracy for products reported. Collectively, these findings suggest that combining the DSMQ with at least one 24HR (i.e., DSMQ or at least one 24HR) is the most comprehensive method for assessing the prevalence of and estimating usual intake from DSs in US adults. This trial was registered at clinicaltrials.gov as NCT03400436.

BACKGROUND: Most dietary indices reflect foods and beverages and do not include exposures from dietary supplements (DS) that provide substantial amounts of micronutrients. A nutrient-based approach that captures total intake inclusive of DS can strengthen exposure assessment. OBJECTIVE: To examine the construct and criterion validity of the Total Nutrient Index (TNI) among U.S. adults (≥19y; non-pregnant or lactating). METHODS: The TNI includes eight under-consumed micronutrients identified by the Dietary Guidelines for Americans: calcium; magnesium; potassium; choline; and vitamins A, C, D, and E. The TNI is expressed as a percentage of the Recommended Dietary Allowance or Adequate Intake to compute micronutrient component scores; the mean of the component scores yields the TNI score, ranging from 0-100. Data from exemplary menus and the 2003-2006 (≥19y; n = 8,861) and 2011-2014 NHANES (≥19y; n = 9,954) were employed. Exemplary menus were used to determine if the TNI yielded high scores from dietary sources (women 31-50y; men ≥70y). TNI scores were correlated with Healthy Eating Index (HEI)-2015 overall and component scores for dairy, fruits, and vegetables; TNI component scores for vitamins A, C, D, and E were correlated with respective biomarker data. TNI scores were compared between groups with known differences in nutrient intake based on the literature. RESULTS: The TNI yielded high scores on exemplary menus (84.8-93.3/100) and was moderately correlated (r = 0.48) with the HEI-2015. Mean TNI scores were significantly different for DS users (83.5) vs. non-users (67.1), non-smokers (76.8) vs. smokers (70.3), and those living with food security (76.6) vs. food insecurity (69.1). Correlations of TNI vitamin component scores with available biomarkers ranged from r = 0.12 (α-tocopherol) to r = 0.36 (serum 25(OH)D), and were significantly higher than correlations obtained from the diet alone. CONCLUSION: The evaluation of validity supports that the TNI is a useful construct to assess total micronutrient exposures of under-consumed micronutrients among U.S. adults.

BACKGROUND: Sarcopenia, a progressive loss of skeletal muscle mass and strength, can begin in the 4th decade of life. Protein intake predicts skeletal muscle mass and strength among older adults, but knowledge of similar associations among middle-aged adults is lacking. OBJECTIVES: We aimed to assess associations between protein intake and skeletal muscle mass, characterized by appendicular lean mass adjusted for BMI [in kg/m(2) (ALM(BMI))], and muscle strength, represented by handgrip strength adjusted for BMI (GSMAX(BMI)), among middle-aged adults. METHODS: We analyzed cross-sectional data from 1209 men and 1208 women aged 40–59 y in the 2011–2014 NHANES. Protein intake per kilogram actual body weight (BW), assessed by two 24-h recalls, was examined as continuous and categorical parameters [low (

