Sweetened Beverage Tax Implementation and Change in Body Mass Index Among Children in Seattle.

Importance: Sweetened beverage taxes have been associated with reduced purchasing of taxed beverages. However, few studies have assessed the association between sweetened beverage taxes and health outcomes. Objective: To evaluate the association between the Seattle sweetened beverage tax and change in body mass index (BMI) among children. Design, Setting, and Participants: In this longitudinal cohort study, anthropometric data were obtained from electronic medical records of 2 health care systems (Kaiser Permanente Washington [KP] and Seattle Children's Hospital Odessa Brown Children's Clinic [OBCC]). Children were included in the study if they were aged 2 to 18 years (between January 1, 2014, and December 31, 2019); had at least 1 weight measurement every year between 2015 and 2019; lived in Seattle or in urban areas of 3 surrounding counties (King, Pierce, and Snohomish); had not moved between taxed (Seattle) and nontaxed areas; received primary health care from KP or OBCC; did not have a recent history of cancer, bariatric surgery, or pregnancy; and had biologically plausible height and BMI (calculated as weight in kilograms divided by height in meters squared). Data analysis was conducted between August 5, 2022, and March 4, 2024. Exposure: Seattle sweetened beverage tax (1.75 cents per ounce on sweetened beverages), implemented on January 1, 2018. Main Outcomes and Measures: The primary outcome was BMIp95 (BMI expressed as a percentage of the 95th percentile; a newly recommended metric for assessing BMI change) of the reference population for age and sex, using the Centers for Disease Control and Prevention growth charts. In the primary (synthetic difference-in-differences [SDID]) model used, a comparison sample was created by reweighting the comparison sample to optimize on matching to pretax trends in outcome among 6313 children in Seattle. Secondary models were within-person change models using 1 pretax measurement and 1 posttax measurement in 22 779 children and fine stratification weights to balance baseline individual and neighborhood-level confounders. Results: The primary SDID analysis included 6313 children (3041 female [48%] and 3272 male [52%]). More than a third of children (2383 [38%]) were aged 2 to 5 years); their mean (SE) age was 7.7 (0.6) years. With regard to race and ethnicity, 789 children (13%) were Asian, 631 (10%) were Black, 649 (10%) were Hispanic, and 3158 (50%) were White. The primary model results suggested that the Seattle tax was associated with a larger decrease in BMIp95 for children living in Seattle compared with those living in the comparison area (SDID: -0.90 percentage points [95% CI, -1.20 to -0.60]; P < .001). Results from secondary models were similar. Conclusions and Relevance: The findings of this cohort study suggest that the Seattle sweetened beverage tax was associated with a modest decrease in BMIp95 among children living in Seattle compared with children living in nearby nontaxed areas who were receiving care within the same health care systems. Taken together with existing studies in the US, these results suggest that sweetened beverage taxes may be an effective policy for improving children's BMI. Future research should test this association using longitudinal data in other US cities with sweetened beverage taxes.

Universal Free School Meals Policy and Childhood Obesity.

BACKGROUND AND OBJECTIVES: The Community Eligibility Provision (CEP), a universal free school meals policy, increases school meal participation by allowing schools in low-income areas to provide free breakfast and lunch to all students; however, its impact on obesity remains uncertain. The objective of this study is to estimate the association of CEP with child obesity. METHODS: School obesity prevalence was calculated using BMI measurements collected annually between 2013 and 2019 from students in California public schools in grades 5, 7, and 9. To estimate the association of CEP with obesity, we used a difference-in-differences approach for staggered policy adoption with an outcome regression model conditional on covariates, weighted by student population size. RESULTS: The analysis included 3531 CEP-eligible schools using school-level obesity prevalence calculated from 3 546 803 BMI measurements. At baseline, on average, 72% of students identified as Hispanic, 11% identified as white, 7% identified as Black, and 80% were eligible for free or reduced-price meals. Baseline obesity prevalence was 25%. Schools that participated in CEP were associated with a 0.60-percentage-point net decrease in obesity prevalence after policy adoption (95% confidence interval: -1.07 to -0.14 percentage points, P = .01) compared with eligible, nonparticipating schools, corresponding with a 2.4% relative reduction, given baseline prevalence. Meals served increased during this period in CEP-participating schools only. CONCLUSIONS: In a balanced sample of California schools, CEP participation was associated with a modest net decrease in obesity prevalence compared with eligible, nonparticipating schools. These findings add to the growing literature revealing potential benefits of universal free school meals for children's well-being.

