What North American retail food environment indices miss in Guatemala: Cultural considerations for the study of place and health.

We evaluated the cross-context validity and equivalence of the US- and Canada-originated Retail Food Environment Index (RFEI) and modified RFEI (mRFEI) against a retail food environment dataset from the indigenous-majority city of Quetzaltenango (Xela), Guatemala. The RFEI/mRFEI failed to identify 77% of retailers and misclassified the healthiness of 42% of the remaining retailers in Xela, inaccurately labeling the city a food swamp. The RFEI/mRFEI are not currently suitable for mapping retail food environments in places like Quetzaltenango. Alternative functional and temporal classifications of retail food environments may provide measures with greater contextual fit, highlighting important cultural considerations for the study of place and dietary health.

Using Real-World Electronic Health Record Data to Assess Chronic Disease Screening in Children: A Case Study of Non-Alcoholic Fatty Liver Disease.

Background: Data sources for assessing pediatric chronic diseases and associated screening practices are rare. One example is non-alcoholic fatty liver disease (NAFLD), a common chronic liver disease prevalent among children with overweight and obesity. If undetected, NAFLD can cause liver damage. Guidelines recommend screening for NAFLD using alanine aminotransferase (ALT) tests in children ≥9 years with obesity or those with overweight and cardiometabolic risk factors. This study explores how real-world data from electronic health records (EHRs) can be used to study NAFLD screening and ALT elevation. Research Design: Using IQVIA's Ambulatory Electronic Medical Record database, we studied patients 2-19 years of age with body mass index ≥85th percentile. Using a 3-year observation period (January 1, 2019 to December 31, 2021), ALT results were extracted and assessed for elevation (≥1 ALT result ≥22.1 U/L for females and ≥25.8 U/L for males). Patients with liver disease (including NAFLD) or receiving hepatotoxic medications during 2017-2018 were excluded. Results: Among 919,203 patients 9-19 years of age, only 13% had ≥1 ALT result, including 14% of patients with obesity and 17% of patients with severe obesity. ALT results were identified for 5% of patients 2-8 years of age. Of patients with ALT results, 34% of patients 2-8 years of age and 38% of patients 9-19 years of age had ALT elevation. Males 9-19 years of age had a higher prevalence of ALT elevation than females (49% vs. 29%). Conclusions: EHR data offered novel insights into NAFLD screening: despite screening recommendations, ALT results among children with excess weight were infrequent. Among those with ALT results, ALT elevation was common, underscoring the importance of screening for early disease detection.

Examination of Prediabetes and Diabetes Testing Among US Pediatric Patients With Overweight or Obesity Using an Electronic Health Record.

Background: Youth with excess weight are at risk of developing type 2 diabetes (T2DM). Guidelines recommend screening for prediabetes and/or T2DM after 10 years of age or after puberty in youth with excess weight who have ≥1 risk factor(s) for T2DM. Electronic health records (EHRs) offer an opportunity to study the use of tests to detect diabetes in youth. Methods: We examined the frequency of (1) diabetes testing and (2) elevated test results among youth aged 10-19 years with at least one BMI measurement in an EHR from 2019 to 2021. We examined the presence of hemoglobin A1C (A1C), fasting plasma glucose (FPG), or oral glucose tolerance test (2-hour plasma glucose [2-hrPG]) results and, among those tested, the frequency of elevated values (A1C ≥6.5%, FPG ≥126 mg/dL, or 2-hrPG ≥200 mg/dL). Patients with pre-existing diabetes (n = 6793) were excluded. Results: Among 1,024,743 patients, 17% had overweight, 21% had obesity, including 8% with severe obesity. Among patients with excess weight, 10% had ≥1 glucose test result. Among those tested, elevated values were more common in patients with severe obesity (27%) and obesity (22%) than in those with healthy weight (8%), and among Black youth (30%) than White youth (13%). Among patients with excess weight, >80% of elevated values fell in the prediabetes range. Conclusions: In youth with excess weight, the use of laboratory tests for prediabetes and T2DM was infrequent. Among youth with test results, elevated FPG, 2hrPG, or A1C levels were most common in those with severe obesity and Black youth.