© 2019 American Society for Nutrition. All rights reserved. The use of dietary supplements (DS) is pervasive and can provide substantial amounts of micronutrients to those who use them. Therefore when characterizing dietary intakes, describing the prevalence of inadequacy or excess, or assessing relations between nutrients and health outcomes, it is critical to incorporate DS intakes to improve exposure estimates. Unfortunately, little is known about the best methods to assess DS, and the structure of measurement error in DS reporting. Several characteristics of nutrients from DS are salient to understand when comparing to those in foods. First, DS can be consumed daily or episodically, in bolus form and can deliver discrete and often very high doses of nutrients that are not limited by energy intakes. These characteristics contribute to bimodal distributions and distributions severely skewed to the right. Labels on DS often provide nutrient forms that differ from those found in conventional foods, and underestimate analytically derived values. Finally, the bioavailability of many nutrient-containing DS is not known and it may not be the same as the nutrients in a food matrix. Current methods to estimate usual intakes are not designed specifically to handle DS. Two temporal procedures are described to refer to the order that nutrient intakes are combined relative to usual intake procedures, referred to as a shrinking the distribution to remove random error. The shrink then add approach is preferable to the add then shrink approach when users and nonusers are combined for most research questions. Stratifying by DS before usual intake methods is another defensible option. This review describes how to incorporate nutrient intakes from DS to usual intakes from foods, and describes the available methods and fit-for-purpose of different analytical strategies to address research questions where total usual intakes are of interest at the group level for use in nutrition research and to inform policy decisions. Clinical Trial Registry: NCT03400436. J Nutr 2019;149:181-197.

A person's daily nutrient intake and overall nutritional status are determined by a complex interplay of the types and amounts of foods ingested in combination with the timing and frequency of eating.The aim was to summarize frequency of eating occasion data examined by the 2020 Dietary Guidelines Advisory Committee, the macronutrient contributions they provide, and meal frequency relative to dietary quality among the US population (≥2 y), with a focus on sex, age, race/Hispanic origin, and income.Demographic and 24-h recall data from the 2013-2016 NHANES were examined. An eating occasion was defined as "any ingestive event (e.g., solid food, beverage, water) that is either energy yielding or non-energy yielding"; all eating occasions were further divided into discrete meals and snacks. Frequency of meals and snacks was defined as "the number of daily EOs [eating occasions]," respectively. Diet quality was assessed via the Healthy Eating Index (HEI)-2015.Most Americans consume 2 (28%) to 3 (64%) meals on a given day and90% consume 2 to 3 snacks on that day. Adult, Hispanic, and non-Hispanic Black and lower-income (131% family poverty-to-income ratio) Americans had a lower frequency of eating than children or adolescents, non-Hispanic White, and non-Hispanic Asian Americans and higher-income Americans, respectively. Americans who reported 3 meals on a given day consumed a diet higher in dietary quality than Americans who consumed 2 meals on a given day (HEI-2015: 61.0 vs. 55.0), regardless of population subgroup.The frequency of the types of eating occasions differs according to age, race and Hispanic origin, and income. Dietary quality is associated with the number of meals consumed. Healthy dietary patterns can be constructed in a variety of ways to suit different life stages, cultural practices, and income levels; improved diet quality and careful consideration of nutrient density when planning meals are warranted.

OBJECTIVES: Policy proposals to limit use of the Supplemental Nutrition Assistance Program (SNAP) and to allow dietary supplement (DS) purchase with SNAP benefits draw attention to knowledge gap of usual nutrient intake and adherence to the Dietary Reference Intake recommendations from foods alone and with DS (total intake) among low-income older adults. To address this gap, the estimated distributions of usual nutrient intake (from foods alone and total) and risk of inadequate intake among U.S. older adults participating in SNAP were compared with income-eligible non-participants. METHODS: Data from 4,791 older adults (≥60 years) from the 2007–2016 National Health and Nutrition Examination Survey were used in this cross-sectional secondary analysis. DS data from an in-home inventory and dietary data from up to two 24-hour recalls were used to estimate usual nutrient intake distributions (total and from foods alone) and the proportion of the population below the Estimated Average Requirement (EAR) using an adapted National Cancer Institute method. Pairwise t-tests compared SNAP participants and eligible non-participants with significance set at P

