Whose Plate Is It? Awareness of MyPlate Among US Adults Over Time Since Implementation.

BACKGROUND: MyPlate is a tool designed to educate the general US population on how to eat in alignment with the Dietary Guidelines for Americans; yet, there is a lack of data on who has heard of MyPlate over time. OBJECTIVE: The objective of this analysis was to examine the prevalence of awareness of MyPlate within the US population and if awareness changes differentially over time. DESIGN: This study was a serial, cross-sectional survey. PARTICIPANTS/SETTING: Three survey waves of data (2013-2018) were used from the National Health and Nutrition Examination Survey of adults aged 20 years or older (n = 17,023). MAIN OUTCOME MEASURES: Percentage of the US adult population who had heard of MyPlate was measured and stratified by sex, age, citizenship status, education, household food security status, income, receipt of Supplemental Nutrition Assistance Program (SNAP) benefits, and receipt of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) benefits. STATISTICAL ANALYSES PERFORMED: Global Wald tests were used to assess whether prevalence of awareness of MyPlate differed by sociodemographic characteristics. Tests of homogeneity using likelihood ratio tests of nested logistic regression models were used to assess whether differences in awareness of MyPlate by various sociodemographic characteristics changed over time from 2013 to 2018. RESULTS: Twenty percent (19.5%) (n = 875) of the analytic sample of participants aged 20 years and older had heard of MyPlate in 2013-2014, 24.5% (n = 1,020) in 2015-2016, and 24.6% (n = 1,086) in 2017-2018. Awareness of MyPlate changed differentially over time (P value < .1) from 2013 to 2018 by income, household food security status, and receipt of SNAP benefits, with slower increases in awareness for households with lowest income over time, narrowing of differences in awareness by household food security status over time, and persistent differences in awareness by receipt of SNAP benefits over time. CONCLUSIONS: These results highlight the current low awareness of MyPlate, disparities in awareness of MyPlate immediately after implementation by sociodemographic characteristics, and increases in awareness over time at differential rates within levels of income, food security status, and ever receipt of SNAP benefits. Given that the Dietary Guidelines for Americans 2025-2030 are currently in development, new strategies should be considered to disseminate tools that translate the updated Dietary Guidelines in such a way that reach the general population equitably upon implementation within the United States.

Development of a Community Coalition to Influence Nutrition and Physical Activity in Early Childhood Education.

BACKGROUND: Recognizing insufficient support for healthy eating and physical activity in early childhood education centers in Greenville, South Carolina, a group of stakeholders formed a workgroup as an organizing structure. Members developed and implemented a 2-year community-based participatory research initiative aimed at nutrition and physical activity policy, systems and environment change in 10 early childhood education centers. OBJECTIVES: This article 1) describes engagement efforts and partnerships leading to formation of the workgroup and initiative, 2) presents data on Workgroup members' knowledge and engagement, and 3) shares lessons learned. METHODS: Workgroup member knowledge and engagement related to obesity prevention was measured at two time points during the ECE initiative using the "Stakeholder-driven Community Diffusion Survey." LESSONS LEARNED: Knowledge and engagement scores increased over the measurement period. Scores for engagement were higher than scores for knowledge at both time points. There was a substantial increase in perceived leadership and stewardship, knowledge of intervention factors and how to intervene sustainably, and understanding of local resources and roles. An important strength was stakeholder buy-in and ownership of planning and implementation processes.

Risk Management of COVID-19 in the Residential Educational Setting: Lessons Learned and Implications for Moving Forward.

With limited COVID-19-guidelines for institutions of higher education (IHEs), colleges and universities began the 2020-2021 academic year with varying approaches. We present a comprehensive COVID-19 prevention and mitigation approach at a residential university during the 2020-2021 academic year, along with campus SARS-CoV-2 transmission during this time. Risk management of COVID-19 was facilitated through (1) a layered approach of primary, secondary, and tertiary prevention measures; (2) a robust committee structure leveraging institutional public health expertise; (3) partnerships with external health entities; and (4) an operations system providing both structure and flexibility to adapt to changes in disease activity, scientific evidence, and public health guidelines. These efforts collectively allowed the university to mitigate SARS-CoV-2 transmission on campus and complete the academic year offering in-person learning on a residential campus. We identified 36 cases of COVID-19 among the 2037 in-person learners during the fall semester, 125 cases in the inter-semester break, and 169 cases among 2095 in-person learners during the spring semester. SARS-CoV-2 infection during the academic year was associated with gender (p = 0.04), race/ethnicity (p = 0.01), and sorority/fraternity membership (p < 0.01). Infection was not associated with undergraduate vs. graduate student status, Division I athlete status, or housing type (all p > 0.05). A multi-faceted public health approach was critical for reducing the impact of COVID-19 while carrying out the university's educational mission.

