Differences in Intakes of Select Nutrients by Urbanization Level in the United States Population 2 Years and Older, NHANES 2013-2018.

BACKGROUND: Differences in nutrient intakes by urbanization level in the Unites States is not well understood. OBJECTIVE: Describe, by urbanization level: 1) intake of protein, fiber, percent of energy from added sugars (AS) and saturated fat (SF), calcium, iron, potassium, sodium, and vitamin D; 2) the percent of the population meeting nutrient recommendations. METHODS: Twenty-four-hour dietary recalls from 23,107 participants aged 2 y and over from the 2013-2018 National Health and Nutrition Examination Surveys were analyzed. Usual intakes were estimated, and linear regression models adjusted for age, sex, race and Hispanic origin, and whether family income met the 130% threshold examined intake differences by urbanization levels-large urban areas (LUA), small to medium metro areas (SMMA), and rural areas (RA). RESULTS: A small percentage of the population met the nutrient recommendations, except for protein (92.8%) and iron (70.5%). A higher percentage of the population met recommendations than SMMA and RA for fiber (11.8% compared with 8.1% and 5.3%, P < 0.001), AS (40.2% compared with 33.4% and 31.3%, P < 0.001), SF (26.8% compared with 18.2% and 20.1%, P < 0.001), and potassium (31.5% compared with 25.5% and 22.0%, P < 0.001). Mean protein intake were also higher in LUA than RA (80.0 g compared with 77.7 g, P = 0.003) and fiber intake higher in LUA than SMMA (16.5 g compared with 15.9 g, P = 0.01) and RA (16.5 g compared with 15.2 g, P = 0.001). In addition, contributions to energy intake were lower in LUA than SMMA for AS (11.3% compared with 12.0%, P < 0.001) and SF (11.5% compared with 11.7%, P < 0.001), and for LUA than RA for AS (11.3% compared with 12.9%, P < 0.001) and SF (11.5% compared with 11.8%, P < 0.001). CONCLUSIONS: RA had some markers of poorer diet quality-lower protein and fiber intake and higher AS intake-compared with LUA, and these differences persisted in adjusted regression models. These results may inform public health efforts to address health disparities by urbanization levels in the Unites States.

Dairy, Meat, Seafood, and Plant Sources of Saturated Fat: United States, Ages Two Years and Over, 2017-2020.

BACKGROUND: Research suggests that the effects of saturated fat (SF) on health differ depending on its food source. Dairy SF has been associated with lower cardiovascular disease (CVD) risk, whereas meat SF is linked to a higher CVD risk. OBJECTIVES: To estimate the contribution to the total intake of SF of 1) 5 food groups - dairy, meats, seafood, plants, and "other," and 2) the top 10 specific food category sources in the United States population overall and by sociodemographic subgroup. METHODS: The analysis included data from 11,798 participants in the 2017-March 2020 National Health and Nutrition Examination Survey aged 2+ y. Grams of SF from the food sources expressed as a percentage of the total grams of SF consumed, were estimated using the population ratio method. RESULTS: Mean daily intake of SF was 28.1 g [95% confidence interval (CI): 27.6-28.6 g], comprising 11.9% (95% CI: 11.7-12.1%) of total energy intake. Dairy contributed 28.4% of SF, followed by meats (22.1%), plant sources (7.5%), fish and seafood (1.2%), and the remaining foods (41.6%). Youth had higher SF intake from dairy than adults (P < 0.001), whereas non-Hispanic Whites had higher intake than non-Hispanic Blacks (P < 0.001) and Hispanics (P = 0.016). Adults had higher SF intake from meats than youth (P = 0.002), males more than females (P < 0.001), and non-Hispanic Blacks more than non-Hispanic Asians (P = 0.016) and Hispanics (P < 0.001). The top 10 specific sources of SF were unprocessed red meats, sweet bakery products, cured meats, milk, cheese, pizza, unprocessed poultry, Mexican mixed dishes, eggs, and combined fruits and vegetables. CONCLUSIONS: Although dairy contributed ∼30% of SF compared to ∼20% for total meat, the top specific food category source of SF was unprocessed red meats, which ranked in the top 2 food category sources of SF for most subgroups. These findings may be useful for further research to examine the relationship between the different sources of SF and health outcomes.