A priori dietary indices provide a standardized, reproducible way to evaluate adherence to dietary recommendations across different populations. Existing nutrient-based indices were developed to reflect food/beverage intake; however, given the high prevalence of dietary supplement (DS) use and its potentially large contribution to nutrient intakes for those that use them, exposure classification without accounting for DS is incomplete. The purpose of this article is to review existing nutrient-based indices and describe the development of the Total Nutrient Index (TNI), an index developed to capture usual intakes from all sources of under-consumed micronutrients among the U.S. population. The TNI assesses U.S. adults' total nutrient intakes relative to recommended nutrient standards for eight under-consumed micronutrients identified by the Dietary Guidelines for Americans: calcium, magnesium, potassium, choline, and vitamins A, C, D, E. The TNI is scored from 0 to 100 (truncated at 100). The mean TNI score of U.S. adults (≥19 y; n = 9,954) based on dietary data from NHANES 2011-2014, was 75.4; the mean score for the index ignoring DS contributions was only 69.0 (t-test; p < 0.001). The TNI extends existing measures of diet quality by including nutrient intakes from all sources and was developed for research, monitoring, and policy purposes.

OBJECTIVES To characterize dietary supplement use among US children, including product type, motivations, user characteristics, and trends over time with a primary focus on non-vitamin/non-mineral dietary supplements (NVNM). STUDY DESIGN Overall, NVNM, and vitamin and/or mineral dietary supplement only (VM-only) use; motivations for use; and trends in use over time were examined in children (≤19 years of age) using the National Health and Nutrition Examination Survey 1999-2016 data (n = 42 510). RESULTS Between 1999 and 2016, overall dietary supplement and VM-only dietary supplement use among all children remained relatively stable at ∼30%; yet, NVNM dietary supplement use increased from 2.9% to 6.4%, mainly due to increased use of omega-3 polyunsaturated fatty acids. NVNM use was greater in boys than in girls (3.9% vs 3.3%), and greater in older children than in younger children (Ptrend

This study examined total usual micronutrient intakes from foods, beverages, and dietary supplements (DS) compared to the Dietary Reference Intakes among U.S. adults (&ge, 19 years) by sex and food security status using NHANES 2011&ndash, 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.

OBJECTIVES: To estimate total mean usual micronutrient intakes (inclusive of dietary supplements (DS)), Dietary Reference Intakes (DRI) adherence, and the % contribution of DS to total usual micronutrient intakes for U.S. adults (≥19y) using data from the 2011–2014 National Health and Nutrition Examination Survey (NHANES, n = 9474), by sex, age, and race and Hispanic origin groupings. METHODS: Dietary data were collected using two 24-hour recalls; DS data was collected via an in-home 30-day questionnaire that ascertained participants’ usage in the past 30 days. The National Cancer Institute Method was used to estimate mean total usual micronutrient intakes and the proportion of the population complying with DRI by population subgroups: sex, age, and race and Hispanic origin. RESULTS: DS contributed substantially to meeting the DRI recommendations for several key nutrients, including calcium, magnesium, folate, zinc, and vitamins C, D, B6, and K in both men and women. However, approximately half of U.S. adults still failed to meet the estimated average requirement (EAR) for magnesium (45%), and vitamins C (35%), K (45%), and D (63%), even with the inclusion of DS. The proportion of total usual intakes

Snacks, while widely consumed in the United States (U.S.), do not have a standard definition, complicating research to understand associations, if any, with weight status. Therefore, the purpose of this study was to examine the association between snacking frequency and weight status using various snacking definitions that exist in the scientific literature among U.S. adults (NHANES 2013–2016; ≥20y n = 9,711). Four event-based snacking definitions were operationalized including participant-defined snacks, eating events outside of meals, and operationally defined snacks based on absolute thresholds of energy consumed (>50 kcal). Weight status was examined using body mass index (BMI), waist circumference, and sagittal abdominal diameter risk. Logistic regression models examined snacking frequency and associations with weight status. Outcomes varied by the definition of a snack employed, but the majority of findings were null. Mean energy from snacks was significantly higher among women with obesity compared to women with normal weight when a snack was defined as any event outside of a typical mealtime (i.e. other than breakfast, lunch, dinner, super, brunch), regardless of whether or not it contributed ≥50 kcal. Further investigation into ingestive behaviors that may influence the relationship between snacking frequency and weight status is needed.