Recent underweight and overweight trends by rural-urban residence among women in low- and middle-income countries.

BACKGROUND: Long-term trends mask critical recent dynamics in the prevalence of under- and overweight. OBJECTIVE: The objective of this study was to compare annualized prevalence rates of both under- and overweight among nonpregnant women aged 19-49 y during the periods covering 1) the 1990s-the early 2000s and 2) the early 2000s-the late 2000s or early 2010s, by rural-urban residence. METHODS: Data are from nationally representative surveys (29 Demographic and Health Surveys and 4 national surveys). Standardized protocols were used to measure weight and height. Underweight was defined as body mass index (BMI) < 18.5 kg/m(2) and overweight as BMI ≥ 25 kg/m(2). RESULTS: From the 1990s to the early 2000s, most countries were making progress on decreasing the prevalence of underweight, especially in rural areas. Although many countries continued to make progress more recently, several countries in Sub-Saharan Africa that previously had a decreasing prevalence of underweight now have an increasing prevalence of underweight. For example, in rural areas of Senegal, the prevalence of underweight decreased 0.23% annually between 1992 and 2005, then increased 1.60% annually between 2005 and 2010. Meanwhile, the prevalence of overweight is increasing in nearly all countries, and in approximately half of all countries, the rate of increase is greater in rural areas than in urban areas. Although underweight persists as more prevalent than overweight in rural areas of many East Asian, South Asian, and Sub-Saharan African countries, the ratio of underweight to overweight in many countries has decreased over time, indicating that this trend is reversing. CONCLUSIONS: Select countries in Sub-Saharan Africa may be more susceptible to food crises and should be targets for intervention. At the same time, global health efforts need to focus on preventing overweight, particularly in rural areas, which are quickly catching up to their urban counterparts.

An approach to monitor food and nutrition from "factory to fork".

BACKGROUND: Accurate, adequate, and timely food and nutrition information is necessary in order to monitor changes in the US food supply and assess their impact on individual dietary intake. OBJECTIVE: Our aim was to develop an approach that links time-specific purchase and consumption data to provide updated, market representative nutrient information. METHODS: We utilized household purchase data (Nielsen Homescan, 2007-2008), self-reported dietary intake data (What We Eat in America [WWEIA], 2007-2008), and two sources of nutrition composition data. This Factory to Fork Crosswalk approach connected each of the items reported to have been obtained from stores from the 2007-2008 cycle of the WWEIA dietary intake survey to corresponding food and beverage products that were purchased by US households during the equivalent time period. Using nutrition composition information and purchase data, an alternate Crosswalk-based nutrient profile for each WWEIA intake code was created weighted by purchase volume of all corresponding items. Mean intakes of daily calories, total sugars, sodium, and saturated fat were estimated. RESULTS: Differences were observed in the mean daily calories, sodium, and total sugars reported consumed from beverages, yogurts, and cheeses, depending on whether the Food and Nutrient Database for Dietary Studies 4.1 or the alternate nutrient profiles were used. CONCLUSIONS: The Crosswalk approach augments national nutrition surveys with commercial food and beverage purchases and nutrient databases to capture changes in the US food supply from factory to fork. The Crosswalk provides a comprehensive and representative measurement of the types, amounts, prices, locations and nutrient composition of consumer packaged goods foods and beverages consumed in the United States. This system has potential to be a major step forward in understanding the consumer packaged goods sector of the US food system and the impacts of the changing food environment on human health.

Regulations to promote healthy sleep practices in child care.