Trends in Severe Obesity Among Children Aged 2 to 4 Years in WIC: 2010 to 2020.

OBJECTIVES: To examine the prevalence and trends in severe obesity among 16.6 million children aged 2 to 4 years enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) from 2010 to 2020. METHODS: Severe obesity was defined as a sex-specific BMI for age ≥120% of the 95th percentile on the Centers for Disease Control and Prevention growth charts or BMI ≥35 kg/m2. Joinpoint regression was used to identify when changes occurred in the overall trend. Logistic regression was used to compute the adjusted prevalence differences between years controlling for sex, age, and race and ethnicity. RESULTS: The prevalence of severe obesity significantly decreased from 2.1% in 2010 to 1.8% in 2016 and then increased to 2.0% in 2020. From 2010 to 2016, the prevalence decreased significantly among all sociodemographic subgroups except for American Indian/Alaska Native (AI/AN) children. The largest decreases were among 4-year-olds, Asian/Pacific Islander and Hispanic children, and children from higher-income households. However, from 2016 to 2020, the prevalence increased significantly overall and among sociodemographic subgroups, except for AI/AN and non-Hispanic white children. The largest increases occurred in 4-year-olds and Hispanic children. Among 56 WIC agencies, the prevalence significantly declined in 17 agencies, and 1 agency (Mississippi) showed a significant increase from 2010 to 2016. In contrast, 21 agencies had significant increases, and only Alaska had a significant decrease from 2016 to 2020. CONCLUSIONS: Although severe obesity prevalence in toddlers declined from 2010 to 2016, recent trends are upward. Early identification and access to evidence-based family healthy weight programs for at-risk children can support families and child health.

Probability of 5% or Greater Weight Loss or BMI Reduction to Healthy Weight Among Adults With Overweight or Obesity.

Importance: Information on the probability of weight loss among US adults with overweight or obesity is limited. Objective: To assess the probability of 5% or greater weight loss, 10% or greater weight loss, body mass index (BMI) reduction to a lower BMI category, and BMI reduction to the healthy weight category among US adults with initial overweight or obesity overall and by sex and race. Design, Setting, and Participants: This cohort study obtained data from the IQVIA ambulatory electronic medical records database. The sample consists of US ambulatory patients 17 years or older with at least 3 years of BMI information from January 1, 2009, to February 28, 2022. Minimum age was set at 17 years to allow for the change in BMI or weight starting at 18 years. Maximum age was censored at 70 years. Exposures: Initial BMI (calculated as weight in kilograms divided by height in meters squared) category was the independent variable of interest, and the categories were as follows: lower than 18.5 (underweight), 18.5 to 24.9 (healthy weight), 25.0 to 29.9 (overweight), 30.0 to 34.9 (class 1 obesity), 35.0 to 39.9 (class 2 obesity), and 40.0 to 44.9 and 45.0 or higher (class 3 or severe obesity). Main Outcomes and Measures: The 2 main outcomes were 5% or greater weight loss (ie, a ≥5% reduction in initial weight) and BMI reduction to the healthy weight category (ie, BMI of 18.5-24.9). Results: The 18 461 623 individuals in the sample had a median (IQR) age of 54 (40-66) years and included 10 464 598 females (56.7%) as well as 7.7% Black and 72.3% White patients. Overall, 72.5% of patients had overweight or obesity at the initial visit. Among adults with overweight and obesity, the annual probability of 5% or greater weight loss was low (1 in 10) but increased with higher initial BMI (from 1 in 12 individuals with initial overweight to 1 in 6 individuals with initial BMI of 45 or higher). Annual probability of BMI reduction to the healthy weight category ranged from 1 in 19 individuals with initial overweight to 1 in 1667 individuals with initial BMI of 45 or higher. Both outcomes were generally more likely among females than males and were highest among White females. Over the 3 to 14 years of follow-up, 33.4% of persons with overweight and 41.8% of persons with obesity lost 5% or greater of their initial weight. At the same time, 23.2% of persons with overweight and 2.0% of persons with obesity reduced BMI to the healthy weight category. Conclusions and Relevance: Results of this cohort study indicate that the annual probability of 5% or greater weight loss was low (1 in 10) despite the known benefits of clinically meaningful weight loss, but 5% or greater weight loss was more likely than BMI reduction to the healthy weight category, especially for patients with the highest initial BMIs. Clinicians and public health efforts can focus on messaging and referrals to interventions that are aimed at clinically meaningful weight loss (ie, ≥5%) for adults at any level of excess weight.

