Equitable access to affordable, effective, and safe obesity prevention and treatment remains a problem for many children and families in the U.S. In 2023, the American Academy of Pediatrics (AAP) published its first Clinical Practice Guideline (CPG) for pediatric obesity evaluation and treatment, aiding the field's awareness of effective approaches. CDC has supported the adapting and packaging of existing, effective Family Healthy Weight Programs that deliver CPG-recommended intensive behavioral treatment for kids. Currently, at least six family-centered programs are recognized by CDC and can be implemented in clinical and community settings to support child health. CDC and other national partners are coordinating the movement of these research-tested FHWPs into public health practice. This work includes implementing FHWPs in over 60 US communities and supporting national-level infrastructure improvements. CDC is committed to engaging with stakeholders to help scale proven strategies that ensure all children receive the care they need to thrive.

Given the high and growing prevalence of obesity among adults in the United States, obesity treatment and prevention are important topics in biomedical and public health research. Although researchers recognize the significance of this problem, much remains unknown about safe and effective prevention and treatment of obesity in adults. In response to the worsening obesity epidemic and the many unknowns regarding the disease, a group of key scientific and program staff members of the National Institutes of Health (NIH) and other federal and non-government agencies gathered virtually in September 2021 to discuss the current state of obesity research, research gaps, and opportunities for future research in adult obesity prevention and treatment. The current article synthesizes presentations given by attendees and shares their organizations' current initiatives and identified gaps and opportunities. By integrating the information discussed in the meeting and current initiatives, we identify potential targets and overlapping priorities for future research, including health equity and disparities in obesity, the heterogeneity of obesity, and the use of technological and innovative approaches in interventions.

The COVID-19 pandemic has disproportionately affected the health of food system (FS) essential workers compared with other essential and non-essential workers. Even greater disparity exists for workers in certain FS work settings and for certain FS worker subpopulations. We analyzed essential worker respondents (n = 151,789) in May–Novem-ber 2021 data from the National Immunization Survey Adult COVID Module (NIS-ACM) to assess and characterize COVID-19 vaccination uptake (≥1 dose) and intent (reachable, reluctant), attitudes about COVID-19 and the vaccine, and experiences and difficulties getting the vaccine. We compared rates, overall and by certain characteristics, between workers of the same group, and between FS (n = 17,414) and non–food system (NFS) worker groups (n = 134,375), to determine if differences exist. FS worker groups were classified as “agriculture, forestry, fishing, or hunting” (AFFH; n = 2,730); “food manufacturing facility” (FMF; n = 3,495); and “food and beverage store” (FBS; n = 11,189). Compared with NFS workers, significantly lower percentages of FS workers reported >1 dose of COVID-19 vaccine or vaccine requirements at work or school, but overall vaccine experiences and difficulties among vaccinated FS workers were statistically similar to NFS workers. When we examined intent regarding COVID-19 vaccination among unvaccinated FS workers compared with NFS counterparts, we found a higher percentage of FMF and FBS workers were reachable whereas a higher percentage of AFFH workers were reluctant about vaccination, with differences by sociodemographic characteristics. Overall, results showed differences in uptake, intent, and attitudes between worker groups and by some sociodemographic characteristics. The findings reflect the diversity of FS workers and underscore the importance of collecting occupational data to assess health inequalities and of tailoring efforts to worker groups to improve confidence and uptake of vaccinations for infectious diseases such as COVID-19. The findings can inform future research, adult infectious disease interventions, and emergency management planning. © 2024 by the Authors.

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.

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.

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.

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.

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.

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.

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.

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-<USD 100,000 were more likely to consume SSBs in cars than those earning ≥USD 100,000. Younger and middle-aged adults were more likely to consume SSBs due to cravings and enjoyment of the carbonation compared to older adults. These findings provide insights on specific populations for whom to tailor messaging and adapt interventions to help reduce SSB intake.

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.

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.

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 &lt; 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.

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 &gt;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 &lt;high school (37%), high school/GED (38%), or some college (34%) than adults with college or higher (15%); adults living in lower-income households (39% for federal poverty income ratio &lt; 130% and 35% for 130%-&lt;350%) than high-income households (21%). The prevalence of high consumers did not differ by sex or weight status. Top sources of added sugars were sweetened beverages (42%), tea (12%), sweet bakery products (11%), and jams/syrups/sugars (7%). Our findings can inform intervention efforts to decrease added sugars intake to support health.

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 &lt;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.

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.