OBJECTIVES: The purpose of this study was to assess state licensing and administrative regulations promoting healthy sleep practices in child care and to compare these regulations to national recommendations. METHODS: We reviewed regulations related to healthy sleep practices for all states and territories for both child care centers (centers) and family child care homes (homes). We compared regulations with Institute of Medicine recommendations to promote sleep in child care, including (1) create environments that ensure restful sleep; (2) encourage sleep-promoting behaviors and practices; (3) encourage practices that promote child self-regulation of sleep; and (4) seek consultation yearly from a sleep expert. We used Cochran-Mantel-Haenszel trend tests to assess associations between geographic region and number of regulations consistent with the recommendations. RESULTS: The mean number of regulations for states was 0.9 for centers and 0.8 for homes out of a possible 4.0. For centers, no state had regulations for all 4 recommendations; 11 states had regulations for 2 of the 4 recommendations. For homes, 9 states had regulations for 2 of the recommendations. States in the Northeast had the greatest mean number of regulations for centers (1.2) and homes (1.1), and states in the South had the fewest (0.7 and 0.7, respectively); these geographic differences were significant for centers (P = .03) but not homes (P = .14). CONCLUSIONS: More states in the Northeast had regulations consistent with the Institute of Medicine sleep recommendations, but overall few states had regulations consistent with the recommendations.

A review of state regulations to promote infant physical activity in child care.

BACKGROUND: The purpose of this study was to review state regulations promoting increased physical activity and decreased sedentary behaviors in infants in child care and to assess consistency with recent Institute of Medicine (IOM) recommendations. METHODS: We compared existing state and territory licensing and administrative regulations to recent IOM recommendations to promote physical activity and decrease sedentary time in very young children attending out-of-home child care (both child care centers and family child care homes). Three independent reviewers searched two sources (a publicly available website and WestlawNext™) and compared regulations with five IOM recommendations: 1) providing daily opportunities for infants to move, 2) engaging with infants on the ground, 3) providing daily tummy time for infants less than six months of age, 4) using cribs, car seats and high chairs for their primary purpose, and 5) limiting the use of restrictive equipment for holding infants while they are awake. We used Pearson chi-square tests to assess associations between geographic region, year of last update, and number of state regulations consistent with the IOM recommendations. RESULTS: The mean (SD) number of regulations for states was 1.9 (1.3) for centers and 1.6 (1.2) for homes out of a possible 5.0. Two states had regulations for all five recommendations, Arizona for centers and Virginia for homes. Six states and territories had zero regulations for child care centers and seven states and territories had zero regulations for family child care homes. There were no significant associations between geographic region and number of regulations consistent with IOM recommendations. CONCLUSIONS: Out-of-home child care settings are important targets for optimal early child health interventions. While most states had some regulations related to the promotion of physical activity among infants, few states had regulations for more than three of the five IOM recommendations. Enhancing state regulations in child care facilities could aid in early childhood obesity prevention efforts.

States lack physical activity policies in child care that are consistent with national recommendations.

BACKGROUND: Child care facilities' policies can importantly impact health behaviors of toddlers and preschoolers. Our aim was to assess state regulations promoting physical activity (PA) in child care and compare regulations to national recommendations. METHODS: We reviewed licensing and administrative regulations related to promoting PA for all states and territories for child care centers (centers) and family child care homes (homes). Three reviewers searched two sources (a publically available website and WestlawNext) and compared regulations with 15 Institute of Medicine recommendations. We used Pearson's and Spearman's correlations to assess associations between geographic region, year of last update, and number of regulations consistent with the recommendations. RESULTS: The average number and range of regulations in centers and homes was 4.1 (standard deviation [SD], 1.4; range, 0-8) and 3.8 (SD, 1.5; range, 0-7), respectively. Nearly all states had regulations consistent with providing an outdoor (centers, 98%; homes, 95%) and indoor (centers, 94%, homes, 92%) environment "with a variety of portable play equipment and adequate space." No state had regulations for staff joining children, avoiding punishment for being physically active, yearly consultation from a PA expert, or providing training/education on PA for providers. CONCLUSIONS: There is room for improvement in child care regulations around PA for young children; PA promotion should be included with future updates to regulations.

The Healthy Weight Commitment Foundation pledge: calories sold from U.S. consumer packaged goods, 2007-2012.

