Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study.

BACKGROUND: Limited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied. OBJECTIVES: We examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes. METHODS: We used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics. RESULTS: Among 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [ß -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed. CONCLUSIONS: Residence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.

Patterns in Food Insecurity During Pregnancy, 2004 to 2020.

This survey study assesses patterns in food insecurity during pregnancy among individuals in 14 US states participating in the Pregnancy Risk Assessment Monitoring System from 2004 to 2020.

U.S. Nutrition Assistance Program Participation and Childhood Obesity: The Early Childhood Longitudinal Study 2011.

INTRODUCTION: The Supplemental Nutrition Assistance Program; Free/Reduced Priced Lunch Program; and Special Supplemental Nutrition Program for Women, Infants, and Children reduce food insecurity for millions of Americans with lower incomes. However, critics have questioned whether they increase obesity. This study examined whether program participation was associated with BMI z-score from kindergarten to fifth grade. METHODS: Data from 4,457 primary-grade students whose household incomes were equal to or below 200% of the federal poverty level from kindergarten to fifth grade as part of the Early Childhood Longitudinal Study, Kindergarten Class of 2010‒2011 were analyzed. Marginal structural models with inverse probability of treatment/censoring weights were used to estimate associations between Supplemental Nutrition Assistance Program/Free and Reduced Priced Lunch participation over time and fifth-grade BMI z-score, accounting for lost-to-follow-up and time-varying confounders. Weighted generalized estimating equations were used to examine associations between Special Supplemental Nutrition Program for Women, Infants, and Children participation and BMI z-score trends. All analyses incorporated sampling weights. The Early Childhood Longitudinal Study, Kindergarten Class of 2010‒2011 data were collected from 2010-2016; analyses were conducted in 2021 and 2022. RESULTS: At baseline, 2,419 (54.3%) respondents participated in the Supplemental Nutrition Assistance Program, 3,993 (89.6%) participated in Free/Reduced Priced Lunch, and 3,755 (84.2%) reported past participation in the Special Supplemental Nutrition Program for Women, Infants, and Children. No associations were found between any program and fifth-grade BMI z-score or between Special Supplemental Nutrition Program for Women, Infants, and Children participation and BMI z-score trend. CONCLUSIONS: Previous findings of relationships between program participation and BMI may have been because of weaker study designs and uncontrolled confounding. Participation in the Supplemental Nutrition Assistance Program; Free/Reduced Priced Lunch; and Special Supplemental Nutrition Program for Women, Infants, and Children was not associated with increased risk of childhood obesity in this recently conducted longitudinal study.

School Closures During COVID-19: Opportunities for Innovation in Meal Service.

In 2019, the National School Lunch Program and School Breakfast Program served approximately 15 million breakfasts and 30 million lunches daily at low or no cost to students.Access to these meals has been disrupted as a result of long-term school closures related to the COVID-19 pandemic, potentially decreasing both student nutrient intake and household food security. By the week of March 23, 2020, all states had mandated statewide school closures as a result of the pandemic, and the number of weekly missed breakfasts and lunches served at school reached a peak of approximately 169.6 million; this weekly estimate remained steady through the final week of April.We highlight strategies that states and school districts are using to replace these missed meals, including a case study from Maryland and the US Department of Agriculture waivers that, in many cases, have introduced flexibility to allow for innovation. Also, we explore lessons learned from the pandemic with the goal of informing and strengthening future school nutrition policies for out-of-school time, such as over the summer.

SNAP judgments into the digital age: Reporting on food stamps varies significantly with time, publication type, and political leaning.

The Supplemental Nutrition Assistance Program (SNAP) is the second-largest and most contentious public assistance program administered by the United States government. The media forums where SNAP discourse occurs have changed with the advent of social and web-based media. We used machine learning techniques to characterize media coverage of SNAP over time (1990-2017), between outlets with national readership and those with narrower scopes, and, for a subset of web-based media, by the outlet's political leaning. We applied structural topic models, a machine learning methodology that categorizes and summarizes large bodies of text that have document-level covariates or metadata, to a corpus of print media retrieved via LexisNexis (n = 76,634). For comparison, we complied a separate corpus via web-scrape algorithm of the Google News API (2012-2017), and assigned political alignment metadata to a subset documents according to a recent study of partisanship on social media. A similar procedure was used on a subset of the print media documents that could be matched to the same alignment index. Using linear regression models, we found some, but not all, topics to vary significantly with time, between large and small media outlets, and by political leaning. Our findings offer insights into the polarized and partisan nature of a major social welfare program in the United States, and the possible effects of new media environments on the state of this discourse.