Physical Activity-Friendly Policies and Community Design Features in the US, 2014 and 2021.

INTRODUCTION: The 2014 Community-Based Survey of Supports for Healthy Eating and Active Living documented the prevalence of US municipal policy and community design supports for physical activity. The survey was repeated in 2021. Our study examined change in the prevalence of supports from 2014 to 2021, overall and by municipality characteristic. METHODS: Municipalities were sampled independently each survey year. We calculated prevalence in 2014 and 2021 and the prevalence ratio (PR) for 15 supports covering zoning codes, park policies and budgets, design standards, Complete Streets policies, and shared use agreements. We used a Bonferroni-corrected Breslow-Day test to test for interaction by municipality characteristic. RESULTS: In 2014 (2,009 municipalities) compared with 2021 (1,882 municipalities), prevalence increased for several zoning codes: block sizes of walkable distances (PR = 1.46), minimum sidewalk width (PR = 1.19), pedestrian amenities along streets (PR = 1.15), continuous sidewalk coverage (PR = 1.14), and building orientation to pedestrian scale (PR = 1.08). Prevalence also increased for design standards requiring dedicated bicycle infrastructure for roadway expansion projects or street retrofits (PR = 1.19). Prevalence declined for shared use agreements (PR = 0.87). The prevalence gap widened between the most and least populous municipalities for Complete Streets policies (from a gap of 33.6 percentage points [PP] in 2014 to 54.0 PP in 2021) and for zoning codes requiring block sizes that were walkable distances (from 11.8 PP to 41.4 PP). CONCLUSION: To continue progress, more communities could consider adopting physical activity-friendly policies and design features.

Changes in Policy Supports for Healthy Food Retailers, Farmers Markets, and Breastfeeding Among US Municipalities, 2014-2021: National Survey of Community-Based Policy and Environmental Supports for Healthy Eating and Active Living (CBS-HEAL).

INTRODUCTION: Policies and practices at the local level can help reduce chronic disease risk by providing environments that facilitate healthy decision-making about diet. METHODS: We used data from the 2014 and 2021 National Survey of Community-Based Policy and Environmental Supports for Healthy Eating and Active Living to examine prevalence among US municipalities of policies to support access to healthier food in supermarkets, convenience stores, and farmers markets, as well as policies to support breastfeeding among government employees. Chi-square tests were conducted to compare prevalence estimates from 2021 to 2014 overall and according to municipal characteristics. RESULTS: In 2021, 29% of municipalities had at least 1 policy to encourage full-service grocery stores to open stores, which was not significantly different from 31% in 2014. Prevalence of having at least 1 policy to help corner stores sell healthier foods declined significantly from 13% in 2014 to 9% in 2021. Prevalence of policies providing all local government employees who were breastfeeding breaktime and space to pump breast milk increased significantly from 25% in 2014 to 52% in 2021. The percentage of municipalities that provided 8 or more weeks of paid maternity leave for employees increased significantly from 16% in 2014 to 19% in 2021. CONCLUSION: Prevalence of supports for supermarkets, convenience stores, and farmers markets generally did not increase among US municipalities from 2014 to 2021, while some supports for breastfeeding among municipal employees increased during this time. Opportunities exist to improve municipal-level policies that support healthy eating and breastfeeding among community residents and employees.

Changes in Physical Inactivity Among US Adults Overall and by Sociodemographic Characteristics, Behavioral Risk Factor Surveillance System, 2020 Versus 2018.

The COVID-19 pandemic may have disrupted people's work-life patterns and access to places to be physically active. Behavioral Risk Factor Surveillance System data were analyzed to assess changes in self-reported leisure-time physical inactivity. The results showed that prevalence of inactivity among US adults decreased 0.7 percentage points (95% CI: -1.2 to -0.3), from 24.5% in 2018 to 23.8% in 2020, and the greatest decreases were observed among rural-dwelling women, rural-dwelling men, and non-Hispanic White women. These findings highlight a need to understand and address factors that lead to differential changes in leisure-time physical inactivity across subpopulations during public health emergencies.

Meeting the Healthy People 2030 Added Sugars Target.