Corporate voluntary pledges to improve the health of Americans have not been held to either explicit measurable outcomes or a framework for independent evaluation. The Healthy Weight Commitment Foundation (HWCF), whose members include 16 of the nation's leading consumer packaged goods (CPG) food and beverage manufacturers, voluntarily pledged to collectively sell 1 trillion fewer calories in the U.S. marketplace by 2012 (against a 2007 baseline), and sell 1.5 trillion fewer calories by 2015. This paper presents the findings of an independent evaluation of the 2012 HWCF marketplace pledge, conducted in 2013. The 16 HWCF companies collectively sold approximately 6.4 trillion fewer calories (-10.6%) in 2012 than in the baseline year of 2007. Taking into account population changes over the 5-year period of 2007-2012, CPG caloric sales from brands included in the HWCF pledge declined by an average of 78 kcal/capita/day. CPG caloric sales from non-HWCF national brands during the same period declined by 11 kcal/capita/day, and there were similar declines in calories from private label products. Thus, the total reduction in CPG caloric sales between 2007 and 2012 was 99 kcal/capita/day. This independent evaluation is the first to evaluate food industry compliance with its calorie reduction pledges and to assess how sales from the CPG food and beverage sector are changing. An accompanying paper investigates the extent to which the HWCF pledge affected household-level changes in CPG calories purchased, controlling for important economic and sociodemographic factors affecting household food purchases over this period.

Shifts in the recent distribution of energy intake among U.S. children aged 2-18 years reflect potential abatement of earlier declining trends.

Recent national surveys suggest that child obesity in the United States may have reached a plateau, but corresponding trends in energy intake have not been examined in depth. This article evaluates medium-term trends in children's reported energy intake by using 4 waves of national dietary surveillance from 2003-2004 to 2009-2010. The analysis uses up to 2 24-h dietary recalls, incorporating methods that address challenges in estimating usual intake, accounting for intraindividual variance and covariates such as the presence of atypical consumption days. Quantile regression was used to assess disparities in intake among sociodemographic subgroups at extremes of the distribution as well as at the median, and the potential influence of misreporting was evaluated. Results indicated that after an initial decline in intakes across all age groups through 2007-2008, there were significant increases of ∼90 kcal/d at the median among adolescents in 2009-2010, whereas intakes in younger children remained steady. Among adolescent boys, the recent increase was larger at the 90th percentile than at the median. Intake trends did not vary by race/ethnic group, among whom intakes were similar at the upper end of the distribution. Misreporting did not influence trends over time, but intakes were lower in younger children and higher in older children after excluding misreporters. Overall, findings suggest that declines in children's energy intake from 2003-2004 through 2007-2008 were consistent with the obesity plateau observed in most age and gender subgroups through 2009-2010. However, there is evidence of increased intakes among adolescents in 2009-2010, which may threaten the earlier abatement in overweight in this older age group.

Turning point for US diets? Recessionary effects or behavioral shifts in foods purchased and consumed.

BACKGROUND: In the past decade, the United States has seen declining energy intakes and plateauing obesity levels. OBJECTIVE: We examined whether these observed trends suggest a longer-term shift in dietary and health behavior that is independent of adverse economic conditions. DESIGN: We used nationally representative cross-sectional surveys on intake and longitudinal household food purchase data along with random-effects models to address this question. Data included individuals in NHANES 2003-2004 to 2009-2010 (children: n = 13,422; adults: n = 10,791) and households from the 2000-2011 Nielsen Homescan Panel (households with children: n = 57,298; households with adults only: n = 108,932). RESULTS: In both data sets, we showed that children decreased their calories the most. Even after we controlled for important socioeconomic factors, caloric purchases fell significantly from 2003 to 2011 (P < 0.001), particularly for households with children. The Great Recession was associated with small increases in caloric purchases, in which a 1-percentage point increase in unemployment in the local market was associated with a 1.6-4.1-kcal · capita⁻¹ · d⁻¹ (P < 0.001) increase in total calories purchased. Results also indicated shifts in caloric purchases were driven more by declines in caloric purchases from beverages than food. CONCLUSIONS: US consumers have exhibited changes in intake and purchasing behavior since 2003 that were independent from changing economic conditions linked with the Great Recession or food prices. Public health efforts in the past decade may have contributed to this trend.

Where are kids getting their empty calories? Stores, schools, and fast-food restaurants each played an important role in empty calorie intake among US children during 2009-2010.