State-Specific Prevalence of Severe Obesity Among Adults in the US Using Bias Correction of Self-Reported Body Mass Index.

INTRODUCTION: Adults with severe obesity are at increased risk for poor metabolic health and may need more intensive clinical and community supports. The prevalence of severe obesity is underestimated from self-reported weight and height data. We examined severe obesity prevalence among US adults by sociodemographic characteristics and by state after adjusting for self-report bias. METHODS: Using a validated bias-correction method, we adjusted self-reported body mass index (BMI) data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) by using measured data from the National Health and Nutrition Examination Survey. We compared bias-corrected prevalence of severe obesity (BMI ≥40) with self-reported estimates by sociodemographic characteristics and state. RESULTS: Self-reported BRFSS data significantly underestimated the prevalence of severe obesity compared with bias-corrected estimates. In 2020, 8.8% of adults had severe obesity based on the bias-corrected estimates, whereas 5.3% of adults had severe obesity based on self-reported data. Women had a significantly higher prevalence of bias-corrected severe obesity (11.1%) than men (6.5%). State-level prevalence of bias-corrected severe obesity ranged from 5.5% (Massachusetts) to 13.2% (West Virginia). Based on bias-corrected estimates, 16 states had a prevalence of severe obesity greater than 10%, a level not seen in the self-reported estimates. CONCLUSION: Self-reported BRFSS data underestimated the overall prevalence of severe obesity by 40% (5.3% vs 8.8%). Accurate state-level estimates of severe obesity can help public health and health care decision makers prioritize and plan to implement effective prevention and treatment strategies for people who are at high risk for poor metabolic health.

Characteristics Associated with Being a High Consumer of Sweet Foods and Sugar-Sweetened Beverages among US Adults during the COVID-19 Pandemic, 2021.

BACKGROUND: The COVID-19 pandemic impacted some dietary habits of Americans. OBJECTIVE: We examined characteristics associated with a high intake of sweet foods and sugar-sweetened beverages (SSB) during the COVID-19 pandemic among US adults. DESIGN: This was a cross-sectional study. PARTICIPANTS/SETTINGS: The SummerStyles survey data were collected in 2021 among 4034 US adults (≥18 years). MAIN OUTCOME MEASURES: The frequencies were measured of consuming various sweet foods (chocolate/candy, doughnuts/sweet rolls/Danish/muffins/Pop-Tarts, cookies/cake/pie/brownies, and ice cream/frozen desserts) and SSB (regular sodas, sweetened coffee/tea drinks fruit drinks, sports drinks, and energy drinks) during the COVID-19 pandemic. The responses were categorized into 0, >0 to <1, 1 to <2, and ≥2 times/day. The descriptive variables were sociodemographics, food insecurity, weight status, metropolitan status, census regions, and eating habit changes during the COVID-19 pandemic. STATISTICAL ANALYSES PERFORMED: Multinomial regressions were used to estimate adjusted odds ratios (AOR) for being a high consumer of sweet foods and SSB after controlling for characteristics. RESULTS: During 2021, 15% of adults reported consuming sweet foods ≥2 times/day, and 30% reported drinking SSB ≥2 times/day. The factors that were significantly associated with greater odds of high sweet food intake (≥2 times/day) were lower household income (AOR = 1.53 for <$35,000 vs. ≥$100,000), often/sometimes experiencing food insecurity (AOR = 1.41 vs. never), and eating more sweet foods than usual since start of the pandemic (AOR = 2.47 vs. same as usual). The factors that were significantly associated with greater odds of high SSB intake (≥2 times/day) were males (AOR = 1.51), lower education (AOR = 1.98 for ≤high school; AOR = 1.33 for some college vs. college graduate), currently having children (AOR = 1.65), living in nonmetropolitan areas (AOR = 1.34), and drinking more SSB than usual since the pandemic began (AOR = 2.23 vs. same as usual). Younger age, Black race, and reductions in consumption during COVID-19 were related to lower sweet food and SSB intakes. CONCLUSIONS: Our findings, which identified high consumers of sweet foods or SSB, can be used to inform efforts to reduce consumers' added sugars intake during pandemic recovery and support their health.