Welcome to this supplemental issue of Health Promotion Practice (HPP), “Reducing Chronic Disease through Physical Activity and Nutrition: Public Health Practice in the Field” (https://journals.sagepub.com/toc/hppa/23/1_suppl), which is entirely devoted to practice-based wisdom from the field of nutrition, physical activity, and obesity programs. The specific aims of this supplement are to advance public health research and practice by showcasing innovative community-centered interventions, implementation, adaptations, and evaluations employed by the Centers for Disease Control and Prevention (CDC), Division of Nutrition, Physical Activity, and Obesity (DNPAO) (www.cdc.gov/nccdphpd/dnpao/index.html) cooperative agreement recipients: State Physical Activity and Nutrition Program (SPAN, DP18-1807) (www.cdc.gov/nccdphp/dnpao/state-local-programs/span-1807/index.html), Racial and Ethnic Approaches to Community Health (REACH, DP18-1813) (www.cdc.gov/nccdphp/dnpao/state-local-programs/reach/index.htm), and the High Obesity Programs (HOP, DP18-1809) (www.cdc.gov/nccdphp/dnpao/state-local-programs/hop-1809/high-obesity-program-1809.html).

OBJECTIVE: Many U.S. youth experienced accelerated weight gain during the early COVID-19 pandemic. Using an ambulatory electronic health record dataset, we compared children's rates of BMI change in three periods: prepandemic (January 2018-February 2020), early pandemic (March-December 2020), and later pandemic (January-November 2021). METHODS: We 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 2-19years with 4 BMIs, the monthly rates of BMI change (kg/m(2) ) were 0.056 (95%CI: 0.056, 0.057) prepandemic, 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 U.S. 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. This article is protected by copyright. All rights reserved.

Early childhood is a critical period in the development, growth, and health of children. Many infants and toddlers in the United States spend time in nonparental early care and education (ECE) arrangements, which include care from child-care centers, family child-care homes, family members, and neighbors, or a combination of these providers. As of 2019, 14% of infants (0–12 months of age) and 27% of toddlers (1–2 years) participated in a center-based care arrangement; however, these statistics do not account for children cared for in family child-care homes, which are also an important source of care for this age group.1

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.

Suboptimal nutrition is a leading cause of illness, healthcare spending and lost productivity, predominantly from diet-related chronic diseases but also from undernutrition1,2. These burdens are not evenly distributed, contributing to health disparities affecting people who have lower income, are less educated and are members of minority ethnic groups, who more often have poor diets, hunger and related diseases.

OBJECTIVE: There have been conflicting reports concerning weight gain among adults during the COVID-19 epidemic. Although early studies reported large weight increases, several of these analyses were based on convenience samples or self-reported information. The objective of the current study is to examine the pandemic-related weight increase associated with the pandemic through May 2021. METHODS: We selected 4.25 million adults (18 to 84 y) in an electronic health record database who had at least two weight measurements between January 2019 and February 2020 and one after June 2020. We contrasted weight changes before and after March 2020 using mixed-effects regression models. RESULTS: Compared with pre-pandemic weight trend, there was a small increase (0.1 kg) in weight in the first year of the pandemic (March 2020 through March 2021). Weight changes during the pandemic varied by sex, age, and initial BMI, but the largest mean increase across these characteristics was < 1.3 kg. Weight increases were generally greatest among women, adults with a BMI of 30 or 35 kg/m(2) , and younger adults. CONCLUSION: Our results indicate that the mean weight gain among adults during the COVID-19 pandemic may be small. This article is protected by copyright. All rights reserved.

OBJECTIVE: To assess the association of body mass index (BMI) with inpatient care cost, duration, and acute complications among patients hospitalized for COVID-19 at 273 U.S. hospitals. METHODS: Children (2-17 years) and adults (≥18 years) hospitalized for COVID-19 during March 2020-July 2021 and measured BMI in a large electronic administrative healthcare database were included. We used generalized linear models to assess the association of BMI categories with the cost and duration of inpatient care. RESULTS: Among 108,986 adults and 409 children hospitalized for COVID-19, obesity prevalence was 53.4% and 45.0%, respectively. Among adults, overweight and obesity were associated with higher costs of care, and obesity was associated with longer hospital stays. Children with severe obesity had a higher cost of care, but not significantly longer hospital stays, compared to those with healthy weights. Children with severe obesity were 3.7 times (95% CI: 1.5 to 9.5) as likely to have invasive mechanical ventilation and 62% more likely to have an acute complication (95% CI, 39-90), compared to children with healthy weight. CONCLUSIONS: These findings show that patients with high BMIs experience significant healthcare burden during inpatient COVID-19 care. This article is protected by copyright. All rights reserved.