Seattle's sweetened beverage tax implementation and changes in interior marketing displays.

Policymakers aim sugar-sweetened beverage (SSB) taxes at decreasing SSB consumption; however, little is known about their impact on beverage marketing in the retail environment. We assessed changes in interior marketing displays within large food stores before and after the implementation of Seattle's SSB tax. We used Poisson difference-in-difference (DID) models to estimate whether presence and variety of interior beverage marketing displays in Seattle changed from before to after the tax compared to displays in non-taxed comparison area stores, overall, and by beverage type. We found no significant changes in overall SSB or non-SSB interior marketing displays in Seattle versus the comparison area. There was less of an increase in displays for diet soda (DID 0.79, 90% CI 0.65, 0.97), and more of an increase in displays for diet energy drinks (DID 1.78, 90% CI 1.03, 3.09) in Seattle versus comparison area. There was mixed evidence that stores changed interior marketing displays in response to the SSB tax.

Sugar-sweetened beverage intake and convenience store shopping as mediators of the food insecurity-Tooth decay relationship among low-income children in Washington state.

INTRODUCTION: There are oral health disparities in the U.S. and children in food-insecure households have a higher burden of tooth decay. Identifying the mechanisms underlying the food insecurity-tooth decay relationship could inform public health interventions. This study examined how sugar-sweetened beverage (SSB) intake and frequent convenience store shopping mediated the food insecurity-tooth decay relationship for lower-income children. MATERIALS AND METHODS: Cross-sectional study data included a household survey, beverage questionnaire, and dental examination. The sample included 452 lower-income, racially-diverse, child-caregiver dyads in 2018 from King County in Washington state. The exposure was household food insecurity, the outcome was untreated decayed tooth surfaces, and the proposed mediators were SSB intake and frequent convenience store shopping (≥2 times/week). Causal mediation analyses via the potential outcomes framework was used to estimate natural indirect and direct effects. RESULTS: Fifty-five percent of participants were in food-insecure households, the mean number of decayed tooth surfaces among children was 0.87 (standard deviation [SD] = 1.99), the mean SSB intake was 17 fluid ounces (fl/oz)/day (SD = 35), and 18% of households frequently shopped at a convenience store. After adjusting for confounders, household food insecurity and log-transformed SSB intake (fluid ounces/day) were positively associated with decayed tooth surfaces, but not at the a α = 0.05 level (mean ratio [MR] 1.60; 95% confidence interval [CI] 0.89, 2.88; p = .12 and MR 1.16; 95% CI 0.93, 1.46; p = .19, respectively). Frequent convenience store shopping was associated with 2.75 times more decayed tooth surfaces (95% CI 1.61, 4.67; p < .001). SSB intake mediated 10% of the food insecurity-tooth decay relationship (p = .35) and frequent convenience store shopping mediated 22% (p = .33). CONCLUSIONS: Interventions aimed at addressing oral health disparities in children in food-insecure households could potentially focus on reducing intake of SSBs and improving access to healthful foods in lower-income communities.

Subtyping patients with chronic disease using longitudinal BMI patterns.

Obesity is a major health problem, increasing the risk of various major chronic diseases, such as diabetes, cancer, and stroke. While the role of obesity identified by cross-sectional BMI recordings has been heavily studied, the role of BMI trajectories is much less explored. In this study, we use a machine learning approach to subtype individuals' risk of developing 18 major chronic diseases by using their BMI trajectories extracted from a large and geographically diverse EHR dataset capturing the health status of around two million individuals for a period of six years. We define nine new interpretable and evidence-based variables based on the BMI trajectories to cluster the patients into subgroups using the k-means clustering method. We thoroughly review each cluster's characteristics in terms of demographic, socioeconomic, and physiological measurement variables to specify the distinct properties of the patients in the clusters. In our experiments, the direct relationship of obesity with diabetes, hypertension, Alzheimer's, and dementia has been re-established and distinct clusters with specific characteristics for several of the chronic diseases have been found to be conforming or complementary to the existing body of knowledge.

Maternal precarious employment and child overweight/obesity in the United States.

