Trends in types of protein in US adults: results from the National Health and Nutrition Examination Survey 1999-2010

Reduced red and processed meat consumption is associated with lower diet costs in US households: a national analysis of protein substitutions

OBJECTIVE

To examine the association between red and processed meat consumption and total food expenditures in US households and explore whether households could reduce food costs by substituting these meats with other protein sources such as poultry, seafood, eggs and plant proteins.

DESIGN

Cross-sectional study using data from the National Household Food Acquisition and Purchase Survey (FoodAPS). Using adult male equivalents (AME) for standardisation, we categorised red and processed meat purchases into quintiles. We used generalised linear models to explore the association between red or processed meat consumption and food expenditures and the cost effect of substituting meat with other proteins.

SETTING

United States.

PARTICIPANTS

Data from 4739 households with valid acquisition information from FoodAPS, a stratified multistage probability sample of US households.

RESULTS

Higher red and processed meat consumption were both significantly associated with higher total weekly food expenditures, particularly among households with low income. Substituting red or processed meat with poultry, eggs or plant proteins did not significantly affect overall food expenditures, whereas replacing meat with seafood, especially varieties high in n-3 fatty acids, led to increased costs.

CONCLUSIONS

Reducing red and processed meat consumption could offer savings for households, particularly those with low income. Although substitutions with seafood high in n-3 could increase expenses, alternative protein sources like poultry and plant proteins may serve as cost-neutral replacements. Public health strategies should emphasise dietary shifts' economic, health and environmental benefits and aim to make nutritious yet affordable protein sources more accessible.

Augmenting the National Nutrition Data System to Promote Diet Sustainability Analyses

Research on sustainable diets has become an important and growing area of the nutrition field, but recent studies have pointed to a lack of sustainability metrics and methods that are hindering research and policy progress. To fill this gap, the White House National Strategy on Hunger, Nutrition, and Health calls for increased funding to improve metrics, data collection, and research to address all domains of sustainability, which include nutrition/health, economic, environmental, and social domains. Commodity recipe databases, such as the Food Commodity Intake Database (FCID), are important tools for conducting diet sustainability analyses because they translate mixed dishes from dietary surveys, such as the National Health and Nutrition Examination Survey (NHANES), into commodity ingredients. These ingredients have been linked to data on environmental impacts and economic costs from other databases, thus facilitating collaboration between nutrition researchers, environmental scientists, economists, and others. These linkages cannot be made with other components of the national nutrition data system, such as the Food Patterns Equivalents Database (FPED), because the disaggregated food groups from them are not relevant for examining environmental impacts. Although the NHANES is conducted on an ongoing basis, and FPED is continually updated, the FCID has not been officially updated since 2010. This severely limits advancements in sustainability research and related policy analyses. In this commentary, we argue that the federal government should promote this diet sustainability work by integrating a commodity recipe database into the national nutrition data system, and updating it on a regular basis, as it does with other component databases.

Demographic and Socioeconomic Correlates of Disproportionate Beef Consumption among US Adults in an Age of Global Warming

Concern for the environment when making dietary choices has grown as the contribution of the food sector to global greenhouse gas emissions becomes more widely known. Understanding the correlates of beef eating could assist in the targeting of campaigns to reduce the consumption of high-impact foods. The objective of this study was to identify the demographic, socioeconomic, and behavioral correlates of disproportionate beef consumption in the United States. We analyzed 24-h dietary recall data from adults (n = 10,248) in the 2015-2018 National Health and Nutrition Examination Survey (NHANES). Disproportionate beef consumption was defined as an intake greater than four ounce-equivalents per 2200 kcal. Associations of this indicator variable with gender, age, race/ethnicity, education, family income, diet knowledge, and away-from-home meals were assessed using logistic regression, incorporating survey design and weighting. Disproportionate beef diets were consumed by 12% of individuals, but accounted for half of all beef consumed. Males were more likely than females (p < 0.001) to consume these diets. This relationship was seen in all bivariate and multivariable models. Older adults, college graduates, and those who looked up the MyPlate educational campaign online were less likely (p < 0.01) to consume a disproportionate beef diet. While almost one-third of reported consumption came from cuts of beef (e.g., steak or brisket), six of the top ten beef sources were mixed dishes: burgers, meat mixed dishes, burritos and tacos, frankfurters, soups, and pasta. Efforts to address climate change through diet modification could benefit from targeting campaigns to the highest consumers of beef, as their consumption accounts for half of all beef consumed.