OBJECTIVE: To examine factors associated with water filter use (WFU) for drinking tap water at home and its association with consuming plain water and sugar-sweetened beverages (SSBs). DESIGN: Quantitative, cross-sectional study. SETTING: The 2018 SummerStyles survey data. SUBJECTS: U.S. adults (≥18 years; N=4042). MEASURES: Outcomes were intake of plain water (tap/bottled water) and SSBs. Exposure was WFU (yes, no, not drinking tap water at home). Covariates included sociodemographics, weight status, Census regions, and home ownership status. ANALYSIS: We used multivariable logistic regressions to estimate adjusted odds ratios (AOR) and 95% confidence interval (CI) for consuming tap water, bottled water, or total plain water >3 cups/day (vs. ≤3 cups) and SSBs ≥1 time/day (vs. <1 time) by WFU. RESULTS: Overall, 36% of adults reported using a filter for drinking tap water at home; 14% did not drink tap water at home. Hispanics had significantly higher odds of using a water filter (AOR=1.50, 95% CI=1.14-1.98) vs non-Hispanic White. Factors significantly associated with lower odds of WFU were lower education (AOR=.69, 95% CI=.55-.86 for ≤high school; AOR=.78, 95% CI=.64-.95 for some college, vs college graduate), not being married (AOR=.81, 95% CI=.66-.98, vs married/domestic partnership), and lower household income (AOR=.68, 95% CI=.68-.90 for <$35,000, vs ≥$100,000). Using a water filter was associated with higher odds of drinking >3 cups/day of tap water (AOR=1.33, 95% CI=1.13-1.56) and lower odds of SSBs ≥1 time/day (AOR=.76, 95% CI=.62-.92). Not drinking tap water at home was associated with higher odds of drinking >3 cups/day bottled water (AOR=3.46, 95% CI=2.70-4.44). CONCLUSIONS: WFU was associated with higher tap water intake and lower SSB intake among U.S. adults. WFU was higher among Hispanics, but lower among those with lower education and income and not married adults. Although WFU was associated with healthful beverage habits, additional considerations for WFU may include source water quality, oral health, cost, and proper use.

Background: The COVID-19 pandemic has triggered stress, anxiety, and disruption to many individuals’ daily lives, which might impact eating habits. Objective: To examine changes in eating habits related to less healthy foods and beverages during the early phase of the COVID-19 pandemic among US adults. Design: Cross-sectional study. Participants/setting: Authors used SummerStyles data gathered in June 2020 among 3916 US adults (≥18 years). Main outcome measures: The outcome of interest was the reported frequency of consuming more (1) unhealthy snacks and desserts including chips, cookies, and ice cream and (2) sugar-sweetened beverages (SSBs) like regular soda, fruit drinks, sports/energy drinks, sweetened coffee/teas during the COVID-19 pandemic. Responses were categorized as Never/Rarely, Sometimes, or Often/Always. Explanatory variables were sociodemographics, weight status, and census regions. Statistical analyses performed: We used multinomial regressions to calculate adjusted odds ratios (AOR) for Sometimes or Often/Always consuming more unhealthy snacks/desserts (vs. Never/Rarely); and Sometimes or Often/Always more SSBs (vs. Never/Rarely). Results: Overall, 36% of adults reported sometimes consuming more unhealthy snacks/desserts; 16% did so often/always. Twenty-two percent of adults reported sometimes drinking more SSBs; 10% did so often/always. Factors significantly associated with higher odds of reporting often/always consuming more unhealthy snacks/desserts were younger adults (AOR range = 1.51–2.86 vs. adults ≥65 years), females (AOR = 1.58 vs. males), non-Hispanic Black (AOR = 1.89 vs. non-Hispanic White), lower household income (AOR = 2.01 for <USD 35,000 vs. ≥USD 100,000), and obesity (AOR = 1.56 vs. underweight/healthy weight). Factors significantly associated with odds of Often/Always drinking more SSBs were being younger (AOR range = 2.26–4.39 vs. adults ≥65 years), non-Hispanic Black (AOR = 3.25 vs. non-Hispanic White), Hispanic (AOR = 1.75 vs. non-Hispanic White), non-Hispanic Other race/ethnicity (AOR = 2.41 vs. non-Hispanic White), lower education (AOR = 2.03 for ≤high school; AOR = 1.80 for some college vs. college graduate), lower household income (AOR range = 1.64–3.15 vs. ≥USD 100,000), and obesity (AOR = 1.61 vs. underweight/healthy weight). Conclusions: Consuming more sugary foods and SSBs during the first phase of the pandemic was higher in younger adults, lower-income adults, people of racial/ethnic minority groups, and adults with obesity. Dietary shifts to less healthy foods and drinks may influence metabolic health if sustained long-term. Implementing strategies to support individual’s healthy eating habits during the ongoing pandemic and the pandemic recovery may benefit health and wellness. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