Precarious employment has increased in the United States and is now recognized as an important social determinant of health. Women are disproportionately employed in precarious jobs and are largely responsible for caretaking, which could deleteriously affect child weight. We utilized data from the National Longitudinal Survey of Youth adult and child cohorts (1996-2016; N = 4453) and identified 13 survey indicators to operationalize 7 dimensions of precarious employment (score range: 0-7, 7 indicating the most precarious): material rewards, working-time arrangements, stability, workers' rights, collective organization, interpersonal relations, and training. We estimated the association between maternal precarious employment and incident child overweight/obesity (BMI ≥85th percentile) using adjusted Poisson models. Between 1996 and 2016, the average age-adjusted precarious employment score among mothers was 3.7 (Standard Error [SE] = 0.02) and the average prevalence of children with overweight/obesity was 26.2% (SE = 0.5%). Higher maternal precarious employment was associated with a 10% higher incidence of children having overweight/obesity (Confidence Interval: 1.05, 1.14). A higher incidence of childhood overweight/obesity may have important implications at the population-level, due to the long-term health consequences of child obesity into adulthood. Policies to reduce employment precariousness should be considered and monitored for impacts on childhood obesity.

Changes in Precarious Employment and Health in the United States Amidst the COVID-19 Pandemic.

This study aimed to investigate the association between changes in employment precarity and changes in health amidst the COVID-19 pandemic. We conducted an online survey of 623 U.S. adults at-risk for cardiovascular disease, which queried respondents on employment, food insecurity, and blood pressure measurements in the Fall of 2020 and retrospectively, in February 2020. Respondents were also queried on perceived stress in the Fall of 2020. We created a multidimensional precarious employment score (PES) using 13 survey indicators, that operationalized the following dimensions of employment precarity (PES range: 0-13): material rewards, working time arrangements, employment stability, workers' rights, collective organization, interpersonal relations, and training opportunities. Using adjusted linear regression models, we investigated the association between a change in the PES and 1) change in systolic blood pressure, 2) change in pulse pressure, 3) change in food insecurity, and 4) perceived stress. Models controlled for race/ethnicity, age, gender, and education. Results indicated that employment precarity was 13 % higher between February and Fall 2020, particularly among women and non-Hispanic Black respondents. A change in the PES was associated with a change in food insecurity ( ß : 0.02; 95 % CI:0.01, 0.03) and higher perceived stress ( ß : 0.39; 95 % CI:0.25, 0.53). The PES was not associated with a change in systolic blood pressure ( ß : -0.22; 95 % CI:-0.76, 0.32) nor in pulse pressure ( ß : -0.33; 95 % CI: -0.73, 0.07). Policy approaches to mitigate the growth in employment precarity, and in turn food insecurity and stress, warrant consideration to prevent widening of health inequities.

Association between precarious employment and BMI in the United States.

OBJECTIVE: There is growing recognition that precarious employment is an important determinant of health, which may increase BMI through multiple mechanisms, including stress. It was investigated whether increases in precarious employment were associated with changes in BMI in the United States. METHODS: Data were from the National Longitudinal Survey of Youth adult cohort (1996-2016) (N = 7280). Thirteen indicators were identified to operationalize seven dimensions of precarious employment (range: 0-7, 7 indicating most precarious): material rewards, working-time arrangements, stability, workers' rights, collective organization, interpersonal relationships, and training. The precarious employment-BMI association was estimated using linear regression models and an instrumental variables approach; state- and individual-level firm sizes were the instruments for precarious employment. Models also included individual and year fixed effects and controlled for age, marital status, education, region, and industry. RESULTS: The average precarious employment score (PES) was 3.49 (95% CI: 3.46-3.52). The PES was the highest among Hispanic (4.04; 95% CI: 3.92-4.15) and non-Hispanic Black (4.02; 95% CI: 3.92-4.12) women with lower education. A 1-point increase in the PES was associated with a 2.18-point increase in BMI (95% CI: 0.30-4.01). CONCLUSIONS: Given that even small changes in weight affect chronic disease risk, policies to improve employment quality warrant consideration.

Association between health care access and food insecurity among lower-income older adults with multiple chronic conditions in Washington State, USA.