INTRODUCTION: Many Americans exceed the dietary recommendations for added sugars. Healthy People 2030 set a population target mean of 11.5% calories from added sugars for persons aged ≥2 years. This paper describes the reductions needed in population groups with varying added sugars intake to meet this target using four different public health approaches. METHODS: Data from the 2015-2018 National Health and Nutrition Examination Survey (n=15,038) and the National Cancer Institute method were used to estimate the usual percentage calories from added sugars. Four approaches investigated lowering intake among (1) the general U.S. population, (2) people exceeding the 2020-2025 Dietary Guidelines for Americans recommendation for added sugars (≥10% calories/day), (3) high consumers of added sugars (≥15% calories/day), or (4) people exceeding the Dietary Guidelines for Americans recommendation for added sugars with two different reductions on the basis of added sugars intake. Added sugars intake was examined before and after reduction by sociodemographic characteristics. RESULTS: To meet the Healthy People 2030 target using the 4 approaches, added sugars intake needs to decrease by an average of (1) 13.7 calories/day for the general population; (2) 22.0 calories/day for people exceeding the Dietary Guidelines for Americans recommendation; (3) 56.6 calories/day for high consumers; or (4) 13.9 and 32.3 calories/day for people consuming 10 to <15% and ≥15% calories from added sugars, respectively. Differences in added sugars intake were observed before and after reduction by race/ethnicity, age, and income. CONCLUSIONS: The Healthy People 2030 added sugars target is achievable with modest reductions in added sugars intake, ranging from 14 to 57 calories/day depending on the approach.

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.

Associations of self-reported chronic obstructive pulmonary disease with indicators of economic instability and stress - 16 states, 2017.

OBJECTIVES: To examine the association between chronic obstructive pulmonary disease status and indicators of economic instability and stress to better understand the magnitude of these issues in persons with chronic obstructive pulmonary disease. METHODS: Analyzed 2017 Behavioral Risk Factor Surveillance System data from 16 states that administered the 'Social Determinants of Health' module, which included economic instability and stress measures (N = 101,461). Associations between self-reported doctor-diagnosed chronic obstructive pulmonary disease status and each measure were examined using multinomial logistic models. RESULTS: Adults with chronic obstructive pulmonary disease were more likely (p < 0.001) than adults without to report not having enough money at month end (21.0% vs. 7.9%) or just enough money (44.9% vs. 37.2%); being unable to pay mortgage, rent, or utility bills (19.2% vs. 8.8%); and that often or sometimes food did not last or could not afford to eat balanced meals (37.9% vs. 20.6%), as well as stress all or most of the time (27.3% vs. 11.6%). Associations were attenuated although remained significant after adjustments for sociodemographic and health characteristics. DISCUSSION: Financial, housing, and food insecurity and frequent stress were more prevalent in adults with chronic obstructive pulmonary disease than without. Findings highlight the importance of including strategies to address challenges related to economic instability and stress in chronic obstructive pulmonary disease management programs.

Adults Meeting Fruit and Vegetable Intake Recommendations - United States, 2019.

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.

Food Preparation Practices for Infants Aged From 7 to 13 Months.

OBJECTIVE: To examine infant food preparation practices at age 7, 9, 11, and 13 months overall and by sociodemographic characteristics. DESIGN: Data from a longitudinal study from the US Department of Agriculture's Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) Infant and Toddler Feeding Practices Study-2 (ITFPS-2) were used. PARTICIPANTS: A sample of 1,904 infants (970 males and 934 females) enrolled in WIC who had been introduced to solid foods and were consuming food prepared at home. MAIN OUTCOME MEASURES: Food preparation practices included pureeing, mashing, chopping/dicing, and prechewing. Estimates were provided overall and by sociodemographics. ANALYSIS: Prevalence estimates were calculated for each survey month overall and by sociodemographics. Chi-square tests for independence were used to test for differences. RESULTS: Food preparation practices changed as infants aged. Pureeing and mashing were common in month 7 (57.8% and 59.6%, respectively), but chopping/dicing were the most prevalent by month 13 (85.4%). Food preparation practices did not vary by education status, but statistical differences were consistently observed by race and ethnicity and inconsistently observed by maternal age at birth. CONCLUSIONS AND IMPLICATIONS: Exposing children to a range of food textures at an appropriate age is important for developmental progress. Continued culturally relevant efforts by WIC educators and health care providers can emphasize the importance of early experiences with food textures.