Associations between Knowledge of Health Risks and Sugar-Sweetened Beverage Intake among US Adolescents.

BACKGROUND: Sugar-sweetened beverage (SSB) intake is associated with adverse health outcomes. OBJECTIVE: We examined associations between the knowledge of health risks related to SSB and SSB intake among adolescents. DESIGN: A cross-sectional study using 2021 YouthStyles survey data. PARTICIPANTS/SETTINGS: 831 US adolescents (12-17 years old). MAIN OUTCOME MEASURES: The outcome variable was SSB intake (none, 1-6 times/week, and ≥1 time/day). Exposure variables were knowledge of seven SSB-related health risks. STATISTICAL ANALYSES PERFORMED: Seven multinomial regressions were used to estimate adjusted odds ratios (AOR) for drinking SSB, according to knowledge of SSB-related health risks and after controlling for sociodemographics. RESULTS: Overall, 29% of adolescents consumed SSB ≥1 time/day. Although most adolescents identified cavities (75.4%), weight gain (74.6%), and diabetes (69.7%) as being related to drinking SSB, fewer adolescents identified related conditions such as high blood pressure (31.7%), high cholesterol (25.8%), heart disease (24.6%), and some cancers (18.0%). Compared to non-SSB consumers, drinking SSB ≥1 time/day was significantly higher among adolescents who lacked knowledge of associations between SSB intake and weight gain (AOR = 2.0), heart disease (AOR = 1.9), or some cancers (AOR = 2.3) after controlling for covariates. CONCLUSIONS: Among US adolescents, knowledge of SSB-related health risks varied by condition, ranging from 18% (some cancers) to 75% (cavities and weight gain). There were increased odds of drinking SSB among those unaware that weight gain, heart disease, and some cancers are associated with SSB intake. Intervention could evaluate whether increasing certain types of knowledge may influence youth SSB intake.

Occasions, Locations, and Reasons for Consuming Sugar-Sweetened Beverages among U.S. Adults.

Frequent intake of sugar-sweetened beverages (SSBs) is associated with adverse health outcomes such as obesity, type 2 diabetes, and cardiovascular disease. Little is known about when, where, and why U.S. adults consume SSBs. This study, using data from an online survey distributed in 2021, examined the occasions, locations, and reasons for consuming SSBs and the characteristics of the adults who consume them. Nearly 7 of 10 adults reported consuming a SSB (1-6 times) in the past 7 days, and more than a third (38%) reported doing so once or more per day (on average). For comparative purposes, the sample was limited to adults who reported consuming SSBs within the last 7 days. Mealtimes were reported as the most frequent occasion for the intake of SSBs (43%) and SSBs were most often consumed at home (70%). Over half of respondents (56%) reported they consume SSBs because they enjoy the taste. Younger adults (18-34 years old) were more likely to consume SSBs in social settings than older adults (≥50 years old). Hispanic adults were less likely to consume SSBs at the beginning of the day compared to non-Hispanic White adults. Younger (18-34 years old) and middle-aged (35-49 years old) adults were more likely to consume SSBs in restaurants, at work, and in cars than older adults (≥50 years old). Women were less likely to consume SSBs at work than men. Hispanic adults were less likely to consume SSBs in cars than non-Hispanic White adults, while those earning USD 50,000-

Fruit, Vegetable, and Sugar-Sweetened Beverage Intake Among Young Children, by State - United States, 2021.