OBJECTIVE: Lower-income older adults with multiple chronic conditions (MCC) are highly vulnerable to food insecurity. However, few studies have considered how health care access is related to food insecurity among older adults with MCC. The aims of this study were to examine associations between MCC and food insecurity, and, among older adults with MCC, between health care access and food insecurity. DESIGN: Cross-sectional study data from the 2019 Behavioral Risk Factor Surveillance System survey. SETTING: Washington State, USA. PARTICIPANTS: Lower-income adults, aged 50 years or older (n 2118). MCC was defined as having ≥ 2 of 11 possible conditions. Health care access comprised three variables (unable to afford seeing the doctor, no health care coverage and not having a primary care provider (PCP)). Food insecurity was defined as buying food that did not last and not having money to get more. RESULTS: The overall prevalence of food insecurity was 26·0 % and was 1·50 times greater (95 % CI 1·16, 1·95) among participants with MCC compared to those without MCC. Among those with MCC (n 1580), inability to afford seeing a doctor was associated with food insecurity (prevalence ratio (PR) 1·83; 95 % CI 1·46, 2·28), but not having health insurance (PR 1·49; 95 % CI 0·98, 2·24) and not having a PCP (PR 1·10; 95 % CI 0·77, 1·57) were not. CONCLUSIONS: Inability to afford healthcare is related to food insecurity among older adults with MCC. Future work should focus on collecting longitudinal data that can clarify the temporal relationship between MCC and food insecurity.

Neighborhood Disadvantage, Patterns of Unhealthy Alcohol Use, and Differential Associations by Gender, Race/Ethnicity, and Rurality: A Study of Veterans Health Administration Patients.

OBJECTIVE: Stressful conditions within disadvantaged neighborhoods may shape unhealthy alcohol use and related harms. Yet, associations between neighborhood disadvantage and more severe unhealthy alcohol use are underexplored, particularly for subpopulations. Among national Veterans Health Administration (VA) patients (2013-2017), we assessed associations between neighborhood disadvantage and multiple alcohol-related outcomes and examined moderation by sociodemographic factors. METHOD: Electronic health record data were extracted for VA patients with a routine Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screen. Patient addresses were linked by census block group to the Area Deprivation Index (ADI), dichotomized at the 85th percentile, and examined in quintiles for sensitivity analyses. Using modified Poisson generalized estimating equations models, we estimated associations between neighborhood disadvantage and five outcomes: unhealthy alcohol use (AUDIT-C ≥ 5), any past-year heavy episodic drinking (HED), severe unhealthy alcohol use (AUDIT-C ≥ 8), alcohol use disorder (AUD) diagnosis, and alcohol-specific conditions diagnoses. Moderation by gender, race/ethnicity, and rurality was tested using multiplicative interaction. RESULTS: Among 6,381,033 patients, residence in a highly disadvantaged neighborhood (ADI ≥ 85th percentile) was associated with a higher likelihood of unhealthy alcohol use (prevalence ratio [PR] = 1.06, 95% CI [1.05, 1.07]), severe unhealthy alcohol use (PR = 1.14, 95% CI [1.12, 1.15]), HED (PR = 1.04, 95% CI [1.03, 1.05]), AUD (PR = 1.14, 95% CI [1.13, 1.15]), and alcohol-specific conditions (PR = 1.21, 95% CI [1.18, 1.24]). Associations were larger for Black and American Indian/Alaska Native patients compared with White patients and for urban compared with rural patients. There was mixed evidence of moderation by gender. CONCLUSIONS: Neighborhood disadvantage may play a role in unhealthy alcohol use in VA patients, particularly those of marginalized racialized groups and those residing in urban areas.

The Availability and Price of Healthy Food in Seattle by Neighborhood Sociodemographic Characteristics.

INTRODUCTION: Unequal access to healthy food in the local food retail environment contributes to diet quality disparities. We assessed whether in-store availability and prices of healthy foods differ by neighborhood-level income and racial and ethnic composition in a representative sample of food stores in Seattle, Washington. METHODS: We developed and validated an in-store survey tool and surveyed 134 stores. We measured availability and prices of 19 items. For each store, we calculated a healthy food availability score (range, 0-25), and mean prices within each category. Using census tract data, we identified the median household income and proportions of Black and Hispanic residents for each store's neighborhood and grouped them by tertiles of these neighborhood characteristics across Seattle census tracts. We used Wald tests to compare mean availability scores and prices between tertiles and applied postestimation weights to reflect store-type distributions within each tertile. RESULTS: Neighborhoods with lower income and a larger proportion of Black residents had lower healthy food availability scores compared with neighborhoods with higher income (8.06 [95% CI, 7.04-9.07] vs 12.40 [95% CI, 10.63-14.17], P < .001) and fewer Black residents (8.88 [95% CI, 7.79-9.98] vs 12.32 [95% CI, 10.51-14.14], P = .003). Availability did not differ by Hispanic population proportions. Mean prices of grains, eggs, and meat were lower in neighborhoods with larger proportions of Black residents. CONCLUSION: We found systematic differences in healthy food availability based on neighborhood-level income and racial composition. In-store assessments of the food retail environment can inform local, tailored strategies to improve healthy food access.