Environmental and Climate Impact Perceptions in University Students: Sustainability Motivations and Perceptions Correspond With Lower Red Meat Intake

BACKGROUND

Red meat production is a leading contributor to food-related greenhouse gas emissions. Decreasing red meat intake can mitigate climate change and lower risk of diet-related diseases.

OBJECTIVE

The goal of this study is to evaluate university students' perceptions of climate-friendly behaviors and to assess how these perceptions are associated with the frequency of red meat intake.

DESIGN

Cross-sectional survey SETTING: A large, public California university and a large, public Michigan university PARTICIPANTS: Undergraduate students from a California university (n = 721) and a Michigan university (n = 568) MAIN OUTCOME MEASURES: Perceptions of climate-friendly behaviors and frequency of red meat intake STATISTICAL ANALYSIS: Differences in perceptions by student characteristics were compared using t-tests and one-way analysis of variance. Associations between perceptions of climate-friendly behaviors and red meat intake frequency were examined using generalized linear models, adjusted for sociodemographic covariates.

RESULTS

Across both universities, students rated reducing meat intake as less effective than other climate change mitigation behaviors such as recycling and using less plastic. However, students who reported (1) making food and beverage choices that "are good for the environment," (2) making food and beverage choices that "reduce climate change impact," or (3) agreeing that "eating less meat is an effective way to combat climate change" reported 10% to 25% lower frequency of red meat intake for each point higher on the agreement scale. In contrast, making food and beverage choices motivated by health was not associated with frequency of red meat intake.

CONCLUSIONS

Sustainability motivations and perceptions of meat's climate impact were associated with lower frequency of red meat intake, despite the overall moderate rating of eating less meat as an effective climate change mitigator. This research lends support to behavioral interventions, public education campaigns, and policies aiming to reinforce sustainable dietary patterns in young adults.

Disparity in Dairy Servings Intake by Ethnicity and Age in NHANES 2015-2018

Background

Dairy products, especially milk, provide vital nutrients including several under consumed nutrients and nutrients of public health concern to the American diet. However, milk and dairy intake has been decreasing in recent years.

Objectives

The goal of this study was to provide an update of current milk and dairy intakes across the lifespan and to stratify these data by race/ethnicity.

Methods

The NHANES cycles 2015-2016 and 2017-2018 were used to determine dairy intake from foods included in USDA-defined dairy food groups as well as from "other foods," such as mixed dishes (for example, pizza) and nonmilk and dairy foods containing dairy (for example, desserts).

Results

Total dairy intake in cup equivalents per day decreased across the lifespan (2-8 y: 1.93; 14-18 y: 1.74; 19-50 y: 1.55; and 71+ y: 1.35 cup eq/d). Milk intake also decreased across the lifespan from 2 y to 51-70 and 71+ y, where milk intakes increased slightly than those of 19-50 y (0.61, 0.75, and 0.58 cup eq/d, respectively). Non-Hispanic Black and non-Hispanic Asian children and adults consumed the least dairy servings compared to other race/ethnic groups. "Other foods" contributed large percentages of dairy intake and accounted for more intake by adults (47.6%) than young children (25.9%) and adolescents (41.5%).

Conclusions

This study showed total dairy intake decreased across the lifespan, but "other foods" make a significant contribution to dairy intake, indicating their importance in helping Americans to meet DGA recommendations and nutrient needs. Further research is warranted to identify why these decreases and differences between ethnicities in dairy intake occur during childhood and throughout adulthood.