OBJECTIVES: Little is known whether the prevalence of dietary supplement (DS) use among children varies by assessment method as it does among adults. We assessed the prevalence of use of different DS product types among U.S. children using four different combinations of assessment methods constructed from two instruments (i.e., frequency-based questionnaire and 24-hour dietary recall (24HR)). METHODS: DS use information is collected in the National Health and Nutrition Examination Survey (NHANES) via a 30-day frequency questionnaire in conjunction with an in-home inventory (Dietary Supplement and Prescription Medicine, DSMQ) and during up to two 24HR. NHANES 2013–2016 data were used to estimate the prevalence of use of any DS and selected types of DS products among 8369 children (≤18y) using four methods constructed from DSMQ and 24HR: 1) DSMQ; 2) 24HR day 1; 3) 24HR day 1 and day 2; and 4) DSMQ and ≥1 24HR. RESULTS: About one-third (34.4%) of children took at least one DS in the previous 30 days according to the DSMQ. This decreased to 21.0% when data from only the 24HR day 1 were used, increased to 26.2% when data from both the 24HR day 1 and day 2 were used, and increased further to 37.3% when data from the DSMQ and ≥1 24HR were combined. Similar patterns were found when stratified by age (

OBJECTIVES: To estimate distributions of total usual vitamin D intakes from foods and supplements among U.S. adults, using four different methods of assessment. Usual intake is defined as long-term average daily intake. METHODS: Distributions of total usual vitamin D intakes were estimated from data provided by 9954 adults (≥19 y) from the 2011–2014 NHANES. Dietary and dietary supplement (DS) data were collected using two 24-hour recalls (24HR), and DS data were also collected via an in-home inventory that ascertained participants’ DS use in the past 30 days. The four methods used included: combined “add then shrink” (Method 1); combined “shrink then add” (Method 2); stratified “shrink then add” (Method 3); three-part (Method 4). Briefly, Method 1 analyzes DS users and nonusers together and includes DS use as a covariate in the model. Nutrient intake from foods and DS are “added” prior to applying usual intake procedures to “shrink” the total intake distribution. Method 2 combines DS users and nonusers identically, but “shrinks” the nutrient intake distribution from foods prior to incorporating nutrient intake from DS to produce total usual intakes. Method 3 also follows the “shrink then add” framework but stratifies DS users and nonusers separately in the model. Method 4 also stratifies DS users and nonusers but computes total usual intakes in three parts: 1) usual intake from foods for DS nonusers; 2) usual intake from foods for DS users; and 3) usual intake from DS for DS users. RESULTS: All methods following the “shrink then add” framework (i.e., methods 2- 4) resulted in similar estimated distributions of total usual vitamin D intakes; but Method 1, the “add then shrink” method, resulted in distributions that were wider as a result of inflated within-person variation. Among the “shrink then add” methods, the main differences existed between methods 2 and 3 vs. method 4, partly due to differences in modeling of DS intake information reported on 24HRs vs. the in-home inventory. CONCLUSIONS: Currently, no consensus exists on the best method for incorporating DS nutrients into usual intake models designed to estimate intake from foods and beverages. These findings support the notion that the “shrink then add” methods are more amenable to modeling when compared to “add then shrink.” FUNDING SOURCES: This work was supported by a grant from the National Institutes of Health.