Costs, Reach, and Benefits of COVID-19 Pandemic Electronic Benefit Transfer and Grab-and-Go School Meals for Ensuring Youths' Access to Food During School Closures.

Importance: School meals are associated with improved nutrition and health for millions of US children, but school closures due to the COVID-19 pandemic disrupted children's access to school meals. Two policy approaches, the Pandemic Electronic Benefit Transfer (P-EBT) program, which provided the cash value of missed meals directly to families on debit-like cards to use for making food purchases, and the grab-and-go meals program, which offered prepared meals from school kitchens at community distribution points, were activated to replace missed meals for children from low-income families; however, the extent to which these programs reached those who needed them and the programs' costs were unknown. Objective: To assess the proportion of eligible youths who were reached by P-EBT and grab-and-go meals, the amount of meals or benefits received, and the cost to implement each program. Design, Setting, and Participants: This cross-sectional study was conducted from March to June 2020. The study population was all US youths younger than 19 years, including US youths aged 6 to 18 years who were eligible to receive free or reduced-price meals (primary analysis sample). Exposures: Receipt of P-EBT or grab-and-go school meals. Main Outcomes and Measures: The main outcomes were the percentage of youths reached by P-EBT and grab-and-go school meals, mean benefit received per recipient, and mean cost, including implementation costs and time costs to families per meal distributed. Results: Among 30 million youths eligible for free or reduced-price meals, grab-and-go meals reached an estimated 8.0 million (27%) and P-EBT reached 26.9 million (89%). The grab-and-go school meals program distributed 429 million meals per month in spring 2020, and the P-EBT program distributed $3.2 billion in monthly cash benefits, equivalent to 1.1 billion meals. Among those receiving benefits, the mean monthly benefit was larger for grab-and-go school meals ($148; range across states, $44-$176) compared with P-EBT ($110; range across states, $55-$114). Costs per meal delivered were lower for P-EBT ($6.46; range across states, $6.41-$6.79) compared with grab-and-go school meals ($8.07; range across states, $2.97-$15.27). The P-EBT program had lower public sector implementation costs but higher uncompensated time costs to families (eg, preparation time for meals) compared with grab-and-go school meals. Conclusions and Relevance: In this economic evaluation, both the P-EBT and grab-and-go school meal programs supported youths' access to food in complementary ways when US schools were closed during the COVID-19 pandemic from March to June 2020.

Evaluation of Seattle's sweetened beverage tax on tax support and perceived economic and health impacts.

It is important to understand whether the publics' attitudes towards sugary beverage taxes (SBT) change after tax implementation to ensure the long-term success of tax policies. Seattle's SBT went into effect on January 1, 2018. We administered a mixed-mode survey to adults in Seattle and comparison areas, pre- and 2-years post-tax, to evaluate the impact of the SBT on 1) tax support and 2) perceived tax impacts (N = 2,933). Using a difference-in-differences approach, we employed adjusted income-stratified modified Poisson models to test the impacts of the tax on net changes in attitudes in Seattle versus the comparison areas, pre- to post-tax. Among lower-income individuals in Seattle, support for the tax increased by 14% (PRDD: 1.14; 95% CI: 1.08, 1.21) and there was a 20% net-increase in the perception that the SBT would positively affect the economy (PRDD: 1.20; 95% CI: 1.05, 1.39), compared to changes in the comparison areas. Among higher-income individuals in Seattle, support for the tax was not different (PRDD: 0.93; 95% CI: 0.70, 1.22) pre- to post-tax, but there was a net-increase in the perception that the tax would have negative effects on small businesses (PRDD: 1.44; 95% CI: 1.03, 2.00) and family finances (PRDD: 1.86; 95% CI: 1.09, 3.19). After living with the tax for 2-years, support for the tax increased among lower-income individuals in Seattle. Tax support was high and unchanged among higher-income individuals, but overall attitudes became more negative. Policy makers should consider investing in ongoing campaigns that explain the benefits of SSB taxes and revenues.