Good nutrition in early childhood supports optimal growth, development, and health (1). Federal guidelines support a dietary pattern with daily fruit and vegetable consumption and limited added sugars, including limited consumption of sugar-sweetened beverages (1). Government-published dietary intake estimates for young children are outdated at the national level and unavailable at the state level. CDC analyzed data from the 2021 National Survey of Children's Health (NSCH)* to describe how frequently, according to parent report, children aged 1-5 years (18,386) consumed fruits, vegetables, and sugar-sweetened beverages, nationally and by state. During the preceding week, approximately one in three (32.1%) children did not eat a daily fruit, nearly one half (49.1%) did not eat a daily vegetable, and more than one half (57.1%) drank a sugar-sweetened beverage at least once. Estimates of consumption varied by state. In 20 states, more than one half of children did not eat a vegetable daily during the preceding week. In Vermont, 30.4% of children did not eat a daily vegetable during the preceding week, compared with 64.3% in Louisiana. In 40 states and the District of Columbia, more than one half of children drank a sugar-sweetened beverage at least once during the preceding week. The percentage of children drinking sugar-sweetened beverages at least once during the preceding week ranged from 38.6% in Maine to 79.3% in Mississippi. Many young children are not consuming fruits and vegetables daily and are regularly consuming sugar-sweetened beverages. Federal nutrition programs and state policies and programs can support improvements in diet quality by increasing access to and availability of fruits and vegetables and healthy beverages in places where young children live, learn, and play.

The value of the Nutrition and Obesity Policy Research and Evaluation Network in advancing the evidence base for effective nutrition and obesity policy: assessment using the Consolidated Framework for Collaborative Research.

INTRODUCTION: Addressing nutrition disparities and preventing obesity require multi-level interventions, including policies that address the nutrition environment and other social determinants of health. The Nutrition and Obesity Policy Research Evaluation Network (NOPREN) was established in 2009 to conduct transdisciplinary research and accelerate the translation and implementation of science-based policy interventions. This study examined NOPREN's collaborative practices and identified opportunities to improve network impact. METHODS: Using a mixed-methods approach, we combined quantitative survey data (n = 106) and in-depth, qualitative interviews (n = 18) to evaluate the experiences of NOPREN members and understand the extent to which NOPREN was achieving its goals. RESULTS: Using the Consolidated Framework for Collaborative Research (CFCR), quantitative and qualitative results were organized into 11 themes. We find that NOPREN's structure and standardized processes facilitate connections to individuals and resources, foster relationships, and support effective cross-sector collaborations. Areas of improvement include capacity building and a more intentional approach towards recruitment of a diverse membership. CONCLUSION: A collaborative research network can build synergy across sectors and accelerate knowledge transfer. These findings will be used to inform the network's strategic priorities to maximize impact. Findings may also inform similar collaborative efforts for addressing complex public health problems.

Perceptions of Water Safety and Tap Water Taste and Their Associations With Beverage Intake Among U.S. Adults.

OBJECTIVES: Examine differences in perceptions of tap water (TW) and bottled water (BW) safety and TW taste and their associations with plain water (PW) and sugar-sweetened beverage (SSB) intake. DESIGN: Quantitative, cross-sectional study. SETTING: United States. SUBJECTS: 4,041 U.S. adults (≥18 years) in the 2018 SummerStyles survey data. MEASURES: Outcomes were intake of TW, BW, PW (tap and bottled water), and SSB. Exposures were perceptions of TW and BW safety and TW taste (disagree, neutral, or agree). Covariates included sociodemographics. ANALYSIS: We used chi-square analysis to examine sociodemographic differences in perceptions and multivariable logistic regressions to estimate adjusted odds ratios (AOR) for consuming TW ≤ 1 cup/day, BW > 1 cup/day, PW ≤ 3 cups/day, and SSB ≥ 1 time/day by water perceptions. RESULTS: One in 7 (15.1%) of adults did not think their home TW was safe to drink, 39.0% thought BW was safer than TW, and 25.9% did not think their local TW tasted good. Adults who did not think local TW was safe to drink had higher odds of drinking TW ≤ 1 cup/day (AOR = 3.12) and BW >1 cup/day (AOR = 2.69). Adults who thought BW was safer than TW had higher odds of drinking TW ≤1 cup/day (AOR = 2.38), BW > 1 cup/day (AOR = 5.80), and SSB ≥ 1 time/day (AOR = 1.39). Adults who did not think TW tasted good had higher odds of drinking TW ≤ 1 cup/day (AOR = 4.39) and BW > 1 cup/day (AOR = 2.91). CONCLUSIONS: Negative perceptions of TW safety and taste and a belief BW is safer than TW were common and associated with low TW intake. Perceiving BW is safer than TW increased the likelihood of daily SSB intake. These findings can guide programs and services to support water quality to improve perceptions of TW safety and taste, which might increase TW intake and decrease SSB intake.