Longitudinal associations between objective and perceived healthy food environment and diet: The Multi-Ethnic Study of Atherosclerosis.

INTRODUCTION: Research examining the influence of neighborhood healthy food environment on diet has been mostly cross-sectional and has lacked robust characterization of the food environment. We examined longitudinal associations between features of the local food environment and healthy diet, and whether associations were modified by race/ethnicity. METHODS: Data on 3634 adults aged 45-84 followed for 10 years were obtained from the Multi-Ethnic Study of Atherosclerosis. Diet quality was assessed using the Alternative Healthy Eating Index at Exam 1 (2000-2002) and Exam 5 (2010-2012). We assessed four measures of the local food environment using survey-based measures (e.g. perceptions of healthier food availability) and geographic information system (GIS)-based measures (e.g. distance to and density of healthier food stores) at Exam 1 and Exam 5. Random effects models adjusted for age, sex, education, moving status, per capita adjusted income, and neighborhood socioeconomic status, and used interaction terms to assess effect measure modification by race/ethnicity. RESULTS: Net of confounders, one standard z-score higher average composite local food environment was associated with higher average AHEI diet score (ß=1.39, 95% CI: 1.05, 1.73) over the follow-up period from Exam 1 to 5. This pattern of association was consistent across both GIS-based and survey-based measures of local food environment and was more pronounced among minoritized racial/ethnic groups. There was no association between changes in neighborhood environment and change in AHEI score, or effect measure modification by race/ethnicity. CONCLUSION: Our findings suggest that neighborhood-level food environment is associated with better diet quality, especially among racially/ethnically minoritized populations.

Prevalence of Municipal-Level Policies Dedicated to Transportation That Consider Food Access.

INTRODUCTION: Local governments can address access to healthy food and transportation through policy and planning. This study is the first to examine municipal-level transportation supports for food access. METHODS: We used a nationally representative sample of US municipalities with 1,000 or more persons from the 2014 National Survey of Community-Based Policy and Environmental Supports for Healthy Eating and Active Living (N = 2,029) to assess 3 outcomes: public transit availability, consideration of food access in transportation planning, and presence of demand-responsive transportation (DRT). We used χ2 tests to compare prevalences by municipal characteristics including population size, rurality, census region, median educational attainment, poverty prevalence, racial and ethnic population distribution, and low-income low-access to food (LILA) status. RESULTS: Among municipalities, 33.7% reported no public transit and 14.8% reported having DRT. Both public transit and DRT differed by population size (both P < .001) and census region (both P < .001) and were least commonly reported among municipalities with populations less than 2,500 (46.9% without public transit; 6.6% with DRT) and in the South (40.0% without public transit; 11.1% with DRT). Of those with public transit, 33.8% considered food access in transportation planning; this was more common with greater population size (55.9% among municipalities of ≥50,000 persons vs 16.8% among municipalities of <2,500 persons; P < .001), in the West (43.1% vs 26.8% in the Northeast, 33.7% in the Midwest, 32.2% in the South; P = .003), and municipalities with 20% or more of the population living below federal poverty guidelines (37.4% vs 32.2% among municipalities with less than 20% living in poverty; P = .07). CONCLUSION: Results suggest that opportunities exist to improve food access through transportation, especially in smaller and Southern communities, which may improve diet quality and reduce chronic disease.

Are neighbourhood restaurants related to frequency of restaurant meals and dietary quality? Prevalence and changes over time in the Multi-Ethnic Study of Atherosclerosis.