This analysis characterizes use of dietary supplements (DS) and motivations for DS use among U.S. children (&le, 18 years) by family income level, food security status, and federal nutrition assistance program participation using the 2011&ndash, 2014 National Health and Nutrition Examination Survey data. About one-third (32%) of children used DS, mostly multivitamin-minerals (MVM, 24%). DS and MVM use were associated with higher family income and higher household food security level. DS use was lowest among children in households participating in the Supplemental Nutrition Assistance Program (SNAP, 20%) and those participating in the Special Supplemental Nutrition Assistance Program for Women, Infants, and Children (WIC, 26%) compared to both income-eligible and income-ineligible nonparticipants. Most children who used DS took only one (83%) or two (12%) products, although children in low-income families took fewer products than those in higher income families. The most common motivations for DS and MVM use were to &ldquo, improve (42% or 46%)&rdquo, or &ldquo, maintain (34 or 38%)&rdquo, health, followed by &ldquo, to supplement the diet (23 or 24%)&rdquo, for DS or MVM, respectively. High-income children were more likely to use DS and MVM &ldquo, to supplement the diet&rdquo, than middle- or low-income children. Only 18% of child DS users took DS based on a health practitioner&rsquo, s recommendation. In conclusion, DS use was lower among children who were in low-income or food-insecure families, or families participating in nutrition assistance programs.

The objective of this study was to estimate the prevalence of use and types of dietary supplements (DS) used by U.S. adults (&ge, 19 years) by sociodemographic characteristics: family income-to-poverty ratio (PIR), food security status, and Supplemental Nutrition Assistance Program (SNAP) participation using NHANES 2011&ndash, 2014 data (n = 11,024). DS use was ascertained via a home inventory and a retrospective 30-day questionnaire. Demographic and socioeconomic differences related to DS use were evaluated using a univariate t statistic. Half of U.S. adults (52%) took at least one DS during a 30-day period, multivitamin-mineral (MVM) products were the most commonly used (31%). DS and MVM use was significantly higher among those with a household income of &ge, 350% of the poverty level, those who were food secure, and SNAP income-ineligible nonparticipants across all sex, age, and race/ethnic groups. Among women, prevalence of use significantly differed between SNAP participants (39%) and SNAP income-eligible nonparticipants (54%). Older adults (71+ years) remained the highest consumers of DS, specifically among the highest income group (82%), while younger adults (19&ndash, 30 years), predominantly in the lowest income group (28%), were the lowest consumers. Among U.S. adults, DS use and the types of products consumed varied with income, food security, and SNAP participation.

Background Given the current prevalence of both cigarette use and obesity in the United States, identification of dietary patterns that reduce mortality risk are important public health priorities. The objective of the present study was to evaluate the correlation between cigarette use and dietary energy density, a marker for diet quality, in a population of current smokers, former smokers, and never smokers. Methods Data from a nationally representative sample of 5293 adults who participated in the 2013–2014 National Health and Nutrition Examination Surveys (NHANES) were analyzed. Specific survey procedures were used in the analysis to account for sample weights, unequal selection probability, and clustered design when evaluating the association between dietary energy density (ED, energy per weight of food, kcal/g) and current smoking status. Never smokers reported 100 lifetime cigarettes and current smoking status was recorded as daily, some days (nondaily), or not at all (former). Results A strong linear relationship was observed between smoking pattern and dietary ED in current smokers. Compared to never smokers, daily smokers and nondaily smokers have significantly higher dietary ED (1.79 vs. 2.02 and 1.88, respectively; both p

Background: Nutrition is critical to HIV mortality and morbidity. Improved treatment modalities have increased life expectancy of HIV-infected individuals. More than 1 million US adults are living with HIV, but little is known about their nutritional status. Objective: We aimed to characterize the nutritional status of those living with HIV with the use of the NHANES 2003–2014. Methods: The NHANES is a nationally representative, cross-sectional survey of the US population and includes a household interview, medical examination, and two 24-h dietary recalls; survey weights are applied to make the data nationally representative. HIV antibodies were ascertained initially by immunoassay and confirmed with Western blot. NHANES 2003–2014 data were analyzed for HIV-positive (n = 87) and HIV-negative (n = 15,868) US adults (aged 19–49 y). Body mass index (BMI), waist circumference, dietary intakes, and nutritional biomarkers were estimated and compared by HIV status, stratified by sex. Results: HIV-infected men and women had higher serum protein, lower serum albumin, and lower serum folate than did non–HIV-infected adults. HIV-positive women had significantly higher BMI, prevalence of overweight or obesity, and waist circumference risk and substantially lower serum 25-hydroxyvitamin D concentrations (44 compared with 65 nmol/L) than did HIV-negative women. When compared with HIV-negative women, HIV-positive women had lower intakes of some key nutrients such as fiber, vitamin E, vitamin K, magnesium, and potassium but had higher intakes of protein and niacin. Conclusions: The NHANES data suggest that HIV infection is associated with poorer markers of some nutritional status indicators; however, the US population prevalence of HIV is