Trends in Diet Quality by Race/Ethnicity among Adults in the United States for 2011-2018

This study aimed to investigate time trends in diet quality and the consumption of major food groups and nutrients by race/ethnicity among adults in the United States. Dietary data from 19,192 adults aged ≥ 20 years from four National Health and Nutrition Survey (NHANES) cycles (2011-2018) were included. The Healthy Eating Index (HEI) 2015 scores (range: 0-100; higher scores indicate better diet quality) and dietary consumption of food groups and nutrients were estimated for each cycle. Linear regression was used to test trends. For the overall population, the estimated overall HEI-2015 scores significantly decreased (p for trend = 0.011). However, decreases were observed in the estimated consumption of added sugars and total carbohydrates, while the estimated consumption of soy products and polyunsaturated fatty acids was significantly increased. A significant decrease in overall HEI-2015 score was observed in the non-Hispanic white group, but not in other racial/ethnic groups. Decreases in added sugar intake were found in the non-Hispanic black and Hispanic groups; sodium intake significantly decreased in the non-Hispanic Asian group. From 2011 to 2018, there was a decrease in estimated overall diet quality in US adults; however, there were improvements in certain nutrients and dietary components. Nevertheless, disparities in diet quality exist among racial/ethnic groups.

Diet Sustainability Analyses Can Be Improved With Updates to the Food Commodity Intake Database

Diet sustainability analyses inform policymaking decisions and provide clinicians and consumers with evidence-based information to make dietary changes. In the United States, the Food Commodity Intake Database (FCID) provides a crosswalk for integrating nationally representative data on food intake from the National Health and Nutrition Examination Survey (NHANES) with data on sustainability outcomes from other publicly available databases. However, FCID has not been updated since 2010 and does not link with contemporary NHANES data, which limits further advancements in sustainability research. This study fills this research gap by establishing novel linkages between FCID and NHANES 2011-2018, comparing daily per capita food intake with and without these linkages, and making these data publicly available for use by other researchers. To update FCID, two investigators independently established novel data linkages, a third investigator resolved discrepancies, and a fourth investigator audited linkages for accuracy. Dietary data were acquired from nearly 45,000 adults from 2001 to 2018, and food intake was compared between updated vs. non-updated FCID versions. Total food intake from 2011 to 2018 was 5-23% higher using the updated FCID compared to the non-updated version, and intake was over 100% higher in some years for some food categories including poultry, eggs, legumes, starchy vegetables, and tropical oils (P < 0.001 for all comparisons). Further efforts may be needed to create new food composition data to reflect new products and reformulations that enter the food supply over time. This study removes a barrier to further diet sustainability analyses by establishing a data crosswalk between contemporary NHANES and other publicly available databases on agricultural resource use, environmental impacts, and consumer food expenditures.

Food Sources and Expenditures for Seafood in the United States

The aim of this study was to explore United States (U.S.) seafood consumption patterns, food sourcing, expenditures, and geography of consumption. We analyzed seafood intake and food sourcing using the National Health and Nutrition Examination Survey (NHANES) cycles 2007-2008 to 2015-2016 for US adults ≥19 years old (n = 26,743 total respondents; n = 4957 respondents consumed seafood in the past 24 h). Seafood expenditures were extrapolated by combining NHANES with three other public datasets. U.S. adults consumed 63% of seafood (by weight) at home. The top sources of seafood (by weight) were food retail (56%), restaurants (31%), and caught by the respondent or someone they know (5%). Sixty-five percent of consumer expenditures for seafood were at restaurants and other "away from home" sources while 35% were at retail and other "at home" sources. Slightly less than half of overall U.S. food expenditures are "away from home," which is much lower than for seafood, suggesting that consumers have very different spending habits for seafood than for an aggregate of all foods.

Skeletal muscle loss phenotype in cirrhosis: A nationwide analysis of hospitalized patients

BACKGROUND & AIMS

There are very limited data on the healthcare burden of muscle loss, the most frequent complication in hospitalized cirrhotics. We determined the healthcare impact of a muscle loss phenotype in hospitalized cirrhotics.

METHODS

The Nationwide Inpatient Sample (NIS) database (years 2010-2014) was analyzed. Search terms included cirrhosis and its complications, and an expanded definition of a muscle loss phenotype that included all conditions associated with muscle loss. In-hospital mortality, length of stay (LOS), post-discharge disposition, co-morbidities and cost during admission were analyzed. Univariate and multivariate analyses were performed to identify associations between a muscle loss phenotype and outcomes. Impact of muscle loss in cirrhotics was compared to that in a random sample (2%) of general medical inpatients.