OBJECTIVE: To examine whether the density of neighbourhood restaurants affected the frequency of eating restaurant meals and subsequently affected diet quality. DESIGN: Cross-sectional and longitudinal designs. Structural equation models assessed the indirect relationship between restaurant density (≤3 miles (4·8 km) of participant addresses) and dietary quality (Healthy Eating Index 2010 (HEI)) via the frequency of eating restaurant meals, after adjustment for sociodemographics, select health conditions, region, residence duration and area-level income. SETTING: Urbanised areas in multiple regions of the USA, years 2000-2002 and 2010-2012. PARTICIPANTS: Participants aged 45-84 years were followed for 10 years (n 3567). RESULTS: Median HEI (out of 100) was fifty-nine at baseline and sixty-two at follow-up. The cross-sectional analysis found that residing in areas with a high density of restaurants (highest-ranked quartile) was associated with 52 % higher odds of frequently eating restaurant meals (≥3 times/week, OR: 1·52, 95 % CI 1·18, 1·98) and 3 % higher odds of having lower dietary quality (HEI lowest quartile < 54, OR: 1·03, 95 % CI 1·01, 1·06); associations were not sustained in longitudinal analyses. The cross-sectional analysis found 34 % higher odds of having lower dietary quality for those who frequently ate at restaurants (OR: 1·34, 95 % CI 1·12, 1·61), and more restaurant meals (over time increase ≥ 1 time/week) were associated with higher odds of having worse dietary quality at follow-up (OR: 1·21, 95 % CI 1·00, 1·46). CONCLUSIONS: Restaurant density was associated with frequently eating out in cross-sectional and longitudinal analyses but was associated with the lower dietary quality only in cross-sectional analyses. Frequent restaurant meals were negatively related to dietary quality. Interventions that encourage less frequent eating out may improve population dietary quality.

Percentage of Adolescents Meeting Federal Fruit and Vegetable Intake Recommendations - Youth Risk Behavior Surveillance System, United States, 2017.

According to the 2020-2025 Dietary Guidelines for Americans, persons should consume fruits and vegetables as part of a healthy eating pattern to reduce their risk for diet-related chronic diseases, such as cardiovascular disease, type 2 diabetes, some cancers, and obesity.* A healthy diet is important for healthy growth in adolescence, especially because adolescent health behaviors might continue into adulthood (1). The U.S. Department of Agriculture (USDA) recommends minimum daily intake of 1.5 cups of fruit and 2.5 cups of vegetables for females aged 14-18 years and 2 cups of fruit and 3 cups of vegetables for males aged 14-18 years.† Despite the benefits of fruit and vegetable consumption, few adolescents consume these recommended amounts (2-4). In 2013, only 8.5% of high school students met the recommendation for fruit consumption, and only 2.1% met the recommendation for vegetable consumption (2). To update the 2013 data, CDC analyzed data from the 2017 national and state Youth Risk Behavior Surveys (YRBSs) to describe the percentage of students who met intake recommendations, overall and by sex, school grade, and race/ethnicity. The median frequencies of fruit and vegetable consumption nationally were 0.9 and 1.1 times per day, respectively. Nationally, 7.1% of students met USDA intake recommendations for fruits (95% confidence interval [CI] = 4.0-10.3) and 2.0% for vegetables (upper 95% confidence limit = 7.9) using previously established scoring algorithms. State-specific estimates of the percentage of students meeting fruit intake recommendations ranged from 4.0% (Connecticut) to 9.3% (Louisiana), and the percentage meeting vegetable intake recommendations ranged from 0.6% (Kansas) to 3.7% (New Mexico). Additional efforts to expand the reach of existing school and community programs or to identify new effective strategies, such as social media approaches, might help address barriers and improve adolescent fruit and vegetable consumption.

Ultra-Processed Foods and Excess Heart Age Among U.S. Adults.