High Added Sugars Intake among US Adults: Characteristics, Eating Occasions, and Top Sources, 2015-2018.

The 2020−2025 Dietary Guidelines for Americans (DGA) recommends less than 10% of total daily calories come from added sugars. However, many adults overconsume added sugars putting them at risk for poor health outcomes. We examined characteristics of high added sugars consumers among US adults (≥20 years) and described their top 10 sources of added sugars intake using National Health and Nutrition Examination Survey 2015−2018 data (n = 9647). We defined high consumers as consuming >15% of daily calories from added sugars (1.5 times higher than the DGA). We used the National Cancer Institute method to estimate usual intake of energy and percent of calories from added sugars. Top 10 sources were identified based on their percentage contribution to total added sugars intake on a given day. T-tests were used to examine differences by age, sex, race/ethnicity, education, income, marital status, and weight status. Overall, mean usual total energy intake and added sugars intake was 2068 kcal/day and 264 kcal/day, respectively, and 30% of adults were classified as high consumers. The prevalence of high added sugars consumers was significantly higher among 20−30-year-olds (29%), 31−50-year-olds (33%), and 51−70-year-olds (29%) than those aged ≥70 years (22%); non-Hispanic Black (39%) and non-Hispanic White (31%) adults than Hispanics (26%); adults with

Children and Adolescents in the United States with Usual High Added Sugars Intake: Characteristics, Eating Occasions, and Top Sources, 2015-2018.

Background: High consumption of added sugars is related to adverse health consequences. Objective: The objective of this study was to examine characteristics of US youth who report high intakes of added sugars, as well as the eating occasions and top sources of added sugars that contributed to intakes among consumers with high added sugars intake. Design and participants/setting: We conducted a cross-sectional study using 2015−2018 NHANES data among 5280 US youths (2−19 years). Main outcome measures: Outcome measure was usual percent of calories from added sugars using 2 days of dietary recall based on the National Cancer Institute method. High consumers were defined as consuming greater than 15% of total daily calorie intake from added sugars (1.5 times higher than the 2020−2025 Dietary Guidelines for Americans recommendation of <10% of total daily calorie intake). Explanatory measures were selected sociodemographics (e.g., age, sex, race/ethnicity). Eating occasions were breakfast, lunch, dinner, and snack. Statistical analyses performed: We used t-tests to compare mean differences between sociodemographic groups. Results: Overall, 34% of US youths were classified as high consumers of added sugars. The prevalence of high consumers of added sugars significantly varied by some sociodemographics (i.e., age, race/ethnicity, and head of household's education level). The prevalence of high added sugars consumers was significantly greater among 12−19-year-olds (41%) and 6−11-year-olds (37%) compared to 2−5-year-olds (19%), non-Hispanic Black (42%) and non-Hispanic White (42%) persons compared to Hispanic persons (19%), and those with a head of household's education level of high school/some college (40%) compared to households with college degree or higher (29%). The prevalence of high consumers did not differ by sex, income, or weight status. Of eating occasions, the amount of added sugars youths consumed was highest during snack occasions among high consumers. Top five sources of added sugars among high consumers on a given day were sweetened beverages, sweet bakery products, candy, other desserts, and ready-to-eat cereals. Conclusion: One in three US youths consumed more than 15% of total calories from added sugars. High added sugars intake was more prevalent among certain subgroups such as 12−19-year-olds and non-Hispanic Black or non-Hispanic White youth. Our findings can provide information for intervention efforts to decrease added sugars intake to promote child health.

Consumption of Added Sugars by States and Factors Associated with Added Sugars Intake among US Adults in 50 States and the District of Columbia-2010 and 2015.