Dietary contributions of food outlets by urbanization level in the US population aged 2 years and older-NHANES 2013-2018.

BACKGROUND: Differences in food access, availability, affordability, and dietary intake are influenced by the food environment, which includes outlets where foods are obtained. These differences between food outlets within rural and urban food environments in the United States are not well understood. OBJECTIVES: The aim of this analysis is to describe the contribution of foods and beverages from 6 outlets-grocery stores, convenience stores, full-service restaurants, quick-service restaurants, schools, and other outlets-to the total energy intake and Healthy Eating Index (HEI)-2015 scores in the United States population, by urbanization level (nonmetropolitan statistical areas [MSAs], small-to-medium MSAs, and large MSAs). METHODS: Data from the National Health and Nutrition Examination Survey 2013-2018 were used. Dietary intake from one 24-h dietary recall was analyzed by the outlet where a food or beverage was obtained and by urbanization. Linear regression, adjusted for sex, age, race and Hispanic origin, and family income, was used to predict the contribution of each food outlet to the total energy intake and HEI-2015 total and component scores by urbanization level. RESULTS: During 2013-2018, foods and beverages from grocery stores and quick-service and full-service restaurants contributed to 62.1%, 15.1%, and 8.5% of the energy intake, respectively. The percentage of energy intake from full- and quick-service restaurants increased with increasing urbanization level. HEI-2015 total scores increased with the increasing urbanization level overall (48.1 non-MSAs, 49.2 small-to-medium MSAs, and 51.3 large MSAs) for grocery stores (46.7 non-MSAs, 48.0 small-to-medium MSAs, and 50.6 large MSAs) and for quick-service restaurants (35.8 non-MSAs, 36.3 small-to-medium MSAs, and 37.5 large MSAs). CONCLUSIONS: Grocery stores and restaurants were the largest contributors of energy intake in urban and rural areas. Diet quality improved with increasing urbanization overall and for grocery stores and quick-service restaurants.

Trends in Food Consumption Among Children Aged 1-4 Years by Participation in the Special Supplemental Nutrition Program for Women, Infants, and Children, United States, 2005-2018.

BACKGROUND: In 2009, the US Department of Agriculture Food and Nutrition Service's Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) food packages were revised to include more whole fruits, vegetables, whole grains, and lower-fat milk. OBJECTIVE: The aim of this study was to describe trends over time in the consumption of fruits (total and whole), vegetables, whole grains, milk (whole, reduced fat, low-fat or nonfat (LFNF), and flavored), and added sugars, including breakfast cereals, by WIC participation status (current WIC recipient, WIC income-eligible nonrecipient, and WIC income-ineligible nonrecipient). METHODS: Dietary intakes on a given day for 1- to 4-y-old children (n = 5568) from the 2005-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed to examine trends in the percentage of individuals consuming and amounts consumed over time using linear regression adjusted for age, sex, and race and Hispanic origin. RESULTS: From 2005 through 2018, the percentage of WIC recipients or WIC income-eligible nonrecipients consuming fruits and vegetables on a given day did not change, but the percentage of fruit consumed as whole fruit increased significantly among WIC recipients (36.4%-62.1%), but not among income-eligible nonrecipients. Among the WIC recipients, the percentage of consumption (5.5%-29.3%), the amount of LFNF milk servings consumed (0.1-0.4 cups), and the percentage of the total milk consumed as LFNF milk (4.8%-27%) significantly increased from 2005 to 2018. Conversely, the percentage of energy (12.3%-10.8%) and servings (11.4-10.6 teaspoons) from added sugars declined significantly. Among WIC-eligible nonrecipients, the servings of whole grains increased significantly, whereas servings and percentage of energy from added sugars declined significantly. CONCLUSIONS: From 2005 through 2018, changes in dietary patterns for WIC recipients did not always mirror those of US children of the same age. The percentage of fruit consumed as whole fruit, and the percentage and quantity of milk consumed as LFNF milk increased significantly among WIC recipients, but not among income-eligible nonrecipients. J Nutr 20XX;xx:xx-xx.