INTRODUCTION: A high percentage of total calories from ultra-processed foods has been associated with several cardiovascular disease risk factors. No study has examined the association between ultra-processed foods and heart age. This study examines the association between ultra-processed foods and excess heart age (difference between estimated heart age and chronological age) among U.S. adults. METHODS: The National Health and Nutrition Examination Survey (2009-2016) data for participants aged 30-74 years without cardiovascular disease or stroke (n=12,640) was used. Ultra-processed food was assigned based on NOVA classification of food processing, with ultra-processed food being the highest level. This study estimated the usual percentage of calories from ultra-processed foods and used sex-specific Framingham heart age algorithms to calculate heart age. The multivariable linear or logistic regression was used to examine the association between ultra-processed foods and excess heart age or likelihood of excess heart age being ≥10 years. Data analyses were conducted in 2020. RESULTS: The median usual percentage of calories from ultra-processed foods was 54.5% (IQR=45.8%‒63.1%). Adjusted excess heart age increased from 7.0 years (95% CI=6.4, 7.6) in the lowest quintile (Q1) to 9.9 years (95% CI=9.2, 10.5) in the highest quintile (Q5) (p<0.001). Compared with Q1, AORs for excess heart age of ≥10 years were 1.16 (95% CI=1.08, 1.25) in Q2, 1.29 (95% CI=1.14, 1.46) in Q3, 1.43 (95% CI=1.20, 1.71) in Q4, and 1.66 (95% CI=1.29, 2.14) in Q5 (p<0.001). The pattern of association was largely consistent across subgroups. CONCLUSIONS: U.S. adults consumed more than half of total daily calories from ultra-processed foods. A higher percentage of calories from ultra-processed foods was associated with higher excess heart age and likelihood of excess heart age of ≥10 years.

Identification of Measurement Needs to Prevent Childhood Obesity in High-Risk Populations and Environments.

INTRODUCTION: Children at highest obesity risk include those from certain racial/ethnic groups, from low-income families, with disabilities, or living in high-risk communities. However, a 2013 review of the National Collaborative for Childhood Obesity Research Measures Registry identified few measures focused on children at highest obesity risk. The objective is to (1) identify individual and environmental measures of diet and physical activity added to the Measures Registry since 2013 used among high-risk populations or settings and (2) describe methods for their development, adaptation, or validation. METHODS: Investigators screened references in the Measures Registry from January 2013 to September 2017 (n=351) and abstracted information about individual and environmental measures developed for, adapted for, or applied to high-risk populations or settings, including measure type, study population, adaptation and validation methods, and psychometric properties. RESULTS: A total of 38 measures met inclusion criteria. Of these, 30 assessed individual dietary (n=25) or physical activity (n=13) behaviors, and 11 assessed the food (n=8) or physical activity (n=7) environment. Of those, 17 measures were developed for, 9 were applied to (i.e., developed in a general population and used without modification), and 12 were adapted (i.e., modified) for high-risk populations. Few measures were used in certain racial/ethnic groups (i.e., American Indian/Alaska Native, Hawaiian/Pacific Islander, and Asian), children with disabilities, and rural (versus urban) communities. CONCLUSIONS: Since 2013, a total of 38 measures were added to the Measures Registry that were used in high-risk populations. However, many of the previously identified gaps in population coverage remain. Rigorous, community-engaged methodologic research may help researchers better adapt and validate measures for high-risk populations.

Dietary quality among children from 6 months to 4 years, NHANES 2011-2016.

BACKGROUND: The US Dietary Guidelines for Americans provide dietary recommendations for individuals aged ≥2 y and metrics exist to assess alignment. Nonfederal feeding recommendations exist for children <2 y, but limited metrics and assessment of dietary quality are available. OBJECTIVE: We aimed to assess dietary quality of children aged 6 mo-4 y using a modified Diet Quality Index Score (DQIS). METHODS: NHANES 2011-2016 dietary data were used to estimate the dietary quality of children 6 mo-4 y old using a modified DQIS. Differences in mean modified DQIS by demographics were assessed using linear regression. RESULTS: Mean modified DQIS ± SE was 22.4 ± 0.23 out of 45 possible points (50%) for children 6 mo-4 y of age on a given day. Modified DQIS scores on a given day decreased with age (27.7 ± 0.27 for 6- to 11-mo-olds, 23.9 ± 0.31 for 1-y-olds, 21.4 ± 0.26 for 2- to 3-y-olds, and 20.6 ± 0.49 for 4-y-olds; P < 0.0001 for trend). Children 6-11 mo old had 16% higher overall modified DQIS scores than 1-y-olds (P < 0.0001) and higher modified DQIS subcomponent scores for refined grains and protein, indicating higher age-appropriate intakes (P < 0.05). Similarly, children 6-11 mo old also had higher modified DQIS subcomponent scores, indicating no or limited intake, for 100% fruit juice, sugar-sweetened beverages, other added sugars, and salty snacks (P < 0.02). CONCLUSIONS: Dietary quality declines with age and may begin as early as 1 y. The modified DQIS tool could help assess the dietary quality of young children. This may be important when identifying programmatic and policy efforts aimed at establishing and maintaining healthy dietary patterns beginning at an early age.