Impacts of the Seattle Sweetened Beverage Tax on the Perceived Healthfulness of Sweetened Beverages.

Sweetened beverage taxes are associated with significant reductions in the purchase of sweetened beverages. However, it is unclear whether these taxes play a role in shifting perceptions about sweetened beverages and their health impacts. We utilized pre- and post-tax survey data collected from residents in Seattle, WA, a city that implemented a sweetened beverage tax in 2018 and from residents in an untaxed comparison area. We used income-stratified difference-in-difference linear probability models to compare net changes in the perceived healthfulness of overall sweetened beverage consumption and of different types of sugary beverages over time and across income groups. We found significant increases in the percentage of Seattle respondents with lower incomes who agreed that sweetened beverage consumption raises the risk of diabetes (DD = 9 percentage points (pp) (95% CI: 5 pp, 13 pp); p = 0.002), heart disease (DD = 7 pp (95% CI: 2 pp, 12 pp); p = 0.017), and serious health problems (DD = 12 pp (95% CI: 5 pp, 19 pp); p = 0.009), above and beyond changes in the comparison area. The most prominent changes in perceived health impacts of sweetened beverages were found among lower-income Seattle respondents, while fewer changes were found among higher-income Seattle respondents. Future work could examine the relationship between exposure to pro-tax messaging and changes in consumer perceptions of sweetened beverages.

Patient-centered primary care and receipt of evidence-based alcohol-related care in the national Veterans Health Administration.

BACKGROUND: Health care systems are increasingly integrating screening and care for unhealthy alcohol use into primary care settings. However, gaps remain in receipt of evidence-based care after the detection of unhealthy alcohol use. Patient-centered primary care may be an important determinant of alcohol-related care receipt, but its role is underexamined. METHODS: We examined associations between previously developed, clinic-level measures of patient-centered care (indicative of medical home model implementation) and receipt of alcohol-related care in a national cohort of VA patients who screened positive for unhealthy alcohol use (defined by AUDIT-C alcohol screen of ≥5; n = 568,909) for whom brief intervention is recommended. We also assessed alcohol-related care in a subsample of these patients with a past-year alcohol use disorder (AUD) diagnosis (n = 144,511) for whom specialty addictions care and medications are recommended. The study used modified Poisson models to assess associations between measures of patient-centered care and individual-level receipt of recommended alcohol-related care. We presented prevalence ratios (PR) and marginal probabilities to illustrate relative and absolute differences, respectively, in outcomes associated with clinic-level measures. RESULTS: Compared to patients in the lowest-ranked clinics, patients were more likely to receive brief intervention in clinics with the highest rankings of self-management support (PR: 1.06; 95% CI: 1.10, 1.11), communication (PR: 1.08; 95% CI: 1.04, 1.12), access (PR: 1.11; 95% CI: 1.06, 1.17), and care coordination (PR: 1.09; 95% CI: 1.03, 1.15). The study also observed a greater likelihood of receiving AUD medications among those receiving care at clinics with higher ratings of comprehensiveness (PR: 1.35; 95% CI: 1.10, 1.66) and shared decision-making (PR: 1.35; 95% CI: 1.12, 1.61); higher clinic-level access ratings were associated with specialty addictions care (PR: 1.15; 95% CI: 1.00, 1.32). Patients in the clinics with the highest summary patient-centered care ratings, compared to the lowest, had higher likelihoods of receiving brief intervention (PR: 1.07; 95% CI: 1.03, 1.12) and medications (PR: 1.16; 95% CI: 1.00, 1.35). The study did not identify any other statistically significant findings. CONCLUSIONS: This observational study found that dimensions of patient-centered care were associated with increased receipt of recommended alcohol-related care. Future studies should investigate strategies to improve patients' experience of alcohol-related care.

Menu Labeling Utilization and Socioeconomic Status in West Virginia and Mississippi.