Top sources and trends in consumption of total energy and energy from solid fats and added sugars among youth aged 2-18 years: United States 2009-2018.

BACKGROUND: High energy intake from non-nutrient-dense sources correlates with poorer diet quality. OBJECTIVES: The aims were to 1) estimate total energy intake and energy from solid fats and added sugars combined (SoFAS) and identify their top food category sources for ages 2-18 y in 2015-2018 and 2) describe trends over time in 2009-2018. METHODS: Data were from the NHANES. Pairwise differences were examined using univariate t statistics (2015-2018, n = 5038), and trends by age and over time (2009-2018, n = 14,038) were examined using orthogonal polynomials. RESULTS: In 2015-2018, SoFAS contributed a mean (SE) of 30.0% (0.3%) of total energy. Solid fats [16.1% (0.2%)] and added sugars [13.8% (0.2%)] each contributed >10%. The contribution of added sugars increased with age from 11.1% (2-3 y) to 14.4% (14-18 y), and was higher for all other race/Hispanic origins than non-Hispanic Asians. The top 5 sources of energy were sweet bakery products, savory snacks, pizza, other mixed dishes, and unflavored milk, and for SoFAS also included soft drinks, other desserts, candy, and snack bars. Total energy did not change between 2009 and 2018, but energy from SoFAS, and servings of solid fats, and added sugars declined. The contribution of unflavored milk to total energy declined for all ages and most race/Hispanic origins. Fruit drinks (all ages) and soft drinks (9-18 y) remained among top added sugars sources despite declines. The contribution of sweet bakery products to energy from SoFAS increased for most ages and candy and snack bars to energy from added sugars. CONCLUSIONS: In 2015-2018, SoFAS contributed >30% of total energy for ages 2-18 y, which doubled the Dietary Guidelines for Americans' recommended limit of 15%. The top 5 sources of total energy were similar to those of solid fats, and those of SoFAS similar to those of added sugars. These results may inform public health efforts for improving diet quality.

The Contribution of Discrete Vegetables, Mixed Dishes, and Other Foods to Total Vegetable Consumption: US Ages 2 Years and Over, 2017-2018.

BACKGROUND: The 2020-2025 Dietary Guidelines for Americans recommend intake of a variety of vegetables, including dark green, red, and orange vegetables and starchy and other vegetables. OBJECTIVES: This study aims to describe sociodemographic differences in the contribution of different categories of vegetables and the form in which they are consumed (ie, discrete vegetables, mixed dishes, and other foods such as savory snacks to total vegetable intake on a given day). DESIGN: This is a cross-sectional, secondary analysis of the 2017-2018 National Health and Nutrition Examination Survey. PARTICIPANTS/SETTING: This study included the data of 7122 persons aged 2 years with reliable day 1 24-hour dietary recalls. MAIN OUTCOME MEASURES: Serving equivalents of vegetables from 20 discrete categories of vegetables and from mixed dishes and other foods as a percentage of total vegetables. STATISTICAL ANALYSES: Pairwise differences by age, sex, race, Hispanic origin, and family income were examined using univariate t statistics, and trends by age and income were examined using orthogonal polynomials. RESULTS: Mean serving equivalents of vegetables was 1.4 cups. The serving equivalents increased with age among youth, was higher among non-Hispanic Asian (NHA) persons than other subgroups, and increased with increasing family income. Overall, discrete vegetables contributed 55.2% of total vegetable intake, and the contribution increased with age in adults and with increasing family income. The top 5 discrete vegetable contributors were other vegetables and combinations, french fries and other fried white potatoes, lettuce and lettuce salads, mashed potatoes and white potato mixtures, and baked or boiled white potatoes. Nonstarchy discrete vegetables contributed more to total vegetables for adults (37.6%) than youth (28.0%), and the contribution increased with increasing family income. On the other hand, the contribution of mixed dishes and other foods decreased with increasing family income. CONCLUSIONS: Discrete vegetables only contributed 55.2% of total vegetable intake, and the top sources were not varied. Three of them potato based, which may explain the reported low vegetable intake, relative to the 2020-2025 Dietary Guidelines for Americans. More than one-third of vegetables consumed were nonstarchy discrete vegetables, many of which are high in vitamins. Nonstarchy discrete vegetable intake was higher in adults than youth and increased with family income.