The 2020-2025 Dietary Guidelines for Americans* advise incorporating more fruits and vegetables into U.S. residents' diets as part of healthy dietary patterns. Adults should consume 1.5-2 cup-equivalents of fruits and 2-3 cup-equivalents of vegetables daily.() A healthy diet supports healthy immune function (1) and helps to prevent obesity, type 2 diabetes, cardiovascular diseases, and some cancers (2); having some of these conditions can predispose persons to more severe illness and death from COVID-19 (3). CDC used the most recent 2019 Behavioral Risk Factor Surveillance system (BRFSS) data to estimate the percentage of states' adult population who met intake recommendations overall and by sociodemographic characteristics for 49 states and the District of Columbia (DC). Overall, 12.3% of adults met fruit recommendations, ranging from 8.4% in West Virginia to 16.1% in Connecticut, and 10.0% met vegetable recommendations, ranging from 5.6% in Kentucky to 16.0% in Vermont. The prevalence of meeting fruit intake recommendations was highest among Hispanic adults (16.4%) and lowest among males (10.1%); meeting vegetable intake recommendations was highest among adults aged 51 years (12.5%) and lowest among those living below or close to the poverty level (income to poverty ratio [IPR] <1.25) (6.8%). Additional policies() and programs that will increase access to fruits and vegetables in places where U.S. residents live, learn, work, and play, might increase consumption and improve health.

Childhood obesity is putting America's children at risk for poor health during childhood and into adulthood. Having obesity has been found to increase the hospitalization risk of COVID-19 for children 18 years or younger. Among hospitalized patients aged 12 to 18 years, obesity is a risk factor for severe COVID-19 illness.1 Obesity in the United States disproportionately impacts children from low-income households and racial and ethnic minority groups.2 Although early prevention is key, we cannot turn our backs on the one in five US children who already have obesity.

Fourteen million US children are affected by obesity, including 4.4 million with severe obesity.1,2 Excess weight can put children and adolescents at risk for serious and costly short- and long-term adverse health outcomes, including, but not limited to, cardiovascular disease, type 2 diabetes mellitus, and nonalcoholic fatty liver disease.3,4 Disparities in prevalence of obesity exist among different populations of children and adolescents. From 2015 to 2018, non-Hispanic black children and Mexican American youth 6–11 years of age had a higher prevalence of obesity (22.7% and 28.2%, respectively) than non-Hispanic white children (15.5%).5 These disparities are often related to contextual differences and social determinants of health, including poverty and socioeconomic status, parental education, early adverse childhood events, and access to healthier food options and safe and affordable physical activity opportunities.6–9

Obesity is a serious health concern in the United States, affecting more than one in six children (1) and putting their long-term health and quality of life at risk.* During the COVID-19 pandemic, children and adolescents spent more time than usual away from structured school settings, and families who were already disproportionally affected by obesity risk factors might have had additional disruptions in income, food, and other social determinants of health.(†) As a result, children and adolescents might have experienced circumstances that accelerated weight gain, including increased stress, irregular mealtimes, less access to nutritious foods, increased screen time, and fewer opportunities for physical activity (e.g., no recreational sports) (2,3). CDC used data from IQVIA's Ambulatory Electronic Medical Records database to compare longitudinal trends in body mass index (BMI, kg/m(2)) among a cohort of 432,302 persons aged 2-19 years before and during the COVID-19 pandemic (January 1, 2018-February 29, 2020 and March 1, 2020-November 30, 2020, respectively). Between the prepandemic and pandemic periods, the rate of BMI increase approximately doubled, from 0.052 (95% confidence interval [CI] = 0.051-0.052 to 0.100 (95% CI = 0.098-0.101) kg/m(2)/month (ratio = 1.93 [95% CI = 1.90-1.96]). Persons aged 2-19 years with overweight or obesity during the prepandemic period experienced significantly higher rates of BMI increase during the pandemic period than did those with healthy weight. These findings underscore the importance of efforts to prevent excess weight gain during and following the COVID-19 pandemic, as well as during future public health emergencies, including increased access to efforts that promote healthy behaviors. These efforts could include screening by health care providers for BMI, food security, and social determinants of health, increased access to evidence-based pediatric weight management programs and food assistance resources, and state, community, and school resources to facilitate healthy eating, physical activity, and chronic disease prevention.