OBJECTIVE: Determine the association between socioeconomic status and self-reported noticing and using calorie menu labels in 2 states with high poverty and obesity. DESIGN: Cross-sectional study of responses to the 2016 Behavioral Risk Factor Surveillance System Menu Labeling Module. PARTICIPANTS: Representative sample of noninstitutionalized adults aged ≥ 18 years in West Virginia and Mississippi (n = 9,469). MAIN OUTCOME MEASURES: The outcomes were reported noticing and using menu labels to make decisions at fast-food restaurants. Independent variables were highest attained education and federal poverty level (% FPL). ANALYSIS: Generalized linear models estimated prevalence ratios for noticing and using menu labels. Models mutually adjusted for education, % FPL, age, sex, race/ethnicity, and body mass index. RESULTS: Eighty-six percent of respondents reported noticing, and 56% reported using menu labels. Compared with individuals with less than high school education, college graduates were 11% more likely to report noticing (95% confidence interval, 1.06-1.18; P < 0.001) and 18% more likely to report using (95% confidence interval, 1.06-1.30; P < 0.01) menu labels. Patterns were similar for % FPL. CONCLUSIONS AND IMPLICATIONS: These data support further investigation of menu labels among subgroups and a larger geographic scope. Limitations of the menu labeling module question and the cross-sectional nature of the existing literature warrant additional research.

Sweetened beverage taxes: Economic benefits and costs according to household income.

Taxing sweetened beverages has emerged as an important and effective policy for addressing their overconsumption. However, taxes may place a greater economic burden on people with lower incomes. We assess the degree to which sweetened beverage taxes in three large US cities placed an inequitable burden on populations with lower incomes by assessing spending on beverage taxes by income after taxes have been implemented, as well as any net transfer of funds towards lower income populations once allocation of tax revenue is considered. We find that while lower income populations pay a higher percentage of their income in beverage taxes, there is no difference in absolute spending on beverage taxes per capita, and that there is a sizable net transfer of funds towards programs targeting lower income populations. Thus, when considering both population-level taxes paid and sufficiently targeted allocations of tax revenues, a sweetened beverage tax may have characteristics of an equitable public policy.

Healthy Food Environments in Food Pantries: Lessons Learned from a Sodium Reduction Intervention.

In the United States, food pantries increasingly serve as regular food sources for low income households experiencing high rates of chronic disease, including hypertension. Sodium consumption is a modifiable risk factor for hypertension, so pantry customers would benefit from access to low-sodium foods. Pantry customers often experience difficulty acquiring healthy foods, however; little is known about pantry foods' sodium content specifically. This study assesses the sodium content of pantry foods and lessons learned from an adaptable intervention to support pantries in adopting policies and environmental changes to make healthy, lower-sodium foods appealing and accessible. We conducted sodium assessments of food at 13 food pantries, tracked implementation of intervention strategies, and interviewed 10 pantry directors. More than half of food items in 11 categories met sodium standards for foods to be chosen "often". Pantry directors reported valuing the intervention approach and implemented six of nine behavioral economics strategies, especially those targeting the visibility and convenience of foods, along with layout changes and expanded customer choice. One pantry adopted an agency-specific nutrition policy and 12 adopted a coalition-level policy. Results can inform intervention efforts to make available healthy options appealing and easy to select while also improving the customer experience in food pantries.

A Qualitative Study of Living in a Healthy Food Priority Area in One Seattle, WA, Neighborhood.

Policy makers in several major cities have used quantitative data about local food environments to identify neighborhoods with inadequate access to healthy food. We conducted qualitative interviews with residents of a healthy food priority area to assess whether residents' perceptions of food access were consistent with previous quantitative findings, and to better understand lived experience of food access. We found that proximity to stores, transportation mode, and cost shaped decisions about food shopping. The local food bank played an important role in improving food access. Participants had varied suggestions for ways to improve the neighborhood, both related and unrelated to the food environment.

Perceptions and Impact of a Youth-led Childhood Obesity Prevention Intervention among Youth-leaders.

OBJECTIVE: To evaluate the impact of a youth-led nutrition intervention on youth-leaders themselves. DESIGN: Mixed methods, including: in-depth interviews and a quasi-experimental quantitative study comparing youth-leaders and nonparticipant comparison youth. ANALYSIS: Qualitative analysis using direct content analysis. Difference-in-differences analyses assessing quantitative program impact. RESULTS: Youth-leaders perceived that the intervention impacted themselves, the youth-participants, and their respective social networks. Youth-leaders experienced greater increases in intentions to eat healthfully (p=0.04), and greater decreases in support for healthy eating from their friends (p=0.01), than the comparison group. CONCLUSIONS/IMPLICATIONS: Youth-leaders reported multiple levels of intervention impact, and increased intentions for healthy eating; however, additional research is needed to enhance impact on behavioral outcomes.