Purpose: The high intake of added sugars from foods or beverages increases the risk of obesity, hypertension, dyslipidemia, and cardiovascular disease. Because state-level data are lacking, we estimated dietary intake of added sugars by state and factors associated with intake among US adults. Design: Nationally representative, cross-sectional, in-person, household survey. Setting: 50 states and DC. Sample: 52,279 US adults from pooled data from 2010 and 2015 National Health Interview Surveys. Measures: Estimated total added sugars intake (tsp/day) using the National Cancer Institute's scoring algorithm that converts responses from the Dietary Survey Questionnaire screener to estimated total added sugars intake (tsp/day). Analysis: Mean dietary-added sugars intake estimates and standard error were calculated for adults' characteristics and by state for all 50 states and the District of Columbia. Differences by adult's characteristics were assessed by pairwise t-tests (p < 0.05). All analyses accounted for complex survey design and sampling weights. Results: Overall, US adults consumed 17.0 tsp of added sugars/day (range: 14.8 tsp/day in Alaska to 1.2 tsp/day in Kentucky). Added sugars intake varied by states and sociodemographic characteristics. Conclusion: Findings may inform efforts to reduce added sugars intake to lower the high burden of chronic disease.

Children's rates of BMI change during pre-pandemic and two COVID-19 pandemic periods, IQVIA Ambulatory Electronic Medical Record, January 2018 Through November 2021.

OBJECTIVE: Many US youth experienced accelerated weight gain during the early COVID-19 pandemic. Using an ambulatory electronic health record data set, the authors compared children's rates of BMI change in three periods: pre-pandemic (January 2018-February 2020), early pandemic (March-December 2020), and later pandemic (January-November 2021). METHODS: This study used mixed-effects models to examine differences in rates of change in BMI, weight, and obesity prevalence among the three periods. Covariates included time as a continuous variable, a variable indicating in which period each BMI was taken, sex, age, and initial BMI category. RESULTS: In a longitudinal cohort of 241,600 children aged 2 through 19 years with ≥4 BMI measurements, the monthly rates of BMI change (kilograms per meters squared) were 0.056 (95% CI: 0.056-0.057) in the pre-pandemic period, 0.104 (95% CI: 0.102-0.106) in the early pandemic, and 0.035 (95% CI: 0.033-0.036) in the later pandemic. The estimated prevalence of obesity in this cohort was 22.5% by November 2021. CONCLUSIONS: In this large, geographically diverse cohort of US youth, accelerated rates of BMI change observed during 2020 were largely attenuated in 2021. Positive rates indicate continued weight gain rather than loss, albeit at a slower rate. Childhood obesity prevalence remained high, which raises concern about long-term consequences of excess weight and underscores the importance of healthy lifestyle interventions.

Advancing Healthy Food Service in the United States: State Food Service Guidelines Policy Adoption and Implementation Supports, 2015-2019.

PURPOSE: Food service guidelines (FSG) policies can impact the nutritional quality of millions of meals sold or served to government employees, citizens in public places, or institutionalized persons. This study examines state FSG policies adopted January 1, 2015 to April 1, 2019, and uses a FSG Classification Tool (FSG Tool) to quantify alignment with nutrition recommendations for public health impact. DESIGN: Quantitative Content Analysis. SETTING: State Government Worksites and Facilities. PARTICIPANTS: 50 states and District of Columbia (D.C.) in the United States. MEASURES: Frequency of policies and percent alignment to FSG tool. ANALYSIS: FSG policies were identified using legal databases to assess state statutes, regulations, and executive orders. Content analysis and coding determined attributes of policies across 4 FSG Tool domains, (1) nutrition standards referenced; (2) behavioral design strategies encouraging selection of healthier offerings; (3) facility efficiency and environmental sustainability; and (4) FSG implementation supports. RESULTS: From 2015-2019, 5 FSG policies met study inclusion criteria. Four out of 5 policies earned a perfect nutrition score (100%) by referencing nutrition standards that align with the Dietary Guidelines for Americans (DGA) and are operationalized for use in food service venues. Four out of 5 policies included at least 1 implementation supports provision, such as naming an implementing agency, and 2 included provisions that encourage local food sourcing. CONCLUSION: From 2015-2019, overall FSG policy comprehensiveness scores ranged from 24% to 73%, with most policies referencing food and nutrition standards that align to national nutrition recommendations. Public health practitioners can educate decision makers on the potential impact of FSG policies on diet-related health outcomes and associated cost savings, as well as other important co-benefits that support locally grown products and environmental sustainability practices.