RESULTS

A total of 162,694 hospitalizations for cirrhosis were reported, of which 18,261 (11.2%) included secondary diagnosis codes for a muscle loss phenotype. A diagnosis of muscle loss was associated with a significantly (p < 0.001 for all) higher mortality (19.3% vs 8.2%), LOS (14.2 ± 15.8 vs. 4.6 ± 6.9 days), and median hospital charge per admission ($21,400 vs. $8573) and a lower likelihood of discharge to home (30.1% vs. 60.2%). All evaluated outcomes were more severe in cirrhotics than general medical patients (n = 534,687). Multivariate regression analysis showed that a diagnosis of muscle loss independently increased mortality by 130%, LOS by 80% and direct cost of care by 119% (p < 0.001 for all). Alcohol use, female gender, malignancies and other organ dysfunction were independently associated with muscle loss.

CONCLUSIONS

Muscle loss contributed to higher mortality, LOS, and direct healthcare costs in hospitalized cirrhotics.

Trends in types of protein in US adolescents and children: Results from the National Health and Nutrition Examination Survey 1999-2010

BACKGROUND

It is unclear if the intakes of different types of protein have changed over time.

OBJECTIVE

We delineated trends in types of protein (beef, pork, lamb or goat, chicken, turkey, fish, dairy, eggs, legumes, and nuts and seeds) in US children (2-<12 years) and adolescents (12-19 years) from 1999 to 2010.

METHODS

We used 6 repeated cross-sectional surveys (National Health and Nutrition Examination Survey 1999-2010, n≥1,665 for children; n≥1,156 for adolescents) to test for linear trends in the intake of types of protein (grams per kilogram of body weight) among children and adolescents, and according to sociodemographic groups and participation in food assistance programs.

RESULTS

Among children, pork intake (0.76 to 0.51 g/kg) decreased, but chicken (0.98 to 1.28 g/kg), all poultry (1.18 to 1.55 g/kg), egg (0.63 to 0.69 g/kg), and legume (0.35 to 0.54 g/kg) intake increased (all P<0.05). Among adolescents, beef intake decreased (0.92 to 0.67 g/kg) whereas chicken (0.59 to 0.74 g/kg) and all poultry (0.72 to 0.86 g/kg) intake increased from 1999 to 2010 (all P<0.01). Participants of the Women, Infants, and Children (WIC) increased the intake of chicken and dairy (all P<0.05) over time whereas no significant trend was observed for income-eligible non-participants. Fish intake did not change in any age group, and recommended types of protein (poultry, fish, nuts and seeds) declined among children of lower socioeconomic status.

CONCLUSIONS

Intake of recommended types of protein increased among children, adolescents and WIC participants. However, subgroup analyses suggest socioeconomic disparities.

Significant Amounts of Functional Collagen Peptides Can Be Incorporated in the Diet While Maintaining Indispensable Amino Acid Balance

The results of twenty years of research indicate that the inclusion of collagen peptides in the diet can lead to various improvements in health. According to the current protein quality evaluation method PDCAAS (Protein Digestibility-corrected Amino Acid Score), collagen protein lacks one indispensable amino acid (tryptophan) and is therefore categorized as an incomplete protein source. Collagen protein displays a low indispensable amino acid profile, yet as a functional food, collagen is a source of physiologically active peptides and conditionally indispensable amino acids that have the potential to optimize health and address physiological needs posed by aging and exercise. The objective of this study was to determine the maximum level of dietary collagen peptides that can be incorporated in the Western pattern diet while maintaining its indispensable amino acid balance. Iterative PDCAAS calculations showed that a level as high as 36% of collagen peptides can be used as protein substitution in the daily diet while ensuring indispensable amino acid requirements are met. This study suggests that the effective amounts of functional collagen peptides (2.5 to 15 g per day) observed in the literature are below the maximum level of collagen that may be incorporated in the standard American diet.