Consumption of empty calories, the sum of energy from added sugar and solid fat, exceeds recommendations, but little is known about where US children obtain these empty calories. The objectives of this study were to compare children's empty calorie consumption from retail food stores, schools, and fast-food restaurants; to identify food groups that were top contributors of empty calories from each location; and to determine the location providing the majority of calories for these key food groups. This cross-sectional analysis used data from 3,077 US children aged 2 to 18 years participating in the 2009-2010 National Health and Nutrition Examination Survey. The empty calorie content of children's intake from stores (33%), schools (32%), and fast-food restaurants (35%) was not significantly different in 2009-2010. In absolute terms, stores provided the majority of empty calorie intake (436 kcal). The top contributors of added sugar and solid fat from each location were similar: sugar-sweetened beverages, grain desserts, and high-fat milk∗ from stores; high-fat milk, grain desserts, and pizza from schools; and sugar-sweetened beverages, dairy desserts, french fries, and pizza from fast-food restaurants. Schools contributed about 20% of children's intake of high-fat milk and pizza. These findings support the need for continued efforts to reduce empty calorie intake among US children aimed not just at fast-food restaurants, but also at stores and schools. The importance of reformed school nutrition standards was suggested, as prior to implementation of these changes, schools resembled fast-food restaurants in their contributions to empty calorie intake.

Solid fat and added sugar intake among U.S. children: The role of stores, schools, and fast food, 1994-2010.

BACKGROUND: Little is known about the role of location in U.S. children's excess intake of energy from solid fat and added sugar, collectively referred to as SoFAS. PURPOSE: The goal of this study was to compare the SoFAS content of foods consumed by children from stores, schools, and fast-food restaurants and to determine whether trends from 1994 to 2010 differ across these locations. METHODS: Children aged 2-18 years (N=22,103) from five nationally representative surveys of dietary intake from 1994 to 2010 were studied. SoFAS content was compared across locations for total intake and key foods. Regression models were used to test and compare linear trends across locations. Data were analyzed in 2012. RESULTS: The mean percentage of total energy intake consumed from each location that was provided by SoFAS remained above recommendations, despite significant improvements between 1994 and 2010 at stores (1994, 38.3%; 2004, 33.2%); schools (1994, 38.7%; 2004, 31.2%); and fast-food restaurants (1994, 34.6%; 2004, 34.6%). For each key food, SoFAS content decreased significantly at stores and schools, yet progress at schools was comparatively slower. Milk was higher in SoFAS at schools compared to stores because of shifts toward flavored milk at schools. Schools provided french fries that were higher in solid fat than store-bought versions and pizza that was not significantly different in SoFAS content than fast-food pizza. However, schools made significantly greater progress for sugar-sweetened beverages, as lower-sugar beverages replaced regular sodas. Key fast foods showed little improvement. CONCLUSIONS: These findings can inform future strategies targeted to the specific locations and foods where continued progress is needed to reduce children's SoFAS consumption.

Trends in food and beverage sources among US children and adolescents: 1989-2010.

Despite the historical rise and recent plateau of child overweight and obesity, levels remain exceedingly high. To understand these trends and identify targets for intervention it is important to examine concomitant trends in children's diets. The objective of our analysis was to describe 21-year trends in total energy intake and the major food and beverage sources of energy among 2- to 18-year-olds in the United States. Six nationally representative surveys were examined in 2012, the Continuing Survey of Food Intakes by Individuals (1989-1991 and 1994-1996, 1998) and the National Health and Nutrition Examination Survey (2003-2004, 2005-2006, 2007-2008, and 2009-2010). Total energy intake among US children and adolescents rose considerably from 1989 to 2004, and subsequently declined through 2010. Seven sources were consistently major contributors across all time points: sugar-sweetened beverages, pizza, full-fat milk, grain-based desserts, breads, pasta dishes, and savory snacks. Intakes of full-fat milk, meats and processed meat products, ready-to-eat cereals, burgers, fried potatoes, fruit juice, and vegetables decreased from 1989-2010 whereas intakes of nonfat milk, poultry, sweet snacks and candies, and tortilla- and corn-based dishes increased linearly over the 21-year period. Significant nonlinear time trends were observed with recent decreases in intakes of sugar-sweetened beverages, pizza, pasta dishes, breads and rolls, and savory snacks and recent increases in intake of fruit. Energy intakes of US children began to decline in 2003-2004 and continued to decline through 2009-2010. However, among preschool children (aged 2 to 5 years) and children from low-income families, total energy intakes in 2009-2010 still remained significantly higher than in 1989-1991.