A Standardized Assessment of Processed Red Meat and Processed Poultry Intake in the US Population Aged ≥2 Years Using NHANES.

BACKGROUND: Standardized methods are needed to investigate intake patterns of processed meat subtypes, considering health concerns surrounding processed meat intake. OBJECTIVES: The objectives of this study were to create a standardized method of disaggregating processed meat into processed red meat and processed poultry and describe intake patterns of the US population aged ≥2 y. METHODS: Two researchers independently manually disaggregated processed meat from the Food Patterns Equivalents Database into processed red meat and processed poultry based on available information from the Foods and Nutrient Database for Dietary Studies. We created an SAS program (called Processed Meat Categories) to mimic the manual coding. We used the program to describe intake patterns and trends over time of processed red meat and processed poultry using 24-h recalls from 2007-2008 through 2017-2018 NHANES data with SAS survey-weighted procedures for complex surveys. RESULTS: The SAS program had high agreement with the manual code (Pearson concordance correlation ≥0.95). Of the US population aged ≥2 y, 46.8% (95% CI: 45.3, 48.2%) reported consuming any processed meat, 42.5% (95% CI: 41.0, 43.9%) reported consuming processed red meat, and 11.3% (95% CI: 10.2, 12.4%) reported consuming processed poultry. Most [74.1 ± 0.13% (SEM)] processed meat reported was red meat compared with poultry, and 32.1 ± 0.01% of total red meat and 13.7 ± 0.01% of total poultry reported were processed. Prevalence of processed poultry intake increased from 9.5% (95% CI: 8.9, 10.1%) in 2007-2010 to 11.3% (95% CI: 10.2, 12.4%) in 2015-2018 (P < 0.0001), but mean intake amount did not change. Prevalence of processed red meat intake did not change over time, but mean intake decreased from 0.8 ± 0.03 ounce-equivalents in 2007-2010 to 0.7 ± 0.02 ounce-equivalents (P = 0.0058) in 2015-2018. CONCLUSIONS: The Processed Meat Categories SAS program is a tool available for researchers to standardize estimates of processed meat subtypes for future dietary patterns research. Intake of total processed meat did not change in the United States, but intake amount of processed red meat decreased and the prevalence of processed poultry consumers increased.

Osteoporosis or Low Bone Mass in Older Adults: United States, 2017-2018.

Osteoporosis is the most common bone disease and is characterized by weakening of bone tissue, bone structure, and strength, and may lead to increased risk of fractures (1). Low bone mass increases the risk of developing osteoporosis (2). In the United States in 2010, an estimated 10.2 million people aged 50 and over had osteoporosis and about 43.3 million more people had low bone mass (3). This report provides prevalence estimates of osteoporosis and low bone mass among adults aged 50 and over in the United States in 2017-2018.

Fruit and Vegetable Consumption Among Adults in the United States, 2015-2018.

The Dietary Guidelines for Americans, 2015-2020 suggest that a healthy eating pattern include consuming a variety of different fruit and vegetables (1). Fruits and vegetables are sources of many essential nutrients, such as vitamins, minerals, and fiber, and consumption is associated with decreased risk of chronic disease (1-3). This report examines the percentage of adults aged 20 and over who consumed fruit and vegetables on a given day by sex and income in 2015-2018 and trends in fruit and vegetable consumption.