Data for Decision-Making: Exploring the Division of Nutrition, Physical Activity, and Obesity's Data, Trends, and Maps.

Public health practitioners need quick and easy access to reliable surveillance data to monitor states' progress over time, compare benchmarks nationally or among states, and make strategic decisions about priorities and resources. Data, Trends, and Maps (DTM) at https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/index.html is a free, online interactive database that houses and displays data on nutrition, physical activity, breastfeeding, and obesity that practitioners can use for public health action. Created in 2015 by the Centers for Disease Control and Prevention's (CDC) Division of Nutrition, Physical Activity, and Obesity, DTM was updated and relaunched in April 2017 with the capability to customize and download data sets directly; DTM also has other user-friendly features, such as visualization options. Since its relaunch, DTM has received more than 386,000 page views from approximately 110,000 unique visitors. However, the potential exists for more widespread use of DTM if more public health practitioners understood what the site offered and how others have used it in the field. Here, we explain how public health practitioners can explore the most recent state-level data on nutrition, physical activity, breastfeeding, and obesity and use this data to inform programmatic and policy efforts to prevent and control chronic diseases. We demonstrate 3 different ways practitioners can visualize data (ie, Explore by Location, Explore by Topic, and the Open Data Portal) and present 3 real-world examples to highlight DTM's utility as a public health tool.

Local government retail incentives for healthier food retailers in the USA, 2014.

OBJECTIVE: National public health organizations recommend that local governments improve access to healthy foods. One way is by offering incentives for food retailer development and operation, but little is known about incentive use nationwide. We aimed to describe the national prevalence of local government reported incentives to increase access to healthy food options in three major food retail settings (farmers' markets, supermarkets, and convenience or corner (smaller) stores) overall and by municipality characteristics. DESIGN: Cross-sectional study using data from the 2014 National Survey of Community-Based Policy and Environmental Supports for Healthy Eating and Active Living. SETTING: USA, nationally representative survey of 2029 municipalities. PARTICIPANTS: Municipal officials (e.g. city/town managers or planners; n 1853). RESULTS: Overall, 67 % of municipalities reported incentives to support farmers' markets, 34 % reported incentives to encourage opening new supermarkets, and 14 % reported incentives to help existing convenience or corner stores. Municipality characteristics significantly associated with incentive use were larger population size (all settings), location in Midwest v. West (supermarkets, smaller stores), higher poverty level (farmers' markets) and ≤50 % of the population non-Hispanic White (supermarkets, smaller stores). The most commonly reported individual incentives were permission of sales on city property for farmers' markets, tax credits for supermarkets and linkage to revitalization projects for smaller stores. CONCLUSIONS: Most municipalities offered food retail incentives for farmers' markets, but fewer used incentives to open new supermarkets or assist existing smaller stores. National data can set benchmarks, provide relative comparisons for communities and identify areas for improvement.

Number of Eating Occasions and Source of Foods and Drinks Among Young Children in the United States: NHANES, 2009⁻2014.

An understanding of the source of children's foods and drinks is needed to identify the best intervention points for programs and policies aimed at improving children's diets. The mean number and type of eating occasions and the relative proportions of foods and drinks consumed from different sources were calculated among children aged 1-4 years (n = 2640) using data from the 2009-2014 National Health and Nutrition Examination Surveys. Children consumed 2.9 meals and 2.4 snacks each day. Among children who received anything from childcare, childcare provided 36.2% of their foods and drinks. The majority of foods and drinks came from stores for all children (53.2% among those receiving anything from childcare and 84.9% among those not). Among children receiving food from childcare, childcare is an important source of foods and drinks. Because most foods and drinks consumed by children come from stores, parents and caregivers may benefit from nutrition education to promote healthful choices when buying foods.