Foods and beverages associated with higher intake of sugar-sweetened beverages.

BACKGROUND: Although consumption of sugar-sweetened beverages (SSBs) is associated with higher caloric intakes, the amount SSBs contribute to higher intakes has not been addressed. PURPOSE: To estimate the amount SSBs contribute to higher caloric intakes and determine how the diets of SSB consumers and nonconsumers differ. METHODS: The What We Eat In America, NHANES 2003-2010 surveys were combined into a sample of 13,421 children; analyses were conducted in December 2012. To determine the contribution of SSBs to higher caloric intakes, total non-SSB intake (food + non-SSB beverages) of SSB consumers and nonconsumers were compared using linear regression models controlling for demographic and socioeconomic factors. Analyses also compared intakes between nonconsumers and SSB consumers with different amounts of SSB consumption. RESULTS: For children aged 2-5 years and 6-11 years, total non-SSB intakes did not differ between nonconsumers and SSB consumers at any level of SSB consumption, indicating that SSBs were primarily responsible for the higher caloric intakes among SSB consumers. A similar finding was observed among children aged 12-18 years; however, both food and SSB contributed to higher caloric intakes of adolescents consuming ≥500 kcal of SSBs. Among those aged 12-18 years, higher intakes of foods (e.g., pizza, burgers, fried potatoes, and savory snacks) and lower intakes of non-SSB beverages (e.g., fluid milk and fruit juice) were associated with increased SSB intake. CONCLUSIONS: Sugar-sweetened beverages are primarily responsible for the higher caloric intakes of SSB consumers, and SSB consumption is associated with intake of a select number of food and beverage groups, some of which are often unhealthy (e.g., pizza and grain-based desserts).

Food companies' calorie-reduction pledges to improve U.S. diet.

Heretofore, corporate voluntary pledges to improve the health of Americans have been linked neither to explicit measurable commitments nor to a framework for an independent evaluation. The Healthy Weight Commitment Foundation (HWCF), whose members include 16 of the nation's leading consumer packaged goods food and beverage manufacturers, voluntarily pledged to collectively remove 1 trillion calories from their products by 2012 (against a 2007 baseline), and 1.5 trillion calories by 2015. The pledge is designed to reduce the calorie gap commensurate with the HWCF companies' role in the U.S. diet. To date, no system exists for documenting the nutritional and public health impacts of industry-led changes in the food supply on individual diets. The current study represents a unique opportunity to understand how the consumer packaged goods food and beverage sector is changing and how these changes are associated with changes in the American diet. It presents data on national caloric sales from this sector, purchases of these goods by various subpopulations, and methods linking these to individual intakes of Americans. Findings show that HWCF companies accounted for approximately 25% of calories consumed in the U.S. in 2007 and that the 1.5 trillion-calorie pledge (about 14 calories/day/capita) accounts for 0.8% of the calories sold across all consumer packaged goods food and beverage brands in 2007. The authors hope that this evaluation will continue to create models and methods for demonstrating the effects of changes in the food supply on individual diets, particularly among those from vulnerable subpopulations.

Trends in dietary intake among US 2- to 6-year-old children, 1989-2008.