OBJECTIVES: The purpose was to evaluate nutritional status, food security, and related health factors of older adults who were overweight or obese compared to those with a healthy weight. METHODS: Data from 2969 adults aged ≥60 years from NHANES 2011–2014 were analyzed. Participants were categorized by sex and body weight status as healthy weight (body mass index (BMI, kg/m(2)) 18.5–24.9), overweight (BMI 25–29.9), or obese (BMI ≥ 30); underweight individuals were excluded. Healthy Eating Index (HEI)-2015 scores and total usual micronutrient intakes from foods and dietary supplements were estimated using two 24-hour dietary recalls and the National Cancer Institute method. Nutritional biomarkers, including serum vitamin D, vitamin B-12, and methylmalonic acid, and cardiometabolic risk factors were also assessed. RESULTS: A substantial proportion of older adults (>30%) had intakes below Estimated Average Requirements (EAR) for calcium, magnesium, and vitamins C and D even with dietary supplements. Men and women with obesity had a higher prevalence of usual magnesium intakes

OBJECTIVES: The purpose of this analysis was to compare the association between adult snacking frequency and weight status and central adiposity across various definitions of a snack. Specifically, we investigated whether the definition of a snack alters the odds ratio (OR) of having overweight or obesity (OW/OB, BMI ≥ 25 kg/m(2)) by consumption frequency and the contribution to total daily energy intake. In addition, we compared the OR of waist circumference risk (WC ≥ 102 men; 88 cm women) and sagittal abdominal diameter risk (SAD ≥ 25 men and 24 cm women) with snacking frequency and contribution to total daily energy using three common snack definitions. METHODS: Anthropometric measurements, one 24HR dietary recall, and demographic information (sex, age, race and Hispanic origin, income, and smoking status) from U.S. adults (≥20y; n = 20,146) collected during NHANES 2013–2016 were used in this analysis. Snacking events were defined by one of three definitions: 1) events defined by the reporter as a “snack,” 2) any event outside of a typical meal time (i.e., breakfast, lunch, dinner, super, brunch), or 3) ingestion events that contribute

High intake of added sugars is associated with excess energy intake and poorer diet quality. The objective of this cross-sectional study (n = 16,806) was to estimate usual intakes and the primary food sources of added sugars across the range of intakes (i.e., deciles) among U.S. children (2–8 years), adolescents and teens (9–18 years), and adults (≥19 years) using the National Health and Nutrition Examination (NHANES) data from 2009–2012. The percent energy contributed by added sugars was 14.3 ± 0.2% (2–8 years), 16.2 ± 0.2% (9–18 years), and 13.1 ± 0.2% (≥19 years), suggesting the highest intakes are among adolescents and teens. However, the primary foods/beverages that contribute to added sugars were remarkably consistent across the range of intakes, with the exception of the lowest decile, and include sweetened beverages and sweet bakery products. Interestingly across all age groups, even those in the lowest decile of added sugars exceed the 10% guidelines. Additional foods contributing to high intakes were candy and other desserts (e.g., ice cream) in children and adolescents, and coffee and teas in adults. Tailoring public health messaging to reduce intakes of these identified food groups may be of utility in designing effective strategies to reduce added sugar intake in the U.S.