Fruit and Vegetable Consumption Among Children and Adolescents in the United States, 2015-2018.

The Dietary Guidelines for Americans (DGA), 2015-2020 (1), recommends consuming different types of vegetables, including dark green, red or orange, starchy, and other vegetables, and fruit, especially whole fruit. Fruits and vegetables are part of healthy eating patterns; they are sources of many essential nutrients, fiber and phytochemicals, and are associated with decreased risk of chronic diseases (1-3). This report examines the percentage of children and adolescents aged 2-19 who consumed fruits and vegetables on a given day in 2015-2018.

Nonalcoholic Beverage Consumption Among Adults: United States, 2015-2018.

Beverages play a substantial role in meeting total water intake needs and are a major contributor to overall nutrient and caloric intake for the U.S. population (1,2). The 2015-2020 Dietary Guidelines for Americans recommend that water, fat-free and low-fat milk, and 100% juice be the primary beverages consumed (2). This report provides estimates of the contribution of beverage types to total nonalcoholic beverage consumption, by grams, for U.S. adults.

Toward a Better Understanding of Listeriosis Risk among Older Adults in the United States: Characterizing Dietary Patterns and the Sociodemographic and Economic Attributes of Consumers with These Patterns.

ABSTRACT: Older adults are at higher risk of invasive listeriosis compared with the general population. Some foods are more likely than others to be contaminated with or to contain high levels of Listeria monocytogenes. The objectives of this study were to (i) determine dietary consumption patterns among older adults in the United States; (ii) evaluate sociodemographic and economic characteristics of older adults associated with each pattern; (iii) determine intake of foods associated with larger relative risk of listeriosis within these patterns; and (iv) rank these patterns based on risk. Data related to older adults (age 60 and older) participating in the cross-sectional National Health and Nutrition Examination Surveys (NHANES) 2009 to 2010, 2011 to 2012, and 2013 to 2014 (n = 4,967) were included in these analyses. Cluster analysis was used to define dietary patterns based on 24-h dietary recalls from day 1 and day 2. Mean intake of foods associated with higher risk of listeriosis was examined within each pattern, and analysis of variance with Dunnett's method of adjustment was used to evaluate significant differences in mean intake of foods. Patterns were ranked based on relative risk of listeriosis, using outbreak illness attribution data. Five distinct dietary patterns were identified. Patterns ranked at highest relative risk of listeriosis, based on U.S. outbreak illness attribution data, were characterized by relatively higher intakes of fruits, vegetables, and cheeses (∼13% respondents) or cereal, milk, and yogurt (∼14% respondents). Individuals consuming these dietary patterns differed in sex, race, food security, self-rated diet quality, and self-rated health. Cluster analysis, despite methodological limitations, provides new information on consumption, sociodemographic, and economic characteristics of subgroups within susceptible populations, which may be used to target educational messages.

Validity of the Food Insecurity Experience Scale for Use in Sub-Saharan Africa and Characteristics of Food-Insecure Individuals.