BACKGROUND: Between 1989 and 2008, obesity increased markedly in children of all ages. We examined changes in the diets of children ages 2 to 6 years in the United States between 1989 and 2008. Our study provides new insight into diet changes that might have contributed to the sharp rise in obesity during this period. OBJECTIVE: Our aim was to describe changes in diet among 2- to 6-year-old children from 1989 to 2008 related to sharp rises in obesity during this period. PARTICIPANTS: This analysis included 10,647 children ages 2 to 6 years from the following five nationally representative surveys of dietary intake in the United States: Continuing Survey of Food Intake in Individuals 1989-1991 and 1994-1998 and the What We Eat In America, National Health and Nutrition Examination Surveys 2003-2004, 2005-2006, and 2007-2008. Diet data were categorized into groupings using the University of North Carolina-Chapel Hill approach. STATISTICAL ANALYSES: Analyses were carried out using a single 24-hour dietary recall with appropriate survey weighting. T tests were used to compare means across survey years, with P<0.05 considered significant. RESULTS: During the 20-year period, there were increases in per capita intake of savory snacks (+51 kcal; P<0.01), pizza/calzones (+32 kcal; P<0.01), sweet snacks and candy (+25 kcal; P<0.01), mixed Mexican dishes (+22 kcal; P<0.01), and fruit juice (+18 kcal; P<0.01), and total daily energy intake increased by 109 kcal (from 1,475 to 1,584 kcal) (P<0.05). Fruit intake increased marginally (+24 kcal; P<0.01). Six of the 10 greatest absolute changes in per capita intake between sequential survey years occurred between Continuing Survey of Food Intake in Individuals 1994-1998 and National Health and Nutrition Examination Surveys 2003-2004 (P<0.05). CONCLUSIONS: Foods high in added sugars and solid fats, such as savory snacks, pizza/calzones, mixed Mexican dishes, sweet snacks and candy, and fruit juice, predominated the top changes in per capita consumption between 1989 and 2008.

Use of caloric and noncaloric sweeteners in US consumer packaged foods, 2005-2009.

Our understanding of the use of caloric and noncaloric sweeteners in the US food supply is limited. This study uses full ingredient list and Nutrition Facts label data from Gladson Nutrition Database and nationally representative purchases of consumer packaged foods from Nielsen Homescan in 2005 through 2009 to understand the use of caloric sweeteners (including fruit juice concentrate) and noncaloric sweeteners in consumer packaged foods. Of the 85,451 uniquely formulated foods purchased during 2005 through 2009, 75% contain sweeteners (68% with caloric sweetener only, 1% with noncaloric sweetener only, 6% with both caloric and noncaloric sweeteners). Caloric sweetener are in >95% of cakes/cookies/pies, granola/protein/energy bars, ready-to-eat cereals, sweet snacks, and sugar-sweetened beverages. Noncaloric sweetener are in >33% of yogurts and sport/energy drinks, 42% of waters (plain or flavored), and most dietetic sweetened beverages. Across unique products, corn syrup is the most commonly listed sweetener, followed by sorghum, cane sugar, high-fructose corn syrup, and fruit juice concentrate. Also, 77% of all calories purchased in the United States in 2005-2009 contained caloric sweeteners and 3% contained noncaloric sweeteners, and 73% of the volume of foods purchased contained caloric sweetener and 15% contained noncaloric sweetener. Trends during this period suggest a shift toward the purchase of noncaloric sweetener-containing products. Our study poses a challenge toward monitoring sweetener consumption in the United States by discussing the need and options available to improve measures of caloric sweetener and noncaloric sweetener and additional requirements on Nutrition Facts labels on consumer packaged foods.

Evaluating the indirect effect of infant weight velocity on insulin resistance in young adulthood: a birth cohort study from the Philippines.

The authors assessed the relation between infant weight velocity and adult insulin resistance, specifically evaluating whether adult size and body fat distribution mediated the association. Data were from the Cebu Longitudinal Health and Nutrition Survey (Cebu, the Philippines), in which a birth cohort was followed to age 22 years (n=1,409; 1983-2005). Insulin resistance was measured using homeostasis model assessment of insulin resistance (HOMA-IR). Weight velocity (g/month) from 0 to 4 months and from 0 to 24 months was assessed. The authors examined direct and total associations between early growth and adult HOMA-IR in linear regression models and used a nonparametric bootstrapping procedure to test indirect effects through adult body mass index (BMI; weight (kg)/height (m)(2)) and waist circumference. Infant weight velocity was positively associated with adult BMI and waist circumference, which positively predicted HOMA-IR. There were no total or direct effects of immediate postnatal weight velocity (0-4 months) on adult HOMA-IR, although indirect effects through BMI and waist circumference were significant. Weight velocity from 0 to 24 months positively predicted HOMA-IR among males only, while indirect effects were significant in both sexes. In a relatively lean sample of young adults from a population with rising rates of diabetes and cardiovascular disease, the authors found evidence for small indirect effects of infant weight velocity on adult insulin resistance mediated through adult BMI and waist circumference.