BACKGROUND: The Food Insecurity Experience Scale (FIES) is a UN FAO-Voices of the Hungry project (FAO-VoH) metric of food insecurity (FI). The FAO-VoH tested the psychometric properties of FIES with the use of global 2014 Gallup World Poll (GWP) data. However, similarities in its psychometric structure in sub-Saharan Africa (SSA) to allow aggregation of SSA results were untested. OBJECTIVES: We aimed to 1) assess the validity of FIES for use in SSA, 2) determine the prevalence of FI by country, age group, and gender, and 3) examine the sociodemographic and economic characteristics of individuals with FI. METHODS: The Rasch modeling procedure was applied to data collected by GWP in 2014 and 2015 on 57,792 respondents aged ≥19 y in SSA. RESULTS: FIES largely met the Rasch model assumptions of equal discrimination and conditional independence. However, 34.3% of countries had high outfits (≥2.0) for the item "went without eating for a whole day." Four countries had significant correlations for the items "were hungry but did not eat" and "ran out of food." The overall prevalence of severe FI (SFI) was 36.4%, ranging from 6.0% in Mauritius to 87.3% in South Sudan. Older adults were at significantly higher risk of SFI than younger adults (38.6% and 35.8%, respectively, P < 0.0001), and women more than men (37.3% and 35.4%, respectively, P < 0.0001). Higher proportions of individuals with SFI were rural residents, less educated, lower income, unemployed, and lived in households with many children under the age of 15 y. CONCLUSIONS: FIES has acceptable levels of internal validity for use in SSA. However, the item "went without eating for a whole day" may need cognitive testing in a few SSA countries. For countries with correlated items, 1 of the items may be excluded.

Dietary supplement research portfolio at the NIH, 2009-2011.

The U.S. dietary supplement market increased by 7.5% in 2012 compared with 2011, reaching $32.5 billion in sales. Therefore, federally supported research on dietary supplements is important to determine their health effects, safety, and efficacy. A portfolio analysis was performed across the NIH and the Office of Dietary Supplements (ODS) for fiscal years (FYs) 2009-2011 by using the databases Human Nutrition Research Information Management (HNRIM) and Computer Access to Research on Dietary Supplements (CARDS). The results indicated that total NIH dietary supplement-related funding for FYs 2009-2011 was $855 million ($295 million in 2009, $311 million in 2010, and $249 million in 2011). The institutes and centers with the highest investment in dietary supplement research were as follows: the National Heart, Lung, and Blood Institute ($135 million); the National Cancer Institute ($188 million); the National Center for Complementary and Alternative Medicine ($99 million); the National Institute of Diabetes and Digestive and Kidney Diseases ($68 million); the National Institute of Environmental Health Sciences ($58 million); and the ODS ($32 million). The dietary supplement ingredients receiving the most funding were botanicals (22%), vitamins (20%), lipids (14%), and minerals and trace elements (10%). The top 3 outcome research areas were cancer (61% of total dietary supplement investment), cardiovascular disease (47%), and women's reproductive health (38%). In FYs 2009, 2010, and 2011, the ODS provided 3.5%, 3.6%, and 4.1%, respectively, of the NIH investment in dietary supplement research. ODS funding focused on cellular, enzymatic, or molecular mechanisms (64% of total ODS funding). This portfolio analysis demonstrates that the NIH has committed substantial funding to dietary supplement research in an effort to expand the scientific knowledge base on the efficacy and safety of dietary supplements.

NIH and USDA funding of dietary supplement research, 1999-2007.

Over one-half of U.S. adults use dietary supplements, so federally supported research into the safety and effectiveness of these compounds is important for the health of many Americans. Data collected in the Computer Access to Research on Dietary Supplements database, which compiles federally sponsored dietary supplement-related research, are useful to scientists in determining the type of dietary supplement research that federal agencies are currently funding and where research gaps exist. This article describes the dietary supplement-related research funded by the NIH and the USDA. Between fiscal years 1999 and 2007, the number of research projects and funding for dietary supplement research more than doubled. During that period, NIH funded 6748 dietary supplement-related projects at a cost of $1.9 billion and the USDA funded 2258 projects at a cost of $347 million. The top funded dietary supplement ingredient categories were vitamins and minerals, botanicals, phytochemicals, and fatty acids. Cancer was by far the most frequent health outcome in dietary supplement research funding, nearly double the next closest health outcome category. Other health outcomes with the greatest funding were cellular and molecular mechanisms, cardiovascular health, women's reproductive health, and immune function. The greatest number of dietary supplement research projects are funded by the NIH National Cancer Institute, the NIH National Center for Complementary and Alternative Medicine, the NIH Office of Dietary Supplements, and the USDA Agricultural Research Service.